CN102902743A - Retrieval and reconstruction method for emergency plans - Google Patents
Retrieval and reconstruction method for emergency plans Download PDFInfo
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Abstract
The invention relates to the technical field of municipal comprehensive emergency management, in particular to a digital, structured and intelligent retrieval and reconstruction method for emergency plans. An emergency plan is subjected to multidimensional multilayer structured division, and retrieval is performed by utilizing multidimensional multiple attribute designation and key words; and combined with an emergency site, a preliminary emergency plan is subjected to real-time data and trend, situation and risk analyzing to be reconfigured. The retrieval and reconstruction method for emergency plans solves problems of the matching accuracy and the like of emergency plans and actual emergency events, and can be widely applied to the determination of emergency plans of emergency events.
Description
Technical field
The present invention relates to city integrated contingency management technical field, be specifically related to retrieval and the reconstructing method of a kind of digitizing, structuring, intelligent emergency prediction scheme.
Background technology
Along with socioeconomic development, the complicacy of accident also is accompanied, and one of its performance is exactly taking place frequently property and the pluralistic trend of public contingent even.The accidents such as real-life disaster, accident, public health event, social security events have not only consisted of grave danger to the mankind's normal activity, have also had a strong impact on the normal operation of entire society's economic system.For avoiding or reducing the harm that burst accident brings, in the urgent need to a cover plan for emergency handling.
Emergency preplan has mainly experienced three developing stage, and the emergency preplan of phase one all is papery, uses very inconvenient; Second stage, along with the development of computer technology, the emergency preplan of papery has been compiled into the electric emergency prediction scheme, for retrieval, exchange and the utilization of emergency preplan are provided convenience; Phase III, set up structurized emergency preplan storehouse, and in conjunction with advanced technologies such as retrievals, GIS, so that emergency preplan is no matter on the recall precision, still all be significantly increased on practical application effect.The Theoretical Framework person who goes to describe prediction scheme itself from the formalized description angle is arranged, but present this respect ripe theoretical system without comparison also.Also have by to the analysis of emergency preplan at text prediction scheme, picture and text prediction scheme and 3 different stages of development of deducing plan, characteristics and the defective of 3 kinds of prediction scheme back-up systems have been commented, emphatically to visual, digitizing and the intellectuality person of analysis and research of deducing plan back-up system.But deducing plan is the uncharted field of emergency decision making system, and the at present research in this field all still is in the starting state at home and abroad, and is ripe not enough.
In sum, at present emergency preplan has been carried out certain research, wherein many places that are worth reference are medium as the GIS technology is dissolved into the contingency management platform, and these have become a kind of trend of contingency management platform development.Meanwhile, present research yet exists a lot of weak points, although all proposed some constructive schemes for the contingency management platform construction such as most of document, but these schemes all have its certain usable range, not exclusively satisfy the actual demand of present contingency management platform construction.
At present, public contingent even takes place frequently, more and more show as diversification, digitizing emergency preplan kind and quantity are also more and more huger, so that in actual application, the coupling difficulty of digitizing emergency preplan and public contingent even is even the prediction scheme of correctly being mated can not satisfy the awkward present situations such as needs of on-the-spot burst; The practical application effect of digitizing prediction scheme is not good, can't be widely used.
Summary of the invention
Retrieval and reconstructing method that the technical matters that the present invention solves is to provide a kind of emergency preplan can carry out quick-searching, dynamic restructuring to emergency preplan.
The technical scheme that the present invention solves the problems of the technologies described above is:
Emergency preplan is carried out the multidimensional and multiple-level structuring divide, then adopt the appointment of multidimensional and multiple-level attribute and key word to retrieve; The on-the-spot real time data of preliminary emergency preplan binding events, trend analysis, Study on Trend and risk analysis are reconstructed.
