A system and method for real-time monitoring of subsurface environments at a risk site
The system, which monitors the underground environment of high-risk sites in real time, solves the problem that existing technologies cannot comprehensively monitor the underground environment. It enables real-time online management and early warning of soil gas and groundwater pollution in petrochemical sites, and provides effective guidance for pollution control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA PETROLEUM & CHEMICAL CORP
- Filing Date
- 2021-04-23
- Publication Date
- 2026-05-05
AI Technical Summary
Existing technologies cannot comprehensively monitor the underground environmental conditions within the region, especially soil gas and groundwater pollution at petrochemical sites, and there are instances of illegal concealment, making it impossible to effectively implement pollution control measures.
A system for real-time monitoring of the underground environment of risk sites is provided, including a database construction module, an analysis and assessment module, a multi-dimensional display module, and an alert module. By acquiring basic data on pollution sources and receptor objects, a basic database is established, environmental assessments and optimization strategies are generated, and the system provides visualization and early warning alerts.
It enables real-time online management of soil gas and groundwater pollution at petrochemical sites, automatically identifies target sites with monitoring needs, provides guidance and supervision, comprehensively controls underground environmental pollution, and improves the persistent pollution situation.
Smart Images

Figure CN115237972B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of environmental pollution risk management technology, and in particular to a system and method for real-time monitoring of the underground environment of risk sites. Background Technology
[0002] In environmental remediation, treating contaminated soil is particularly challenging. Firstly, soil pollution is often insidious and delayed, with a long timeframe between its formation and the discovery of its harmful effects, making it an extremely serious environmental problem. Secondly, soil pollution is cumulative; compared to air and water, pollutants migrate, diffuse, and dilute within soil over a longer period, leading to continuous accumulation. Thirdly, soil pollution is unevenly distributed due to significant variations in soil properties and the slow migration of pollutants, resulting in considerable spatial variability. Furthermore, soil pollution is often irreversible; heavy metals are difficult to degrade, making heavy metal pollution of soil a process that is essentially irreversible. Therefore, establishing a real-time soil environmental monitoring system is urgently needed and will play a positive role in improving soil quality and reducing the extent of soil pollution.
[0003] While existing technologies for monitoring underground soil gas conditions have been researched, they typically involve selecting locations near target buildings suitable for horizontal directional drilling; using horizontal drilling tools to drill beneath buildings or other obstacles; and installing a guide and soil gas collection and transmission device on the drill bit at the front of the drill bit. The guide connects wirelessly to a receiver on the ground to determine the position and depth of the drill bit. During drilling, the drill bit is monitored and its position adjusted in a timely manner to ensure it reaches the designated depth and location in the soil, effectively monitoring soil gas information at a specified depth beneath existing buildings or other obstacles. However, these existing technologies only install monitoring devices on a specific building or location to obtain soil gas information for that location. This requires a known monitoring request before monitoring can be implemented. Given the large number of buildings and locations in an area, it is impossible to identify all monitoring requests. Furthermore, the nature of environmental pollution makes it difficult to prevent violations and concealment. Even with monitoring facilities, it is impossible to guarantee that relevant enterprises will implement effective pollution control measures. Therefore, a system capable of comprehensively monitoring the underground environmental conditions of an area is needed. Summary of the Invention
[0004] To address the aforementioned problems, this invention provides a system for real-time monitoring of the underground environment of hazardous sites. This system enables the construction of a complete online monitoring and management system, allowing for the visualization of various monitoring information, monitoring point information, and early warning alarm information related to the site environment. This facilitates real-time online management of soil gas and groundwater pollution in petrochemical sites. In one embodiment, the system includes:
[0005] The database construction module is configured to acquire basic data on pollution sources, receptor objects, and environmental monitoring data for each site within the target area, and to establish a basic database based on the acquired data to provide a basis for regulatory analysis.
[0006] The analysis and evaluation module is configured to integrate data from the basic database to evaluate the current underground environmental status and the degree of impact on the recipient objects of each selected target monitoring site, and generate corresponding optimization strategies based on the evaluation results.
[0007] The multi-dimensional display module is used to visualize database information, evaluation results, and optimization strategies of different target monitoring sites within the target area in various forms, combined with map information.
[0008] The alert module, which is communicatively connected to the analysis and evaluation module, is configured to generate corresponding early warning alert information when the evaluation results meet the set conditions, and to publish it both on-site and remotely.
[0009] The control module is used to generate control commands and, in conjunction with communication technology, control the operation of each functional module.
[0010] Preferably, in one embodiment, the database construction module includes:
[0011] The survey unit is configured to collect basic information on above-ground objects and organisms within the target area by combining satellite map information of the target area with data on buildings, residents, and business operations in the area.
[0012] The data acquisition unit is configured to select one or more above-ground targets that meet the data collection requirements as target monitoring sites based on the basic information obtained from statistics, and to collect basic pollution source data, receptor object data and environmental monitoring data at each monitoring point.
[0013] The database construction unit is configured to establish multiple storage areas compatible with various data structures, supporting data input, query, output, and editing functions, and is used to import, store, and manage the data collected by the data acquisition module.
[0014] Furthermore, in one embodiment, the basic information of the above-ground objects collected by the survey unit includes: the usage status, business type, address information, and environmental monitoring implementation status of the above-ground objects within the target area; the basic information of the above-ground organisms includes: biological species, biological density, and the use of sensitive resources.
[0015] In one embodiment, the data acquisition unit is configured as follows:
[0016] The above-ground objects that are in use or have been used and whose business type is a preset high-risk type are selected as the target monitoring sites. Each target monitoring point is classified based on the environmental monitoring implementation status, the species and density of above-ground organisms, and the use of sensitive resources.
[0017] In one embodiment, the data storage area established by the database construction unit includes: a basic information database for risky enterprises, an equipment and facility information database, a sensitive receptor information database, a pollution migration information database, and a monitoring project information database;
[0018] The risk enterprise basic information database is used to store and manage the business type, enterprise address, basic attributes and level information of the target monitoring area;
[0019] The equipment and facility information database is used to store and manage specific information about the functional zones within the target detection point, including but not limited to: map information of each functional zone within the enterprise, information on above-ground and underground equipment and facilities, process flow data, and information on waste generation and discharge;
[0020] The sensitive receptor information database is used to store the number, distribution, and underground resource usage of sensitive organisms in different areas of the target monitoring site.
