基于SOPC的实验室负荷智能监测装置

An Intelligent Monitoring Device for Laboratory Load Based on SOPC

高校实验室各种实验设备的正常工作离不开电力,对实验室用电设备进行智能化监测和管理十分重要。针对负荷智能监测问题,在非侵入式负荷监测的基础上,利用SOPC技术设计了一个实验室负荷智能监测装置,建立相应的算法模型。采用Matlab仿真算法模型时,能够对数据验证集达到100%识别;监测装置实际调试时,也能对实际工作中5种用电器的31种组合达到100%识别。测试结果表明,监测装置在各种组合情况下都能准确、实时地识别电网中工作的用电器,验证了监测装置在算法设计和硬件实现上的可行性。

Electricity is indispensable to support the normal work of laboratory equipment in colleges and universities.Intelligent monitoring and management of laboratory electrical equipment is very important. Aiming at the problem of intelligent load monitoring,based on non-intrusive load monitoring,a laboratory load intelligent monitoring device is designed by using SOPC technology,and the corresponding algorithm model is established. When using MATLAB simulation algorithm model,the algorithm model can recognize 100% of the data validation set,when the monitoring device is actually debugged,it can also recognize 100% of 31 combinations of 5 types of electrical appliances in actual work. The experimental and test results show that the monitoring device can accurately and real-time identify the electrical appliances working in the power grid under various combinations,which verifies the feasibility of the algorithm design and hardware implementation of the monitoring device.