The process of whole emergency preplan retrieval is divided into three steps of selection of event keyword extraction, qualification setting and key word fuzzy search, emergency preplan example substantially;
Keyword extraction, when accident occurs, the emergency personnel receives alarm call, after confirming the authenticity of accident, record the essential information of event, and from these essential informations, obtain the multidimensional property information such as emergent stage of warning level, functional category, administration authority, event type, event of event; The general localized information that extracts accident, warning level information, event type information, the descriptor of event own are as the key word of accident;
Qualification arranges and the key word fuzzy search, according to the emergency event attribute that extracts, the warning level of event, functional category, administration authority, event type, emergent stage of event are specified, for multi-level attribute item, successively select, constantly dwindle seek scope; For the attribute information that can not be sure of, can not specify;
Last key word according to extracting carries out fuzzy search in the emergency preplan storehouse, with similar prediction scheme case retrieval out; Find suitable prediction scheme if finally fail, the condition that can relax the prediction scheme attribute re-starts retrieval again, until retrieve suitable emergency preplan example;
The selection of emergency preplan example, from the result of retrieval, the emergency preplan example that selection and emergency event meet most is as initial prediction scheme.
The key word fuzzy search is to adopt the method for similarity matching to realize the prediction scheme retrieval; Described similarity matching scheme realizes that the process of prediction scheme retrieval is as follows:
At first extract the determinant attribute of emergency preplan, and these attribute quantifications, select appropriate range formula according to the type of each property value, calculate current event and the local similarity of emergency preplan on some attributes, then the local similarity of each attribute weight coefficient weighted sum corresponding with it drawn an overall similarity, at last judge similarity degree between current event and the prediction scheme with the size of overall similarity value.
The structuring of described emergency preplan example is with the multidimensional and multiple-level structure attribute information of text emergency preplan according to early warning, carries out structuring and processes, and forms structuring emergency preplan example;
The prediction scheme example mainly comprises the attributes such as warning level, functional category, administration authority, event type, emergent stage of event;
For every kind of attribute, the prediction scheme example has again multilayered structure;
The emergency preplan example generally is divided into level Four according to warning level, I level emergency preplan (especially severe), II level emergency preplan (seriously), III level emergency preplan (heavier) and IV level emergency preplan (generally);
Emergency preplan generally is divided into comprehensive emergency preplan, special emergency preplan, on-the-spot emergency preplan, individual event emergency preplan etc. according to functional category;
Emergency preplan generally is divided into national emergency preplan, provinces, autonomous regions and municipalities' level emergency preplan, city-level emergency preplan, emergency preplan at county level, enterprise-level emergency preplan according to the administration authority;
Emergency preplan generally was divided into according to the emergent stage of event: prevention stage, preparatory stage, response phase, recovery stage;
Emergency preplan generally is divided into 3 layers, 5 large classes, 45 subclasses, more than 300 group according to event type; Ground floor comprises overall prediction scheme, disaster class, Accidents Disasters class, public health class, social safety class; The second layer is that all kinds in the ground floor are segmented, such as the disaster class comprise forest fire, earthquake, meteorological disaster, geologic hazard, Oceanic disasters, biological epidemics, other; The 3rd layer is to proceed segmentation in second layer type basis, such as the water damage disaster comprise typhoon, high temperature, heavy rain, thunder and lightning, hail, cold current, dense fog, other.
Described reconstructing method is in accident emergency disposal process, and the emergency preplan engine carries out automatic customization according to the dynamic change of emergency environmental to initial emergency preplan, comprises dangerous matter sources, the adjustment of emergency resources and prediction scheme structure etc.; Process is as follows:
(1) according to the real-time field data of event, utilize trend-analyzing model to carry out trend analysis, the development trend of predicted events, coverage;
(2) real-time field data, the trend analysis result with event is input on the geographical information platform, utilizes the powerful analytic function of GIS, carries out Study on Trend; The output dangerous matter sources changes, emergency resources changes;
(3) when dangerous matter sources changes, emergency resources changes when meeting the trigger condition of response change, the initial emergency preplan of reconstruct, and dispose inventory to outgoing event; Generate new emergency preplan example;
(4) implement by the circulation of above-mentioned three steps, finish the dynamic and intelligent reconstruct of emergency preplan.
The digitizing of emergency preplan is in the described reconstructing method:
The text emergency preplan is carried out procedure according to the evolutionary process of accident decomposes, decomposite each key node, as information receive, information is passed on, prediction scheme starts, warning level is judged, the response rank is judged, hold an emergency meeting, according to the concrete contingency operation of allocation of duties table association etc.;
Various information resources are associated with the evolutionary process of emergency preplan, comprise the information such as dangerous matter sources, the objective of defense, emergency resources, accountability unit, coverage, regional place.
The present invention uses reality and experience in conjunction with the accident comprehensive emergency management, has proposed a kind of digitizing, structuring, intelligent emergency prediction scheme engine design method.Digitizing, structuring, intelligent emergency prediction scheme engine take into full account the features such as the complicacy of the huge data volume in emergency preplan storehouse and accident and diversity, divide by emergency preplan being carried out multidimensional and multiple-level, adopt the way that the multidimensional and multiple-level attribute is specified and key word fuzzy search technology combines, solved the huge emergency preplan storehouse of quantity and emergency event fast, the exact matching problem, can determine fast preliminary emergency preplan.
The on-the-spot real time data of binding events, the dangerous matter sources to relating in the emergency preplan, emergency resources, protection target etc. are carried out trend analysis, Study on Trend and risk analysis, according to analysis result preliminary emergency preplan is carried out suitable intelligent reconstruct, determine final correct emergency preplan, solved the event progress Dynamic Matching problem of emergency preplan and accident, so that emergency preplan has intelligent, dynamic, ageing; For leader's dispatch control provides decision-making foundation.Adopt the emergency preplan fuzzy retrieval method of multidimensional and multiple-level aggregated(particle) structure and the intelligent dynamic reconfiguration method of emergency preplan, retrieval rate is fast, simple to operate so that the emergency preplan engine has, emergency preplan and accident matching precision high, and emergency preplan has the characteristics such as intelligent and dynamic.
Description of drawings
The present invention is further described below in conjunction with accompanying drawing:
Fig. 1 is emergency preplan structural representation of the present invention;
Fig. 2 is emergency preplan structuring synoptic diagram of the present invention;
Fig. 3 is emergency preplan retrieval flow figure of the present invention;
Fig. 4 is emergency preplan reconstruct synoptic diagram of the present invention.
Embodiment
As shown in Figure 1, emergency preplan engine of the present invention comprises three-decker altogether, information resources layer, structuring emergency preplan Information Level and spatial geographic information layer.
Whole emergency preplan engine layers level structure has realized that information resources form various disposal prediction schemes according to impact development, and the framework that shows at the space map.
1, information resources layer
Comprise the information such as dangerous matter sources, emergency resources, protection target, accountability unit, coverage, regional place.These data are to formulate the basic data of disposal method, and the text-type emergency preplan need to be carried out related with these information datas in digitizing and structurized process.
2, structured message layer
Comprise hazard analysis, prevention early warning, post-processed, mechanism's responsibility, emergency response, emergency guarantee, comprised emergency preplan disposal and emergency preplan and deduced the sight flow process.By the deduction of emergency preplan sight flow process, constructed the whole disposal process of emergency event.
3, spatial geographic information
Comprise demographic situation data, economic situation data, positional information etc.Spatial geographic information provides data analysis and state of affairs visualization display.Peripherals GPS terminal and video terminal etc. provide data source for the dynamic demonstration of information on map.
The digitizing of emergency preplan example, structuring
The digitizing of emergency preplan
The text emergency preplan is carried out procedure according to the evolutionary process of accident decomposes, decomposite each key node, as information receive, information is passed on, prediction scheme starts, warning level is judged, the response rank is judged, hold an emergency meeting, according to the concrete contingency operation of allocation of duties table association etc.
Various information resources are associated with the evolutionary process of emergency preplan, comprise the information such as dangerous matter sources, the objective of defense, emergency resources, accountability unit, coverage, regional place.
With the emergency preplan digitizing, it is the basis of realizing the intelligent dynamic restructuring of emergency preplan.
As shown in Figure 2, be the structuring figure of emergency preplan example;
With the multidimensional and multiple-level structure attribute information of text emergency preplan according to early warning, carry out structuring and process, form structuring emergency preplan example.The prediction scheme example has the multidimensional and multiple-level structure, with each prediction scheme example in the prediction scheme storehouse and multidimensional and multiple-level structurally associated connection, is the basis of realizing the emergency preplan fuzzy retrieval method of multidimensional and multiple-level aggregated(particle) structure.
The prediction scheme example mainly comprises the attributes such as warning level, functional category, administration authority, event type, emergent stage of event.
For every kind of attribute, the prediction scheme example has again multilayered structure.
The emergency preplan example generally is divided into level Four according to warning level, I level emergency preplan (especially severe), II level emergency preplan (seriously), III level emergency preplan (heavier) and IV level emergency preplan (generally).
Emergency preplan generally is divided into comprehensive emergency preplan, special emergency preplan, on-the-spot emergency preplan, individual event emergency preplan etc. according to functional category.
Emergency preplan generally is divided into national emergency preplan, provinces, autonomous regions and municipalities' level emergency preplan, city-level emergency preplan, emergency preplan at county level, enterprise-level emergency preplan according to the administration authority.
Emergency preplan generally was divided into according to the emergent stage of event: prevention stage, preparatory stage, response phase, recovery stage.
Emergency preplan generally is divided into 3 layers, 5 large classes, 45 subclasses, more than 300 group according to event type.Ground floor comprises overall prediction scheme, disaster class, Accidents Disasters class, public health class, social safety class; The second layer is that all kinds in the ground floor are segmented, such as the disaster class comprise forest fire, earthquake, meteorological disaster, geologic hazard, Oceanic disasters, biological epidemics, other.The 3rd layer is to proceed segmentation in second layer type basis, such as the water damage disaster comprise typhoon, high temperature, heavy rain, thunder and lightning, hail, cold current, dense fog, other.
As shown in Figure 3, be the emergency preplan fuzzy retrieval method process flow diagram of multidimensional and multiple-level aggregated(particle) structure of the present invention;
Essential information according to accident is searched the emergency preplan that is applicable to current event in the prediction scheme storehouse, this process is the emergency preplan retrieval.
The process of whole emergency preplan retrieval is divided into three steps of selection of event keyword extraction, qualification setting and key word fuzzy search, emergency preplan example substantially.
Keyword extraction
When accident occurs, the emergency personnel receives alarm call, after confirming the authenticity of accident, record the essential information of event, and from these essential informations, obtain the multidimensional property information of event, such as attributes such as the warning level of event, functional category, administration authority, event type, emergent stages of event.
The general localized information that extracts accident, warning level information, event type information, the descriptor of event own are as the key word of accident.
Qualification arranges and the key word fuzzy search
According to the emergency event attribute that extracts, the emergent stage of warning level, functional category, administration authority, event type, event to event specifies, for multi-level attribute item, such as event type, successively select, constantly dwindle seek scope.For the attribute information that can not be sure of, the emergency personnel can not specify.The attribute classification of appointment is more, and level is darker, and the precision with emergency event coupling itself of the emergency preplan example that obtains at last is just higher.
Last key word according to extracting carries out fuzzy search in the emergency preplan storehouse, with similar prediction scheme case retrieval out.Find suitable prediction scheme if finally fail, the condition that can relax the prediction scheme attribute re-starts retrieval again, until retrieve suitable emergency preplan example.
The key of key word fuzzy query is to adopt the method for similarity matching to go to realize the prediction scheme retrieval.The similarity matching scheme realizes that the process of prediction scheme retrieval is as follows:
At first extract the determinant attribute of emergency preplan, and these attribute quantifications, select appropriate range formula according to the type of each property value, calculate current event and the local similarity of emergency preplan on some attributes, then the local similarity of each attribute weight coefficient weighted sum corresponding with it drawn an overall similarity, at last judge similarity degree between current event and the prediction scheme with the size of overall similarity value.The selection definite and the similarity computing formula of the selection of prediction scheme determinant attribute, each Attribute Weight value coefficient all will affect the result of prediction scheme retrieval to a great extent in the prediction scheme retrieval scheme of employing similarity coupling.
The selection of emergency preplan example
From the result of retrieval, the emergency preplan example that selection and emergency event meet most is as initial prediction scheme.
For example: the large chemical plant in certain city blasts, can specify its multidimensional property to be respectively: I level early warning emergency preplan, comprehensive emergency preplan, provincial emergency preplan, and appointment province, Accidents Disasters class-〉 hazardous chemical accident-〉 hazardous chemical fire failure, the key word that extracts are city name, chemical plant blast.By the appointment of above-mentioned condition, the fuzzy search algorithm is easy to retrieve in the prediction scheme storehouse with the emergency personnel and requires consistent prediction scheme example.When the emergency personnel adopts the condition of above-mentioned appointment, can't retrieve the prediction scheme example or the prediction scheme example that retrieves when undesirable, emergent user can reduce the multidimensional property of appointment or reduce the attribute hierarchies of appointment.For above-mentioned event, reassign and be provincial emergency preplan, and specify province, Accidents Disasters class-〉 hazardous chemical accident.By this method, emergent user finally can find correct emergency preplan example.
Adopt this prediction scheme search method, have in the huge situation of emergency preplan database data amount that retrieval rate is fast, the matching precision advantages of higher.
As shown in Figure 4, be the intelligent dynamic reconfiguration method of emergency preplan;
Intelligent prediction scheme reconstruct refers in accident emergency disposal process, the emergency preplan engine carries out automatic customization (comprise and adjusting and expansion) according to the dynamic change of emergency environmental to initial emergency preplan, comprise dangerous matter sources, the adjustment of emergency resources and prediction scheme structure etc. is in the hope of the specific accident of the more effective reply of energy.
The realization basis of intelligent dynamic restructuring is the digitizing of emergency preplan.
The Data Source of intelligent dynamic restructuring mainly is real-time field data, comprises GPS, audio frequency and video, other the data such as public resource monitoring equipment of real-time collection in worksite and utilizes communication facilities or information data that mode that portable terminal contingency management platform employing information is reported and submitted is reported and submitted up.
Under the support of real time data and geographical information technology, Real-time Obtaining regional change, dangerous matter sources change, emergency resources changes, the residing response phase of automatic decision event, and automatically change the prediction scheme structure at the scene, form and dispose inventory.
Geographical information technology can allow the emergency personnel when burst accident occurs, locate fast according to the event address, within showing the accident impact scopes such as dangerous matter sources of spot periphery, electronic chart pays close attention to object, and the emergency resources around the spot distributes, be convenient to the emergency processing decision maker and emergency resources made overall arrangements rational management.
The events affecting scope that geographical information technology can also gather out according to love scene is utilized its powerful analysis ability, automatically calculates dangerous matter sources in the zone and the situation of change of emergency resources, and then the initial emergency preplan of intelligentized reconstruct.
According to other related information of response level of information resources and emergency preplan example, by the variation of above-mentioned information resources, intelligentized change Emergency response level.
The intelligent dynamic restructuring process of whole event emergency preplan is as follows:
(1) according to the real-time field data of event, utilize trend-analyzing model to carry out trend analysis, the development trend of predicted events, coverage.
(2) real-time field data, the trend analysis result with event is input on the geographical information platform, utilizes the powerful analytic function of GIS, carries out Study on Trend.The output dangerous matter sources changes, emergency resources changes.
(3) when dangerous matter sources changes, emergency resources changes when meeting the trigger condition of response change, the initial emergency preplan of reconstruct, and dispose inventory to outgoing event.Generate new emergency preplan example.
(4) implement by the circulation of above-mentioned three steps, finished the dynamic and intelligent reconstruct of emergency preplan.
Adopt the intelligent dynamic reconfiguration method of above-mentioned emergency preplan to solve the event progress Dynamic Matching problem of emergency preplan and accident, so that emergency preplan has intelligent, dynamic, ageing.
Claims (8)
1. the retrieval of an emergency preplan and reconstructing method is characterized in that: emergency preplan is carried out the multidimensional and multiple-level structuring divide, then adopt the appointment of multidimensional and multiple-level attribute and key word to retrieve; The on-the-spot real time data of preliminary emergency preplan binding events, trend analysis, Study on Trend and risk analysis are reconstructed.
2. retrieval according to claim 1 and reconstructing method is characterized in that: the process of whole emergency preplan retrieval is divided into three steps of selection of event keyword extraction, qualification setting and key word fuzzy search, emergency preplan example substantially;
Keyword extraction, when accident occurs, the emergency personnel receives alarm call, after confirming the authenticity of accident, record the essential information of event, and from these essential informations, obtain the multidimensional property information such as emergent stage of warning level, functional category, administration authority, event type, event of event; The general localized information that extracts accident, warning level information, event type information, the descriptor of event own are as the key word of accident;
Qualification arranges and the key word fuzzy search, according to the emergency event attribute that extracts, the warning level of event, functional category, administration authority, event type, emergent stage of event are specified, for multi-level attribute item, successively select, constantly dwindle seek scope; For the attribute information that can not be sure of, can not specify;
Last key word according to extracting carries out fuzzy search in the emergency preplan storehouse, with similar prediction scheme case retrieval out; Find suitable prediction scheme if finally fail, the condition that can relax the prediction scheme attribute re-starts retrieval again, until retrieve suitable emergency preplan example;
The selection of emergency preplan example, from the result of retrieval, the emergency preplan example that selection and emergency event meet most is as initial prediction scheme.
