CN112508249A - Method and device for constructing emergency deduction graph structure and method and device for deducting emergency - Google Patents
Method and device for constructing emergency deduction graph structure and method and device for deducting emergency Download PDFInfo
- Publication number
- CN112508249A CN112508249A CN202011359904.5A CN202011359904A CN112508249A CN 112508249 A CN112508249 A CN 112508249A CN 202011359904 A CN202011359904 A CN 202011359904A CN 112508249 A CN112508249 A CN 112508249A
- Authority
- CN
- China
- Prior art keywords
- deduction
- emergency
- scene
- constructing
- elements
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 114
- 238000010586 diagram Methods 0.000 claims abstract description 94
- 230000008569 process Effects 0.000 claims abstract description 62
- 238000010276 construction Methods 0.000 claims abstract description 19
- 238000011161 development Methods 0.000 claims description 38
- 230000001737 promoting effect Effects 0.000 claims description 25
- 239000000969 carrier Substances 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 abstract description 19
- 239000000446 fuel Substances 0.000 description 18
- 206010000369 Accident Diseases 0.000 description 8
- 230000008859 change Effects 0.000 description 7
- 230000009466 transformation Effects 0.000 description 6
- 238000002485 combustion reaction Methods 0.000 description 5
- 239000002828 fuel tank Substances 0.000 description 4
- 238000012937 correction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000010304 firing Methods 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000008685 targeting Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001364 causal effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000009897 systematic effect Effects 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Primary Health Care (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Alarm Systems (AREA)
Abstract
The invention provides a method and a device for constructing an emergency deduction graph structure and deducting an emergency. The construction method comprises the following steps: acquiring an emergency case and acquiring a plurality of key process events of the emergency case; extracting scene elements of a plurality of key process events; and acquiring the attribute relationship of the scene elements, and constructing a deduction diagram structure according to the scene elements and the attribute relationship of the scene elements. The construction apparatus includes: the device comprises a first acquisition module, an extraction module and a construction module, and is used for realizing the construction method. The deduction method comprises the following steps: acquiring a current emergency and constructing an initial scene; and selecting necessary scene elements in the initial scene, and performing scene deduction through the deduction diagram structure until the scene deduction is completed. The deduction device comprises: and the second acquisition module and the generation module are used for realizing the deduction method. The method and the device can avoid the problem that the scene elements are not comprehensive enough to be extracted, can perform decision analysis on the emergency, and provide reference for real emergency treatment.
Description
Technical Field
The invention relates to the technical field of emergency situation deduction, in particular to a method and a device for constructing an emergency deduction graph structure and deducting an emergency.
Background
How to carry out scientific and efficient emergency treatment on the emergency is a difficult point in the field of emergency management, and a situation deduction technology is an effective supply for solving the difficult point. Through a situation deduction technology, the possible situation development trend of the emergency can be deduced, and results of different emergency disposal schemes are simulated, so that emergency disposal decisions of the emergency are guided.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the first purpose of the present invention is to provide a method for constructing an emergency deduction diagram structure. The method comprises the following steps: acquiring an emergency case, and acquiring a plurality of key process events of the emergency case according to preset classification categories; extracting scenario elements of the plurality of key process events; and acquiring the attribute relationship of the scene element, and constructing a deduction diagram structure according to the scene element and the attribute relationship of the scene element.
In an exemplary embodiment of the method for constructing an emergency deduction diagram structure according to the present invention, the predetermined classification categories include, but are not limited to, a plurality of types of events, carriers, emergency management, and disaster-prone environments.
In an exemplary embodiment of the method for constructing an emergency deduction diagram structure of the present invention, the obtaining the attribute relationship of the scenario element and constructing the deduction diagram structure according to the scenario element and the attribute relationship of the scenario element includes:
determining a scene development promoting rule according to the attribute relation of the scene elements;
acquiring key data for promoting the scene development according to the scene development promoting rule, and determining rules and models for promoting the scene development according to the key data;
and constructing the deduction diagram structure according to the attribute relationship of the scene elements, the relationship between the scene elements and the key data, and the relationship between the rules and the models.
In an exemplary embodiment of the method for constructing an emergency deduction diagram structure of the present invention, the method further includes:
acquiring a deduction diagram structure corresponding to each type of emergency;
and establishing the connection relation of each deduction diagram structure according to the correlation of various emergency events to generate a total deduction diagram structure.
The second objective of the present invention is to provide a method for deducing an emergency event. The deduction diagram structure comprises the following steps: acquiring relevant information of a current emergency, and constructing an initial scene of the current emergency according to the relevant information; and selecting at least one necessary scene element in the initial scene, and performing scene deduction through the deduction diagram structure until the scene deduction is completed.
In an exemplary embodiment of the method for deducing an emergency event of the present invention, the method further comprises:
and analyzing and evaluating the process of the scenario deduction, and sending an evaluation result to the target equipment.
The third purpose of the present invention is to provide an apparatus for constructing an emergency deduction diagram structure. The method comprises the following steps: the first acquisition module is used for acquiring an emergency case and acquiring a plurality of key process events of the emergency case according to preset classification categories; the extracting module is used for extracting the scene elements of the key process events; and the construction module is used for acquiring the attribute relationship of the scene element and constructing a deduction diagram structure according to the scene element and the attribute relationship of the scene element.
