CN103136611A - Digitization generation method for emergency plan - Google Patents
Digitization generation method for emergency plan Download PDFInfo
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- CN103136611A CN103136611A CN2011103860665A CN201110386066A CN103136611A CN 103136611 A CN103136611 A CN 103136611A CN 2011103860665 A CN2011103860665 A CN 2011103860665A CN 201110386066 A CN201110386066 A CN 201110386066A CN 103136611 A CN103136611 A CN 103136611A
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Abstract
The invention provides a digitization generation method for an emergency plan. The method comprises the steps of extracting command organization information, task information, cooperation information and start parameter information which are referred in a plan according to emergency plan documents, leading and generating a command organization tree according to the command organization information, on the basis of the command organization tree, leading and generating a task division tree according to a relevance relation among the task information, different tasks and different command organizations, on the basis of the task division tree, leading and generating a cooperation procedure tree according to a relevance relation between the cooperation information and the tasks, and according to the start parameter information, establishing call relation between start parameters and the relevant command organization tree, the task division tree and the cooperation procedure tree. According to the digitization generation method for the emergency plan, use efficiency and use effects of the emergency plan are greatly improved, and relevance application between the plan and emergency application is achieved.
Description
Technical field
The present invention relates to digitizing emergency command technical field, relate in particular to a kind of digitizing generation method of emergency preplan.
Background technology
At present, emergency preplan is the emergent most crucial business datum of platform, all has very large use meaning in many emergency traffic processes such as emergent on duty, accident handling, simulated maneuver.
But up to the present, all emergency preplans are all document informations; And for emergency equipment or emergency system, just prediction scheme is kept in system as a kind of data, can have access to when needing, but and concrete service application do not have relatedly, can not realize the related use of the application system/equipment of meeting an urgent need and emergency preplan.
Summary of the invention
The technical issues that need to address of the present invention are to provide a kind of digitizing generation method of emergency preplan, with digitizing problem and and the emergent associated application problem of using that solves emergency preplan.
For solving the problems of the technologies described above, the invention provides a kind of digitizing generation method of emergency preplan, comprising:
According to the emergency preplan document, extract the commander's organizational information, mission bit stream, cooperative information, the start-up parameter information that relate in prediction scheme;
Import and generate commander's organization tree according to described commander's organizational information;
Incidence relation according between described mission bit stream and different task and different commanders' tissues imports on the basis of described commander's organization tree and generation task division of labor tree;
According to the incidence relation between described cooperative information and task, import and generate the collaboration process tree on the basis of described task division of labor tree;
According to described start-up parameter information, will set up call relation between start-up parameter and the commander's organization tree that is associated, task artificial tree and collaboration process tree.
Use the present invention, service efficiency and the effect of emergency preplan can have greatly been improved, solved the associated application problem between prediction scheme and emergent the application, the revision of digitizing establishment, prediction scheme, prediction scheme issue, the prediction scheme that not only can realize prediction scheme merge, and can also realize in emergency preplan the application problem in emergent on duty, early warning prediction, command scheduling, simulated maneuver, analysis and assessment; Thoroughly solve the use problem of emergency preplan and emergent application platform.
Description of drawings
Fig. 1 is the digitizing generation method flow diagram according to the described emergency preplan of embodiments of the invention.
Fig. 2 is the generation model schematic diagram of digitizing prediction scheme of the present invention.
Fig. 3 is elementary organization described according to embodiment of the present invention tree schematic diagram.
Fig. 4 is task division of labor tree schematic diagram described according to the embodiment of the present invention.
Embodiment
The invention will be further described below in conjunction with the drawings and specific embodiments.
