CN105139325A - Management method of self-starting disaster recovery plans and searching system - Google Patents
Management method of self-starting disaster recovery plans and searching system Download PDFInfo
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- CN105139325A CN105139325A CN201510618695.4A CN201510618695A CN105139325A CN 105139325 A CN105139325 A CN 105139325A CN 201510618695 A CN201510618695 A CN 201510618695A CN 105139325 A CN105139325 A CN 105139325A
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Abstract
The invention provides a management method of self-starting disaster recovery plans and a searching system. According to the invention, by universalizing assemblies, all factors are abstracted as all kinds of factors, irrelevant to business, like point, line and face in the computer field, and are uniformly processed and analyzed, and visualization operation is executed, so universality and uniformity of a platform are ensured. When there are a few of factors and disaster types are different, large quantity of resources will not be wasted and operation efficiency can be ensured. By combining real-time information and emergencies, the optimal path can be corrected in real time, and much more time can be gotten. The plan starting judging procedure is optimized, and the system will give out a plan starting alarm according actual front-end monitoring data or numbers of early warning in all places, so it can be avoided that the plane will not be timely started due to missing of specific information during the searching process. By overlaying the layer information and calling related data, information reference is provided. According to the data affected by plan execution results, dynamic adjustment can be performed in real time, selection of the optimal path can be corrected in real time and the management method and the searching system have higher application value.
Description
Technical field
The present invention relates to field of information management of preventing and reducing natural disasters, be specifically related to a kind of self-starting calamity for the management method of prediction scheme and inquiry system.
Background technology
In the last few years, National Nature disaster took place frequently, particularly major natural disasters, for country causes huge economic loss, also expose simultaneously China fight calamities and provide relief in some problems.In the Emergency decision stage, taking of relevant emergency measure is all the establishment result based on local prediction scheme, along with the abundant of Disasters Type and to calamity for measure effect require more and more higher, there is multiple deficiencies such as upgrading not in time, poor, the consulting property difference of sharing, prediction scheme measure expression are not directly perceived in traditionally on paper prediction scheme, and informatization just in time compensate for this point.
The introducing of informationization technology creates the online electronic management of prediction scheme, the file management rested on prediction scheme electronic document of current most of program management more, comprise the increasing newly of document, delete, amendment etc., in fact, although solve replacement problem and the sharing problem of prediction scheme, but the expression of prediction scheme is still many to be described by word, express not directly perceived, relevant calamity consults inconvenience for commanding, the electronization realizing prediction scheme so claim in the industry is shown, by being undertaken visual by the information of prediction scheme, and it is more directly perceived in conjunction with deduction technology, prediction scheme to be shown.
At present, have in the industry more stakeholder to propose calamity for the visual system concept of prediction scheme, but system concept does not have embody rule case at present, can it realize waiting further textual criticism.More typical scheme: system is by visual advanced technologies such as integrated application GIS, VR, FLASH, abstract expression is carried out to each key element in emergency preplan, marks on remote sensing image and Vector Electronic Map with the compound pattern symbol of correspondence; Deduce with the prediction scheme of the various ways such as multi-spatial scale, many time serieses to different calamity kind simultaneously.
Concrete concept comprises following content:
1, prediction scheme is visual
Prediction scheme is visual is based on technology such as GIS, FLASH, VR, carry out Visualization with Fundamental Geographic Information System map, remote sensing image for background for Trinitarian all kinds of emergency preplans such as the word in emergency preplan storehouse, figure, forms, the various ways such as Graphics Application plotting and Computer dynamic simulation represent all kinds of fundamentals in emergency preplan.Mainly include following functions:
(1) map basic operation: to Remote sensing photomap, map vector, dem data carries out Overlapping display and cartographic information is browsed, and comprising: amplification, the translation of map, reduce, two dimension three-dimensional switchings, quick position, click, overlook, look squarely, full figure shows, hawk-eye function.
(2) map label: to the label character function of Remote sensing photomap, picture marking Function, route marking Function and planar marking Function, system manager and system user can use more multimode to carry out the map label of ad-hoc location, represent the information of current geographic with directly perceived, eye-catching effect.
(3) goods and materials distribution is visual: show disaster relief supplies distribution situation, and system manager and system operator can use multiple different condition to inquire about the relief goods distribution situation obtaining current disaster area, are presented on map with directly perceived, eye-catching effect.The detailed deposit place of the provide disasters relief and reduce natural disasters goods and materials of appointed place, goods and materials kind, quantity rank, distribution situation and relevant information can be inquired, and export the content of this inquiry, with for subsequent use and print this goods and materials distribute queries result.
