CN116703679A - Environment-friendly management system and management method for industrial enterprises and industrial parks - Google Patents
Environment-friendly management system and management method for industrial enterprises and industrial parks Download PDFInfo
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Abstract
The invention discloses an environment-friendly management system for industrial enterprises and industrial parks, which comprises: a pollution source geographic information model module; a pollution source data collection and distribution module; the pollution source data analysis and calculation module; the emergency pre-warning module is used for acquiring emission pretreatment monitoring data, comparing the emission pretreatment monitoring data with a customized emission standard and judging whether an emergency pollution event occurs or not; the emergency pre-warning module is also used for providing a processing strategy according to the pollution degree of the emergency. According to the technical scheme, the emergency pre-treatment monitoring data and the customized emission standard are compared by the emergency pre-warning module, whether the emergency happens is judged, and the accurate tracing and autonomous pre-warning of the pollution source are realized by the geographic information model and the meteorological diffusion model, so that related personnel can know the emergency timely, the emergency is treated timely, and the accident response treatment efficiency is improved.
Description
Technical Field
The invention relates to the technical field of pollution emission, in particular to an environment-friendly management system and method for industrial enterprises and industrial parks.
Background
With the rapid development of industry, society pays more attention to environmental pollution, and society encourages conditional industrial parks to engage third-party professional environmental protection institutions to provide integrated environmental protection services and solutions for industrial enterprises or parks, such as monitoring, supervision, environmental protection facility construction operation, pollution control and the like.
However, existing environmental monitoring and supervision generally only detects the pollution emission of enterprises and records data, and finally, relevant personnel process and analyze the pollution emission. When facing some emergency, the monitoring and supervision of the third party only plays a role in recording, so that autonomous early warning cannot be realized, related personnel cannot timely learn about the emergency, emergency treatment cannot be timely carried out on the emergency, and immeasurable economic loss is caused for enterprises.
Disclosure of Invention
The invention aims to provide an environment-friendly management system and method for industrial enterprises and industrial parks, and aims to solve the technical problems that the existing environment-friendly management system cannot early warn sudden pollution events and cannot timely process the sudden pollution events.
To achieve the above object, the present invention provides an environmental protection management system for industrial enterprises and industrial parks, comprising:
the pollution source geographic information model module is used for establishing a geographic information model according to the geographic topography of an industrial park, updating daily emission events and emergent pollution events on the geographic information model in real time by combining monitoring data provided by the environment monitoring system, and displaying the daily emission events and emergent pollution events in a visual image, wherein the monitoring data of the environment monitoring system comprise emission source types, emission source positions and emission intensity;
the pollution source data collection and distribution module is used for acquiring emission initial data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise in real time; the emission initial data is distributed according to the data types, and emission pretreatment monitoring data are formed, wherein the data types comprise pollutant types, data generation time and data sensitivity levels;
the pollution source data analysis and calculation module is used for acquiring emission pretreatment monitoring data, referring to daily emission management, emission and carbon reduction requirement indexes, engineering time nodes, factory safety production requirement indexes and process level requirement indexes of industrial enterprises, and forming corresponding customized emission standards for each industrial enterprise by combining the emission pretreatment monitoring data;
the emergency pre-warning module is used for acquiring emission pre-processing monitoring data, comparing the emission pre-processing monitoring data with a customized emission standard, judging whether an emergency pollution event occurs or not, and accurately tracing a pollution source and carrying out autonomous pre-warning through a geographic information model and a meteorological diffusion model; the emergency pre-warning module is also used for providing a processing strategy according to the pollution degree of the emergency.
As a further improvement of the invention: further comprises:
a customized pollution source database module, which is provided with a pollution source database for recording the initial emission data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise, and a client operation menu interface for providing user query data;
the daily supervision and management work module is used for managing regular patrol execution conditions according to a preset formulated patrol system and uploading patrol records to the server;
and the customized report output module is used for acquiring daily emission events and sudden pollution events and providing a data summary report of visual graphic analysis and pollution event traceability analysis.
As a further improvement of the invention: the environment monitoring system comprises monitoring equipment which comprises national control points, micro stations and road monitoring points.
