Multi-standard evaluation system for antibiotic treatment method

Abstract

The invention discloses a multi-standard evaluation system for an antibiotic treatment method, and relates to the technical field of water environment protection, and the multi-standard evaluation system for the antibiotic treatment method realizes comprehensive monitoring and evaluation of the antibiotic treatment condition of a water area through the synergistic effect of six modules. The efficiency and accuracy of data processing and analysis are improved, problems existing in water area antibiotic treatment can be found and solved in time, and then the safety of a water area and the health of the environment are guaranteed. Compared with the prior art, the system has the advantages that diversified data processing and analysis modules are introduced, the comprehensiveness and accuracy of water area antibiotic treatment conditions are improved, the monitoring and evaluation effect is improved, important improvement and promotion are brought to water area protection and management, and the system is worthy of popularization and application. By integrating multi-dimensional data, dynamic dilution rate, flexible weight adjustment and stage data calculation, the accuracy and flexibility of data processing and analysis are remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of water environment protection, and in particular to a multi-standard evaluation system for an antibiotic treatment method. Background Art

[0002] Antibiotics are widely used in medicine, animal husbandry, aquaculture and planting, and have made great contributions, but the abuse of antibiotics is serious. Humans and animals metabolize antibiotics poorly, and antibiotics cannot be naturally decomposed. Most antibiotics enter the environment through wastewater and feces. The large amount of antibiotics that flow into the environment induces the formation of antibiotic resistance genes and antibiotic-resistant bacteria, posing a threat to the ecological environment and human health.

[0003] In the current research and application of antibiotic treatment methods in water bodies, existing technical means have obvious defects and deficiencies. Traditional monitoring systems usually rely on single dimensions and static models, which cannot fully and real-time reflect the diffusion and treatment dynamics of antibiotics in water bodies. This leads to insufficient accuracy and flexibility in data processing and analysis, and it is impossible to capture abnormal situations that occur during antibiotic treatment in a timely manner. In addition, traditional methods lack the ability to conduct comprehensive analysis and dynamic adjustment of multi-dimensional data, which makes problem discovery and resolution inefficient. These shortcomings seriously limit the effectiveness of water quality monitoring and environmental governance, and it is difficult to meet the increasingly severe needs of environmental protection. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the deficiencies of the prior art, the present invention provides a multi-standard evaluation system for antibiotic treatment methods, which solves the problems mentioned in the above background technology.

[0005] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-standard evaluation system for antibiotic treatment methods, characterized by comprising a data acquisition module, a data processing module, a calculation module, a data analysis module, an execution module and a feedback module; The data acquisition module is used to collect multiple types of data in the current water area and input the collected data information into the data processing module; The data processing module is used to pre-process the multi-source data collected by the data collection module to generate a first data set, a second data set and a third data set; The calculation module is used to perform integrated calculation on the first data set, the second data set and the third data set, so as to generate an outlier; The data analysis module is used to compare the abnormal value with the preset first threshold value Y to generate a first comparison result, and judge whether the antibiotics in the current water area are reasonable according to the first comparison result. If it is unreasonable, the abnormal value and the first threshold value Y are integrated and calculated to generate an abnormal difference coefficient, and then the abnormal difference coefficient is compared with the preset second threshold value R to generate a second comparison result; The execution module executes the preset alarm measures and alarm information according to the second comparison result; The feedback module is used to feed back the alarm information to the device terminal.

[0006] Preferably, the data acquisition module includes a water quality detection unit, a biological detection unit and a basic information detection unit; The water quality detection unit is used to detect the water quality of the current water area and obtain water quality parameters, including: chemical oxygen demand HXY, biological toxicity SWD and dissolved oxygen RJY; The biological detection unit is used to detect the biological characteristics of the current water area and obtain biological parameters, including: initial microbial relative abundance CWS, real-time microbial relative abundance SWS and microbial degradation enzyme activity WJM; The basic information detection unit is used to obtain the basic information of the current water area and antibiotics, including: water flow rate SLS, original antibiotic concentration YKS, evaporation volume ZFL and current antibiotic concentration SKS.

