CN104156815B - The intelligent method of disposal of emergency event based on time shaft - Google Patents
The intelligent method of disposal of emergency event based on time shaft Download PDFInfo
- Publication number
- CN104156815B CN104156815B CN201410383165.1A CN201410383165A CN104156815B CN 104156815 B CN104156815 B CN 104156815B CN 201410383165 A CN201410383165 A CN 201410383165A CN 104156815 B CN104156815 B CN 104156815B
- Authority
- CN
- China
- Prior art keywords
- time
- emergency event
- disposal
- evaluation
- event
- 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.)
- Active
Links
Abstract
The intelligent method of disposal of emergency event based on time shaft, including setting the emergency event based on time shaft to handle prediction scheme, the emergency event processing prediction scheme includes response time, Deal with Time and the feedback time of links, and sets the maximum time difference Δ T of links permission;The emergency event recording process includes response time, Deal with Time and the feedback time of record links;Also include intelligent Evaluation process, emergency event is handled the Each point in time in prediction scheme and corresponding with the Each point in time progress recorded in emergency event recording process compared by the intelligent Evaluation process, calculate the difference DELTA t of real time difference and maximum allowable time difference, intelligent Evaluation is carried out according to comparison result, evaluation coefficient is marked off, and grade classification is carried out to result according to evaluation coefficient.The present invention carries out prediction scheme to emergency event and disposal is compared, and intelligent Evaluation is carried out according to comparison result, beneficial to emergency event disposal efficiency is improved, and improves disposal result.
Description
Technical field
The invention belongs to computer software fields, it is related to a kind of intelligent method of disposal of emergency event.
Background technology
In traditional emergency commading system, not for the time shaft concept of independent emergency event processing.User such as thinks
Understand emergency event specific handling process, only by check system journal, into it is each processing page interrogation, check event
The modes such as the word report of disposal are obtained.These acquisition modes, on the one hand obtain the artificial combing again of the scrappy needs of information, another
Aspect complex operation, the business need to operating personnel is high.
In traditional emergency commading system, without a kind of intuitive way, the complete of emergency event actively is presented for user
Life cycle.Also without a kind of mechanism, each processing procedure to emergency event carries out intelligent Evaluation.
The content of the invention
To overcome existing emergency commading system not carry out the technological deficiency of intelligent Evaluation to emergency event processing procedure, this
A kind of intelligent method of disposal of emergency event of disclosure of the invention.
The intelligent method of disposal of emergency event based on time shaft of the present invention, including the note of the emergency event based on time shaft
Record process, in addition to set the emergency event based on time shaft to handle prediction scheme, the emergency event processing prediction scheme includes each ring
Response time, Deal with Time and the feedback time of section, and set the maximum time difference Δ T of links permission;
The emergency event recording process includes response time, Deal with Time and the feedback time of record links;
Also include intelligent Evaluation process, the intelligent Evaluation process by emergency event handle prediction scheme in Each point in time with
The Each point in time recorded in emergency event recording process carries out correspondence comparison, calculates real time difference and maximum allowable time
The difference DELTA t of difference, carries out intelligent Evaluation according to comparison result, marks off evaluation coefficient, and according to evaluation coefficient to result
Carry out grade classification.
It is preferred that, evaluation coefficient PR=PI/RI, wherein PI be consistency coefficient, PI=+ P, RI are, its
Middle μ is judgment matrix, and B is weight vectors, and n is judgment matrix μ exponent number or weight vectors B dimension,
μmaxFor judgment matrix μ Maximum characteristic root, each dimension value of the weight vectors B, which is added, is equal to 1;
P is correction factor, P=+;
C1 is emergency event grade, and C0 is the regional economy coefficient of venue location.
Further, the judgment matrix μ=;Weight vectors B=;
Carrying out grade classification to result according to evaluation coefficient PR is specially:
Wherein N/A represents that intelligent Evaluation process is not suitable for the event.
Further, event class coefficient is divided into four possible values, event according to general, larger, great, especially great
The value of equivalent coefficient is chosen according to corresponding event class, specifically corresponds to:
Typically | It is larger | It is great | It is especially great |
1 | 2 | 3 | 4 |
It is preferred that, in the emergency event recording process, each timing node during being shown in time shaft form, when
Mouse is floated in certain timing node, and the summary info of the node is shown according to different event.