As a further improvement of the invention: the custom emission standards include basic standards and custom standards; the basic standard comprises the emission value of sulfur dioxide, sulfur trioxide, dust, nitrogen oxides and THC emitted by industrial enterprises;
the customized standard is the emission value of methane, ammonia, hydrogen sulfide, carbon monoxide and aromatic hydrocarbon pollutants which are specially emitted by industrial enterprises.
The invention provides an environment-friendly management method for industrial enterprises and industrial parks, which comprises the following steps:
s1: establishing a geographic information model according to the geographic topography of an industrial park, and updating daily emission events and sudden pollution events on the geographic information model in real time by combining monitoring data provided by an environment monitoring system, and displaying the daily emission events and sudden pollution events in a visual image;
s2: acquiring emission initial data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise in real time; distributing the initial emission data according to the data type to form emission pretreatment monitoring data;
s3: acquiring emission pretreatment monitoring data, and referring to daily emission management, emission reduction and carbon reduction requirement indexes, engineering time nodes, factory safety production requirement indexes and process level requirement indexes of industrial enterprises, and forming corresponding customized emission standards for each industrial enterprise by combining the emission pretreatment monitoring data;
s4: and comparing emission pretreatment monitoring data with customized emission standards, judging whether an emergency pollution event occurs, and accurately tracing the pollution source and automatically early warning through a geographic information model and a meteorological diffusion model.
As a further improvement of the invention: the steps of accurately tracing the pollution source and automatically early warning through the geographic information model and the meteorological diffusion model comprise the following steps:
s41: according to the concentration and the emission intensity of pollutants, using Gaussian distribution to obtain an atmospheric diffusion formula;
s42: inputting an atmospheric diffusion formula into a geographic information model to generate an atmospheric concentration contour line;
s43: converting the contour line into a plane to obtain an atmospheric diffusion prediction graph;
wherein, atmospheric diffusion formula is:
wherein, the downwind direction is an x-axis, a y-axis is vertical to the x-axis in a horizontal plane, the positive direction of the y-axis is at the left side of the x-axis, the z-axis is vertical to the horizontal plane, and the upward direction is a positive direction; the concentration of the pollutant is C; the wind speed components parallel to the x, y and z directions are u, v and w respectively; the diffusion coefficients of the pollutants in the x, y and z directions are constant; the emission intensity of the pollution source is Q, delta x 、δ y 、δ z The standard deviation of concentration diffusion in the x, y and z directions respectively.
As a further improvement of the invention: the method also comprises the following steps:
s5: and providing corresponding treatment strategies according to different pollution degrees of the sudden pollution event.
As a further improvement of the invention: the step of providing a treatment strategy according to the pollution degree of the sudden pollution event comprises the following steps:
s51: giving corresponding preset grading values for different pollutant types and different emission values;
s52: judging whether the currently acquired pollutant types and emission values meet preset assignment conditions, and if so, summing the scoring values of the pollutant types and emission values meeting the preset assignment conditions to obtain a scoring total value;
s53: and matching preset treatment strategies of the emergency pollution events for different total scoring values.
As a further improvement of the invention: the step of providing a treatment strategy according to the pollution degree of the sudden pollution event further comprises the following steps:
s54: the user rates a historical preset processing strategy of the sudden pollution event;
s55: forming a processing strategy library by the processing strategy set;
s56: the method comprises the steps of forming a training database by the pollutant types, emission values, processing strategies and rating sets of the processing strategies, and transmitting the training database to an emergency early warning module to enable the emergency early warning module to learn and repeatedly update;
s57: and if the pollutant types and the emission values which are not in the preset scoring value range appear in the current monitoring process, the emergency pre-warning module forms a prediction processing strategy according to the current pollutant types and the emission values.
As a further improvement of the invention: the method also comprises the following steps:
s6: the emergency pre-warning module automatically defines a monitoring area and a safety area, a buffer area and an evacuation area of the extended monitoring area through a geographic information model and a meteorological diffusion model, and gathers the safety area, the buffer area and the evacuation area to a management system.
