CN106779185A - A kind of emergency traffic command methods based on harmful influence diffusion model - Google Patents
A kind of emergency traffic command methods based on harmful influence diffusion model Download PDFInfo
- Publication number
- CN106779185A CN106779185A CN201611082590.2A CN201611082590A CN106779185A CN 106779185 A CN106779185 A CN 106779185A CN 201611082590 A CN201611082590 A CN 201611082590A CN 106779185 A CN106779185 A CN 106779185A
- Authority
- CN
- China
- Prior art keywords
- information
- harmful influence
- point
- event
- concentration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000009792 diffusion process Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 238000004422 calculation algorithm Methods 0.000 claims description 7
- 238000004088 simulation Methods 0.000 claims description 5
- 238000003860 storage Methods 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 claims description 4
- 230000001174 ascending effect Effects 0.000 claims description 3
- 238000011109 contamination Methods 0.000 claims description 3
- 238000009826 distribution Methods 0.000 claims description 2
- 238000003912 environmental pollution Methods 0.000 abstract description 3
- 238000004321 preservation Methods 0.000 abstract description 3
- 238000005094 computer simulation Methods 0.000 abstract description 2
- 238000012423 maintenance Methods 0.000 abstract description 2
- 239000007789 gas Substances 0.000 description 13
- 238000007726 management method Methods 0.000 description 5
- 238000005070 sampling Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- TVZRAEYQIKYCPH-UHFFFAOYSA-N 3-(trimethylsilyl)propane-1-sulfonic acid Chemical compound C[Si](C)(C)CCCS(O)(=O)=O TVZRAEYQIKYCPH-UHFFFAOYSA-N 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000003344 environmental pollutant Substances 0.000 description 2
- 239000002360 explosive Substances 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 238000004904 shortening Methods 0.000 description 2
- 239000002341 toxic gas Substances 0.000 description 2
- 235000007926 Craterellus fallax Nutrition 0.000 description 1
- XFXPMWWXUTWYJX-UHFFFAOYSA-N Cyanide Chemical compound N#[C-] XFXPMWWXUTWYJX-UHFFFAOYSA-N 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 240000007175 Datura inoxia Species 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 231100000517 death Toxicity 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 239000000383 hazardous chemical Substances 0.000 description 1
- 230000009916 joint effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of emergency traffic command methods based on harmful influence diffusion model, including：Step 1, collection event information；Step 2, the pollution situation to harmful influence car accident place periphery is predicted early warning, forms environmental pollution integrated forecasting and analysis model, predicts flowing situation, diffusion zone and the evacuation path of polluter；The other information of step 3, the early warning information that computer sim- ulation is obtained, coverage, developing state, and event supplies analysis decision by representing of being unified of GIS map, is most preferably directed rescue work prediction scheme；Step 4, carries out scheduling, information issue and the traffic guidance shunting of emergency resources；Step 5, maintenance preservation, analysis and statistics are carried out to event case.
Description
Technical field
The present invention relates to a kind of emergency traffic command methods based on harmful influence diffusion model.
Background technology
In recent years, hazardous chemical road transport is continuously increased with the fast development of China's chemical industry, according to statistics,
The harmful influence of China nearly 90% is needed by Freeway Transport, and the annual road transport dangerous cargo of China is at 200,000,000 tons in recent years
Left and right, wherein：Up to hundreds of thousands ton, up to 100,000,000 tons, harmful influence logistics has been gradually formed inflammable, explosive oil product class hypertoxic cyanide.Greatly
Inflammable, explosive, corrosive material of amount is transported in China, etesian equivalent to the dangerous matter sources for forming flowing
Harmful influence shipping accident number is in rising trend, causes thousands injures and deaths, and large area environmental pollution.The difficulty of transportation management
Increase severely, Freeway Transport situation of production is more and more severeer.
Harmful influence road transport task constantly increases so that this " flowing bomb " threaten the people's at any time
The security of the lives and property, after accident occurs, it is necessary to take effective rescue countermeasures to reduce harm, but China tackles burst accident
Emergency management and rescue mechanism and rescue countermeasures be but far from keeping up with the step that harmful influence road transport is developed rapidly, exist many
Deficiency, it is low that such as rescue is not in time, relief goods can not meet all kinds of harmful influence shipping accidents, multidisciplinary joint action efficiency.
The intelligent Matching of emergency traffic prediction scheme is the key link for shortening the emergency management and rescue decision-making time, obtains effective in real time
Emergency plan HSE, the very first time that can also occur in accident in commander make scientific and reasonable judgement so that rescue portion mouthful and
Cooperation between relief goods reaches most preferably.
Regarding to the issue above, current currently existing scheme includes：
1st, according to scene of the accident witness warning message, video monitoring information etc. artificially judge accident conditions, and start
Related prediction scheme tissue rescue strength carries out rescue command.
2nd, existing patent【Patent name：A kind of express way integrated event handling and Emergent scheduler system and method；Shen
Please numbers 201410811357.8】, by DSS (Decision-Support-System, abbreviation DSS), including thing
Therefore operation evaluation module, predicting travel time module, event influence prediction module and event Tendency Prediction module provide newest
The road conditions of highway, decision support is done comprising traffic events, weather conditions, construction information, control traffic message, then by one
The delivery system and command dispatching system of body carry out emergency management and rescue commander.
