Flooding is considered one of the most devastating natural disasters in the world. In countries like India with
climatic conditions occurrence of heavy rain fall and subsequent discharge of water leads to Flood. Flooding
creates major damages to life , their habitats and the economy By installing of flood alerting systems near
major waterways vital information can be provide so that lives and property can be protected. Normal Weather
monitoring and alerting systems are not quick and accurate enough to predict floods in time to prevent personal or
environmental damages. The government has to spend tons of money in flood mitigation plans to help the victims
and also to reduce the number in the long run damages that can occur after flooding. Since Most of the flood alerting
systems involves high cost they are deployed on select locations based on priority.In this project we make use of a
cost effective system using raspberry pi board and sensors, to measure flood flow rate and rise of water level in
revvers and water bodies and alert government authorities and people instantly by transmitting information using
IOT. In the present work we have used thingspeak-IOT platform . The data can be accessed from android smart
phones using thingsView mobile application at any time from anywhere in the world.
This Project and presentation is created by 'Shanjedul Hassan'
ABSTRACT
Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges.
This ppt is helpful in learning the Automatic Irrigation System Using IoT-based Sensors to sense the Temperature, Humidity, and Soil Moisture present in the soil and surrounding air.
IOT attracts people and makes people's life easy where people from anywhere can control their all-electric appliances with just one single click.
Implementation of Internet of Things for Water Quality Monitoringijtsrd
To make sure the safe supply of the drinking water the quality of the water needs to be monitored. As the monitoring of the water parameter is a complex process as it has been going through several laboratory testing processes and though it is time consuming. The system for monitoring the water quality in the Internet of Things IoT consists of a number of sensors which are used for measuring the parameters of the water these parameters are temperature, pH, turbidity, and CO2 of the water. The measured values of the parameter from the sensors can be processed by Arduino pro mini microcontroller which can be used as a core controller. System focus on continuous monitoring of water in the IOT platform. Internet of things is the network of physical objects embedded with electronics, sensors, software, and network connectivity. Monitoring water parameter can be done from anywhere as a central office using thinger.io which is an open source IoT platform as free server data can be continuously pushed on the cloud so we can see data in real time operation. Sensors are connected with the Arduino pro mini and this can send the parameter value to the Wi Fi module ESP8266 which require internet for sending this parameter values to thinger.io from the thinger.io anyone can see the real time values of the water parameter and these values are also shown on the LCD16×2 screen which is connected to the microcontroller. Priya S. Bhagat | Dr. Vijay S. Gulhane | Prof. Tanuj S. Rohankar ""Implementation of Internet of Things for Water Quality Monitoring"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23655.pdf
Paper URL: https://www.ijtsrd.com/engineering/information-technology/23655/implementation-of-internet-of-things-for-water-quality-monitoring/priya-s-bhagat
Iot based water quality monitoring systemBinayakreddy
As per increase in water pollution there is need of controlling pollution in water is finished by monitoring water quality.
Our system consists of various sensors which will compute the standard values of water in real time for effective action and is accurate and only less manpower required.
Flood is one of the natural disasters which cannot be avoided totally. Every year,
death rate due to flood increases because of absence of early warning. To solve this
problem, this paper demonstrates the idea and implementation of a Flood Monitoring
and Alerting system using Internet of Things (IOT) technology. This system comprises
of three parts. The first part measures the height of the water using ultrasonic distance
measuring sensor. The second part is sending the height information to web page
using the Ethernet shield. The third part is making call to residences to alert them
about flood through voice message. The call is made through the most popular mobile
standard Global System for Mobile Communication (GSM) and ARP33A3 is used to
play the recorded voice message.
Water is an essential thing for crops and plants in agriculture. In traditional agriculture systems are take large amount of time to watering the crops lands and also have a lots of water wastes. Avoiding these problems drip irrigation systems are introduced. Drip irrigation technique is the best and efficient technique to supply the water to plants/crops in effective manner. In our IoT based smart and automatic drip irrigation system is solve the problems in existing systems and also provide the many features to farmers. This system is using Wemos D1 ESP 8266 which controls all sensors and send and receive the sensing values through the internet. In this paper explains the over view installation, system design and working of system. Shilpa. A"Smart Drip Irrigation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12888.pdf http://www.ijtsrd.com/computer-science/other/12888/smart-drip-irrigation-system/shilpa-a
This Project and presentation is created by 'Shanjedul Hassan'
ABSTRACT
Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges.
This ppt is helpful in learning the Automatic Irrigation System Using IoT-based Sensors to sense the Temperature, Humidity, and Soil Moisture present in the soil and surrounding air.
IOT attracts people and makes people's life easy where people from anywhere can control their all-electric appliances with just one single click.
Implementation of Internet of Things for Water Quality Monitoringijtsrd
To make sure the safe supply of the drinking water the quality of the water needs to be monitored. As the monitoring of the water parameter is a complex process as it has been going through several laboratory testing processes and though it is time consuming. The system for monitoring the water quality in the Internet of Things IoT consists of a number of sensors which are used for measuring the parameters of the water these parameters are temperature, pH, turbidity, and CO2 of the water. The measured values of the parameter from the sensors can be processed by Arduino pro mini microcontroller which can be used as a core controller. System focus on continuous monitoring of water in the IOT platform. Internet of things is the network of physical objects embedded with electronics, sensors, software, and network connectivity. Monitoring water parameter can be done from anywhere as a central office using thinger.io which is an open source IoT platform as free server data can be continuously pushed on the cloud so we can see data in real time operation. Sensors are connected with the Arduino pro mini and this can send the parameter value to the Wi Fi module ESP8266 which require internet for sending this parameter values to thinger.io from the thinger.io anyone can see the real time values of the water parameter and these values are also shown on the LCD16×2 screen which is connected to the microcontroller. Priya S. Bhagat | Dr. Vijay S. Gulhane | Prof. Tanuj S. Rohankar ""Implementation of Internet of Things for Water Quality Monitoring"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23655.pdf
Paper URL: https://www.ijtsrd.com/engineering/information-technology/23655/implementation-of-internet-of-things-for-water-quality-monitoring/priya-s-bhagat
Iot based water quality monitoring systemBinayakreddy
As per increase in water pollution there is need of controlling pollution in water is finished by monitoring water quality.