The invention provides a kind of intelligent method of disposal of emergency event, prediction scheme is carried out to emergency event and disposal is compared, root
Intelligent Evaluation is carried out according to comparison result, is that emergency event disposal process provides evaluation result, beneficial to subsequently to the pre- of emergency event
Case is formulated and disposal process provides reference frame, improves emergency event disposal efficiency, improves disposal result.Meanwhile, according to emergent
The emergency event Deal with Time node of command system record, generates emergency event time shaft, actively, intuitively presents, makes user
Quickly, intuitively, easily get information needed.
Brief description of the drawings
Fig. 1 is a kind of concrete mode schematic diagram of time shaft of the present invention;
Fig. 2 shows a kind of embodiment schematic diagram of the present invention;
Fig. 3 shows a kind of embodiment schematic diagram of intelligent Evaluation process of the present invention.
Embodiment
Below in conjunction with the accompanying drawings, the embodiment to the present invention is described in further detail.
The intelligent method of disposal of emergency event of the present invention, the intelligent method of disposal of the emergency event based on time shaft, bag
Include the emergency event recording process based on time shaft, it is characterised in that also including setting the emergency event based on time shaft to handle
Prediction scheme, the emergency event processing prediction scheme includes response time, Deal with Time and the feedback time of links, and sets each
The maximum time difference Δ T that individual link allows;
The emergency event recording process includes response time, Deal with Time and the feedback time of record links;
A schematic diagram recorded using time shaft in processing prediction scheme and actual disposal process, Fig. 1 are given as shown in Figure 1
In marked in some actual disposal process the event that may occur, such as when time of fire alarming, scheduling of resource time, resource are reached
Between, the event handling end time, event result feedback time etc.,
For example, definition
M- time of fire alarming during response time difference=scheduling of resource;
Scheduling time difference=resource arrival time-scheduling of resource time;
Deal with Time difference=event handling end time-resource arrival time;
Feedback time difference=event result feedback time-event handling end time;
Δ T is according to corresponding emergency preplan, it is allowed to maximum time difference:
Then Δ T=maximum response time poor+maximum scheduling time poor+maximum disposes time difference+maximum feedback time difference;
Real time difference and maximum allowable time difference difference DELTA t be each time difference sum, Δ t=(During real response
Between difference-maximum response time it is poor)+(Actual schedule time difference-maximum scheduling time is poor)+(Poor-maximum disposal of actual Deal with Time
Time difference)+(The actual feedback time difference-maximum feedback time difference);
Each timing node in Fig. 1 in chronological order, dynamic generation.
It can realize that the time shaft in following functions, Fig. 1 is shown on screen using computer software programming, when mouse is floating
Move in certain timing node, the summary info of the node, such as time, disposal event, participant can be shown according to different event
Member etc..When utilizing mouse or touching click timing node on the touchscreen, can accordingly it be disposed into emergency commading system
The page, checks more details.
In emergency event processing procedure or after being disposed, intelligent Evaluation can be carried out to emergency event processing, should
Each point in time in anxious event handling prediction scheme is corresponding with the Each point in time progress recorded in emergency event recording process to be compared,
The difference DELTA t of real time difference and maximum allowable time difference is calculated, intelligent Evaluation is carried out according to comparison result, evaluation is marked off
Coefficient, and grade classification is carried out to result according to evaluation coefficient, such as Fig. 2 to 3 gives carries out intelligence to emergency event processing
The flow that can be evaluated.
For evaluation coefficient, it can set as follows:
Evaluation method PR=PI/RI, wherein PI be consistency coefficient, PI=+ P, wherein,It refer to
Public accident contingency capabilities assessment consistency criterion formula, the present invention introduces correction factor P on this basis, by event
Grade and regional economy index also consider, more can closing to reality to emergency event disposal process carry out intelligent Evaluation.
