Energy-saving and environment-friendly sewage treatment system for steel plant

Abstract

The present application relates to sewage treatment technical field, and disclose a kind of steel plant energy-saving and environment-friendly sewage treatment system, including data monitoring module, data acquisition module, data analysis module, sewage evaluation module and sewage management module, data monitoring module by using monitoring equipment and sensor online monitoring steel plant data, data acquisition module is used to collect data, data analysis module is used to calculate water pollution severity Pl, sewage treatment efficiency Vl and sewage discharge qualified index Zl, sewage evaluation module according to steel plant historical data determines water pollution grade standard line, and according to water pollution severity Pl judges sewage treatment grade, dosing type and processing flow, according to sewage treatment efficiency Vl judges whether sewage is discharged to next stage or to self-circulation stage, according to sewage discharge qualified index Zl judges whether sewage is directly discharged or enters self-circulation stage, finally by management module issues optimization instruction of data monitoring module, data acquisition module and data analysis module.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment technology, specifically to an energy-saving and environmentally friendly wastewater treatment system for steel plants. Background Technology

[0002] In existing technologies, wastewater treatment processes in steel plants suffer from unclear processes and low efficiency. Traditional treatment systems may fail to accurately classify and analyze wastewater from different sources, resulting in a lack of targeted and effective treatment. For example, wastewater from circulating cooling water systems, desalinated water, softened water, concentrated brine from pure water production facilities, and wastewater generated in various production processes—if these different types of wastewater are directly introduced into subsequent treatment stages without proper classification and pretreatment, it will increase treatment difficulty and reduce overall efficiency. Furthermore, the lack of in-depth analysis and understanding of wastewater composition makes it difficult to select the most suitable treatment technologies and methods, thus affecting treatment effectiveness and the achievement of environmental goals. Therefore, developing an energy-saving and environmentally friendly system that can clearly classify and efficiently treat wastewater from steel plants is of great significance for improving environmental quality and enhancing resource utilization. Summary of the Invention

[0003] (a) Technical problems to be solved

[0004] To address the shortcomings of existing technologies, this invention provides an energy-saving and environmentally friendly wastewater treatment system for steel plants, which has the advantages of a clear and automated process and high wastewater treatment efficiency, thus solving the problems of unclear wastewater treatment processes and low wastewater treatment efficiency in existing technologies.

[0005] (II) Technical Solution

[0006] To achieve the above objectives, the present invention provides the following technical solution: an energy-saving and environmentally friendly wastewater treatment system for steel plants, comprising a data monitoring module, a data acquisition module, a data analysis module, a wastewater assessment module, and a wastewater management module;

[0007] The data monitoring module monitors steel plant data online using monitoring equipment and sensors, and the data monitoring module is connected to the data acquisition module via a network.

[0008] The data acquisition module includes a steel plant wastewater source data unit, a steel plant wastewater treatment data unit, and a steel plant wastewater discharge data unit. The steel plant wastewater source data unit acquires wastewater source data by connecting to the steel plant data terminal via the Internet of Things (IoT). The steel plant wastewater treatment data unit acquires wastewater treatment data by using online monitoring equipment, online testing instruments, and the steel plant laboratory IoT terminal. The steel plant wastewater discharge data unit acquires wastewater discharge data by using online monitoring equipment, online testing instruments, the steel plant laboratory IoT terminal, and effluent discharge indicators. The steel plant wastewater source data unit, steel plant wastewater treatment data unit, and steel plant wastewater discharge data unit are connected to the data analysis module via a network.

[0009] The data analysis module includes a steel plant wastewater classification unit, a steel plant wastewater analysis unit, and a steel plant wastewater discharge integration unit. The steel plant wastewater classification unit calculates the water pollution severity P1 based on the steel plant wastewater source data. The steel plant wastewater analysis unit calculates the wastewater treatment efficiency Vl based on the steel plant wastewater treatment data. The steel plant wastewater discharge integration unit calculates the wastewater discharge compliance index Zl based on the steel plant wastewater discharge data. The steel plant wastewater classification unit, steel plant wastewater analysis unit, and steel plant wastewater discharge integration unit are connected to the wastewater assessment module via a network.

