Method and system for dynamic environmental protection control in steel enterprises

Abstract

The present invention provides a method and system for dynamic environmental protection control of steel enterprises, which accesses the server online site and communication gateway, builds AI video cameras, wireless communication networks and wired communication networks; obtains online data judgment results based on the emission standards implemented by each outlet, the enterprise's internal control standards and the current status of monitoring instruments, and performs over-standard early warning and alarm; according to the online data judgment results and the AI ​​video camera's captured image data, and conducts comprehensive research and judgment to obtain research and judgment results; according to the research and judgment results, automatically matches emergency plans through pollution diffusion models and preset environmental protection specifications; archives the research and judgment results and disposal processes of environmental events to form a ledger. When excessive emissions occur, the present invention provides timely warning information, and through the diffusion analysis model, deduces the scope of influence and trend, thereby starting the corresponding emergency plan, timely controlling the scope of pollution influence, and reducing the impact of pollution diffusion on the surrounding ecological environment.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental protection management and control in steel enterprises, and in particular to a method and system for dynamic environmental protection management and control in steel enterprises. Background Art

[0002] Steel companies are a major source of environmental pollution. Meeting government environmental management requirements for ultra-clean emissions from steel companies, enhancing their ability to rapidly handle environmental incidents, reducing or avoiding penalties and fines, and enhancing their social image are key priorities in corporate environmental management.

[0003] Therefore, it is urgent to establish an effective management mechanism for dynamic environmental protection control in enterprises, realize networked, intelligent and refined environmental management, and achieve the goals of green production and smart manufacturing.

[0004] Patent document CN206975486U (CN201720129189.3) discloses a new type of flue gas emission control system, which belongs to the flue gas emission control technology. The purpose is to research and develop scientific and effective flue gas emission control methods based on the actual characteristics of flue gas emissions to improve the effect of flue gas emission control. The key point is to study the problems existing in the existing flue gas emission supervision, use modern control and communication technologies, and innovatively adopt a method that combines flue gas emission monitoring, automatic control technology and modern communication technology to ensure that there are no blind spots in the flue gas emission control, so that illegal emissions are completely under the monitoring sight, and there are original trend curve records.

[0005] Comparison of key technical points: The basic data collection methods for emission monitoring and control systems are the same, with basic data collection used as the basis for data analysis to determine if there are any exceedances or anomalies. However, this system does not incorporate automatic video analysis technology, which uses AI-based automatic recognition models to automatically identify emission points and capture anomalies.

[0006] Patent document (CN201711017651.1) discloses an environmental protection management and control system, comprising: a monitoring device for obtaining enterprise pollution discharge data; a data acquisition instrument connected to the monitoring device to upload the data via the network; a monitoring server connected to the data acquisition instrument via the network to manage the enterprise pollution discharge data; the monitoring server is arranged in a server cabinet, the cabinet body of the server cabinet is a rectangular structure, the server cabinet includes a rectangular support plate, the upper wall of the rectangular support plate is welded to the cabinet body, the front wall of the cabinet body is hinged to the cover plate via a hinge, the front wall of the cover plate is welded to the handle, the upper wall of the cabinet body is welded to the rectangular shielding plate, and cylindrical cavities are connected on both sides of the cabinet body, and the bottom surface of the hollow interior of the cabinet body is welded to a rectangular box body.

[0007] Comparison of Key Technical Points: Both systems monitor and control data from data acquisition instruments, publishing data and any violations through application systems. However, the scope of basic data collection is too limited; operating parameters of environmental protection process facility control systems are not collected, nor is video monitoring of emission points. Data collection is also published publicly, but effective data organization, analysis, and analysis are not performed. There are no subsequent management measures or methods to promptly notify responsible individuals of environmental incidents, nor are remediation plans prepared in accordance with environmental protection requirements. A closed-loop management and control system has not been established. Summary of the Invention

[0008] In view of the defects in the prior art, the purpose of the present invention is to provide a method and system for dynamic environmental protection control of steel enterprises.

