Iot based load management system
Continuous overload to a power system is a problem as it reduces the life span of the generators. Load management is very vital in optimizing the performance of generating plants by properly managing the generated energy. During peak demand times, the energy used by consumers are expensive compared
Project Title
Iot based load management system
Project Area of Specialization
Project Summary
| Continuous overload to a power system is a problem as it reduces the life span of the generators. Load management is very vital in optimizing the performance of generating plants by properly managing the generated energy. During peak demand times, the energy used by consumers are expensive compared to that used during off peak demand time; this is because utility companies need to engage bigger generators and other infrastructures in order to supply the demanded energy. To prevent the need for the procurement of bigger generators and other infrastructures needed to augment electrical power needed by consumers during peak demand time, an Internet of Things (IoT) based Electricity Load Management System is developed in this paper. The Arduino mega 2560 board and the Arduino WiFi Shield 101 are used in the controller and connectivity elements respectively, ACS712 module is employed in the sensory block to measure current; in order to determine the power being used by loads while Solid State Relays are used for actuation purposes. The entire blocks were integrated to form a functional system whose mode of operation is based on IoT technology that can be employed for effective management electrical energy. |
Continuous overload to a power system is a problem as it reduces the life span of the generators. Load management is very vital in optimizing the performance of generating plants by properly managing the generated energy. During peak demand times, the energy used by consumers are expensive compared to that used during off peak demand time; this is because utility companies need to engage bigger generators and other infrastructures in order to supply the demanded energy. To prevent the need for the procurement of bigger generators and other infrastructures needed to augment electrical power needed by consumers during peak demand time, an Internet of Things (IoT) based Electricity Load Management System is developed in this paper. The Arduino mega 2560 board and the Arduino WiFi Shield 101 are used in the controller and connectivity elements respectively, ACS712 module is employed in the sensory block to measure current; in order to determine the power being used by loads while Solid State Relays are used for actuation purposes. The entire blocks were integrated to form a functional system whose mode of operation is based on IoT technology that can be employed for effective management electrical energy.
Project Objectives
1) load management on IoT platform
2) Real time monitoring and controlling of load with energy system cost( means calculation of units on electric bills)
3) Over current protection mechanism
4)Switch the load management according to consumer demand
Project Implementation Method
| The project comprises of Controller, Current sensor, Relay module and Loads (Bulb). ACS712 current sensor measures the ampere of the Loads. The measured current (ampere) reading which we get from sensor will processed by controller. If the load current will greater than the threshold value then the system will automatically open the circuit path. The loads will control from IoT Mobile App.In this project, Blynk IoT App/Platform is used. |
The project comprises of Controller, Current sensor, Relay module and Loads (Bulb). ACS712 current sensor measures the ampere of the Loads. The measured current (ampere) reading which we get from sensor will processed by controller. If the load current will greater than the threshold value then the system will automatically open the circuit path. The loads will control from IoT Mobile App.In this project, Blynk IoT App/Platform is used.
Benefits of the Project
| Predict consumption and spending and plan accordingly Reduce energy spending Minimize carbon emission Better comply with regulations Automate processes Optimize asset maintenance |
Predict consumption and spending and plan accordingly
Reduce energy spending
Minimize carbon emission
Better comply with regulations
Automate processes
Optimize asset maintenance
Technical Details of Final Deliverable
| project will be deliver in hardware and software form.in final evaluation we will show that how we are controlling loads on iot platform.we will operate our project through iot platform blink. |
project will be deliver in hardware and software form.in final evaluation we will show that how we are controlling loads on iot platform.we will operate our project through iot platform blink.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| The project comprises of Controller, Current sensor, Relay module and Loads (Bulb). ACS712 current sensor measures the ampere of the Loads. The measured current (ampere) reading which we get from sensor will processed by controller. If the load current will greater than the threshold value then the system will automatically open the circuit path. The loads will control from IoT Mobile App.In this project, Blynk IoT App/Platform is used. |
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