(4) disaster relief strength is visual: marking Function such as application label character, picture mark etc., what complete disaster relief strength represents function, system manager and system operator can use multiple different condition to inquire about the rescue force distribution circumstances obtaining current disaster area, are presented on map with directly perceived, eye-catching effect.
(5) disaster relief route is visual: use label character, picture mark, path mark etc. to complete the display function of disaster relief circuit, system manager and system operator can use the inquiry of multiple different condition to obtain the rescue route distribution circumstances in current disaster area, are presented on map with directly perceived, eye-catching effect.By disaster relief route visual query function, select disaster relief strength location title and disaster area title, the visual information of nearest, the optimal route of disaster relief route can be inquired, comprise the length of route, the situation of route: damage degree, degree of congestion, current degree, the type of disaster relief route, and the detailed description information of corresponding route.
(6) goods and materials allotment route is visual: represent goods and materials allotment route by using the functions such as label character, picture mark, path mark and planar mark.System manager and system operator can use the inquiry of multiple different condition to obtain the goods and materials allotment route conditions in current disaster area, are presented on map with directly perceived, eye-catching effect.By goods and materials allotment route visual query function, select disaster relief supplies location and disaster area title, the visual information of nearest, the optimal route of disaster relief supplies allotment route can be inquired, represent the essential information of the goods and materials allotment routes such as goods and materials type, goods and materials quantity, route conditions, route degree of passing through respectively with different label characters, picture mark, path mark.
(7) evacuating personnel route is visual: the route being represented evacuating personnel by label character, picture mark, path mark and planar mark etc.System manager and system operator can use multiple different condition to inquire about the evacuating personnel route conditions obtaining current disaster area, are presented on map with directly perceived, eye-catching effect.By evacuating personnel route visual query function, select disaster area title, nearest, optimum, for subsequent use evacuation route can be inquired, quantity, the distributed intelligence of disaster region personnel and evacuating personnel route information is represented: road conditions are passed through degree, breaking-up degree, blockage percentage etc. with label character, picture mark, path mark.
(8) symbol sharing and customization: complete the uploading of symbol picture, manage and template definition.Classification Management can be carried out to the symbol of different stage, different symbol pictures can be uploaded.Include symbol sharing interpolation, amendment, delete function, symbol customization is selected, the functions such as amendment.
2, prediction scheme trend is deduced
It is utilize to perform in a radio or TV programme technology based on the deduction simulation of scenario analysis model and situation that prediction scheme trend is deduced, comprise based on multiple scenario analysis models such as flood, geologic hazard, low-temperature freezing rain and snow disasters, the modes such as Graphics Application plotting and computer animation are deduced in the different sight of simulation, along with gradually changing of time, hazard-affected body, accumulate calamity environment, Flood inducing factors common intervention under, the implementation of prediction scheme, implementation result, coverage and variation tendency.Mainly include following content:
(1) disaster relief route is deduced: represent with animation form, As time goes on, when road conditions blockage percentage, breaking-up degree, current degree change, and the position that disaster relief troop may arrive, and with disaster relief personnel state essential information.
(2) evacuating personnel is deduced: represent with the form of animation, passing in time and the difference of position, the evacuation situation of disaster area personnel, comprises the speed of evacuation, to evacuate and position that the personnel amount, the evacuation personnel that do not evacuate arrive, and the situation information such as condition.
(3) goods and materials allotment route is deduced: represent with the form of animation, along with seasonal effect in time series is different, goods and materials whether allotment situation, goods and materials have arrived appointed place, whether goods and materials are provided, information such as disaster relief supplies deposit situation, all types of disaster relief supplies demand ratios etc.
This scheme has following shortcoming:
Shortcoming 1:
The method of the visual employing of prediction scheme is that the concrete key element of being correlated with for map basic operation, map label, goods and materials distribution, disaster relief strength, disaster relief route, goods and materials allotment route, evacuation route prediction scheme is independently carried out visual, the relevant different key elements of prediction scheme are caused to need to carry out visualized operation separately, lack versatility and unitarity, when key element quantity is many, need the resource of at substantial, influential system development progress, running efficiency of system also can be slack-off.
Shortcoming 2:
It is perform in a radio or TV programme technology based on the deduction simulation of scenario analysis model and situation that prediction scheme is deduced, it is the prediction scheme deduction simulation after presetting terms and conditions, cannot in the process of simulation, the data that the meeting produced after pre-conditioned according to the front end Monitoring Data (watermark protocol, geologic hazard point, storm water etc.), the commanding and decision-making suggestion of leading body at a higher level, actual road conditions, goods and materials troop allotment state etc. of reality has an impact to prediction scheme execution result and dynamic conditioning in real time, the practical business using value causing prediction scheme to be deduced is not high.
