Study on algorithm of process neural network for soft sensing in sewage disposal system

Zaiwen Liu; Hong Xue; Xiaoyi Wang; Bin Yang; Siying Lu

doi:10.1117/12.718037

30 October 2006 Study on algorithm of process neural network for soft sensing in sewage disposal system

Zaiwen Liu, Hong Xue, Xiaoyi Wang, Bin Yang, Siying Lu

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63582D (2006) https://doi.org/10.1117/12.718037
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

A new method of soft sensing based on process neural network (PNN) for sewage disposal system is represented in the paper. PNN is an extension of traditional neural network, in which the inputs and outputs are time-variation. An aggregation operator is introduced to process neuron, and it makes the neuron network has the ability to deal with the information of space-time two dimensions at the same time, so the data processing enginery of biological neuron is imitated better than traditional neuron. Process neural network with the structure of three layers in which hidden layer is process neuron and input and output are common neurons for soft sensing is discussed. The intelligent soft sensing based on PNN may be used to fulfill measurement of the effluent BOD (Biochemical Oxygen Demand) from sewage disposal system, and a good training result of soft sensing was obtained by the method.

Citation Download Citation

Zaiwen Liu, Hong Xue, Xiaoyi Wang, Bin Yang, and Siying Lu "Study on algorithm of process neural network for soft sensing in sewage disposal system", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63582D (30 October 2006); https://doi.org/10.1117/12.718037

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