[0021] The pollution migration information database is used to store and manage the geological and stratigraphic characteristics of different areas of the target detection point;
[0022] The monitoring project information database is used to store and manage historical and real-time underground environmental monitoring data of the target monitoring points, including but not limited to soil and groundwater monitoring data.
[0023] Each data storage area includes multiple structured data areas to accommodate different data structures.
[0024] Specifically, in one embodiment, the analysis and evaluation module includes:
[0025] The assessment indicator determination unit is configured to set pollution control indicators that match the basic data of pollution sources and the data of receptor objects for different areas of each target monitoring site, based on the pollution risk management standards of soil and groundwater, and store them in the basic database for use as the basis for analysis to assess the state of the underground environment and the degree of impact on receptor objects.
[0026] The calculation and evaluation unit is configured to analyze and calculate based on the acquired underground environmental monitoring status and monitoring data, generate environmental assessment coefficients for the target monitoring site, and then compare the environmental assessment coefficients with pollution control indicators to obtain the evaluation results.
[0027] The monitoring status includes different levels, including at least Level A and Level B. Level A indicates that the monitoring items are incomplete or the data is invalid; Level B indicates that the monitoring items and data are normal. When the target monitoring site is at Level A, a corresponding monitoring item optimization reminder is generated. When the target monitoring site is at Level B, the corresponding environmental assessment coefficient is calculated based on the real-time data of each monitoring item.
[0028] Furthermore, for Class B target monitoring sites, the following steps are performed to calculate the corresponding environmental assessment coefficient:
[0029] Based on the computational requirements, select the set computational data from the acquired real-time monitoring data, input it into the pre-built corresponding evaluation coefficient calculation model, and determine the corresponding environmental evaluation coefficient.
[0030] The evaluation coefficient calculation model has multiple components, which are established based on historical monitoring data of the target monitoring site and combined with historical environmental evaluation coefficients.
[0031] Specifically, in one embodiment, during the process of establishing the evaluation coefficient calculation model, the single-factor pollution index corresponding to each pollutant element is calculated based on the historical monitoring data of each target monitoring site, and different combinations of single-factor pollution indices are selected to calculate the Nemerow comprehensive pollution index for different pollution types, which serves as the historical environmental evaluation coefficient, and the corresponding different evaluation coefficient calculation models are trained.
[0032] In one embodiment, the multi-dimensional display module includes an overall display layer and an enterprise display layer. The overall display layer uses an administrative division map for display, and the points on the administrative division map represent target detection points. By setting different query conditions, the online data status of the selected area can be displayed.
[0033] The multi-dimensional display module is equipped with a real-time interactive mechanism. Clicking on a specific point on the overall display map will take you to the enterprise display layer, where the basic information and monitoring information of the enterprise corresponding to the target monitoring location will be displayed in detail. Each point in the enterprise display layer represents a monitoring device point that has been deployed. Different enterprise data displays can be shown by setting different query conditions.
[0034] Based on other aspects of the system described in any one or more of the above embodiments, the present invention also provides a method for real-time monitoring of the underground environment of a risk site, the method comprising:
[0035] The database construction steps include acquiring basic data on pollution sources, receptor objects, and environmental monitoring data for each site within the target area, and establishing a basic database based on the acquired data to provide a basis for regulatory analysis.
[0036] The analysis and evaluation process involves integrating data from the basic database to assess the current underground environmental status and the impact of the target objects at each selected monitoring site, and generating corresponding optimization strategies based on the evaluation results.
[0037] The multi-dimensional display steps, database information on different target monitoring sites within the target area, evaluation results, and optimization strategies are combined with map information to present various forms of visualization.
[0038] The method also includes a prompting step, generating corresponding early warning information when the evaluation results meet the set conditions, and issuing it both on-site and remotely.
[0039] Compared with the closest prior art, the present invention also has the following beneficial effects:
[0040] This invention provides a system and method for real-time monitoring of the underground environment of high-risk sites. The system selectively acquires basic data on pollution sources, receptor data, and environmental monitoring data from various sites within a region. It can intelligently select sites with monitoring needs online, eliminating the need for on-site verification. This allows for the acquisition of relevant data from target monitoring sites to establish a database, ensuring comprehensiveness while avoiding redundant data consuming space. Furthermore, this invention can assess the current underground environment of each monitoring site in real time based on various data. For enterprises that do not meet standards, it can promptly remind or order them to install monitoring and remediation facilities or further optimize their operations, assisting governments and relevant departments in timely controlling damage to the underground environment.
[0041] Furthermore, this invention includes visualization modules at different levels, allowing users to flexibly read multiple data points from different monitoring areas and locations online, which is convenient and efficient. It also features an online alert function, enabling simultaneous on-site and remote early warning.
[0042] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description
[0043] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0044] Figure 1 This is a schematic diagram of the structure of a system for real-time monitoring of the underground environment of a risk site provided in one embodiment of the present invention;
[0045] Figure 2This is a flowchart illustrating a method for real-time monitoring of the underground environment of a risk site, according to another embodiment of the present invention. Detailed Implementation
[0046] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings and examples. Those skilled in the art will then fully understand how the present invention uses technical means to solve technical problems and achieve technical effects, and will be able to implement the present invention specifically based on the above-described implementation process. It should be noted that, as long as there is no conflict, the various embodiments and features of the present invention can be combined with each other, and the resulting technical solutions are all within the protection scope of the present invention.
[0047] Although the flowchart describes the operations as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. The order of the operations can be rearranged. A process can terminate when its operation is complete, but it may also have additional steps not included in the diagram. A process can correspond to a method, function, procedure, subroutine, subroutine, etc.
