CN112613740A - Visualization platform and method for risk level evaluation of enterprise emergency environment event - Google Patents
Visualization platform and method for risk level evaluation of enterprise emergency environment event Download PDFInfo
- Publication number
- CN112613740A CN112613740A CN202011543600.4A CN202011543600A CN112613740A CN 112613740 A CN112613740 A CN 112613740A CN 202011543600 A CN202011543600 A CN 202011543600A CN 112613740 A CN112613740 A CN 112613740A
- Authority
- CN
- China
- Prior art keywords
- enterprise
- index
- risk
- matrix
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000012800 visualization Methods 0.000 title claims abstract description 31
- 230000000007 visual effect Effects 0.000 claims abstract description 25
- 230000002265 prevention Effects 0.000 claims abstract description 8
- 238000009877 rendering Methods 0.000 claims abstract description 7
- 238000012821 model calculation Methods 0.000 claims abstract description 6
- 238000011002 quantification Methods 0.000 claims abstract description 4
- 238000007794 visualization technique Methods 0.000 claims abstract description 3
- 230000007613 environmental effect Effects 0.000 claims description 59
- 239000011159 matrix material Substances 0.000 claims description 52
- 239000000126 substance Substances 0.000 claims description 29
- 238000004458 analytical method Methods 0.000 claims description 13
- 238000004880 explosion Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 11
- 239000002360 explosive Substances 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 11
- 230000035939 shock Effects 0.000 claims description 7
- SPSSULHKWOKEEL-UHFFFAOYSA-N 2,4,6-trinitrotoluene Chemical compound CC1=C([N+]([O-])=O)C=C([N+]([O-])=O)C=C1[N+]([O-])=O SPSSULHKWOKEEL-UHFFFAOYSA-N 0.000 claims description 5
- 239000000015 trinitrotoluene Substances 0.000 claims description 5
- 210000001503 joint Anatomy 0.000 claims description 4
- 238000012502 risk assessment Methods 0.000 claims description 4
- 231100000290 environmental risk assessment Toxicity 0.000 abstract description 2
- 238000011160 research Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 9
- 239000007788 liquid Substances 0.000 description 8
- 239000002341 toxic gas Substances 0.000 description 7
- 238000004519 manufacturing process Methods 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 5
- PAWQVTBBRAZDMG-UHFFFAOYSA-N 2-(3-bromo-2-fluorophenyl)acetic acid Chemical compound OC(=O)CC1=CC=CC(Br)=C1F PAWQVTBBRAZDMG-UHFFFAOYSA-N 0.000 description 4
- 238000003912 environmental pollution Methods 0.000 description 4
- 230000002452 interceptive effect Effects 0.000 description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 150000001875 compounds Chemical class 0.000 description 3
- 238000013079 data visualisation Methods 0.000 description 3
- 238000009826 distribution Methods 0.000 description 3
- 239000003344 environmental pollutant Substances 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 239000000383 hazardous chemical Substances 0.000 description 3
- 229910001385 heavy metal Inorganic materials 0.000 description 3
- 231100000614 poison Toxicity 0.000 description 3
- 231100000719 pollutant Toxicity 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 239000003440 toxic substance Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000006227 byproduct Substances 0.000 description 2
- 239000003054 catalyst Substances 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000013067 intermediate product Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 239000000047 product Substances 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 239000002351 wastewater Substances 0.000 description 2
- 206010000372 Accident at work Diseases 0.000 description 1
- 238000003889 chemical engineering Methods 0.000 description 1
- 230000008846 dynamic interplay Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 230000000452 restraining effect Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000003911 water pollution Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a visualization platform and a visualization method for evaluating risk level of an enterprise emergency environment event. The visualization platform adopts a B/S framework, uploads the result data of the environmental risk assessment to a data server, and calls back a data slice in a form of calling service in a request mode at a Web end for visualization expression, and comprises the following modules: the database module is used for building a platform database based on an open source GIS data server GeoServer and storing data collected in real time into the database; the input variable module is used for inputting the risk factors of the enterprise emergency environment to construct an enterprise emergency environment risk evaluation index system; the model calculation module is used for enterprise emergency environment risk level division and safety protection distance determination; and a result output module: the method is used for generating visual expression for enterprise environment risk level division and safety prevention and control distance quantification grading results and rendering and displaying the visual expression at a web end.
Description
Technical Field
The invention relates to the field of environmental emergency management systems, in particular to a visualization platform and a visualization method for risk level evaluation of an enterprise emergency environment event.
Background
The data are processed scientifically and quickly, and the enterprise is subjected to sudden environmental risk evaluation and risk visualization results, so that the premise of effective environmental risk management is provided. The environmental protection department has issued "Risk assessment guidelines (trial) for sudden environmental events of enterprises" in 2004, and the national environmental protection department of 2018 has issued "grading method for sudden environmental events of enterprises" (HJ 941-. In related research, when an enterprise sudden environment risk is evaluated, data is acquired mainly based on a limited research object (such as a single industrial enterprise, an industrial park and the like), indexes are established, and grading are performed, so that the workload of key personnel, such as repeated reporting, is too heavy, and the problems of low efficiency, high cost, difficult data acquisition and small audience are caused.
