The design is a multi-branch power parameter monitoring system based on Lora Network. The system adopts the IM2812B power acquisition module to collect the branch power parameters, the data transmission mainly adopts the Lora and WiFi wireless communication technology as the transmission media, and the transmission protocol is based on the Lora private protocol and the MQTT transmission protocol. The power parameters and environment data of each branch are displayed on the serial port PC and APP through Lora Network, and can analyze the current branch of the electrical appliances and predict the existence of the security risk, make up the existing defects. It is not only to solve the remote monitoring problem, but also to solve the problem of wireless network multi-branch. The system supports the power parameter acquisition with 65,536 branches, and it can greatly reduce the data transmission delay by using the star network and FIFO. After testing, the system's data transmission delay is low and stable. It is easy to layout, and with low maintenance difficulties, it has positive significance for the power parameter monitoring system.
Water pollution is still an urgent problem to be solved in China, and graphene photocatalytic materials have become a means of water pollution control because of its environmental protection and efficient degradation of pollutants in water. In this study, three kinds of graphene photocatalytic net were selected as experimental materials, and they were easy found on the market, selection of rural domestic wastewater as the experimental water. The experiment lasted for 11 days. The experimental results show that the black graphene photocatalytic net has the highest removal rate of COD, NH3-N and TP in wastewater, which can reach 77.4 %, 97.2 % and 91.2 %, respectively. At the end of the experiment, the water quality can rearch the secondary discharge standard of 'Discharge Standard of Pollutants for Municipal Wastewater Treatment Plant ' (GB18918-2002). The three materials have obvious improvement effect on DO in water, which are up to 54.9(black), 48.7(white) and 45.3 times (nano), respectively. This provides a new idea for sewage treatment.
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