Compared with the prior art, the invention has the following beneficial effects:
according to the technical scheme, the emergency pre-treatment monitoring data and the customized emission standard are compared by the emergency pre-warning module, whether the emergency happens is judged, and the accurate tracing and autonomous pre-warning of the pollution source are realized by the geographic information model and the meteorological diffusion model, so that related personnel can know the emergency timely, the emergency is treated timely, and the accident response treatment efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an embodiment of an environmental management system for industrial enterprises and industrial parks.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, if a directional indication (such as up, down, left, right, front, and rear … …) is involved in the embodiment of the present invention, the directional indication is merely used to explain the relative positional relationship, movement condition, etc. between the components in a specific posture, and if the specific posture is changed, the directional indication is correspondingly changed.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, if "and/or" and/or "are used throughout, the meaning includes three parallel schemes, for example," a and/or B "including a scheme, or B scheme, or a scheme where a and B are satisfied simultaneously. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Referring to fig. 1, the present disclosure provides an environmental protection management system for industrial enterprises and industrial parks, and in one embodiment, the environmental protection management system includes:
the pollution source geographic information model module is used for establishing a geographic information model according to the geographic topography of an industrial park, updating daily emission events and emergent pollution events on the geographic information model in real time by combining monitoring data provided by the environment monitoring system, and displaying the daily emission events and the emergent pollution events by using visual images, wherein the monitoring data of the environment monitoring system comprise emission source types, emission source positions and emission intensity, and the daily emission events specifically refer to the emission work of industrial enterprises which daily meets the emission requirements;
the pollution source data collection and distribution module is used for acquiring emission initial data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise in real time; the emission preliminary data is distributed according to the data types, and emission pretreatment monitoring data are formed, wherein the data types comprise pollutant types, data generation time and data sensitivity levels. The distributed emission pretreatment monitoring data is more convenient for the system to carry out data calculation processing;
the pollution source data analysis and calculation module is used for acquiring emission pretreatment monitoring data, referring to daily emission management, emission and carbon reduction requirement indexes, engineering time nodes, factory safety production requirement indexes and process level requirement indexes of industrial enterprises, and forming corresponding customized emission standards for each industrial enterprise by combining the emission pretreatment monitoring data. The customized emission standard specifically refers to pollutant emission requirements of industrial enterprises, and the emission requirements of each enterprise are different due to different production conditions of each enterprise and the like;
the emergency pre-warning module is used for acquiring emission pre-processing monitoring data, comparing the emission pre-processing monitoring data with a customized emission standard, judging whether an emergency pollution event occurs or not, and accurately tracing a pollution source and carrying out autonomous pre-warning through a geographic information model and a meteorological diffusion model; the emergency pre-warning module is also used for providing a processing strategy according to the pollution degree of the emergency. Specifically, the emission preprocessing monitoring data are real-time emission data of enterprises, if the emission data exceed emission standards, the enterprises are abnormal in emission, the emergency early warning module traces the enterprises and generates early warning, and meanwhile related staff are informed of processing the enterprises.
As a further improvement of the invention: further comprises:
a customized pollution source database module, which is provided with a pollution source database for recording the initial emission data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise, and a client operation menu interface for providing user query data;
the daily supervision and management work module is used for managing regular patrol execution conditions according to a preset formulated patrol system and uploading patrol records to the server;
and the customized report output module is used for acquiring daily emission events and sudden pollution events and providing a data summary report of visual graphic analysis and pollution event traceability analysis.
As a further improvement of the invention: the environment monitoring system comprises monitoring equipment which comprises national control points, micro stations and road monitoring points.
As a further improvement of the invention: the custom emission standards include basic standards and custom standards; the basic standard comprises the emission value of sulfur dioxide, sulfur trioxide, dust, nitrogen oxides and THC emitted by industrial enterprises;
the customized standard is the emission value of methane, ammonia, hydrogen sulfide, carbon monoxide and aromatic hydrocarbon pollutants which are specially emitted by industrial enterprises.
