Wastewater treatment process soft-sensing modeling method based on chaos-fireworks hybrid algorithm

A technology of sewage treatment and hybrid algorithm, which is applied in computing models, electrical digital data processing, special data processing applications, etc., and can solve problems such as poor robustness, failure to find a global optimal solution, and slow local optimal convergence speed.

Active Publication Date: 2018-05-04
JIAXING UNIV
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However, when dealing with complex optimization problems, the results of each solution may be different or the global optimal solution cannot b

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  • Wastewater treatment process soft-sensing modeling method based on chaos-fireworks hybrid algorithm
  • Wastewater treatment process soft-sensing modeling method based on chaos-fireworks hybrid algorithm
  • Wastewater treatment process soft-sensing modeling method based on chaos-fireworks hybrid algorithm

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[0060] The technical solution of the present invention is described in detail below. The embodiment of the present invention is only for illustrating a specific structure, and the scale of the structure is not limited by the embodiment.

[0061] Based on the soft sensor modeling method of the sewage treatment process based on the chaos-fireworks hybrid algorithm, an improved two-level sinusoidal chaotic map is defined, and the extraction method of the initial members of FWA is improved by using the ergodicity of chaotic motion; in order to further improve the existing FWA To optimize the performance, the FWA algorithm and the COA algorithm are organically combined to define an improved chaos-fireworks hybrid optimization algorithm (CFWA); for the soft sensor modeling problem of dissolved oxygen mass concentration in the sewage biochemical treatment process, a new one is defined Sample similarity metrics and a representative sample extraction method are used to extract more rep...

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Abstract

The invention discloses a wastewater treatment process soft-sensing modeling method based on a chaos-fireworks hybrid algorithm. For improving quality of initial fireworks members of an FWA (Fireworksalgorithm), improved two-level sine chaos mapping is defined in the method. For improving optimization performance of the basic FWA and fusing a chaos optimization algorithm and the FWA, the chaos-fireworks hybrid optimization algorithm is provided. According to the method, information exchange and sharing among members in populations are effectively enhanced, diversity of the populations is improved, search ranges in solution space are enlarged, and premature convergence of the algorithm is avoided. In addition, a new sample similarity measurement index is defined for the soft-sensing modeling problem of dissolved-oxygen (DO) mass concentration of a wastewater biochemical-treatment process, and a representative-sample extraction method is provided, and is used for extracting more representative modeling data. The improved chaos-fireworks hybrid optimization algorithm is applied to neural-network training in soft-sensing modeling, and good application effects are obtained.

Description

technical field [0001] The invention relates to the field of soft-sensing modeling, in particular to a soft-sensing modeling method for sewage treatment process based on a chaos-fireworks hybrid algorithm. Background technique [0002] With the continuous increase of industrial and domestic sewage discharge, the pollution of water resources is becoming more and more serious, which makes the original shortage of water resources more stretched. Urban sewage treatment and recycling is one of the effective ways to improve the ecological environment and solve the problem of urban water shortage. At present, biochemical methods are mostly used in sewage treatment, which is the most important way for industrial and urban sewage treatment. In the sewage biochemical treatment system, the dissolved oxygen concentration (DO) in water is an important indicator in the biochemical reaction process of sewage treatment, which can reflect the operation status of the entire sewage treatment ...

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Application Information

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IPC IPC(8): G06F17/50G06N3/00G06N3/04G06K9/62
CPCG06N3/006G06F30/20G06N3/045G06F18/22G06F18/214
Inventor 陈如清
Owner JIAXING UNIV
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