Design Of An Indoor Environment And Energy Consumption Monitoring System

Indoor environment and energy consumption monitoring are of great significance to improve people’s health,work efficiency and energy conservation.At present,the indoor environmental monitoring systems mainly collect,store and display real-time indoor temperature,humidity,air pressure and air quality.The indoor energy consumption monitoring system mainly collect,store and display the energy consumption of the room.The former is integrated into one system,so is the latter.Air conditioning energy consumption is subject to large fluctuations due to environmental factors.Traditional indoor energy consumption monitoring systems cannot accurately predict air conditioning energy consumption due to lack of environmental data.In this paper,an indoor environment and energy consumption monitoring system is designed.The system collects and utilizes indoor environment and energy consumption data through sensors.Based on the simulation data,an air conditioning energy consumption prediction algorithm is designed.Firstly,the demand analysis of indoor environment and energy consumption monitoring system is carried out.It is proposed to build a system platform at four levels.The sensing layer is responsible for the real-time collection of indoor and outdoor environment and energy consumption values.The network layer includes TPC/IP,HTTP and other telecommunication.The protocol layer includes the business logic processing function and data storage capability of the cloud.The application layer includes a web client and a WeChat applet client,and is responsible for interacting with the end user.This paper builds an indoor data acquisition hardware system and an outdoor data acquisition hardware system,aiming to realize the data collection of indoor environment and energy consumption The system collects the values of indoor and outdoor temperature and humidity,air pressure and energy consumption of the meter,and sends the data to the cloud server through the WiFi module.The hardware system lays a physical layer foundation for the perception of the whole system.Indoor air conditioning energy consumption accounts for a large proportion of total residential energy consumption.Using environmental factors to predict air conditioning energy consumption plays an important role in system operation and management.This paper simulates the room through a building comprehensive energy consumption simulation software DeST,and obtains the air conditioning energy consumption value under the whole working condition.Then,a method of fitting the experimental results by BP neural network is proposed,and a formula for predicting air conditioning energy consumption is obtained.The percentage error of the simulation results is [-1.688%,1.761%],which proves the validity of the equation and provides a theoretical basis for practical application.Through the analysis of software requirements,this paper adopts a B/S architecture development mode of MVVM front-end separation,and develops a back-end program and a client program of the software system respectively.This paper selects the Alibaba Cloud server to automatically deploy the project background,and combines Spring Boot and Hibernate and other Java frameworks for background development.The background program provides RESTful interface for client to access resources through URL.Then,through the Vue.js Web front-end framework and MINA WeChat applet framework,the client is designed and implemented for functional modules such as real-time data display module,historical data display module and room management module.