[0009] The method for dynamic environmental protection control of a steel enterprise provided by the present invention includes:

[0010] Data collection preparation steps: access the server online site, communication gateway, build AI video cameras, wireless communication network and wired communication network;

[0011] Data analysis and judgment steps: Based on the emission standards implemented by each outlet, the company's internal control standards and the current status of the monitoring instrument, online data judgment results are obtained, and over-standard early warnings and alarms are issued;

[0012] Environmental incident risk assessment steps: Based on the online data assessment results and the image data captured by the AI ​​video camera, a comprehensive assessment is conducted to obtain the assessment results. The assessment results are compared with the preset conditions to determine whether it constitutes an environmental incident. If it does constitute an environmental incident, it is classified and the assessment results are pushed;

[0013] Environmental risk emergency response steps: Based on the research and assessment results, the emergency plan is automatically matched through the pollution diffusion model and preset environmental protection standards;

[0014] Disposal management steps: Archive the analysis and judgment results and disposal process of environmental incidents to form a ledger.

[0015] Preferably, server resources and public IP resources are obtained through access sites and communication gateways; enterprise WeChat and SMS resources are opened based on wireless and wired networks.

[0016] Preferably, the data analysis and judgment step includes:

[0017] When the monitored data concentration exceeds 80% of the emission standard, an over-standard warning will be issued;

[0018] When the rise reaches the excessive warning value and reaches the preset number of times, an active alarm will be issued;

[0019] When the data increase within the preset interval exceeds the preset multiple, an active alarm will be issued;

[0020] When the preset number of consecutive data are completely consistent, the instrument is judged to be abnormal and an active alarm is issued.

[0021] Preferably, the environmental protection facility operation data and the emission status of the corresponding outlet are collected, and the current facility operation conditions are analyzed to determine whether they are normal. When it is determined that the current facility is operating normally, the current data is recorded and saved; when it is determined that the current facility is operating abnormally, an alarm message is pushed.

[0022] Preferably, AI video cameras are used to conduct video analysis and judgment of discharge outlets and unorganized emissions, capture abnormal emissions, smoke, and unorganized emissions in real time, and generate corresponding alarm information.

[0023] Preferably, the pollution diffusion model inputs: the outlet height of the current environmental event point, the pollutant type, the emission concentration, the current temperature and humidity, the wind speed and direction of the current environmental event point, and the wind speed and direction near the current environmental event point;

[0024] Pollution diffusion model output: diffusion simulation diagram based on GIS map.

[0025] The system for dynamic environmental protection control of steel enterprises provided by the present invention includes:

[0026] Data collection preparation module: access server online sites, communication gateways, build AI video cameras, wireless communication networks, and wired communication networks;

[0027] Data analysis and judgment module: Based on the emission standards implemented by each outlet, the company's internal control standards and the current status of the monitoring instrument, it obtains online data judgment results and issues over-standard warnings and alarms;

[0028] Environmental incident risk assessment module: This module conducts comprehensive assessment based on the online data and image data captured by the AI ​​video camera. The assessment results are compared with the preset conditions to determine whether an environmental incident occurs. If so, the assessment is classified and the assessment results are pushed to the system.

[0029] Environmental risk emergency response module: Based on the research and judgment results, the module automatically matches the emergency plan through the pollution diffusion model and preset environmental protection standards;

[0030] Disposal management module: archive the analysis and judgment results and disposal process of environmental incidents to form a ledger.

[0031] Preferably, server resources and public IP resources are obtained through access sites and communication gateways; enterprise WeChat and SMS resources are opened based on wireless and wired networks.

[0032] Preferably, the data analysis and judgment module includes:

[0033] When the monitored data concentration exceeds 80% of the emission standard, an over-standard warning will be issued;

[0034] When the rise reaches the excessive warning value and reaches the preset number of times, an active alarm will be issued;

[0035] When the data increase within the preset interval exceeds the preset multiple, an active alarm will be issued;

[0036] When the preset number of consecutive data are completely consistent, the instrument is judged to be abnormal and an active alarm is issued;

[0037] Through AI video cameras, video analysis and judgment of exhaust outlets and unorganized emissions are carried out, abnormal emissions, smoke, and unorganized emissions are captured in real time, and corresponding alarm information is generated.

[0038] Preferably, the environmental protection facility operation data and the emission status of the corresponding outlet are collected, and the current facility operation conditions are analyzed to determine whether they are normal. When it is determined that the current facility is operating normally, the current data is recorded and saved; when it is determined that the current facility is operating abnormally, an alarm message is pushed.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. The present invention provides a comprehensive method for monitoring enterprise pollution discharge and controlling excessive pollution, which significantly improves the environmental management level of enterprises and reduces the probability of environmental incidents.