4th, the shortcoming of prior art
The shortcoming of prior art is as follows：
Method 1：More universal in the relatively low section of the level of informatization, by manually entering analysis and decision under line, efficiency is low,
Error rate is high, and cost of labor is high, is not suitable with current art and application development trend；
Method 2：The method is applied to the section for having certain basis for IT application, is that Emergency command decision-making has done certain branch
Support, but specifically designed for harmful influence vehicle transport accident do not do Emergency decision function, for command scheduling provide it is corresponding comprehensive
Close decision information input very few.
Additionally, prior art also there is a problem of it is as follows：
(1) the harmful influence leakage status information that contains of event package is more, including harmful influence information, meteorology, road surface, accident, supports
Each information such as row, bayonet socket, charge, video, each state has different attributes to rely on to levy again, and existing system is not to status number
According to sufficiently being gathered and being comprehensively utilized, the result precision that draws, confidence level are relatively low.
(2) budget result that some diffusion models are calculated is not bound with GIS (GIS-Geographic Information System, Geographic
Information System or Geo-Information system) map is shown, and data are complex, not intuitively,
The support for providing decision-making is less efficient.
(3) intelligent Matching of emergency traffic prediction scheme is the key link for shortening the emergency management and rescue decision-making time, is had in real time
The emergency plan HSE of effect, the very first time that can also occur in accident in commander makes scientific and reasonable judgement and causes rescue portion
Cooperation between door and relief goods reaches most preferably, the intelligence of emergency preplan of the existing method on harmful influence leakage event response
Energy matching aspect is substantially not enough, and shortage is matched or the matching result degree of accuracy is relatively low.
The content of the invention
This case technical problem to be solved is：The harmful influence leakage event on the way occurred to harmful influence haulage vehicle can be entered
Capable quick, science, efficient emergency command scheduling.
The invention provides a kind of emergency traffic command methods based on harmful influence diffusion model, comprise the following steps：
Step 1, by from road lay all kinds of awareness apparatus directly gather or from other relevant departments of traffic administration,
The mode collection event relevant informations such as collection are shared in the unit information system such as meteorology, public security, hospital；Event information includes danger
Nearby road section information, accident point periphery weather information and surrounding enviroment are quick in information, the harmful influence car accident place of change product vehicle
The information such as sense protection target, emergency resources distributed intelligence, video；
Step 2, based on improved Gauss gaseous contamination diffusion model, to the pollution shape on harmful influence car accident place periphery
Condition carries out emulation early warning, emulates the diffusion zone of polluter as border real-time Simulation with certain concentration value, and predicts pollution
The flowing situation of material and evacuation path；
The other information such as pollution sources letter of step 3, the diffusion zone that analog simulation is obtained, flowing situation, and event
Event information storage is carried out intelligence by breath, weather information, emergency resources information etc. by representing that GIS map is unified
Matching, it is final to determine most preferably to direct rescue work prediction scheme；
Step 4, according to most preferably directing rescue work prediction scheme carries out emergency command.
Step 2 of the present invention comprises the following steps：
Step 2-1, obtains the relevant information of transport harmful influence vehicle, including harmful influence kind from the information of step 1 collection
Class property, warning concentration, dangerous concentrations, lethasl concentration, type of vehicle, overall height, the temperature of device, pressure, total amount information, with reference to
Information above and source strength is confirmed by relevant road segments video monitoring, and estimate the effective depth of source of leakage；
Step 2-2, obtains harmful influence car accident place road section information nearby from the information gathered from step 1, including
Position and terrain surface specifications；
Step 2-3, obtains harmful influence car accident place meteorology number in real time in being obtained from the information gathered from step 1
According to, including temperature, wind direction, wind speed, cloud amount information, determine atmospheric stability, diffusion parameter is determined by atmospheric stability form；
Step 2-4, generation harmful influence car accident leakage immediate vicinity sample point coordinate, calculates all sampled point gases dense
Degree set；
Step 2-5, according to the leakage warning concentration of gas, dangerous concentrations, lethasl concentration these three concentration values to sampled point
Gas concentration set carries out convex closure and solves to determine range areas.
In step 2-4 of the present invention, sampled point gas concentration C is calculated using equation below：
Wherein, C be sample gas t coordinate (d, 0,0) place concentration, Q is source strength, i.e. source rate of release, and u is
Mean wind speed, δ x/ δ y/ δ z are that x, y, z direction irradiated standard is poor, and x, y, z represents the down wind beam wind vertical with down wind respectively
To, vertical direction, H is the effective depth of source of leakage, and t is the time, and d is lower wind direction distance.
Step 2-5 of the present invention includes：
Step 2-5-1, finds the minimum point of leftmost point in all sampled points, i.e. y-coordinate, if y-coordinate is identical,
The point for looking for x coordinate minimum, the coordinate of this point is (x0, y0)；
Step 2-5-2, seeks the polar angle (atan2 (y-y of all sampled points on the basis of the point determined by step 2-5-10), x-
x0), and according to polar angle to these ascending sequences of point, datum mark is up front；
Step 2-5-3, by step 2-5-2 sort point be designated as P [0] ... P [n-1], stack is built, on the basis of wherein P [0]
Point, P [n-1] represents (n-1)th sampled point, and n is the quantity of sampled point, and n is bigger, and sampling block area is smaller, as a result more accurate, but
The cost time is also more, it is necessary to suitably be selected according to accident concrete condition.P [0], P [1], P [2] are pushed on when initial, for stack
Other points afterwards, if two points of stack top do not constitute the relation turned left with him, the point of stack top are popped, until without a need
Current point is pushed on after popping；
Step 2-5-4, preserves the result of step 2-5-3, obtains convex closure.
In step 3 of the present invention, the element that represents of GIS map includes：Real-time weather information display frames, displaying real-time weather letter
Breath；Harmful influence reveals information：Offer event associated vehicle and personal information；Harmful influence information, there is provided accident is related to harmful influence
Specific materialization information；Impact analysis display frames：The radius displaying for calculating analysis is provided；
It is described that event information storage is carried out into intelligent Matching in step 3 of the present invention, most preferably directed rescue work prediction scheme bag
Include：According to event information and information of forecasting, with reference to the real time information that road section flow, emergency resources are distributed, according to data
Integrated degree is carried out using threshold value hybrid similarity matching algorithm and bayesian probability model matching algorithm in emergency preplan storehouse
The intelligent Matching of prediction scheme, is most preferably directed rescue work prediction scheme.
Innovative point of the invention is：
1. the emulation of harmful influence gas diffusion；
2. the overall emergency command method that harmful influence spreads event is carried out using various information-based means.
Beneficial effect：Compared with prior art, the present invention have the advantages that following aspects it is certain, including：By thing
The extensive collection and comprehensive utilization of all kinds of related datas of part, generate more horn of plenty for harmful influence event, it is directly perceived, accurate,
Comprehensive decision information.Realize the prediction of effective harmful influence gas leakage events coverage using Gauss model, and can be
Intuitively shown in GIS map；Simplify artificial operation, by the decision support information and the emergency preplan of intelligence enriched
Method of completing the square reduces manual decision's difficulty, reduces manual decision's time, greatly improves commanding and decision-making efficiency.
Brief description of the drawings
The present invention is done with reference to the accompanying drawings and detailed description further is illustrated, it is of the invention above-mentioned or
Otherwise advantage will become apparent.
Fig. 1 is overall procedure schematic diagram of the present invention.
Fig. 2 is the emulation schematic diagram of harmful influence gas diffusion.
Fig. 3 is intelligent Matching flow and method schematic diagram.
Fig. 4 is harmful influence diffusion model emulation GIS user interfaces.
Specific embodiment
Below in conjunction with the accompanying drawings and embodiment the present invention will be further described.As shown in Figure 1 for overall procedure of the present invention shows
It is intended to, the invention provides a kind of emergency traffic command methods based on harmful influence diffusion model, comprises the following steps：
Step 1, by from road lay all kinds of awareness apparatus directly gather or from other relevant departments of traffic administration,
The mode collection event relevant informations such as collection are shared in the unit information system such as meteorology, public security, hospital；Event information includes danger
Nearby road section information, accident point periphery weather information and surrounding enviroment are quick in information, the harmful influence car accident place of change product vehicle
The information such as sense protection target, emergency resources distributed intelligence, video；
Step 2, based on improved Gauss gaseous contamination diffusion model, to the pollution shape on harmful influence car accident place periphery
Condition carries out emulation early warning, emulates the diffusion zone of the polluter at certain moment as boundary condition simulation with certain concentration value, and predicts
The flowing situation of polluter and evacuation path；
The other information such as pollution sources letter of step 3, the diffusion zone that computer sim- ulation is obtained, flowing situation, and event
Event information storage is carried out intelligence by breath, weather information, emergency resources information etc. by representing that GIS map is unified
Matching, it is final to determine most preferably to direct rescue work prediction scheme；
Step 4, according to most preferably directing rescue work prediction scheme carries out emergency command.
Step 5, carry out emergency resources such as remove obstacles vehicle, fire-fighting vehicle, the scheduling of medical resource, by signal plate, micro-
The diversified forms such as letter, short message, App enter row information issue and traffic guidance shunting；
Step 6, maintenance preservation, analysis and statistics, section, time, number of times, place that such as case occurs are carried out to event case
The analyses such as the statistics and rescue effect of reason time.
Here is the description of key technology scheme in the step：
On step 2, the application by collect harmful influence car accident place, pollution sources information, pollutant kind information,
Distributed intelligence of Weather Forecast Information and surrounding enviroment Sensitive protection goal etc., based on atmosphere pollution Mathematical Modeling, to harmful influence
The pollution situation on car accident place periphery is predicted early warning, forms environmental pollution integrated forecasting and analysis model, Jin Ertong
Cross analysis and calculate, predict flowing situation, diffusion zone and the evacuation path of polluter, be given in the range of following a period of time
Specific predicted value.
Being related to environment event influences the prediction for focusing on harmful influence gas leakage events coverage of prediction, i.e. dangerization
The emulation of product gas diffusion.As shown in Figure 2 (pasquill gifford represent Pasquill diffusion model).
Gauss model as evaluate toxic gas leak after diffusion model, because its amount of calculation it is small, it is easy to use the features such as
And be widely used.The system according to improved Gauss model, programming realization with pollutant diffusion lower wind direction distance, the time,
The effective depth of mean wind speed, pollution burst size and source of leakage is to be input into the real-time toxic gas dispersion ability emulation of the factor.Its
Formula is as follows：
Wherein,
C be diffusion gas t (d, 0,0) place concentration, units/kg/m3；
Q is source strength, i.e. source rate of release, and unit is kg/s；
U is mean wind speed, unit m/s；
δ x/ δ y/ δ z are that x, y, z direction irradiated standard is poor, and x, y, z represents the down wind beam wind vertical with down wind respectively
To, vertical direction；
H is the effective depth of source of leakage.
T is time, unit s；
D is lower wind direction distance, unit m.
1st step, obtains the relevant information of transport harmful influence vehicle, including harmful influence species from the data of step 1 collection
Property, warning concentration, dangerous concentrations, lethasl concentration, type of vehicle, overall height, the temperature of device, pressure, total amount information, with reference to
Upper information and source strength is confirmed by relevant road segments video monitoring, and estimate the effective depth of source of leakage；
2nd step, obtains harmful influence car accident place road section information nearby, including position from the data gathered from step 1
Put and terrain surface specifications；
3rd step, obtains harmful influence car accident place meteorology number in real time in being obtained from the data gathered from step 1
According to, including temperature, wind direction, wind speed, cloud amount information, determine atmospheric stability, diffusion parameter is determined by atmospheric stability form；
4th step, generation harmful influence car accident leakage immediate vicinity sample point coordinate, calculates all sampled point gas concentrations
Set；
5th step, according to the leakage warning concentration of gas, dangerous concentrations, lethasl concentration these three concentration values to sampling point set
Conjunction carries out convex closure solution (Graham scanning methods) to determine range areas, and convex closure is one of basic geometry of computational geometry,
Algorithm of convex hull is defined as follows：The convex closure of point set Q refers to the known point having in one group of plane, seeks a point met in Q polygon
On shape side or in it comprising minimum convex polygon a little.The present invention carries out the convex closure that harmful influence reveals sampled point
Calculation procedure is：
(1) the minimum point of leftmost point in all sampled points, i.e. y-coordinate is found, if y-coordinate is identical, x coordinate is looked for
Minimum point, the coordinate of this point is (x0, y0)；
(2) polar angle (atan2 (y-y of all sampled points are sought on the basis of the point determined by (1)0), x-x0), and according to polar angle
To these ascending sequences of point, datum mark is up front；
(3) it be P [0] to set these points ... P [n-1], builds stack, and point on the basis of wherein P [0], P [n-1] expressions (n-1)th are adopted
Sampling point, n is the quantity of sampled point, and n is bigger, and sampling block area is smaller, as a result more accurate, but spends the time also more, it is necessary to root
Is suitably selected according to accident concrete condition, P [0], P [1], P [2] push on when initial, for other points after stack, if stack top
Two points do not constitute the relation turned left with him, then the point of stack top is popped, until by current point after being popped without a needs
Push on；
(4) result of step 2-5-3 is preserved, convex closure is obtained.
On step 3, the model calculation combination GIS map carries out overview display and carries out the intelligent Matching of prediction scheme.
The displaying element of GIS map includes including interface element：Real-time weather information display frames, displaying real-time weather letter
Breath；Harmful influence reveals information：The information such as offer event associated vehicle and personnel；Harmful influence information, there is provided accident is related to harmful influence
Specific materialization information；Impact analysis display frames：The radius displaying for calculating analysis is provided.
Prediction scheme intelligent Matching, it is real with reference to road section flow, emergency resources distribution etc. according to event information and information of forecasting
When information, the integrated degree according to data obtained using threshold value hybrid similarity matching algorithm and bayesian probability model matching algorithm
The intelligent Matching of prediction scheme is carried out in emergency preplan storehouse, optimal rescue method is obtained, its basic thought is according to passing treated
Similar source case as reference, the actual variance between combining target case and source case does corresponding repairing to solution
Just, so as to obtain the solution of target case and be stored in case library as new example, case library is enriched.Complete reasoning by cases
Process includes lower step：Retrieval, reuse, amendment, preservation, as shown in Figure 3：
1) retrieve：Using the relevant information of problem to be solved as condition, approximate casebook is retrieved from case library；
2) reuse：Solution is chosen in the approximate source casebook for retrieving, judges whether to meet current goal case
Requirement, if meeting, reuse these source cases (or merger solution of multiple schemes), otherwise need modification；
3) correct：With reference to the actual information modification solution of current goal case from similar cases, it is allowed to suit and works as
Preceding target case, obtains the new solution scheme of current goal case；
4) preserve：Mesh case and its solution are stored in case library as history case, case library is enriched；
Fig. 4 is harmful influence diffusion model emulation GIS user interfaces, and representing element includes：Real-time weather information display frames, exhibition
Show real-time weather information；Harmful influence reveals information：Offer event associated vehicle and personal information；Harmful influence information, there is provided accident
It is related to the specific materialization information of harmful influence；Impact analysis display frames：The radius displaying for calculating analysis is provided.