Our system consists of various sensors which will compute the standard values of water in real time for effective action and is accurate and only less manpower required.
Flood is one of the natural disasters which cannot be avoided totally. Every year,
death rate due to flood increases because of absence of early warning. To solve this
problem, this paper demonstrates the idea and implementation of a Flood Monitoring
and Alerting system using Internet of Things (IOT) technology. This system comprises
of three parts. The first part measures the height of the water using ultrasonic distance
measuring sensor. The second part is sending the height information to web page
using the Ethernet shield. The third part is making call to residences to alert them
about flood through voice message. The call is made through the most popular mobile
standard Global System for Mobile Communication (GSM) and ARP33A3 is used to
play the recorded voice message.
Water is an essential thing for crops and plants in agriculture. In traditional agriculture systems are take large amount of time to watering the crops lands and also have a lots of water wastes. Avoiding these problems drip irrigation systems are introduced. Drip irrigation technique is the best and efficient technique to supply the water to plants/crops in effective manner. In our IoT based smart and automatic drip irrigation system is solve the problems in existing systems and also provide the many features to farmers. This system is using Wemos D1 ESP 8266 which controls all sensors and send and receive the sensing values through the internet. In this paper explains the over view installation, system design and working of system. Shilpa. A"Smart Drip Irrigation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12888.pdf http://www.ijtsrd.com/computer-science/other/12888/smart-drip-irrigation-system/shilpa-a
The project is designed to develop an automatic irrigation system which switches the pump motor ON/OFF on sensing the moisture content of the soil. In the field of agriculture, use of proper method of irrigation is important. The advantage of using this method is to reduce human intervention and still ensure proper irrigation.
The project uses an arduino which is programmed to receive the input signal of varying moisture condition of the soil through the sensing arrangement. This is achieved by using an arduino which acts as interface between the sensing arrangement . Once the controller receives this signal, it generates an output that drives a relay for operating the water pump. An LCD display is also interfaced to the microcontroller to display status of the soil and water pump. The sensing arrangement is made by using two stiff metallic rods inserted into the field at a distance. Connections from the metallic rods are interfaced to the control unit.
The concept in future can be enhanced by integrating GSM technology, such that whenever the water pump switches ON/OFF, an SMS is delivered to the concerned person regarding the status of the pump. We can also control the pump through SMS.
“IOT based smart irrigation system” is for to create an IOT base automated irrigation mechanism which turns the pumping motor ON and OFF pass command through IOT platform.
Automatic Irrigation System is a prototype for a system of irrigation or watering automatically based on the Arduino microcontroller integrated with proximity sensors (Ultrasonic Sensor), the DC motor and the pump using LED indicator lights.
Made by :
Andika Jamal Nurganda 151611004
Putri Sintia Sari 151611021
Rizki Verdian 151611025
Refrigeration and Air Conditioning Engineering
Polytechnic State of Bandung
2016
The project is designed to develop an automatic irrigation system which switches the pump motor ON/OFF on sensing the moisture content of the soil. In the field of agriculture, use of proper method of irrigation is important. The advantage of using this method is to reduce human intervention and still ensure proper irrigation.
The project uses an arduino which is programmed to receive the input signal of varying moisture condition of the soil through the sensing arrangement. This is achieved by using an arduino which acts as interface between the sensing arrangement . Once the controller receives this signal, it generates an output that drives a relay for operating the water pump. An LCD display is also interfaced to the microcontroller to display status of the soil and water pump. The sensing arrangement is made by using two stiff metallic rods inserted into the field at a distance. Connections from the metallic rods are interfaced to the control unit.
The concept in future can be enhanced by integrating GSM technology, such that whenever the water pump switches ON/OFF, an SMS is delivered to the concerned person regarding the status of the pump. We can also control the pump through SMS.
“IOT based smart irrigation system” is for to create an IOT base automated irrigation mechanism which turns the pumping motor ON and OFF pass command through IOT platform.
Automatic Irrigation System is a prototype for a system of irrigation or watering automatically based on the Arduino microcontroller integrated with proximity sensors (Ultrasonic Sensor), the DC motor and the pump using LED indicator lights.
Made by :
Andika Jamal Nurganda 151611004
Putri Sintia Sari 151611021
Rizki Verdian 151611025
Refrigeration and Air Conditioning Engineering
Polytechnic State of Bandung
2016
WEB BASED SMART IRRIGATION SYSTEM USING RASPBERRY PI IAEME Publication
The major population of India mainly depends upon Agriculture. Nowadays the
ground water levels are also decreased due to global warming and uncertain rain fall.
The conventional irrigation techniques have some problems like farmer should visit
the field regularly even at night, then he may face some hazards like snake bite,
electric shock and etc. In this paper a web based smart irrigation system using
Raspberry Pi is implemented. The proposed system checks the temperature and
moisture content present in the soil. The motor is also automatically controlled ON
and OFF, when the 3-phase supply is present in the field and also with the flow of
water. The acquired temperature and moisture content of the soil are sent to
Raspberry Pi using nRF24L01 transceiver. Raspberry Pi posts the received values on
the webpage. When we enter the acquired parameter values in the soil test blogs, the
webpage shows the suggestions of pesticides and crops that need to be taken by the
farmer to increase the yield. The system can reduce the water consumption and
wastage of water.