Based on the environmental protection management system of the above embodiment, the invention provides an environmental protection management method for industrial enterprises and industrial parks, comprising the following steps:
s1: establishing a geographic information model according to the geographic topography of an industrial park, and updating daily emission events and sudden pollution events on the geographic information model in real time by combining monitoring data provided by an environment monitoring system, and displaying the daily emission events and sudden pollution events in a visual image;
s2: acquiring emission initial data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise in real time; distributing the initial emission data according to the data type to form emission pretreatment monitoring data;
s3: acquiring emission pretreatment monitoring data, and referring to daily emission management, emission reduction and carbon reduction requirement indexes, engineering time nodes, factory safety production requirement indexes and process level requirement indexes of industrial enterprises, and forming corresponding customized emission standards for each industrial enterprise by combining the emission pretreatment monitoring data;
s4: and comparing emission pretreatment monitoring data with customized emission standards, judging whether an emergency pollution event occurs, and accurately tracing the pollution source and automatically early warning through a geographic information model and a meteorological diffusion model.
As a further improvement of the invention: the steps of accurately tracing the pollution source and automatically early warning through the geographic information model and the meteorological diffusion model comprise the following steps:
s41: according to the concentration and the emission intensity of pollutants, using Gaussian distribution to obtain an atmospheric diffusion formula;
s42: inputting an atmospheric diffusion formula into a geographic information model to generate an atmospheric concentration contour line;
s43: converting the contour line into a plane to obtain an atmospheric diffusion prediction graph;
wherein, atmospheric diffusion formula is:
wherein, the downwind direction is an x-axis, a y-axis is vertical to the x-axis in a horizontal plane, the positive direction of the y-axis is at the left side of the x-axis, the z-axis is vertical to the horizontal plane, and the upward direction is a positive direction; the concentration of the pollutant is C; the wind speed components parallel to the x, y and z directions are u, v and w respectively; the diffusion coefficients of the pollutants in the x, y and z directions are constant; the emission intensity of the pollution source is Q, delta x 、δ y 、δ z The standard deviation of concentration diffusion in the x, y and z directions respectively.
Specifically, the leakage time and the leakage amount of the atmospheric pollutants are limited, the leakage process is approximately regarded as superposition of limited instantaneous leakage processes at a limited number of discrete moments, and the calculation result is a discrete point in the spatial distribution. We build a computational grid for the leak area, storing on each discrete point the spatial coordinate values (x, y, z) of the discrete moment (t) and the concentration value (C) of the contaminant. The environmental parameters such as wind speed, wind direction, air temperature, air pressure, humidity and the like related to the simulation model can be selected to be collected on site or obtained from a meteorological and hydrologic related department according to the requirements. The calculated data such as the concentration value of the pollutant is recorded into a database by using the model, and classified management is carried out according to different sudden atmospheric pollution.
According to the technical scheme, visual studio is adopted as a development environment, a geographic information model adopts a GIS platform of SuperMap, and a program of a rapid prediction model of atmospheric pollution diffusion is written; and combining a GIS platform of the super map, using the super map-Objects as a core component of graphic visualization, and using the super map-SDX+for SQLSever as data engine management space data to realize the processing and analysis of air space data such as atmosphere concentration contour line generation, graphic rendering and the like. The main process of simulation result visualization is as follows:
(1) And calculating the maximum concentration in the direction at a certain moment after the accident, wherein an initial value is 0, representing the place where the accident occurs, substituting a rapid prediction formula at each interval 1 in the direction, and calculating the maximum concentration value of pollution and the distance between the pollution and the wind direction at the accident point through a cycle judgment statement.
(2) Calculating concentration values represented by each isoconcentration curve:
gradeArr (i) =safe concentration+ (maximum concentration-safe concentration)/10×i×exp (i- (n-1)), (3)
Where i=0 to 9, and n is the number of contours.
(3) Calculating concentration equivalence points: calculating X in the X direction from the concentration value of the isoconcentration curve 0 ，Y 0 In X 0 Value (or Y) 0 Value) is used as a basis, and the y value (or x value) of the equal concentration is calculated according to a certain step change to obtain a concentration equivalence point.
(4) And generating line elements from the obtained concentration contour points, converting the line elements into surface elements, and finally generating an atmospheric diffusion prediction graph.