[0010] The wastewater assessment module formulates water pollution level standards based on historical data from the steel plant, and then determines the wastewater treatment level, chemical dosing type, and treatment process based on the severity of water pollution (P1). The wastewater assessment module determines whether the wastewater should be discharged to the next stage or enter the self-circulation stage based on the wastewater treatment efficiency (Vl). The wastewater assessment module determines whether the wastewater should be directly discharged or enter the self-circulation stage based on the wastewater discharge qualification index (Zl). The wastewater assessment module communicates with the wastewater management module via the network.

[0011] The wastewater management module issues optimization instructions to the data monitoring module, data acquisition module, and data analysis module based on the evaluation results of the wastewater assessment module.

[0012] Preferably, the wastewater source data of the steel plant includes wastewater from the circulating cooling water system, demineralized water, softened water and concentrated brine produced by the pure water production facility, as well as wastewater data generated by each process of the steel plant during production and operation. These data are statistically analyzed and numbered, and the wastewater from the circulating cooling water system, demineralized water, softened water and concentrated brine produced by the pure water production facility, as well as the wastewater data generated by each process of the steel plant during production and operation are respectively numbered Q1, Q2, Q3 and Q4.

[0013] Preferably, the wastewater treatment data from the steel plant includes detection data from the pretreatment tank, physical tank, chemical tank, and microbial tank. These data are statistically analyzed and numbered, with the detection data from the pretreatment tank, physical tank, chemical tank, and microbial tank being numbered X1, X2, X3, and X4, respectively.

[0014] Preferably, the wastewater discharge data from the steel plant includes wastewater monitoring data from the outlet pipe of the microbial pond and inlet monitoring data from the wastewater discharge point. These data are statistically analyzed and numbered, with the outlet pipe monitoring data and inlet monitoring data from the wastewater discharge point respectively numbered as H. c H r .

[0015] Preferably, the wastewater classification unit of the steel plant calculates the water pollution severity P1 based on the wastewater source data of the steel plant, and the calculation formula is as follows:

[0016]

[0017] In the formula, Pl represents the severity of water pollution, Q1, Q2, Q3, and Q4 represent the wastewater discharged from the circulating cooling water system, demineralized water, softened water, and concentrated brine produced by the pure water production facilities, as well as the wastewater data generated by each process in the steel plant during production and operation. i This refers to a specific type of comprehensive wastewater monitoring data within the steel plant's wastewater treatment data. Qe1, Qe2, Qe3, and Qe4 represent the content of corresponding wastewater monitoring indicators in the wastewater discharge from the circulating cooling water system, demineralized water, softened water, concentrated brine produced by the pure water production facilities, and wastewater generated during the production and operation of various processes in the steel plant, respectively. i This indicates the content of a specific wastewater monitoring indicator in the wastewater treatment data of a steel plant. These indicators include pH value, chemical oxygen demand (COD), suspended solids, and heavy metal content. i This indicates the weight of a particular wastewater monitoring indicator in the severity of water pollution.

[0018] Preferably, the wastewater analysis unit of the steel plant calculates the wastewater treatment efficiency Vl based on the wastewater treatment data of the steel plant, and the calculation formula is as follows:

[0019]

[0020]

[0021] In the formula, Vl represents the wastewater treatment efficiency, Vl1 represents the wastewater treatment efficiency of the pretreatment tank, Vl2 represents the wastewater treatment efficiency of the physical tank, Vl3 represents the wastewater treatment efficiency of the chemical tank, and X1, X2, X3, and X4 represent the test data of the pretreatment tank, physical tank, chemical tank, and microbial tank, respectively.

[0022] Preferably, the wastewater discharge integrated unit of the steel plant calculates the wastewater discharge compliance index Zl based on the wastewater discharge data of the steel plant, and the calculation formula is as follows:

[0023]

[0024] In the formula, Zl represents the wastewater discharge compliance standard, and H c H r These represent wastewater monitoring data from the outlet pipe of the microbial pool and inlet monitoring data from the wastewater discharge point, respectively.