In an exemplary embodiment of the apparatus for constructing an emergency deduction diagram structure according to the present invention, the predetermined classification categories include, but are not limited to, various types of events, carriers, emergency management, and disaster-prone environments.
In an exemplary embodiment of the apparatus for constructing an emergency deduction diagram structure of the present invention, the construction module further includes:
the first determining unit is used for determining a scene development promoting rule according to the attribute relation of the scene elements;
the second determining unit is used for acquiring key data for promoting the scene development according to the scene development promoting rule and determining rules and models for promoting the scene development according to the key data;
and the construction unit is used for constructing the deduction diagram structure according to the attribute relationship of the scene element, the relationship between the scene element and the key data, and the relationship between the rule and the model.
In an exemplary embodiment of the apparatus for constructing an emergency deduction diagram structure of the present invention, the apparatus further includes:
the second acquisition module is used for acquiring a deduction diagram structure corresponding to each type of emergency;
and the generating module is used for establishing the connection relation of each deduction diagram structure according to the correlation of various emergency events and generating a total deduction diagram structure.
A fourth object of the present invention is to provide an apparatus for deducing an emergency event. The method comprises the following steps: the building module is used for obtaining relevant information of the current emergency and building an initial scene of the current emergency according to the relevant information; and the deduction module is used for selecting at least one necessary scene element in the initial scene and carrying out scene deduction through the deduction diagram structure until the scene deduction is finished.
In an exemplary embodiment of the apparatus for deducing an emergency event of the present invention, the apparatus further comprises:
and the analysis module is used for analyzing and evaluating the process of the scene deduction and sending an evaluation result to the target equipment.
Compared with the prior art, the beneficial effects of the invention can include: according to the construction method, by classifying and extracting the elements, the problems of omission, incompleteness and incompleteness of a system during extracting the scene elements can be avoided; the deduction method carries out deduction by using the deduction diagram structure constructed by the construction method, can carry out decision analysis on the emergency and provides reference for real emergency treatment.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart illustrating a method for constructing an emergency deduction diagram structure according to an exemplary embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for constructing an emergency deduction diagram structure according to an exemplary embodiment of the present invention;
FIG. 3 is a diagram illustrating an emergency deduction diagram according to the present invention;
fig. 4 is a flowchart illustrating a method for constructing an emergency deduction diagram structure according to another exemplary embodiment of the present invention;
fig. 5 is a flowchart illustrating a method for deducing an emergency event in another exemplary embodiment of the present invention;
fig. 6 is a flowchart illustrating a method for deducing an emergency event in a further exemplary embodiment of the present invention;
fig. 7 is a schematic structural diagram of an emergency deduction diagram structure constructing device in an exemplary embodiment of the invention;
fig. 8 is a schematic structural diagram of an emergency deduction diagram structure constructing apparatus in a specific exemplary embodiment of the present invention;
fig. 9 is a schematic structural diagram of an emergency deduction diagram structure constructing device in another exemplary embodiment of the invention;
fig. 10 is a schematic structural diagram of an emergency deduction device in a further exemplary embodiment of the present invention;
fig. 11 is a schematic structural diagram of an emergency deduction device in a further exemplary embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The following describes the construction of an emergency deduction diagram structure and an emergency deduction method and apparatus according to an embodiment of the present invention with reference to the drawings.
Fig. 1 is a flowchart illustrating a method for constructing an emergency deduction diagram structure according to an exemplary embodiment of the present invention. As shown in fig. 1, the construction method may include:
in step S101, an emergency case is obtained, and a plurality of key process events of the emergency case are obtained according to a preset classification category.
In a specific implementation process, the emergency case used for extraction may include an emergency plan and/or an emergency that has occurred, and the acquired key process event may be an event that promotes scenario development in the occurrence process of the emergency; the preset classification category may include a plurality of preset classification categories, and one preset classification category may include a plurality of subcategories, for example, for the entire process of the emergency, the emergency is divided into a first key process event, a second key process event, and a third key process event, which are associated with each other, and the first key process event, the second key process event, and the third key process event may constitute the acquired emergency.
Generally, the existing emergency situation deduction model system only focuses on extracting situation elements and relations between the situation elements, and although the model system can sort and display the situation development and transformation processes in the emergency, the situation elements are not selected to be classified and extracted, so that the problems of omission, incomplete extraction and an irregular extraction method are often caused when the situation elements are extracted.
Therefore, in order to solve the above problem, the method for constructing the structure of the emergency deduction diagram in the present exemplary embodiment can improve the accuracy of extracting the context elements by classifying and extracting the context elements.
In step S102, scene elements of a plurality of key process events are extracted.
In a specific implementation, a context element is an entity, phenomenon, or action that participates in a context and contributes to the development of the context. Specifically, the scene element is extracted from emergency treatment of the power-related emergency, and the scene element can be used for representing the scene of the emergency treatment of the power-related emergency in the emergency, and if the scene element is extracted from the emergency of the fire accident of a fuel tank in a certain airport, the extractable scene element comprises fuel (entity), fire (phenomenon) and wind (natural phenomenon).
It is understood that when the scene element extraction is required for the emergency case, since the emergency case used for extraction may include the emergency plan and/or the occurred emergency, the same element from different names of different emergency cases will be generated.
