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Intelligent denitrification regulation and control method and regulation and control system for aquaculture wastewater

A breeding wastewater and control system technology, which is applied to chemical instruments and methods, animal husbandry wastewater treatment, water pollutants, etc., can solve the problems of increased cost of chemicals, large increase in sludge production, and excessive COD of effluent, so as to save cost of chemicals Effect

Pending Publication Date: 2022-07-26
四川开泽环境科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, excessive reliance on external carbon source addition will also bring new problems: 1) The cost of chemicals will increase significantly; 2) The sludge output will increase greatly, which will increase the difficulty of subsequent sludge disposal; 3) Artificial carbon source addition, There is a risk of COD penetration, leading to excessive COD in the effluent; 4) Excessive growth of heterotrophic bacteria seizes the ecological niche of autotrophic nitrifying bacteria, resulting in a decrease in nitrification efficiency and threatening the standard of ammonia nitrogen in the effluent

Method used

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  • Intelligent denitrification regulation and control method and regulation and control system for aquaculture wastewater
  • Intelligent denitrification regulation and control method and regulation and control system for aquaculture wastewater
  • Intelligent denitrification regulation and control method and regulation and control system for aquaculture wastewater

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Embodiment 1

[0041] The denitrification process of aquaculture wastewater often adopts A / O process and two-stage A / O process. Laboratory test results show that most of the aquaculture wastewater has high ammonia nitrogen concentration, low COD and low C / N. Collect parameters for different treatment stages in the sewage treatment process to obtain different water quality indicators, as shown in Table 1 below;

[0042]

[0043] Table 1: List of monitoring data

[0044]Experiments show that in the nitrification process, the amount of aeration determines the ratio of nitrification and nitrification; the denitrification process often lacks carbon sources; the sludge concentration is an important indicator for monitoring the activity and stability of microorganisms. Therefore, the important water quality indicators for screening include: 1) dissolved oxygen (DO) in aerobic tank; 2) COD in influent; 3) concentration of nitrate and nitrogen in nitrification return liquid; 4) concentration of s...

Embodiment 2

[0068] The four-level early warning control measures include:

[0069] The carbon source adjustment is set as a first-level early warning, and the carbon source adjustment includes comparing the obtained measured sludge concentration with 70% of the predicted sludge concentration, and when it is lower than 70% of the predicted sludge concentration, according to the microbial dynamic model Add carbon source according to the calculated carbon source amount;

[0070] The internal reflux ratio adjustment is set as a second-level early warning, and the internal reflux ratio adjustment includes comparing the predicted internal reflux ratio calculated according to the total nitrogen concentration of the influent and the nitrate nitrogen concentration of the reflux liquid with the actual internal reflux ratio. When the ratio is less than 80% of the predicted internal reflux ratio, increase the internal reflux ratio until it approaches the predicted internal reflux ratio;

[0071] The...

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Abstract

The invention discloses an intelligent denitrification regulation and control method and system for breeding wastewater, and the method comprises the steps: obtaining different water quality indexes for different wastewater treatment units according to a wastewater treatment process; according to the microbial dynamic model, a big data operation and deep learning algorithm is adopted to predict control parameters in sewage treatment according to the obtained water quality indexes, and the control parameters comprise the carbon source amount, the internal reflux ratio and the external reflux ratio; and according to a prediction result and a set four-stage early warning regulation measure, early warning and regulation are carried out on the instability condition, and the dosage and the aeration rate are finely controlled, so that the effluent is stable and reaches the standard. An automatic (semi-automatic) remote management and control platform of the sewage treatment plant is realized by establishing a microbial kinetic model and utilizing big data calculation and platform deep learning, so that an operation and maintenance party can make a scientific and accurate decision conveniently.

Description

technical field [0001] The invention relates to the technical field of sewage treatment, in particular to an intelligent denitrification control method and control system for aquaculture wastewater. Background technique [0002] So far, various industries have proposed carbon neutral implementation paths. The sewage treatment industry, as a major carbon emitter that cannot be ignored, its carbon peaking and carbon neutrality will play an important role in the realization of my country's "dual carbon" goal. The higher the emission standard of the sewage treatment plant, the higher the energy consumption and the higher the associated greenhouse gas emissions. High energy consumption also means high operating costs. Among them, the electricity cost accounts for the largest proportion of the operating cost of the sewage treatment plant, and the aeration power consumption accounts for about 55% of the power consumption of the whole plant. Excessive aeration is a common problem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C02F3/30C02F103/20C02F101/16
CPCC02F3/006C02F3/303C02F3/305C02F2103/20C02F2209/001C02F2209/08C02F2209/22C02F2209/40C02F2101/16
Inventor 曹沁李小川吴瀚徐志磊付小龙张小龙颜谦陈砚昕
Owner 四川开泽环境科技有限公司
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