[0025] Preferably, the wastewater assessment module formulates a water pollution level standard line based on historical data from the steel plant, and then determines the wastewater treatment level, type of chemical to be added, and treatment process based on the severity of water pollution P1. The process is as follows:

[0026] When the severity of water pollution Pl deviates from the standard line of water pollution level by 1 / 10, the sewage treatment level is judged to be level three. The acidity or alkalinity of the sewage is determined by the online pH meter before chemical dosing is carried out. The treatment process consists of physical tank, chemical tank and microbial tank.

[0027] When the severity of water pollution Pl deviates from the standard line of water pollution level by 1 / 5, the sewage treatment level is judged to be level II. Chemical dosing is carried out based on the acidity and alkalinity of the sewage according to the online pH meter, and the heavy metal content is detected by online detection equipment. Then, comprehensive treatment and chemical dosing are carried out. The treatment process is physical tank, chemical tank, microbial tank and recirculation tank.

[0028] When the severity of water pollution Pl deviates from the standard line of water pollution level by 1 / 2, the sewage treatment level is judged to be level one. The acidity and alkalinity of the sewage are determined by the online pH meter, and the heavy metal content is detected by online detection equipment. Organic matter is also measured. Then, comprehensive treatment and chemical dosing are carried out. The treatment process consists of physical tank, chemical tank, microbial tank and recirculation tank.

[0029] Preferably, the wastewater assessment module determines whether the wastewater should be discharged to the next stage or to the self-circulation stage based on the wastewater treatment efficiency Vl. The process is as follows:

[0030] When the wastewater treatment efficiency Vl1 is qualified, that is, the wastewater treatment efficiency of the pretreatment tank meets the standard, it enters the physical treatment stage; when the wastewater treatment efficiency Vl1 is not qualified, it enters the self-circulation stage of the pretreatment tank.

[0031] When the wastewater treatment efficiency Vl2 is qualified, that is, the wastewater treatment efficiency of the physical tank meets the standard, it enters the chemical treatment stage; when the wastewater treatment efficiency Vl2 is not qualified, it enters the physical tank self-circulation stage.

[0032] If the wastewater treatment efficiency Vl3 is qualified, that is, the wastewater treatment efficiency of the chemical tank meets the standard, it will proceed to the microbial treatment stage. If the wastewater treatment efficiency Vl3 is not qualified, it will enter the self-circulation stage of the chemical tank.

[0033] Preferably, the wastewater assessment module determines whether the wastewater should be directly discharged or enter the self-circulation stage based on the wastewater discharge qualification index Zl. The process is as follows: when the wastewater discharge qualification index Zl is determined to meet the qualification standard, it directly enters the discharge outlet; when the wastewater discharge qualification index Zl is determined not to meet the qualification standard, it directly enters the microbial self-circulation inlet.

[0034] Compared with the prior art, the present invention provides an energy-saving and environmentally friendly wastewater treatment system for steel plants, which has the following beneficial effects:

[0035] 1. This invention calculates the severity of water pollution, P1. This calculation formula integrates monitoring indicators such as pH value, chemical oxygen demand, suspended solids, and heavy metal content of various wastewaters. Through weighted calculation, the overall severity of water pollution in the steel plant is obtained. This comprehensive assessment method can more comprehensively reflect the actual situation of water pollution, providing a basis for subsequent treatment work. Furthermore, by accurately classifying and comprehensively assessing different types of wastewater, it helps to optimize the wastewater treatment process, reduce unnecessary treatment steps and waste of reagent resources. At the same time, for wastewater with a high degree of pollution, treatment resources and time can be prioritized, thereby improving the overall treatment efficiency.

[0036] 2. This invention calculates the wastewater treatment efficiency Vl by incorporating real-time monitoring data as a variable into the calculation formula. The formula can reflect the efficiency changes of each treatment stage (pretreatment tank, physical tank, chemical tank, and microbial tank) in real time. This calculation method based on online monitoring data can improve the accuracy of the system's assessment, enabling the wastewater assessment module to update the actual situation of wastewater treatment in real time and formulate corresponding optimization measures accordingly. At the same time, the monitoring data in the formula changes in real time, so the wastewater treatment efficiency Vl can dynamically reflect the changing trend of wastewater treatment efficiency. The dynamism of this automated monitoring process can not only promptly detect problems in the wastewater treatment process but also notify staff to take corresponding adjustment measures to ensure the stable operation of the wastewater treatment system. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] Please see Figure 1An energy-saving and environmentally friendly wastewater treatment system for steel plants includes a data monitoring module, a data acquisition module, a data analysis module, a wastewater assessment module, and a wastewater management module.

[0040] The data monitoring module monitors steel plant data online using monitoring equipment and sensors, and connects to the data acquisition module via a network.

[0041] The data acquisition module includes a steel plant wastewater source data unit, a steel plant wastewater treatment data unit, and a steel plant wastewater discharge data unit. The steel plant wastewater source data unit acquires wastewater source data by connecting to the steel plant data terminal via the Internet of Things (IoT). The steel plant wastewater treatment data unit acquires wastewater treatment data by using online monitoring equipment, online testing instruments, and the steel plant laboratory IoT terminal. The steel plant wastewater discharge data unit acquires wastewater discharge data by using online monitoring equipment, online testing instruments, the steel plant laboratory IoT terminal, and effluent discharge indicators. The steel plant wastewater source data unit, steel plant wastewater treatment data unit, and steel plant wastewater discharge data unit are connected to the data analysis module via a network.

[0042] The data analysis module includes a wastewater classification unit, a wastewater analysis unit, and a wastewater discharge integration unit. The wastewater classification unit calculates the water pollution severity Pl based on the wastewater source data of the steel plant. The wastewater analysis unit calculates the wastewater treatment efficiency Vl based on the wastewater treatment data of the steel plant. The wastewater discharge integration unit calculates the wastewater discharge compliance index Zl based on the wastewater discharge data of the steel plant. The wastewater classification unit, wastewater analysis unit, and wastewater discharge integration unit are connected to the wastewater assessment module via a network.

[0043] The wastewater assessment module formulates water pollution level standards based on historical data from the steel plant, and then determines the wastewater treatment level, chemical dosing type, and treatment process based on the severity of water pollution. By setting clear water pollution level standards and automatically adjusting the wastewater treatment level according to the degree of deviation, dynamic control of wastewater treatment is achieved. At the same time, the acidity and alkalinity of wastewater are monitored in real time using an online pH meter to ensure the accuracy and effectiveness of chemical dosing. This data-driven treatment method can improve the efficiency and effectiveness of wastewater treatment.

[0044] The wastewater assessment module determines whether wastewater should be discharged to the next stage or to the self-circulation stage based on the wastewater treatment efficiency Vl. By monitoring and evaluating the wastewater treatment efficiency in real time, it can dynamically decide whether the wastewater should continue to flow to the next treatment stage or re-enter the self-circulation of the current stage. This automatic protection mechanism ensures that only wastewater that has reached the predetermined treatment efficiency can enter the next stage, thereby ensuring the efficiency and stability of the entire wastewater treatment process. At the same time, the self-circulation design allows wastewater that does not meet the standards to be further treated in the current stage, avoiding the accumulation and amplification of problems.

[0045] The wastewater assessment module determines whether wastewater should be directly discharged or enter the self-circulation stage based on the wastewater discharge compliance index Zl. The wastewater assessment module connects with the wastewater management module through the network to set up a standard assessment step before wastewater discharge. It determines whether the wastewater can be directly discharged based on the discharge compliance index. If the wastewater does not meet the discharge standard, it will automatically enter the self-circulation stage for further treatment. This dynamic design of the system not only ensures that all discharged wastewater meets environmental protection requirements, but also improves the intelligence level of the wastewater treatment system through a closed-loop feedback mechanism.

[0046] Based on the assessment results from the wastewater assessment module, the wastewater management module issues optimization instructions to the data monitoring module, data acquisition module, and data analysis module.

[0047] The wastewater source data of the steel plant includes wastewater from the circulating cooling water system, demineralized water, softened water and concentrated brine produced by the pure water production facilities, as well as wastewater data generated by each process in the steel plant during production and operation. These data are statistically analyzed and numbered. The wastewater from the circulating cooling water system, the demineralized water, the softened water and concentrated brine produced by the pure water production facilities, and the wastewater data generated by each process in the steel plant during production and operation are respectively numbered Q1, Q2, Q3, and Q4.