[0048] Computer equipment includes user equipment and network equipment. User equipment or clients include, but are not limited to, computers, smartphones, PDAs, etc.; network equipment includes, but is not limited to, a single network server, a server group consisting of multiple network servers, or a cloud based on cloud computing consisting of a large number of computers or network servers. Computer equipment can operate independently to implement this invention, or it can connect to a network and implement this invention through interaction with other computer equipment in the network. The network in which the computer equipment is located includes, but is not limited to, the Internet, wide area network, metropolitan area network, local area network, VPN network, etc.
[0049] The terms “first,” “second,” etc., may be used herein to describe various units, but these units should not be limited by these terms; they are used merely to distinguish one unit from another. The term “and / or” as used herein includes any and all combinations of one or more of the associated listed items. When a unit is referred to as “connected” or “coupled” to another unit, it may be directly connected or coupled to said other unit, or there may be intermediate units present.
[0050] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments. Unless the context clearly indicates otherwise, the singular forms “a” and “an” as used herein are also intended to include the plural. It should also be understood that the terms “comprising” and / or “including” as used herein specify the presence of the stated features, integers, steps, operations, units, and / or components, without excluding the presence or addition of one or more other features, integers, steps, operations, units, components, and / or combinations thereof.
[0051] In environmental remediation, treating contaminated soil is particularly challenging. Firstly, soil pollution is often insidious and delayed, with a long timeframe between its formation and the discovery of its harmful effects, making it an extremely serious environmental problem. Secondly, soil pollution is cumulative; compared to air and water, pollutants migrate, diffuse, and dilute within soil over a longer period, leading to continuous accumulation. Thirdly, soil pollution is unevenly distributed due to significant variations in soil properties and the slow migration of pollutants, resulting in considerable spatial variability. Furthermore, soil pollution is often irreversible; heavy metals are difficult to degrade, making heavy metal pollution of soil a process that is essentially irreversible. Therefore, establishing a real-time soil environmental monitoring system is urgently needed and will play a positive role in improving soil quality and reducing the extent of soil pollution.
[0052] Due to the large number of sites with pollution risks, such as petrochemical sites, the complex history of pollution, and the insufficient understanding of the pollution baseline, domestic researchers have proposed relevant theories on soil gas underground monitoring and sampling methods in the face of such complex pollution source sites. However, these monitoring systems can only meet one or a few functions and cannot meet the needs of comprehensive online monitoring of soil gas and groundwater in the site environment, pollution distribution characterization, and prediction and early warning management. The lack of practical application in sites means that scientific management has not been truly achieved, and further guidance and suggestions cannot be provided to enterprises or governments.
[0053] For example, patent CN105548481A discloses a method for site investigation and monitoring of soil gas. It selects a location around a target building that is convenient for horizontal directional drilling; uses a horizontal drilling tool to drill a hole and drills horizontally under the building or other obstacles; and sets a guide and a soil gas collection and transmission device on the drill bit at the front of the drill tool. The guide is wirelessly connected to a receiving device on the ground to determine the position and depth of the underground drill bit. During drilling, the condition of the drill bit is monitored and the position of the drill bit is adjusted in a timely manner to ensure that the drill bit reaches the specified depth and position of the soil, so as to effectively monitor the soil gas information at a specified depth under existing buildings or other obstacles. However, existing technologies typically involve setting up monitoring devices on specific buildings or locations to obtain soil gas information. This requires a monitoring request to be made before monitoring can be implemented. However, with numerous buildings and locations in an area, it is impossible to identify all monitoring requests. Furthermore, given the nature of environmental pollution, there is a risk of violations and concealment. Even if monitoring devices are set up, it cannot guarantee that the relevant enterprises will implement effective pollution control measures. Therefore, a system capable of comprehensively monitoring the underground environmental status of an area is needed. An online monitoring system needs to be established to obtain real-time data on soil gas and groundwater environment at petrochemical sites across the country. This system should enable real-time transmission, comprehensive display, early warning, and alarm functions of the online monitoring data, achieving visualized and intelligent supervision of site data.
[0054] The present invention will be further described below with reference to specific embodiments. The description of the embodiments is only for the purpose of understanding the present invention and is not intended to limit the scope of protection of the present invention.
[0055] Implementation Case:
[0056] This embodiment describes the establishment of an online monitoring system for groundwater and soil gas at a Sinopec refining and chemical enterprise. The system configuration is as follows: Server configuration: SQL Server database, 32GB RAM (or more), 100TB hard drive (or more); Development platform: Visual Studio 2015; Development language: Java; GIS system: SuperMap GIS.
[0057] Permission settings: Divided into two levels: management level and operation level;
[0058] Data interruption resume: There is a three-level cache of RTU, gateway and server, and interrupted data is actively resumed;
[0059] Security Configuration: Data encryption and confidentiality functions meet the requirements of a Sinopec refining and chemical enterprise.
[0060] Establish a basic data center for refining and chemical enterprises: (1) Basic information database for refining and chemical enterprises: enterprise name, legal representative, address, enterprise latitude and longitude, enterprise area, enterprise history, industrial park and cluster area, land area, current land use rights, land use history, etc.; (2) Equipment and facility information database: electronic map of the overall enterprise, office area, production area, storage area, wastewater treatment area, solid waste storage and disposal area area and layout, list of above-ground and underground tanks, electronic process flow diagram, list of various factory buildings and warehouses and stored materials, generation and discharge of three wastes, etc.; (3) Migration path information database: geological structure, soil texture, ground cover, soil stratification, groundwater depth, groundwater distribution, groundwater flow direction. (4) Sensitive receptor information database: population size, distribution of sensitive targets, land plots and groundwater use, etc.; (5) Existing survey and monitoring project information database: soil and groundwater environmental survey and monitoring data, other survey and assessment data, etc.; (6) Online monitoring data: online monitoring point information, latitude and longitude, elevation, online monitoring indicators, concentration, unit, online monitoring equipment, online monitoring depth, monitoring frequency, and transmit data to the system database in real time via wireless means; (7) Laws and regulations: national and local laws and regulations, rules and regulations, standard system and technical specifications, standard values of various pollutants, alarm thresholds, etc.; and collect relevant data to establish database upload, input, query and statistical functions. According to the points set up on the site of the petrochemical enterprise, the online monitoring data is uploaded to the groundwater and soil gas online monitoring system. The system automatically calculates and counts the total number of monitoring points, monitoring compliance rate, points exceeding the standard, pollutants exceeding the standard, concentration values of pollutants exceeding the standard, maximum value, minimum value, average value, etc. of various pollutants.