RI =, wherein μ is judgment matrix, and B is weight vectors,It refer to public accident contingency capabilities assessment
Judgment matrix and weight normalized form, according to the characteristics of emergency commading system, have selected emergency event capability model as judgement
Matrix.Emergency event capability model, is mainly used for the emergent capability model of event and assesses, by judgment matrix and weight vectors two
Part is constituted, fixed guantity combining with fixed quality, and intelligent Evaluation is carried out to individual event, is that work improvement improves reliable basis.
B is weight vectors, according to selected capability model, B=(B1, B2 ..., Bn)T, B1+B2+ ...+Bn=1 have chosen
N=3, emergency event ability ensures that the judgment matrix and weight vectors of standard are as follows:
Judgment matrix μ=;Weight vectors B=
To above-mentioned three ranks judgment matrix μ, the first row μ 1 represents basic guarantee ability, and the second row μ 2 represents crisis processing energy
Power, the third line μ 3 represents rehabilitation ability, and the value of each element is that the expert for inviting emergent aspect is judgment matrix and referred to
Mark weight presents one's view.
μ 1 each element represents emergency preplan ability, personnel's supportability, Status Quo respectively;
μ 2 each element represents Emergency decision ability, safeguards civil order ability, floor manager and the coordination ability respectively;
μ 3 each element represents loss appraisal ability, restoration and reconstruction ability, calamity post-compensation ability respectively;
To weight vectors B wherein, trigram element represents basic guarantee ability, crisis disposal ability, rehabilitation energy respectively
The weight of power, weight vectors B each dimension value is added the μ being equal in 1, PI expression formulasmaxFor judgment matrix μ Maximum characteristic root,
N is judgment matrix μ exponent number or weight vectors B dimension, the emergency event capability model of normative reference of the present invention, n=3.
P in PI expression formulas is correction factor, P=+;
C1 be emergency event grade, generally according to national standard, be divided into it is general, larger, great, especially great four etc.
Level, correspondence value:
Typically | It is larger | It is great | It is especially great |
1 | 2 | 3 | 4 |
Emergency event grade is divided according to the number of casualties, economic loss, such as current current standard is:
Typically:It is dead below 3 people, either severely injured below 10 people or 10,000,000 yuan of property losses directly below fire;
It is larger:Cause more than 3 people dead below 10 people, it is either severely injured below more than 10 people 50 people or 10,000,000 yuan with
The fire of upper 50,000,000 yuan property losses directly below;
It is great:Cause more than 10 people dead below 30 people, it is either severely injured below more than 50 people 100 people or 50,000,000 yuan
The fire of 100,000,000 yuan of above property loss directly below;
It is especially great:Cause more than 30 people dead, either more than 100 people severely injured or more than 100,000,000 yuan direct property loss
Fire;
C0 is the regional economy coefficient of venue location, and the economic coefficient is according to region area, population, culture
The index system that many factors COMPREHENSIVE CALCULATING such as level, economic level goes out, highest value is 10, each region(Using county as
Least unit)There will be corresponding index coefficient, the economic coefficient of such as Beichuan County is 4.8.
For example:Beichuan County occurs compared with major issue, then C1=2, C0=4.8.
Evaluation coefficient calculation more than, carries out grade classification specific according to evaluation coefficient PR to result
For:
Wherein N/A represents that intelligent Evaluation process is not suitable for the event, and PR represents disposal process in the range of 0 to 3.5
Prediction scheme setting is fully met, without any improvement is carried out, PR is in the range of 3.5 to 7, it is believed that substantially met, it is necessary to pass through
Δ t judges that the positive time deviation of which specific link is maximum, is targetedly improved.When PR is more than 7, then it is assumed that answer urgent thing
For the disposal process of part is set with respect to prediction scheme, it is necessary to improve.
The span of each grade, is the different disposal effects by various rank emergency events, and Comprehensive Correlation is assessed,
And emergent industry specialists are invited, carry out comprehensive survey assessment and draw.
Previously described each preferred embodiment for the present invention, if the preferred embodiment in each preferred embodiment
It is not substantially contradictory or premised on a certain preferred embodiment, each preferred embodiment can any stack combinations
Use, the design parameter in the embodiment and embodiment merely to clearly state inventor invention verification process, and
The scope of patent protection of the limitation present invention is not used to, scope of patent protection of the invention is still defined by its claims, all
It is the equivalent structure change made with the specification and accompanying drawing content of the present invention, similarly should be included in the protection model of the present invention
In enclosing.