As a further improvement of the invention: the method also comprises the following steps:
s5: and providing corresponding treatment strategies according to different pollution degrees of the sudden pollution event.
As a further improvement of the invention: the step of providing a treatment strategy according to the pollution degree of the sudden pollution event comprises the following steps:
s51: giving corresponding preset grading values for different pollutant types and different emission values;
s52: judging whether the currently acquired pollutant types and emission values meet preset assignment conditions, and if so, summing the scoring values of the pollutant types and emission values meeting the preset assignment conditions to obtain a scoring total value;
s53: and matching preset treatment strategies of the emergency pollution events for different total scoring values.
Specifically, in step S51, the reference value levels of different pollutant types and different emission values are different. The reference value of sulfur dioxide is higher than that of dust, so that the weight value obtained by the sulfur dioxide is higher when the concentration of the sulfur dioxide is equal to that of the dust (for example, when the emission concentration of the sulfur dioxide is 0.05mg/L, the weight value is correspondingly obtained by 10, and when the emission concentration of the dust is 0.05mg/L, the weight value is correspondingly obtained by 5); second, the parameters of high emission concentration obtain more weight values (for example, emission concentration of sulfur dioxide is 0.04mg/L, 7 weight values can be obtained; emission concentration of sulfur dioxide is 0.02mg/L, thus obtaining 3 weight values) for the same pollutant species but different emission values. By the design, different reference values are given to different detection parameters, and the selection of a processing strategy by the system is facilitated.
In step S52, if the value of the detection parameter of the certain pollutant type and the emission value is within the preset range, for example, when the current emission concentration of sulfur dioxide is 0.04mg/L, a weight value of 7 is obtained, and when the emission concentration of sulfur dioxide is 0.005mg/L, the weight value is not given if the emission concentration of sulfur dioxide exceeds the preset range; the current emissions contained sulfur dioxide, corresponding to a weight of 10, the total weight of both being 17.
In the steps, the system matches a preset treatment strategy of the sudden pollution event according to detection parameters of different pollutant types and different emission values, the treatment strategy is manually input before the system operates, the treatment strategy comprises various guidance for emergently reducing the concentration of the current emission, and related personnel can carry out emergency treatment according to the guidance provided by the treatment strategy, so that the treatment efficiency of the pollution accident is improved.
As a further improvement of the invention: the step of providing a treatment strategy according to the pollution degree of the sudden pollution event further comprises the following steps:
s54: the user rates a historical preset processing strategy of the sudden pollution event;
s55: forming a processing strategy library by the processing strategy set;
s56: the method comprises the steps of forming a training database by the pollutant types, emission values, processing strategies and rating sets of the processing strategies, and transmitting the training database to an emergency early warning module to enable the emergency early warning module to learn and repeatedly update;
s57: and if the pollutant types and the emission values which are not in the preset scoring value range appear in the current monitoring process, the emergency pre-warning module forms a prediction processing strategy according to the current pollutant types and the emission values.
Specifically, because the processing strategies and the corresponding ratings are input by human, when the detection parameters of the pollutant types and the emission values reach a certain number, the use requirement of an automatic operation process is not facilitated by the human input mode, and therefore, the processing strategies which are not in the preset scoring value range are automatically predicted by the emergency pre-warning module for learning and repeated iterative updating, the automation degree of the control system can be improved, the operation efficiency of the control system can be improved, and the continuity of work is ensured.
As a further improvement of the invention: the method also comprises the following steps:
s6: the emergency pre-warning module automatically defines a monitoring area and a safety area, a buffer area and an evacuation area of the extended monitoring area through a geographic information model and a meteorological diffusion model, and gathers the safety area, the buffer area and the evacuation area to a management system.
Specifically, the specific division mode of the regions is to apply an atmospheric pollutant diffusion prediction model, and divide different regions according to an equal concentration curve according to the early warning requirement specified by a threshold value. When an emergency environment event occurs, the maximum landing concentration of different pollutants and relevant important data can be calculated according to the atmospheric prediction model so as to make an emergency response scheme for emergency management and related units.
The foregoing description is only of the optional embodiments of the present invention, and is not intended to limit the scope of the invention, and all the equivalent structural changes made by the description of the present invention and the accompanying drawings or the direct/indirect application in other related technical fields are included in the scope of the invention.
Claims (10)
1. An environmental protection management system for industrial enterprises and industrial parks, comprising:
the pollution source geographic information model module is used for establishing a geographic information model according to the geographic topography of an industrial park, updating daily emission events and emergent pollution events on the geographic information model in real time by combining monitoring data provided by the environment monitoring system, and displaying the daily emission events and emergent pollution events in a visual image, wherein the monitoring data of the environment monitoring system comprise emission source types, emission source positions and emission intensity;
the pollution source data collection and distribution module is used for acquiring emission initial data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise in real time; the emission initial data is distributed according to the data types, and emission pretreatment monitoring data are formed, wherein the data types comprise pollutant types, data generation time and data sensitivity levels;
the pollution source data analysis and calculation module is used for acquiring emission pretreatment monitoring data, referring to daily emission management, emission and carbon reduction requirement indexes, engineering time nodes, factory safety production requirement indexes and process level requirement indexes of industrial enterprises, and forming corresponding customized emission standards for each industrial enterprise by combining the emission pretreatment monitoring data;
the emergency pre-warning module is used for acquiring emission pre-processing monitoring data, comparing the emission pre-processing monitoring data with a customized emission standard, judging whether an emergency pollution event occurs or not, and accurately tracing a pollution source and carrying out autonomous pre-warning through a geographic information model and a meteorological diffusion model; the emergency pre-warning module is also used for providing a processing strategy according to the pollution degree of the emergency.
2. The environmental protection management system for industrial enterprises and industrial parks as described in claim 1, further comprising:
a customized pollution source database module, which is provided with a pollution source database for recording the initial emission data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise, and a client operation menu interface for providing user query data;
the daily supervision and management work module is used for managing regular patrol execution conditions according to a preset formulated patrol system and uploading patrol records to the server;
and the customized report output module is used for acquiring daily emission events and sudden pollution events and providing summary reports of visual graphic analysis and pollution event traceability analysis.
3. The environmental protection management system for industrial enterprises and industrial parks as described in claim 1 wherein said environmental monitoring system comprises monitoring equipment including national control points, micro-stations, road monitoring points and paving.
4. The environmental protection management system for industrial enterprises and industrial parks as described in claim 3 wherein said custom emissions standards comprise base standards and custom standards; the basic standard comprises the emission value of sulfur dioxide, sulfur trioxide, dust, nitrogen oxides and THC emitted by industrial enterprises;
the customized standard is the emission value of methane, ammonia, hydrogen sulfide, carbon monoxide and aromatic hydrocarbon pollutants which are specially emitted by industrial enterprises.
5. An environmental protection management method for industrial enterprises and industrial parks, comprising the steps of:
s1: establishing a geographic information model according to the geographic topography of an industrial park, and updating daily emission events and sudden pollution events on the geographic information model in real time by combining monitoring data provided by an environment monitoring system, and displaying the daily emission events and sudden pollution events in a visual image;
s2: acquiring emission initial data of a pollution emission monitoring system and an environment monitoring system of an industrial enterprise in real time; distributing the initial emission data according to the data type to form emission pretreatment monitoring data;
s3: acquiring emission pretreatment monitoring data, and referring to daily emission management, emission reduction and carbon reduction requirement indexes, engineering time nodes, factory safety production requirement indexes and process level requirement indexes of industrial enterprises, and forming corresponding customized emission standards for each industrial enterprise by combining the emission pretreatment monitoring data;
s4: and comparing emission pretreatment monitoring data with customized emission standards, judging whether an emergency pollution event occurs, and accurately tracing the pollution source and automatically early warning through a geographic information model and a meteorological diffusion model.