[0061] On the visual display screen, the overall view connects the geographical location information and data of various enterprises. Alarms are displayed for enterprises exceeding standards. The overall view provides statistics on data transmission rate, data effectiveness rate, compliance rate, and the maximum, minimum, and average values of various pollutants. The monitoring statistics of enterprises connected to the system are compared horizontally, and users can switch to view the real-time monitoring status of monitoring points. Clicking on a specific enterprise leads to its display, which is divided into an enterprise geographic information map and an enterprise digital factory simulation map. The points on the enterprise geographic information map represent specific monitoring points, displaying overall early warning and alarm information as well as the real-time distribution of soil, air, and groundwater pollution. By setting different query conditions, the online monitoring status of selected areas can be displayed, and specific monitoring points can also be managed. Clicking on a specific monitoring point displays content including historical fluctuations in pollutant concentrations, groundwater level fluctuations, lithological distribution of the point, and online video monitoring of the monitoring point. The enterprise digital factory simulation map displays the three-dimensional distribution of above-ground devices or buildings at each monitoring point, providing an overall view of the enterprise's monitoring statistics, including data transmission rate, data effectiveness rate, compliance rate, and the maximum, minimum, and average values of various pollutants, along with a brief description of the site's history.
[0062] The steps for establishing the pollution distribution of petrochemical sites are as follows: Establish interpolation methods and computer programming languages for pollutant planar and spatial data; select the pollution distribution focus areas or locations, planar or spatial display methods, interpolation calculation methods, and types of interpolated pollutants according to management needs; and visualize the planar or spatial pollution distribution by calculating the single-factor pollution index and Nemerow composite pollution index for each pollutant. Different concentration levels of pollutants are displayed using contour lines or different colors, allowing for the viewing of different planar or profile information.
[0063] To address the aforementioned issues, this invention provides a system and method for real-time monitoring of the underground environment of high-risk sites. This system acquires basic data on pollution sources, receptor data, and environmental monitoring data for each site within a target area. Based on the acquired data, a foundational database is established to provide a basis for regulatory analysis. An analysis and evaluation module then integrates the data from the foundational database to assess the current underground environmental status and the degree of impact on receptors at each selected target monitoring site. Based on the evaluation results, corresponding optimization strategies are generated. Simultaneously, the collected and decision-making data are presented to users in various intuitive formats, along with early warning prompts. This system can automatically and efficiently select targets with underground environmental pollution monitoring needs from numerous sites or enterprises, and conduct targeted analysis and evaluation to provide guidance and supervision for underground environmental monitoring projects and remediation at corresponding sites and enterprises. This facilitates comprehensive control of underground environmental pollution prevention and control within the region and can truly improve the situation of persistent underground environmental pollution.
[0064] The following describes in detail the structure and functional principles of the system according to the embodiments of the present invention based on the accompanying drawings. The execution logic of each module or structure in the drawings can be executed in a computer system containing, for example, a set of computer-executable instructions.
[0065] Example 1
[0066] Figure 1 This diagram illustrates the structure of a system for real-time monitoring of the underground environment of risk sites provided in Embodiment 1 of the present invention. (Refer to...) Figure 1 It can be seen that the system includes:
[0067] Database construction module 11 is configured to acquire basic data of pollution sources, receptor objects and environmental monitoring data of each site in the target area, and establish a basic database based on the acquired data to provide a basis for regulatory analysis.
[0068] The analysis and evaluation module 13 is configured to integrate data from the basic database to evaluate the current underground environmental status and the degree of influence of the receptor objects on each selected target monitoring site, and generate corresponding optimization strategies based on the evaluation results.
[0069] The multi-dimensional display module 15 is used to visualize database information, evaluation results and optimization strategies of different target monitoring sites within the target area in various forms, combined with map information.
[0070] The prompting module 17 is communicatively connected to the analysis and evaluation module and is configured to generate corresponding early warning prompts when the evaluation results meet the set conditions, and to publish them both on-site and remotely.
[0071] The control module 19 is used to generate control commands and control the operation of various functional modules in conjunction with communication technology.
[0072] In practical applications, in one embodiment, the system further includes a system configuration module, which is configured to provide the hardware and software for system operation, set user permissions, system function descriptions, and other system-related support information.
[0073] Using the structure described in the above embodiments of the present invention, various basic information databases required for system operation can be established through the database construction module 11, enabling the input, query, and statistical functions of multi-source heterogeneous data. Furthermore, online monitoring and analysis can be achieved through the analysis and evaluation module 13, enabling the query and statistical analysis of real-time monitoring data of various risk pollution elements such as TOC in groundwater and soil gas, and the integrated management of historical monitoring data. This provides data support for the multi-dimensional display module 15 and the prompting module 17, enabling flexible visualization display and on-site and remote early warning prompts.
[0074] Furthermore, in one embodiment, the database construction module includes:
[0075] Survey Unit 11-1 is configured to combine satellite map information of the target area with building, resident and business data of the area to statistically analyze basic information on ground objects and ground organisms in the target area;
[0076] The data acquisition unit 11-2 is configured to select one or more ground targets that meet the data collection requirements as target monitoring sites based on the basic information obtained from statistics, and to collect basic data of pollution sources, receptor data and environmental monitoring data of each monitoring point 11-3;
[0077] The database construction unit 11-4 is configured to establish multiple storage areas compatible with various data structures, supporting data input, query, output and editing functions, and is used to import, store and manage the data collected by the data acquisition module.