With the technological progress, the advantages of the technologies such as the internet, the internet of things and the like in the emergency monitoring and management of the enterprise emergency environmental risks are more and more obvious. The information multidimensional model modeling and informatization cooperation technology is an effective technical means for supporting the treatment of high-complexity problems in the society. The technology based on 'internet +' and the like is combined with the acquired data, so that the sudden environmental pollution risk can be effectively prevented and controlled from the source.
Therefore, in order to prevent and control major environmental pollution events, realize orderly management and scientific decision of enterprise environmental risk sources, develop visual research on enterprise sudden environmental risk level evaluation, and provide effective technical support for restraining the frequent situation of the major environmental pollution events in China at present.
Disclosure of Invention
The invention aims to provide a visual platform and a visual method for evaluating the risk level of an enterprise emergency environment event, which are convenient to use. Therefore, the invention adopts the following specific technical scheme:
according to one aspect of the invention, a visualization platform for enterprise emergency environment event risk level evaluation is provided, wherein the visualization platform adopts a B/S architecture, uploads result data of environment risk evaluation to a data server, and calls back a data slice in a form of calling service by a request at a Web end for visualization expression, and comprises the following modules:
the system comprises a database module, a database module and a database management module, wherein the database module is used for building a platform database based on an open-source GIS data server GeoServer and storing data collected in real time into the database, and the data comprises enterprise basic information, enterprise industry categories, the number of times of sudden environmental risk accidents of an enterprise in the last decade, the types/existing amounts of enterprise risk substances, general survey data of sudden environmental risk information of the enterprise, regional remote sensing images, land utilization type graphs, vector data, population density and human-average GDP;
the input variable module is used for inputting the risk factors of the enterprise emergency environment to construct an enterprise emergency environment risk evaluation index system;
the system comprises a model calculation module and a safety protection distance determination module, wherein the model calculation module is divided into two major sub-modules, namely an enterprise emergency environment risk grading module and a safety protection distance determination module, wherein the enterprise emergency environment risk grading module is used for completing AHP modeling of regional enterprise environment risk evaluation according to various indexes, calculating a final enterprise environment risk index and determining an enterprise emergency environment risk grade; the safety protection distance determining module is used for determining the safety protection distances of the sudden environmental risks of different enterprises based on an accident consequence method, a quantitative risk analysis method and a standard and normative method;
and the result output module is used for dividing the enterprise environment risk level, generating visual expression by the safety prevention and control distance quantitative grading result, rendering and displaying the visual expression at a web end, and subdividing the visual expression into a space data visual expression based on a map base map and a statistical data visual expression based on a chart.
Further, the specific process of enterprise emergency environment risk level classification is as follows:
establishing a judgment matrix by using an analytic hierarchy process through a questionnaire survey and expert scoring form, and calculating to obtain each index weight;
a judgment matrix of the enterprise emergency environment risk evaluation structure model is constructed by AHP, a 1-9 scaling method is adopted for important degree assignment, and the consistency of the judgment matrix is checked:
CR＝CI/RI
wherein, CI is an index for judging matrix deviation, CR is a random consistency ratio, and CR is the index for judging matrix deviation<When the matrix is 0 and l, the matrix meets the requirement of consistency, otherwise, the matrix is corrected to ensure consistency; lambda [ alpha ]maxIs the maximum characteristic root of the matrix; n is the matrix order; RI is an average random consistency index;
aiming at effective questionnaire analysis, AHP modeling discussion is implemented, and 13 index weights are used;
aiming at the weight analysis results of 13 indexes, a scoring principle of each index of the enterprise sudden environment risk evaluation is given through butt joint with relevant standards and on the basis of document reading and expert consultation;
and (3) obtaining a final enterprise environmental risk index through weighting calculation and summation based on the index scores, and determining the enterprise sudden environmental risk level: low, medium, high and extremely high, and the specific operational formula is as follows:
wherein H is the final sudden environment risk index of the enterprise, w is the weight occupied by each index, and H is the scoring result of each index.
Further, a specific calculation formula for determining the safety protection distance based on the accident consequence method is as follows:
wherein, Δ p is the overpressure value of the air shock wave, and the unit is 105 pascal (Pa);
q is the equivalent weight of the trinitrotoluene explosive in one explosion, and the unit is thousands (kg);
r is the distance of the explosion point from the protection target, and the unit is meter (m).
According to another aspect of the present invention, there is also provided a method for visualizing risk level evaluation of an enterprise emergency environment event, which may include the following steps:
s1, a platform database is built based on an open source GIS data server GeoServer, and data collected in real time are stored in the database, wherein the data comprise enterprise basic information, enterprise industry types, the number of times of sudden environmental risk accidents of an enterprise in the last decade, the types/existing amounts of enterprise risk substances, general survey data of sudden environmental risk information of the enterprise, regional remote sensing images, land utilization type graphs, vector data, population density and population per capita GDP;
s2, inputting the risk factors of the enterprise emergency environment to construct an enterprise emergency environment risk evaluation index system;
s3, carrying out enterprise emergency environment risk level division and safety protection distance determination;
and S4, carrying out enterprise environment risk level division and safety prevention and control distance quantification grading result to generate visual expression, and rendering and displaying on a web end.