As shown in Figure 1, generate method flow diagram for the digitizing according to the described emergency preplan of embodiments of the invention:
Step 101: according to the emergency preplan document, extract the commander's organizational information, mission bit stream, cooperative information, the start-up parameter information that relate in prediction scheme;
Step 102: import and generate commander's organization tree according to described commander's organizational information;
Step 103: the incidence relation according between described mission bit stream and different task and different commanders' tissues imports on the basis of described commander's organization tree and generation task division of labor tree;
Step 104: according to the incidence relation between described cooperative information and task, import and generate the collaboration process tree on the basis of described task division of labor tree;
Step 105: according to described start-up parameter information, will set up call relation between start-up parameter and the commander's organization tree that is associated, task artificial tree and collaboration process tree.
As shown in Figure 2, in short, the generation model of digitizing prediction scheme of the present invention is divided into commander's organization tree, task division of labor tree, collaboration process tree and these parts of start-up parameter, and the below describes respectively.
1, prediction scheme commander organization tree
By the prediction scheme organizational tool, but typing/importing emergency command organization tree; Namely not only can support typing, also can select a tissue from system organization tree, can select to carry its all subgroups and knit or only select this tissue.
Prediction scheme commander organization tree can comprise elementary organization tree, Organization Details.
The embodiment of elementary organization tree can form structural representation with reference to of figure 3.
The elementary organization tree is mainly the administrative relationships that embody between tissue; Organization Details is the details of each tissue in elementary organization tree, specifically comprises organization name, organization id, telephone number, phone number, fax, address, demonstration sequence number, and these information all can be selected from the system organization storehouse.
2, task division of labor tree
By the prediction scheme organizational tool, but typing/importing task division of labor tree; Namely not only typing can be supported, also the Task Tree of a tissue can be selected from the system organization tree.
As shown in Figure 4, be task division of labor tree schematic diagram described according to the embodiment of the present invention.
The basic task tree is listed the task division of labor tree of each organization need on the basis of commander's organization tree;
Task Details is listed the detailed description information of task, comprises task names, task description, task operating explanation, task completeness, task feedback information;
The task resource demand is listed the resource requirement of each Task Tree node, mainly comprises resource type, parameter request, quantitative requirement etc.;
Task service access information is listed the addressable extraneous information on services of each Task Tree node, such as video access information, communications access information, sensor information etc.
3, collaboration process tree
The all nodal informations in collaboration process tree the inside can only be the tasks of certain tissue, and the purpose of collaboration process tree is the incidence relation of realizing between task; Be mainly used in describing between tissue, the work collaboration process between between department or post; Comprise report flow, early warning flow process, disposal process etc.
4, start-up parameter
Start-up parameter comprises the information such as prediction scheme start-up parameter, each collaboration process start-up parameter; Can information and the flow process that can call relevant according to the initial conditions automatic Display.
The present invention has realized that not only digitizing establishment, prediction scheme revision, prediction scheme issue, the prediction scheme of prediction scheme merge; The prior the present invention of being based on can realize in emergency preplan the application problem in emergent on duty, early warning prediction, command scheduling, simulated maneuver, analysis and assessment, thoroughly solve the use problem of emergency preplan and emergent application platform, and use the digitized result of prediction scheme in each function of stages of contingency management, and bring a lot of use value.
The below is elaborated to several application models of the present invention respectively.
1, resource management applications
Step 1-1: the basic organization tree of resource management applications access digitizing prediction scheme model, obtain the organizational information for certain class prediction scheme;
Step 1-2: the Organization Details of resource management applications access digitizing prediction scheme model, obtain the details for each tissue in the organizational information of certain class prediction scheme;
Step 1-3: the basic task tree of resource management applications access digitizing prediction scheme model, obtain the mission bit stream for each tissue in the organizational information of certain class prediction scheme;
Step 1-4: the task resource demand information of resource management applications access digitizing prediction scheme model, obtain the resource requirement that each required by task is wanted;
By above process, resource management applications can get for whole resource requirement information of each prediction scheme (corresponding with accident pattern and rank), the resource requirement information of each tissue; By automatic and existing resource distribution situation analysis, obtain the integral status of resource placement.
