CN-120560196-B - Intelligent decision optimization method oriented to artificial intelligence

Abstract

The invention discloses an intelligent decision optimization method oriented to artificial intelligence, which comprises a data acquisition module, a control module and an output module, wherein the data acquisition module is used for acquiring related information of a wastewater treatment tank and product production; the control module is used for controlling the basic requirements of wastewater treatment through the parameter information of the data acquisition module and making a real-time decision on the specific treatment mode of the wastewater treatment pool; the output module is used for implementing the treatment mode content of the control module, the treatment flow of the wastewater treatment tank is controlled in real time, the actual production condition of a factory is considered when the treatment flow is selected, and according to the characteristics of wastewater, an efficient and energy-saving treatment scheme is designed, so that the treatment quality and the treatment speed are considered while the wastewater treatment problem is solved through wastewater reutilization for enterprises, and the environmental pollution is effectively treated.

Inventors

• WANG DAN

Assignees

• 江苏莘博环保科技有限公司

Dates

Publication Date

20260512

Application Date

20240802

Claims (1)

1. 1. The intelligent decision optimization method oriented to the artificial intelligence is characterized by mainly comprising the following steps of: Step S1, after a production line starts to run, formulating a standard level to which the qualification rate and the defective rate of waste water after the product is used and treated according to the quality inspection result of a first batch of products; step S2, further making a standard level to be reached by the utilization rate of the waste water after the use treatment of the defective products according to the quality inspection result of the first batch of products; Step S3, adapting different product quality requirements under the condition of different volumes of the treatment pool, and selecting a proper treatment flow according to the product quality adaptation quality requirements; The method comprises the steps of obtaining concrete information of a recyclable wastewater treatment tank, wherein the concrete information comprises an advanced treatment tank, a flow control treatment tank and a common treatment tank, the advanced treatment tank, the flow control treatment tank and the common treatment tank are respectively positioned in three branches of an industrial drainage channel, the industrial wastewater drainage priority is that the advanced treatment tank > the flow control treatment tank > the common treatment tank, the flow control treatment tank is provided with a plurality of branch valves, the entering wastewater is controlled to carry out additional wastewater treatment flows on the basic treatment flow of the common treatment tank, and the wastewater treated in the common treatment tank and the wastewater which does not reach the treatment standard in the flow control treatment tank do not participate in secondary utilization; When the wastewater treatment accumulation of the factory is in normal circulation and the wastewater treatment pool is in a non-production stage, the treatment time is in a controllable range, and the quality of wastewater treatment reaches the requirement, as the production process has low quality requirement on wastewater relative to other production processes, and wastewater after different treatment procedures is equally divided into production lines, after the treatment quality of a part of wastewater reaches the requirement, the step of the wastewater treatment flow is promoted again, the promotion of the product quality in the production line with relatively low current water quality requirement is smaller, and the treatment flow of the flow control treatment pool is regulated in real time; The step S3 further includes: S31, remotely monitoring the state of the factory wastewater treatment pools on line, and acquiring the total volume of each wastewater treatment pool in real time; S32, when the product volume of the factory wastewater treatment pool is lower than 80% of the maximum product volume of the factory wastewater treatment pool, predicting total wastewater treatment time by extracting product production time and production draft information, acquiring the proportion of qualified products and defective products in industrial production, controlling the flow control treatment pool to adapt to increase the treatment flow and output the treatment time after the treatment flow after the adaptation change reaches the requirement, and if the treatment time is smaller than the predicted total treatment time, adapting to change the requirement, adapting to increase the number of flow procedures of the flow control treatment pool and re-matching, and adjusting the treatment flow of the flow control treatment pool in real time to meet that the total treatment time error of all wastewater volumes which are currently predicted to be treated and analysis prediction is lower than 5%; And S33, when the product production rate of the system is higher than 80% of the maximum product of the factory wastewater treatment pool, predicting total wastewater treatment time by extracting the product production rate, acquiring the historical daily waste water treatment workload and waste water treatment cleaning efficiency after the waste water is treated, calculating the predicted time of industrial waste water treatment according to the historical daily waste water treatment workload and the waste water treatment cleaning efficiency, combining the minimum treatment requirement information of the waste water treatment, regulating the flow time of the flow control treatment pool in real time to meet the treatment requirement, predicting the wastewater completion degree to the minimum waste water cleaning degree and analyzing and predicting the total treatment time error to be lower than 5%, entering the advanced treatment pool if the waste water treatment condition under the current flow control treatment pool meets the minimum treatment requirement, and stopping executing the step S33 until the total load of the flow control treatment pool monitored during the treatment of the waste water is lower than 70% of the maximum load of the flow control treatment pool, and executing the step S32 in a skip mode.