Further, the specific process of enterprise emergency environment risk level classification is as follows:
establishing a judgment matrix by using an analytic hierarchy process through a questionnaire survey and expert scoring form, and calculating to obtain each index weight;
a judgment matrix of the enterprise emergency environment risk evaluation structure model is constructed by AHP, a 1-9 scaling method is adopted for important degree assignment, and the consistency of the judgment matrix is checked:
CR＝CI/RI
wherein, CI is an index for judging matrix deviation, CR is a random consistency ratio, and CR is the index for judging matrix deviation<When the matrix is 0 and l, the matrix meets the requirement of consistency, otherwise, the matrix is corrected to ensure consistency; lambda [ alpha ]maxIs the maximum characteristic root of the matrix; n is the matrix order; RI is an average random consistency index;
aiming at effective questionnaire analysis, AHP modeling discussion is implemented, and 13 index weights are used;
aiming at the weight analysis results of 13 indexes, a scoring principle of each index of the enterprise sudden environment risk evaluation is given through butt joint with relevant standards and on the basis of document reading and expert consultation;
and (3) obtaining a final enterprise environmental risk index through weighting calculation and summation based on the index scores, and determining the enterprise sudden environmental risk level: low, medium, high and extremely high, and the specific operational formula is as follows:
wherein H is the final sudden environment risk index of the enterprise, w is the weight occupied by each index, and H is the scoring result of each index.
Further, a specific calculation formula for determining the safety protection distance based on the accident consequence method is as follows:
wherein, Δ p is the overpressure value of the air shock wave, and the unit is 105 pascal (Pa);
q is the equivalent weight of the trinitrotoluene explosive in one explosion, and the unit is thousands (kg);
r is the distance of the explosion point from the protection target, and the unit is meter (m).
By adopting the technical scheme, the invention has the beneficial effects that: the WebGL-based emergency environmental risk visualization platform plays the advantages of technologies such as Internet +, Internet of things and the like in enterprise emergency environmental risk emergency monitoring and management, and data can be effectively prevented and controlled from the source based on the technology such as Internet plus and the like in combination with acquired data, so that the ordered management and scientific decision of enterprise environmental risk sources are realized, the visualization research of enterprise emergency environmental risk level evaluation is developed, effective technical support can be provided for the frequent situation of major environmental pollution events, and the visualization platform is convenient to use and visual.
Drawings
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures. Elements in the figures are not drawn to scale and like reference numerals are generally used to indicate like elements.
FIG. 1 is a schematic architecture diagram of a visualization platform for risk level evaluation of an enterprise emergency environment event according to the present invention;
FIG. 2 is a schematic block diagram of a visualization platform for risk level evaluation of an enterprise emergency environment event according to the present invention.
Detailed Description
The invention will now be further described with reference to the accompanying drawings and detailed description.
As shown in FIGS. 1 and 2, a visualization platform for risk level evaluation of an enterprise emergency environment event is used for rapidly and quasi-real-time evaluation of the risk level of the enterprise emergency environment event. The visual platform adopts a B/S architecture, can realize cross-platform sharing to the greatest extent, and meets the browsing requirements of users at the PC, tablet and mobile phone ends. On a Web end, a map making industry benchmark Mapbox is selected as a development platform substrate for spatial data visualization, WebGL is used for combining Java Script and Open GL ES2.0, and a GPU is called to provide three-dimensional hardware accelerated rendering when a browser accesses. The specific software environment is shown in table 1;
TABLE 1 platform software Environment
| Software project | Software environment |
| Server | Apache-Tomcat-7.0.99 |
| Data server | GeoServer 2.16.2 |
| Programming language | HTML、CSS、Java Script |
| Three-dimensional graphical interface | WebGL |
| Visualization platform | Mapbox、Echart |
The visualization platform uploads the result data of the environmental risk assessment to the data server, and returns the data slice in a form of calling service by a request at a Web end for visualization expression. When a user accesses the platform by using a browser, the data slices can be switched in real time through interactive operation, and the layers are rendered and drawn.
The visualization platform comprises the following modules:
(1) a database module: a platform database is built based on an open source GIS data server GeoServer, and real-time collected data are stored in the database and comprise enterprise basic information (organization codes, geographic positions and longitude and latitude information), enterprise industry categories, the number of times of sudden environmental risk accidents of enterprises in nearly ten years, the types/existing amounts of enterprise risk substances, general survey data of sudden environmental risk information of enterprises, regional remote sensing images, land utilization type graphs, vector data (administrative divisions, natural protection areas and ecological red line ranges), population density, and human GDP (global data packet data). The database is constructed by adopting an open source GIS data server GeoServer, which comprises the basic functions of some GIS servers and can basically meet the application development of Web maps.