[0078] Specifically, in practical applications, in one embodiment, the basic information of above-ground objects statistically collected by the survey unit includes: the usage status, business type, address information, and environmental monitoring implementation status of above-ground objects within the target area; the basic information of above-ground organisms includes: biological species, biological density, and the use of sensitive resources. Based on this embodiment, by conducting a comprehensive statistical survey of all above-ground objects within the area through the survey unit before acquiring data, the comprehensiveness of online monitoring and data acquisition can be ensured, while avoiding the acquisition of unnecessary data. This excludes locations that pose no pollution risk even if they are operating normally, such as ordinary residential houses and chemical plants under construction but not yet operational. This reduces data acquisition time and saves storage space in the basic database.
[0079] Considering that the pollution levels and hazards caused by different business operations of enterprises in the region vary and are closely related to the above-ground biological activities of the surrounding environment, the urgency of pollution monitoring needs in different monitoring sites is divided into categories. This allows for more rational and efficient monitoring and control, avoiding delays in timely monitoring and control of the underground environment in areas with concentrated human activity.
[0080] Preferably, in one embodiment, the data acquisition unit is configured as follows:
[0081] The above-ground objects that are in use or have been used and whose business type is a preset high-risk type are selected as the target monitoring sites. Each target monitoring point is classified based on the environmental monitoring implementation status, the species and density of above-ground organisms, and the use of sensitive resources.
[0082] Specifically, when selecting target monitoring sites, the waste generation types and contents of different processes in the field can be sorted from high to low. The top-ranked processes, whose business types include any one or more of the selected processes, are identified as high-risk targets.
[0083] Furthermore, the assessment should not be based solely on the content of high-risk waste generated by the process, but should also consider the living organisms in the target monitoring area for comprehensive analysis. For example, if two companies, A and B, located at different addresses and operating the same type of process, but company A is closer to residential or livestock farming areas, while company B is largely unaffected by residents or other sensitive organisms, then company A's monitoring level is determined to be higher than company B's. It should be noted that in actual implementation, technicians can use any other reasonable means to classify the target monitoring area; this invention does not impose any particular limitations on this.
[0084] Specifically, in practical applications, the data storage area established by the database construction unit includes: a basic information database for risky enterprises, an equipment and facility information database, a sensitive receptor information database, a pollution migration information database, and a monitoring project information database;
[0085] The risk enterprise basic information database is used to store and manage the business type, enterprise address, basic attributes and level information of the target monitoring location; further, in practical applications, the information in the risk enterprise basic information database can be set to include, but is not limited to: enterprise name, legal representative, address, enterprise latitude and longitude, enterprise area, enterprise history, industrial park and cluster area to which it belongs, land area, current land use rights, land use history, etc.
[0086] The equipment and facility information database is used to store and manage specific information about the functional zones within the target detection point, including but not limited to: map information of each functional zone within the enterprise, information on above-ground and underground equipment and facilities, process flow data, and waste generation and discharge information. Specifically, the functional zone information includes at least the area and floor plan of the enterprise as a whole, office area, production area, storage area, wastewater treatment area, solid waste storage and disposal area, and warehouse. The equipment and facility information can specifically be a list of above-ground and underground tanks and silos. In practical applications, process flow diagrams can be collected as process flow data, and data on the generation and discharge of waste can be collected as waste generation and discharge information. In addition, the equipment and facility information database can also include a list of materials stored in various factories or warehouses to provide material basis for analyzing expected process flows or analyzing available governance and optimization strategies.
[0087] The sensitive receptor information database is used to store the number, distribution, and underground resource usage of sensitive organisms in different areas of the target monitoring site.
[0088] The pollution migration information database is used to store and manage the geological and stratigraphic characteristics of different areas of the target detection point. Specifically, in actual implementation, the geological and stratigraphic characteristics include, but are not limited to, data such as: stratigraphic structure, soil texture, ground cover, soil stratification, groundwater depth, groundwater distribution, groundwater flow direction, and permeability.
[0089] The monitoring project information database is used to store and manage historical and real-time underground environmental monitoring data of the target monitoring points, including but not limited to soil and groundwater monitoring data. Specifically, it can be configured to include online monitoring data of groundwater, soil gas, and surface water bodies around the site, borehole lithology data and groundwater-related data within the site, sampling point location information, and real-time monitoring video information of sampling points. Among them, groundwater monitoring information includes but is not limited to TOC, turbidity, pH, COD, ammonia nitrogen, and total dissolved solids; soil gas monitoring information includes but is not limited to soil temperature, humidity, and volatile organic compounds.
[0090] Specifically, the online monitoring statistics include the total number of monitoring points, the compliance rate, the number of points exceeding the standard, the pollutants exceeding the standard, the concentration values of the pollutants exceeding the standard, and the maximum, minimum, and average values of various pollutants.
[0091] It should be noted that, in the actual monitoring process, monitoring points should be reasonably arranged according to the pollution and hydrogeological characteristics of the corresponding enterprise. Taking a refining and chemical enterprise as an example, soil gas and groundwater control points can be set up in the designated area outside the enterprise or in the area away from key facilities inside the enterprise. This can represent the background values of soil gas and groundwater in the area where the enterprise is located, and avoid conflicts or interference between other facilities and monitoring devices, which may affect the normal operation of the process or the accuracy of monitoring data.
[0092] Each data storage area includes multiple structured data areas to accommodate different data structures, enabling compatible storage and management of multi-source heterogeneous data.
[0093] Furthermore, in one embodiment, the basic database also includes a standard file storage area for storing and managing: national and local laws, regulations, rules, standards and technical specifications, pre-set data such as standard values and alarm thresholds for various pollutants, which are easy to access directly and improve analysis and processing efficiency.
[0094] Furthermore, in one embodiment, the analysis and evaluation module 13 includes:
[0095] The assessment index determination unit 13-1 is configured to set pollution control indicators that match the basic data of pollution sources and the data of receptor objects for different areas of each target monitoring site, based on the pollution risk management standards of soil and groundwater, and store them in the basic database for use as the basis for analysis to assess the state of the underground environment and the degree of impact on receptor objects.
[0096] The calculation and evaluation unit 13-2 is configured to analyze and calculate based on the acquired underground environmental monitoring status and monitoring data, generate environmental assessment coefficients for the target monitoring site, and then compare the environmental assessment coefficients with pollution control indicators to obtain the evaluation results.