[0048] The advantages are: by distinguishing in detail the wastewater from the circulating cooling water system, demineralized water, softened water, and concentrated brine from the pure water production facility, as well as the wastewater generated in each production process, it helps to accurately classify wastewater from different sources in the factory. This classification method helps the wastewater treatment plant to adopt the most appropriate treatment strategy for wastewater of different properties, thereby improving the targeting and effectiveness of the treatment.

[0049] The wastewater treatment data from the steel plant includes test data from the pretreatment tank, physical tank, chemical tank, and microbial tank. These data are statistically analyzed and numbered, with the test data from the pretreatment tank, physical tank, chemical tank, and microbial tank numbered X1, X2, X3, and X4, respectively.

[0050] Wastewater discharge data from the steel plant includes monitoring data from the outlet pipe of the microbial concentrator and monitoring data from the inlet of the wastewater discharge point. This data is statistically analyzed and numbered. The monitoring data from the outlet pipe of the microbial concentrator and the inlet of the wastewater discharge point are respectively numbered H. c H r .

[0051] The wastewater classification unit of the steel plant calculates the water pollution severity Pl based on the wastewater source data of the steel plant, and the calculation formula is as follows:

[0052]

[0053] In the formula, Pl represents the severity of water pollution, Q1, Q2, Q3, and Q4 represent the wastewater discharged from the circulating cooling water system, demineralized water, softened water, and concentrated brine produced by the pure water production facilities, as well as the wastewater data generated by each process in the steel plant during production and operation. i This refers to a specific type of comprehensive wastewater monitoring data within the steel plant's wastewater treatment data. Qe1, Qe2, Qe3, and Qe4 represent the content of corresponding wastewater monitoring indicators in the wastewater discharge from the circulating cooling water system, demineralized water, softened water, concentrated brine produced by the pure water production facilities, and wastewater generated during the production and operation of various processes in the steel plant, respectively. i This indicates the content of a specific wastewater monitoring indicator in the wastewater treatment data of a steel plant. These indicators include pH value, chemical oxygen demand (COD), suspended solids, and heavy metal content. i This indicates the weight of a particular wastewater monitoring indicator in the severity of water pollution.

[0054] The advantages are: by calculating the severity of water pollution Pl, the calculation formula integrates monitoring indicators such as pH value, chemical oxygen demand, suspended solids and heavy metal content of various wastewaters, and calculates the overall water pollution severity of the steel plant through weighted calculation. This comprehensive assessment method can more comprehensively reflect the actual situation of water pollution, providing a basis for subsequent treatment work. Furthermore, by accurately classifying and comprehensively assessing different types of wastewater, it helps to optimize the wastewater treatment process, reduce unnecessary treatment steps and waste of reagent resources. At the same time, for wastewater with a higher degree of pollution, treatment resources and time can be prioritized, thereby improving the overall treatment efficiency.

[0055] The wastewater analysis unit of the steel plant calculates the wastewater treatment efficiency Vl based on the wastewater treatment data of the steel plant. The calculation formula is as follows:

[0056]

[0057] In the formula, Vl represents the wastewater treatment efficiency, Vl1 represents the wastewater treatment efficiency of the pretreatment tank, Vl2 represents the wastewater treatment efficiency of the physical tank, Vl3 represents the wastewater treatment efficiency of the chemical tank, and X1, X2, X3, and X4 represent the test data of the pretreatment tank, physical tank, chemical tank, and microbial tank, respectively.

[0058] The advantages are: by calculating the wastewater treatment efficiency Vl, real-time monitoring data is introduced as a variable into the calculation formula. The formula can reflect the efficiency changes of each treatment stage (pretreatment tank, physical tank, chemical tank, and microbial tank) in real time. This calculation method based on online monitoring data can improve the accuracy of the system's assessment, enabling the wastewater assessment module to update the actual situation of wastewater treatment in real time and formulate corresponding optimization measures accordingly. At the same time, the monitoring data in the formula changes in real time, so the wastewater treatment efficiency Vl can dynamically reflect the changing trend of wastewater treatment efficiency. The dynamism of this automated monitoring process can not only detect problems in the wastewater treatment process in a timely manner, but also notify staff to take corresponding adjustment measures to ensure the stable operation of the wastewater treatment system.