WEB BASED SMART IRRIGATION SYSTEM USING RASPBERRY PIIAEME Publication
The major population of India mainly depends upon Agriculture. Nowadays the
ground water levels are also decreased due to global warming and uncertain rain fall.
The conventional irrigation techniques have some problems like farmer should visit
the field regularly even at night, then he may face some hazards like snake bite,
electric shock and etc. In this paper a web based smart irrigation system using
Raspberry Pi is implemented. The proposed system checks the temperature and
moisture content present in the soil. The motor is also automatically controlled ON
and OFF, when the 3-phase supply is present in the field and also with the flow of
water. The acquired temperature and moisture content of the soil are sent to
Raspberry Pi using nRF24L01 transceiver. Raspberry Pi posts the received values on
the webpage. When we enter the acquired parameter values in the soil test blogs, the
webpage shows the suggestions of pesticides and crops that need to be taken by the
farmer to increase the yield. The system can reduce the water consumption and
wastage of water.
In this Project, a multi-input DC-DC converter is proposed and studied for hybrid electric vehicles (HEVs). Compared to conventional works, the output gain is enhanced, photovoltaic (PV) panel and energy storage system (ESS) are the input sources for proposed converter. The Super capacitor is considered as the main power supply and roof-top PV is employed to charge the battery, increase the efficiency and reduce fuel economy. The converter has the capability of providing the demanded power by load in absence of one or two resources. Moreover, power management strategy is described and applied in control method. A prototype of the converter is also implemented and tested to verify the analysis.
A mobile application which can save time, effort and money by giving technical video explanation based on the recognized image for learners. The collected video information contains all the detailed explanation of the scanned image done by the user. This application groups Augmented reality , 3d objects , sound , video , AI for image recognition into an easy and compact application for the benefit of the every learner. This web application is built C#, UNITY, VUFORIA with the help of Vuforia server connected by asserts. This mobile application serves as an easier way to access details and documentaries related to recognized object. It includes an automatic AR Camera and image target along with the video player which makes it easier for recognizing the image and to learn. The database is done with Vuforia cloud database. The UI provides an excellent user friendly environment that makes the communication more interactive.
Agricultural research has strengthened the optimized
economical profit, internationally and is very vast and
important field to gain more benefits.
In future agriculture is the only scope for all the people. But
today number of people having land, but they don’t know how
to yield the crops.
So many of people are doing useless agriculture by
cultivating the crop on improper soil. To implement the
application to identify the types of soil,water source of that
land whether that land is based on rain or bore water. And
suggest what of crop is suitable for that soil. So through this
application provide application for the people to know about
the agriculture. There is no any application to know about the
cultivation. However, it can be enhanced by the use of different
technological resources, tool, and procedures. Predict the type
of crop which one is suitable for that particular soil, weather
condition, temperature and so on. So for, using machine
learning with the set of data set are identified the crop for the
corresponding soil.
In this engaged life, people tend to forget
scheduling their meetings and events that are very
important in their day to day life. They wish to have
someone who keeps on prompting them to lineup the work
and to make sure that they accomplished the scheduled
task on time. The solution to this problem is proposed
through an Android Application named “Nudge” using
artificial intelligence. This application is built using
Android Studio IDE 3.3 released by the Google. The
application is used to trigger alarms based on locations,
where the user can set a reminder to a location and select a
range within which the alarm should be triggered. Once
the user move into that range, the alarm goes on. This
application is also used to set reminders based on the mails
the user receives. Suppose, if a user receives a mail
containing any schedule for a meeting or an event, this
application will automatically set a reminder to that
particular event in the OS calendar. This application also
includes facility to directly set a reminder to the OS
calendar.
Keywords-Location, reminder, alarm, calendar, gmail, date
In the EXISTING SYSTEM, Ballot
based Voting is present, but still there is no system to
avoid Proxy Casting and Recasting is implemented.
We do not have an option to see our casted Vote also.
There is no security in this current application. In the
PROPOSED SYSTEM, a novel electronic voting
system based on Blockchain that addresses some of
the limitations in existing systems and evaluates some
of the popular blockchain frameworks for the purpose
of constructing a blockchain-based e-voting system.
In the MODIFICATION part of the project, we
integrate Aadhaar card linked mobile number for
OTP generation, only then the voter can cast the vote,
this system prevents casting and re-casting of proxies.
The Android application is widely used in all
sectors. In our application it helps to track the
location of the bus. By waiting near the bus stop
for a long time this application helps to reduce the
waiting time of the students using Google map. The
arrival time of a bus is calculated based upon the
pickup point and the starting time of a bus in the
shuttle routes. Providing the accurate bus timing
will be helpful for all the students, staff to catch the
bus at the right time. In a college bus driver is
assigned with a mobile phone where we can use to
track the current location of the bus. Notification
will be sending to the students and parents once
the bus is nearby pick up point and drop point by
using Geo-fencing. Quick Response code is used to
track the attendance of the student whether they
boarded the bus at the pickup point. Common
alert message will be sent to students, staffs and
faculty about the holidays or any crucial
information.