Shortcoming 3:
Visual and the prediction scheme of prior art is deduced all based on two-dimension GIS platform, directly perceived not under some application scenarios, effect of visualization cannot meet actual business demand, such as, storm tide overflows the visual of the scenes such as dike, and two-dimensional visualization cannot realize on a figure, simulate sea level fluctuations, wave high and dykes and dams warning line, the disaster-stricken effect of flooding situation of littoral hazard-affected body.
Shortcoming 4:
Existing prediction scheme visual information system is many just for commanding provides information reference, and commanding judges to determine whether launch emergency provision and start what prediction scheme artificial, then according to prediction scheme flow process, specification carries out the distribution of materials, relief performs.This contingency procedure places one's entire reliance upon artificial by collecting much information, and subjective judgement makes decisions.This mode of operation depends on the personal experience of commanding, and simultaneously subjectivity is strong, but commanding arrives another place when carrying out commander's work, may because of to the local hydrology, not understanding of geological state and cannot carrying out the work smoothly.Meanwhile, because needs are manually collected much information, when control area is larger, often misses some monitor node data and then cause prediction scheme to start not in time, carrying out smoothly of the work of preventing and reducing natural disasters cannot be ensured.
Summary of the invention
In view of this, the present invention proposes a kind of self-starting calamity for the management method of prediction scheme and inquiry system, realizes flood situation damage caused by a drought disaster and the serial disaster that causes based on flood situation disaster, if the calamity of mountain flood, geologic hazard etc. is for the management of prediction scheme information.
The present invention realizes by the following technical solutions: a kind of self-starting calamity is for the management method of prediction scheme, it is characterized in that: comprise the following steps: step S1: integrate the Real-time Monitoring Data relevant to disaster and historical disaster data, described Real-time Monitoring Data comprises Hydrologic Information and the rain condition information of Real-Time Monitoring; Step S2: formulate For Prepapatory Program of Disaster Prevention, and determine that For Prepapatory Program of Disaster Prevention entry condition is to determine whether launch emergency provision; Step S3: realize prediction scheme visual, for the various data in prediction scheme in conjunction with universalization assembly, related data is generalized as point, line, surface, text, three-dimensional model, multidate information respectively, form corresponding information layer, to support to carry out unitized visualized operation, and result pushed to application service; Step S4: the prediction scheme entry condition according to step S2, builds prediction scheme and starts event, if meet entry condition, then trigger event, and to the confirmation of user's active push whether launch emergency provision, and in conjunction with current watermark protocol monitoring situation, the explanation of launch emergency provision of offering suggestions; Step S5: if staff thinks not yet reach prediction scheme entry condition, refusal launch emergency provision, system pushes interim prediction scheme adjustment suggestion, by staff according to oneself judging that setting up interim prediction scheme starts event, returns step S4; If if staff thinks reach prediction scheme entry condition, launch emergency provision, enters step S6; Step S6: system directly pushes the relevant map data mining platform of prediction scheme, and based on GIS platform, layer is carried out superposition and show; According to demand, to needing the layer of showing to select, realize decision commanding by the association between layer, system judges disaster-stricken point, withdraws place, destination user fast, and draws the path of presetting in prediction scheme; By relief goods troop, traffic roadmap visual presentation in GIS platform; Step S7: occur to carry out optimum route analysis based on on-site transportation network figure by event, and visual presentation is carried out with a figure in GIS platform; Step S8: the artificial corrected parameter input interface that emergency situations is provided, when withdrawing personnel, the transport of relief materials troop in transit run into front end monitoring instrument cannot the emergency situations of perception time by artificial input status data, calculated by manual intervention best route, avoid emergency situations, produce rational optimal path.
Further, also comprise step S9: by configuring a mobile terminal system to flood control person liable, this mobile terminal system realize between person liable and and the contacting of commanding agency, utilize the positioning function of mobile terminal, realize the identification to current transfer personnel positions, and pass through the real-time typing of person liable, realize the real-time report to transfer personnel number, in conjunction with explosive area number in prediction scheme, optimize rescue method further.
Further, also comprise step S10: by record move redundant labor transfer and goods and materials transferring route, history route data is accumulated, for rescuing optimization and the planning of route in the future.
In an embodiment of the present invention, described entry condition is whether the rainfall monitoring value of the Real-Time Monitoring rainfall website of specifying exceedes secure threshold or specify the water level monitoring value of Real-Time Monitoring regimen website whether to exceed secure threshold.
