Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Artificial intelligence control system and method for reducing foam of coal gas industrial wastewater

A technology of artificial intelligence and industrial wastewater, applied in the direction of water treatment parameter control, biological treatment adjustment methods, chemical instruments and methods, etc., can solve the problems of consumption and foam production reduction, and achieve the effect of low operating cost and convenient operation

Pending Publication Date: 2021-10-29
伊犁新天煤化工有限责任公司 +1
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies in the prior art, provide an artificial intelligence control system and method for reducing foam in coal gas industry wastewater, eliminate the harm that traditional chemical defoamers bring to the treatment of coal chemical wastewater; Eliminate the problem of consuming a large amount of water resources and improve the efficiency of waste water recycling; adopt intelligent control to efficiently ensure the best process operating conditions of the sewage biological treatment system, reduce foam production from the source, and improve the effect and stability of biochemical treatment ; Can effectively reduce the operating cost of foam pollution control measures

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Artificial intelligence control system and method for reducing foam of coal gas industrial wastewater
  • Artificial intelligence control system and method for reducing foam of coal gas industrial wastewater
  • Artificial intelligence control system and method for reducing foam of coal gas industrial wastewater

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Embodiment 1 of the present application provides an artificial intelligence control system for reducing foam in coal-to-gas industrial wastewater, which is used in a sewage treatment plant based on the AAO process, including anaerobic pool 16, anoxic pool 17, aerobic pool 18, Mud water separation pool 19 and artificial intelligence control system. The anaerobic pool 16, the anoxic pool 17, the aerobic pool 18, and the mud-water separation pool 19 can be conventionally arranged and connected in sequence. The artificial intelligence control system includes a data acquisition module, a real-time control module of the wastewater mixing system, a biological aeration module, a real-time control module of the sludge return pump and a sludge discharge pump, a real-time control module of the water spray pump, and a spray start-stop time control module. module.

[0042] The data acquisition module includes an influent flowmeter, a pH monitoring device, a temperature monitoring d...

Embodiment 2

[0050] Embodiment 2 of the present application provides a control method of an artificial intelligence control system for reducing foam in coal-to-gas industrial wastewater, comprising the following steps:

[0051] S1. In the pretreatment process before the biochemical treatment (before the anaerobic tank), the wastewater is first adjusted by dosing, so that the pH value of the biochemical system influent is 6.5-8.5, and the temperature is controlled at 20°C-40°C.

[0052] S2. The waste water passes through the anaerobic pool, the anoxic pool, the aerobic pool and the mud-water separation pool in turn; the nitrifying liquid in the aerobic pool flows back to the anoxic pool through the nitrifying liquid return pipe; Aeration; the sludge at the bottom of the mud-water separation tank is returned to the anaerobic tank and the anoxic tank through the sludge return pipe, and the remaining sludge in the mud-water separation tank is discharged through the sludge discharge pipe; the su...

Embodiment 3

[0060] Embodiment 3 of the present application provides an artificial intelligence control method for reducing foam in coal-to-gas industrial wastewater, comprising the following steps:

[0061] S1. In the pretreatment process before the biochemical treatment, the wastewater is firstly adjusted by dosing, so that the pH value of the biochemical system influent is 7.0, and the temperature is controlled at 35°C.

[0062] S2. The waste water passes through the anaerobic pool, the anoxic pool, the aerobic pool and the mud-water separation pool in turn; the nitrifying liquid in the aerobic pool flows back to the anoxic pool through the nitrifying liquid return pipe; Aeration; the sludge at the bottom of the mud-water separation tank is returned to the anaerobic tank and the anoxic tank through the sludge return pipe, and the remaining sludge in the mud-water separation tank is discharged through the sludge discharge pipe; the supernatant of the mud-water separation tank is used to p...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an artificial intelligence control system for reducing foam of coal gas industrial wastewater. The artificial intelligence control system comprises an anaerobic tank, an anoxic tank, an aerobic tank, a mud-water separation tank and an artificial intelligence control system, the anaerobic tank, the anoxic tank, the aerobic tank and the mud-water separation tank are connected in sequence; the artificial intelligence control system comprises a data acquisition module, a wastewater mixing system real-time control module, a biological aeration module, a sludge reflux pump and sludge discharge pump real-time control module, a water spray pump real-time control module and a spray start-stop time control module; and the water spray pump real-time control module comprises a spraying system device. The system has the beneficial effects that the influent COD concentration of the biochemical treatment system and the sludge concentration and dissolved oxygen concentration in the aerobic tank are controlled, the foam volume in the biochemical system is reduced by 40%-50%, meanwhile, the COD removal effect in the biochemical treatment process is improved by 15%-25%, the ammonia nitrogen removal effect is improved by 25%-35%, and the total phosphorus removal effect is improved by 20%-30%.

Description

technical field [0001] The invention relates to an artificial intelligence control system and method for reducing foam in coal-gas industrial wastewater, belonging to the technical field of industrial wastewater treatment. Background technique [0002] Foam pollution often occurs in the process of coal-to-gas industrial wastewater treatment, which is generally divided into two categories: chemical foam pollution and biological foam pollution. Chemical foam is caused by foaming substances (such as surfactants, certain suspended substances, etc.) in wastewater under aeration or stirring conditions. Biofoam is a stable three-phase system formed by air-water-microorganisms. The direct reason is that due to the large number of filamentous bacteria (mainly Nocardia and Microthrix), the filamentous bacteria are basically filamentous or Branch-shaped, it is easy to catch suspended particles and air bubbles to float to the water surface, forming a relatively stable biological foam. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): C02F9/14C02F3/00C02F3/30C02F103/34
CPCC02F3/30C02F3/302C02F3/006C02F3/308C02F1/66C02F2103/34C02F2301/04C02F2301/043C02F2209/08C02F2209/22C02F2303/12
Inventor 王毅黄建元钱虹洲王蒋镔尹志凯冉令慧李海胜刘春红刘会全杨想军
Owner 伊犁新天煤化工有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products