Geo-fencing, Google map, GPS
(Global Positioning System)
The objective of this paper is to use the
Android mobile application to purchase grocery
items. This would help the consumers to purchase the
grocery items through their mobile application and
get the grocery items delivered to their home, office
or anywhere else directly. The users can also select
the nearby provision store or any other supermarket
which is present in their location and then select their
items. The application is thoroughly built only in the
Android platform and is supported only for Android
mobiles. Thus, the application guarantee about userfriendly
in use, provides help desk, security services
etc. This would save the time of the purchaser instead
of going to the grocery store to snap up the items and
standing on a big queue for debiting the products
andwould also help the shop proprietor to develop
their business which will not depreciate their business
revenue for adapting this system by the consumers. It
also helps retailers to create brand awareness so that
the consumers feel self-assured to themselves about
the products procure through online. This would lead
the consumers to increase their familiarity in
purchasing grocery products through an online
application using the internet. The shopkeepers
should also ensure timely delivery of ordered grocery
products without any imperfection in the products
and also ensuring the damage to the products at the
time of deliverance.
Our future battle field system will have more difficulties to maintain security, because of increasing military competitive. Ability to understand, predict and adopt the vast array of inter-networked things is very difficult. Unwanted fire, unauthorized human intervention and other object movement will play major important role for affecting military environment. This project aims to help our future military environment by introducing new technology LoRaWAN in IoT (Internet of Things). LoRaWAN (Long Range Wide Area Network) is a state -of- art commercial of the self (COTS) technology. This project consist of sensors, embedded microcontrollers equipped with LoRaWAN, embedded processors equipped with LoRaWAN and cloud technology. By introducing this new technology in our future military environment we can easily find out criminal activities and fire hazards.
These days heart diseases are
considered as the major health issue. It
includes heart attack and cardiac arrest.
Heart attack is the global leading cause
of death for both the genders and
occurrence is not always know.
Sometimes heart attack is often
compared with other type of pain and
not often dealt with it. Hence, this
project is to implement the heart rate
monitoring using IOT. The patients are
expected to carry or wear a hardware
sensor. The sensor with note the heart
rate and transmits it through internet.
The patient may be expected to set the
high and low heart rate individually. On
reaching the high rate or going below
the expected heart rate, an emergency
alert notification is sent to the patient’s,
guardian, doctor and
ambulance(optional) android devices.
Wildlife entering in to populated areas has
recently become very Popular. The space for wild
animals is decreasing as humans are encroaching
forests. It creates great loss to property and life
when wild animals enter in to cities. We use latest
advances in technology such as Internet of Things
(IoT) to create an alert system of possible wildlife
leaving the forest and also the message will send to
the users Mobile to alert them. We use low cost
motion detectors and Passive Infrared sensors to
achieve this. We relay information of such motion
to a control centre to take further actions. We also
include making loud noise through speakers in
which the animals cannot enter in to land. The
basic idea of IoT is to connect different sensors
and establish communication and also provide
services. In this article, we make use of several IoT
devices at the periphery of natural reserve to
create an alert system. This system can also be
used to find out smugglers and other people
illegally entering in to the forest.
—In a laboratory experiment was conducted on
the utilization of Ethanol-Diesel emulsion in a single
cylinder direct injection diesel engine, a single cylinder,
water cooled, four stroke diesel engine was used. The
principal goals of the present work are to obtain emission
data and combustion characteristics for this type of Diesel
Engine, and to identify the ratio of Emulsion which is
effective in reducing emissions. Experiments were
conducted with emulsions viz (90%diesel + 10%ethanol),
(80% diesel + 20% ethanol), (70% diesel + 30%ethanol) as
fuel. While AVL smoke meter was employed to measure
the smoke density in HSU, the exhaust gas analyzer was
used to measure the NOx emission. High volume sampler
was employed to measure the particulate matter emitted at
the exhaust. The combustion characteristics were studied
using AVL combustion analyser. From the experimental
investigation it was found that the smoke, particulate
matter and Oxides of Nitrogen emissions were reduced
marginally. From the pressure curve and cumulative heat
release curve, it was observed that the combustion started
earlier and the rate of pressure rise increased marginally.
The present research work demonstrates the
preparation of Copper Oxide Nanoparticles (CuO NPs) and
investigates the thermo mechanical properties of the CuO NPs
embedded in the polymer composites experimentally. In this study,
CuO NPs were produced by aqueous precipitation method and
morphology of the NPs was studied using Field Emission
Transmission Electron Microscope (FESEM). Epoxy resin and glass microsphere were considered the base material for the preparation of
the Nano based polymer composites. In order to fabricate the Nano
based polymer composites, CuO NPs with 1.0wtpercentage were
embedded in the base material by means of compression moulding
press. Nano composites proved higher thermal conductivity
enhancement rather than the base material. While comparing to the
base material, the maximum four-point bending strength of 415 MPa
was obtained from the Nano based polymer composites. The test
results obtained from the TG study revealed that an addition of CuO
NPs had acted as the thermal retardant and CuO NPs had delayed
thermal degradation of the Nano based polymer composites. Based
on the test results, it can be suggested that the newly fabricated
nanocomposites have achieved the improved thermal and mechanical
properties.
The Surface roughness prediction method using
artificial neural network (ANN) and Adaptive Neuro Fuzzy
Inference System (ANFIS) are developed to investigate the
effects of cutting conditions during turning of EN8 material.
The ANN model of surface roughness parameters (Ra) is
developed with the cutting conditions such as cutting speed,
feed rate and depth of cut as the affecting process
parameters.
The experiments are planned and totally 27 settings
with three levels defined for each of the factors in order to
develop the knowledge based system. The ANN training
method is used for back-propagation training algorithm
(BPTA) and also for training the Adaptive neuro fuzzy
inference system (ANFIS). We have compared the
Artificial Neural Network and Adaptive neuro fuzzy
inference systems.
The main objective of this paper is to
determine casting defects generally happening in an
aluminium die casting process and efforts have been
taken to identify the tools which eliminate the casting
defects. In global prospective this study briefs the
application of the various tools that are used in the
industries for improvement of quality in foundry
industry. In our national prospective these tools are not
so popular, hence this study will help us to utilise the
available technology through which the productivity is
enhanced with safe and economical means. The QC
tools were used to analyse the casting condition of the
given pattern with three dimensional simulations for the
result preparation. This work has been carried out to
improve the quality of the pattern which is made with
gravity die casting process and this was achieved
through continuous quality control operation with QC
tools, then it was taken to test in some simulation
software. The latest trend available in casting and
foundry shops are the scientific approach in
optimization of all kind of fields including optimization
of defects in castings. These trends are incorporated in
the analysis of aluminium die casting.
Friction Stir Welding, a type of welding which was
discovered in the year of 1991 with a few countable methods
and processes. But today it is one of the necessary and
important type of welding techniques. To develop it, several
researchers showed their interests in this technique. Today,
it acts as the heart of welding of automobiles. Thousands of
inventions has been made in field of Friction Stir Welding
and also successfully being implemented. If a researcher
tries to make some research in this field, he has to go
through thousands of journals where hours of time is being
consumed. To solve that problem several Re-view journals
are being published and also successfully solved this issue
of time consumption. In this paper, similarly a re-view of
several important and different types of papers are discussed
with their results, outcomes, the parameters being performed
for analysis.
This paper also discusses about various methods and various
metals as tools and job materials. It will be much easier and
lenient to understand from this paper to research. The
authors of the papers also clearly explained about the usages
and applications of their methods and provided several
statistical data for clear observation of their methods
Pure and Al substituted Langanite
(La3Ga5.5Nb0.5O14) ceramics have been synthesized
by solid state sintering method and studied their
structural, dielectric and electrical properties. The
crystalline nature was confirmed by powder XRD
studies. The ac conductivity and dielectric
properties of La3Ga5.5-xAlxNb0.5O14 samples were
examined by using complex impedance technique.
Surface morphology and elemental composition
were studied by energy-dispersive x-ray
spectroscopy and scanning electron microscopy.
The frequency dependence of dielectric constant,
dielectric loss and AC conductivity were studied in
the frequency range of 100 KHz to 3 MHz at
different temperatures. The activation energy was
calculated using Arrhenius plot. The lattice
parameter, grain size, dielectric constant and AC
conductivity of pure LGN ceramics were deeply
affected by Al substitution in pure LGN.
In this paper, the non-invasive
methodology for removing Fetal Electrocardiogram
(FECG) is gained by subtracting the balanced
variation of maternal electrocardiogram (MECG)
movement from the abdominal electrocardiogram
(AECG) banner. The banner assessed from the
mother's guts (AECG) is regularly overpowered by
maternal heartbeat. The maternal portion of the
AECG is the nonlinearly changed variation of
MECG. This paper uses an Adaptive Neuro-Fuzzy
Interference System (ANFIS) structure. It is used
for finding the non-direct change and the ensuing
banner are set up with people based request
figurings. This strategy involves some specific
issues which are a direct result of the low force of
the fetal ECG which is sullied by various
wellsprings of checks. It joins maternal ECG,
electromyogram (EMG) signals, power line
impedances and sporadic electronic upheavals.
Along these lines, we are proposing an improved
multimode PSO estimation for overcoming this
issue. In addition, methods like wavelet change,
flexible filtering, thresholding are moreover used.
We have furthermore empowered the thoracic and
stomach signals using MATLAB programming. It
uses only two signs recorded at the thoracic and
stomach regions of mother's skin. Similarly, our
test shows that the proposed count can expel FECG
banner immediately in pregnancy period and that is
one of the basic focal points of figuring.
Almost since the first days of flight, man has been
concerned with the safe escape from an aircraft, which
was no longer flyable. Early escape equipment
consisted of a recovery parachute only. As aircraft
performance rapidly increased during World War II, it
became necessary to assist the crew members in
gaining clear safe separation from the aircraft. This
was accomplished with an ejector seat, which was
powered by a propellant driven catapult - the first use
of a propulsive element in aircrew escape Since then,
this collection of componentry has evolved through
several generations into today's relatively complex
systems, which are highly dependent upon propulsive
elements. Ejection seats are one of the most complex
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is simple: To lift the pilot straight out of the aircraft to
a safe distance, then deploy a parachute to allow the
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The current paper is mainly about maintaining a secure
environment and also free from thefts that are happening
in our home. The present paper discusses about the
detection of intruders with the help of the various
devices and software.. OpenCV(open source computer
vision) is the major software that is being used in our
present work. For detecting faces we are using various
algorithms like Haar cascade, linear SVM, deep neural
network etc. The main method that we have proposed in
our work is, if any person comes in front of the pi
camera, first it will look for potential matches that we
have already stored in our system If the module finds a
match then it continues to record until any intruder
comes. If the face is not recognized then the unknown
person’s face will be captured and a snap shot will be
sent to the user’s email. The device is developed using
Raspberry Pi b+ with 1.4 GHz quad core processor,
raspberry pi camera module and a Wireless dongle to
communicate with user’s email.
OpenCV, Rassberry pi, python
The aim of this article is to explain the readers the technique of sending data from the sensor
through the Raspberry pi and communicating it to the Thingspeak cloud which is an IOT
platform. To explain the procedure a simple ultrasonic sensor HC-SR-04 which senses objects
up to a distance of 13 ft connected with a raspberry Pi board is used.