2, program management is used:
Step 2-1: the basic organization tree of program management application access digitizing prediction scheme model, obtain the organizational information for certain class prediction scheme;
Step 2-2: the Organization Details of program management application access digitizing prediction scheme model, obtain the details for each tissue in the organizational information of certain class prediction scheme;
Step 2-3: the basic task tree of program management application access digitizing prediction scheme model, obtain the mission bit stream for each tissue in the organizational information of certain class prediction scheme;
Step 2-4: the Task Details of program management application access digitizing prediction scheme model, obtain the details for certain each task;
Step 2-5: the task resource demand information of program management application access digitizing prediction scheme model, obtain the resource requirement for certain each task;
Step 2-6: the task service access information of program management application access digitizing prediction scheme model, obtain the accessible services information for certain each task;
Step 2-7: the report flow figure of program management application access digitizing prediction scheme model, obtain report flow nodal information and relation thereof;
Step 2-8: the early warning process flow diagram of program management application access digitizing prediction scheme model, obtain early warning flow nodes information and relation thereof;
Step 2-9: the disposal journey figure of program management application access digitizing prediction scheme model, obtain disposal process nodal information and relation thereof;
By above process, program management is used and can be got for functions such as the full detail of each prediction scheme (corresponding with accident pattern and rank), the editor that can realize prediction scheme, revision, merging.
3, emergent application on duty:
Step 3-1: the basic organization tree of daily application access digitizing prediction scheme model on duty, obtain the organizational information for certain class prediction scheme;
Step 3-2: the Organization Details of daily application access digitizing prediction scheme model on duty, obtain the details for each tissue in the organizational information of certain class prediction scheme;
Step 3-3: the basic task tree of daily application access digitizing prediction scheme model on duty, obtain the mission bit stream for each tissue in the organizational information of certain class prediction scheme;
Step 3-4: the Task Details of daily application access digitizing prediction scheme model on duty, obtain the details for certain each task;
Step 3-5: the report flow figure of daily application access digitizing prediction scheme model on duty, obtain report flow nodal information and relation thereof;
By above process, daily application on duty can be obtained the information of relevant all kinds of emergency preplans; Can be according to event type/rank, Auto-matching goes out the relevant unit of reporting, can be in time and linked groups unit communicate with information and get in touch with.
4, command scheduling is used:
Step 4-1: the basic organization tree of command scheduling application access digitizing prediction scheme model, obtain the organizational information for certain class prediction scheme;
Step 4-2: the Organization Details of command scheduling application access digitizing prediction scheme model, obtain the details for each tissue in the organizational information of certain class prediction scheme;
Step 4-3: the basic task tree of command scheduling application access digitizing prediction scheme model, obtain the mission bit stream for each tissue in the organizational information of certain class prediction scheme;
Step 4-4: the Task Details of command scheduling application access digitizing prediction scheme model, obtain the details for certain each task;
Step 4-5: the task resource demand information of command scheduling application access digitizing prediction scheme model, obtain the resource requirement for certain each task;
Step 4-6: the task service access information of command scheduling application access digitizing prediction scheme model, obtain the accessible services information for certain each task;
Step 4-7: the disposal journey figure of command scheduling application access digitizing prediction scheme model, obtain disposal process nodal information and relation thereof;
By above process, command scheduling is used and can be realized automatically showing participating in unit, comprising each unit of task, realizes the execution feedback to mission bit stream, to show the disposal situation of whole accident.