The invention provides a kind of emergency traffic command methods based on harmful influence diffusion model, the technical side is implemented
The method and approach of case are a lot, and the above is only the preferred embodiment of the present invention, it is noted that for the art
For those of ordinary skill, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvement
Protection scope of the present invention is also should be regarded as with retouching.Each part being not known in the present embodiment can use prior art to be subject to
Realize.
Claims (6)
1. a kind of emergency traffic command methods based on harmful influence diffusion model, it is characterised in that comprise the following steps：
Step 1, collection event relevant information；Event information includes that the information of harmful influence vehicle, harmful influence car accident place are attached
Shortcut segment information, accident point periphery weather information and surrounding enviroment Sensitive protection goal, emergency resources distributed intelligence, video letter
Breath；
Step 2, based on improved Gauss gaseous contamination diffusion model, the pollution situation to harmful influence car accident place periphery enters
Row emulation early warning, the diffusion zone of polluter is emulated with certain concentration value, and predict polluter as border real-time Simulation
Flowing situation and evacuate path；
Step 3, the diffusion zone that analog simulation is obtained, flowing situation, and the other information of event is carried out by GIS map
Unified represents, and event information storage is carried out into intelligent Matching, final to determine most preferably to direct rescue work prediction scheme；
Step 4, according to most preferably directing rescue work prediction scheme carries out emergency command.
2. method according to claim 1, it is characterised in that step 2 comprises the following steps：
Step 2-1, the relevant information of acquisition transport harmful influence vehicle from the information of step 1 collection, including harmful influence is identity
Matter, warning concentration, dangerous concentrations, lethasl concentration, type of vehicle, overall height, the temperature of device, pressure, total amount information, with reference to the above
Information and source strength is confirmed by relevant road segments video monitoring, and estimate the effective depth of source of leakage；
Step 2-2, obtains harmful influence car accident place road section information nearby, including position from the information gathered from step 1
And terrain surface specifications；
Step 2-3, the real-time meteorological data in harmful influence car accident place is obtained in being obtained from the information gathered from step 1,
Including temperature, wind direction, wind speed, cloud amount information, atmospheric stability is determined, diffusion parameter is determined by atmospheric stability form；
Step 2-4, generation harmful influence car accident leakage immediate vicinity sample point coordinate, calculates all sampled point gas concentration collection
Close；
Step 2-5, according to the leakage warning concentration of gas, dangerous concentrations, lethasl concentration these three concentration values to sampled point gas
Concentration set carries out convex closure and solves to determine range areas.
3. method according to claim 2, it is characterised in that in step 2-4, sampled point gas is calculated using equation below
Concentration C：
Wherein, C be sample gas t coordinate (d, 0,0) place concentration, Q is source strength, i.e. source rate of release, and u is average
Wind speed, δ x/ δ y/ δ z are respectively that x, y, z direction irradiated standard is poor, and x, y, z represents the down wind beam wind vertical with down wind respectively
To and vertical direction, H is the effective depth of source of leakage, and t is the time, and d is lower wind direction distance.
4. method according to claim 3, it is characterised in that step 2-5 includes：
Step 2-5-1, finds the minimum point of leftmost point in all sampled points, i.e. y-coordinate, if y-coordinate is identical, looks for x
The minimum point of coordinate, the coordinate of this point is (x0, y0)；
Step 2-5-2, seeks the polar angle (atan2 (y-y of all sampled points on the basis of the point determined by step 2-5-10), x-x0), and
According to polar angle to these ascending sequences of point, datum mark is up front；
Step 2-5-3, the point that step 2-5-2 sorts is designated as P [0] ... P [n-1], and build stack, point, P on the basis of wherein P [0]
[n-1] represents (n-1)th sampled point, and P [0], P [1], P [2] push on when initial, for other points after stack, if the two of stack top
Individual point does not constitute the relation turned left with him, then the point of stack top is popped, until will currently be clicked through after being popped without a needs
Stack；
Step 2-5-4, preserves the result of step 2-5-3, obtains convex closure.
5. method according to claim 4, it is characterised in that in step 3, the element that represents of GIS map includes：Real-time gas
Image information display frames, show real-time weather information；Harmful influence reveals information：Offer event associated vehicle and personal information；Dangerization
Product information, there is provided accident is related to the specific materialization information of harmful influence；Impact analysis display frames：The radius exhibition for calculating analysis is provided
Show.