[0059] The wastewater discharge management unit of the steel plant calculates the wastewater discharge compliance index Zl based on the wastewater discharge data of the steel plant. The calculation formula is as follows:

[0060]

[0061] In the formula, Zl represents the wastewater discharge compliance standard, and H c H r These represent wastewater monitoring data from the outlet pipe of the microbial pool and inlet monitoring data from the wastewater discharge point, respectively.

[0062] The advantages are: by calculating the wastewater discharge compliance index Zl, the calculation formula monitors and evaluates two key nodes, the outlet pipe of the microbial tank and the wastewater discharge point, which helps to understand the effectiveness of wastewater treatment in a targeted manner. By comparing the data of these two nodes, it is possible to determine whether the performance of the wastewater treatment system is stable and whether further optimization is needed.

[0063] The wastewater assessment module sets water pollution level standards based on historical data from the steel plant, and then determines the wastewater treatment level, chemical dosage, and treatment process based on the severity of water pollution (P1). The process is as follows:

[0064] When the severity of water pollution Pl deviates from the standard line of water pollution level by 1 / 10, the sewage treatment level is judged to be level three. The acidity or alkalinity of the sewage is determined by the online pH meter before chemical dosing is carried out. The treatment process consists of physical tank, chemical tank and microbial tank.

[0065] When the severity of water pollution Pl deviates from the standard line of water pollution level by 1 / 5, the sewage treatment level is judged to be level II. Chemical dosing is carried out based on the acidity and alkalinity of the sewage according to the online pH meter, and the heavy metal content is detected by online detection equipment. Then, comprehensive treatment and chemical dosing are carried out. The treatment process is physical tank, chemical tank, microbial tank and recirculation tank.

[0066] When the severity of water pollution Pl deviates from the standard line of water pollution level by 1 / 2, the sewage treatment level is judged to be level one. The acidity and alkalinity of the sewage are determined by the online pH meter, and the heavy metal content is detected by online detection equipment. Organic matter is also measured. Then, comprehensive treatment and chemical dosing are carried out. The treatment process consists of physical tank, chemical tank, microbial tank and recirculation tank.

[0067] The wastewater assessment module determines whether wastewater should be discharged to the next stage or to the self-circulation stage based on the wastewater treatment efficiency Vl. The process is as follows:

[0068] When the wastewater treatment efficiency Vl1 is qualified, that is, the wastewater treatment efficiency of the pretreatment tank meets the standard, it enters the physical treatment stage; when the wastewater treatment efficiency Vl1 is not qualified, it enters the self-circulation stage of the pretreatment tank.

[0069] When the wastewater treatment efficiency Vl2 is qualified, that is, the wastewater treatment efficiency of the physical tank meets the standard, it enters the chemical treatment stage; when the wastewater treatment efficiency Vl2 is not qualified, it enters the physical tank self-circulation stage.

[0070] If the wastewater treatment efficiency Vl3 is qualified, that is, the wastewater treatment efficiency of the chemical tank meets the standard, it will proceed to the microbial treatment stage. If the wastewater treatment efficiency Vl3 is not qualified, it will enter the self-circulation stage of the chemical tank.

[0071] The wastewater assessment module determines whether wastewater should be directly discharged or enter the self-circulation stage based on the wastewater discharge compliance index Zl. The process is as follows: when the wastewater discharge compliance index Zl is determined to meet the compliance standard, it directly enters the discharge outlet; when the wastewater discharge compliance index Zl is determined not to meet the compliance standard, it directly enters the microbial self-circulation inlet.