[0007] Preferably, the data processing module removes and fills in missing data and standardizes the data collected by the data collection module to reorganize the data into a first data set, a second data set and a third data set by deduplication. The first data set includes: chemical oxygen demand HXY, biological toxicity SWD, dissolved oxygen RJY and microbial degradation enzyme activity WJM; The second data set includes: initial microbial relative abundance CWS, real-time microbial relative abundance SWS, original antibiotic concentration YKS, and current antibiotic concentration SKS; The third data set includes: water flow rate SLS and evaporation amount ZFL.

[0008] Preferably, the calculation module calculates and obtains the abnormal value by the following formula: Wherein: S1 is the first stage value, S2 is the second stage value, S3 is the third stage value, e is the base function, KS is the dilution rate, T is the detection time interval, a1, a2 and a3 are weight values, and the specific values ​​of a1, a2 and a3 are adjusted and set by the user. The first stage value S1, the second stage value S2, the third stage value S3 and the dilution rate KS are obtained by integrating and calculating the first data set, the second data set and the third data set, respectively.

[0009] Preferably, the calculation module calculates and obtains the first stage value S1, the second stage value S2, the third stage value S3 and the dilution rate KS by the following formulas respectively; Wherein: HXY is chemical oxygen demand, SWD is biological toxicity, RJY is dissolved oxygen, WJM is microbial degradation enzyme activity, CWS is initial microbial relative abundance, SWS is real-time microbial relative abundance, YKS is original antibiotic concentration, SKS is current antibiotic concentration, SLS is water flow rate, ZFL is evaporation, e is base function, ln is logarithmic function, b1, b2, b3, c1, c2, d1 and d2 are weight values, and the values ​​of b1, b2, b3, c1, c2, d1 and d2 are adjusted and set by users.

[0010] Preferably, the data analysis module includes a first analysis unit and a second analysis unit, the first analysis unit is used to generate a first comparison result, and the second analysis unit is used to generate a second comparison result.

[0011] Preferably, the first comparison result is as follows: when When , it means that the current antibiotic treatment is in a reasonable state; when When , it means that the current antibiotic treatment is in an abnormal state; Where YCZ is the outlier and Y is the first threshold.

[0012] Preferably, the abnormal difference coefficient is calculated by the following formula: Where: YCZ is the outlier, and Y is the first threshold.

[0013] Preferably, the second comparison result is as follows: when When , it means that the current antibiotic treatment is in the first level abnormal state; when When , it means that the current antibiotic treatment is in the secondary abnormal state; when , it means that the current antibiotic treatment is in the third level abnormal state.

[0014] Preferably, the execution module is preset with alarm measures, and the alarm measures are specifically as follows; If the antibiotic treatment in the current water area is in the first level abnormal state, the alarm light will be white, flashing once every 3 seconds, the terminal will display white characters starting with YJ, and the alarm sound will be 40% of the maximum value; If the antibiotic treatment in the current water area is in the secondary abnormal state, the alarm light will be yellow, flashing once every 1 second, the terminal will display white characters starting with RJ, and the alarm tone will be 60% of the maximum value; If the antibiotic treatment in the current water area is in the third level abnormal state, the alarm light is red, flashing every 0.5 seconds, the terminal display is white characters starting with SJ, and the alarm tone is 100% of the maximum value.

[0015] (III) Beneficial effects The present invention provides a multi-standard evaluation system for antibiotic treatment methods, which has the following beneficial effects: (1) The multi-standard evaluation system for antibiotic treatment methods, through the synergistic effect of six modules, realizes comprehensive monitoring and evaluation of antibiotic treatment in waters, improves the efficiency and accuracy of data processing and analysis, and helps to timely discover and solve problems in antibiotic treatment in waters, thereby ensuring the safety of waters and the health of the environment. Compared with current technical means, the system introduces diversified data processing and analysis modules, improves the comprehensiveness and accuracy of antibiotic treatment in waters, thereby improving the effect of monitoring and evaluation, and bringing important improvements and enhancements to water protection and management.