3. retrieval according to claim 2 and reconstructing method is characterized in that: the key word fuzzy search is to adopt the method for similarity matching to realize the prediction scheme retrieval; Described similarity matching scheme realizes that the process of prediction scheme retrieval is as follows:
At first extract the determinant attribute of emergency preplan, and these attribute quantifications, select appropriate range formula according to the type of each property value, calculate current event and the local similarity of emergency preplan on some attributes, then the local similarity of each attribute weight coefficient weighted sum corresponding with it drawn an overall similarity, at last judge similarity degree between current event and the prediction scheme with the size of overall similarity value.
4. according to claim 1 to 3 each described retrieval and reconstructing methods, it is characterized in that: the structuring of described emergency preplan example is with the multidimensional and multiple-level structure attribute information of text emergency preplan according to early warning, carry out structuring and process, form structuring emergency preplan example;
The prediction scheme example mainly comprises the attributes such as warning level, functional category, administration authority, event type, emergent stage of event;
For every kind of attribute, the prediction scheme example has again multilayered structure;
The emergency preplan example generally is divided into level Four according to warning level, I level emergency preplan (especially severe), II level emergency preplan (seriously), III level emergency preplan (heavier) and IV level emergency preplan (generally);
Emergency preplan generally is divided into comprehensive emergency preplan, special emergency preplan, on-the-spot emergency preplan, individual event emergency preplan etc. according to functional category;
Emergency preplan generally is divided into national emergency preplan, provinces, autonomous regions and municipalities' level emergency preplan, city-level emergency preplan, emergency preplan at county level, enterprise-level emergency preplan according to the administration authority;
Emergency preplan generally was divided into according to the emergent stage of event: prevention stage, preparatory stage, response phase, recovery stage;
Emergency preplan generally is divided into 3 layers, 5 large classes, 45 subclasses, more than 300 group according to event type; Ground floor comprises overall prediction scheme, disaster class, Accidents Disasters class, public health class, social safety class; The second layer is that all kinds in the ground floor are segmented, such as the disaster class comprise forest fire, earthquake, meteorological disaster, geologic hazard, Oceanic disasters, biological epidemics, other; The 3rd layer is to proceed segmentation in second layer type basis, such as the water damage disaster comprise typhoon, high temperature, heavy rain, thunder and lightning, hail, cold current, dense fog, other.
5. according to claim 1 to 3 each described retrieval and reconstructing methods, it is characterized in that: described reconstructing method is in accident emergency disposal process, the emergency preplan engine carries out automatic customization according to the dynamic change of emergency environmental to initial emergency preplan, comprise dangerous matter sources, the adjustment of emergency resources and prediction scheme structure etc.; Process is as follows:
(1) according to the real-time field data of event, utilize trend-analyzing model to carry out trend analysis, the development trend of predicted events, coverage;
(2) real-time field data, the trend analysis result with event is input on the geographical information platform, utilizes the powerful analytic function of GIS, carries out Study on Trend; The output dangerous matter sources changes, emergency resources changes;
(3) when dangerous matter sources changes, emergency resources changes when meeting the trigger condition of response change, the initial emergency preplan of reconstruct, and dispose inventory to outgoing event; Generate new emergency preplan example;
(4) implement by the circulation of above-mentioned three steps, finish the dynamic and intelligent reconstruct of emergency preplan.
6. retrieval according to claim 4 and reconstructing method, it is characterized in that: described reconstructing method is in accident emergency disposal process, the emergency preplan engine carries out automatic customization according to the dynamic change of emergency environmental to initial emergency preplan, comprise dangerous matter sources, the adjustment of emergency resources and prediction scheme structure etc.; Process is as follows:
(1) according to the real-time field data of event, utilize trend-analyzing model to carry out trend analysis, the development trend of predicted events, coverage;
(2) real-time field data, the trend analysis result with event is input on the geographical information platform, utilizes the powerful analytic function of GIS, carries out Study on Trend; The output dangerous matter sources changes, emergency resources changes;
(3) when dangerous matter sources changes, emergency resources changes when meeting the trigger condition of response change, the initial emergency preplan of reconstruct, and dispose inventory to outgoing event; Generate new emergency preplan example;
(4) implement by the circulation of above-mentioned three steps, finish the dynamic and intelligent reconstruct of emergency preplan.
