| With the continuous development of society,the consumption of energy is increasing,especially the rapid growth of building energy consumption.Campus energy consumption accounts for about 8% of the total social energy consumption,which has a high potential for energy conservation and emission reduction.Therefore,many colleges and universities have introduced advanced energy consumption management and control systems and achieved good energy-saving effects.In the process of development and continuous upgrading of energy consumption management and control systems,the emerging Internet of Things technology and knowledge representation and knowledge reasoning methods provide new ideas for the design of energy consumption management and control Io T service platforms.In view of the campus power consumption management and control scenario,this paper designs an energy consumption management and control Io T service platform,and proposes a set of autonomous energy consumption management and control methods.The Io T service platform adopts the design pattern of separation of front and back ends.It consists of three parts: the platform client,the energy consumption management and control cloud platform,and the energy consumption management and control equipment.Clients include We Chat applet and web,which are responsible for the interaction between users and the platform.The energy management and control cloud platform is developed based on Nginx server,Spring Cloud framework and EMQ X middleware.Among them,the Nginx server mainly implements load balancing and security gateway,the Spring Cloud framework is responsible for building a user-oriented background server,and the EMQ X middleware is responsible for building a device-oriented long-term connection server.Energy consumption management and control equipment includes sensor equipment and management and control execution equipment.Sensor devices are mainly responsible for collecting environmental data.The control and execution equipment includes DDS228 single-phase rail energy meter and data transmission module Protoss-PW11.The smart meter is responsible for collecting energy consumption data of electric equipment and controlling the switch of the equipment.The data transmission module is mainly responsible for the information transmission between the equipment and the cloud platform.The Io T service platform mainly implements functional modules such as basic services,user services,equipment services,and autonomous control services.In order to realize the unified management of the equipment in the campus and enable the equipment to respond to the relevant energy-saving measures autonomously,this paper proposes a self-control method for energy consumption.The method firstly models entities such as equipment,context,and users,and then conducts knowledge inference based on energy-saving rules,and finally obtains control instructions for electrical equipment.Its autonomous control algorithm is implemented based on Answer set Programming（ASP）,and the specific process is that the sensor transmits the collected environmental data to the energy management and control Io T service platform,and the data is structured through the framework representation.Processing,according to the syntax specification of answer set programming,the extracted information is represented as answer set sentences,and added to the self-directed control module for solving.The solver realizes autonomous adjustment of the switching states of various devices in the environment according to environmental information and energy-saving rules,and completes the management and control of energy consumption.Finally,the online deployment and application of the energy consumption management and control platform is carried out.The results show that the energy consumption management and control Io T service platform designed in this paper has high scalability,availability and autonomy,achieves refined and autonomous energy saving,and has certain application value. |