[0016] (2) The multi-standard evaluation system for antibiotic treatment methods significantly improves the accuracy and flexibility of data processing and analysis by integrating multi-dimensional data, dynamic dilution rate, flexible weight adjustment, and phased data calculation. Compared with the traditional single-dimensional, static model, the system can more comprehensively and real-timely reflect the spread and treatment of antibiotics in waters, ensuring the safety of water quality and ecological environment. This improvement not only improves the response speed and accuracy of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of the system structure of the present invention.

[0018] In the figure: 1. Data acquisition module; 11. Water quality detection unit; 12. Biological detection unit; 13. Basic information detection unit; 2. Data processing module; 3. Calculation module; 4. Data analysis module; 41. First analysis unit; 42. Second analysis unit; 5. Execution module; 6. Feedback module. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 1 , a multi-standard evaluation system for antibiotic treatment methods, characterized by: comprising a data acquisition module 1, a data processing module 2, a calculation module 3, a data analysis module 4, an execution module 5 and a feedback module 6; The data acquisition module 1 is used to collect multiple types of data in the current water area and input the collected data information into the data processing module 2; The data processing module 2 is used to pre-process the multi-source data collected by the data collection module 1, so as to generate a first data set, a second data set and a third data set; The calculation module 3 is used to perform integrated calculation on the first data set, the second data set and the third data set, so as to generate an outlier; The data analysis module 4 is used to compare the abnormal value with the preset first threshold value Y to generate a first comparison result, and judge whether the antibiotics in the current water area are reasonable according to the first comparison result. If it is unreasonable, the abnormal value is integrated and calculated with the first threshold value Y to generate an abnormal difference coefficient, and then the abnormal difference coefficient is compared with the preset second threshold value R to generate a second comparison result; The execution module 5 executes the preset alarm measures and alarm information according to the second comparison result; The feedback module 6 is used to feed back the alarm information to the device terminal.

[0021] In this embodiment: the data acquisition module 1 collects data on the current water area through multi-type acquisition, thereby achieving a comprehensive understanding of various aspects of the water area and providing necessary raw data for subsequent processing.

[0022] Data processing module 2: pre-processes the collected multi-source data to generate the first, second and third data sets, providing a high-quality data foundation for the calculation module and improving the availability and accuracy of the data.

[0023] Calculation module 3: Integrate and calculate the first, second and third data sets to generate outliers, which provides an important basis for data analysis and helps determine the situation of antibiotics in waters.

[0024] Data analysis module 4: compares the abnormal value with the preset threshold value to generate the first comparison result, judges whether the antibiotic treatment is reasonable, further generates the abnormal difference coefficient based on the first comparison result, compares it with the second threshold value, and generates the second comparison result, providing a comprehensive data analysis and providing an important basis for subsequent decision-making.

[0025] Execution module 5: Executes preset alarm measures and alarm information according to the second comparison result, realizes timely response to abnormal situations, and helps to ensure the safety of water areas.

[0026] Feedback module 6: Feedback alarm information to the equipment terminal, realize timely transmission and sharing of information, and help strengthen the monitoring and management of antibiotic treatment in water areas.

[0027] Through the synergy of six modules, the system realizes comprehensive monitoring and evaluation of antibiotic treatment in waters, improves the efficiency and accuracy of data processing and analysis, and helps to timely discover and solve problems in antibiotic treatment in waters, thereby ensuring the safety of waters and the health of the environment. Compared with current technical means, the system introduces diversified data processing and analysis modules, improves the comprehensiveness and accuracy of antibiotic treatment in waters, thereby improving the effectiveness of monitoring and evaluation, and bringing important improvements and enhancements to water protection and management.

[0028] See also Figure 1 , the data acquisition module 1 includes a water quality detection unit 11, a biological detection unit 12 and a basic information detection unit 13; The water quality detection unit 11 is used to detect the water quality of the current water area and obtain water quality parameters, including: chemical oxygen demand HXY, biological toxicity SWD and dissolved oxygen RJY; The biological detection unit 12 is used to detect the biological characteristics of the current water area and obtain biological parameters, including: initial microbial relative abundance CWS, real-time microbial relative abundance SWS and microbial degradation enzyme activity WJM; The basic information detection unit 13 is used to obtain basic information of the current water area and antibiotics, including: water flow rate SLS, original antibiotic concentration YKS, evaporation volume ZFL and current antibiotic concentration SKS.