7. retrieval according to claim 5 and reconstructing method, it is characterized in that: the digitizing of emergency preplan is in the described reconstructing method:
The text emergency preplan is carried out procedure according to the evolutionary process of accident decomposes, decomposite each key node, as information receive, information is passed on, prediction scheme starts, warning level is judged, the response rank is judged, hold an emergency meeting, according to the concrete contingency operation of allocation of duties table association etc.;
Various information resources are associated with the evolutionary process of emergency preplan, comprise the information such as dangerous matter sources, the objective of defense, emergency resources, accountability unit, coverage, regional place.
8. retrieval according to claim 6 and reconstructing method, it is characterized in that: the digitizing of emergency preplan is in the described reconstructing method:
The text emergency preplan is carried out procedure according to the evolutionary process of accident decomposes, decomposite each key node, as information receive, information is passed on, prediction scheme starts, warning level is judged, the response rank is judged, hold an emergency meeting, according to the concrete contingency operation of allocation of duties table association etc.;
Various information resources are associated with the evolutionary process of emergency preplan, comprise the information such as dangerous matter sources, the objective of defense, emergency resources, accountability unit, coverage, regional place.
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| CN103679611A (en) * | 2013-12-17 | 2014-03-26 | 东莞中国科学院云计算产业技术创新与育成中心 | City comprehensive emergency intelligent simulation system based on case-based reasoning and operation method thereof |
| CN103679611B (en) * | 2013-12-17 | 2017-01-25 | 东莞中国科学院云计算产业技术创新与育成中心 | Operation method of city comprehensive emergency intelligent simulation system based on case-based reasoning |
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| CN104036127B (en) * | 2014-06-04 | 2018-05-11 | 中国科学院科技政策与管理科学研究所 | Area of computer aided emergency system and method based on prediction scheme |
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| CN107154007A (en) * | 2017-05-11 | 2017-09-12 | 长威信息科技发展股份有限公司 | A kind of emergency complete period processing method and system |
| CN107154008A (en) * | 2017-05-11 | 2017-09-12 | 长威信息科技发展股份有限公司 | A kind of method and system that emergency is handled based on digital source prediction scheme |
| CN107844609A (en) * | 2017-12-14 | 2018-03-27 | 武汉理工大学 | A kind of emergency information abstracting method and system based on style and vocabulary |
| CN109145293A (en) * | 2018-08-06 | 2019-01-04 | 中国地质大学（武汉） | A kind of keyword extracting method and system towards merit |
| CN109145293B (en) * | 2018-08-06 | 2021-05-28 | 中国地质大学（武汉） | Case-oriented keyword extraction method and system |
| CN109450992A (en) * | 2018-10-22 | 2019-03-08 | 成都共同进步信息技术有限公司 | A kind of emergent broadcast emergency preplan generates, calls and delivery system |
| CN111192355A (en) * | 2019-12-24 | 2020-05-22 | 武汉理工光科股份有限公司 | Three-dimensional-based digital planning method |
| CN111310330A (en) * | 2020-02-12 | 2020-06-19 | 广州奥格智能科技有限公司 | Safety emergency plan digitalized parameter design method, system, storage medium and computer equipment |
| CN111310330B (en) * | 2020-02-12 | 2024-03-29 | 奥格科技股份有限公司 | Method, system, storage medium and computer equipment for designing digital parameters of safety emergency plan |
| CN111582705A (en) * | 2020-04-30 | 2020-08-25 | 天津市职业大学 | Intelligent emergency rescue command system |
| CN114202126A (en) * | 2021-12-15 | 2022-03-18 | 国网四川省电力公司电力科学研究院 | Intelligent safety control method and system for electric power operation |
| CN114202126B (en) * | 2021-12-15 | 2023-05-02 | 国网四川省电力公司电力科学研究院 | Intelligent safety control method and system for electric power operation |
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