[0072] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An energy-saving and environmentally friendly wastewater treatment system for steel plants, characterized in that, It includes a data monitoring module, a data acquisition module, a data analysis module, a wastewater assessment module, and a wastewater management module; The data monitoring module monitors steel plant data online using monitoring equipment and sensors, and the data monitoring module is connected to the data acquisition module via a network. The data acquisition module includes a steel plant wastewater source data unit, a steel plant wastewater treatment data unit, and a steel plant wastewater discharge data unit. The steel plant wastewater source data unit acquires wastewater source data by connecting to the steel plant data terminal via the Internet of Things (IoT). The steel plant wastewater treatment data unit acquires wastewater treatment data by using online monitoring equipment, online testing instruments, and the steel plant laboratory IoT terminal. The steel plant wastewater discharge data unit acquires wastewater discharge data by using online monitoring equipment, online testing instruments, the steel plant laboratory IoT terminal, and effluent discharge indicators. The steel plant wastewater source data unit, steel plant wastewater treatment data unit, and steel plant wastewater discharge data unit are connected to the data analysis module via a network. The data analysis module includes a steel plant wastewater classification unit, a steel plant wastewater analysis unit, and a steel plant wastewater discharge comprehensive unit. The steel plant wastewater classification unit calculates the severity of water pollution based on data on the sources of steel plant wastewater. The wastewater analysis unit of the steel plant calculates the wastewater treatment efficiency based on the wastewater treatment data of the steel plant. The integrated wastewater discharge unit of the steel plant calculates the wastewater discharge compliance index based on the wastewater discharge data of the steel plant. The wastewater classification unit, wastewater analysis unit, and wastewater discharge integration unit of the steel plant are connected to the wastewater assessment module via a network. The wastewater assessment module sets water pollution level standards based on historical data from the steel plant, and then determines the severity of water pollution levels accordingly. The wastewater assessment module determines the wastewater treatment level, type of chemicals used, and treatment process based on wastewater treatment efficiency. The wastewater assessment module determines whether wastewater is discharged to the next stage or to the self-circulation stage based on wastewater discharge compliance indicators. To determine whether wastewater is directly discharged or enters the self-circulation stage, the wastewater assessment module communicates with the wastewater management module via a network. The wastewater classification unit of the steel plant calculates the severity of water pollution based on data on the source of the wastewater from the steel plant. The calculation formula is as follows: In the formula, Indicates the severity of water pollution. , , , These represent wastewater from the circulating cooling water system, demineralized water, softened water, concentrated brine from the pure water production facilities, and wastewater generated during the production and operation of various processes in the steel plant. This represents a specific type of comprehensive wastewater monitoring data within the wastewater treatment data of a steel plant. , , , These represent the content of corresponding wastewater monitoring indicators in the data of wastewater discharged from the circulating cooling water system, demineralized water, softened water, concentrated brine produced by the pure water production facility, and wastewater generated during the production and operation of various processes in the steel plant. This indicates the content of a specific wastewater monitoring indicator in the wastewater treatment data of a steel plant. These indicators include pH value, chemical oxygen demand (COD), suspended solids, and heavy metal content. This indicates the weight of a particular wastewater monitoring indicator in the severity of water pollution. The wastewater management module issues optimization instructions to the data monitoring module, data acquisition module, and data analysis module based on the evaluation results of the wastewater assessment module.

2. The energy-saving and environmentally friendly wastewater treatment system for steel plants according to claim 1, characterized in that: The wastewater source data for the steel plant includes wastewater from the circulating cooling water system, demineralized water, softened water, and concentrated brine produced by the pure water production facilities, as well as wastewater data generated during the production and operation of various processes in the steel plant. This data is statistically analyzed and numbered. The wastewater from the circulating cooling water system, the demineralized water, the softened water, and the concentrated brine produced by the pure water production facilities, and the wastewater data generated during the production and operation of various processes in the steel plant are respectively numbered as follows: , , , .

3. The energy-saving and environmentally friendly wastewater treatment system for steel plants according to claim 1, characterized in that: The wastewater treatment data from the steel plant includes test data from the pretreatment tank, physical tank, chemical tank, and microbial tank. This data is statistically analyzed and numbered. The test data from the pretreatment tank, physical tank, chemical tank, and microbial tank are respectively numbered as follows: , , , .

4. The energy-saving and environmentally friendly wastewater treatment system for steel plants according to claim 1, characterized in that: The wastewater discharge data from the steel plant includes monitoring data from the outlet pipe of the microbial pond and monitoring data from the inlet of the wastewater discharge point. This data is statistically analyzed and numbered. The monitoring data from the outlet pipe of the microbial pond and the monitoring data from the inlet of the wastewater discharge point are respectively numbered as follows: , .