[0029] In this embodiment: the water quality detection unit 11 can comprehensively and accurately evaluate the water quality by detecting water quality parameters such as chemical oxygen demand HXY, biological toxicity SWD and dissolved oxygen RJY. Chemical oxygen demand can reflect the degree of organic pollution in the water body, biological toxicity index can show the biological effect of harmful substances in the water body, and dissolved oxygen is directly related to the self-purification capacity of the water body and the living environment of organisms. This multi-parameter monitoring provides more detailed water quality information, which helps to timely discover water quality problems and take corresponding treatment measures. The biological detection unit 12 can understand the biological characteristics of the water area in detail by detecting the initial microbial relative abundance CWS, the real-time microbial relative abundance SWS and the microbial degradation enzyme activity WJM. The initial microbial relative abundance provides the basic situation of natural microorganisms in the water body, the real-time microbial relative abundance can show the changes in the microbial community during the antibiotic treatment process, and the microbial degradation enzyme activity can evaluate the microbial degradation ability of antibiotics. The comprehensive monitoring of these biological parameters can better understand the impact of antibiotics on the water ecosystem and provide a scientific basis for optimizing antibiotic treatment strategies. The basic information detection unit 13 can provide key environmental parameters that affect the diffusion and degradation of antibiotics by acquiring the water flow rate SLS, the original concentration of antibiotics YKS, the evaporation amount ZFL and the current concentration of antibiotics SKS. The water flow rate can affect the dilution and diffusion rate of antibiotics, the original concentration and current concentration of antibiotics are directly related to the treatment effect, and the evaporation amount can affect the overall capacity of the water body and the change of antibiotic concentration. The comprehensive acquisition of these basic information is helpful for accurate prediction and evaluation of the behavior of antibiotics in water bodies.

[0030] Through a variety of detection units, the system comprehensively covers water quality parameters, biological parameters and environmental parameters, improves the ability to accurately assess water conditions, and can promptly detect and respond to water quality and ecological problems.

[0031] See also Figure 1 The data processing module 2 removes duplicate data, fills in missing data, and standardizes the data, and reorganizes the data collected by the data collection module 1 into a first data set, a second data set, and a third data set; The first data set includes: chemical oxygen demand HXY, biological toxicity SWD, dissolved oxygen RJY and microbial degradation enzyme activity WJM; The second data set includes: initial microbial relative abundance CWS, real-time microbial relative abundance SWS, original antibiotic concentration YKS, and current antibiotic concentration SKS; The third data set includes: water flow rate SLS and evaporation amount ZFL.

[0032] In this embodiment: data deduplication ensures the consistency and accuracy of the data and eliminates the interference of duplicate data on the analysis results. This step improves the reliability of the data, makes subsequent analysis and calculation more accurate, and avoids deviations and misjudgments caused by duplicate data.

[0033] This module effectively solves the problem of incomplete data by deleting and filling missing data. It deletes irrecoverable missing data to prevent it from having a negative impact on the analysis results; at the same time, through reasonable filling strategies such as mean filling and interpolation, it restores some missing data to ensure the integrity and continuity of the data set. This processing method improves the utilization rate of the data set and ensures the comprehensiveness and accuracy of the analysis results.

[0034] The data standardization step improves the comparability of data by converting data of different scales to the same scale. This is crucial for multi-parameter comprehensive analysis, because the standardized data can eliminate the influence of dimension, so that data of different indicators can be compared and analyzed under the same framework, ensuring the scientificity and rationality of the results.

[0035] By reorganizing the data into three data sets, the system can conduct targeted analysis on different types of data. The first data set, chemical oxygen demand HXY, biological toxicity SWD, dissolved oxygen RJY, and microbial degradation enzyme activity WJM, covers the key indicators of water quality and biodegradability, and can comprehensively evaluate the water quality and antibiotic treatment effects; the second data set, initial microbial relative abundance CWS, real-time microbial relative abundance SWS, original antibiotic concentration YKS, and current antibiotic concentration SKS, focuses on the interaction between microorganisms and antibiotics, and provides dynamic change information during the treatment process; the third data set, water flow velocity SLS and evaporation ZFL, reflects the basic information of the water environment, and provides important parameters for the diffusion and dilution of antibiotics.

