Research And Design Of Laboratory Power Management System Based On Internet Of Things

With the increasing funding of the State in university laboratories,the number and scale of laboratories in China are growing rapidly.But at the same time,it also causes a series of problems,including excessive electric energy waste,frequent safety accidents and workload increasing.Therefore,the traditional power management system of laboratory could be unable to meet the current demand of laboratory power management due to the limitation of funds,technology and other factors.Based on the analysis of the current laboratory power management system at home and abroad,the thesis firstly designed a laboratory power management system based on Internet of Things module BC28 through analyzing and demonstrating common power management system according to the functional requirements.Secondly,the energy consumption prediction and safety warning was realized by BP neural network based on the statistics of the laboratory load.Then the thesis designed hardware for each module,including minimum system of STM32L,electricity parameter and environmental parameter acquisition,DC-DC transform,multi-channel DC power sequencing,wireless communication circuit and relay module,in which the collection of a variety of electrical parameters was achieved by high precision metering chip ATT7053AU and LTC2945,the precisely control of sequence and time interval was achieved via LTC2937,the effect of power saving was achieved by sorting multi-channel power through programmble program,and the problems of close communication distance and high operating power consumption was solved through Internet of Things module BC28 communication module based on NB-IoT technology,the data interaction between terminal and background was completed,the remote monitoring of laboratory power by managers was also finally realized.Thirdly,the subject designed the microcontroller and lab View-based upper computer software.Finally,a power management system platform was built in the laboratory to test its functions.The test results show that all functions of the system are workable,the remote monitoring of the electrical energy parameters of the experimental equipment and laboratory environment parameters and the timing control function of the laboratory power supply are successfully achieved.The energy consumption prediction and safety warning in the lab are completed through BP neural network.