5. The energy-saving and environmentally friendly wastewater treatment system for steel plants according to claim 1, characterized in that: The wastewater analysis unit of the steel plant calculates the wastewater treatment efficiency based on the wastewater treatment data of the steel plant. The calculation formula is as follows: In the formula, Indicates wastewater treatment efficiency. Wastewater treatment efficiency of the pretreatment tank This indicates the wastewater treatment efficiency of the physical treatment tank. 3 indicates the wastewater treatment efficiency of the chemical treatment tank. , , , These represent the test data from the pretreatment tank, physical tank, chemical tank, and microbial tank, respectively.

6. The energy-saving and environmentally friendly wastewater treatment system for steel plants according to claim 1, characterized in that: The integrated wastewater discharge unit of the steel plant calculates wastewater discharge compliance indicators based on the wastewater discharge data of the steel plant. The calculation formula is as follows: In the formula, Indicates the qualified indicators for wastewater discharge. , These represent wastewater monitoring data from the outlet pipe of the microbial pool and inlet monitoring data from the wastewater discharge point, respectively.

7. The energy-saving and environmentally friendly wastewater treatment system for steel plants according to claim 1, characterized in that: The wastewater assessment module sets water pollution level standards based on historical data from the steel plant, and then determines the severity of water pollution levels accordingly. The process of determining the wastewater treatment level, type of chemical to be added, and treatment flow is as follows: When the severity of water pollution When the wastewater deviates from the standard line of water pollution level by 1 / 10, the wastewater treatment level is judged to be level three. The chemical dosing is carried out based on the determination of the acidity and alkalinity of the wastewater by the online pH meter. The treatment process consists of physical tank, chemical tank and microbial tank. When the severity of water pollution When the wastewater deviates from the standard line for water pollution level by 1 / 5, the wastewater treatment level is determined to be Level II. Chemical dosing is performed based on the determination of the acidity or alkalinity of the wastewater using an online pH meter. At the same time, the heavy metal content is detected by online monitoring equipment. Then, comprehensive treatment and chemical dosing are carried out. The treatment process consists of a physical tank, a chemical tank, a microbial tank, and a recirculation tank. When the severity of water pollution When the wastewater deviates from the standard line for water pollution level by 1 / 2, the wastewater treatment level is determined to be Level 1. Chemical dosing is performed based on the online pH meter to determine the acidity or alkalinity of the wastewater. At the same time, online detection equipment detects the heavy metal content and organic matter is measured. Then, comprehensive treatment and chemical dosing are carried out. The treatment process consists of a physical tank, a chemical tank, a microbial tank, and a recirculation tank.

8. The energy-saving and environmentally friendly wastewater treatment system for steel plants according to claim 1, characterized in that: The wastewater assessment module is based on wastewater treatment efficiency. The process of determining whether wastewater is discharged to the next stage or to the self-circulation stage is as follows: When wastewater treatment efficiency 1. Qualified, meaning the pretreatment tank's wastewater treatment efficiency meets the standard. Then, in the physical treatment stage, when the wastewater treatment efficiency... If the test result is unsatisfactory, the sample will enter the pretreatment tank self-circulation stage. When wastewater treatment efficiency 2. Qualified, meaning the physical wastewater treatment efficiency meets the standard. Moving to the chemical treatment stage, when the wastewater treatment efficiency... If item 2 fails, it will enter the physical pool self-circulation stage; Wastewater treatment efficiency Qualified means that the wastewater treatment efficiency of the chemical treatment tank meets the standard. Then, in the microbial treatment stage, the wastewater treatment efficiency...

3. If it fails to meet the standard, it will enter the chemical pool self-circulation stage.

9. The energy-saving and environmentally friendly wastewater treatment system for steel plants according to claim 1, characterized in that: The wastewater assessment module is based on wastewater discharge compliance indicators. The process for determining whether wastewater should be directly discharged or enter the self-circulation stage is as follows: when the wastewater discharge meets the standards... When the wastewater meets the discharge standard, it directly enters the discharge outlet. If the standard is not met, the microbial self-circulation inlet is directly entered.

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