6. method according to claim 5, it is characterised in that in step 3, it is described that event information storage is carried out intelligent
Match somebody with somebody, most preferably being directed rescue work prediction scheme includes：According to event information and information of forecasting, with reference to road section flow, emergency resources
The real time information of distribution, the integrated degree according to data uses threshold value hybrid similarity matching algorithm and bayesian probability model
The intelligent Matching of prediction scheme is carried out in emergency preplan storehouse with algorithm, prediction scheme is most preferably directed rescue work.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611082590.2A CN106779185A (en) | 2016-11-30 | 2016-11-30 | A kind of emergency traffic command methods based on harmful influence diffusion model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611082590.2A CN106779185A (en) | 2016-11-30 | 2016-11-30 | A kind of emergency traffic command methods based on harmful influence diffusion model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106779185A true CN106779185A (en) | 2017-05-31 |
Family
ID=58901473
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611082590.2A Pending CN106779185A (en) | 2016-11-30 | 2016-11-30 | A kind of emergency traffic command methods based on harmful influence diffusion model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106779185A (en) |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107180402A (en) * | 2017-07-06 | 2017-09-19 | 北京路图智达信息技术有限公司 | The live method for generating plan of the emergent accident of interactive mode based on genetic algorithm |
| CN107229744A (en) * | 2017-06-22 | 2017-10-03 | 安徽山鼎信息科技有限公司 | City emergency command system based on GIS |
| CN107665577A (en) * | 2017-09-14 | 2018-02-06 | 青岛海信网络科技股份有限公司 | A kind of traffic alert treating method and apparatus |
| CN108171373A (en) * | 2017-12-26 | 2018-06-15 | 杭州电子科技大学 | A kind of chemical industrial park poison gas reveals best-effort path planing method |
| CN108597215A (en) * | 2018-04-18 | 2018-09-28 | 重庆科技学院 | LNG tank car Accidents Disasters are estimated and emergency rescue system |
| CN109141423A (en) * | 2018-08-01 | 2019-01-04 | 中国建筑科学研究院有限公司 | Evacuation route navigation system based on toxic gas diffusion influence |
| CN109741208A (en) * | 2018-12-14 | 2019-05-10 | 广州供电局有限公司 | Large area blackout emergency first-aid repair scheme determines method and apparatus |
| CN109922428A (en) * | 2019-03-06 | 2019-06-21 | 山东科技大学 | A kind of quick long distance positioning in hazardous gas spillage source and emergency security system |
| CN110001499A (en) * | 2019-04-15 | 2019-07-12 | 南京市锅炉压力容器检验研究院 | A kind of harmful influence haulage vehicle leakage detecting and emergency disposal intelligent decision system and its operation process |
| CN110428193A (en) * | 2019-06-14 | 2019-11-08 | 上海中旖能源科技有限公司 | Multi-mode liquefied natural gas carrier vehicle screening technique based on track of vehicle data |
| CN110442091A (en) * | 2019-07-03 | 2019-11-12 | 浙江天澈科技有限公司 | A kind of chemical plant electronization emergency preplan and accident handling householder method |
| CN110569514A (en) * | 2018-06-06 | 2019-12-13 | 中国石油化工股份有限公司 | Method for determining leakage pollution range of hazardous chemical substances |
| CN111145633A (en) * | 2019-12-17 | 2020-05-12 | 武汉理工大学 | Urban road hazardous chemical transport poison gas leakage diffusion risk potential map construction method |
| CN111505205A (en) * | 2020-01-20 | 2020-08-07 | 中国安全生产科学研究院 | Improved search algorithm for strong back calculation of gas leakage source |
| CN111640280A (en) * | 2020-04-21 | 2020-09-08 | 北京北大千方科技有限公司 | Subway station pollutant early warning method based on multi-source information fusion |
| CN112052307A (en) * | 2020-08-19 | 2020-12-08 | 青岛海信网络科技股份有限公司 | Dangerous chemical disaster situation prompting method and device |
| CN112634107A (en) * | 2019-09-20 | 2021-04-09 | 中国石油化工股份有限公司 | Device for investigating an accident and method implemented therein |
| WO2021073474A1 (en) * | 2019-10-14 | 2021-04-22 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for analyzing diffusion trend of diffusible substance |
| CN112991116A (en) * | 2021-03-31 | 2021-06-18 | 中国核动力研究设计院 | Outdoor emergency response real scene simulation method and system for nuclear power plant |
| WO2021129715A1 (en) * | 2019-12-26 | 2021-07-01 | 清华大学 | Evacuation area calculation method and apparatus, and electronic device and storage medium |
| CN113112053A (en) * | 2021-03-18 | 2021-07-13 | 苏州真趣信息科技有限公司 | Emergency monitoring system |
| CN113313400A (en) * | 2021-06-08 | 2021-08-27 | 中国石油大学(北京) | Accident warning method, accident warning device and storage medium |
| CN113569827A (en) * | 2021-09-27 | 2021-10-29 | 山东蓝湾新材料有限公司 | Method and device for giving alarm when dangerous chemical vehicle has accident |
| CN115034718A (en) * | 2022-06-27 | 2022-09-09 | 清云智通(北京)科技有限公司 | Hazardous chemical management method, hazardous chemical management system, computing equipment and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101546336A (en) * | 2009-05-06 | 2009-09-30 | 江西省电力信息通讯有限公司 | Danger chemical article leakage diffusion model and GIS integration exhibition method |
| CN102567808A (en) * | 2010-12-31 | 2012-07-11 | 北京工业大学 | Method for forecasting and warning accident consequence of major hazard installation by combining with real-time meteorological information |
| CN104597212A (en) * | 2015-02-03 | 2015-05-06 | 无锡中电科物联网创新研发中心 | Atmospheric pollution source locating method |
| CN105301190A (en) * | 2015-10-15 | 2016-02-03 | 康俊瑄 | Chemical accident site poisonous gas monitoring system and emergency processing method thereof |
| CN105373997A (en) * | 2014-08-29 | 2016-03-02 | 中国科学院上海高等研究院 | Real-time weather data-based evacuation method during occurrence of dangerous chemical leakage accident |
| CN105512765A (en) * | 2015-12-09 | 2016-04-20 | 国网山东省电力公司应急管理中心 | Hazardous chemical substance enterprise accident electric power emergency disposition method and system based on power grid GIS |
| CN105631586A (en) * | 2015-12-24 | 2016-06-01 | 河北远东通信系统工程有限公司 | Risk analyzing and processing method based on GIS |
| CN105844339A (en) * | 2015-01-16 | 2016-08-10 | 中国科学院上海高等研究院 | Real-time situation model and visual fusion decision method and system |
-
2016
- 2016-11-30 CN CN201611082590.2A patent/CN106779185A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101546336A (en) * | 2009-05-06 | 2009-09-30 | 江西省电力信息通讯有限公司 | Danger chemical article leakage diffusion model and GIS integration exhibition method |
| CN102567808A (en) * | 2010-12-31 | 2012-07-11 | 北京工业大学 | Method for forecasting and warning accident consequence of major hazard installation by combining with real-time meteorological information |
| CN105373997A (en) * | 2014-08-29 | 2016-03-02 | 中国科学院上海高等研究院 | Real-time weather data-based evacuation method during occurrence of dangerous chemical leakage accident |
| CN105844339A (en) * | 2015-01-16 | 2016-08-10 | 中国科学院上海高等研究院 | Real-time situation model and visual fusion decision method and system |
| CN104597212A (en) * | 2015-02-03 | 2015-05-06 | 无锡中电科物联网创新研发中心 | Atmospheric pollution source locating method |
| CN105301190A (en) * | 2015-10-15 | 2016-02-03 | 康俊瑄 | Chemical accident site poisonous gas monitoring system and emergency processing method thereof |
| CN105512765A (en) * | 2015-12-09 | 2016-04-20 | 国网山东省电力公司应急管理中心 | Hazardous chemical substance enterprise accident electric power emergency disposition method and system based on power grid GIS |
| CN105631586A (en) * | 2015-12-24 | 2016-06-01 | 河北远东通信系统工程有限公司 | Risk analyzing and processing method based on GIS |
Non-Patent Citations (1)
| Title |
|---|
| 叶东芬 等: "《基于高斯扩散模型的化工危险品泄漏区域计算及其实现》", 《计算机与应用化学》 * |
Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107229744A (en) * | 2017-06-22 | 2017-10-03 | 安徽山鼎信息科技有限公司 | City emergency command system based on GIS |
| CN107180402A (en) * | 2017-07-06 | 2017-09-19 | 北京路图智达信息技术有限公司 | The live method for generating plan of the emergent accident of interactive mode based on genetic algorithm |
| CN107665577A (en) * | 2017-09-14 | 2018-02-06 | 青岛海信网络科技股份有限公司 | A kind of traffic alert treating method and apparatus |
| CN108171373A (en) * | 2017-12-26 | 2018-06-15 | 杭州电子科技大学 | A kind of chemical industrial park poison gas reveals best-effort path planing method |
| CN108171373B (en) * | 2017-12-26 | 2021-12-03 | 杭州电子科技大学 | Escape path planning method for toxic gas leakage in chemical industry park |
| CN108597215A (en) * | 2018-04-18 | 2018-09-28 | 重庆科技学院 | LNG tank car Accidents Disasters are estimated and emergency rescue system |
| CN110569514A (en) * | 2018-06-06 | 2019-12-13 | 中国石油化工股份有限公司 | Method for determining leakage pollution range of hazardous chemical substances |
| CN109141423A (en) * | 2018-08-01 | 2019-01-04 | 中国建筑科学研究院有限公司 | Evacuation route navigation system based on toxic gas diffusion influence |
| CN109741208A (en) * | 2018-12-14 | 2019-05-10 | 广州供电局有限公司 | Large area blackout emergency first-aid repair scheme determines method and apparatus |
| CN109922428A (en) * | 2019-03-06 | 2019-06-21 | 山东科技大学 | A kind of quick long distance positioning in hazardous gas spillage source and emergency security system |
| CN110001499A (en) * | 2019-04-15 | 2019-07-12 | 南京市锅炉压力容器检验研究院 | A kind of harmful influence haulage vehicle leakage detecting and emergency disposal intelligent decision system and its operation process |
| CN110428193A (en) * | 2019-06-14 | 2019-11-08 | 上海中旖能源科技有限公司 | Multi-mode liquefied natural gas carrier vehicle screening technique based on track of vehicle data |
| CN110442091A (en) * | 2019-07-03 | 2019-11-12 | 浙江天澈科技有限公司 | A kind of chemical plant electronization emergency preplan and accident handling householder method |
| CN112634107A (en) * | 2019-09-20 | 2021-04-09 | 中国石油化工股份有限公司 | Device for investigating an accident and method implemented therein |
| US11977014B2 (en) | 2019-10-14 | 2024-05-07 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for analyzing diffusion trend of diffusible substance |
| WO2021073474A1 (en) * | 2019-10-14 | 2021-04-22 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for analyzing diffusion trend of diffusible substance |