In an embodiment of the present invention, step S1 also comprises collecting of subordinate's regional early warning report log-on message; Entry condition in step S2 is whether the precaution alarm quantity in subordinate region exceedes secure threshold thus determine whether prediction scheme startup pushes.
In an embodiment of the present invention, described step S3 comprises the following steps: step S31: point the visual of key element comprises the following steps: use the point range pel of GIS platform to draw, associated by the positional information of form by each some key element, and by association relevant factor legend, this position is labeled as corresponding key element legend by map; Color value or texture coordinate value are set to each point simultaneously and give and certain refer to implication, this key element is intuitively shown in GIS platform, and by calculating coordinate figure, the mobile operation of some key element in GIS platform can be realized; Step S32: the visual of line feature comprises the following steps: use the alignment of GIS platform or tape pel to draw, each key element generates the position coordinate of certain oversampling ratio according to actual needs automatically, and associates Linear element icon; Step S33: the visual of face key element is calculated by structure network of triangle and network of triangle texture coordinate value; Step S34: text elements mainly carries out additional notes explanation to visual content, will need the visual key element of supplementary notes and describe textual association, in GIS platform, interlock be shown; Step S35: third dimension element visual by carrying out three-dimensional modeling to the main building in jurisdiction, main hazard-affected body, important elements, and model is imported in database; Step S36: multidate information is mainly prediction scheme implementation, dynamic similation process and result, multidate information visual be with the form of animation to show prediction scheme implementation status, rescue team position is moved, evacuating personnel situation, goods and materials allotment progress.
In the present invention with in embodiment. optimum route analysis described in step S7 is in the path looking for an obstruction degree minimum of specifying two nodes in transportation network, and described obstruction degree is weighed with distance, time or expense.
The present invention also provides a kind of self-starting calamity for the inquiry system of prediction scheme, it is characterized in that: comprise data collection module, prediction scheme visualization model, prediction scheme startup determination module, prediction scheme startup pushing module, prediction scheme display module, prediction scheme optimization module and corrected parameter access module; Described data collection module is used for collecting Real-time Monitoring Data, historical disaster data, history reply data and precaution alarm at different levels and starts data, is systems with data basis; It is visual that described prediction scheme visualization model is used for prediction scheme, and the data provided described data collection module, in conjunction with universalization assembly, are shown by point, line, surface, text, three-dimensional model, multidate information; Described prediction scheme starts determination module and is used for setting to prediction scheme decision condition and judgement; After the judgement of described prediction scheme startup determination module satisfies condition, described prediction scheme startup pushing module realizes the propelling movement of prediction scheme initiate notification, if prediction scheme pushes unsuccessfully, then again proceed to and start described prediction scheme startup determination module, if prediction scheme pushes successfully, determine launch emergency provision, enter described prediction scheme display module; Described prediction scheme display module is used for the superposition of prediction scheme information layer, prediction scheme information is carried out visual presentation and draws prediction scheme preset path; Module comprises path range finder module to the optimization of described prediction scheme, historical data checks module and monitoring information superposition display module, calls by what check module and monitoring information superposition display module to path range finder module, historical data the optimization realized path; Described corrected parameter access module is used for the typing to emergency situations information, and based on prediction scheme display module, shows emergency situations.
Further, also mobile terminal is comprised; Described mobile terminal is used for goods and materials and the location withdrawing dispatch personnel position, and in real time positioning result is uploaded, backup system decision-making, and by described data collection module, transferring route data are collected, for use in optimization and the planning of rescuing route in the future.
Compared with prior art, the present invention is by adopting the mode of universalization assembly, by abstract for the every key element point irrelevant for business, line, the key element of all kinds of computer realm such as face, unified Treatment Analysis also performs visualized operation, versatility and the unitarity of platform are ensured, when key element quantity is many, when Disasters Type is different, also without the need at substantial resource, can safeguards system development progress and practical business application time system operational efficiency, safeguards system joining with real-time information and emergency situations can revise optimal path in real time, for the time of more preciousnesses is striven in rescue and relief work, optimize prediction scheme and start decision process, can according to the front end Monitoring Data of reality (watermark protocol, geologic hazard point, storm water etc.) or various places precaution alarm quantity, system gives prediction scheme and starts prompting, avoid because of the omission to individual information in view procedure, and could not launch emergency provision in time, for calamity for measure take gain time, by the superposition of map data mining platform and calling of related data, can for the commanding and decision-making suggestion of leader, for the distribution of materials, the proposition of the measures such as personnel send provides information reference, and the data that can have an impact according to prediction scheme execution result and real-time dynamic conditioning, real-time correction optimal path selection, has very high practical business using value.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of one embodiment of the invention.
Fig. 2 is that in one embodiment of the invention, the best rescue path figure of manual intervention shows schematic diagram at GIS platform one figure.
Fig. 3 is the process flow diagram of another embodiment of the present invention.
Fig. 4 is primary structure schematic diagram of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention will be further described.
The invention provides the management method of a kind of self-starting calamity for prediction scheme.
In an embodiment of the present invention, idiographic flow is see Fig. 1, and the method mainly comprises the following steps:
Step one: integrate the Real-time Monitoring Data relevant to disaster and history reply data, comprise the relevant informations such as the Hydrologic Information of Real-Time Monitoring and rain condition information;
Step 2: formulate For Prepapatory Program of Disaster Prevention, the formulation of prediction scheme can comprehensively local conditions many-side be considered, and determine the entry condition of local For Prepapatory Program of Disaster Prevention, launch emergency provision can be determined whether by the water level monitoring value of the rainfall monitoring value or Real-Time Monitoring regimen website of specifying Real-Time Monitoring rainfall website.In the specific embodiment of the invention, launch emergency provision can be carried out according to rain condition in somewhere, by specifying rain condition monitoring station, Real-Time Monitoring is carried out to rainfall, when rainfall in a hour reach 50mm and above or rainfall in three hours reach 90mm and above or 24 hours in rainfall reach 150mm and above time, start For Prepapatory Program of Disaster Prevention.
Step 3: realize prediction scheme visual, for the various data in prediction scheme in conjunction with universalization assembly, related data is generalized as the key elements such as point, line, surface, text, three-dimensional model, multidate information respectively, form corresponding information layer, to support to carry out unitized visualized operation, and result pushed to application service.Wherein the main contents of point, line, surface, text, three-dimensional model, multidate information and feature are see table 1.
Table 1:
| Key element | Particular content | Feature |
| Point | Monitoring station, material depot, rescue group distribution, calamity hidden danger point, hazard-affected body etc. | A point position in spatial dimension, has location feature |
| Line | River, road, isoline, administrative division, the network of communication lines, evacuation route, evacuation route, rescue route etc. | The wire extended along certain direction in spatial dimension or band shape |
| Face | Reservoir, lake, disaster coverage, contour surface etc. | Spatially there is the distribution of continuous planar |
| Text | The title of key element, description | Written form prediction scheme key element aid illustration |
| Three-dimensional model | Bridge, hydraulic engineering, construction work, vehicle etc. | Three dimensions has the fractions distribution that multiple key elements are formed |
| Multidate information | Numerical simulation result, status information etc. | System real time modelling routing information |
The key elements such as point, line, surface, text, three-dimensional model, multidate information visual specific as follows:
1) key element, is put visual
The visual point range pel of GIS platform that can use of some key element is drawn, and is associated by the positional information of form by each some key element, and by association relevant factor legend, position that map will be changed the time is labeled as corresponding key element legend.Color value or texture coordinate value are set to this rectangle each point simultaneously, thus give to some key element certain to refer to implication, enable intuitively to show in GIS platform.
Use icon to do the texture image of a key element under normal circumstances, icon is the computer graphical with clear and definite implication, and it has high enrichment and the characteristic of the memory that fast conveys a message, is convenient to.Such as each class resource all can with an icon representation.Here adopt a set of .png form, size is the icon of 32X32 or 64X64 pixel, represents involved each corner key element.When the newly-increased key element of needs, only need increase by a group icon layer, be superimposed upon on former figure.
2), line feature is visual
Alignment or the tape pel of the visual use GIS platform of line feature are drawn, each key element generates the position coordinate of certain oversampling ratio according to actual needs automatically, and connect each position coordinate, and associate Linear element icon, realize the visual drafting of Linear element in GIS platform.Sill thought carries out the buffer zone analysis of one fixed width with salient angle arc method and angular bisectrix method to line feature, carries out triangle subdivision, form several triangles, composes upper color value or texture coordinate value, then draw to leg-of-mutton each summit.
3), face key element is visual
Visual structure network of triangle and the network of triangle texture coordinate value of being divided into of face key element calculates two steps.
4), text elements is visual
Text elements mainly carries out additional notes explanation to visual content, only by needing the visual key element of supplementary notes and describing textual association, GIS platform need link and show.
5), three-dimensional model is visual
Need the main building in jurisdiction, main hazard-affected body, important elements are carried out to three-dimensional modeling, and imported in database by model.
