Real-time effluent total-phosphorus monitoring system based on peak radial basis function neural network
A technology based on neural network and effluent total phosphorus, applied in biological neural network models, general water supply saving, special data processing applications, etc. Issues such as emission standards
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[0088] 1. The specific implementation of the design of the sewage treatment intelligent monitoring system
[0089] Through the laboratory test platform and the actual sewage treatment plant to build a satisfactory hardware platform, design a configuration monitoring system, and transmit the data in the monitoring system to the neural network intelligent detection module running in the background MATLAB through OPC technology to realize data communication. The specific implementation steps are as follows:
[0090] OPC data communication based on group objects:
[0091] First, select the monitoring configuration software as the OPC server, set the server name Luchao-Lenovo, 9 group objects and project names,
[0092] Second, in MATALB, locate the OPC server used. Create an OPC data access object and be able to connect to the server. The object parameters are temperature T, anaerobic terminal oxidation-reduction potential ORP, aerobic dissolved oxygen DO, aerobic terminal total...
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