(2) An input variable module: and constructing an enterprise emergency environment risk evaluation index system based on the determined enterprise emergency environment risk factors. The construction of the environmental risk evaluation index system selects an analytic hierarchy process as a main research method, and comprises the following specific steps:
an enterprise sudden environment risk evaluation index system is constructed by combining the research of three factors, namely an environment risk source, a safety management mechanism and an environment risk receptor and the data acquisition of a database module. The index screening mainly refers to the standards of GB18218-2018 'identification of major dangerous sources of dangerous chemicals', GB50483-2019 'design specifications for environmental protection of chemical engineering construction projects', and the like, and finally screens out 8 indexes of environmental risk substance dangerousness, the ratio of dangerous substance storage to critical amount, industry categories, industrial accident occurrence probability, toxic gas leakage monitoring and early warning measures, throttling measures, accident wastewater collection measures, clean wastewater system prevention and control measures, safety measures, and the like by combining with regional on-site investigation conditions, literature reference, data acquisition and the like; and 5 indexes of human mouth density within 1km of an enterprise, the degree of mixing of a residential area and an industrial area, a receiving water quality function partition and the type of the environmental risk receptors around the enterprise (1km) are supplemented by combining the characteristics of the regional environmental risk receptors. And screening out 13 environmental risk evaluation indexes in total.
(3) A model calculation module: the method comprises two major submodules, namely an enterprise emergency environment risk grade division module and a safety protection distance determination module.
1) Enterprise emergency environment risk grade divides module: and according to the 13 indexes, the AHP modeling of regional enterprise environmental risk evaluation is completed. The model is mainly divided into 3 levels, namely: a target layer A is a core target in an AHP analysis model and is an environmental risk comprehensive index of various enterprises in the invention; a criterion layer B is a classification element of the model index element layer, and comprises dangerous chemicals, safety measures, production process and receptor sensitivity; and thirdly, calculating each specific index of the risk comprehensive value in the model by using the index layer C. The specific steps of enterprise sudden environment risk grading are as follows:
and (4) constructing a judgment matrix by using an analytic hierarchy process through a questionnaire survey and expert scoring form, and calculating to obtain the weight of each index. Table 2 shows the weights of the 13 indices of a certain area obtained by 11 questionnaires.
TABLE 2 weight analysis results of sudden environmental risk indicators in a certain area
Aiming at the weight analysis results of 13 indexes, a scoring principle of each index of the enterprise sudden environment risk evaluation is given out by docking with relevant standards and on the basis of document reading and expert consultation, and the scoring principle is shown in a table 3;
TABLE 3 Enterprise sudden environmental Risk index Scoring principle
A judgment matrix of the enterprise emergency environment risk evaluation structure model is constructed by AHP, a 1-9 scaling method is adopted for important degree assignment, and a judgment matrix test result is shown in a table 4. And (3) checking the consistency of the judgment matrix:
CR＝CI/RI
wherein, CI is an index for judging matrix deviation; CR is a random consistency ratio when CR is<When the matrix is 0 and l, the matrix meets the requirement of consistency, otherwise, the matrix is corrected to ensure consistency; lambda [ alpha ]maxIs the maximum characteristic root of the matrix; n is the matrix order; RI is the average random consistency index.
TABLE 4 judge matrix consistency check
| Index hierarchy | λmax | CR |
| A—B | 3.036 | 0.035 |
| B1—C1～4 | 4.247 | 0.081 |
| B2—C5～8 | 4.176 | 0.065 |
| B3—C9～13 | 5.233 | 0.052 |
And (3) obtaining a final enterprise environmental risk index through weighting calculation and summation based on the index scores, and determining the enterprise sudden environmental risk level: low, medium, high, very high. The concrete operational formula of the final enterprise environmental risk index is as follows:
h is the final sudden environment risk index of the enterprise, w is the weight occupied by each index, and H is the scoring result of each index.
Table 5 shows the risk index (C) of the sudden environment of a certain enterprise1～C13) And (4) scoring.
TABLE 5 sudden environmental risk index rating of an enterprise
Therefore, the comprehensive risk index of the enterprise in the sudden environment is as follows:
according to the scoring condition of the enterprise emergency environment risk index, the embodiment is graded, the grading criterion is shown in table 6, and finally, the comprehensive index of the enterprise emergency environment risk is 3.647 and the emergency environment risk level is extremely high through evaluation.
TABLE 6 threshold criteria for risk classification of an enterprise's emergent environment
| Grade | Threshold value |
| Is low in | 0～1.8 |
| Is lower than | 1.8～2,2 |
| In | 2.2～2.7 |
| Height of | 2.7～3.3 |
2) Safety protection distance determination module: and determining the safety protection distance of the sudden environmental risks of different enterprises based on an accident consequence method, a quantitative risk analysis method and a standard specification method.