Therefore, after the scene element extraction is completed, the same elements with different names from different cases can be identified and unified, and it can be said that words with the same expression meaning are all named as the same element name.
In this embodiment, between step 102 and step 103, the method may further include the steps of:
unifying the same scene elements with different names from different emergencies.
For example, in case of a fire accident of a fuel tank in an airport, the identification and unification may include: similar terms of fire, such as burning, firing and other scene factors, are uniformly named as fire; scene factors such as a disaster-affected storage tank and an affected storage tank are uniformly named as bearing storage tanks.
By unifying the same scene factors with different names extracted from different emergency cases, more interference scene factors can be removed, redundancy of the scene factors is reduced, and the scene factors are extracted more accurately.
Step S103, acquiring the attribute relationship of the scene elements, and constructing a deduction diagram structure according to the scene elements and the attribute relationship of the scene elements.
In a specific implementation process, the attribute relationship of the scenario elements includes: the dependency relationship of the scene elements and the attributes of the scene elements, and the relationship between different scene elements which influences other scene elements due to the change of the attributes of the scene elements; and constructing a deduction diagram structure based on the context elements, the subordination relationship between the context elements and the attributes of the context elements and the relationship between different context elements and other context elements due to the influence of the attribute change of the context elements.
In summary, in the method for constructing an emergency deduction diagram structure in the exemplary embodiment, before extracting the scene elements, the accuracy of extracting the target of the scene elements can be improved and the unnecessary extraction processes of the scene elements can be reduced by using the plurality of key process events of the emergency case obtained according to the preset classification categories, and the purpose of classifying and extracting the scene elements is also achieved by extracting the scene elements of the plurality of key process events, so that the corresponding multiple types of scene elements are obtained, and the problems of omission, incomplete and systematic deficiency in extracting the scene elements are conveniently avoided, so that the subsequent deduction diagram structure constructed according to the attribute relationship between the scene elements and the scene elements can be used for realizing the scene deduction of the current emergency.
Based on the above exemplary embodiments, it should be understood that, according to different preset classification categories, multiple key process events are obtained differently, and corresponding subsequently extracted context elements are classified differently, which is exemplified below by taking specific preset process event classifications as examples, and the following descriptions are provided:
the preset classification category may include multiple types of events, load-bearing carriers, emergency management, and disaster-prone environments, the multiple key process events of the emergency case are obtained according to the preset classification category, and when extracting the context elements of the multiple key process events, the events that can be used for extracting the context elements in the event may include: disaster development events, disaster transformation events and impact events of disasters (including primary and derivative disasters) on the carrier; the event that can be subjected to the scene element extraction under the emergency management may include emergency disposal for an occurrence event, emergency disposal for a bearer carrier, emergency disposal for a surrounding environment, material assurance, personnel assurance, and equipment assurance.
Taking a fire accident of a fuel storage tank of a certain airport as an example, the scene elements which can be extracted under the occurrence of the accident comprise scene elements such as fire, fuel and the like, the scene elements which can be extracted under the bearing carrier comprise scene elements such as a disaster bearing storage tank, disaster bearing personnel and the like, and the scene elements which can be extracted under the emergency management comprise scene elements such as a command center, a fire station, a fire truck and the like.
In summary, a plurality of key process events of the emergency case are acquired through preset classification categories (the preset classification categories may include multiple types of events, carriers, emergency management and disaster-pregnant environments), and then corresponding scenario elements are extracted from the plurality of key process events, so that the problems of omission, incompleteness and insufficient system during the extraction of the scenario elements are avoided, the accuracy and the targeting of the extracted scenario elements can be further improved, and the extraction efficiency is improved.
Based on the above exemplary embodiment, fig. 2 is a flowchart illustrating a method for constructing an emergency deduction graph structure in another specific exemplary embodiment of the present invention. As shown in fig. 2, step S103 may specifically include the following steps:
in step S201, a pushed scene development law is determined according to the attribute relationship of the scene element.
In a specific implementation process, the attribute relationship of the scenario elements includes: the dependency relationship of the scene elements and the attributes of the scene elements, and the relationship between different scene elements which influences other scene elements due to the change of the attributes of the scene elements; scenario evolution laws are causal relationships before going from one scenario to another, such as: how to change the disaster development into disaster reduction and if the load-bearing carrier is changed into a disaster-affected state from a normal state; in order to show these rules of scene development, it is necessary to determine the relationship between scene elements according to attributes, such as: the size of the fire can promote the change of the state of the disaster carrier, and the size of the fire-fighting force can promote the change of the size of the fire.
In the related art, when the graph structure is constructed according to the extracted scene elements, usually only the extraction of the relationship between the elements is focused, only the qualitative description is focused, and no quantitative description is performed, but the quantitative description of the scene elements needs to be considered when the scene deduction of the graph structure is required to have higher reference value.
Therefore, the scene deduction of the deduction graph structure can be made to have higher reference value through quantitative description.
In step S202, key data for promoting the scene development is obtained according to the rule for promoting the scene development, and a rule and a model for promoting the scene development are determined according to the key data.