[0097] The monitoring status includes different levels, including at least Level A and Level B. Level A indicates that the monitoring items are incomplete or the data is invalid, while Level B indicates that the monitoring items and data are normal. When the target monitoring site is at Level A, a corresponding monitoring item optimization reminder is generated. When the target monitoring site is at Level B, the corresponding environmental assessment coefficient is calculated based on the real-time data of each monitoring item.
[0098] In practical applications, in one embodiment, for a Class B target monitoring site, the following operations are performed to calculate the corresponding environmental assessment coefficient:
[0099] According to the computational requirements, select the set computational data from the acquired real-time monitoring data and input it into the pre-built corresponding evaluation coefficient calculation model to determine the corresponding environmental evaluation coefficient; wherein, there are multiple evaluation coefficient calculation models, which are established based on the historical monitoring data of the target monitoring site and combined with historical environmental evaluation coefficients.
[0100] In practical applications, in one optional embodiment, taking groundwater and soil gas as examples, the single-factor pollution index of each pollutant element is calculated based on real-time online monitoring data. Then, the corresponding Nemerow comprehensive pollution index is calculated based on different combinations of pollutants. Based on the Nemerow comprehensive pollution index of each point in the target monitoring site, interpolation calculation is performed to obtain the pollution distribution of groundwater and soil gas in the site.
[0101] In one embodiment, during the process of establishing the evaluation coefficient calculation model, the single-factor pollution index corresponding to each pollutant element is calculated based on the historical monitoring data of each target monitoring site, and different combinations of single-factor pollution indices are selected to calculate the Nemerow comprehensive pollution index for different pollution types, which serves as the historical environmental evaluation coefficient, and the corresponding different evaluation coefficient calculation models are trained.
[0102] Specifically, in one embodiment, the multi-dimensional display module of the system includes: an overall display level and an enterprise display level. The overall display level uses an administrative division map for display, and the points on the administrative division map represent target detection points. By setting different query conditions, the online data status of the selected area can be displayed.
[0103] The multi-dimensional display module is equipped with a real-time interactive mechanism. Clicking on a specific point on the overall display map will take you to the enterprise display layer, where the basic information and monitoring information of the enterprise corresponding to the target monitoring location will be displayed in detail. Each point in the enterprise display layer represents a monitoring device point that has been deployed. Different enterprise data displays can be shown by setting different query conditions.
[0104] Specifically, both the overall display level and the enterprise display level include a visual map display section and a data display section. The enterprise display level uses an enterprise geographic information map and an enterprise digital factory simulation map. The points on the enterprise geographic information map represent specific monitoring points. The map displays early warning and alarm information for each point as well as the real-time distribution of soil, air and groundwater pollution. By setting different query conditions, the online monitoring status of the selected area can be displayed. The enterprise digital factory simulation map displays the three-dimensional distribution of the above-ground devices or buildings of each monitoring point. It also displays the enterprise's monitoring statistics, including data transmission rate, data effectiveness rate, compliance rate, maximum, minimum and average values of various pollutants, and provides a brief description of the site's history.
[0105] Data can be displayed at the enterprise level, and specific locations can also be displayed on the geographic information map. Clicking on a specific monitoring point will display content including historical fluctuations in pollutant monitoring concentrations, groundwater level fluctuations, lithological distribution of the point, and online video monitoring of the monitoring point.
[0106] By setting range query conditions on the visualized map, the prompting module can statistically analyze various online monitoring items within the selected range based on the selected administrative region and major river basin. It can then issue targeted alarms for exceeding the standards within the selected range. While displaying alarm signals for the set administrative division map points and enterprise geographic information map points for exceeding the standards, it also pushes the exceeding information to relevant management personnel. It should be noted that the purpose of risk warning is to determine the warning level and issue an alert for different pollution situations. Specifically, the warning level can be divided based on the assessment results combined with the activity data of organisms inside and around the corresponding enterprise.
[0107] The system described in the above embodiments of this invention can construct a visualized underground environmental monitoring, early warning, and risk management system. It enables the input, querying, and statistical analysis of multi-source heterogeneous site environmental data, visually displaying the distribution of pollution in planar and spatial dimensions, stratigraphic lithology, groundwater flow field, sensitive receptors, and a comprehensive site pollution conceptual model. It provides early warnings for different pollution risk levels and offers optimal feasible technologies for different warning levels, thereby achieving full-process, closed-loop management of soil and groundwater pollution in petrochemical sites. Furthermore, it constructs a user-friendly and high-precision big data computing-supported site environmental monitoring, early warning, and risk management system. This system integrates an intelligent management system encompassing data collection, analysis, querying, site pollution characterization, early warning prediction, and decision support, achieving one-stop intelligent supervision of site data and improving the efficiency of site pollution prevention and remediation.
[0108] In the real-time monitoring system for underground environments of risk sites provided in this embodiment of the invention, each module or unit structure can operate independently or in combination according to actual monitoring and analysis needs to achieve the corresponding technical effects.
[0109] Example 2
[0110] The systems described in detail in the above-disclosed embodiments of the present invention are based on other aspects of the methods described in any one or more of the above embodiments. The present invention also provides a method for real-time monitoring of the underground environment of a risk site, which is applied to the system for real-time monitoring of the underground environment of a risk site described in any one or more of the above embodiments. Specific embodiments are described in detail below.
[0111] Specifically, the figure shows a flowchart of a method for real-time monitoring of the underground environment of a risk site provided in an embodiment of the present invention. As shown in the figure, the method includes:
[0112] The database construction steps include acquiring basic data on pollution sources, receptor objects, and environmental monitoring data for each site within the target area, and establishing a basic database based on the acquired data to provide a basis for regulatory analysis.
[0113] The analysis and evaluation process involves integrating data from the basic database to assess the current underground environmental status and the impact of the target objects at each selected monitoring site, and generating corresponding optimization strategies based on the evaluation results.
[0114] The multi-dimensional display steps, database information on different target monitoring sites within the target area, evaluation results, and optimization strategies are combined with map information to present various forms of visualization.
[0115] The method also includes a prompting step, generating corresponding early warning information when the evaluation results meet the set conditions, and issuing it both on-site and remotely.