5, aid decision making is used:
Step 5-1: the basic organization tree of aid decision making application access digitizing prediction scheme model, obtain the organizational information for certain class prediction scheme;
Step 5-2: the Organization Details of aid decision making application access digitizing prediction scheme model, obtain the details for each tissue in the organizational information of certain class prediction scheme;
Step 5-3: the basic task tree of aid decision making application access digitizing prediction scheme model, obtain the mission bit stream for each tissue in the organizational information of certain class prediction scheme;
Step 5-4: the Task Details of aid decision making application access digitizing prediction scheme model, obtain the details for certain each task;
Step 5-5: the task resource demand information of aid decision making application access digitizing prediction scheme model, obtain the resource requirement for certain each task;
Step 5-6: the task service access information of aid decision making application access digitizing prediction scheme model, obtain the accessible services information for certain each task;
By above process, aid decision making is used and can be realized automatically showing the information such as service that participate in unit, the task of comprising each unit and resource requirement thereof, can call; Can realize that resource allocation situation, surrounding enviroment information etc. to accident analyze, so that the Back ground Information of accident assistant analysis to be provided.
6, early warning predicted application
Step 6-1: the basic organization tree of early warning predicted application access digitizing prediction scheme model, obtain the organizational information for certain class prediction scheme;
Step 6-2: the Organization Details of early warning predicted application access digitizing prediction scheme model, obtain the details for each tissue in the organizational information of certain class prediction scheme;
Step 6-3: the basic task tree of early warning predicted application access digitizing prediction scheme model, obtain the mission bit stream for each tissue in the organizational information of certain class prediction scheme;
Step 6-4: the Task Details of early warning predicted application access digitizing prediction scheme model, obtain the details for certain each task;
Step 6-5: the task resource demand information of early warning predicted application access digitizing prediction scheme model, obtain the resource requirement for certain each task;
Step 6-6: the task service access information of early warning predicted application access digitizing prediction scheme model, obtain the accessible services information for certain each task;
Step 6-7: the early warning process flow diagram of early warning predicted application access digitizing prediction scheme model, obtain disposal process nodal information and relation thereof;
By above process, the early warning predicted application can be according to the early warning process flow diagram of prediction scheme setting, and automatic Display inter-related task information and resource information thereof etc. are for the early warning prediction provides basic data.
7, simulated maneuver is used
Step 7-1: the basic organization tree of simulated maneuver application access digitizing prediction scheme model, obtain the organizational information for certain class prediction scheme;
Step 7-2: the Organization Details of simulated maneuver application access digitizing prediction scheme model, obtain the details for each tissue in the organizational information of certain class prediction scheme;
Step 7-3: the basic task tree of simulated maneuver application access digitizing prediction scheme model, obtain the mission bit stream for each tissue in the organizational information of certain class prediction scheme;
Step 7-4: the Task Details of simulated maneuver application access digitizing prediction scheme model, obtain the details for certain each task;
Step 7-5: the task resource demand information of simulated maneuver application access digitizing prediction scheme model, obtain the resource requirement for certain each task;
Step 7-6: the task service access information of simulated maneuver application access digitizing prediction scheme model, obtain the accessible services information for certain each task;
Step 7-7: the report flow figure of simulated maneuver application access digitizing prediction scheme model, obtain report flow nodal information and relation thereof;
Step 7-8: the early warning process flow diagram of program management application access digitizing prediction scheme model, obtain early warning flow nodes information and relation thereof;
Step 7-9: the disposal journey figure of simulated maneuver application access digitizing prediction scheme model, obtain disposal process nodal information and relation thereof.
By above process, simulated maneuver is used the requirement based on rehearsal rehearsal accident, merges the rehearsal prediction scheme, in the rehearsal process, by this prediction scheme of instantiation, simulates the implementation status of whole rehearsal process; Mainly comprise information reporting, command information issue, disposal situation feedback, Study on Trend etc.
Claims (10)
1. the digitizing generation method of an emergency preplan, is characterized in that, comprising:
According to the emergency preplan document, extract the commander's organizational information, mission bit stream, cooperative information, the start-up parameter information that relate in prediction scheme;
Import and generate commander's organization tree according to described commander's organizational information;
Incidence relation according between described mission bit stream and different task and different commanders' tissues imports on the basis of described commander's organization tree and generation task division of labor tree;
According to the incidence relation between described cooperative information and task, import and generate the collaboration process tree on the basis of described task division of labor tree;
According to described start-up parameter information, will set up call relation between start-up parameter and the commander's organization tree that is associated, task artificial tree and collaboration process tree.
2. the method for claim 1, is characterized in that, described commander's organization tree comprises elementary organization tree and Organization Details.
3. the method for claim 1, is characterized in that, described task division of labor tree comprises task names, task description, task operating explanation, task completeness, the task feedback information of corresponding commander's tissue.
4. method as claimed in claim 3, is characterized in that, described task division of labor tree further comprises the resource requirement information of each task artificial tree node.
5. method as claimed in claim 4, is characterized in that, described resource requirement parameters comprises resource type, parameter request and quantitative requirement information.
6. method as claimed in claim 3, is characterized in that, described task division of labor tree further comprises the addressable extraneous information on services of each task artificial tree node.
7. method as claimed in claim 6, is characterized in that, described extraneous information on services comprises video access information, communications access information and sensor information.
8. the method for claim 1, is characterized in that, described collaboration process tree comprises the work collaboration process information that the node task is related.
9. method as claimed in claim 8, is characterized in that, described work collaboration process information comprises report flow, early warning flow process, disposal process information.
10. the method for claim 1, is characterized in that, described start-up parameter comprises prediction scheme start-up parameter and collaboration process start-up parameter.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103778199A (en) * | 2014-01-08 | 2014-05-07 | 华迪计算机集团有限公司 | Method and device for making emergency plan based on structural concept model |
| CN104616100A (en) * | 2015-01-14 | 2015-05-13 | 清华大学 | Management system for emergency plan |
| CN107832965A (en) * | 2017-11-21 | 2018-03-23 | 中国运载火箭技术研究院 | A kind of fast sound track rescue mode and system |
| CN109375976A (en) * | 2018-10-10 | 2019-02-22 | 国网河南省电力公司济源供电公司 | Personage based on affair logic is associated with visualization distribution method |
| CN110244941A (en) * | 2019-06-17 | 2019-09-17 | 三角兽（北京）科技有限公司 | Task development approach, device, electronic equipment and computer readable storage medium |
| CN113726555A (en) * | 2021-08-02 | 2021-11-30 | 华迪计算机集团有限公司 | System and method suitable for auxiliary analysis alarm of data communication network |
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| CN101216926A (en) * | 2008-01-09 | 2008-07-09 | 深圳市海力特科技有限责任公司 | An urban emergency commanding operation system and the corresponding implementation method |
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| CN101216926A (en) * | 2008-01-09 | 2008-07-09 | 深圳市海力特科技有限责任公司 | An urban emergency commanding operation system and the corresponding implementation method |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778199A (en) * | 2014-01-08 | 2014-05-07 | 华迪计算机集团有限公司 | Method and device for making emergency plan based on structural concept model |
| CN104616100A (en) * | 2015-01-14 | 2015-05-13 | 清华大学 | Management system for emergency plan |
| CN104616100B (en) * | 2015-01-14 | 2018-12-11 | 清华大学 | The management system of emergency preplan |
| CN107832965A (en) * | 2017-11-21 | 2018-03-23 | 中国运载火箭技术研究院 | A kind of fast sound track rescue mode and system |
| CN109375976A (en) * | 2018-10-10 | 2019-02-22 | 国网河南省电力公司济源供电公司 | Personage based on affair logic is associated with visualization distribution method |
| CN110244941A (en) * | 2019-06-17 | 2019-09-17 | 三角兽（北京）科技有限公司 | Task development approach, device, electronic equipment and computer readable storage medium |
| CN110244941B (en) * | 2019-06-17 | 2021-11-02 | 腾讯科技（深圳）有限公司 | Task development method and device, electronic equipment and computer readable storage medium |
| CN113726555A (en) * | 2021-08-02 | 2021-11-30 | 华迪计算机集团有限公司 | System and method suitable for auxiliary analysis alarm of data communication network |
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