In the specific implementation process, on the premise that the attribute relation and the scene development rule of the scene element are obtained, the scene development can be promoted when the attribute of the scene element reaches the value of the key data, the model and the rule are tools for calculating the key data, and after the key data are determined, the model and the rule for calculating the key data can be determined, for example, the fire size of a full-liquid-level storage tank fire can be calculated by using a full-liquid-level storage tank fire model, but the model with uncertain preparation time for fire fighting power generation is determined by the rule, so the model and the rule can be changed.
Taking a fire accident of a fuel storage tank at a certain airport as an example, the fire accident is firstly analyzed from the aspect of occurrence events, and the key events of the occurrence events comprise combustion of an aviation fuel storage tank and combustion heat radiation of the fuel storage tank. The method comprises the steps of firstly analyzing a key event of aviation fuel storage tank combustion, wherein key data representing the development of the event is the size of a central fire, namely the height of flame, and in the scenario deduction, an adopted model is a storage tank combustion flame height model. The key event includes scenario elements as follows: analyzing from occurrence events, wherein the related scene elements comprise fuel and fire, and the related scene elements comprise the fuel type, the fuel surface burning rate, the flame height of the fire and the like; the key event does not relate to the scene elements under disaster carrier and emergency management; from the pregnant disaster environment analysis, the related scene elements and element attributes are wind and wind speed of the wind. According to the thought, the rest key events are analyzed one by one until the process events are analyzed, and elements, element attributes and mutual relations in the whole emergency handling process of the emergency are determined.
In the prior art, scene elements and the relationship between the scene elements are usually respectively placed in two databases, and then the relationship between the two databases is established, so that great redundancy is caused, the management and maintenance of the databases are not convenient, and the calling is also inconvenient.
Therefore, the relationship between the scene element, the attribute of the scene element, the rule, the model, and the necessary attribute is formed as a network diagram by the diagram structure as a derived diagram structure. The method and the device have the advantages that management and maintenance are facilitated, the redundancy of the library is reduced, the calling in use is facilitated, and the rapid application of the deduction graph structure in the deduction realization of the scenes can be supported.
In step S203, a deduction diagram structure is constructed from the attribute relationship of the scene elements, the relationship between the scene elements and the key data, and the relationship between the rules and the models.
In the specific implementation process, the relationship included in the constructed graph structure is as follows: the attribute relationship of the scene elements and the relationship of the scene elements generated by the rules and the models to the attributes of the scene elements comprise the subordinate relationship of the scene elements and the attributes thereof and the relationship of different scene elements which affects other scene elements due to the change of the attributes thereof; according to the relationship, in the process of constructing the graph structure, the scene elements are taken as nodes, and the relationship is combed and integrated to form a deduction graph structure. Taking a situation deduction of a fire accident of a fuel tank in a certain airport as an example, an emergency deduction diagram structure formed by the diagram structure may be as shown in fig. 3, the scenario elements may include fuel, fire, command center, fire truck, carrying personnel, carrying tank, etc., the subordination of the scenario elements shown in fig. 3, that is, the attribute of the scenario elements, and the attribute of the fuel (shown as subordination of fuel in fig. 3) may include a surface combustion rate and a fuel type, the fire is caused when the attribute of the fuel (shown as subordination of fuel in fig. 3) reaches a necessary attribute causing the fire, and when the situation deduction is performed through the emergency deduction diagram structure, different rescue schemes may be set based on the conditions of an initial scenario, for example: in the process of the scenario deduction, when the flame height is reduced to 0, the fire extinguishing can be considered to be finished, and the deduction is completed. Different rescue methods can lead to different rescue results, the deduction processes and results of different rescue schemes are analyzed and compared, the accident can be subjected to decision analysis, and reference is provided for real storage tank fire disposal.
In summary, in the method for constructing an emergency deduction graph structure in the exemplary embodiment, a series of quantitative descriptions of the attributes of the scene elements and the key data for promoting the scene development and transformation are added to extract the relationship between the scene elements, so that the scene deduction of the deduction graph structure has a higher reference value.
Based on the above exemplary embodiments, it should be understood that, when one type of emergency occurs, there is a hidden danger of causing another type of emergency due to the environment, and fig. 4 is a flowchart illustrating a method for constructing an emergency deduction diagram structure in another exemplary embodiment. As shown in fig. 4, the following steps may be further included after step S103:
in step S104, a deduction graph structure corresponding to each type of emergency event is obtained.
In step S105, a connection relationship between the derived graph structures is established according to the correlations between the various types of emergency events, so as to generate a total derived graph structure.
Based on the above exemplary embodiments, it should be understood that, in order to control the quality of the constructed derivative structure, after the derivative structure construction is completed, there may be problems with the derivative structure, such as: missing, error and obsolescence, operations such as missing completion, error correction and obsolescence updating need to be performed on the deduction graph structure, so that the quality of the deduction graph structure is ensured.
Fig. 5 is a flowchart illustrating a method for deducing an emergency event in another exemplary embodiment of the present invention. With the adoption of the deduction diagram structure constructed by the construction method of the emergency deduction diagram structure in any one of the above exemplary embodiments, as shown in fig. 5, the deduction method may include:
in step S301, information related to the current emergency is obtained, and an initial scenario of the current emergency is constructed.
In a specific implementation process, the related information may include all acquired history information of the current emergency, and the history information may be all information from the beginning of the current emergency to the current, and through analysis of the history information, an initial scenario for deduction of the current emergency may be obtained.