6. The environmental protection management method for industrial enterprises and industrial parks as described in claim 5, wherein said steps of precisely tracing and autonomously pre-warning pollution sources through a geographic information model and a weather diffusion model comprise:
s41: according to the concentration and the emission intensity of pollutants, using Gaussian distribution to obtain an atmospheric diffusion formula;
s42: inputting an atmospheric diffusion formula into a geographic information model to generate an atmospheric concentration contour line;
s43: converting the contour line into a plane to obtain an atmospheric diffusion prediction graph;
wherein, atmospheric diffusion formula is:
wherein, the downwind direction is an x-axis, a y-axis is vertical to the x-axis in a horizontal plane, the positive direction of the y-axis is at the left side of the x-axis, the z-axis is vertical to the horizontal plane, and the upward direction is a positive direction; the concentration of the pollutant is C; the wind speed components parallel to the x, y and z directions are u, v and w respectively; the diffusion coefficients of the pollutants in the x, y and z directions are constant; the emission intensity of the pollution source is Q, delta x 、δ y 、δ z The standard deviation of concentration diffusion in the x, y and z directions respectively.
7. The environmental protection management method for industrial enterprises and industrial parks as described in claim 5, further comprising the steps of:
s5: and providing corresponding treatment strategies according to different pollution degrees of the sudden pollution event.
8. The environmental protection management method for industrial enterprises and industrial parks as described in claim 7, wherein said step of providing a treatment strategy according to the pollution level of the sudden pollution event comprises:
s51: giving corresponding preset grading values for different pollutant types and different emission values;
s52: judging whether the currently acquired pollutant types and emission values meet preset assignment conditions, and if so, summing the scoring values of the pollutant types and emission values meeting the preset assignment conditions to obtain a scoring total value;
s53: and matching preset treatment strategies of the emergency pollution events for different total scoring values.
9. The environmental protection management method for industrial enterprises and industrial parks as described in claim 8, wherein said step of providing a treatment strategy based on the pollution level of an incident further comprises:
s54: the user rates a historical preset processing strategy of the sudden pollution event;
s55: forming a processing strategy library by the processing strategy set;
s56: the method comprises the steps of forming a training database by the pollutant types, emission values, processing strategies and rating sets of the processing strategies, and transmitting the training database to an emergency early warning module to enable the emergency early warning module to learn and repeatedly update;
s57: and if the pollutant types and the emission values which are not in the preset scoring value range appear in the current monitoring process, the emergency pre-warning module forms a prediction processing strategy according to the current pollutant types and the emission values.
10. The environmental protection management method for industrial enterprises and industrial parks as described in claim 5, further comprising the steps of:
s6: the emergency pre-warning module automatically defines a monitoring area and a safety area, a buffer area and an evacuation area of the extended monitoring area through a geographic information model and a meteorological diffusion model, and gathers the safety area, the buffer area and the evacuation area to a management system.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117610942A (en) * | 2024-01-22 | 2024-02-27 | 广东智环创新环境科技有限公司 | Industrial park environment-friendly supervision, management and early warning method and system based on Internet of things |
| CN117649123A (en) * | 2023-11-29 | 2024-03-05 | 北京通商物业管理有限公司 | Wisdom garden management system |
