| With the development of science and technology and the increasingly large school dormitory,all kinds of electrical appliances have been installed in the school dormitory.On the one hand,it not only brings convenience,but also some security risks.Overload,short circuit and other electrical accidents appear from time to time.On the other hand,with the increase of the scale of the school,meter reading,electricity bill settlement and electricity control need to be more convenient and faster.However,there are some disadvantages in the current electricity management system in the dormitory,such as low security and intelligence degree,low accuracy of malignant load identification and so on.Recently,the policy of enrollment expansion of higher vocational schools has been released.There is no doubt that the increase of students and dormitories has higher requirements for the security and intelligence of electricity system in the dormitory.In this paper,a set of intelligent electricity management system with high security in the dormitory is developed.The main work is as follows:(1)A software-defined electricity management system networking architecture in the dormitory is proposed.In this system,the software-defined approach is applied to build the electricity management system network architecture in the dormitory.The architecture is divided into big data cloud processing layer,intelligent control layer and execution layer.Through the service model oriented to individual behavior analysis and group behavior analysis,the big data cloud processing layer improves the ability of intelligent service and provides support for the optimization of intelligent electricity management.In the intelligent control layer,the edge calculation strategy is adopted to issue relevant control instructions for data storage,calculation and analysis.In the execution layer,a multi-functional intelligent electricity meter is used to collect,calculate and control electricity data and to centralize the management of electricity consumption in the dormitory.(2)An intelligent identification method of malignant load is proposed.Firstly,the dynamic balance method of equivalent power is used to judge whether the connected electrical appliances are malignant load.Then,the phase angles of voltage and current in the circuit and their odd harmonic values are used to build the eigenmatrix and history matrix.The type of load is identified by comparing their similarity.The complex mixed load can be identified by extracting the transient and steady characteristic data and the power factor measurement data as well as the similarity of database reference quantity after the electrical appliances are connected.Finally,by increasing the sampling frequency and setting reasonable parameters for identification optimization,the identification accuracy of malignant load is further improved.(3)In the original power supply loop control box of the dormitory,the safety electricity monitoring instrument is installed on the total line.At the same time,the expandable module is designed,and the function modules such as temperature detection and light control are selected according to the needs to realize the dynamic and real-time monitoring of power consumption and ensure the safety of power consumption.(4)Through the design and implementation of the actual project,the site scheme with high reference value is provided.From the network topology of the system to all kinds of equipment installation and wiring design,a perfect site engineering scheme has been formed,which provides practical reference for other units.Through practical application and test,it shows that the electricity management system in the dormitory has rich functions and high intelligence.Compared with the traditional identification methods,it is more accurate to identify the malignant load and effective for electrical fire warning.It can effectively prevent all kinds of illegal use of electricity in student dormitory and greatly improve the safety of electricity in the dormitory. |
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