In step S302, at least one necessary scene element in the initial scene is selected, and scene deduction is performed through the deduction diagram structure until the scene deduction is completed.
In summary, the method for deducing an emergency in the exemplary embodiment can analyze and evaluate a scenario deduction process, can perform decision analysis on an accident, and provides a powerful reference for real accident treatment.
Based on the above exemplary embodiments, fig. 6 is a flowchart illustrating a method for deducing an emergency event in a further exemplary embodiment of the present invention. As shown in fig. 6, after step S302, the following steps may be further included:
in step S303, the process of the scene deduction is analyzed and evaluated, and the evaluation result is sent to the target device.
In a specific implementation, the target device may include a mobile phone, a computer, and the like.
The following is an embodiment of the apparatus for constructing an emergency deduction diagram structure according to the present invention, which may be configured to execute an embodiment of the method for constructing an emergency deduction diagram structure according to the present invention. For details that are not disclosed in the embodiment of the apparatus for constructing an emergency deduction diagram structure of the present invention, please refer to the embodiment of the method for constructing an emergency deduction diagram structure of the present invention.
Fig. 7 is a schematic structural diagram of an emergency deduction diagram structure constructing apparatus in an exemplary embodiment of the invention. As shown in fig. 7, the construction apparatus of the emergency deduction diagram structure may include a first obtaining module 10, an extracting module 20 and a constructing module 30.
The first obtaining module 10 is configured to obtain an emergency case, and obtain a plurality of key process events of the emergency case according to preset classification categories.
Generally, the existing emergency situation deduction model system only focuses on extracting situation elements and relations between the situation elements, and although the model system can sort and display the situation development and transformation processes in the emergency, the situation elements are not selected to be classified and extracted, so that the problems of omission, incomplete extraction and an irregular extraction method are often caused when the situation elements are extracted.
Therefore, in order to solve the above problem, the construction apparatus of the emergency deduction diagram structure in the present exemplary embodiment can improve the accuracy of extracting the scene elements by classifying and extracting the scene elements.
An extracting module 20, configured to extract the context elements of the multiple key process events.
In the implementation process, it is understood that, when the scenario factor extraction needs to be performed on the emergency case, the emergency case used for extraction may include the emergency plan and/or the occurred emergency, and then the same element from different names of different emergency cases will be generated.
Therefore, after the scene factor extraction is completed, the same elements with different names from different cases can be identified and unified, and the words with the same meaning can be named as the same element in a unified way.
In this embodiment, the apparatus for constructing an emergency deduction diagram structure may further include:
and the unifying module is used for unifying the same scene element with different names from different emergency events.
For example, in case of a fire accident of a fuel tank in an airport, the identification and unification may include: similar terms of fire, such as burning, firing and other scene factors, are uniformly named as fire; scene factors such as a disaster-affected storage tank and an affected storage tank are uniformly named as bearing storage tanks.
By unifying the same scene factors with different names extracted from different emergency cases, more interference scene factors can be removed, redundancy of the scene factors is reduced, and the scene factors are extracted more accurately.
The constructing module 30 is configured to obtain the attribute relationship of the context element, and construct a deduction diagram structure according to the context element and the attribute relationship of the context element.
In a specific implementation process, an evolution rule of the scenario element under the emergency can be generated according to the acquired attribute relationship of the scenario element, so as to obtain a deduction diagram structure.
In summary, the apparatus for constructing an emergency deduction graph structure in the exemplary embodiment may obtain multiple types of corresponding context elements by classifying and extracting the context elements of multiple key process events, so as to avoid problems of omission, incomplete integrity and insufficient system when extracting the context elements.
Based on the above exemplary embodiments, it should be understood that, according to different preset classification categories, multiple key process events are obtained differently, and corresponding subsequently extracted context elements are classified differently, which is exemplified below by taking specific preset process event classifications as examples, and the following descriptions are provided:
the preset classification category may include a plurality of types of events, load-bearing carriers, emergency management, and disaster-prone environments, the plurality of key process events of the emergency case are obtained according to the preset classification category, and when extracting the scenario elements of the plurality of key process events, the key events under the events may include: disaster development events, disaster transformation events and impact events of disasters (including primary and derivative disasters) on the carrier; the key events under emergency management may include emergency treatment for an occurrence event, emergency treatment for a bearer, emergency treatment for a surrounding environment, material support, personnel support, and equipment support.
Taking a fire accident of a fuel storage tank of a certain airport as an example, the scene elements which can be extracted under the occurrence of the accident comprise scene elements such as fire, fuel and the like, the scene elements which can be extracted under the bearing carrier comprise scene elements such as a disaster bearing storage tank, disaster bearing personnel and the like, and the scene elements which can be extracted under the emergency management comprise scene elements such as a command center, a fire station, a fire truck and the like.
In summary, a plurality of key process events of the emergency case are acquired through preset classification categories (the preset classification categories may include multiple types of events, carriers, emergency management and disaster-pregnant environments), and then corresponding scenario elements are extracted from the plurality of key process events, so that the problems of omission, incompleteness and insufficient system during the extraction of the scenario elements are avoided, the accuracy and the targeting of the extracted scenario elements can be further improved, and the extraction efficiency is improved.