| CN111145633A (en) * | 2019-12-17 | 2020-05-12 | 武汉理工大学 | Urban road hazardous chemical transport poison gas leakage diffusion risk potential map construction method |
| CN111145633B (en) * | 2019-12-17 | 2021-07-06 | 武汉理工大学 | Urban road hazardous chemical transport poison gas leakage diffusion risk potential map construction method |
| WO2021129715A1 (en) * | 2019-12-26 | 2021-07-01 | 清华大学 | Evacuation area calculation method and apparatus, and electronic device and storage medium |
| CN111505205A (en) * | 2020-01-20 | 2020-08-07 | 中国安全生产科学研究院 | Improved search algorithm for strong back calculation of gas leakage source |
| CN111640280A (en) * | 2020-04-21 | 2020-09-08 | 北京北大千方科技有限公司 | Subway station pollutant early warning method based on multi-source information fusion |
| CN112052307A (en) * | 2020-08-19 | 2020-12-08 | 青岛海信网络科技股份有限公司 | Dangerous chemical disaster situation prompting method and device |
| CN113112053A (en) * | 2021-03-18 | 2021-07-13 | 苏州真趣信息科技有限公司 | Emergency monitoring system |
| CN112991116A (en) * | 2021-03-31 | 2021-06-18 | 中国核动力研究设计院 | Outdoor emergency response real scene simulation method and system for nuclear power plant |
| CN113313400A (en) * | 2021-06-08 | 2021-08-27 | 中国石油大学(北京) | Accident warning method, accident warning device and storage medium |
| CN113313400B (en) * | 2021-06-08 | 2023-12-15 | 中国石油大学(北京) | Accident warning method, device and storage medium |
| CN113569827A (en) * | 2021-09-27 | 2021-10-29 | 山东蓝湾新材料有限公司 | Method and device for giving alarm when dangerous chemical vehicle has accident |
| CN115034718A (en) * | 2022-06-27 | 2022-09-09 | 清云智通(北京)科技有限公司 | Hazardous chemical management method, hazardous chemical management system, computing equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106779185A (en) | A kind of emergency traffic command methods based on harmful influence diffusion model | |
| Lindell et al. | A hurricane evacuation management decision support system (EMDSS) | |
| CN110929923A (en) | Urban safety risk management and control system based on digital twin technology | |
| US20170091350A1 (en) | Near real-time modeling of pollution dispersion | |
| Vamanu et al. | Critical Infrastructures: Risk and vulnerability assessment in transportation of dangerous goods | |
| CN106448267A (en) | Road traffic accident chain blocking system based on Internet of Vehicles | |
| AlRukaibi et al. | Optimal route risk-based algorithm for hazardous material transport in Kuwait | |
| Shen et al. | Application of XGBoost for hazardous material road transport accident severity analysis | |
| Zhang et al. | Real-time decision-support system for freeway management and control | |
| CN113554371A (en) | Hierarchical management-based hazardous chemical substance transportation comprehensive management method, device and system | |
| CN115545389A (en) | Emergency dispatching method and device | |
| Ma et al. | Real-time risk assessment model for hazmat release accident involving tank truck | |
| CN103971168B (en) | Hazardous chemical transport hazard predicting and controlling system | |
| Hu et al. | Analyzing factors and interaction terms affecting urban fatal crash types based on a hybrid framework of econometric model and machine learning approaches | |
| CN114495421B (en) | Intelligent open type road construction operation monitoring and early warning method and system | |
| CN113449918B (en) | Emergency command aid decision-making method and system for sudden major pollution event | |
| Kanj | Contribution to risk analysis related to the transport of hazardous materials by agent-based simulation | |
| Popov et al. | Peculiarities of Specialized Software Tools Used for Consequences Assessment of Accidents at Chemically Hazardous Facilities | |
| CN112732671B (en) | Space-time trajectory data-driven automatic driving safety scene element modeling method | |
| De Silva et al. | Evacuation planning and spatial decision making: designing effective spatial decision support systems through integration of technologies | |
| De Silva | Challenges in designing spatial decision support systems for evacuation planning | |
| Laarabi | Multi-criteria route optimization for dangerous goods transport using fuzzy risk assessment and agent-based traffic simulation | |
| Ma et al. | Development of an Integrated Emergency Management System for hazardous materials transport: Improve the transportation safety and enhance the efficiency of Emergency Response | |
| Lee | GIS-based route risk assessment of hazardous material transport | |
| Kreta et al. | Remote sensing and GIS for spatial analysis of surface water quality and soil pollution |
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 | ||
| CB02 | Change of applicant information |
Address after: 210019 No. 58 East Street, Nanxi River, Jianye District, Nanjing, Jiangsu Applicant after: Zhong Tong clothing consulting and Design Research Institute Co., Ltd. Address before: 210019 No. 58 East Street, Nanxi River, Jianye District, Nanjing, Jiangsu Applicant before: Jiangsu Posts & Telecommunications Planning and Designing Institute Co., Ltd. |
|
| CB02 | Change of applicant information | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170531 |
|
| RJ01 | Rejection of invention patent application after publication |