CN-122019644-A - Industrial park three-level environment risk evaluation linkage method and system

CN122019644ACN 122019644 ACN122019644 ACN 122019644ACN-122019644-A

Abstract

The invention provides a three-level environment risk evaluation linkage method and system for an industrial park, relates to the technical field of environment risk management, and aims to realize a unified semantic framework of enterprise-level, special-level and park-level data by constructing an environment risk evaluation body. According to the method, an event-driven dynamic updating mechanism is adopted, data recalculation and risk map adjustment are automatically triggered, and timeliness and accuracy of environment risk response are improved. The whole system effectively solves the problems of data island, update lag, verification missing and the like, and provides real-time and accurate decision support for environmental management of an industrial park.

Inventors

CHEN XI
CHEN CHEN
LIU HUANGRUI
YAN HAIHU

Assignees

中南大学
生态环境部华南环境科学研究所(生态环境部生态环境应急研究所)

Dates

Publication Date: 20260512
Application Date: 20251202

Claims (10)

1. The three-level environment risk evaluation linkage method for the industrial park is characterized by comprising the following steps of: converting enterprise-level data, special-level data and campus-level data into a unified semantic framework based on an environment risk assessment ontology to obtain standardized data; Designing an event-triggered updating chain rule base, defining logic association of enterprise-level parameter change events and special-level data and park-level data updating according to the event-triggered updating chain rule base, and obtaining updating rules; Automatically triggering special-level data recalculation and campus-level risk map hot spot area adjustment based on the standardized data and the updating rule, and generating a real-time updated risk map; Comparing the park-level data with the enterprise-level data through a contradiction detection algorithm, starting reverse feedback if the threshold value is exceeded, and pushing a data check request to the enterprise-level system.
2. The three-level environment risk evaluation linkage method for the industrial park according to claim 1, wherein the enterprise-level data comprise production process parameters, dangerous material lists and equipment state records in an Excel table, the special-level data comprise water environment emergency space layout and pipe network path information in a CAD drawing, and the park-level data comprise risk index models and grid geographic information in a GIS platform.
3. The industrial park three-level environmental risk assessment linkage method according to claim 1, wherein converting the enterprise-level data, the special-level data and the park-level data into a unified semantic framework based on the environmental risk assessment ontology to obtain standardized data comprises: Acquiring original data at a preset data source, and classifying and sorting the data type and format of the original data to obtain the enterprise-level data, the special-level data and the campus-level data; An environment risk assessment body is constructed based on an OWL semantic framework, and a core element is defined according to the environment risk assessment body, wherein the core element comprises entity classes, attribute classes and relation classes, the entity classes comprise dangerous substances, production facilities and environment sensitive areas, the attribute classes comprise substance storage capacity, equipment failure probability and emergency space capacity, and the relation classes comprise substance leakage paths, space association of facilities and the environment and risk conduction links; mapping rules from an original format to an ontology model are formulated for each type of data source in the enterprise-level data, the private-level data and the campus-level data; And executing the mapping rule by an automation tool to complete data conversion so as to obtain the standardized data.
4. The industrial park three-level environmental risk assessment linkage method of claim 3, wherein the mapping rules comprise: Mapping the 'hazardous substance name' in the enterprise-level data to the hazardous substance class in the ontology and associating storage space attributes; Mapping the emergency pool position in the special level data to an environment sensitive area class in the body, and associating space coordinate attributes; the "risk hotspots" in the campus level data are mapped to risk conduction link relationships in the ontology and associated risk intensity value attributes.
5. The industrial park three-level environmental risk assessment linkage method of claim 3, wherein performing the mapping rules by an automation tool to complete data conversion to obtain the standardized data comprises: Analyzing the enterprise data into RDF triples and filling the RDF triples into an ontology model; Converting the geometric data in the special grade data into a GeoJSON format compatible with GIS, and binding the attribute of the body; integrating the campus level data into a risk-conducting link relationship network in an ontology.