Fig. 8 is a schematic structural diagram of an apparatus for constructing an emergency deduction diagram structure in an exemplary embodiment of the invention. As shown in fig. 8, the building block further includes a first determining unit 301, a second determining unit 302, a third determining unit 303, and a building unit 304 on the basis of that shown in fig. 7.
The first determining unit 301 is configured to determine a scenario development promoting rule according to the attribute relationship of the scenario element.
A second determining unit 302, configured to obtain key data for promoting the scenario development according to the scenario development promoting rule, and determine a rule and a model for promoting the scenario development according to the key data.
A constructing unit 303, configured to construct the deduction diagram structure according to the attribute relationship of the scenario element, the relationship between the scenario element and the key data, and the relationship between the rule and the model.
It should be noted that the foregoing description of the method for constructing an emergency deduction diagram structure is also applicable to the embodiment of the apparatus for constructing an emergency deduction diagram structure of the present exemplary embodiment, and the implementation principle is similar, and is not described herein again.
In summary, the apparatus for constructing an emergency deduction graph structure in the exemplary embodiment adds a series of quantitative descriptions of the attributes of the scene elements and the key data for promoting the scene development and transformation to extract the relationship between the scene elements, so that the scene deduction of the deduction graph structure has a higher reference value.
Fig. 9 is a schematic structural diagram of an emergency deduction diagram structure constructing apparatus in another exemplary embodiment of the invention. As shown in fig. 9, the apparatus for constructing an emergency deduction diagram structure further includes a second obtaining module 40 and a generating module 50 based on that shown in fig. 7.
The second obtaining module 40 is configured to obtain a derived graph structure corresponding to each type of emergency event.
The generating module 50 is configured to establish a connection relationship between the derived graph structures according to the correlations of the various types of emergency events, and generate a total derived graph structure.
Based on the above exemplary embodiments, it should be understood that, in order to control the quality of the constructed derived graph structure, the apparatus for constructing an emergency derived graph structure may further include an updating module, and the updating module is configured to, after the construction of the derived graph structure is completed, update a problem that may exist for the derived graph structure, for example: missing, error and obsolescence, operations such as missing completion, error correction and obsolescence updating need to be performed on the deduction graph structure, so that the quality of the deduction graph structure is ensured.
The following is an embodiment of an emergency deduction device of the present invention, which can be configured to execute an embodiment of an emergency deduction method of the present invention. For details not disclosed in the embodiment of the apparatus for deducing an emergency event of the present invention, please refer to the embodiment of the method for deducing an emergency event of the present invention.
Fig. 10 is a schematic structural diagram of an emergency deduction device in yet another exemplary embodiment of the present invention. As shown in fig. 10, the apparatus for deducing burst time may include a building module 60 and a deduction module 70.
The building module 60 is configured to obtain relevant information of the current emergency, and build an initial scene of the current emergency according to the relevant information.
In a specific implementation process, the related information may include all acquired history information of the current emergency, and the history information may be all information from the beginning of the current emergency to the current, and through analysis of the history information, an initial scenario for deduction of the current emergency may be obtained.
And a deduction module 70, configured to select at least one necessary scene element in the initial scene, and perform scene deduction through a deduction diagram structure until the scene deduction is completed.
In summary, the apparatus for deducing an emergency in the exemplary embodiment can analyze and evaluate a scenario deduction process, perform decision analysis on an accident, and provide a powerful reference for real accident treatment.
Fig. 11 is a schematic structural diagram of an emergency deduction device in a further exemplary embodiment of the present invention. As shown in fig. 11, the apparatus for deducing an emergency event may further include, on the basis of fig. 10:
and the analysis module 80 is configured to analyze and evaluate a process of the scenario deduction, and send an evaluation result to the target device.
In a specific implementation, the target device may include a mobile phone, a computer, and the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (12)
1. A method for constructing an emergency deduction graph structure is characterized by comprising the following steps:
acquiring an emergency case, and acquiring a plurality of key process events of the emergency case according to preset classification categories;
extracting scenario elements of the plurality of key process events;
and acquiring the attribute relationship of the scene element, and constructing a deduction diagram structure according to the scene element and the attribute relationship of the scene element.
2. The method of claim 1, wherein the predetermined classification categories include but are not limited to occurrence, carrier, emergency management, and disaster-prone environment.
3. The method for constructing an emergency deduction map structure according to claim 1, wherein the obtaining of the attribute relationship of the scene element and the constructing of the deduction map structure according to the scene element and the attribute relationship of the scene element comprise:
determining a scene development promoting rule according to the attribute relation of the scene elements;
acquiring key data for promoting the scene development according to the scene development promoting rule, and determining rules and models for promoting the scene development according to the key data;
and constructing the deduction diagram structure according to the attribute relationship of the scene elements, the relationship between the scene elements and the key data, and the relationship between the rules and the models.
4. The method for constructing an emergency deduction diagram structure according to claim 1, further comprising:
acquiring a deduction diagram structure corresponding to each type of emergency;
and establishing the connection relation of each deduction diagram structure according to the correlation of various emergency events to generate a total deduction diagram structure.
5. A method for deducing an emergency, wherein the deduction diagram structure of any one of claims 1-4 is applied, comprising the following steps:
acquiring relevant information of a current emergency, and constructing an initial scene of the current emergency according to the relevant information;
and selecting at least one necessary scene element in the initial scene, and performing scene deduction through the deduction diagram structure until the scene deduction is completed.
