Intelligent correction and early-warning application of COD on-line monitoring instrument based on neural network

According to the current situation of petrochemical wastewater treatment plant COD on-line monitoring, this paper established a water quality prediction model through the study of the neural network prediction technology. The model, by using GPRS wireless communication technology, can be used to correct the correction coefficient of on-line monitoring instrument timely and send warning information, thus ensuring the effective transfer of information. Intelligent correction helps to solve practical problems in the use of on-line monitoring instruments. The designed wastewater discharge forecasting warning system plays an important role in petrochemical company environmental emergency monitoring system.