This tutorial describe about Raspberry Pi board, Ultrasonic sensor, circuit design for sensing of
data, Python programming script with step by step interpretation. Finally procedure for creating a
channel in ThinSpeak for uploading our data and to read the uploaded data from a remote
desktop/mobile is also included in this tutorial.
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FLOOD ALERTING SYSTEM USING RASPBERRY PI & THINGSPEAK
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FLOOD ALERTING SYSTEM USING RASPBERRY PI
& THINGSPEAK
Dinesh Kumar R, Paneerselvam M, Surendar R, Ganesh V,
Final year UG Student, Department of Electrical and Electronics Engineering
Velammal Engineering College,Chennai-600099
ABSTRACT
Flooding is considered one of the most devastating natural disasters in the world. In countries like India with
climatic conditions occurrence of heavy rain fall and subsequent discharge of water leads to Flood. Flooding
creates major damages to life , their habitats and the economy By installing of flood alerting systems near
major waterways vital information can be provide so that lives and property can be protected. Normal Weather
monitoring and alerting systems are not quick and accurate enough to predict floods in time to prevent personal or
environmental damages. The government has to spend tons of money in flood mitigation plans to help the victims
and also to reduce the number in the long run damages that can occur after flooding. Since Most of the flood alerting
systems involves high cost they are deployed on select locations based on priority.In this project we make use of a
cost effective system using raspberry pi board and sensors, to measure flood flow rate and rise of water level in
revvers and water bodies and alert government authorities and people instantly by transmitting information using
IOT. In the present work we have used thingspeak-IOT platform . The data can be accessed from android smart
phones using thingsView mobile application at any time from anywhere in the world.
1 .INTRODUCTION
The drastic climatic changes due to the effect from
various human activities such as pollutions, cutting of
innumerable trees and too much of gas emission are
the some of the main reason for natural disasters that
occur in worldwide . The most common factor that
cause major damage to life, property and country’s
economy is the flood .Flooding is brought on by an
increased quantity of water in lake or river when it is
overflowing. When a dam fractures and abruptly
releasing a massive quantity of water not only
houses and property are damaged , sewage overflow
and chemical spillage also leads to a variety of
diseases afterwards. To manage these kind of
situations and alert people understanding of increased
water level and speed of water flow are valuable for
discovering potential seriousness of the flood. Use of
IoT based-system is attracting attention of
researchers since in this system data from various
devices are collectively sensed by sensors and
provide various services without human intervention
[1]. Lo et al. [2] have proposed an automatic system
to monitor the flood based on the remote cyber
surveillance systems . For measureing water level
at every second Azid et al [3] have used pressure
sensor. Jana Priya et al. [4] and Satria et al. [5] have
demonstrated the idea and implemented a flood
monitoring and alert system using different sensors.
This project presents the details of how the data -
like flood speed and flood level are collected from
sensors and made available on cloud by using
Raspberry pi and Thingspeak-an IOT platform. The
data from the IOT cloud can be accessed by android
smart phones at anytime from anywhere in the world
using the mobile app thingshow.
2 Flood Alerting :Basic Concepts
The proposed flood alerting system to check the
flood speed and level basically consists of a
microcontroller, ultrasonic sensor, flow meter, and a
web server. Fig.1 shows the block diagram of the
system. YF-S201 Hall effect sensor is used to
gauge the flow rate of flood. The microcontroller
used in the present system is Raspberry Pi 4B
development board. The hall effect flow sensor -
physically placed in water stream is used to measure
the flow rate. An analog pulse generated Hall effect
flow sensor is sent to the raspberry pi . pi board is
2. International Journal of Trendy Research in Engineering andTechnology
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programmed to read the signal. In the same way an
ultrasonic distance sensor -which measures the time
of travel by echo signal gives the water level of
flood in river- The Pi board is also programmed to
send the data to a cloud are using an external web
server named as Thingspeak so as to alert the general
public.
Fig.1 Flood alerting system-.
Advantages of the proposed system:
Improves flood alerting system
Intelligent management of the services .
Due to automation it will reduce the time tocheck the
parameters.
Low maintenance.
Real time information on the website.
3. System hardware design
The Raspberry Pi 4B board is the central module of
the whole Flood alerting system. Its main parts
include: main processing chip unit, memory, power
supply HDMI Out i.e. VGA display, Ethernet port,
and USB ports. Sensor components are connected
to Raspberry pi through various GPIO pin 16 (or
GPIO23) which will be discussed in the following
section
3.1Raspberry Pi3 Model B
It is a fantastic platform for building build
automation systems. The Raspberry Pi3 model B
board [6] is used as a “hub” for automation systems,
connecting to open-source hardware parts like
sensors and actuators. Raspberry Pi3 Model B is
capable of doing all jobs that normal desktop
computer does.
The following are the main features of Raspberry
Pi3ModelB [7]
It is faster and more powerful than its predecessors.
It has built -in wireless and Bluetooth connectivity,
Due to this feature it is the ideal IoT solutions.
It is Built on the latest Broadcom 2837 ARMv8
64bit processor
It has 1.2GHz QUAD Core Broadcom BCM2837
64bit ARMv8 processor,
BCM43438 Wi-Fi on board,
Bluetooth Low Energy (BLE) on board.
The Raspberry Pi3B model is shown in fig.2
Figure .2 Raspberry Pi 3 Model B module
Raspberry Pi 3Model B run on Linux based OS. It
boots and runs from the SD card. It does not have any
internal memory other than the ROM. It has an SD
card slot which is capable of reading up to 32 GB.
All 28 - GPIO pins in raspberry Pi3 Model B are
programmed using Python. The I/O devices like
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sensors and all i/o pins connected to GPIO pins in
raspberry pi board based on the requirements.
Rapberry pi GPIO pin diagram is shown in fig.3
Figure 3 GPIO pin diagram
3.2 Flood Level Sensor
Flood level Sensor LV-MaxSonar-EZ [8,9 ]used to
find the flood level is an ultrasonic rangefinder.
Interfacing of this sensor with raspberry pi is
discussed below,
LV-MaxSonar EZ is a 7 stick module . In this stick
numbers 1,2 & 3 are respectively connected to GND-
(-ve) Vcc and GPIO 15 of raspberry pi biard as
shown in fig 2. Since the sensing range of this sensor
is 15-645 cm it can be used to measure the level of
water in rivers flood.
The distance /level is obtained by multiplying the
speed of the sound and elapsed time. That is the
distance is 34300x elapsed time.
Figure 4: Interfacing Diagram-Ultrasonic Sensor
MB1040 LV- MaxSonar with Raspberry-PI.
3.3 Flood Flow rate Sensor YF-S201
The flow rate of flood is measured with the help of
Hall Effect sensor type flow meter. Hall Effect is
defined as the production of a voltage difference
across an electrical conductor, perpendicular to an
electric current passing through the conductor and a
magnetic field perpendicular to the current.
In Hall Effect based flow rate sensor the output
voltage is varied in response to a magnetic field.
Hall Effect sensors are used for many applications
which includes current detection, speed detection
,proximity switching and positioning.
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A flow rate of 1-30 l/m can be measured using this
sensor and it can withstand a water pressure of
2.0Mpa. In the present work we have used pulse type
Flow sensor YF-S201[10] . It contains a wheel
which rotates when water flows through it. The water
flow speed can be measured by counting the number
of revolutions made by the wheel in the sensor. In
the present work the flow rate sensor is interfaced
with Raspberry Pi board. The reading obtained is in
the form of a pulse. If pulse count gets increased it is
identified that flow speed is faster. If it is less count,
it is assumed that revolution is slow because the
water flow is slow on passing across the flow sensor.
Fig.5 shows the flow sensor interfaced with
Raspberry pi board.
Figure 5 Interfacing of Flow meter sensor with
Raspberry pi
4. Design Implementation
The sensor reading were accessed from sensors
using Raspberry Pi platform with the following
specifications:
• SBU Raspberry Pi 2 900 MHz Quad Code ARM
Cortex-A7
• Bootable SanDisk Ultra 8GB micro SD Card
• Sensors- LV-MaxSonar and YF-S201
Raspbian Os installation programming for sensors
procedure for connecting Raspberry pi with laptop
using putty an dXming server sre discussed in the
following section
4.1 OS Installation in pi
Download OS from link raspberrypi.org [ 11]
Extract zip file to Memory card on computer or
laptop
Then insert SD card in to R pi SD card slot.
Connect USB power cable, Connect HDMI to VGA
cable and to Monitor, Connect Mouse and Keyboard
to USB of R Pi
After powering it will ask to install OS.
We can select multiple OS. Select Rassbian OS.
Select Keyboard type ZA. Click on Install. It will
take 20 to 30 Mins.
4.2 Steps for Programming
Connect raspberry pi Hardware setup, give supply
Click on R pi symbol (Strawberry/like start in
windows)
Open Python 2 (IDLE)
Click on File
Select new file
Untilled file will be open
Write your code in this file
4.3 Steps for connecting Raspberry pi with laptop
Though Raspberry Pi is “Pocket Size PC”, for
debugging & project purposes its difficult to carry an
additional display. Moreover we may not have
HDMI display at places where we projects.. So, we
need to connect the Raspberry pi to a laptop.
The procedure to connect Pi to laptop is explained
briefly in the following section. More details for
readers are given in reference 12.
1.After Burning the raspbian OS to sd Connect Rp
to my home router using ethernet cable.
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2.install Xming and putty in my laptop and start
them.
3.Enable X-11 forwarding in putty, and login to
raspberry pi's ip address from 2.
4.try to load 'lxsession'
To do this simply:
1. In PuTTY: go to Connection->SSH->X11
2. Tick Enable X11 forwarding
3. Change X Display location to -> localhost:0
4. Run xming, connect to RPi with PuTTY
5. In the shell, type startlxde
Now raspberry can be accessed from laptop using x
ming server. The program in Python for both flood
flow rate sensor and level sensor which are given in
Appendix can be run and viewed from the x
mingserver.
5 OPEN SOURCE IOT PLATFORM -
THINGSPEAK
There are various Open Source Cloud Platforms
available Like Google Cloud Platform, ThingWorx,
Thing Speak etc .In the present work we have used
ThingSpeak. ThingSpeak is an open source Internet
of Things (IoT) application and API to store . It
retrieves data from different things using the HTTP
protocol over the Internet or via a LAN. ThingSpeak
empowers the making of sensor logging applications,
area following applications, and an informal
community of things with notices". Thing Speak was
initially propelled by ioBridge in 2010 as an
administration in help of IoT applications. Thing
Speak has coordinated help from the numerical
registering programming MATLAB from Math
Works, permitting ThingSpeak clients to investigate
and envision transferred information utilizing Matlab
without requiring the buy of a Matlab permit from
Math works.
5.1 Procedure for creating a Channel in
ThingSpeak
1. Sign In to ThingSpeak™ using your Math Works®
Account, or create a new Math Worksaccount.
2. Click Channels>My Channels.
3. On the Channels page, click New Channel.
4. Check the boxes next to Fields 1–3. Enter these
channel setting values:
Name: Flood flow rate
Field 1: L/m
Field 2:
Field 3:
5. Click Save Channel at the bottom of the settings.
You now see these tabs:
6. Private View: This tab displays information about
your channel that only you can see.
7. Public View: If you choose to make your channel
publicly available, use this tab to display selected
fields and channel visualizations.
8. Channel Settings: This tab shows all the channel
options you set at creation. You can edit, clear, or
delete the channel from this tab.
9. Sharing: This tab shows channel sharing options.
You can set a channel as private, shared with
everyone (public), or shared with specific users.
10. API Keys: This tab displays your channel API
keys. Use the keys to read from and write to your
channel.
11. Data Import/Export: This tab enables you to
import and export channel data.
Next Steps Your channel is available for future use
by clicking Channels>My Channels.
For further details authors are advised to refer
mathworks website [13]
The program in Python for communication sensor
data from Raspberry pi with the ThinSpeak are given
in Appendix. Circuit diagram of the flood alerting
system drawn using fritzing software is shown in
figure 6 Flowchart shown in figure 7 represents the
working of Flood monitoring and alerting system
Prototype setup of Flood alerting system is shown in
fig.8
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Fig.6 Circuit diagram of the flood alerting system
drawn using Fritzing software
Fig.7 Flowchart -working of flood alerting system.
Fig.8 Prototype model of Flood Alerting System
The above figure shows the prototype model to
measure flood level and flow rate.
.
6.RESULTS
This online flood alerting system using Raspberry
Pi4 Model B is very useful for government
authoriries and general public in different aspects..
Our system is designed to measure the flood level
and flood speed and the concerned authority can
access the information from anywhere and anytime to
get the details of the situation accordingly they can
take the decision on this immediately.
After the task of interfacing the sensors with
raspberry pi and using appropriate python coding the
results were obtained .Then the remote
correspondence between raspberry pi and
Thingspeak web server are successfully achieved.
From the present project work , the following can be
obtained
• Water level in the river.
• Flood flow rate
• Transmit the information to the cloud.
• Accessing of data at any time from any
where in the world.
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• A real time data transmission and accessing
system,
The screen shot of Flow rate measurements and
timestamps which are printed out to the console for
every 5 seconds in shown in Fig. 9
Timestamp:2019-05-2022:00:41.267727
Flow rate: :25.06000
Timestamp:2019-05-2022:00:46.278729
Flow rate: :25.20000
Timestamp:2019-05-2022:00:51.283864
Flow rate: :25.208200
Figure 9 Screenshot of Flow rate measurements.
Figure 10 Flood flow rate measured on Thingspeak
Windows IOT-Platform) (a) Numerical Data (b)
Graphical Data
Figure 11: Thingsview Smart phone-IOT App:
(a) Water level data (b) Flood flow rate data
7. CONCLUSION
This project deals about the monitoring of flood
speed and flood level remotely from anywhere in the
world using internet through a personal computer or
Smartphone and alert the general public. In this
project raw data loaded in the cloud can be visualized
in graphical format with in a very short span of time
at a remote desk/ mobile app.
We have used Raspberry pi and MALAB’s
Thingspeak IOT platform along with the sensors for
the first time to monitor and alert flood situation. In
this system, sensors work with low input power
and detects the flood level in the river with a high
accuracy. It can detect even an inch raise of water
level and give alert. We have tested this system by
real time for water flow rate and water level
measurement successfully. If the water level
increases along with increase of flood flow speed , it
will send an alert immediately.
The project can be scaled up to a larger
implementation with more channels for
visualization by using other IOT platforms like
Amazon-AWS , Google -Cloud IoT and Microsoft
Azure.
REFERENCES
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1. A. Al-Fuqaha, M. Guizani, M. Mohammadi, M.
Aledhari, and M. Ayyash, “Internet of things: A
survey on enabling technologies, protocols, and
applications,” IEEE Communications Surveys
Tutorials, vol. 17, no. 4, pp. 2347–2376,
Fourthquarter 2015.
2.S. W. Lo, J. H. Wu, F. P. Lin, and C. H. Hsu,
“Cyber surveillance for flood disasters,” Sensors
(Switzerland), 2015.
3.S. Azid, B. Sharma, K. Raghuwaiya, A. Chand, S.
Prasad, and A. Jacquier, “SMS based flood
monitoring and early warning system,” ARPN
Journal of Engineering and Applied Sciences, 2015.
4.S. J. Priya, S. Akshaya, E. Aruna, J. A. M. Julie,
and V. Ranjani, “Flood
monitoring and alerting system,” International
Journal of Computer Engineering & Technology
(IJCET), vol. 8, no. 2, p. 15, Mar 2017.
5. D. Satria, S. Yana, R. Munadi, and S. Syahreza,
“Prototype of google maps-based flood monitoring
system using arduino and gsm module,” International
Research Journal of Engineering and Technology
(IRJET), vol. 4, no. 10, Oct 2017.
6. SimonMonk ,Raspberry Pi Cookbook, published
by O'Reilly, 2014
7. Raspberry Pi: Making Amazing Projects Right
from Scratch! by Packt Publishing (2016)
8.https://www.maxbotix.com/documents/HRLV-
MaxSonar-EZ_Datasheet.pdf
9.http://www.maxbotix.com/Raspberry-Pi-with-
Ultrasonic-Sensors-144/ .
10.https://files.amperka.ru/store-media/products/
water-flow-sensor/media/ YF-S201.pdf
11. https://www.raspberrypi.org/downloads/
12.http://www.straightrunning.com/XmingNotes/pix
ming.php
13.https://in.mathworks.com/help/thingspeak/collect-
data-in-a-new-channel.html
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Annexure I
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Annexure II