6. The method of claim 5, further comprising:
and analyzing and evaluating the process of the scenario deduction, and sending an evaluation result to the target equipment.
7. An apparatus for constructing an emergency deduction graph structure, comprising:
the first acquisition module is used for acquiring an emergency case and acquiring a plurality of key process events of the emergency case according to preset classification categories;
the extracting module is used for extracting the scene elements of the key process events;
and the construction module is used for acquiring the attribute relationship of the scene element and constructing a deduction diagram structure according to the scene element and the attribute relationship of the scene element.
8. The apparatus for constructing an emergency deduction diagram according to claim 7, wherein said predetermined classification categories include but are not limited to a plurality of events, carriers, emergency management and disaster-prone environments.
9. The apparatus for constructing an emergency deduction diagram according to claim 7, wherein the construction module further comprises:
the first determining unit is used for determining a scene development promoting rule according to the attribute relation of the scene elements;
the second determining unit is used for acquiring key data for promoting the scene development according to the scene development promoting rule and determining rules and models for promoting the scene development according to the key data;
and the construction unit is used for constructing the deduction diagram structure according to the attribute relationship of the scene element, the relationship between the scene element and the key data, and the relationship between the rule and the model.
10. The apparatus for constructing an emergency deduction map structure according to claim 7, further comprising:
the second acquisition module is used for acquiring a deduction diagram structure corresponding to each type of emergency;
and the generating module is used for establishing the connection relation of each deduction diagram structure according to the correlation of various emergency events and generating a total deduction diagram structure.
11. An apparatus for deducing an emergency event, comprising:
the building module is used for obtaining relevant information of the current emergency and building an initial scene of the current emergency according to the relevant information;
and the deduction module is used for selecting at least one necessary scene element in the initial scene and carrying out scene deduction through the deduction diagram structure until the scene deduction is finished.
12. The emergency deduction device of claim 11, further comprising:
and the analysis module is used for analyzing and evaluating the process of the scene deduction and sending an evaluation result to the target equipment.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011359904.5A CN112508249B (en) | 2020-11-27 | 2020-11-27 | Construction of emergency deduction graph structure and method and device for emergency deduction |
PCT/CN2021/112850 WO2022110913A1 (en) | 2020-11-27 | 2021-08-16 | Method and apparatus for constructing emergency deduction graph structure, and method and apparatus for emergency deduction |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011359904.5A CN112508249B (en) | 2020-11-27 | 2020-11-27 | Construction of emergency deduction graph structure and method and device for emergency deduction |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112508249A true CN112508249A (en) | 2021-03-16 |
CN112508249B CN112508249B (en) | 2024-07-26 |
Family
ID=74967154
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011359904.5A Active CN112508249B (en) | 2020-11-27 | 2020-11-27 | Construction of emergency deduction graph structure and method and device for emergency deduction |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN112508249B (en) |
WO (1) | WO2022110913A1 (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113158681A (en) * | 2021-03-24 | 2021-07-23 | 鹏城实验室 | Method, device and equipment for constructing emergency ontology model and storage medium |
CN113793241A (en) * | 2021-08-20 | 2021-12-14 | 北京交通大学 | Deep learning-based railway emergency situation deduction method |
WO2022110913A1 (en) * | 2020-11-27 | 2022-06-02 | 清华大学 | Method and apparatus for constructing emergency deduction graph structure, and method and apparatus for emergency deduction |
CN116109151A (en) * | 2023-01-04 | 2023-05-12 | 广州欣纬智慧安全科技有限公司 | Emergency plan deduction system, deduction method, electronic equipment and storage medium |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116562485B (en) * | 2023-05-26 | 2023-11-21 | 江苏伟岸纵横科技股份有限公司 | Multi-line emergency drilling system structure and evaluation method based on directed graph |
CN116562172B (en) * | 2023-07-07 | 2023-09-15 | 中国人民解放军国防科技大学 | Geographical scene time deduction method, device and equipment for space-time narrative |
CN116595155B (en) * | 2023-07-17 | 2023-11-14 | 中国矿业大学(北京) | Intelligent emergency auxiliary decision-making method and system for emergency based on standard digitization |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140122414A1 (en) * | 2012-10-29 | 2014-05-01 | Xurmo Technologies Private Limited | Method and system for providing a personalization solution based on a multi-dimensional data |
CN106780116A (en) * | 2016-12-01 | 2017-05-31 | 全球能源互联网研究院 | The construction method of power emergency drilling method, device and its scenario models, device |
CN110148937A (en) * | 2019-05-27 | 2019-08-20 | 国网上海市电力公司 | Intelligent deduction method for large-area power failure events based on Bayesian network |
CN110348578A (en) * | 2019-07-04 | 2019-10-18 | 北京仿真中心 | A kind of security incident scene deduces construction method, system, equipment and medium |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108604403B (en) * | 2015-12-15 | 2020-06-16 | 飞利浦照明控股有限公司 | Event prediction system |
