An environmentally friendly method and system for real-time sampling of water quality in industrial workshops

Abstract

The present invention discloses an environmentally friendly method and system for real-time sampling of water quality in industrial workshops, including building an edge computing gateway remote water quality assessment cycle, obtaining the corresponding water quality abnormality time in the water quality change range data of each unit time; respectively evaluating and warning the cross-monitoring water quality automatic samplers at different water quality abnormality times, identifying and acquiring the target water quality automatic sampler according to the production impact correlation corresponding to the different water quality abnormality times; according to the operating status data presented by each target water quality automatic sampler, setting the target water quality automatic sampler with monitoring data analysis risk as a harmful substance assessment water quality automatic sampler; respectively evaluating and warning the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler when assessing the hazard of abnormal organic matter content; the present invention improves the flexibility and maneuverability of the industrial workshop monitoring process, while reducing labor costs and improving the water quality detection efficiency of the industrial workshop.

Description

Technical Field

[0001] The present invention relates to the field of industrial environmental protection monitoring, and in particular to an environmental protection method and system for real-time sampling of water quality in industrial workshops. Background Art

[0002] The water quality of industrial workshops refers to the wastewater or waste liquid generated during the production process of the workshop, which contains production waste that is lost with the water in the workshop. Therefore, the substances contained in the water quality of the workshop are of various types and the composition is relatively complex. It may also contain toxic substances, which can easily cause environmental pollution and affect people's health.

[0003] When using existing industrial wastewater sampling equipment or systems, sampling personnel will place the sampling bucket directly into the industrial wastewater. Due to the sampling bucket's own gravity, the bottom of the sampling bucket will come into contact with the industrial wastewater. The sampling personnel need to swing the sampling bucket multiple times to pour the industrial wastewater into the sampling bucket. The operation is relatively complicated, the labor cost is high, and the detection result has a large error. Therefore, the present application provides an environmentally friendly method and system for real-time sampling of water quality in industrial workshops to meet the use needs. Summary of the invention

[0004] The purpose of the present invention is to provide an environmentally friendly method and system for real-time sampling of water quality in industrial workshops to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an environmentally friendly method for real-time sampling of water quality in industrial workshops, the method comprising:

[0006] A1: Set up water quality automatic samplers at each monitoring control point in the industrial workshop, and build a remote water quality assessment cycle of the edge computing gateway; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway will use the monitoring data at the corresponding monitoring control points to analyze the data using the hypergraph neural network model; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway are equipped with a database. When different water quality automatic samplers fail, the information in the database is read manually;

[0007] A2: Retrieve all the unit time water quality change range data of the industrial workshop, and obtain the corresponding water quality abnormality time in each unit time water quality change range data; use the edge computing gateway to judge the water quality abnormality results in each unit time water quality change range data, and obtain the water quality sampling table; evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormality times, and identify and obtain the target water quality automatic samplers according to the production impact correlation corresponding to different water quality abnormality times;

[0008] A3: Perform human-machine interactive control on the operating status of workshop equipment corresponding to different water quality automatic samplers, and store data on the human-machine interactive control interface per unit time of different water quality automatic samplers; retrieve the human-machine interactive control interface per unit time of each target water quality automatic sampler, and set the target water quality automatic sampler with monitoring data analysis risk as a harmful substance assessment water quality automatic sampler according to the operating status data presented by each target water quality automatic sampler; evaluate and warn the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler during the abnormal hazard assessment of organic matter content;

[0009] A4: Engineers monitor the operating status of each automatic sampler for hazardous substance assessment of water quality, and optimize the analysis method of each automatic sampler for hazardous substance assessment of water quality according to the operating status of the hazardous substance assessment parameters of each automatic sampler for hazardous substance assessment of water quality.