[0036] See also Figure 1 , the calculation module 3 obtains the abnormal value by calculating through the following formula; Wherein: S1 is the first stage value, S2 is the second stage value, S3 is the third stage value, e is the base function, KS is the dilution rate, T is the detection time interval, a1, a2 and a3 are weight values, and the specific values ​​of a1, a2 and a3 are adjusted and set by the user. The first stage value S1, the second stage value S2, the third stage value S3 and the dilution rate KS are obtained by integrating and calculating the first data set, the second data set and the third data set, respectively.

[0037] The calculation module 3 calculates and obtains the first stage value S1, the second stage value S2, the third stage value S3 and the dilution rate KS through the following formulas respectively; Where: HXY is chemical oxygen demand, SWD is biological toxicity, RJY is dissolved oxygen, WJM is microbial degradation enzyme activity, CWS is initial microbial relative abundance, SWS is real-time microbial relative abundance, YKS is the original concentration of antibiotics, SKS is the current concentration of antibiotics, SLS is the water flow rate, ZFL is the evaporation, e is the base function, ln is the logarithmic function, b1, b2, b3, c1, c2, d1 and d2 are weight values, and the values ​​of b1, b2, b3, c1, c2, d1 and d2 are adjusted by the user. In this embodiment: the calculation module 3 can comprehensively process multiple parameters, including chemical oxygen demand, biological toxicity, dissolved oxygen, microbial degradation enzyme activity, etc. Different types of data are integrated into a comprehensive abnormal value, which helps to comprehensively evaluate the treatment effect of antibiotics in water areas. This multi-dimensional data integration method enables the system to more accurately reflect the complex situation in the actual water environment.

[0038] By introducing dynamic calculation of dilution rate, the formula can reflect the diffusion and dilution of antibiotics in water in real time. This method is more flexible and accurate than static model, which helps to cope with the influence of water flow changes and external environment on antibiotic concentration, and improves the real-time response capability of the system.

[0039] Users can adjust the weight of each parameter according to specific circumstances, so that the system can be flexibly configured for different environments and needs. This design enhances the adaptability and operability of the system and ensures the scientificity and rationality of the evaluation results.

[0040] The calculation of staged values ​​enables the system to independently analyze data from different data segments, which helps to discover and track changes in different stages of the antibiotic treatment process. This refined analysis method makes problem identification faster and more accurate, and is conducive to timely implementation of appropriate treatment measures.

[0041] This system significantly improves the accuracy and flexibility of data processing and analysis by integrating multi-dimensional data, dynamic dilution rate, flexible weight adjustment and phased data calculation. Compared with the traditional single-dimensional, static model, the system can more comprehensively and real-timely reflect the spread and treatment of antibiotics in waters, ensuring the safety of water quality and ecological environment. This improvement not only improves the response speed and accuracy of the system.

[0042] See also Figure 1 The data analysis module 4 includes a first analysis unit 41 and a second analysis unit 42. The first analysis unit 41 is used to generate a first comparison result, and the second analysis unit 42 is used to generate a second comparison result.

[0043] The first comparison results are as follows: when When , it means that the current antibiotic treatment is in a reasonable state; when When , it means that the current antibiotic treatment is in an abnormal state; Where YCZ is the outlier and Y is the first threshold.

[0044] The abnormal difference coefficient is calculated by the following formula: Where: YCZ is the outlier, Y is the first threshold The second comparison results are as follows: when When , it means that the current antibiotic treatment is in the first level abnormal state; when When , it means that the current antibiotic treatment is in the secondary abnormal state; when , it means that the current antibiotic treatment is in the third level abnormal state.