[0116] Specifically, in one embodiment, the database construction step further includes the following operations:
[0117] The research steps involve compiling basic information on above-ground objects and organisms within the target area by combining satellite map information and data on buildings, residents, and business activities in the area.
[0118] The data acquisition steps are as follows: Based on the basic information obtained from statistics, select one or more above-ground targets that meet the data collection requirements as target monitoring sites, and collect basic data on pollution sources, receptor data, and environmental monitoring data at each monitoring point;
[0119] The database construction steps include establishing multiple storage areas compatible with various data structures, supporting data input, query, output, and editing functions, and used to import, store, and manage the data collected by the data acquisition module.
[0120] Furthermore, in one embodiment, the basic information of the above-ground targets collected in the survey step includes: the usage status, business type, address information, and environmental monitoring implementation status of the above-ground targets within the target area; the basic information of the above-ground organisms includes: biological species, biological density, and the use of sensitive resources.
[0121] In one embodiment, the data acquisition step includes:
[0122] The above-ground objects that are in use or have been used and whose business type is a preset high-risk type are selected as the target monitoring sites. Each target monitoring point is classified based on the environmental monitoring implementation status, the species and density of above-ground organisms, and the use of sensitive resources.
[0123] Furthermore, in one embodiment, the following data storage areas are established in the database construction step: a risk enterprise basic information database, an equipment and facility information database, a sensitive receptor information database, a pollution migration information database, and a monitoring project information database;
[0124] The risk enterprise basic information database is used to store and manage the business type, enterprise address, basic attributes and level information of the target monitoring area;
[0125] The equipment and facility information database is used to store and manage specific information about the functional zones within the target detection point, including but not limited to: map information of each functional zone within the enterprise, information on above-ground and underground equipment and facilities, process flow data, and information on waste generation and discharge;
[0126] The sensitive receptor information database is used to store the number, distribution, and underground resource usage of sensitive organisms in different areas of the target monitoring site.
[0127] The pollution migration information database is used to store and manage the geological and stratigraphic characteristics of different areas of the target detection point;
[0128] The monitoring project information database is used to store and manage historical and real-time underground environmental monitoring data of the target monitoring points, including but not limited to soil and groundwater monitoring data.
[0129] Each data storage area includes multiple structured data areas to accommodate different data structures.
[0130] In practical applications, in one embodiment, the analysis and evaluation steps include the following operations:
[0131] For different areas of each target monitoring site, pollution control indicators are set according to the pollution risk management standards of soil and groundwater, matching the basic data of pollution sources and receptor objects, and stored in the basic database for use as the basis for analysis to assess the state of the underground environment and the degree of impact on receptor objects.
[0132] Based on the obtained underground environmental monitoring status and monitoring data, analysis and calculation are performed to generate an environmental assessment coefficient for the target monitoring site. Then, the environmental assessment coefficient is compared with pollution control indicators to obtain the assessment result.
[0133] The monitoring status includes different levels, including at least Level A: monitoring items are incomplete or data is invalid; Level B: monitoring items and data are normal; when the target monitoring site is Level A, a corresponding monitoring item optimization reminder is generated; when the target monitoring site is Level B, the corresponding environmental assessment coefficient is calculated based on the real-time data of each monitoring item.
[0134] Specifically, for Class B target monitoring sites, the following steps are performed to calculate the corresponding environmental assessment coefficient:
[0135] Based on the computational requirements, select the set computational data from the acquired real-time monitoring data, input it into the pre-built corresponding evaluation coefficient calculation model, and determine the corresponding environmental evaluation coefficient.
[0136] The evaluation coefficient calculation model has multiple components, which are established based on historical monitoring data of the target monitoring site and combined with historical environmental evaluation coefficients.
[0137] In one embodiment, during the process of establishing the evaluation coefficient calculation model, the single-factor pollution index corresponding to each pollutant element is calculated based on the historical monitoring data of each target monitoring site, and different combinations of single-factor pollution indices are selected to calculate the Nemerow comprehensive pollution index for different pollution types, which serves as the historical environmental evaluation coefficient, and the corresponding different evaluation coefficient calculation models are trained.
[0138] Furthermore, in one embodiment, in the multi-dimensional display step, an overall display layer and an enterprise display layer are set. The overall display layer uses an administrative division map for display, and the points on the administrative division map represent target detection points. By setting different query conditions, the online data status of the selected area can be displayed.
[0139] The multi-dimensional display module is equipped with a real-time interactive mechanism. Clicking on a specific point on the overall display map will take you to the enterprise display layer, where the basic information and monitoring information of the enterprise corresponding to the target monitoring location will be displayed in detail. Each point in the enterprise display layer represents a monitoring device point that has been deployed. Different enterprise data displays can be shown by setting different query conditions.
[0140] For the foregoing method embodiments, in order to simplify the description, they are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.
[0141] It should be noted that, in other embodiments of the present invention, the method can also be combined with one or more of the above embodiments to obtain a new underground environment monitoring method, so as to achieve synchronous monitoring of the underground environment in the region.
[0142] Based on the methods in any one or more of the above embodiments of the present invention, the present invention also provides a storage medium storing program code that can implement the methods described in any one or more of the above embodiments, which, when executed by an operating system, can implement the method for real-time monitoring of the underground environment of a risk site as described above.
[0143] It should be understood that the embodiments disclosed herein are not limited to the specific structures, processing steps, or materials disclosed herein, but should be extended to equivalent substitutions of these features as understood by those skilled in the art. It should also be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting.
[0144] The phrase "an embodiment" in the specification means that a specific feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Therefore, the phrase "an embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment.
[0145] While the embodiments disclosed in this invention are as described above, the content is merely for the purpose of facilitating understanding of the invention and is not intended to limit the invention. Any person skilled in the art to which this invention pertains may make any modifications and variations in form and detail of the implementation without departing from the spirit and scope disclosed herein; however, the scope of patent protection for this invention shall still be determined by the scope defined in the appended claims.