[0010] Preferably, A2 includes: let the water quality abnormality moment occurring in the water quality change range data corresponding to a certain unit time be A, and the water quality sampling table obtained by all monitoring data retrieved by the edge computing gateway in the process of judging the existence of the water quality abnormality moment Ts in the current industrial workshop be H; let the water quality sampling table corresponding to the x-th monitoring control point be N, if the water quality sampling table N is judged to be the cross-water quality sampling table of the water quality abnormality moment Ts; if the water quality automatic sampler set responsible for data analysis of the water quality sampling table N of the x-th monitoring control point is R, different water quality automatic samplers in the water quality automatic sampler set R are set as cross-monitoring water quality automatic samplers of the water quality abnormality moment Ts;

[0011] The above-mentioned process of retrieving the water quality sampling table is the process of retrieving the data used by the edge computing gateway in judging and making the corresponding conclusion of water quality anomaly. The main feature of monitoring of industrial workshops such as rivers and ditches is that the monitoring control points are distributed in a continuous long-distance belt. In the process of evaluating the hazard of water quality anomalies, the edge computing gateway often needs to retrieve the monitoring data of multiple monitoring control points for comprehensive hazard assessment. The above-mentioned water quality sampling table is a data set that needs to be referenced when judging whether there is a certain water quality anomaly.

[0012] According to the data of water quality change range per unit time, the production impact correlation is calculated for different water quality abnormal moments, and the production impact correlation is calculated using the Pearson coefficient. The water quality abnormal moment with production impact correlation greater than the threshold is set as the target abnormal moment, and the cross-monitoring water quality automatic sampler corresponding to each target abnormal moment is set as the target water quality automatic sampler.

[0013] Preferably, the unit time water quality change range data for wastewater discharge locations that need to be monitored for abnormalities in industrial workshops and the monitoring schemes adopted for each wastewater discharge location that needs to be monitored for abnormalities are all identical, as the unit time water quality change range data at the moment when the same type of water quality abnormality occurs.

[0014] Preferably, A3 includes: obtaining, in the unit time human-computer interaction control interface of each target water quality automatic sampler, the minimum hazard assessment result PM from the beginning of the abnormal organic matter content index of each target water quality automatic sampler to the determination of the abnormal organic matter content in each target water quality automatic sampler;

[0015] When PM exceeds the preset parameters, the target water quality automatic sampler is judged as a target water quality automatic sampler with monitoring data analysis risk, and is set as a harmful substance assessment water quality automatic sampler; and each organic matter content index referenced when evaluating the abnormal hazard of organic matter content in each harmful substance assessment water quality automatic sampler is obtained respectively;

[0016] In the unit time work records of each automatic water quality sampler for hazardous substance assessment, a set of abnormal organic content index items appearing each time an abnormal organic content occurs is extracted, and the abnormal characteristic frequency is calculated for each organic content index respectively; the organic content index item with the largest abnormal characteristic frequency is set as the hazardous substance assessment parameter corresponding to each automatic water quality sampler for hazardous substance assessment.

[0017] Preferably, A4 includes: extracting features from the human-computer interaction real-time control interface corresponding to each automatic sampler for evaluating water quality of harmful substances, and engineers focus on it, and at the same time extracting features from the harmful substance evaluation parameters in the human-computer interaction real-time control interface corresponding to each automatic sampler for evaluating water quality of harmful substances;

[0018] Whenever the first abnormal organic matter content indicator appears in the human-computer interaction real-time control interface corresponding to each harmful substance assessment water quality automatic sampler, feedback is given to conduct data hazard assessment on the harmful substance assessment parameters. If the harmful substance assessment parameters show abnormalities, each harmful substance assessment water quality automatic sampler is controlled to remotely connect to the database from the edge computing gateway.