6), multidate information is visual
Multidate information is mainly the information such as prediction scheme implementation, dynamic similation process and result, multidate information visual be with the form of animation to show prediction scheme implementation status, rescue team position is moved, evacuating personnel situation, goods and materials allotment progress etc., animation types comprises: flash, convergent-divergent, movement etc.
Step 4: the prediction scheme entry condition according to step S2, build prediction scheme and start event, formulation event is carried out by prediction scheme entry condition being combined the regimen, the rain condition monitoring result that receive, when system monitoring to regimen, rain condition monitoring result meet or when exceeding threshold value, then trigger event, and to the confirmation of user's active push whether launch emergency provision, and in conjunction with current watermark protocol monitoring situation, the explanation why advising launch emergency provision is provided, staff, according to system providing information, does the final confirmation of launch emergency provision.
Step 5: if staff thinks not yet reach prediction scheme entry condition, can refuse to start, and system pushes interim prediction scheme adjustment suggestion, and staff is according to oneself judging that setting up interim prediction scheme starts event, returns step 4; Otherwise execution step 6.
Step 6: after prediction scheme starts, system directly pushes the relevant map data mining platform of prediction scheme, and based on GIS platform, the superposition realizing layer is shown.User according to demand, select needing the layer of showing, decision commanding is realized by the association between layer, system judges disaster-stricken point fast, withdraws place, destination, draw the path of presetting in prediction scheme, by relevant factor visual presentations such as relief goods troop, traffic roadmaps in GIS platform.
Step 7: decision commanding scheme optimization, the modal object of decision commanding allows relief goods troop must arrive disaster field within the shortest time implement rescue, needs personnel to evacuate as early as possible to harbor if desired.Based on above object, all need to occur to carry out optimum route analysis based on on-site transportation network figure by event, and in GIS platform a figure visual presentation, convenient relevant leader commanding and decision-making, for the route of evacuating personnel provides Data support.Optimum route analysis is exactly that obstruction degree can be weighed by distance, time, crowding, expense etc. in the path looking for an obstruction degree minimum of specifying two nodes in transportation network.
Access Real-time Monitoring Data, such as along road watermark protocol information (having determined whether the hazards such as water level rises suddenly and sharply, burst heavy rain), information on geological disasters (having determined whether that geologic hazard is dangerous), weather forecast information (judging this path future weather conditions on the way), evacuation route road traffic condition etc., and a figure displaying on the way in GIS platform, revise path in real time during dangerous situation, recalculate optimal path.
In addition, in conjunction with historical data base, this path viability can also be judged, and in conjunction with historical disaster data, the data such as calamity hidden danger point, path is optimized.
Step 8: the artificial corrected parameter input interface that emergency situations is provided, when withdrawing personnel, the transport of relief materials troop in transit run into front end monitoring instrument cannot the emergency situations of perception time (such as landslide, injury to personnel need promptly to send to hospital treatment, road and cannot move on because of barrier obstruction), can by artificial input status data, manual intervention best route calculates, thus avoid emergency situations, produce rational optimal path.And after carrying out visualized operation via visual general purpose module, at GIS platform figure real-time exhibition, specifically see Fig. 2.
In step 9, personnel's evacuation process, often have corresponding flood control person liable to lead, often by configuring mobile terminal system to flood control person liable, realize between person liable and and the contacting of commanding agency, the positioning function of mobile terminal can be utilized, realize the identification to current transfer personnel positions, and by the typing of person liable, realizing reporting transfer personnel's number, in conjunction with explosive area number in prediction scheme, providing reference for carrying out redundant labor transfer work further.
Step 10, by record move redundant labor transfer and goods and materials transferring route, realize the accumulation to history route data, to be used for the optimization planning of route in the future.
The present embodiment compares and is applicable to township level or precaution alarm at county level, and supervision face is smaller, and the For Prepapatory Program of Disaster Prevention that less grade is shown.
In an alternative embodiment of the invention, be applicable to provinces and cities' grade, supervision face is larger, and the For Prepapatory Program of Disaster Prevention that higher grade is shown.Be with the difference of one embodiment of the invention: collecting of subordinate region (township level or at county level) the precaution alarm log-on message that in step one, emphasis realizes; Entry condition in step 2 is whether township level or precaution alarm quantity at county level exceed secure threshold thus determine whether prediction scheme startup pushes; Step 6, emphasis realizes sending and disposing and the scheduling of disaster relief supplies the troop that speedily carries out rescue work; Other steps and one embodiment of the invention similar.Particular flow sheet is see Fig. 3.
The present invention also provides a kind of self-starting calamity for the inquiry system of prediction scheme, concrete structure figure is see Fig. 4, and this system comprises data collection module, prediction scheme visualization model, prediction scheme starts determination module, prediction scheme starts pushing module, prediction scheme display module, prediction scheme optimize module and corrected parameter access module; Described data collection module is used for collecting Real-time Monitoring Data, historical disaster data, history reply data and precaution alarm at different levels and starts data, is systems with data basis; It is visual that described prediction scheme visualization model is used for prediction scheme, and the data provided described data collection module, in conjunction with universalization assembly, are shown by point, line, surface, text, three-dimensional model, multidate information; Described prediction scheme starts determination module and is used for setting to prediction scheme decision condition and judgement; After the judgement of described prediction scheme startup determination module satisfies condition, described prediction scheme startup pushing module realizes the propelling movement of prediction scheme initiate notification, if prediction scheme pushes unsuccessfully, then again proceed to and start described prediction scheme startup determination module, if prediction scheme pushes successfully, determine launch emergency provision, enter described prediction scheme display module; Described prediction scheme display module is used for the superposition of prediction scheme information layer, prediction scheme information is carried out visual presentation and draws prediction scheme preset path; Module comprises path range finder module to the optimization of described prediction scheme, historical data checks module and monitoring information superposition display module, calls by what check module and monitoring information superposition display module to path range finder module, historical data the optimization realized path; Described corrected parameter access module is used for the typing to emergency situations information, and based on prediction scheme display module, shows emergency situations.
Further, also mobile terminal is comprised; Described mobile terminal is used for goods and materials and the location withdrawing dispatch personnel position, and in real time positioning result is uploaded, backup system decision-making, and by described data collection module, transferring route data are collected, for use in optimization and the planning of rescuing route in the future.
In sum; above-listed preferred embodiment provided by the invention; the object, technical solutions and advantages of the present invention are further described; be understood that; the foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all; any amendment of doing, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. self-starting calamity, for a management method for prediction scheme, is characterized in that: comprise the following steps:
Step S1: integrate the Real-time Monitoring Data relevant to disaster and historical disaster data, described Real-time Monitoring Data comprises Hydrologic Information and the rain condition information of Real-Time Monitoring;
Step S2: formulate For Prepapatory Program of Disaster Prevention, and determine that For Prepapatory Program of Disaster Prevention entry condition is to determine whether launch emergency provision;
Step S3: realize prediction scheme visual, for the various data in prediction scheme in conjunction with universalization assembly, related data is generalized as point, line, surface, text, three-dimensional model, multidate information respectively, form corresponding information layer, to support to carry out unitized visualized operation, and result pushed to application service;
Step S4: the prediction scheme entry condition according to step S2, builds prediction scheme and starts event, if meet entry condition, then trigger event, and to the confirmation of user's active push whether launch emergency provision, and in conjunction with current watermark protocol monitoring situation, the explanation of launch emergency provision of offering suggestions;
Step S5: if staff thinks not yet reach prediction scheme entry condition, refusal launch emergency provision, system pushes interim prediction scheme adjustment suggestion, by staff according to oneself judging that setting up interim prediction scheme starts event, returns step S4; If if staff thinks reach prediction scheme entry condition, launch emergency provision, enters step S6;
Step S6: system directly pushes the relevant map data mining platform of prediction scheme, and based on GIS platform, layer is carried out superposition and show; According to demand, to needing the layer of showing to select, realize decision commanding by the association between layer, system judges disaster-stricken point, withdraws place, destination user fast, and draws the path of presetting in prediction scheme; By relief goods troop, traffic roadmap visual presentation in GIS platform;
Step S7: occur to carry out optimum route analysis based on on-site transportation network figure by event, and visual presentation is carried out with a figure in GIS platform;
Step S8: the artificial corrected parameter input interface that emergency situations is provided, when withdrawing personnel, the transport of relief materials troop in transit run into front end monitoring instrument cannot the emergency situations of perception time by artificial input status data, calculated by manual intervention best route, avoid emergency situations, produce rational optimal path.
2. self-starting calamity according to claim 1 is for the management method of prediction scheme, it is characterized in that: also comprise
Step S9: configure a mobile terminal system by giving flood control person liable, this mobile terminal system realize between person liable and and the contacting of commanding agency, utilize the positioning function of mobile terminal, realize the identification to current transfer personnel positions, and pass through the real-time typing of person liable, realize, to the real-time report of transfer personnel number, in conjunction with explosive area number in prediction scheme, optimizing rescue method further.
3. self-starting calamity according to claim 1 is for the management method of prediction scheme, it is characterized in that: also comprise step S10: by record move redundant labor transfer and goods and materials transferring route, history route data is accumulated, for rescuing optimization and the planning of route in the future.
4. self-starting calamity according to claim 1 is for the management method of prediction scheme, it is characterized in that: described entry condition is whether the rainfall monitoring value of the Real-Time Monitoring rainfall website of specifying exceedes secure threshold or specify the water level monitoring value of Real-Time Monitoring regimen website whether to exceed secure threshold.
5. self-starting calamity according to claim 1 is for the management method of prediction scheme, it is characterized in that: step S1 also comprises collecting of subordinate's regional early warning report log-on message; Entry condition in step S2 is whether the precaution alarm quantity in subordinate region exceedes secure threshold thus determine whether prediction scheme startup pushes.
6. self-starting calamity according to claim 1 is for the management method of prediction scheme, it is characterized in that: described step S3 comprises the following steps:
Step S31: point the visual of key element comprises the following steps: use the point range pel of GIS platform to draw, associated by the positional information of form by each some key element, and by association relevant factor legend, this position is labeled as corresponding key element legend by map; Color value or texture coordinate value are set to each point simultaneously and give and certain refer to implication, this key element is intuitively shown in GIS platform;
Step S32: the visual of line feature comprises the following steps: use the alignment of GIS platform or tape pel to draw, each key element generates the position coordinate of certain oversampling ratio according to actual needs automatically, and connect each position coordinate, and associate Linear element icon;
Step S33: the visual of face key element is calculated by structure network of triangle and network of triangle texture coordinate value;
Step S34: text elements mainly carries out additional notes explanation to visual content, will need the visual key element of supplementary notes and describe textual association, in GIS platform, interlock be shown;
Step S35: third dimension element visual by carrying out three-dimensional modeling to the main building in jurisdiction, main hazard-affected body, important elements, and model is imported in database;
Step S36: multidate information is mainly prediction scheme implementation, dynamic similation process and result, multidate information visual be with the form of animation to show prediction scheme implementation status, rescue team position is moved, evacuating personnel situation, goods and materials allotment progress.
7. self-starting calamity according to claim 1 is for the management method of prediction scheme, it is characterized in that: optimum route analysis described in step S7 is in the path looking for an obstruction degree minimum of specifying two nodes in transportation network, and described obstruction degree is weighed with distance, time, crowding or expense.
8. self-starting calamity, for an inquiry system for prediction scheme, is characterized in that: comprise data collection module, prediction scheme visualization model, prediction scheme startup determination module, prediction scheme startup pushing module, prediction scheme display module, prediction scheme optimization module and corrected parameter access module;
Described data collection module is used for collecting Real-time Monitoring Data, historical disaster data, history reply data and precaution alarm at different levels and starts data, is systems with data basis;
It is visual that described prediction scheme visualization model is used for prediction scheme, and the data provided described data collection module, in conjunction with universalization assembly, are shown by point, line, surface, text, three-dimensional model, multidate information;
Described prediction scheme starts determination module and is used for setting to prediction scheme decision condition and judgement; After the judgement of described prediction scheme startup determination module satisfies condition, described prediction scheme startup pushing module realizes the propelling movement of prediction scheme initiate notification, if prediction scheme pushes unsuccessfully, then again proceed to and start described prediction scheme startup determination module, if prediction scheme pushes successfully, determine launch emergency provision, enter described prediction scheme display module;
Described prediction scheme display module is used for the superposition of prediction scheme information layer, prediction scheme information is carried out visual presentation and draws prediction scheme preset path;
Module comprises path range finder module to the optimization of described prediction scheme, historical data checks module and monitoring information superposition display module, calls by what check module and monitoring information superposition display module to path range finder module, historical data the optimization realized path;
Described corrected parameter access module is used for the typing to emergency situations information, and based on prediction scheme display module, shows emergency situations.
9. self-starting calamity according to claim 8 is for the inquiry system of prediction scheme, it is characterized in that: also comprise mobile terminal; Described mobile terminal is used for goods and materials and the location withdrawing dispatch personnel position, and in real time positioning result is uploaded, backup system decision-making, and by described data collection module, transferring route data are collected, for use in optimization and the planning of rescuing route in the future.
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103700054A (en) * | 2013-12-10 | 2014-04-02 | 中国地质大学武汉 | Sudden-onset geological disaster emergency plan digitization system |
-
2015
- 2015-09-25 CN CN201510618695.4A patent/CN105139325A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103700054A (en) * | 2013-12-10 | 2014-04-02 | 中国地质大学武汉 | Sudden-onset geological disaster emergency plan digitization system |
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