[0041] 2. The present invention uses wireless communication technology for data collection, video AI automatic identification model for analysis and judgment, and environmental pollution diffusion model for impact analysis. The system in the implementation process adopts a modular structure, and each key technology performs its own function, reducing the system's coupling with data dependence. Various relevant judgment rules and national standards for implementation are preset, and can be improved in accordance with national environmental management requirements and keep pace with the times without affecting the normal operation of other modules of the system.

[0042] 3. This invention establishes an organic connection between various environmental-related data collection and analysis function modules, integrates data, combines diffusion analysis models, and AI identification and judgment to assist in environmental risk analysis and judgment, improves the accuracy of environmental protection management and control, speeds up the response to environmental incidents, and effectively helps enterprises avoid environmental risks;

[0043] 4. Since the present invention utilizes automatic collection, intelligent identification, and automatic push to push environmental events, the entire process embodies intelligent management and control, saves labor costs, improves management and control efficiency, and enables enterprises to respond quickly to environmental events and deal with them in a timely manner. At the same time, it also enables enterprises to avoid unnecessary administrative penalties and fines. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0045] Figure 1 This is a flow chart of the control method. DETAILED DESCRIPTION

[0046] The present invention will be described in detail below with reference to specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those skilled in the art, several changes and improvements can be made without departing from the scope of the present invention. These all fall within the scope of protection of the present invention.

[0047] Example 1:

[0048] The method for dynamic environmental protection control of a steel enterprise provided by the present invention includes:

[0049] S1: Real-time data is collected from online pollution source outlets. Based on the implemented emission standards, factors exceeding the standard are determined. Combined with environmental treatment facilities, abnormal operating parameters of the treatment unit (abnormal pressure difference in the bag filter, possibly indicating bag damage) are detected. After analyzing and judging the data using the above standards and pre-set rules, an environmental event is generated.

[0050] S2: Environmental events are judged according to the rules defined by the system, and then classified according to the production situation of the enterprise to automatically determine whether emergency response is required.

[0051] S3: The system automatically matches the disposal methods and plans based on the emergency disposal rules, enterprise environmental management system specifications, and the pollution diffusion analysis results of the excessive discharge outlets, notifies the relevant management units, and conducts timely treatment.

[0052] S4: The handling process and results of environmental incidents are archived afterwards to form an environmental protection management and control ledger, making environmental protection management and control a closed loop.

[0053] The system for dynamic environmental protection control of steel enterprises provided by the present invention includes:

[0054] Data collection preparation module: access server online sites, communication gateways, build AI video cameras, wireless communication networks, and wired communication networks;

[0055] Data analysis and judgment module: Based on the emission standards implemented by each outlet, the company's internal control standards and the current status of the monitoring instrument, it obtains online data judgment results and issues over-standard warnings and alarms;

[0056] Environmental incident risk assessment module: This module conducts comprehensive assessment based on the online data and image data captured by the AI ​​video camera. The assessment results are compared with the preset conditions to determine whether an environmental incident occurs. If so, the assessment is classified and the assessment results are pushed to the system.

[0057] Environmental risk emergency response module: Based on the research and judgment results, the module automatically matches the emergency plan through the pollution diffusion model and preset environmental protection standards;

[0058] Disposal management module: archive the analysis and judgment results and disposal process of environmental incidents to form a ledger.

[0059] Example 2:

[0060] The method for dynamic environmental protection control of a steel enterprise provided by the present invention includes:

[0061] The system integrates online data from the environmental management system (water, air, sound, ambient air, etc.), environmental protection facility operating parameters, and management statistics. Combined with the geographic information system, it provides a comprehensive overview of the company's overall environmental performance. The system also incorporates nine new AI cameras targeting fugitive emissions, further expanding its fugitive emissions management capabilities.

[0062] Based on the results of basic data and video analysis, the environmental management and control system automatically analyzes the data and generates alarm information. This alarm information is generated based on a comprehensive consideration of manually set online data emission standards and internal control standards, combined with the operating status of environmental protection facilities. Unorganized video automatically identifies alarm events and related video image data, and after organizing and editing them together with the previous alarm information, generates an environmental event message.