[0019] In order to better implement the above method, an environmental protection system for real-time sampling of water quality in industrial workshops is also proposed. The system includes an edge computing gateway management module, a water quality abnormality information management module, a target water quality automatic sampler identification and acquisition module, a harmful substance assessment water quality automatic sampler information management module, and an analysis method optimization module;

[0020] The edge computing gateway management module is used to set up water quality automatic samplers at each monitoring control point in the industrial workshop, and the spacing between each two adjacent water quality automatic samplers is smaller than the coverage range of a single water quality automatic sampler; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway will use the hypergraph neural network model to perform data analysis on the corresponding monitoring data at the monitoring control point; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway are equipped with a database, and when different water quality automatic samplers fail, the information in the database is read manually;

[0021] The water quality abnormality moment information management module is used to retrieve all the unit time water quality change range data of the industrial workshop, and obtain the corresponding water quality abnormality time in each unit time water quality change range data; in each unit time water quality change range data, the edge computing gateway is used to judge the water quality abnormality results and obtain the water quality sampling table;

[0022] The target water quality automatic sampler identification and acquisition module is used to evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormal moments, and identify and acquire the target water quality automatic samplers according to the production impact correlation corresponding to different water quality abnormal moments;

[0023] The information management module of the automatic water sampler for hazardous substance assessment is used to perform human-machine interactive control on the operating status of the workshop equipment corresponding to different automatic water samplers, and store data on the human-machine interactive control interface per unit time of different automatic water samplers; to retrieve the human-machine interactive control interface per unit time of each target automatic water sampler, and to set the target automatic water sampler with monitoring data analysis risk as the automatic water sampler for hazardous substance assessment according to the operating status data presented by each target automatic water sampler; to evaluate and warn the hazardous substance assessment parameters of each automatic water sampler for hazardous substance assessment when assessing the hazard of abnormal organic matter content;

[0024] The analysis method optimization module is used by engineers to monitor the operating status of workshop equipment for each automatic sampler for harmful substance assessment of water quality, and to optimize the analysis method of each automatic sampler for harmful substance assessment of water quality from time to time according to the operating status of the harmful substance assessment parameters of each automatic sampler for harmful substance assessment of water quality.

[0025] Preferably, the target water quality automatic sampler identification and acquisition module includes a cross-monitoring water quality automatic sampler evaluation and early warning unit and a target water quality automatic sampler identification unit;

[0026] The cross-monitoring water quality automatic sampler evaluation and early warning unit is used to receive data from the water quality abnormality information management module and evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormality moments;

[0027] The target water quality automatic sampler identification unit is used to receive data from the cross-monitoring water quality automatic sampler evaluation and early warning unit, calculate the production impact correlation for different water quality abnormal moments, and obtain the target water quality automatic sampler.

[0028] Preferably, the harmful substance assessment water quality automatic sampler information management module includes a harmful substance assessment water quality automatic sampler identification unit and a harmful substance assessment parameter judgment management unit;

[0029] The harmful substance assessment water quality automatic sampler identification unit is used to call the unit time human-computer interaction control interface of each target water quality automatic sampler respectively, and according to the operation status data presented by each target water quality automatic sampler, set the target water quality automatic sampler with monitoring data analysis risk as the harmful substance assessment water quality automatic sampler;

[0030] The harmful substance assessment parameter judgment management unit is used to receive data from the harmful substance assessment water quality automatic sampler identification unit, and to evaluate and warn the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler when evaluating the hazard of abnormal organic matter content.

[0031] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention obtains and identifies the relatively frequent moments of abnormal water quality during operation and maintenance monitoring of industrial workshops, thereby obtaining cross-monitoring water quality automatic samplers corresponding to the above-mentioned abnormal water quality moments that need to be monitored, and extracts them as target water quality automatic samplers; when each harmful substance assessment water quality automatic sampler identifies an abnormal organic matter content phenomenon, it often presents an abnormal organic matter content indicator, and according to the operation status of the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler, the analysis mode of each harmful substance assessment water quality automatic sampler is optimized from time to time, ultimately reducing the missed hazard assessment rate or delayed hazard assessment rate of the abnormal water quality moments related to the harmful substance assessment water quality automatic sampler, improving the flexibility and maneuverability in the monitoring process of industrial workshops, while reducing labor costs, and combining graph neural networks for data training to improve water quality detection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1It is a schematic flow chart of an environmentally friendly method for real-time sampling of water quality in industrial workshops according to the present invention;

[0034] Figure 2 It is a schematic diagram of the module composition of an environmental protection system for real-time sampling of water quality in industrial workshops according to the present invention. DETAILED DESCRIPTION

[0035] 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. According to 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.