6. The industrial park three-level environmental risk assessment linkage method of claim 1, wherein the updating rules comprise: Triggering recalculation of the emergency space capacity of the special-grade water environment and updating of the wastewater transfer path when dangerous substances or equipment are newly added to an enterprise; and when the capacity of the public emergency facility of the park is adjusted, triggering the validity evaluation of the enterprise-level prevention and control measures.
7. The industrial park three-level environmental risk assessment linkage method according to claim 1, wherein automatically triggering special-level data recalculation and park-level risk map hot spot area adjustment based on the standardized data and the update rule, generating a real-time updated risk map comprises: Monitoring change events of enterprise-level, special-level and park-level data sources in real time, and analyzing event types and associated parameters; according to the updating rule, a special grade data analysis model is called to carry out recalculation, and a special grade recalculation result is obtained; reevaluating the risk index based on the special level recalculation results and the campus level geographic information; According to the updated risk index, hot spot region labels of the park-level risk map are adjusted to obtain updated hot spot regions; and visually displaying the updated hot spot areas, the emergency facility positions and the risk conduction paths by using a GIS platform to obtain the risk map.
8. The industrial park three-level environmental risk assessment linkage method according to claim 7, wherein the risk index is calculated according to the formula: Wherein, the As an index of the risk (risk) of, Is the first The storage amount of the dangerous material-like substance, Is the first The probability of leakage of the class of substances, Is the first The emergency-like space capacity is similar to that of an emergency space, For the integrated sensitivity of the environmentally sensitive area, For a preset maximum environmental sensitivity threshold, For the risk weighting factor at the enterprise level, For the purpose of amplifying the coefficient of the environmental sensitivity, As a time-decay factor, Days for data not updated.
9. The industrial park three-level environmental risk assessment linkage method according to claim 1, wherein comparing park-level data with enterprise-level data through a contradiction detection algorithm, starting reverse feedback if a threshold is exceeded, pushing a data check request to an enterprise-level system, comprising: Converting the enterprise-level data and the campus-level data into unified comparison standards, wherein the enterprise-level data and the campus-level data after the unified comparison standards are respectively as follows: And Wherein, the method comprises the steps of, In order for the probability of a leak to occur, For the storage of dangerous substances, In order for the equipment to fail at a rate, For unifying the enterprise-level data after the comparison benchmark; for the historical accident rate of the enterprises of the same kind, As an index of the risk of the region, For uniformly comparing the park-level data after the reference; Establishing a correlation model of the enterprise-level data and the campus-level data after unified comparison standard based on a statistical method to obtain a predicted accident rate Sum residual error The formula of the association model is as follows: The calculation formula of the residual error is as follows: Wherein, the method comprises the steps of, For the slope of the regression analysis, Intercept for regression analysis; If it is Marked as "first level anomaly"; If it is And is also provided with Marked as "secondary anomaly"; Generating a feedback instruction according to the abnormality level, automatically pushing a data check request to an enterprise-level system when the first level is abnormal, and requiring re-checking When the second level is abnormal, pushing early warning to the park management end synchronously, and freezing the display of the enterprise risk value in the park map until the checking is completed; After the enterprise receives the request, uploading the revised data and the evidence material through a visual platform; If the revised data passes the verification, updating the enterprise-level database and releasing the freezing of the campus map.
10. Three-level environment risk evaluation linked system of industrial park, characterized by comprising: The cross-level data mapping unit is used for converting enterprise-level data, special-level data and park-level data into a unified semantic frame based on the environment risk assessment ontology to obtain standardized data; The event-driven dynamic updating unit is used for designing an event-triggered updating chain rule base, defining logic association of enterprise-level parameter change events and special-level data and park-level data updating according to the event-triggered updating chain rule base, and obtaining updating rules; the risk map updating unit is used for automatically triggering special-level data recalculation and campus-level risk map hot spot area adjustment based on the standardized data and the updating rule to generate a real-time updated risk map; And the contradiction detection and reverse feedback unit is used for comparing the park-level risk index with the enterprise-level reporting data through a contradiction detection algorithm, starting reverse feedback if the threshold value is exceeded, and pushing a data check request to the enterprise-level system.