[0045] The execution module 5 has preset alarm measures, which are as follows: If the antibiotic treatment in the current water area is in the first level abnormal state, the alarm light will be white, flashing once every 3 seconds, the terminal will display white characters starting with YJ, and the alarm sound will be 40% of the maximum value; If the antibiotic treatment in the current water area is in the secondary abnormal state, the alarm light will be yellow, flashing once every 1 second, the terminal will display white characters starting with RJ, and the alarm tone will be 60% of the maximum value; If the antibiotic treatment in the current water area is in the third level abnormal state; the alarm light is red, the flashing interval is once every 0.5 seconds, the terminal display is white characters starting with SJ, and the alarm tone is 100% of the maximum value In this embodiment: the data analysis module 4 includes a first analysis unit 41 and a second analysis unit 42, which respectively generate a first comparison result and a second comparison result. This design enables the system to perform multi-level analysis and comparison on the effect of antibiotic treatment, providing more detailed and accurate evaluation results, and ensuring real-time monitoring and management of the water environment.

[0046] Through the first comparison result, when the abnormal value YCZ is less than or equal to the threshold value Y, the system determines that the antibiotic treatment is in a reasonable state; when YCZ is greater than Y, the system determines that the antibiotic treatment is in an abnormal state. This clear judgment standard helps to quickly identify problems in the treatment process and take timely measures, which improves the response speed and accuracy of the system.

[0047] Based on the second comparison result, the system divides the abnormal state into three levels: when YCC is less than R, it is a level one abnormal state; when YCC is equal to R, it is a level two abnormal state; when YCC is greater than R, it is a level three abnormal state. This grading mechanism enables the system to take different treatment measures according to the degree of abnormality, improving the pertinence and effectiveness of problem handling.

[0048] The system can realize multi-level data analysis, clear abnormal state determination, precise abnormal difference calculation, graded abnormal state identification and intelligent alarm system. These improvements not only improve the accuracy and response speed of the system, but also enhance the safety and reliability of the system, which helps to monitor and optimize the antibiotic treatment process in water areas in real time and ensure the safety of water quality and ecological environment.

[0049] Data example: The first data set: chemical oxygen demand HXY: 8; biological toxicity SWD: 0.6; dissolved oxygen RJY: 7; microbial degradation enzyme activity WJM: 3; The second data set: initial microbial relative abundance CWS: 35%; real-time microbial relative abundance SWS: 30%; original antibiotic concentration YKS: 250; current antibiotic concentration SKS: 200; The third data set: water flow rate SLS: 0.8; evaporation ZFL: 1.5; S1=6.18; S2=116.5; S3=0.85; KS=1; YCZ=100; Y=100; a1=0.5; a2=0.3; a3=0.2; , it means that the current antibiotic treatment is in a reasonable state.

[0050] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-criteria evaluation system for antibiotic treatment methods, characterized by: It comprises a data acquisition module (1), a data processing module (2), a calculation module (3), a data analysis module (4), an execution module (5) and a feedback module (6); The data collection module (1) is used to collect multiple types of data on the current water area and input the collected data information into the data processing module (2); The data processing module (2) is used to pre-process the multi-source data collected by the data collection module (1), thereby generating a first data set, a second data set and a third data set; The calculation module (3) is used to perform integrated calculation on the first data set, the second data set and the third data set, so as to generate an outlier; The data analysis module (4) is used to compare the abnormal value with a preset first threshold value Y to generate a first comparison result, and judge whether the antibiotics in the current water area are reasonable based on the first comparison result. If it is unreasonable, the abnormal value and the first threshold value Y are integrated and calculated to generate an abnormal difference coefficient, and then the abnormal difference coefficient is compared with a preset second threshold value R to generate a second comparison result; The execution module (5) executes preset alarm measures and alarm information according to the second comparison result; The feedback module (6) is used to feed back the alarm information to the device terminal.

2. The multi-criteria evaluation system for antibiotic treatment methods according to claim 1, characterized in that: The data acquisition module (1) comprises a water quality detection unit (11), a biological detection unit (12) and a basic information detection unit (13); The water quality detection unit (11) is used to detect the water quality of the current water area and obtain water quality parameters, including: chemical oxygen demand HXY, biological toxicity SWD and dissolved oxygen RJY; The biological detection unit (12) is used to detect the biological characteristics of the current water area and obtain biological parameters, including: initial microbial relative abundance CWS, real-time microbial relative abundance SWS and microbial degradation enzyme activity WJM; The basic information detection unit (13) is used to obtain basic information about the current water area and antibiotics, including: water flow rate SLS, original antibiotic concentration YKS, evaporation volume ZFL and current antibiotic concentration SKS.