Claims
1. A system for real-time monitoring of the underground environment of a risky site, characterized in that, The system includes: The database construction module is configured to acquire basic data on pollution sources, receptor objects, and environmental monitoring data for each site within the target area, and to establish a basic database based on the acquired data to provide a basis for regulatory analysis. The analysis and evaluation module is configured to integrate data from the basic database to evaluate the current underground environmental status and the degree of impact on the recipient objects of each selected target monitoring site, and generate corresponding optimization strategies based on the evaluation results. The multi-dimensional display module is used to visualize database information, evaluation results, and optimization strategies of different target monitoring sites within the target area in various forms, combined with map information. The alert module, which is communicatively connected to the analysis and evaluation module, is configured to generate corresponding early warning alert information when the evaluation results meet the set conditions, and to publish it both on-site and remotely. The control module is used to generate control commands and, in conjunction with communication technology, control the operation of each functional module. The database construction module includes: The survey unit is configured to collect basic information on above-ground objects and organisms within the target area by combining satellite map information of the target area with data on buildings, residents, and business operations in the area. The data acquisition unit is configured to select one or more above-ground targets that meet the data collection requirements as target monitoring sites based on the basic information obtained from statistics, and to collect basic pollution source data, receptor object data and environmental monitoring data at each monitoring point. The analysis and evaluation module includes: The assessment indicator determination unit is configured to set pollution control indicators that match the basic data of pollution sources and the data of receptor objects for different areas of each target monitoring site, based on the pollution risk management standards of soil and groundwater, and store them in the basic database for use as the basis for analysis to assess the state of the underground environment and the degree of impact on receptor objects. The calculation and evaluation unit is configured to analyze and calculate the acquired underground environmental monitoring status and data to generate an environmental assessment coefficient for the target monitoring site. This environmental assessment coefficient is then compared with pollution control indicators to obtain an evaluation result. The monitoring status includes different levels, at least Level A and Level B. Level A indicates incomplete monitoring items or invalid data, while Level B indicates normal monitoring items and data. When the target monitoring site is Level A, a corresponding monitoring item optimization reminder is generated. When the target monitoring site is Level B, the corresponding environmental assessment coefficient is calculated based on the real-time data of each monitoring item. The database construction unit is configured to establish multiple storage areas compatible with various data structures, and supports data input, query, output and editing functions. It is used to import, store and manage the data collected by the data acquisition unit. For Class B target monitoring sites where monitoring items and data are normal, the analysis and evaluation module performs the following operations to calculate the corresponding environmental assessment coefficient: Based on the computational requirements, select the set computational data from the acquired real-time monitoring data, input it into the pre-built corresponding evaluation coefficient calculation model, and determine the corresponding environmental evaluation coefficient. Among them, there are multiple evaluation coefficient calculation models, which are established based on historical monitoring data of the target monitoring site and combined with historical environmental evaluation coefficients. The multi-dimensional display module includes an overall display level and an enterprise display level. The overall display level uses an administrative division map for display, with points on the administrative division map representing target detection points. By setting different query conditions, the online data status of the selected area can be displayed. The multi-dimensional display module is equipped with a real-time interactive mechanism. Clicking on a specific point on the overall display map will take you to the enterprise display layer, where the basic information and monitoring information of the enterprise corresponding to the target monitoring location will be displayed in detail. Each point in the enterprise display layer represents a monitoring device point that has been deployed. Different enterprise data displays can be shown by setting different query conditions.
2. The system according to claim 1, characterized in that, The basic information on above-ground objects collected by the survey unit includes: the usage status, business type, address information, and environmental monitoring implementation status of above-ground objects within the target area; the basic information on above-ground organisms includes: biological species, biological density, and the use of sensitive resources.
3. The system according to claim 1, characterized in that, The data acquisition unit is configured as follows: The above-ground objects that are in use or have been used and whose business type is a preset high-risk type are selected as the target monitoring sites. Each target monitoring site is classified based on the implementation status of environmental monitoring, the species and density of above-ground organisms, and the use of sensitive resources.
4. The system according to claim 1, characterized in that, The data storage areas established by the database construction unit include: a basic information database for risky enterprises, an equipment and facility information database, a sensitive receptor information database, a pollution migration information database, and a monitoring project information database; The risk enterprise basic information database is used to store and manage the business type, enterprise address, basic attributes and level information of the target monitoring area; The equipment and facility information database is used to store and manage specific information about the functional zones within the target detection point, including: map information of each functional zone within the enterprise, information on above-ground and underground equipment and facilities, process flow data, and information on waste generation and discharge; The sensitive receptor information database is used to store the number, distribution, and underground resource usage of sensitive organisms in different areas of the target monitoring site. The pollution migration information database is used to store and manage the geological and stratigraphic characteristics of different areas of the target detection point; The monitoring project information database is used to store and manage historical and real-time underground environmental monitoring data of the target monitoring points, including soil and groundwater monitoring data. Each data storage area includes multiple structured data areas to accommodate different data structures.
5. The system according to claim 1, characterized in that, In the process of establishing the evaluation coefficient calculation model, the single-factor pollution index corresponding to each pollutant element is calculated based on the historical monitoring data of each target monitoring site, and different combinations of single-factor pollution indices are selected to calculate the Nemerow comprehensive pollution index for different pollution types, which serves as the historical environmental evaluation coefficient, and the corresponding different evaluation coefficient calculation models are trained.
6. A method for real-time monitoring of the underground environment of a risk site, characterized in that, The method is applied to the system as described in any one of claims 1 to 5, and the method includes: Database construction steps: Obtain basic data on pollution sources, receptor data, and environmental monitoring data for each site within the target area, and establish a basic database based on the acquired data to provide a basis for regulatory analysis; Analysis and evaluation steps: Based on the data in the basic database, evaluate the current underground environmental status and the degree of impact on the recipient objects of each selected target monitoring site, and generate corresponding optimization strategies based on the evaluation results; Multi-dimensional display steps: Database information, evaluation results, and optimization strategies for different target monitoring sites within the target area are combined with map information to display them in various forms of visualization; The method also includes a prompting step: when the evaluation results meet the set conditions, a corresponding early warning prompt message is generated and published both on-site and remotely.
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