Description

Industrial park three-level environment risk evaluation linkage method and system Technical Field The invention relates to the technical field of environmental risk management, in particular to a three-level environmental risk evaluation linkage method and system for an industrial park. Background The environmental risk management of the industrial park adopts a three-level evaluation system, namely an enterprise level, a special level and a park level. According to the enterprise business unit emergency plan record management method (trial run), the enterprise-level evaluation completes risk evaluation through the localization single machine software or paper documents, covers four modules of data collection, risk identification, risk analysis and prevention and control measure evaluation, but has various data formats (such as Excel and paper documents), and cannot automatically trigger other level model synchronization after updating. The special grade evaluation is aimed at a park with prominent water environment risk, and independent software (such as CAD) is adopted to analyze emergency space capacity and pollution paths, but is not compatible with enterprise grade and park grade data (such as CAD and GIS), so that cross-system interaction is difficult. The campus level evaluation is based on an administrative region emergency risk evaluation recommendation method, a GIS platform is utilized to construct a risk map and quantify the overall risk intensity of a region, but the method relies on manual input of enterprise and special data, has a long updating period, and cannot reversely check the rationality of enterprise data (such as low enterprise leakage probability but frequent similar accidents in the park). The main problems of the prior art are focused on three aspects of data island, update lag and verification missing. The data island is derived from three-level system data format isomerism (Excel, CAD, GIS), information is difficult to interact due to lack of a unified interface standard, updating lag is represented by that after enterprise parameters are changed, special and park models need to be manually reintroduced with data, an emergency scheme is disjointed with actual risks, verification missing is represented by that a park-level macroscopic risk index cannot be mutually checked with enterprise-level microscopic data, and data contradiction risks exist (such as obvious deviation of reporting leakage probability and park accident rate of enterprises). The root cause of the method is that the three-level evaluation system lacks a standardized linkage protocol and an automatic updating mechanism, relies on manual coordination and data handling, has low efficiency and is easy to generate errors. The present technology needs a dynamic linkage method to solve the problems of heterogeneous data integration, real-time updating and data mutual inspection. Most of the prior attempts (such as an environment information management platform) are static data warehouses, dynamic analysis of three-level linkage cannot be realized, and alternative schemes such as block chain or federal learning and the like are difficult to popularize due to performance limitation or high implementation complexity. Therefore, an innovative scheme based on semantic mapping, event triggering rules and contradiction correction algorithms is needed to realize automatic synchronization of three-level evaluation data, model mutual inspection and real-time early warning, and fill the blank of the prior art. Disclosure of Invention In order to overcome the defects of the prior art, the invention aims to provide the three-level environment risk evaluation linkage method and system for the industrial park, which realize the deep fusion of three-level evaluation systems, support the real-time adaptive management of equipment change, policy adjustment and other scenes, and provide accurate and dynamic decision support for the environmental risk prevention and control of the industrial park. In order to achieve the above object, the present invention provides the following solutions: A three-level environment risk evaluation linkage method for an industrial park comprises the following steps: converting enterprise-level data, special-level data and campus-level data into a unified semantic framework based on an environment risk assessment ontology to obtain standardized data; Designing an event-triggered updating chain rule base, defining logic association of enterprise-level parameter change events and special-level data and park-level data updating according to the event-triggered updating chain rule base, and obtaining updating rules; Automatically triggering special-level data recalculation and campus-level risk map hot spot area adjustment based on the standardized data and the updating rule, and generating a real-time updated risk map; Comparing the park-level data with the enterprise-level data through a contradiction detect