3. The multi-criteria evaluation system for antibiotic treatment methods according to claim 2, characterized in that: The data processing module (2) removes duplicate data, deletes and fills in missing data, and standardizes the data, thereby reorganizing the data collected by the data collection module (1) into a first data set, a second data set, and a third data set; The first data set includes: chemical oxygen demand HXY, biological toxicity SWD, dissolved oxygen RJY and microbial degradation enzyme activity WJM; The second data set includes: initial microbial relative abundance CWS, real-time microbial relative abundance SWS, original antibiotic concentration YKS, and current antibiotic concentration SKS; The third data set includes: water flow rate SLS and evaporation amount ZFL.

4. The multi-criteria evaluation system for antibiotic treatment methods according to claim 3, characterized in that: The calculation module (3) calculates and obtains the abnormal value through the following formula; Wherein: S1 is the first stage value, S2 is the second stage value, S3 is the third stage value, e is the base function, KS is the dilution rate, T is the detection time interval, a1, a2 and a3 are weight values, and the specific values ​​of a1, a2 and a3 are adjusted and set by the user. The first stage value S1, the second stage value S2, the third stage value S3 and the dilution rate KS are obtained by integrating and calculating the first data set, the second data set and the third data set, respectively.

5. The multi-criteria evaluation system for antibiotic treatment methods according to claim 4, characterized in that: The calculation module (3) calculates and obtains the first stage value S1, the second stage value S2, the third stage value S3 and the dilution rate KS respectively through the following formulas; Wherein: HXY is chemical oxygen demand, SWD is biological toxicity, RJY is dissolved oxygen, WJM is microbial degradation enzyme activity, CWS is initial microbial relative abundance, SWS is real-time microbial relative abundance, YKS is original antibiotic concentration, SKS is current antibiotic concentration, SLS is water flow rate, ZFL is evaporation, e is base function, ln is logarithmic function, b1, b2, b3, c1, c2, d1 and d2 are weight values, and the values ​​of b1, b2, b3, c1, c2, d1 and d2 are adjusted and set by users.

6. The multi-criteria evaluation system for antibiotic treatment methods according to claim 5, characterized in that: The data analysis module (4) comprises a first analysis unit (41) and a second analysis unit (42); the first analysis unit (41) is used to generate a first comparison result, and the second analysis unit (42) is used to generate a second comparison result.

7. The multi-criteria evaluation system for antibiotic treatment methods according to claim 6, characterized in that: The first comparison results are as follows: when When , it means that the current antibiotic treatment is in a reasonable state; when When , it means that the current antibiotic treatment is in an abnormal state; Where YCZ is the outlier and Y is the first threshold.

8. The multi-criteria evaluation system for antibiotic treatment methods according to claim 7, characterized in that: The abnormal difference coefficient is calculated by the following formula: Where: YCZ is the outlier, and Y is the first threshold.

9. The multi-criteria evaluation system for antibiotic treatment methods according to claim 8, characterized in that: The second comparison results are as follows: when When , it means that the current antibiotic treatment is in the first level abnormal state; when When , it means that the current antibiotic treatment is in the secondary abnormal state; when , it means that the current antibiotic treatment is in the third level abnormal state.

10. The multi-criteria evaluation system for antibiotic treatment methods according to claim 9, characterized in that: The execution module (5) has preset alarm measures, and the specific alarm measures are as follows: If the antibiotic treatment in the current water area is in the first level abnormal state, the alarm light will be white, flashing once every 3 seconds, the terminal will display white characters starting with YJ, and the alarm tone will be 40% of the maximum value; If the antibiotic treatment in the current water area is in the secondary abnormal state, the alarm light will be yellow, flashing once every 1 second, the terminal will display white characters starting with RJ, and the alarm tone will be 60% of the maximum value; If the antibiotic treatment in the current water area is in the third level abnormal state, the alarm light is red, flashing every 0.5 seconds, the terminal display is white characters starting with SJ, and the alarm tone is 100% of the maximum value.

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