IOT seminar.pptx
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An IoT enabled automatic aquaponics system is presented. The system uses sensors to continuously monitor pH, temperature, and turbidity in the water. This data is collected by a microcontroller and stored in the cloud. The system can then be monitored and controlled both offline using a mobile application, and online through the cloud. This automation allows the aquaponics system to operate independently with minimal human intervention, making it suitable for use in residential settings like terraces.
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Paper URL: https://www.ijtsrd.com/engineering/information-technology/23655/implementation-of-internet-of-things-for-water-quality-monitoring/priya-s-bhagat
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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
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IOT seminar.pptx
- 1. SANSKRITHI SCHOOL OF ENGINEERING PUTTAPURTHI DEPARTMENT OF ECE IoT ENABLED AUTOMATIC AQUAPONICS SYSTEM PRESENTED BY: Y.KARTHIK REDDY
- 2. Introduction Aquaponics refers to the combination of any conventional aquaculture system with hydroponics in a single symbiotic environment. In this system, ammonia rich fish wastes from the aquaculture tanks are pumped to the hydroponic beds. These fish wastes are converted into organic fertilizers needed for growing plants. In return, the plant roots filters and treats the water for habitation of the fishes, which is then recycled back into the aquaculture tanks Automation of the system using IoT aims at making it a standalone device. Sensor unit interfaced with microcontroller continuously monitors essential parameters . Data collected is stored into cloud and control can be done both offline and online. is then recycled back into the aquaculture tanks
- 3. OBJECTIVES To monitor the system using mobile phone application and thereby reducing the barricade of human involvement in feeding ,filtering and air pumping in domesticated fishery system. To make this system a standalone device, by controlling entities such as motor pump, valves and feeder. To continuously monitor pH, temperature and turbidity of water using mobile phone and to ensure stable habitat of fish life and plants.
- 5. Setting up of Program control system BLOCK DIAGRAM Desired water level Desired temperature Desired pH Desired turbidity Desired amount of food Microcontroller Water pump Aerator Feeder Automatic valves Win module Node MCU Offline communication Online communication Grow bed Online monitorin g and control Offline monitoring and control using mobile application Towards cloud
- 6. HARDWARE COMPONENTS pH Sensor Tolerable pH range is between 6-7. Excretions by fish causes fluctuations in pH, normally water turns basic in nature. To counterbalance, required amount of water is drained from the fish tank and fresh water enters from the main tank. Turbidity Sensor The turbidity of water in the fish tank increases due to fish waste depending on its size and composition. Turbidity sensor monitors the degree of turbidity.
- 7. CONSTRUCTION Temperature Sensor The desired temperature for stable aquatic life ranges from 20 to 30 degree celcius. The sensor continuously acquires temperature values and whenever it goes beyond the range , water drains from the fish tank and freshwater enters from the main tank so as to nullify the effective temperature change. Turbidity sensor Temperature sensor
- 8. Magnetic float switches It consists of two logic states; logic zero and logic one. When water level is higher than preset value its logic one else its logic zero. Motors The system consists of a motor pump, aerator pump and valves. All can be driven from the 12v line of solar panel installed. Fish Feeder Fish feeder consists of a gear motor and a funnel for uniform distribution. Quantity of food and number of times of distribution can be preset.
- 9. There are two modes of monitoring ;online and offline . A NodeMCU is used for online monitoring. WiFi module in it connects to a database through which sensor controlling takes place. In offline monitoring a hotspot is created through the WiFi module and through this hotspot the system is connected and controlled.This can be easily monitored using the android application created. Online and offline Communication Node MCU
- 10. Automation of aquaponics system can be effectively done using IoT. The system enables complete control and analysis using mobile application achieving all the standards of a standalone device. Data collected via sensors and stored in cloud database and monitored and controlled by microcontroller makes the system an efficient one. Aquaponics system being a source of balanced food production system which requires very less space and very less human efforts can be implemented in the terrace of houses. It is less time consuming and attention seeking. The only action required is to monitor using mobile phone. • Hence automating this system has a great potential to evolve as a game changer. conclusion