[0063] Through the company's dedicated WeChat official account, the system automatically pushes environmental incident information to the designated management group of responsible units. Upon receiving the information, managers, guided by the response plan, promptly implement corrective measures. Upon completion, the responsible individuals report the progress and results through the system, generating a management and control ledger, thus forming a closed-loop management system.

[0064] Environmental protection environment construction steps: access to online site data, set up the communication gateway with the environmental protection process main control system, build AI video cameras, build the system wireless and wired communication network; system application server resources, public network IP resources; enterprise WeChat and SMS resources activation;

[0065] Online data judgment steps: Based on the emission standards implemented by each outlet, the company's internal control standards and the current status of the monitoring instrument, early warning and alarm are issued when the standards are exceeded. Specifically:

[0066] When the concentration of monitoring data exceeds 80% of the emission standard, an excessive warning will be issued.

[0067] If the value continuously rises and reaches the warning value (X, X is configurable), an active alarm will be triggered.

[0068] If the interval data increases by more than a certain multiple, an active alarm should be issued.

[0069] If X (X is configurable) consecutive data are completely consistent, an active alarm (instrument abnormality) will be triggered.

[0070] The SO2 and NOx in the ambient air are correlated. If SO2 is continuously 0 and NOx is not, an abnormal alarm will be issued.

[0071] The exhaust gas monitoring flow rate and concentration are simultaneously correlated with the temperature to generate abnormal alarms.

[0072] Environmental protection facility operation analysis steps: Collect environmental protection facility operation data and the emission status of the corresponding outlet, analyze and determine whether the current facility operation conditions are normal. Under normal conditions, no operation is performed. When it is determined that the current facility operation is abnormal, an alarm message is pushed.

[0073] Environmental protection video AI recognition steps: Through the video analysis model, video analysis and judgment of exhaust outlets and unorganized emissions are carried out, abnormal emissions, smoke, and unorganized emissions are captured in real time, and corresponding alarm information is generated;

[0074] Environmental incident analysis and judgment steps: Obtain online judgment data, environmental protection facility operation analysis results, and video recognition results, and conduct comprehensive analysis and judgment to obtain the judgment results. Compare the judgment results with the preset conditions to determine whether it constitutes an environmental incident. If it does constitute an environmental incident, it will be classified and the judgment results will be pushed to the management unit;

[0075] Emergency response steps: Based on the results of environmental event analysis and judgment, combined with the pollution diffusion model deduction, and according to the company's ecological and environmental protection standards and environmental management and control regulations, the emergency plan is automatically matched.

[0076] The inputs of the pollution diffusion model are: outlet height of the current environmental event point, pollutant type, emission concentration, current temperature and humidity, wind speed and direction of the current environmental event point, and wind speed and direction near the current environmental event point.

[0077] Pollutant diffusion model deduction steps:

[0078] Step 1: Meteorological data processing, terrain data processing, and diffusion grid division;

[0079] Step 2: Match the pollution source with the meteorological information and terrain information;

[0080] Step 3: First calculate the contribution of a single puff to the pollutant concentration at a certain point in the wireless space;

[0081] Step 4: Calculate the contribution of the smoke puff to the pollutant concentration at a certain point in space when it is affected by a horizontal breeze;

[0082] Step 5: Under bounded conditions, the puff released at time 0 contributes to the concentration of a certain point after time t.

[0083] Step 6: Finally, calculate the concentration contribution of the smoke puff released at a certain moment to a certain point after time t;

[0084] Step 7: Select an appropriate time length for the integral of each puff's contribution, and calculate the pollutant concentration of each puff released by the emission source in the past that diffuses to a certain point.

[0085] The output of the pollution diffusion model is: a diffusion simulation diagram based on a GIS map.

[0086] Environmental protection management and control archiving steps: Archive the analysis and judgment results and disposal process of environmental events to form a ledger.

[0087] Those skilled in the art will appreciate that, in addition to implementing the system, device, and various modules provided by the present invention in purely computer-readable program code, it is entirely possible to implement the same program in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, embedded microcontrollers, and the like by logically programming the method steps. Therefore, the system, device, and various modules provided by the present invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; the modules for implementing various functions can also be considered both software programs for implementing the method and structures within the hardware component.

[0088] The above describes specific embodiments of the present invention. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art may make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. The embodiments of this application and the features in the embodiments may be combined with each other in any manner unless there is a conflict.

Claims

1. A method for dynamic environmental protection control in a steel enterprise, characterized in that: include: Data collection preparation steps: access the server online site, communication gateway, build AI video cameras, wireless communication network and wired communication network; Data analysis and judgment steps: Based on the emission standards implemented by each outlet, the company's internal control standards and the current status of the monitoring instrument, online data judgment results are obtained, and over-standard early warnings and alarms are issued; Environmental incident risk assessment steps: Based on the online data assessment results and the image data captured by the AI ​​video camera, a comprehensive assessment is conducted to obtain the assessment results. The assessment results are compared with the preset conditions to determine whether it constitutes an environmental incident. If it does constitute an environmental incident, it is classified and the assessment results are pushed; Environmental risk emergency response steps: Based on the research and assessment results, the emergency plan is automatically matched through the pollution diffusion model and preset environmental protection standards; Disposal management steps: Archive the results of environmental incident research and disposal processes to form a ledger; Obtain server resources and public IP resources through access sites and communication gateways; enable enterprise WeChat and SMS resources based on wireless and wired networks; The data analysis and judgment step includes: When the monitored data concentration exceeds 80% of the emission standard, an over-standard warning will be issued; When the rise reaches the excessive warning value and reaches the preset number of times, an active alarm will be issued; When the data increase within the preset interval exceeds the preset multiple, an active alarm will be issued; When the preset number of consecutive data are completely consistent, the instrument is judged to be abnormal and an active alarm is issued; Collect the operating data of environmental protection facilities and the emission status of the corresponding outlets, analyze and determine whether the current operating conditions of the facilities are normal. If the current facilities are judged to be operating normally, record the current data and save it; if the current facilities are judged to be operating abnormally, push an alarm message; Through AI video cameras, video analysis and judgment of exhaust outlets and unorganized emissions are carried out, abnormal emissions, smoke, and unorganized emissions are captured in real time, and corresponding alarm information is generated; Pollution diffusion model input: outlet height of the current environmental event point, pollutant type, emission concentration, current temperature and humidity, wind speed and direction of the current environmental event point, and wind speed and direction near the current environmental event point; Pollution diffusion model output: diffusion simulation diagram based on GIS map.

2. A system for dynamic environmental protection control of steel enterprises, characterized by: include: Data collection preparation module: access server online sites, communication gateways, build AI video cameras, wireless communication networks, and wired communication networks; Data analysis and judgment module: Based on the emission standards implemented by each outlet, the company's internal control standards and the current status of the monitoring instrument, it obtains online data judgment results and issues over-standard early warnings and alarms; Environmental incident risk assessment module: This module conducts comprehensive assessment based on online data and image data captured by AI video cameras. The assessment results are compared with preset conditions to determine whether an environmental incident occurs. If so, the assessment is classified and the assessment results are pushed to the system. Environmental risk emergency response module: Based on the analysis results, the module automatically matches the emergency plan through the pollution diffusion model and preset environmental protection standards; Disposal management module: archives the results of environmental incident analysis and disposal process to form a ledger; Obtain server resources and public IP resources through access sites and communication gateways; enable enterprise WeChat and SMS resources based on wireless and wired networks; The data analysis and judgment module includes: When the monitored data concentration exceeds 80% of the emission standard, an over-standard warning will be issued; When the rise reaches the excessive warning value and reaches the preset number of times, an active alarm will be issued; When the data increase within the preset interval exceeds the preset multiple, an active alarm will be issued; When the preset number of consecutive data are completely consistent, the instrument is judged to be abnormal and an active alarm is issued; Through AI video cameras, video analysis and judgment of exhaust outlets and unorganized emissions are carried out, abnormal emissions, smoke, and unorganized emissions are captured in real time, and corresponding alarm information is generated; Collect the operating data of environmental protection facilities and the emission status of the corresponding outlets, analyze and determine whether the current operating conditions of the facilities are normal. If the current facilities are judged to be operating normally, record the current data and save it; if the current facilities are judged to be operating abnormally, push an alarm message; Pollution diffusion model input: outlet height of the current environmental event point, pollutant type, emission concentration, current temperature and humidity, wind speed and direction of the current environmental event point, and wind speed and direction near the current environmental event point; Pollution diffusion model output: diffusion simulation diagram based on GIS map.

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