[0036] like Figure 1 As shown, the present invention provides a technical solution: an environmentally friendly method for real-time sampling of water quality in industrial workshops, the method comprising:

[0037] A1: Set up water quality automatic samplers at each monitoring control point in the industrial workshop, and build a remote water quality assessment cycle of the edge computing gateway; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway will use the monitoring data at the corresponding monitoring control points to analyze the data using the hypergraph neural network model; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway are equipped with a database. When different water quality automatic samplers fail, the information in the database is read manually;

[0038] A2: Retrieve all the unit time water quality change range data of the industrial workshop, and obtain the corresponding water quality abnormality time in each unit time water quality change range data; use the edge computing gateway to judge the water quality abnormality results in each unit time water quality change range data, and obtain the water quality sampling table; evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormality times, and identify and obtain the target water quality automatic samplers according to the production impact correlation corresponding to different water quality abnormality times;

[0039] Among them, A2 includes: let the water quality abnormality moment that occurs in the water quality change range data of a certain unit time be A, and the water quality sampling table obtained by all monitoring data retrieved by the edge computing gateway in the process of judging the existence of water quality abnormality moment Ts in the current industrial workshop be H; let the water quality sampling table corresponding to the x-th monitoring control point be N, if the water quality sampling table N is judged to be the cross-water quality sampling table of the water quality abnormality moment Ts; if the water quality automatic sampler set responsible for data analysis of the water quality sampling table N of the x-th monitoring control point is R, set different water quality automatic samplers in the water quality automatic sampler set R as cross-monitoring water quality automatic samplers of the water quality abnormality moment Ts;

[0040] According to the data of water quality variation range per unit time, the production impact correlation of different water quality abnormal moments is calculated, and the production impact correlation is calculated using the Pearson coefficient; the water quality abnormal moment with production impact correlation greater than the threshold is set as the target abnormal moment, and the cross-monitoring water quality automatic sampler corresponding to each target abnormal moment is set as the target water quality automatic sampler;

[0041] Among them, the unit time water quality change range data for the wastewater discharge locations that need to be monitored for abnormalities in industrial workshops and the monitoring plans adopted for each wastewater discharge location that needs to be monitored for abnormalities are all the same, which shall be regarded as the unit time water quality change range data at the time when the same type of water quality abnormality occurs;

[0042] A3: Perform human-machine interactive control on the operating status of workshop equipment corresponding to different water quality automatic samplers, and store data on the human-machine interactive control interface per unit time of different water quality automatic samplers; retrieve the human-machine interactive control interface per unit time of each target water quality automatic sampler, and set the target water quality automatic sampler with monitoring data analysis risk as a harmful substance assessment water quality automatic sampler according to the operating status data presented by each target water quality automatic sampler; evaluate and warn the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler during the abnormal hazard assessment of organic matter content;

[0043] A3 includes: obtaining the minimum hazard assessment result PM from the beginning of the abnormal organic matter content index of each target water quality automatic sampler to the determination of the abnormal organic matter content in each target water quality automatic sampler in the unit time human-computer interaction control interface of each target water quality automatic sampler;

[0044] When PM exceeds the preset parameters, the target water quality automatic sampler is judged as a target water quality automatic sampler with monitoring data analysis risk, and is set as a harmful substance assessment water quality automatic sampler; and each organic matter content index referenced when evaluating the abnormal hazard of organic matter content in each harmful substance assessment water quality automatic sampler is obtained respectively;

[0045] In the unit time work records of each harmful substance assessment water quality automatic sampler, a set of abnormal organic matter content index items appearing when each abnormal organic matter content occurs is extracted, and the abnormal characteristic frequency is calculated for each organic matter content index; the organic matter content index item with the largest abnormal characteristic frequency is set as the harmful substance assessment parameter corresponding to each harmful substance assessment water quality automatic sampler;

[0046] A4: Engineers monitor the operating status of each automatic water quality sampler for hazardous substance assessment, and optimize the analysis method of each automatic water quality sampler for hazardous substance assessment according to the operating status of the hazardous substance assessment parameters of each automatic water quality sampler for hazardous substance assessment;

[0047] Among them, A4 includes: extracting features from the human-computer interaction real-time control interface corresponding to each harmful substance assessment water quality automatic sampler, which engineers focus on, and extracting features from the harmful substance assessment parameters in the human-computer interaction real-time control interface corresponding to each harmful substance assessment water quality automatic sampler;

[0048] Whenever the first abnormal organic matter content indicator is obtained in the human-computer interaction real-time control interface corresponding to each harmful substance assessment water quality automatic sampler, feedback is given to conduct data hazard assessment on the harmful substance assessment parameters. If the harmful substance assessment parameters show abnormalities, each harmful substance assessment water quality automatic sampler is controlled to remotely connect to the database from the edge computing gateway;

[0049] like Figure 2 As shown, in order to better implement the above method, an environmental protection system for real-time sampling of water quality in industrial workshops is also proposed. The system includes an edge computing gateway management module, a water quality abnormality information management module, a target water quality automatic sampler identification and acquisition module, a harmful substance assessment water quality automatic sampler information management module, and an analysis method optimization module;

[0050] The edge computing gateway management module is used to set up water quality automatic samplers at each monitoring control point in the industrial workshop, and the spacing between each two adjacent water quality automatic samplers is smaller than the coverage range of a single water quality automatic sampler; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway will use the hypergraph neural network model to perform data analysis on the corresponding monitoring data at the monitoring control point; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway are equipped with a database, and when different water quality automatic samplers fail, the information in the database is read manually;

[0051] The water quality abnormality moment information management module is used to retrieve all the unit time water quality change range data of the industrial workshop, and obtain the corresponding water quality abnormality time in each unit time water quality change range data; in each unit time water quality change range data, the edge computing gateway is used to judge the water quality abnormality results and obtain the water quality sampling table;

[0052] The target water quality automatic sampler identification and acquisition module is used to evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormal moments, and identify and acquire the target water quality automatic samplers according to the production impact correlation corresponding to different water quality abnormal moments;

[0053] Among them, the target water quality automatic sampler identification and acquisition module includes a cross-monitoring water quality automatic sampler evaluation and early warning unit and a target water quality automatic sampler identification unit;

[0054] The cross-monitoring water quality automatic sampler evaluation and early warning unit is used to receive data from the water quality abnormality information management module and evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormality moments;

[0055] The target water quality automatic sampler identification unit is used to receive the data in the cross-monitoring water quality automatic sampler evaluation and early warning unit, calculate the production impact correlation at different water quality abnormal moments, and obtain the target water quality automatic sampler;

[0056] The information management module of the automatic water sampler for hazardous substance assessment is used to perform human-machine interactive control on the operating status of the workshop equipment corresponding to different automatic water samplers, and store data on the human-machine interactive control interface per unit time of different automatic water samplers; to retrieve the human-machine interactive control interface per unit time of each target automatic water sampler, and to set the target automatic water sampler with monitoring data analysis risk as the automatic water sampler for hazardous substance assessment according to the operating status data presented by each target automatic water sampler; to evaluate and warn the hazardous substance assessment parameters of each automatic water sampler for hazardous substance assessment when assessing the hazard of abnormal organic matter content;

[0057] Among them, the harmful substance assessment water quality automatic sampler information management module includes a harmful substance assessment water quality automatic sampler identification unit and a harmful substance assessment parameter judgment management unit;

[0058] The harmful substance assessment water quality automatic sampler identification unit is used to call the unit time human-computer interaction control interface of each target water quality automatic sampler respectively, and according to the operation status data presented by each target water quality automatic sampler, set the target water quality automatic sampler with monitoring data analysis risk as the harmful substance assessment water quality automatic sampler;

[0059] The harmful substance assessment parameter judgment management unit is used to receive data from the harmful substance assessment water quality automatic sampler identification unit, and respectively evaluate and warn the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler when evaluating the abnormal hazard of organic matter content;

[0060] The analysis method optimization module is used by engineers to monitor the operating status of workshop equipment for each automatic sampler for harmful substance assessment of water quality, and to optimize the analysis method of each automatic sampler for harmful substance assessment of water quality from time to time according to the operating status of the harmful substance assessment parameters of each automatic sampler for harmful substance assessment of water quality.

[0061] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0062] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An environmentally friendly method for real-time sampling of water quality in industrial workshops, characterized in that: The method comprises: A1: Set up water quality automatic samplers at each monitoring control point in the industrial workshop, and build a remote water quality assessment cycle of the edge computing gateway; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway will use the monitoring data at the corresponding monitoring control points to perform data analysis using the hypergraph neural network model; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway are equipped with a database, and when different water quality automatic samplers fail, the information in the database is read manually; A2: Retrieve all the unit time water quality change range data of the industrial workshop, and obtain the corresponding water quality abnormality time in each unit time water quality change range data; use the edge computing gateway to judge the water quality abnormality results in each unit time water quality change range data, and obtain the water quality sampling table; evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormality times, and identify and obtain the target water quality automatic samplers according to the production impact correlation corresponding to different water quality abnormality times; According to the data of water quality variation range per unit time, the production impact correlation of different water quality abnormal moments is calculated, and the production impact correlation is calculated using the Pearson coefficient; the water quality abnormal moment with production impact correlation greater than the threshold is set as the target abnormal moment, and the cross-monitoring water quality automatic sampler corresponding to each target abnormal moment is set as the target water quality automatic sampler; The unit time water quality variation range data for the wastewater discharge locations that need to be monitored for abnormalities in industrial workshops and the monitoring schemes adopted for each wastewater discharge location that needs to be monitored for abnormalities are deemed to be the unit time water quality variation range data at the time when the same type of water quality abnormality occurs; A3: Perform human-machine interactive control on the operation status of workshop equipment corresponding to different water quality automatic samplers, and store data on the human-machine interactive control interface per unit time of different water quality automatic samplers; retrieve the human-machine interactive control interface per unit time of each target water quality automatic sampler, and set the target water quality automatic sampler with monitoring data analysis risk as the harmful substance assessment water quality automatic sampler according to the operation status data presented by each target water quality automatic sampler; evaluate and warn the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler when assessing the hazard of abnormal organic matter content; A3 includes: In the unit time human-computer interaction control interface of each target water quality automatic sampler, respectively, the minimum hazard assessment result PM from the beginning of the abnormal organic matter content index of each target water quality automatic sampler to the determination that the organic matter content in each target water quality automatic sampler is abnormal is obtained; When PM exceeds the preset parameters, the target water quality automatic sampler is judged as a target water quality automatic sampler with monitoring data analysis risk, and is set as a harmful substance assessment water quality automatic sampler; and each organic matter content index referenced when evaluating the abnormal hazard of organic matter content in each harmful substance assessment water quality automatic sampler is obtained respectively; A4: Engineers monitor the operation status of each automatic sampler for water quality assessment of harmful substances in the workshop, and optimize the analysis method of each automatic sampler for water quality assessment of harmful substances according to the operation status of the harmful substance assessment parameters of each automatic sampler for water quality assessment of harmful substances; A4 includes: The engineers focused on extracting features from the human-computer interaction real-time control interface corresponding to each automatic sampler for water quality assessment of harmful substances, and at the same time extracted features from the harmful substance assessment parameters in the human-computer interaction real-time control interface corresponding to each automatic sampler for water quality assessment of harmful substances; Whenever the first abnormal organic matter content indicator is obtained in the human-computer interaction real-time control interface corresponding to each harmful substance assessment water quality automatic sampler, feedback is given to perform data hazard assessment on the harmful substance assessment parameters. If the harmful substance assessment parameters show abnormalities, each harmful substance assessment water quality automatic sampler is controlled to remotely connect to the database from the edge computing gateway.

2. The system corresponding to the environmental protection method for real-time sampling of water quality in industrial workshops as claimed in claim 1 is characterized in that: The system includes an edge computing gateway management module, a water quality abnormality moment information management module, a target water quality automatic sampler identification acquisition module, a harmful substance assessment water quality automatic sampler information management module, and an analysis method optimization module; The edge computing gateway management module is used to set up water quality automatic samplers for each monitoring control point in the industrial workshop, and the setting spacing between each two adjacent water quality automatic samplers is smaller than the coverage range of a single water quality automatic sampler; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway will use the hypergraph neural network model to perform data analysis on the corresponding monitoring data at the monitoring control points; different water quality automatic samplers in the remote water quality assessment cycle of the edge computing gateway are equipped with a database, and when different water quality automatic samplers fail, the information in the database is read manually; The water quality abnormal moment information management module is used to retrieve all unit time water quality change range data of the industrial workshop, and obtain the corresponding water quality abnormal moment in each unit time water quality change range data; in each unit time water quality change range data, the edge computing gateway is used to judge the water quality abnormality result, and obtain the water quality sampling table; The target water quality automatic sampler identification and acquisition module is used to evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormal moments, and identify and acquire the target water quality automatic samplers according to the production impact correlation corresponding to different water quality abnormal moments; The harmful substance assessment water quality automatic sampler information management module is used to perform human-computer interaction control on the operation status of workshop equipment corresponding to different water quality automatic samplers, and store data on the human-computer interaction control interface per unit time of different water quality automatic samplers; The unit time human-computer interaction control interface of each target water quality automatic sampler is retrieved respectively, and according to the operation status data presented by each target water quality automatic sampler, the target water quality automatic sampler with monitoring data analysis risk is set as a harmful substance assessment water quality automatic sampler; the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler are evaluated and warned when evaluating the hazard of abnormal organic matter content; The analysis method optimization module is used by engineers to monitor the operating status of workshop equipment for each automatic sampler for harmful substance assessment of water quality, and to optimize the analysis method of each automatic sampler for harmful substance assessment of water quality from time to time according to the operating status of the harmful substance assessment parameters of each automatic sampler for harmful substance assessment of water quality.

3. The environmental protection system for real-time sampling of water quality in industrial workshops according to claim 2 is characterized in that: The target water quality automatic sampler identification and acquisition module includes a cross-monitoring water quality automatic sampler evaluation and early warning unit and a target water quality automatic sampler identification unit; The cross-monitoring water quality automatic sampler evaluation and early warning unit is used to receive the data in the water quality abnormality moment information management module, and respectively evaluate and warn the cross-monitoring water quality automatic samplers at different water quality abnormality moments; The target water quality automatic sampler identification unit is used to receive data from the cross-monitoring water quality automatic sampler evaluation and early warning unit, calculate the production impact correlation for different water quality abnormal moments, and obtain the target water quality automatic sampler.

4. The environmental protection system for real-time sampling of water quality in industrial workshops according to claim 2 is characterized in that: The harmful substance assessment water quality automatic sampler information management module includes a harmful substance assessment water quality automatic sampler identification unit and a harmful substance assessment parameter judgment management unit; The harmful substance assessment water quality automatic sampler identification unit is used to call the unit time human-computer interaction control interface of each target water quality automatic sampler respectively, and set the target water quality automatic sampler with monitoring data analysis risk as the harmful substance assessment water quality automatic sampler according to the operating status data presented by each target water quality automatic sampler; The harmful substance assessment parameter judgment management unit is used to receive data from the harmful substance assessment water quality automatic sampler identification unit, and to evaluate and warn the harmful substance assessment parameters of each harmful substance assessment water quality automatic sampler when evaluating the hazard of abnormal organic matter content.

Images