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Ship salt-containing sewage treatment control prediction system and prediction method based on a wavelet neural network

A technology of wavelet neural network and sewage treatment, which is applied in the field of domestic sewage treatment system of ships, can solve the problems of not dynamically reflecting the relationship between operating variables and control targets, many undetermined parameters, poor identification, etc., and achieves simple structure and fast convergence Fast, precise results

Active Publication Date: 2019-03-26
HARBIN ENG UNIV
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Problems solved by technology

However, the current sewage treatment process model has a complex structure, too many undetermined parameters, poor identification, and cannot dynamically reflect the relationship between operating variables and control objectives, so it cannot be used for on-line control
In addition, because the sewage treatment process is affected by the influent water quality, temperature, pH and salinity, it has the characteristics of strong coupling and high nonlinearity, which poses challenges to the monitoring and control of the sewage treatment process.

Method used

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  • Ship salt-containing sewage treatment control prediction system and prediction method based on a wavelet neural network
  • Ship salt-containing sewage treatment control prediction system and prediction method based on a wavelet neural network
  • Ship salt-containing sewage treatment control prediction system and prediction method based on a wavelet neural network

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Embodiment Construction

[0046] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0047] combine Figure 1-7 , the present invention is based on a wavelet neural network (WNN) ship high-salinity sewage treatment control and prediction system, which is used to control and predict the operation of the ship's domestic sewage treatment system. The schematic diagram of the process control is as follows figure 1 :

[0048] The system consists of three modules, which are the main body of the ship sewage treatment device, the sensor acquisition module and the wavelet neural network controller;

[0049] The main body diagram of the ship sewage treatment system is as follows figure 2 , the overall layout is divided into a buffer pool, a biochemical treatment pool, a dosing box and a saline sludge acclimation pool. Buffer system sewage inflow and dilute influent salinity; biochemical treatment area and dosing area are connected by dosing pump to degra...

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Abstract

The invention aims to provide a ship salt-containing sewage treatment control prediction system and prediction method based on a wavelet neural network. The wavelet theory and the neural network are combined, so that the wavelet neural network completely inherits the excellent time-frequency localization characteristic of wavelet transformation and the self-learning characteristic of the neural network, and the strong nonlinear approximation capability is realized. The problems that a traditional neural network prediction model is poor in precision, low in stability and the like are solved particularly aiming at the characteristics of high nonlinearity, strong coupling, time varying, large hysteresis and complexity in the salt-containing sewage treatment process. A corresponding control strategy is provided, self-repairing is achieved while ship sewage treatment equipment is self-monitored and diagnosed, compared with other algorithms, the intelligent degree is high, and the operationcost is further saved. Experimental results show that the prediction method can well predict the pollutant removal efficiency in the high-salinity seawater, so that a feasible operation strategy is provided for the treatment of the ship salt-containing sewage.

Description

technical field [0001] The invention relates to a ship domestic sewage treatment system and method. Background technique [0002] The International Maritime Organization (IMO) has increasingly stringent requirements on the discharge of sewage from ships. Although domestic sewage treatment technology and devices are developing rapidly in our country, there are still many problems. Especially for the control problem in the treatment process, due to the characteristics of high nonlinearity, strong coupling, time variation, large hysteresis and complexity in the sewage treatment process, traditional control methods, such as switch control or PID control, can only Control a single variable, but for complex systems, effective control cannot be achieved. [0003] In view of the shortcomings of traditional control methods, in recent years, many scholars have conducted a lot of research on the control of sewage treatment and proposed many mathematical models, such as ASM series mod...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/04G01N33/18
CPCG06Q10/04G01N33/18G06N3/045
Inventor 施悦蔡煜航肖世豪张坤王义权孙培淇
Owner HARBIN ENG UNIV
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