CN107451683A (en) * | 2017-07-13 | 2017-12-08 | 北京交通大学 | The management method and system of subway station fire disaster emergency disposal process |
CN110659399B (en) * | 2018-06-28 | 2022-02-01 | 中国标准化研究院 | Method and device for displaying emergency evolution diagram |
CN109523061B (en) * | 2018-10-22 | 2022-07-01 | 哈尔滨工业大学 | Emergency decision-making method based on scenario analysis |
CN109871984A (en) * | 2019-01-22 | 2019-06-11 | 中山大学 | A kind of intelligent fire development situation recognition methods based on multi-source information |
CN111339299B (en) * | 2020-02-27 | 2023-06-02 | 北京明略软件系统有限公司 | Construction method and device of domain knowledge base |
CN111798355B (en) * | 2020-07-01 | 2022-10-11 | 北京大学 | Urban public security event chain formalized organization method and event chain database |
CN112508249B (en) * | 2020-11-27 | 2024-07-26 | 清华大学 | Construction of emergency deduction graph structure and method and device for emergency deduction |
-
2020
- 2020-11-27 CN CN202011359904.5A patent/CN112508249B/en active Active
-
2021
- 2021-08-16 WO PCT/CN2021/112850 patent/WO2022110913A1/en active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140122414A1 (en) * | 2012-10-29 | 2014-05-01 | Xurmo Technologies Private Limited | Method and system for providing a personalization solution based on a multi-dimensional data |
CN106780116A (en) * | 2016-12-01 | 2017-05-31 | 全球能源互联网研究院 | The construction method of power emergency drilling method, device and its scenario models, device |
CN110148937A (en) * | 2019-05-27 | 2019-08-20 | 国网上海市电力公司 | Intelligent deduction method for large-area power failure events based on Bayesian network |
CN110348578A (en) * | 2019-07-04 | 2019-10-18 | 北京仿真中心 | A kind of security incident scene deduces construction method, system, equipment and medium |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2022110913A1 (en) * | 2020-11-27 | 2022-06-02 | 清华大学 | Method and apparatus for constructing emergency deduction graph structure, and method and apparatus for emergency deduction |
CN113158681A (en) * | 2021-03-24 | 2021-07-23 | 鹏城实验室 | Method, device and equipment for constructing emergency ontology model and storage medium |
CN113158681B (en) * | 2021-03-24 | 2024-06-21 | 鹏城实验室 | Method, device, equipment and storage medium for constructing emergency ontology model |
CN113793241A (en) * | 2021-08-20 | 2021-12-14 | 北京交通大学 | Deep learning-based railway emergency situation deduction method |
CN113793241B (en) * | 2021-08-20 | 2024-02-09 | 北京交通大学 | Railway emergency situation deduction method based on deep learning |
CN116109151A (en) * | 2023-01-04 | 2023-05-12 | 广州欣纬智慧安全科技有限公司 | Emergency plan deduction system, deduction method, electronic equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
WO2022110913A1 (en) | 2022-06-02 |
CN112508249B (en) | 2024-07-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112508249B (en) | Construction of emergency deduction graph structure and method and device for emergency deduction | |
Miguel et al. | A review of software quality models for the evaluation of software products | |
Hwang et al. | Hybrid simulation framework for immediate facility restoration planning after a catastrophic disaster | |
Cauzzi et al. | Earthquake early warning and operational earthquake forecasting as real-time hazard information to mitigate seismic risk at nuclear facilities | |
Kim et al. | An analytic model for situation assessment of nuclear power plant operators based on Bayesian inference | |
CN110134053B (en) | Monitoring configuration method, device and equipment for distribution transformer fault power failure quick response | |
US20240142063A1 (en) | Method for troubleshooting potential safety hazards of compressor in smart gas pipeline network and internet of things system thereof | |
CN111830861B (en) | Deduction method and system for spacecraft task planning | |
Park et al. | SAMEX: A severe accident management support expert | |
Lavrov et al. | Decision support method for ensuring ergonomic quality in polyergatic IT resource management centers | |
Ziedelis et al. | Comparative analysis of nuclear event investigation methods, tools and techniques | |
CN118195329A (en) | Multidimensional fusion processing method and system for intelligent risk identification in coal mine safety production | |
CN117649105B (en) | Substation work ticket intelligent ticket filling method based on RPA flow automation | |
CN117236275A (en) | Chip optimization method, device, equipment and storage medium | |
CN116128696A (en) | Emergency flow detection method, system, electronic equipment and storage medium | |
Nam et al. | Development of an Integrated Human Error Simulation Model in Nuclear Power Plant Decommissioning Activities | |
KR102717523B1 (en) | Method, apparatus and computer-readable medium for automated facility supervision in apartment house | |
CN117873691B (en) | Data processing method, device, equipment and readable storage medium | |
US12072677B2 (en) | System and method for preemptive shutdown of utilities, facilities or systems in smart cities | |
Zhang et al. | Human Reliability Analysis for Digitized Nuclear Power Plants: Case Study on LingAo II NPP | |
Hugo | Computational human performance modeling for alarm system design | |
Guan et al. | Prioritizing Project Interdependent Risks: A Network-based Approach | |
Hugo et al. | Development of Operational Concepts for Advanced SMRs: The Role of Cognitive Systems Engineering | |
CN118572657A (en) | Risk prediction method and system based on deduction of scheduling operation behaviors | |
KR20240113180A (en) | A Platform Providing Method of Sharing and Providing Feedback on Safety Information at Industrial Sites |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |