Io t based real time air and sound
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This is our final year project. We are getting the accurate result of our project. So you can refer what do you want from this. We mainly implements the IoT concept here. So handling of data from anywhere in the world. Thank you...
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2. Training a multilayer perceptron neural network model on the historical data to understand relationships between pollutant levels and air quality index.
3. Using the trained model to predict future air quality index levels for a specific location based on new pollutant data, allowing predictions for next day, next month, or future years.
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The document proposes a CO2 monitoring system for public transportation that uses sensors to measure CO2 levels inside buses, sends the data to a cloud database via WiFi, and displays the bus location and CO2 level/health effects on an Android app to inform passengers of air quality before boarding. High CO2 levels from poor ventilation in crowded buses can cause health issues like drowsiness or headaches, so this system aims to improve passenger safety and awareness.
PoC for Air Quality models using machine learning for MWC 2018
A proof of concept study of applying tree based machine learning algorithms in air quality models for London and Taiwan
Weathercom - Automatic Weather Station
Weathercom is an Automatic Weather Station (AWS). It measures meteorological parameters such as wind speed & direction, rainfall, visibility, UV-radiation, light intensity, temperature, humidity, pressure, etc. Through Weathercom, hyper-local meteorological parameters can be monitored in real-time, which can help to take on-time decisions in case of any natural hazard. Weather forecasting and predictions are possible through historical data and trend analysis, which can aid in timely warning/alert broadcasting.
Advanced Rescue and Monitoring Robot for Coal Mine
1) The document describes the design of a rescue robot for use in coal mines. Coal mine environments can be dangerous due to toxic gases, high temperatures, fires, and structural collapses that threaten human lives during disasters.
2) The proposed rescue robot would be equipped with sensors to detect gases, temperatures, and transmit video to rescuers to assess conditions and locate trapped miners before entering. It aims to reduce loss of life by providing information to first responders.
3) The robot design incorporates a Raspberry Pi computer controlled remotely via an Android phone app. Sensors would transmit data on gas levels, heat, and other factors wirelessly to rescuers for safety planning in hazardous post-disaster zones
Carbon level detection of vehicle for preventing Air Pollution using IOT Sensors
The document describes a system for detecting carbon levels in vehicle emissions using IoT sensors to prevent air pollution. The system uses sensors to measure the levels of carbon monoxide, carbon dioxide, methane, and other gases released by vehicles. If the gas levels exceed thresholds, the vehicle will be locked and can only be unlocked by an authorized official after servicing. The system notifies users when gas levels are high to service their vehicle before it gets locked. It aims to control air pollution and its impacts on global warming and human health. The architecture uses sensors connected to an ESP8266 controller over Wi-Fi to an Android app and database for monitoring and control.
What's hot (20)
Air pollution monitoring system using mobile gprs sensors array
Air pollution monitoring system using mobile gprs sensors array
IRJET- IOT Based Air and Sound Pollution Monitoring System
IRJET- IOT Based Air and Sound Pollution Monitoring System
IOT Based Environmental Pollution Monitoring System
IOT Based Environmental Pollution Monitoring System
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...
IRJET- IoT based Air Pollution Monitoring System using Arduino
IRJET- IoT based Air Pollution Monitoring System using Arduino
IOT Air Pollution Monitoring System (Live Location)
IOT Air Pollution Monitoring System (Live Location)
IRJET- Web-Based Air and Noise Pollution Monitoring and Alerting Syetem
IRJET- Web-Based Air and Noise Pollution Monitoring and Alerting Syetem
4.automated control-system-for-air-pollution-detection-in-vehicles
4.automated control-system-for-air-pollution-detection-in-vehicles
Communication Methods to build Smart Home Monitoring System: A Survey
Communication Methods to build Smart Home Monitoring System: A Survey
IRJET- Air and Sound Pollution Monitoring System using IoT
IRJET- Air and Sound Pollution Monitoring System using IoT
IRJET - Study on Smart Air Pollution Monitoring System based on IoT
IRJET - Study on Smart Air Pollution Monitoring System based on IoT
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
PoC for Air Quality models using machine learning for MWC 2018
PoC for Air Quality models using machine learning for MWC 2018
Advanced Rescue and Monitoring Robot for Coal Mine
Advanced Rescue and Monitoring Robot for Coal Mine
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Carbon level detection of vehicle for preventing Air Pollution using IOT Sensors
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IRJET- IoT based Flow Analyzing and Alerting System
This document describes an IoT-based system for continuously measuring and analyzing water flow from a dam. The system uses flow sensors placed at multiple points along a river to measure flow rate, velocity, time taken, and distance covered. A Raspberry Pi processes the sensor data and stores it on the cloud. If the flow exceeds a threshold, an alert is sent. The system provides real-time water flow data and analysis in a tabular format to help monitor for flooding. It is a low-cost, efficient method for continuous water flow measurement and alerting.
SMART INDUSTRY MONITORING AND CONROLLING SYSTEM USING IOT
The document describes a smart industry monitoring and controlling system using IoT. It proposes a system that uses various sensors to monitor environmental conditions and safety hazards. The system sends SMS alerts and updates a web server in real time. Two tests were conducted to evaluate the functionality of the sensors and the reliability of the transmitting section by measuring SMS delivery times and updates to the web server. While the system was successful, further improvements are needed to account for network issues and service quality.
HOSTILE GAS MONITORING SYSTEM USING IoT
1. The document describes a hostile gas monitoring system using IoT that monitors air pollution levels. It uses sensors to detect pollutants like CO, NO2, O3, and particulate matter.
2. The system uses an Arduino board connected to gas sensors and a WiFi module to transmit sensor data to a cloud database on the ThingSpeak server. This allows for continuous remote monitoring of pollution levels and analysis of the data.
3. The system is intended to be deployed in any location to monitor indoor or outdoor air quality and identify highly polluted areas so remedial measures can be taken.
Final Report Content
The document describes an existing integrated refinery fire and gas monitoring system that uses wired connections between field devices and the control room. The existing system has limitations such as increased wiring complexity and costs as more sensors are added over time. This can make troubleshooting difficult. The proposed system aims to develop a wireless monitoring system using ZigBee technology to overcome these limitations and enhance safety. It will allow real-time monitoring of gas levels, location tracking of workers, and danger alarms to be sent wirelessly.
IRJET - IoT based Smart City and Air Quality Monitor
This document proposes an IoT-based system to monitor air quality, temperature, humidity, and barometric pressure using a single sensor and transmit the data to the cloud. An ARM cortex MCU collects data from the BME680 sensor and sends it via GPRS to the cloud, allowing users to view measurements on computers and mobile devices. The system is designed to be low-cost, low-power, and portable for both indoor and outdoor monitoring of environmental conditions and air quality in cities.
IRJET- Trash Clearance Management System
This document summarizes a research paper on a proposed trash clearance management system that uses various sensors and wireless communication to efficiently manage waste collection. The system aims to make cities greener, safer and more cost effective. Multiple dustbins around cities would be connected through a network and equipped with ultrasonic sensors to detect fill levels, as well as rain, gas and other sensors. When trash reaches a threshold, the system alerts local authorities so that waste can be promptly collected. This is intended to improve waste segregation and management while reducing environmental issues and costs compared to traditional landfill methods.
IOT Based Air & Sound Pollution Monitoring system using Raspberry pi
This document describes an IOT-based air and sound pollution monitoring system using a Raspberry Pi. The system collects data from gas sensors, a sound sensor, and a temperature sensor about air quality and noise levels. The Raspberry Pi processes this sensor data and sends it over WiFi to the cloud for storage and remote access via mobile devices. The data is also displayed locally on an LCD screen and alarms sound if pollution/noise thresholds are exceeded. The system provides real-time environmental monitoring and aims to increase awareness about air and noise pollution levels.
DESIGN AND DEVELOPMENT OF SOLAR POWERED AIR POLLUTION AND ENVIRONMENTAL MONIT...
This document describes a solar-powered air pollution and environmental monitoring system for smart cities. The system uses sensors to measure temperature, humidity, light intensity, particulate matter size, and gas parameters. The sensor data is collected and stored in the cloud using MQTT (Message Queuing Telemetry Transport) protocol. The data is then made available on a website. The system aims to accurately monitor climate conditions and pollution levels in a given area using an economically flexible solar-powered design with low maintenance costs.
IRJET- GIS using Zigbee
This document describes a proposed balloon-borne system using Zigbee technology for disaster relief operations. The system would use high-altitude balloons equipped with Zigbee, GPS, humidity and water level sensors, a camera, and an APR voice module. The balloons would form an aerial wireless network to monitor conditions like water levels, humidity, and the number of people in an area affected by a disaster. The data collected by the sensors would be transmitted via Zigbee between balloons and to rescuers on the ground to provide situational awareness and help coordinate relief efforts. This system aims to improve response times and resolve issues that emerge during disasters.
MOHAMMED OVAIZ_Resume -Industry
A. Mohammed Ovaiz is seeking a career in the power industry where he can learn about emerging technologies and take on challenging roles. He has 6 years of teaching experience and 3 years of experience in power sector operations and maintenance. He holds an M.E. in Power Electronics and Drives with high marks and a B.E. in Electrical and Electronics Engineering also with high marks. He has expertise in various power-related fields and has published papers in international journals and conferences.
IRJET- Household IOT based Air Pollution Controlling and Monitoring System us...
This document describes a household air pollution controlling and monitoring system using Arduino. The system uses sensors to identify greenhouse gases and measure radiation from pollutants. An Arduino board with a SIM800L GPRS GSM module sends sensor readings to a server via MEAN stack. If gas levels exceed thresholds, the system triggers an oxidizing agent and sends an alert. The recorded data is analyzed to check gas levels every 5 minutes and balance atmospheric conditions. The system combines IoT and time series analysis to monitor pollution and control it before it becomes hazardous.
Gas Leakage Detection Using IoT
This document presents a system for detecting gas leaks using IoT technology and alerting people. The system uses sensors to detect LPG gas leaks from cylinders. If a leak is detected, it will send SMS alerts and also automatically turn off the gas supply and knob to reduce risks. It consists of sensors connected to a microcontroller and ESP8266 WiFi module to transmit sensor data and alerts over the internet. The system aims to improve safety by providing faster detection and notification of gas leaks compared to manual methods. It will detect leaks, continuously monitor gas levels, display them on a mobile app, and send SMS alerts to authorities if a leak is reported.
Air Pollution Prediction using Machine Learning
This document discusses using machine learning algorithms to predict air pollution levels. Sensors are used to collect data on air quality, smoke and dust levels. This data is fed into a KNN machine learning model for training and testing. The KNN model achieved 99.1% accuracy in predicting air quality levels based on the Air Quality Index. Machine learning is effective for analyzing large environmental datasets and making accurate pollution predictions to help monitor air quality and reduce health issues from air pollution.
Wide Area Monitoring, Protection and Control (WAMPAC) Application in Transmis...
This document provides a literature review on the application of Wide Area Monitoring, Protection and Control (WAMPAC) in transmission grids. It discusses technologies used in WAMPAC systems such as Phasor Measurement Units (PMUs), Flexible AC Transmission Systems (FACTS) devices, and Phase Shifting Transformers (PSTs). The literature review covers past research on optimal placement of PMUs and FACTS devices in transmission networks to maximize observability and control. It also examines the use of WAMPAC technologies to monitor system oscillations and stability. The review provides background information for a proposed project to model and simulate the application of WAMPAC technologies in a transmission grid.
Phasor measurement unit and it's application ppt
The effective operation of power systems in the present and the future depends to a large extent on how well the emerging challenges are met today. Power systems continue to be stressed as they are operated in many instances at or near their full capacities. In order to keep power systems operating in secure and economic conditions, it is necessary to further improve power system protection and control system. Phasor measurement unit (PMUs), introduced into power system as a useful tool for monitoring the performance of power system, has been proved its value in the extensive applications of electric power system. In response, a research program that is specifically aimed at using PMU to improve the power system protection and control. To ensure that the proposed research program is responsive to particular industry needs in this area, and participants of the workshop identified two major research areas in which technological and institutional solutions are needed: 1) PMU implementation, 2) PMU applications. It’s recommends research, design, and development (RD&D) projects in this report. The objective of these projects is to improve the reliability of local and wide transmission grid by enabling and enhancing the system protection and control schemes by using PMU measurement data, reduce the economic burden of utilizes to implement PMUs.
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The document describes a proposed system to improve safety and air quality in mining industries using IoT-enabled monitoring and air purification solutions. The key aspects of the proposed system include:
1) Real-time monitoring of air quality, toxicity levels, and workers' vital signs like pulse and blood oxygen levels using sensors, an ESP32 board, and Blynk software.
2) Purification of air with 99% efficiency using filters to remove impurities and pollutants.
3) Maintaining effective communication between workers and base station and sending emergency alerts with worker location if triggered.
4) The system is expected to significantly improve safety in mining industries by utilizing cutting-edge technologies like IoT for
IRJET- AI to Analyze and Extract Data to Gain Insights About the Spread o...
This document describes a system that uses sensors and machine learning to analyze air quality and predict pollution levels. The system collects data from sensors that measure gases like carbon monoxide and nitrogen dioxide. This data is processed using machine learning algorithms to analyze current pollution levels and predict future levels over the next 24 hours. The system aims to provide reliable air quality information to help governments and organizations address pollution issues. It offers a low-cost and mobile alternative to existing stationary sensor systems.
A Survey on Ultrasound Beamforming Strategies
This document summarizes different strategies for ultrasound beamforming. Beamforming is the crucial step in ultrasound imaging where sound waves are focused on a specific point or area. The strategies are different in aspects like the type of signals used, imaging region size, time and computational costs. Several strategies are discussed including plane wave beamforming using the Fourier transform, software-based beamforming using data compression techniques, and FPGA-based modular digital beamforming. Beamforming strategies also differ in image resolution, information loss, and ability to reduce clutter from unwanted signals. Strict timing architectures can guarantee timing coherence for applications like ultrasound beamforming.
Pulse Rate Monitoring Using Image Processing
This paper presents a real-time heart rate monitoring system using video from a webcam. It extracts the heart rate from variations in facial skin color caused by blood circulation. Three signal processing methods - Fast Fourier Transform, Independent Component Analysis, and Principal Component Analysis - are applied to color channels in the video to extract the blood volume pulse. The extracted heart rate is then compared to a reference rate. Results show there is a high degree of agreement between the proposed method and the reference readings, indicating this non-contact technique has potential for use in personal healthcare and telemedicine applications.
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
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detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
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dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
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一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
原版一模一样【微信：741003700 】【(uofo毕业证书)美国俄勒冈大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(爱大毕业证书)爱荷华大学毕业证如何办理
原版一模一样【微信：741003700 】【(爱大毕业证书)爱荷华大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Data Driven Maintenance | UReason Webinar
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
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Io t based real time air and sound
- 1. IOT BASED REAL TIME AIR AND SOUND POLLUTION MONITORING AND CONTROLLING SYSTEM (UNDER: HEWLETT PACKARD ENTERPRISE, CHENNAI) GUIDED BY, Dr.A.PURUSHOTHMAN M.E., Ph.D., PRESENTED BY, JAGADESH.R - 713614106011 KRISHNARAM.N.K.V - 713614106018 PRABHAKARAN.D - 713614106305 SREE SAKTHI ENGINEERING COLLEGE, KARAMADAI. DEPARTMENT OF ELECTRONICS AND COMMUNICATION. 3/13/2018
- 2. CONTENTS: ABSTRACT OBJECTIVE INTRODUCTION LITERATURE REVIEWS EXISTING METHODOLOGY PROBLEM STATEMENT PROPOSED METHODOLOGY ADVANTAGES EXPERIMENTAL SETUP METHODOLOGY RESULTS CONCLUSION AND FUTURE WORK REFERENCES 1 3/13/2018
- 3. ABSTRACT : AIR AND SOUND POLLUTION IS A GROWING ISSUE THESE DAYS. IT IS NECESSARY TO MONITOR AIR AND SOUND QUALITY AND KEEP IT UNDER CONTROL FOR A BETTER FUTURE AND HEALTHY LIVING FOR ALL. TO OVERCOME THIS ISSUE, WE ARE INTRODUCING A SYSTEM. 2 3/13/2018
- 4. OBJECTIVE : THE INTENTION OF THIS PROJECT IS TO MEASURING THE HARMFUL GASES PRESENT IN THE AIR AND ALSO SOUND LEVEL. THESE DATA'S ARE PUSHED IN TO ONLINE SERVER OVER IOT. THE MAIN IDEA IS TO REDUCE THE COST AND CONTROL THE POLLUTION. 3 3/13/2018
- 5. INTRODUCTION : EVERY ORGANIZATION IS IN THE SEARCH FOR CUTTING EDGE TECHNOLOGIES TO PROVIDE SERVICE ORIENTED PROJECTS TO OUR SOCIETY. IOT OFFERS CONVENIENCE AND EASIER DATA ACCESSIBILITY. OUR PROPOSED SYSTEM WILL DEFINITELY HELPFUL TO OUR SOCIETY. 4 3/13/2018
- 6. LITERATURE REVIEWS: AUTHOR TOPIC METHODOLOGY APPLICATION DRAWBACK Anjaiah Guthi (July- 2016) Noise and Air pollution monitoring using IoT. Sending the sensor values to the cloud. Update the status of pollution. There is no preventive action had taken. Palaghat Yaswanth Sai (Mar- 2017) IoT based automated air and noise pollution monitoring Sending the data’s to the web-server through the Wi-Fi module. Update the status and alert the people. Network range is very low. Somansh Kumar (Nov- 2017) Air quality monitoring system using Raspberry- pi. Sending the data’s to the cloud using Raspberry pi. Monitoring the pollutants level and alerts the authorities. Polluted areas location is not available. 5 3/13/2018
- 8. DRAWBACKS OF EXISTING METHOD : CONCERNED AUTHORITY ONLY GETTING INFORMATION. POLLUTED AREAS LOCATION IS NOT AVAILABLE. THERE IS NO PREVENTIVE ACTION HAD TAKEN. VERY LOW RANGE OF CONNECTIVITY. 7 3/13/2018
- 11. HARDWARE SPECIFICATIONS : GAS (MQ-135) AND (MQ-3) SENSORS . SOUND SENSOR(KY-038) . ARDUINO UNO ATMEGA 328 CONTROLLER . MDM-9206 IOT MODULE . GPS MODULE . LCD DISPLAY. LED’S . BUZZER . COOLING FAN (SIMPLE DC MOTOR). POWER SUPPLY UNIT (5V) . SOFTWARE SPECIFICATIONS : ARDUINO IDE COMPILER . C PROGRAMMING LANGUAGE . GO-DADDY DEDICATED SERVER . PROTEOUS 7.0 10 3/13/2018
- 12. WHY ARDUINO UNO ? CLOCK SPEED - 16 MHZ. FLASH MEMORY - 32 KB. SRAM - 2 KB. USB CONNECTION FACILITIES. DC CURRENT PER I/O PIN – 40 mA. 11 3/13/2018
- 13. MDM-9206 IOT MODULE: IT IS DESIGNED AS A GLOBAL MULTI-MODE CONNECTIVITY SOLUTION. IT PROVIDE RELIABLE AND OPTIMIZED CELLULAR CONNECTIVITY FOR IOT PRODUCTS. IT IS HELPING TO MAXIMIZE IOT PRODUCTS TO GLOBAL REACH AND SCALABILITY. 12 3/13/2018
- 14. ADVANTAGES : Highly accurate system for monitoring purpose. Low cost and low power consumption. It is eco friendly. Very high range and multi-mode connectivity. 13 3/13/2018
- 19. RESULTS IN MORNING TIME: RESULTS IN EVENING TIME: SENSORS MEASURED VALUE EXPECTED VALUE CO (ppm) 105 110 CO2 (ppm) 180 250 Temperature (Degree Celsius) 25 19 Sound (decibels) 107 130 SENSORS MEASURED VALUE EXPECTED VALUE CO (ppm) 89 80 CO2 (ppm) 134 200 Temperature (Degree Celsius) 30 25 Sound (decibels) 113 120 18 3/13/2018
- 20. WEB PAGE RESULT: URL LINK: HTTP://IOTCLOUDDATA.COM/DEMO/LOCATIONVIEW.PHP 19 3/13/2018
- 21. CONCLUSION: Thus the real time air and noise pollution levels are monitored and some controlling actions are taken through IoT. Our proposed system provides low cost, highly accurate and long range of connectivity. This will definitely create a great impact to our society. 20 3/13/2018
- 22. FUTURE WORK: Certain relationship between the air pollutants can be found. Sensors can be more calibrated against a range of temperature and humidity. Self – Calibration techniques can be implemented in future. 21 3/13/2018
- 23. REFERENCES: [1]. Daniel D.Chiras, “Environmental Science”. 19 th Chapter, 2017(Eighth Edition). [2]. Rinkesh, "Causes, effects and solutions of air pollution – conserve energy future," in Pollution, Conserve-Energy-Future, 2017. [Online]. Available: http://www.conserve-energyfuture/ causes- effects-solutions-of-air-pollution.php. Accessed: Dec 20, 2017. [3]. Rinkesh, "Causes, effects and solutions of noise pollution – conserve energy future," in Pollution, Conserve-Energy-Future, 2017. [Online]. Available: http://www.conserve-energyfuture/ causes- effects-solutions-of-noise-pollution.php. Accessed: Dec 25, 2017. [4]. Muhammad Aqib, “Working and Interfacing of sensors”, 2016. [Online]. Available: https://circuitdigest.com/ MQ-135 and LM393 sensor Interfacing. [5]. Somansh Kumar, Ashish Jasuja, “IOT BASED AIR POLLUTION MONITORING SYSTEM USING RASPBERRY PI”. International Conference on Computing, Communication and Automation (ICCCA2017). Dec 2017. [Online]. Available: ISBN:978-1-5090-6471-2017 IEEE 22 3/13/2018
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