Description

Intelligent decision optimization method oriented to artificial intelligence Technical Field The invention relates to the technical field of environmental protection management of industrial products, in particular to an intelligent decision optimization method oriented to artificial intelligence. Background The production and manufacture of industrial products requires a large amount of water resources, and wastewater is generated as long as water can be used. The wastewater needs to be treated in time, otherwise, other water bodies are easily polluted, and the water quality is reduced. In the prior art, enterprises monitor the treatment process of industrial wastewater in real time, and the industrial wastewater is treated according to the flow through an industrial wastewater treatment and recycling system, so that the wastewater reaches the use standard again, and the wastewater can be fully recycled for continuous use, thereby saving a large amount of precious water resource cost, realizing zero emission of the wastewater and being beneficial to environmental protection. However, for enterprises carrying out wastewater treatment and recycling, especially in the peak period of the tight production rhythm, the wastewater treatment pool always has the condition of supply shortage, the treatment pool always does not treat the previous batch of wastewater, the next batch of wastewater to be treated is connected, and the quality of wastewater treatment is strictly controlled while the wastewater is recycled. Therefore, an artificial intelligence-oriented intelligent decision optimization system and method with strong planning decision capability and high water quality control accuracy are necessary. Disclosure of Invention The invention aims to provide an intelligent decision optimization method oriented to artificial intelligence so as to solve the problems in the background technology. In order to solve the technical problems, the invention provides an intelligent decision optimizing system oriented to artificial intelligence, which comprises a data acquisition module, a control module and an output module, wherein the data acquisition module is used for acquiring related information of a wastewater treatment tank and product production, the control module is used for controlling basic requirements of wastewater treatment through parameter information of the data acquisition module and making real-time decisions on a specific treatment mode of the wastewater treatment tank, and the output module is used for implementing the treatment mode content of the control module. According to the technical scheme, the data acquisition module comprises a processing pool information acquisition module and a production information acquisition module, wherein the processing pool information acquisition module is used for acquiring relevant information of the wastewater processing pool, and the production information acquisition module is used for acquiring relevant parameters of a product production line and quality inspection results of products. According to the technical scheme, the control module comprises a product influence analysis module and a processing flow decision module, wherein the product influence analysis module is used for analyzing and controlling product quality inspection results caused by different water qualities, and the processing flow decision module is used for making real-time decisions on the processing flow of the processing pool according to the analysis results of the product influence analysis module. According to the technical scheme, the product influence analysis module further comprises a product qualification rate analysis sub-module and a defective product utilization rate analysis sub-module, wherein the product qualification rate analysis sub-module is used for controlling the product qualification rate and defective rate requirements of the treated wastewater, and the defective product utilization rate analysis sub-module is used for controlling the defective product utilization rate requirements of the treated wastewater. According to the technical scheme, the treatment flow decision-making module comprises a product quality adaptation sub-module and a wastewater treatment flow selection sub-module, wherein the product quality adaptation sub-module is used for adapting different product quality requirements under the condition of different volumes of the treatment pool, and the wastewater treatment flow selection sub-module is used for selecting a proper treatment flow according to the quality requirements of the product quality adaptation sub-module. According to the technical scheme, the recyclable wastewater treatment tank specific information acquired by the treatment tank information acquisition module comprises an advanced treatment tank, a flow control treatment tank and a common treatment tank, wherein the advanced treatment tank, the flow control treatment tank and the