Claims (3)
1. the intelligent method of disposal of the emergency event based on time shaft, including the emergency event recording process based on time shaft, it is special
Levy and be, in addition to set the emergency event based on time shaft to handle prediction scheme, the emergency event processing prediction scheme includes each ring
Response time, Deal with Time and the feedback time of section, and set the maximum time difference Δ T of links permission;
The emergency event recording process includes response time, Deal with Time and the feedback time of record links;
Also include intelligent Evaluation process, emergency event is handled the Each point in time in prediction scheme and met an urgent need by the intelligent Evaluation process
The Each point in time recorded during logout carries out correspondence comparison, calculates real time difference and maximum allowable time difference
Difference DELTA t, intelligent Evaluation is carried out according to comparison result, marks off evaluation coefficient, and result is carried out according to evaluation coefficient
Grade classification;
In the emergency event recording process, each timing node during being shown in time shaft form, when mouse floats
During certain timing node, the summary info of the node is shown according to different event;
Evaluation coefficient PR=PI/RI, wherein PI be consistency coefficient, PI=+ P, RI are, wherein μ is to judge square
Battle array, B is weight vectors, and n is judgment matrix μ exponent number or weight vectors B dimension,
μmaxFor judgment matrix μ Maximum characteristic root, each dimension value of the weight vectors B, which is added, is equal to 1;
P is correction factor, P=+;
C1 is emergency event grade, and C0 is the regional economy coefficient of venue location.
2. the intelligent method of disposal of emergency event as claimed in claim 1, it is characterised in that the judgment matrix μ=;
Weight vectors B=;
Carrying out grade classification to result according to evaluation coefficient PR is specially:
Wherein N/A represents that intelligent Evaluation process is not suitable for the event.
3. the intelligent method of disposal of emergency event as claimed in claim 1, it is characterised in that event class coefficient according to it is general,
Larger, great, especially great to be divided into four possible values, the value of event class coefficient is selected according to corresponding event class
Take, specifically correspond to:
。
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410383165.1A CN104156815B (en) | 2014-08-06 | 2014-08-06 | The intelligent method of disposal of emergency event based on time shaft |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410383165.1A CN104156815B (en) | 2014-08-06 | 2014-08-06 | The intelligent method of disposal of emergency event based on time shaft |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104156815A CN104156815A (en) | 2014-11-19 |
CN104156815B true CN104156815B (en) | 2017-09-29 |
Family
ID=51882310
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410383165.1A Active CN104156815B (en) | 2014-08-06 | 2014-08-06 | The intelligent method of disposal of emergency event based on time shaft |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104156815B (en) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105243630B (en) * | 2015-10-20 | 2019-05-21 | 中国电子科技集团公司第二十八研究所 | A kind of emergency event method of disposal based on configurable flow |
CN106295050A (en) * | 2016-08-19 | 2017-01-04 | 武汉理工大学 | The emulation of boats and ships emergency preplan and evaluation system and method |
CN106910000A (en) * | 2017-01-10 | 2017-06-30 | 合肥通用机械研究院 | A kind of emergency disposal flow dynamic creation method and system based on time shaft |
CN108563483A (en) * | 2018-04-12 | 2018-09-21 | 深圳市中电数通智慧安全科技股份有限公司 | Method for visualizing, device, server and the storage medium of fire-fighting event procedure |
CN110163470B (en) * | 2019-04-04 | 2023-05-30 | 创新先进技术有限公司 | Event evaluation method and device |
CN115640988B (en) * | 2022-11-18 | 2023-04-18 | 北京大学 | Emergency event processing method and device and computer readable storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101425157A (en) * | 2008-11-28 | 2009-05-06 | 北京交通大学 | Overall evaluation method for railway emergency scheme |