| CN117892952A (en) * | 2024-01-11 | 2024-04-16 | 湖北凌创环保有限公司 | Atmospheric environment monitoring system based on Internet of things |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106595757A (en) * | 2016-11-29 | 2017-04-26 | 西南石油大学 | Environment monitoring method and system |
| CN107024568A (en) * | 2017-06-06 | 2017-08-08 | 胡引翠 | A kind of air quality detection means and method |
| CN107563597A (en) * | 2017-08-04 | 2018-01-09 | 南通汇聚软件科技有限公司 | The intelligent early-warning method of gross contamination emission |
| CN110333325A (en) * | 2019-08-02 | 2019-10-15 | 中南大学 | A kind of atmosphere pollution environment Train operation means of defence and system |
| CN111861274A (en) * | 2020-08-03 | 2020-10-30 | 生态环境部南京环境科学研究所 | Water environment risk prediction and early warning method |
| CN112100299A (en) * | 2020-08-20 | 2020-12-18 | 四川大学 | Visualization method for emergency early warning of sudden toxic gas leakage |
| CN112749478A (en) * | 2020-12-11 | 2021-05-04 | 江苏汇环环保科技有限公司 | Atmospheric pollution source-tracing diffusion analysis system and method based on Gaussian diffusion model |
| CN114155129A (en) * | 2021-11-29 | 2022-03-08 | 中科三清科技有限公司 | Atmospheric environment traceability method and system based on industrial park |
| CN114154937A (en) * | 2020-11-11 | 2022-03-08 | 北京市环境保护科学研究院 | All-round street town and country wisdom environmental protection housekeeper service system |
| CN114371260A (en) * | 2022-01-17 | 2022-04-19 | 上海蓝科石化环保科技股份有限公司 | Gridding monitoring, diffusion early warning and tracing method for non-organized VOCs of industrial enterprise |
| CN115494047A (en) * | 2022-11-17 | 2022-12-20 | 广东博创佳禾科技有限公司 | Detection method and system for water environment agricultural pollutants |
-
2023
- 2023-06-21 CN CN202310744544.8A patent/CN116703679A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106595757A (en) * | 2016-11-29 | 2017-04-26 | 西南石油大学 | Environment monitoring method and system |
| CN107024568A (en) * | 2017-06-06 | 2017-08-08 | 胡引翠 | A kind of air quality detection means and method |
| CN107563597A (en) * | 2017-08-04 | 2018-01-09 | 南通汇聚软件科技有限公司 | The intelligent early-warning method of gross contamination emission |
| CN110333325A (en) * | 2019-08-02 | 2019-10-15 | 中南大学 | A kind of atmosphere pollution environment Train operation means of defence and system |
| CN111861274A (en) * | 2020-08-03 | 2020-10-30 | 生态环境部南京环境科学研究所 | Water environment risk prediction and early warning method |
| CN112100299A (en) * | 2020-08-20 | 2020-12-18 | 四川大学 | Visualization method for emergency early warning of sudden toxic gas leakage |
| CN114154937A (en) * | 2020-11-11 | 2022-03-08 | 北京市环境保护科学研究院 | All-round street town and country wisdom environmental protection housekeeper service system |
| CN112749478A (en) * | 2020-12-11 | 2021-05-04 | 江苏汇环环保科技有限公司 | Atmospheric pollution source-tracing diffusion analysis system and method based on Gaussian diffusion model |
| CN114155129A (en) * | 2021-11-29 | 2022-03-08 | 中科三清科技有限公司 | Atmospheric environment traceability method and system based on industrial park |
| CN114371260A (en) * | 2022-01-17 | 2022-04-19 | 上海蓝科石化环保科技股份有限公司 | Gridding monitoring, diffusion early warning and tracing method for non-organized VOCs of industrial enterprise |
| CN115494047A (en) * | 2022-11-17 | 2022-12-20 | 广东博创佳禾科技有限公司 | Detection method and system for water environment agricultural pollutants |
Non-Patent Citations (4)
| Title |
|---|
| 吴贤静: "《环境质量法律规制研究》", 28 February 2021, 上海三联书店, pages: 169 - 172 * |
| 毕彤，艾有平，蒋里强，潘明杰，康致泉，边雅明: "饮用水中有机污染物探查研究", 中国环境监测, no. 02, 30 April 1994 (1994-04-30), pages 16 - 17 * |
| 熊春宝: "《地理信息系统原理及工程应用》", 31 August 2014, 天津大学出版社, pages: 182 - 185 * |
| 谢锋等: "《环境监测技术综论》", 石油大学出版社, pages: 16 - 17 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117649123A (en) * | 2023-11-29 | 2024-03-05 | 北京通商物业管理有限公司 | Wisdom garden management system |
| CN117892952A (en) * | 2024-01-11 | 2024-04-16 | 湖北凌创环保有限公司 | Atmospheric environment monitoring system based on Internet of things |
| CN117610942A (en) * | 2024-01-22 | 2024-02-27 | 广东智环创新环境科技有限公司 | Industrial park environment-friendly supervision, management and early warning method and system based on Internet of things |
| CN117610942B (en) * | 2024-01-22 | 2024-03-29 | 广东智环创新环境科技有限公司 | Industrial park environment-friendly supervision, management and early warning method and system based on Internet of things |
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