Accident consequence method: for enterprises involving flammable and explosive risk substances, an accident consequence method is adopted to determine the external safety protection distance. The calculation method is as follows:
identifying units related to explosives in enterprise production devices and storage facilities, determining the maximum quantity of explosives which can be simultaneously exploded by an enterprise according to the regulations of GB 50089 and 2018, and taking the situation that the explosives in the quantity are simultaneously exploded as the situation of the most serious accident. When ammonium nitrate is stored separately, the accident situation of explosion can be disregarded. When ammonium nitrate in a device or facility is easily influenced by other surrounding combustible substances, inflammable substances, explosive substances or contraindicated substances under extreme conditions, the accident situation of explosion of the ammonium nitrate is considered, and half of the stock of the ammonium nitrate is counted into the maximum explosive quantity of the device or facility which can be exploded simultaneously;
according to the most severe accident scenario and the air shock wave overpressure safety threshold given in table 7, the external safety protection distance is calculated according to the following formula:
in the formula:
Δ p-air shock wave overpressure, in 105 pascals (Pa);
q is the equivalent weight of the trinitrotoluene explosive in one explosion, and the unit is thousands (kg);
r is the distance of the explosion point from the protection target, and the unit is meter (m).
TABLE 7 air shock wave overpressure thresholds for different types of protection targets
The quantitative risk evaluation method comprises the following steps: for enterprises which relate to toxic gas or liquid substances, flammable liquid substances, other toxic substances, substances generating toxic gas when meeting water, heavy metals and compounds thereof, and the sum of the maximum storage capacity and the critical quantity ratio thereof specified in the classification method for enterprise emergency environment events (HJ 941-2018) is more than or equal to 1, a quantitative risk evaluation method is adopted to determine the external safety protection distance.
Standard specification method: the two methods do not meet the requirements of flammable liquid substance enterprises to execute 'architectural design fire protection code' GB 50016-2014 (2018 edition); enterprises that do not meet the above conditions and that involve toxic gases or liquid substances, other toxic substances, substances that generate toxic gases upon contact with water, heavy metals and their compounds determine the safety protection distance according to the sanitary protection distance standard (2012 edition). The method comprises the following specific steps:
and identifying the risk substances according to the types and the quantities of various chemical substances related to the enterprises. The flammable liquid risk substances comprise all risk substances in the fourth part of an enterprise emergency environment event grading method (HJ 941-2018), whether enterprise production raw materials, products, intermediate products, byproducts, catalysts, auxiliary production materials, three-waste pollutants and the like relate to the flammable liquid risk substances or not is judged, the volume of the related flammable liquid substances is calculated, and the minimum safety protection distance of the enterprise is defined according to the size of the volume scale; judging whether the enterprise production raw materials, products, intermediate products, byproducts, catalysts, auxiliary production materials, three-waste pollutants and the like relate to hazardous substances such as toxic gases or liquid substances, other toxic substances, substances generating toxic gases when meeting water, heavy metals and compounds thereof, wherein the hazardous substances comprise all the hazardous substances of the first part, the third part, the fifth part, the sixth part, the seventh part and the eighth part in an enterprise emergency environment event classification method (HJ 941-plus-2018). And defining the minimum safety protection distance of the enterprise according to different industry categories of the enterprise.
(4) A result output module: the method can realize the environmental risk level division and the safety prevention and control distance quantitative grading result generation visual expression of the module enterprises, and is divided into two parts, namely the spatial data visual expression based on a map base map and the statistical data visual expression based on a chart. The user can further know the environmental risk enterprise distribution under different scales and the coverage of the sanitary protection area under different protection threshold values through the dynamic interaction function of the visualization platform.
1) The spatial data visualization is specifically divided into two parts, namely environmental risk level evaluation and a safety protection area. The spatial data visualization module developed based on the dynamic interactive map platform can meet the functional requirements of a user on dragging, zooming, inclining, inputting query, clicking query and the like when in use, and the layer state is adjusted according to the real-time map view angle so as to ensure the rationality of the visualization effect. In a scene with a small scale, a user can know the distribution position of the hazard source and the environmental risk evaluation level thereof through the distribution of the color points; in a scene with a larger scale, a user can highly know the difference between the local enterprise risk levels through the color of the three-dimensional histogram; and the safety protection area is a coverage area of the health protection area generated according to the protection area threshold selected by the user and the safety protection distance standard of each industry obtained comprehensively, and is displayed on the map base map in the form of a map layer. When the map is zoomed and inclined, the pixel points of the map layer can be dynamically adjusted to keep the visual effect which accords with the coverage logic of the protection area.
2) The visualization expression part of the statistical data is developed mainly based on the combination of a dynamic interactive chart Echart and a jQuery, and the chart is dynamically updated according to the parameters selected by a user. Statistical charts in two forms of pie charts and bar charts are provided in the platform, and users can check the risk level composition proportion of each administrative area and the main pollutant discharge amount of each industry according to selected parameters.
In addition, a method for visualizing the risk level evaluation of the enterprise emergency environment event can comprise the following steps:
s1, a platform database is built based on an open source GIS data server GeoServer, and data collected in real time are stored in the database, wherein the data comprise enterprise basic information, enterprise industry types, the number of times of sudden environmental risk accidents of an enterprise in the last decade, the types/existing amounts of enterprise risk substances, general survey data of sudden environmental risk information of the enterprise, regional remote sensing images, land utilization type graphs, vector data, population density, human mean GDP (global data map) and the like;
s2, inputting the risk factors of the enterprise emergency environment to construct an enterprise emergency environment risk evaluation index system;
s3, carrying out enterprise emergency environment risk level division and safety protection distance determination;
and S4, carrying out enterprise environment risk level division and safety prevention and control distance quantification grading result to generate visual expression, and rendering and displaying on a web end.
The steps of the method have been described in detail above and are not described in detail here.
Compared with the existing research, the beneficial technical effects of the invention are as follows:
1. the method solves the problem of enterprise sudden environment risk level evaluation which is high in cost, difficult in data acquisition, small in audience area and difficult to operate at present. The enterprise sudden environment risk factor evaluation method based on 13 sub-indexes of three elements, namely an environment risk source, a safety management mechanism and an environment risk receptor, is provided, an AHP analysis model of enterprise sudden environment risk evaluation is constructed aiming at 13 indexes of three dimensions, a judgment matrix is constructed by using an analytic hierarchy process to obtain each index weight through questionnaire survey and an expert scoring form in sudden environment risk level evaluation, a final enterprise environment risk index is obtained through weighted calculation and summation, and the enterprise sudden environment risk level is determined. Has the advantages of reasonable and practical use, strong feasibility and high accuracy.
2. The systematic, scientific and easy-to-operate comprehensive consideration evaluation of the enterprise emergency environment risk level evaluation index system is realized.
3. The invention provides a risk grading evaluation method for an enterprise emergency environment event and an emergency environment risk visualization platform based on WebGL developed by the method, so that the advantages of technologies such as Internet +, Internet of things and the like in emergency monitoring and management of the enterprise emergency environment risk are exerted, the data acquired based on the technology such as Internet +' and the like are combined to effectively prevent and control the emergency environment pollution risk from the source, the ordered management and scientific decision of the enterprise environment risk source are realized, the visualization research of the enterprise emergency environment risk grade evaluation is developed, and effective technical support can be provided for the frequent situation of major environment pollution events. In addition, compared with other platforms of the same type, the invention has the advantages of real-time data updating and synchronization, real-time three-dimensional display, environmental risk grade division, corresponding safety protection distance division, dynamic interactive chart statistics and the like, and is detailed in table 4.
TABLE 4 platform functional comparison and analysis
Note: 1. songyongyin, Yuanyong, Pengxian, and the like, innovative progress of a sudden environmental event risk source identification and monitoring technology, an environmental risk source identification technology (I), application, technical study on environmental engineering, 2015.
2. The Wanglabin is an oilfield accident environment risk visualization system research based on a GIS, northeast Master university, 2009.
3. Liu baoling, water pollution environment risk regional comprehensive evaluation and information management system research, harabin industry university, 2015.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (6)
1. A visualization platform for enterprise emergency environment event risk level evaluation is characterized in that the visualization platform adopts a B/S architecture, uploads result data of environment risk evaluation to a data server, and calls back a data slice in a form of calling service by a request at a Web end for visualization expression, and comprises the following modules:
the system comprises a database module, a database module and a database management module, wherein the database module is used for building a platform database based on an open-source GIS data server GeoServer and storing data collected in real time into the database, and the data comprises enterprise basic information, enterprise industry categories, the number of times of sudden environmental risk accidents of an enterprise in the last decade, the types/existing amounts of enterprise risk substances, general survey data of sudden environmental risk information of the enterprise, regional remote sensing images, land utilization type graphs, vector data, population density and human-average GDP;
the input variable module is used for inputting the risk factors of the enterprise emergency environment to construct an enterprise emergency environment risk evaluation index system;
the system comprises a model calculation module and a safety protection distance determination module, wherein the model calculation module is divided into two major sub-modules, namely an enterprise emergency environment risk grading module and a safety protection distance determination module, wherein the enterprise emergency environment risk grading module is used for completing AHP modeling of regional enterprise environment risk evaluation according to various indexes, calculating a final enterprise environment risk index and determining an enterprise emergency environment risk grade; the safety protection distance determining module is used for determining the safety protection distances of the sudden environmental risks of different enterprises based on an accident consequence method, a quantitative risk analysis method and a standard and normative method;
and the result output module is used for dividing the enterprise environment risk level, generating visual expression by the safety prevention and control distance quantitative grading result, rendering and displaying the visual expression at a web end, and subdividing the visual expression into a space data visual expression based on a map base map and a statistical data visual expression based on a chart.
2. The visualization platform of claim 1, wherein the specific process of enterprise emergency environment risk rating is as follows:
establishing a judgment matrix by using an analytic hierarchy process through a questionnaire survey and expert scoring form, and calculating to obtain each index weight;
a judgment matrix of the enterprise emergency environment risk evaluation structure model is constructed by AHP, a 1-9 scaling method is adopted for important degree assignment, and the consistency of the judgment matrix is checked:
CR＝CI/RI
wherein, CI is an index for judging matrix deviation, CR is a random consistency ratio, and CR is the index for judging matrix deviation<When the matrix is 0 and l, the matrix meets the requirement of consistency, otherwise, the matrix is corrected to ensure consistency; lambda [ alpha ]maxIs the maximum characteristic root of the matrix; n is the matrix order; RI is an average random consistency index;
aiming at effective questionnaire analysis, AHP modeling discussion is implemented, and 13 index weights are used;
aiming at the weight analysis results of 13 indexes, a scoring principle of each index of the enterprise sudden environment risk evaluation is given through butt joint with relevant standards and on the basis of document reading and expert consultation;
and (3) obtaining a final enterprise environmental risk index through weighting calculation and summation based on the index scores, and determining the enterprise sudden environmental risk level: low, medium, high and extremely high, and the specific operational formula is as follows:
wherein H is the final sudden environment risk index of the enterprise, w is the weight occupied by each index, and H is the scoring result of each index.
3. A visualization platform as recited in claim 1, wherein the specific calculation formula for the determination of the safety protection distance based on the accident consequence method is as follows:
wherein, Δ p is the overpressure value of the air shock wave, and the unit is 105 pascal (Pa);
q is the equivalent weight of the trinitrotoluene explosive in one explosion, and the unit is thousands (kg);
r is the distance of the explosion point from the protection target, and the unit is meter (m).
4. A visualization method for risk level evaluation of enterprise emergency environment events is characterized by comprising the following steps:
s1, a platform database is built based on an open source GIS data server GeoServer, and data collected in real time are stored in the database, wherein the data comprise enterprise basic information, enterprise industry types, the number of times of sudden environmental risk accidents of an enterprise in the last decade, the types/existing amounts of enterprise risk substances, general survey data of sudden environmental risk information of the enterprise, regional remote sensing images, land utilization type graphs, vector data, population density and population per capita GDP;
s2, inputting the risk factors of the enterprise emergency environment to construct an enterprise emergency environment risk evaluation index system;
s3, carrying out enterprise emergency environment risk level division and safety protection distance determination;
and S4, carrying out enterprise environment risk level division and safety prevention and control distance quantification grading result to generate visual expression, and rendering and displaying the visual expression at a web end.
5. The method of claim 4, wherein the specific process of enterprise emergency environment risk classification is as follows:
establishing a judgment matrix by using an analytic hierarchy process through a questionnaire survey and expert scoring form, and calculating to obtain each index weight;
a judgment matrix of the enterprise emergency environment risk evaluation structure model is constructed by AHP, a 1-9 scaling method is adopted for important degree assignment, and the consistency of the judgment matrix is checked:
CR＝CI/RI
wherein, CI is an index for judging matrix deviation, CR is a random consistency ratio, and CR is the index for judging matrix deviation<When the matrix is 0 and l, the matrix meets the requirement of consistency, otherwise, the matrix is corrected to ensure consistency; lambda [ alpha ]maxIs the maximum characteristic root of the matrix; n is the matrix order; RI is an average random consistency index;
aiming at effective questionnaire analysis, AHP modeling discussion is implemented, and 13 index weights are used;
aiming at the weight analysis results of 13 indexes, a scoring principle of each index of the enterprise sudden environment risk evaluation is given through butt joint with relevant standards and on the basis of document reading and expert consultation;
and (3) obtaining a final enterprise environmental risk index through weighting calculation and summation based on the index scores, and determining the enterprise sudden environmental risk level: low, medium, high and extremely high, and the specific operational formula is as follows:
wherein H is the final sudden environment risk index of the enterprise, w is the weight occupied by each index, and H is the scoring result of each index.
6. The method of claim 4, wherein the specific calculation formula for the safety distance determination based on the accident consequence method is as follows:
wherein, Δ p is the overpressure value of the air shock wave, and the unit is 105 pascal (Pa);
q is the equivalent weight of the trinitrotoluene explosive in one explosion, and the unit is thousands (kg);
r is the distance of the explosion point from the protection target, and the unit is meter (m).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011543600.4A CN112613740A (en) | 2020-12-23 | 2020-12-23 | Visualization platform and method for risk level evaluation of enterprise emergency environment event |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011543600.4A CN112613740A (en) | 2020-12-23 | 2020-12-23 | Visualization platform and method for risk level evaluation of enterprise emergency environment event |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112613740A true CN112613740A (en) | 2021-04-06 |
Family
ID=75244724
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011543600.4A Pending CN112613740A (en) | 2020-12-23 | 2020-12-23 | Visualization platform and method for risk level evaluation of enterprise emergency environment event |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112613740A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113435713A (en) * | 2021-06-08 | 2021-09-24 | 广东省国际工程咨询有限公司 | Risk map compiling method and system based on GIS technology and two-model fusion |
| CN113505823A (en) * | 2021-07-02 | 2021-10-15 | 中国联合网络通信集团有限公司 | Supply chain security analysis method and computer-readable storage medium |
