This study presents the simulation and software design of a Smart Home Energy Monitoring and Management System. That allows real time locations and also remote control of the household appliances by mobile communication. The suggested system incorporates the necessary functionalities. It has the virtual load control, monitoring of environmental conditions, notifications on security and user-configured automation settings. The study was entirely constructed and experimented in a simulation environment by means of tools. The sys-tem includes such, as the Proteus and Arduino IDE, the model of a number of sensors, such as DHT11 (temperature and humidity), ultra-sonic (water level), PIR (motion), and current sensors (as part of a virtual energy consumption measurement). GSM module simulation permits the event alerting via the use of messages. The reasoning behind the software endorses the local and remote access gateways. Simulating a model of saving energy such as programmed load disconnection when there is peak consumption. The simulation environment evaluation indicated successful alert generation, response on time (less than 1.3 s). And switching latency of about 170 ms. A simple rule-of-thumb load shedding system showed 8.6% emulated energy saving. This paper provides a low cost and scalable simulation model of smart energy management. It is establishing a robust base to AI-implementation in the future.

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Design and Implementation of a Smart Home Energy Monitoring and Management System with Future AI Integration

  • Imtiez Ahmed Prince,
  • Dipta Paul,
  • Md Nadim Rahman Sarker,
  • Md Sayeem Khandakar,
  • Abu Mohammed Siyed,
  • Imran Miah,
  • Md Imran Hossen Rony

摘要

This study presents the simulation and software design of a Smart Home Energy Monitoring and Management System. That allows real time locations and also remote control of the household appliances by mobile communication. The suggested system incorporates the necessary functionalities. It has the virtual load control, monitoring of environmental conditions, notifications on security and user-configured automation settings. The study was entirely constructed and experimented in a simulation environment by means of tools. The sys-tem includes such, as the Proteus and Arduino IDE, the model of a number of sensors, such as DHT11 (temperature and humidity), ultra-sonic (water level), PIR (motion), and current sensors (as part of a virtual energy consumption measurement). GSM module simulation permits the event alerting via the use of messages. The reasoning behind the software endorses the local and remote access gateways. Simulating a model of saving energy such as programmed load disconnection when there is peak consumption. The simulation environment evaluation indicated successful alert generation, response on time (less than 1.3 s). And switching latency of about 170 ms. A simple rule-of-thumb load shedding system showed 8.6% emulated energy saving. This paper provides a low cost and scalable simulation model of smart energy management. It is establishing a robust base to AI-implementation in the future.