Particle swarm optimization and support vector machine based soft-measurement method of effluent-volatile fatty acid of anaerobic wastewater treatment system

• Main Authors: GUAN ZEYU, WAN JINQUAN, YAN ZHICHENG, LIU LIN, MA YONGWEN, WANG YAN
• Format: Patent
• Language: Chinese; English
• Published: 05.09.2017
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; TESTING

The invention discloses a particle swarm optimization and support vector machine based soft-measurement method of effluent-volatile fatty acid of an anaerobic wastewater treatment system. In order to improve precision and robustness of a model, the particle swarm optimization and a support vector machine are combined in the measurement method. The problem about long retardation tine of measurement equipment is solved through the soft-measurement method, effluent quality of wastewater is truly and comprehensively monitored in real time, and accidental contaminations are prevented; meanwhile, the soft-measurement method can be used for feedback control to achieve optimal control on the anaerobic wastewater treatment system, guidance is provided for monitoring, optimizing and understanding the anaerobic digestion process, some expensive measurement equipment can be substituted, maintenance cost is saved, wastewater treatment cost is lowered, and the soft-measurement method is easy to promote and apply in wastewa