| CN114444276A (en) * | 2022-01-10 | 2022-05-06 | 湖北国际物流机场有限公司 | Traceable airport virtual mapping reality method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222172A (en) * | 2011-06-28 | 2011-10-19 | 哈尔滨工业大学 | Real-time quantitative judgment method of hazard of trans-boundary sudden water environmental pollution accident |
| JP2016038643A (en) * | 2014-08-05 | 2016-03-22 | 行政院環境保護署 | Factory environment risk sorting method |
| CN109636172A (en) * | 2018-12-06 | 2019-04-16 | 南开大学 | Regional environment risk assessment and zoning methods based on risk field |
| CN111985819A (en) * | 2020-08-23 | 2020-11-24 | 哈尔滨理工大学 | Industrial dust explosion-related risk evaluation method |
-
2020
- 2020-12-23 CN CN202011543600.4A patent/CN112613740A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222172A (en) * | 2011-06-28 | 2011-10-19 | 哈尔滨工业大学 | Real-time quantitative judgment method of hazard of trans-boundary sudden water environmental pollution accident |
| JP2016038643A (en) * | 2014-08-05 | 2016-03-22 | 行政院環境保護署 | Factory environment risk sorting method |
| CN109636172A (en) * | 2018-12-06 | 2019-04-16 | 南开大学 | Regional environment risk assessment and zoning methods based on risk field |
| CN111985819A (en) * | 2020-08-23 | 2020-11-24 | 哈尔滨理工大学 | Industrial dust explosion-related risk evaluation method |
Non-Patent Citations (5)
| Title |
|---|
| 王文秀: "《实用运筹学》", 29 February 2020, 航空工业出版社 * |
| 许向阳: "《高等学校电子与通信类专业"十一五"规划教材 数据库***与应用》", 30 April 2008 * |
| 谭海樵: "《地球信息学》", 30 November 2008 * |
| 赵飞: "《专题地图的自动构建机制及在线制图研究》", 30 November 2018, 测绘出版社 * |
| 陈兰华: "《城市高速铁路运营安全风险防控》", 31 December 2019, 同济大学出版社 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113435713A (en) * | 2021-06-08 | 2021-09-24 | 广东省国际工程咨询有限公司 | Risk map compiling method and system based on GIS technology and two-model fusion |
| CN113435713B (en) * | 2021-06-08 | 2024-02-23 | 广东省国际工程咨询有限公司 | Risk map compiling method and system based on GIS technology and two-model fusion |
| CN113505823A (en) * | 2021-07-02 | 2021-10-15 | 中国联合网络通信集团有限公司 | Supply chain security analysis method and computer-readable storage medium |
| CN113505823B (en) * | 2021-07-02 | 2023-06-23 | 中国联合网络通信集团有限公司 | Supply chain security analysis method and computer readable storage medium |
| CN114444276A (en) * | 2022-01-10 | 2022-05-06 | 湖北国际物流机场有限公司 | Traceable airport virtual mapping reality method |
| CN114444276B (en) * | 2022-01-10 | 2024-01-09 | 湖北国际物流机场有限公司 | Traceable airport virtual mapping reality method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dolce et al. | Seismic risk assessment of residential buildings in Italy | |
| CN112613740A (en) | Visualization platform and method for risk level evaluation of enterprise emergency environment event | |
| Contini et al. | The use of geographic information systems in major accident risk assessment and management | |
| CN114118677A (en) | Tailing pond risk monitoring and early warning system based on Internet of things | |
| Bendimerad | Loss estimation: a powerful tool for risk assessment and mitigation | |
| Wang et al. | A comprehensive risk analysis of coastal zones in China | |
| Liu et al. | Heat map visualisation of fire incidents based on transformed sigmoid risk model | |
| Nasstrom et al. | The National Atmospheric Release Advisory Center modelling and decision-support system for radiological and nuclear emergency preparedness and response | |
| Cai et al. | Analysis of the uncertainty of fuel model parameters in wildland fire modelling of a boreal forest in north-east China | |
| Frazão Santos et al. | Quantitative assessment of the differential coastal vulnerability associated to oil spills | |
| D'Urso et al. | Multicriteria fuzzy analysis for a GIS‐based management of earthquake scenarios | |
| Yıldırım Esen et al. | Assessment of risks on a territorial scale for archaeological sites in Izmir | |
| Warner et al. | User-oriented two-dimensional measure of effectiveness for the evaluation of transport and dispersion models | |
| Frolova et al. | Loss caused by earthquakes: rapid estimates | |
| Zhang et al. | GIS-based rapid disaster loss assessment for earthquakes | |
| Goda et al. | Earthquake insurance portfolio analysis of wood-frame houses in south-western British Columbia, Canada | |
| Gianicolo et al. | Investigating mortality heterogeneity among neighbourhoods of a highly industrialised Italian city: a meta-regression approach | |
| Meroni et al. | The role of the urban system dysfunction in the assessment of seismic risk in the Mt. Etna area (Italy) | |
| Menoni et al. | Recording disaster losses for improving risk modelling capacities | |
| Stock et al. | Evaluating UK natural hazards: the national risk assessment | |
| Guo et al. | The temporal and spatial evolution of natural disasters in China | |
| Heppenstall et al. | Modelling individual evacuation decisions during natural disasters: a case study of volcanic crisis in Merapi, Indonesia | |
| Xia et al. | A composite database of casualty-inducing earthquakes in mainland China | |
| Akyürek | Spatial and temporal analysis of vegetation fires in Europe | |
| Marques et al. | An improved model for seismic risk assessment in Portugal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210406 |
|
| WD01 | Invention patent application deemed withdrawn after publication |