CN101441745A (en) * | 2008-11-28 | 2009-05-27 | 北京交通大学 | Method for implementing overall evaluation of railway emergent rescue capability |
CN101799999A (en) * | 2010-04-06 | 2010-08-11 | 中国石油化工股份有限公司 | Accident emergency drilling system and method |
CN102682573A (en) * | 2012-03-31 | 2012-09-19 | 上海海洋大学 | Time sequence analysis-based storm surge disaster early warning system |
CN103593739A (en) * | 2013-11-25 | 2014-02-19 | 国家电网公司 | Urban power grid emergency ability assessment method |
-
2014
- 2014-08-06 CN CN201410383165.1A patent/CN104156815B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101425157A (en) * | 2008-11-28 | 2009-05-06 | 北京交通大学 | Overall evaluation method for railway emergency scheme |
CN101441745A (en) * | 2008-11-28 | 2009-05-27 | 北京交通大学 | Method for implementing overall evaluation of railway emergent rescue capability |
CN101799999A (en) * | 2010-04-06 | 2010-08-11 | 中国石油化工股份有限公司 | Accident emergency drilling system and method |
CN102682573A (en) * | 2012-03-31 | 2012-09-19 | 上海海洋大学 | Time sequence analysis-based storm surge disaster early warning system |
CN103593739A (en) * | 2013-11-25 | 2014-02-19 | 国家电网公司 | Urban power grid emergency ability assessment method |
Non-Patent Citations (2)
Title |
---|
Twitter 开放数据分析工具 继续挖掘广告金矿;佚名;《中国传媒科技》;20130623;第1页 * |
矿山重大灾害应急救援评估研究;张武杰;《中国优秀硕士学位论文全文数据库 工程科技I辑》;20110515(第05期);第1-39页 * |
Also Published As
Publication number | Publication date |
---|---|
CN104156815A (en) | 2014-11-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104156815B (en) | The intelligent method of disposal of emergency event based on time shaft | |
Du et al. | Barriers to the adoption of energy-saving technologies in the building sector: A survey study of Jing-jin-tang, China | |
CN102799778B (en) | A kind of optimization boiler load distribution method | |
CN111985847A (en) | Earthquake disaster risk assessment and countermeasure analysis system | |
Bansal et al. | Challenges and opportunities in energy transformation during COVID-19 | |
CN107146034A (en) | A kind of post competency assessment method | |
CN106651643A (en) | Power security management and control method for whole process based on distribution and adjustment | |
Mokeyev et al. | Analysis of socio-economic system processes performance with the help of eigenstate models | |
Maqsood et al. | Estimation of Human casualties from earthquakes in Pakistan—an engineering approach | |
Chen et al. | A case study of the “7-20” extreme rainfall and flooding event in Zhengzhou, Henan Province, China from the perspective of fragmentation | |
Sun et al. | An intelligent mechanism for COVID-19 emergency resource coordination and follow-up response | |
Liu | Retracted: The Study on Smart City Construction Assessment Based on TOPSIS���"" the Beijing-Tianjin-Tangshan City Clusters"" as the Case" | |
Ma et al. | Study on evaluation of earthquake evacuation capacity in village based on multi-level Grey evaluation | |
Saunik et al. | State-society synergy at COVID-19's invisible front lines. | |
Kellens et al. | A GIS tool for flood risk analysis in Flanders (Belgium) | |
Islam et al. | Knowledge, belief, and attitude of Bangladeshi youth toward the development of nuclear power | |
Huang | Mortality forecasting using a modified CMI Mortality Projections Model for China II: Cities, towns and counties | |
Vinnem et al. | A method for developing and structuring risk activity indicators for major accidents | |
Li et al. | Evaluation Index System of Green Public Open Space Based on Internet of Things and Mental Health | |
Cheng et al. | Rethinking Urban Planning For Healthy Cities In The Wake Of COVID-19 Lessons From Wuhan | |
Jin et al. | Operation method of a load test device using an energy storage system for site acceptance test of a fire-fighting emergency generator | |
Roach | Hurricane Sandy & the Emperor’s New Clothes: Microgrids as a Risk Mitigation Strategy for Extreme Weather Events | |
Khazai et al. | Resilience indicators for mainstreaming disaster risk reduction in the city of Mumbai | |
Zhao | Research on the Relationship between Population Urbanization and Higher Education Development in China | |
Bournas | Workflow for the generation of multiple illuminance files for distinct daylit spaces in apartment blocks: Abstract and oral presentation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |