CN108961790A - Bad weather pre-warning management system and method based on four-dimensional outdoor scene traffic simulation - Google Patents

Bad weather pre-warning management system and method based on four-dimensional outdoor scene traffic simulation Download PDF

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Publication number
CN108961790A
CN108961790A CN201810818810.6A CN201810818810A CN108961790A CN 108961790 A CN108961790 A CN 108961790A CN 201810818810 A CN201810818810 A CN 201810818810A CN 108961790 A CN108961790 A CN 108961790A
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vehicle
data
information
dimensional
traffic
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CN108961790B (en
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冯保国
付增辉
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Hebei Deguron Electronic Technology Co Ltd
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Hebei Deguron Electronic Technology Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/091Traffic information broadcasting
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0133Traffic data processing for classifying traffic situation
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/048Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096775Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed circuit television systems, i.e. systems in which the signal is not broadcast

Abstract

The invention proposes a kind of bad weather pre-warning management systems based on four-dimensional outdoor scene traffic simulation;Its system includes more element omnidirectional tracking detection radar sensors, data collection and analysis processor, cloud processing server and four-dimensional simulation management work station capital equipment;Traffic and its location information is obtained on radar tracking road, and synchronous triggering license plate candid camera is to vehicle real-time grasp shoot, the node Weather information of system acquisition current road segment, the traffic environment four-dimension is carried out to emulate and start early warning rule, location information by obtaining traffic judge traffic i.e. by the section of approach, using point-to-point or send warning information to will be by way of the traffic in section progress alarm prompt by the way of broadcasting.It is simulated according to four-dimensional outdoor scene traffic simulation, formulates emergency preplan, road control, accident vehicle pedestrian rescue use for road management person, pushed information is kept away row planning path, reduced under bad weather, the risk of high speed trip.

Description

Bad weather pre-warning management system and method based on four-dimensional outdoor scene traffic simulation
Technical field
The present invention relates to traffic tracking and positioning technology, license plates to capture technology, traffic three-dimensional simulation technique, road Video Supervision Technique, road environment monitoring technology, virtual camera are laid monitoring technology, traffic condition emulation technology, network and are led to Letter technology, bus or train route coordination technique, meteorological emulation technology, environmental simulation technology, computer graphics techniques, Video Rendering technology, three Tie up high-precision GIS map technology, virtual reality integration technology and bus or train route coordination technique, airmanship, early warning technology, self study skill Art field, in particular to a kind of four-dimensional outdoor scene traffic based on radar tracking positioning perceive early warning monitoring management system.
Background technique
With the increasing of China's highway mileage open to traffic increased rapidly with vehicle flowrate, Freeway Transport is passed through in its people The status of Ji is higher and higher.Under existing bad weather, driver is that can not understand to see by all kinds of environmental disturbances and light interference Arrive information of road surface.And high speed traveling speed, fast speed, driver can only, the weather of visual current environment can not be pre- in advance Know, i.e., by the weather of the destination of approach, and Changes in weather is fast, east sunrise west rain often occurs or localized weather is disliked It is bad, and the situation that other close region weather are gentle, if front section is bad weather, such as front section occur dense fog, When the weather such as hail, heavy rain, heavy snow;And current driving road segment can just bypass bad weather section, but existing traffic Source of early warning does not have the function that push closes on section weather, and driver cannot recognize the day i.e. by the section of approach in time Vaporous condition, thereby increases the risk of driving, and driver cannot carry out in time preferred road by the weather conditions recognized in time Diameter conversion when causing to block high speed due to weather, causes traffic to count to pressure increase.
Summary of the invention
The purpose of the present invention aims to solve at least one of the technological deficiency.
To achieve the goals above, the embodiment of one aspect of the present invention provides a kind of evil based on four-dimensional outdoor scene traffic simulation Bad weather warning management system, including the detection of vehicle snapshot video camera, data collection and analysis processor, more element omnidirectional trackings The capital equipments such as radar, cloud processing server, four-dimensional outdoor scene traffic simulation monitoring management station;More element omnidirectional tracking inspections Radar sensor device is surveyed in such a way that 360 ° omni-directional scans, the vehicles or pedestrians of movements all in radar volume are carried out Real-time tracking positions and obtains the real time position of each target and the primary data information (pdi) of radar;Omnidirectional tracking detects radar Sensor be this programme leading portion core data acquisition core component, the radar use by dominant frequency for 77GHz high-frequency emission unit, Signal receiving unit, data processing unit and communication unit etc. group, core data processing unit use at multithreading high speed Reason device tracking and positioning can be no less than 1000 target objects simultaneously.The radar detector can using 360 ° of high speed scanning modes To tracking and positioning, target following when being no less than 1000 target objects progress centered on radar, in 500 meters of entire areas of radius For positioning accuracy error less than 17.5 centimetres, radar detection target movement speed range is 0-250Km/h, per second with tracked target The data interaction that clock is 800 times fully meets the positioning requirements that vehicle realizes full speed intelligent driving, and furthermore the radar can also provide The important letter such as the instantaneous velocity of each vehicle, the direction of motion, longitude and latitude, target size, ID number, deflection in one kilometer Breath.More essential sensors of more element omnidirectional tracking detection radar sensor itself institute bands and comprehensive other sensors acquisition Meteorological data and integrated gas data include: wind speed, wind direction, rainfall, air pressure, temperature, humidity, illumination, light intensity, titanium dioxide Sulphur, carbon dioxide, carbon monoxide, methane, volatile matter;The radar sensor uses integrated design, to guarantee that radar uses the longevity Life equipment integrally uses IP67 class of safety protection.Low power dissipation design and device are all selected and used to all components of radar.Thunder Up to using 100M network interface and external progress data communication.
The license plate candid camera mainly obtains and capture traveling to be believed in road vehicle license board information and picture Breath, then by graphics analysis techniques, to obtain the characteristic information of each vehicle travelled on road, the license plate candid camera Trigger signal by more element omnidirectional trackings detection radar sensor synchronous touching is realized by data collection and analysis processor Hair is captured, and data collection and analysis processor obtains radar triggering license plate candid camera simultaneously and captures the radar of the vehicle at that time The vehicle photographic intelligence that data information (tracking and positioning information) is grabbed with license plate candid camera is counted with vehicle license information Be transferred to the cloud processing server according to summarizing and being packaged, the cloud processing server to the data carry out analytical analysis processing and Data convert;
The data collection and analysis processor is sent for obtaining more element omnidirectional tracking detection radar sensors The original radar scanning data to come over carry out interference filtering to initial data later, formation tracks, summarizes, analyzes and judges Each vehicle or the real-time tracking location information of pedestrian are provided, then is sent to cloud processing server herein by transmitting communication equipment Data are handled, what more element omnidirectional trackings detection radar sensor data of N number of region overlapping were installed by trackside Data collection and analysis processor or the cloud processing server carry out data transmitting, and tracked vehicles or pedestrians pass through this side Formula realizes all-the-way tracking continual tracking and positioning in real time, until tracked vehicles or pedestrians leave the institute of N number of continuous radar Until the detection zone of covering, wherein same vehicle is detected in more element omnidirectional trackings by being overlapped by N number of detection zone On the road of radar sensor when driving, system can be the unique identification information of the vehicle allocation, the vehicle of all travelings on road Unique identification code can be all assigned to keep vehicle information in four-dimensional outdoor scene traffic perception early warning monitoring management system Uniqueness and sustainability, data collection and analysis processor will also complete content:
1) to radar setting detection zone, detection lane
2) it transfers mathematical operation model and obtains the real-time movement velocity of every target object, direction, distance, target angle, rail The important informations such as mark, running time, region
3) it obtains data information and is sent to pre-set alarm decision rule model and type of alarm decision rule mould It is verified in type, the target for filtering out compound condition carries out calibration output alarm.
4) the camera supervised video camera of start-up trace checks target object progress real-time tracking
5) it obtains tracking camera video image and is sent to monitoring center for the video recording use of administrative staff's real time inspection
6) Various types of data for obtaining local more essential sensor acquisitions, analyzes alarm model by data and is analyzed in real time Judgement, when meeting in preset judgment mechanism
7) detecting event type include: vehicle lay-off, traffic accident, vehicle congestion, vehicle queue, vehicle drive in the wrong direction, vehicle It goes slowly, shed object, pedestrian, lane change violating the regulations and the illegal invasion of specific region, anomalous weather etc. critical event
The cloud processing server acquisition front end data acquisition analysis processor secondary treatment transmits current Node Weather information, integrated gas data information, vehicle image characteristic information, the Radar for vehicle data information in section, are handed over Logical state, the road conditions environment four-dimension emulate and start early warning rule, and the location information by obtaining traffic judges traffic I.e. by the section of approach, sent warning information to will be by way of the vehicle row in the section by the way of point-to-point or broadcast People carries out alarm prompt.It is simulated according to four-dimensional outdoor scene traffic simulation, formulates emergency preplan, road control, thing for road management person Therefore traffic rescue uses, pushed information keeps away row planning path, reduces under bad weather, the risk of high speed trip
The data that the four-dimension outdoor scene management work station is sent according to the cloud processing server are called and generate three-dimensional height Essence emulation GIS map, it is bottom that the high-precision emulation GIS map of the three-dimensional, which is based on 3DGIS graphics rendering engine, is passing through unmanned plane Shooting, laser scanning obtain road data and merge in conjunction with corresponding three-dimensional artificial software,
The cloud processing server is mainly communicated with the data collection and analysis processor in front, and data acquisition point is obtained Data information, warning message, the video information etc. that analysis processor is sent, and control is issued to data collection and analysis processor Instruction, parameter setting instruction, linkage instruction etc., all data in system are deposited in cloud processing server log-on data library Storage, and work in human-computer interaction and carry out data communication, return warning message and receive and complete to send under work station all Information and control instruction, all data collection and analysis processor configuration informations in completion system build system architecture, establish net The important process such as network data link, Local or Remote are safeguarded, data are checked, screened, exporting.Handle all potential or possible shape At the key message of accident, start corresponding decision rule and be pocessed, carries out information exchange with monitoring data server, it can be to Preventing road monitoring system or third party provide SDK secondary development bag or API data interface, realize and (control containing video with monitoring system Platform) linkage, audible alarm etc..Equipment mainly completes following work: data exchange, store function, system communication, maintenance, Concentrated alarm, scheme forming, linkage scheme execute, load GIS electronic map, figure accelerating engine, traffic abnormal accident Event detection and alarm, image storage, data storage, alert event video recording are filed for reference, report production, link instruction hair with third party It send, device systems parameter setting, send presupposed solution, regular job man-machine interface centralized alarm.
Wherein, the vehicle photo of crawl and vehicle license information are sent to data acquisition by the license plate candid camera The vehicle characteristic information that collection analysis processor carries out pattern analysis to obtain, which is sent in the cloud processing server, carries out figure Conformal analysis and data analysis, have in the database of the cloud processing server various threedimensional models identical with actual vehicle and Corresponding vehicular characteristics data information, server obtain the vehicle photo for each vehicle that license plate candid camera is brought With after vehicle characteristic information in local data base three-dimensional vehicle model data carry out in pairs than and match, will be with data one It causes or close three-dimensional vehicle model extraction comes out.Secondly, more element omnidirectional trackings detection radar sensor is again by the vehicle The vehicle tracking location data information that obtains of real time radar done with the threedimensional model of the vehicle and further merge matching, and simultaneously The three-dimensional vehicle model is shown in three-dimensional high-definition emulation GIS map, is rendered and is accelerated by compensation data technology combination figure Can be obtained by after engine processing with outside the direction of motion on real road, movement velocity, real time position, vehicle color, vehicle The identical three-dimensional vehicle emulation animation of shape by the motion profile of each vehicle in monitoring three-dimensional artificial animation, transports logical state It can realize and one-to-one monitoring is carried out to actual motion vehicle on road, then more element omnidirectional trackings are detected into radar More element weather data information, air quality data, photometric data and the clock information of sensor acquisition, are sent in this system Carrying out comprehensive environmental simulation simulation can more life-like vehicle and institute to traffic, traffic behavior and traveling Comprehensive emulation is carried out in environment, and can be shown with the four-dimensional graphic picture of high quality using manager.
The cloud processing server receives and stores the vehicle characteristic information after all matchings, vehicle tracking location information After third party's data of meteorological data information, integrated gas data information and acquisition;Utilize four-dimensional real scene simulation module root Characteristic information is carried out with all three-dimensional vehicle models prestored according to vehicle characteristic information and vehicle tracking location information is received Match, extracts the three-dimensional vehicle model as driving vehicle on real road, and the reality that the radar scanning of each automobile is arrived When tracking and positioning information, three-dimensional vehicle model and cloud processing server in the three-dimensional high-precision GIS map that prestores carry out most evidences Fusion emulation, formed four-dimensional real scene simulation show, check, monitoring scheme, by vehicle weather environment in four-dimensional real scene simulation Monitoring, to the real-time detection of weather environment where the vehicle that is travelled on real road;Cloud processing server is according to receiving Warning message using the Weather information early warning rule of preset current road segment, will drive into the weather warning rule and not in section The weather warning rule for carrying out multiple periods, carries out big data comprehensive analysis according to artificial intelligence learning method, generates early warning processing Prediction scheme, and early warning prediction scheme is sent to four-dimensional simulative surveillance management station;
The four-dimension simulative surveillance management station receives the three-dimensional vehicle that cloud processing server is sent and emulates fused data and four Emulation animation is carried out under dimension emulation driving path and weather environment to show;Alert event progress alert event is deposited based on the received It looks into, generate alert event report.
Preferably, more element omnidirectional trackings detect more essential sensors of radar sensor itself institute bands and integrate it The meteorological data and integrated gas data of his sensor acquisition include: wind speed, wind direction, rainfall, air pressure, temperature, humidity, illumination, Light intensity, sulfur dioxide, carbon dioxide, carbon monoxide, methane, volatile matter;The information of vehicles includes: vehicle license information, vehicle Size, body color, vehicle model, vehicle, vehicle system, logo;The radar scanning data include: instantaneous velocity, movement side To, longitude and latitude, ID number and deflection, XYZ three-dimensional coordinate.
It preferably, further include that the section that will drive into vehicle of cloud processing server prejudges, according to vehicle driving side Whether section is that cross street and high speed line feed section carry out the first priority anticipation forwards;According to vehicle heading The average daily vehicle flowrate in front section carries out the second priority anticipation.
Preferably, the cloud processing server function further includes path planning, four-dimensional real scene simulation, road condition road conditions ring Border analogue simulation, early warning output and tripartite's alarm prompt equipment include: auto navigation, Mobile Telephone Gps, bus or train route cooperative device, road Road advices plate, fog-zone induction etc. carry out data communication.The historical data or present traffic state data, road conditions obtained by system Status data and other data carry out four-dimensional outdoor scene traffic weather road conditions analogue simulation in such a way that numerical value is incremented by, according to mould Result after quasi- emulation judges whether that the section will appear bad weather;When being judged as bad weather according to system and issue alarm When prompt, system enables path planning functional module or enables manual path's planning function module, carries out Safe path planning, adopts It takes traffic control and assists warning information by the bus or train route that third party (movement, connection, telecommunications, Gao De, Baidu) or trackside are installed Same equipment, road conditions information panel device etc. use point-to-point mode or the mode of broadcast by warning information, traffic information, traffic shape The department that state information, safety instruction information, control traffic message, fault car evacuation information etc. push in the section or region multiplies Personnel carry out security alarm prompt.
Preferably, there is the vehicle three-dimensional vehicle of the various series of all brand vehicles in the cloud processing server database Model and the corresponding data information of threedimensional model include: vehicle characteristic information, body color information, vehicle vehicle model information, Appearance information, vehicle dimension information and the logo brand message of vehicle, cloud processing server are shot according to vehicle snapshot video camera Vehicle photo carry out image procossing, according to license plate candid camera obtain vehicle pictures vehicle is obtained after pattern analysis Characteristic information, body color information, vehicle vehicle model information, the appearance information of vehicle, vehicle dimension information and logo brand message; The three-dimensional vehicle model being most consistent with captured vehicle photo is being transferred by information matches technology, is being shown in cloud processing service In the high-precision GIS map of three-dimensional obtained in advance in device, data collection and analysis processor is obtained further according to cloud processing server and is sent The radar tracking data of each vehicle of the radar scanning to come over, will be to the radar vehicle real-time tracking data and display in three-dimensional Corresponding three-dimensional vehicle model is merged in high-precision GIS map, using inertia vehicle compensation data technology graphics process Technology enables graphics rendering engine and carries out figure acceleration processing;Cloud service processor is obtained into front end data acquisition analysis processing again More element environmental datas that device sends over include: data of the Temperature and Humidity module, integrated gas (sulfur dioxide, carbon dioxide, an oxidation Carbon, methane, volatile matter) data, brightness light intensity data, rainfall data, wind speed and direction data, it is superimposed simultaneously transfer environment emulation, road Condition emulation, traffic simulation enable corresponding so as to form the bad weather pre-warning management system based on four-dimensional outdoor scene traffic simulation Early-warning conditions judgment module, alarm is externally issued when meeting and realizes multi-faceted linkage processing, in four-dimensional simulative surveillance management Human-computer interaction and real-time display are carried out on work station.
The present invention also provides a kind of bad weather friendships based on four-dimensional real scene simulation road conditions perception early warning monitoring management system Logical method for early warning, for bad weather traffic prewarning system described above, comprising the following steps:
Step S1 obtains each of current running on expressway using more element omnidirectional trackings detection radar sensor The radar scanning tracking and positioning data of vehicle, more element omnidirectional trackings detection radar sensors are real-time according to predeterminated frequency simultaneously The section meteorological data and comprehensive destiny evidence obtained, the synchronous triggering license plate candid camera of radar obtain the figure for being tracked vehicle As information, and by the Radar for vehicle scan tracing data, vehicle image data, the meteorological data and integrated gas of the section node Data are separately sent to carry out data preliminary treatment in data collection and analysis processor;
Step S2 after the data collection and analysis processor is according to the vehicle image data received, starts image recognition Technology extracts vehicle characteristic information, extracts vehicle tracking location information according to the radar scanning data received;And it is vehicle is special Reference breath, vehicle tracking location information, meteorological data, integrated gas data are sent to cloud processing server to data again after being packaged Secondary carry out secondary treatment;The data collection and analysis processor is enabled according to the Radar for vehicle scanning initial data being initially received Target object track algorithm, clutter nomography, inertia motion compensation data algorithm, dynamic data backoff algorithm and according to server The parameters such as all kinds of anomalous event accident vehicle Rule of judgment that send over, detection zone, detection lane to it is original screened, Filter analysis simultaneously ultimately forms valid data, and includes vehicle, pedestrian's distribution target radar tracking and positioning for each tracking target Identification information.Data collection and analysis processor obtains the license plate candid camera crawl that synchronous triggering is mounted on above lane simultaneously Vehicle image information, and trigger the radar vehicle tracking and positioning information of the license plate candid camera (information pass through data Pulse triggering signal triggering license plate candid camera is formed after shaping to be captured), to guarantee the data that server receives For the image information and radar tracking location data information of the synchronization of the vehicle.
Step S3, the cloud processing server receive and store vehicle characteristic information, vehicle tracking after all matchings Location information and meteorologic parameter;Using three-dimensional artificial module according to receive vehicle characteristic information and vehicle tracking location information with All three-dimensional vehicle models prestored carry out characteristic information matching, extract the three-dimensional vehicle as driving vehicle on real road Model, and real-time tracking location information, three-dimensional vehicle model and the cloud processing server that the radar scanning of each automobile is arrived In the three-dimensional high-precision GIS map that prestores carry out multi-data fusion emulation, form four-dimensional real scene simulation and show, check, monitoring side Case, by the monitoring to vehicle weather environment in four-dimensional real scene simulation, to weather environment where the vehicle travelled on real road Real-time detection;Cloud processing server utilizes the Weather information early warning of preset current road segment according to the warning message received The weather warning rule of rule, the weather warning rule that will drive into section and following multiple periods, learns according to artificial intelligence Method carries out big data comprehensive analysis, generates early warning and handles prediction scheme, and early warning prediction scheme is sent to four-dimensional simulative surveillance management station;
Step S4;Four-dimensional simulative surveillance management station receive the three-dimensional vehicle emulation fused data that cloud processing server is sent and Four-dimension emulation driving path carries out emulation animation under weather environment and shows;Alert event progress alert event is deposited based on the received It looks into, generate alert event report.
Preferably, in step sl, the bad weather pre-warning management system based on four-dimensional outdoor scene traffic simulation, feature exist In in step sl, the radar real time data of the vehicle includes: the tracking and positioning information of vehicle, instantaneous velocity information, movement Directional information, latitude and longitude information, target size information, ID number information, type information, direction of motion angle, XYZ three-dimensional coordinate etc. Important information;The characteristic of the vehicle includes: color, vehicle system, appearance, vehicle, brand, model, age, vehicle license letter Breath etc.;More element environmental datas include: data of the Temperature and Humidity module, integrated gas (sulfur dioxide, carbon dioxide, carbon monoxide, first Alkane, volatile matter) data, brightness light intensity data, rainfall data, wind speed and direction data.
It preferably, in step s3, further include that the section that will drive into vehicle of cloud processing server prejudges, according to Whether section is that cross street and high speed line feed section carry out the first priority anticipation in front of vehicle heading;According to vehicle The average daily vehicle flowrate in the front section of driving direction carries out the second priority anticipation.
Preferably, further include step S4, the cloud processing server function further include path planning, four-dimensional real scene simulation, The simulation of road condition road conditions environmental simulation, early warning output and tripartite's alarm prompt equipment include: auto navigation, Mobile Telephone Gps, vehicle Road cooperative device, road informations plate, fog-zone induction etc. carry out data communication.The historical data or present traffic obtained by system It is imitative that status data, road condition data and other data carry out four-dimensional outdoor scene traffic weather road conditions in such a way that numerical value is incremented by True simulation, judges whether that the section will appear bad weather according to the result after analog simulation;When being judged as severe according to system Weather and when issuing alarm prompt, system enables path planning functional module or enables manual path's planning function module, carries out Safe path planning takes traffic control and warning information is passed through third party (movement, connection, telecommunications, Gao De, Baidu) or road The bus or train route cooperative device of side installation, road conditions information panel device etc. using point-to-point mode or the mode of broadcast by warning information, Traffic information, traffic state information, safety instruction information, control traffic message, fault car evacuation information etc. push to the road Driver and conductor in section or region carries out security alarm prompt.
Preferably, in step s 2, there are all various series of brand vehicle in the cloud processing server database Vehicle three-dimensional vehicle model and the corresponding data information of threedimensional model include: vehicle characteristic information, body color information, vehicle Vehicle model information, the appearance information of vehicle, vehicle dimension information and logo brand message, cloud processing server is according to vehicle snapshot The vehicle photo of video camera shooting carries out image procossing, passes through pattern analysis according to the vehicle pictures that license plate candid camera obtains Vehicle characteristic information, body color information, vehicle vehicle model information, the appearance information of vehicle, vehicle dimension information and vehicle are obtained afterwards Mark brand message;The three-dimensional vehicle model being most consistent with captured vehicle photo is being transferred by information matches technology, is being shown In the high-precision GIS map of three-dimensional obtained in advance in cloud processing server, data acquisition point is obtained further according to cloud processing server The radar tracking data of each vehicle for the radar scanning that analysis processor sends over, will give the radar vehicle real-time tracking data It is merged with corresponding three-dimensional vehicle model in three-dimensional high-precision GIS map is shown in, using inertia vehicle compensation data Technology graph processing technique enables graphics rendering engine and carries out figure acceleration processing;Cloud service processor is obtained into front end data again More element environmental datas that collection analysis processor sends over include: data of the Temperature and Humidity module, integrated gas (sulfur dioxide, dioxy Change carbon, carbon monoxide, methane, volatile matter) data, brightness light intensity data, rainfall data, wind speed and direction data, it is superimposed and calls Environmental simulation, road conditions emulation, traffic simulation, so as to form the bad weather forewarning management system based on four-dimensional outdoor scene traffic simulation System, enables corresponding early-warning conditions judgment module, and alarm is externally issued when meeting and realizes multi-faceted linkage processing, with imitative in the four-dimension Human-computer interaction and real-time display are carried out on true monitoring management work station.
A kind of bad weather pre-warning management system based on four-dimensional outdoor scene traffic simulation provided according to embodiments of the present invention, Compared to existing high-speed detection device, have at least the following advantages:
1, it is detected in the comprehensive radar sensor of more elements by the more element omnidirectional trackings to gather in roadside More collected a large amount of weather parameters of essential sensor combine the meteorological data by obtaining in internet, realize each ID number Driving vehicle goes out actual traffic condition in the more true analog simulation of current road segment.
2, it is pre- by way of section to carry out vehicle according to the present speed parameter and current location parameter of extraction for weather warning module Sentence, according to the vehicle of anticipation by way of section, transfers joining by way of the section meteorology that currently more element meteorological sensors upload for anticipation Number, and the vehicle of anticipation is pushed one by one by way of road by way of the sequence from the near to the remote in section according to the vehicle of vehicle distances anticipation Section Weather information;It realizes and front section weather is monitored in advance, be conducive to driver and select suitable section in time, evade Bad weather section.
3, it when four-dimensional simulative surveillance management station judges the section according to weather parameters for bad weather section, further mentions The parameters such as spacing of the speed parameter and Adjacent vehicles picked up the car when spacing is too small, is judged as and works as the day before yesterday when car speed is too low Vaporous condition is not suitable for running at high speed, and for path planning module according to front section weather parameters, generation keeps away row planning path, and pushes To driver and conductor;It realizes and carries out vehicle dispersal in advance, be conducive to alleviate traffic pressure caused by expressway is closed.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures Obviously and it is readily appreciated that, in which:
Fig. 1 is the company of the bad weather pre-warning management system provided in an embodiment of the present invention based on four-dimensional outdoor scene traffic simulation Binding composition;
Fig. 2 is the side of the bad weather pre-warning management system provided in an embodiment of the present invention based on four-dimensional outdoor scene traffic simulation Method flow chart;
It is in Fig. 3 bad weather pre-warning management system provided in an embodiment of the present invention based on four-dimensional outdoor scene traffic simulation to want more Plain meteorological sensor structural schematic diagram;
Front end in Fig. 4 bad weather pre-warning management system provided in an embodiment of the present invention based on four-dimensional outdoor scene traffic simulation Devices collect data merges the flow diagram that four-dimensional outdoor scene traffic simulation is sent to early warning and alarming information to centre data;
At Fig. 5 bad weather pre-warning management system medium cloud provided in an embodiment of the present invention based on four-dimensional outdoor scene traffic simulation Manage server artificial intelligence learning process transition diagram;
It is severe in Fig. 6 bad weather pre-warning management system provided in an embodiment of the present invention based on four-dimensional outdoor scene traffic simulation Path planning schematic diagram in weather warning;
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
As shown in Figure 1, the bad weather forewarning management system provided in an embodiment of the present invention based on four-dimensional outdoor scene traffic simulation System, including more element omnidirectional trackings detect radar sensor, vehicle snapshot video camera, data collection and analysis processor, Yun Chu It manages server and four-dimensional simulative surveillance management station and other ancillary equipments and information receives transmission, display equipment;
More element omnidirectional tracking detection radar sensors obtain the radar of each vehicle of current running on expressway Scan tracing location data, the road that more element omnidirectional tracking detection radar sensors are obtained according to predeterminated frequency in real time simultaneously Section meteorological data and comprehensive destiny evidence, the synchronous triggering license plate candid camera of radar obtain the image information for being tracked vehicle, and The Radar for vehicle scan tracing data, vehicle image data, the meteorological data of the section node and integrated gas data are distinguished It is sent to progress data preliminary treatment in data collection and analysis processor
As shown in figure 4, the more essential sensors and integrated gas of more element omnidirectional tracking detection radar sensors itself Sensor is used to obtain the meteorological number that multiple nodes lay highway around more element omnidirectional tracking detection radar sensors According to integrated gas data, and according to the section meteorologic parameter that predeterminated frequency will acquire be sent to data collection and analysis processing Device;
Wherein as shown in Figure 1, more element omnidirectional trackings detection radar sensor itself institute band more essential sensors with And the meteorological data and integrated gas data of comprehensive other sensors acquisition include: wind speed, it is wind direction, rainfall, air pressure, temperature, wet Degree, illumination, light intensity, sulfur dioxide, carbon dioxide, carbon monoxide, methane, volatile matter;The information of vehicles includes: vehicle license Information, vehicle dimension, body color, vehicle model, vehicle, vehicle system, logo;The radar scanning data include: instantaneous velocity, The direction of motion, longitude and latitude, ID number and deflection, XYZ three-dimensional coordinate.
Data collection and analysis processor simultaneously received vehicle image, radar scanning data and all sections of real-time reception Meteorologic parameter, extracts vehicle characteristic information according to vehicle image, extracts vehicle tracking location information according to radar scanning data;And Vehicle characteristic information, vehicle tracking location information and meteorologic parameter are sent to cloud processing server;The data collection and analysis Processor is according to the ID number that the Radar for vehicle scan data being initially received is that each car distributes unique identification;Extract ID volume The radar scanning data of number vehicle obtain vehicle tracking location information, and extract vehicle characteristics letter according to the vehicle image of receiving Breath, the vehicle tracking location information which numbers is matched with vehicle characteristic information;By the vehicle characteristic information after matching Cloud processing server is sent to vehicle tracking location information;The data collection and analysis processor is obtained in cloud processing server The weather warning rule of middle setting, the data collection and analysis processor are positioned according to weather warning rule according to vehicle tracking Information extraction vehicle current driving speed and current location information carry out the Weather information early warning of current road segment, will drive into road The weather warning of the weather warning of section and following multiple periods, and warning information is sent to cloud processing server.
The comprehensive radar of more elements is detected by the more element omnidirectional trackings to gather in roadside as shown in Figure 4 to sense The collected a large amount of climate change data of more essential sensors in device or the meteorological data by being obtained in internet, sunshine The variation (such as: 24 hours time changes, seasonal variations etc.) of (brightness light intensity) data etc. and binding time node, these are counted According to being sent in cloud processing server, so that it may allow the more true analog simulation of system to go out actual traffic condition, and can Influence significance level of the future weather conditions to traffic is emulated to continue to deduce according to existing traffic environment, can more be allowed most Whole user user can make travel plan thorough in further detail.
It should be noted that when the weather warning rule prestored in cloud processing server includes real-time weather early warning and is following The weather warning at quarter, wherein when future time instance weather warning, cloud processing server obtain internet on historical data and in real time Meteorological satellite cloud pictures information, shown according to weather nephogram information and combine record historical weather data, automatically generate future 24 hours, 48 hours, even 72 hours weather forecast informations at the time of selecting according to user, carry out weather warning.For example, When automobile bordering on the sea sea area or desert etc. easily there is storm expressway on when driving, need according in meteorological satellite cloud pictures show The speed of the movements such as the center of typhoon or severe dust storm centers that show and direction combine the history of the record moment Weather information, carry out day Gas early warning.
On the one hand real-time weather early warning includes meteorologic parameter of the cloud processing server according to the current road segment received in real time, Real-time weather push is carried out to vehicle of the traveling on the section, realizes the real-time weather early warning of current road segment;On the other hand The meteorologic parameter in the section that the vehicle that receives will drive into when including cloud processing service rooting factually, to the road will be driven into The vehicle of section provides the weather information in the section in real time, in the process, the section that cloud processing server vehicle will be driven into It is prejudged.
In one embodiment of the invention, when cloud processing server carries out vehicle by way of section anticipation, according to vehicle row Whether sail direction front section is that cross street and high speed line feed section carry out the first priority anticipation;According to vehicle driving side To the average daily vehicle flowrate in front section carry out the second priority anticipation.
In the present embodiment, vehicle fastlink when driving, according to the travel speed of vehicle, if the traveling speed of vehicle When degree maintains 100km/h, four-dimensional simulative surveillance management station obtains the weather conditions in the section at the 20KM of front and transmission in real time To driver, if existing for cross street and high speed line feed section within the 20KM of front at vehicle 10KM, then preferentially pushing away The weather conditions for sending cross street and high speed to enter a new line section, and pushed away in advance in high speed line feed section according to historical statistical data Send the weather in the biggish section of vehicle flowrate.By vehicle for G45 extensively runs at high speed greatly, when vehicle is extensively run at high speed greatly in G45 When, it is Bazhou section at the 20KM of front when traveling to hero pacifies section, and it is high for the big wide high speed of G45 and the flourish crow of G18 at the 10KM of front The intersection of speed, the preferential weather conditions for pushing intersection, and according to the intersection information of vehicle flowrate of statistics, further pushed away It send, is analyzed by historical statistical data, the big wide high speed of G45 is gone in the intersection of the big wide high speed of approach G45 and the flourish black high speed of G18 The vehicle flowrate in the section in Beijing direction is much higher than, and the vehicle flowrate in Tianjin direction is gone to by the flourish crow high speed of G18, therefore in push day When gas information, the preferential weather for pushing the wide high speed Beijing direction section greatly G45 has selected until vehicle crosses intersection Running section is selected, then pushes the weather in section at the 20KM of front.
As shown in figure 4, the cloud processing server receive and store the vehicle characteristic information after all matchings, vehicle with Track location information and meteorologic parameter;Using three-dimensional artificial module according to receiving vehicle characteristic information and vehicle tracking location information Characteristic information matching is carried out with all three-dimensional vehicle models prestored, extracts the three-dimensional vehicle as driving vehicle on real road Model, and real-time tracking location information, three-dimensional vehicle model and the cloud processing service that the radar scanning of each automobile is arrived The three-dimensional high-precision GIS map prestored in device carries out multi-data fusion emulation, forms four-dimensional real scene simulation and shows, checks, monitors Scheme, by the monitoring to vehicle weather environment in four-dimensional real scene simulation, to day compression ring where the vehicle travelled on real road The real-time detection in border;For cloud processing server according to the warning message received, the Weather information using preset current road segment is pre- Police regulations then, the weather warning rule in section and the weather warning rule of following multiple periods will be driven into, according to artificial intelligence Learning method carries out big data comprehensive analysis, generates early warning and handles prediction scheme, and early warning prediction scheme is sent to four-dimensional simulative surveillance management It stands;It should be noted that as shown in figure 5, generating alarm plan, cloud processing clothes to meteorologic parameter using artificial intelligence learning method Device of being engaged in obtains real-time weather information and weather history information on internet, carries out implementation simulation according to above- mentioned information, and according to Generate long term policy;Wherein simulation in real time includes the perception to future transportation state, the weather perception of the following meteorological disaster;Pass through The traffic behavior and meteorological disaster degree of acquisition generate traffic and dredge prediction scheme, wherein traffic dispersion prediction scheme, anti-including traffic behavior The optimization of model and traffic route.Preferably, cloud processing server is by the radar scanning data of the information of vehicles of each car and the vehicle It when being matched, is preset in cloud processing server under all brand vehicles, the auto model of each series vehicle, cloud processing service Device carries out image procossing according to the vehicle photo that vehicle snapshot video camera is shot, according to the vehicle feature in shooting photo, vehicle body Color, vehicle dimension and logo brand;The auto model being most consistent with captured vehicle photo is transferred, according to the radar of acquisition The weather parameters of scan data and vehicle current road segment generates the real-time road simulated driving animation of auto model, to four Dimension simulative surveillance management station shows.
Preferably, section weather parameters that cloud processing server obtains in real time judges whether that severe day occurs in the section Gas;When being judged as bad weather according to weather parameters, vehicle that the cloud processing server numbers each ID received Radar scanning data, extraction rate parameter, when the speed parameter of all vehicle drivings be lower than 60km/h when, be judged as and work as the day before yesterday Vaporous condition is not suitable for running at high speed, and path planning module is according to front section weather parameters, and generation keeps away row planning path, by data Collection analysis processor, pushes to driver and conductor.
The four-dimension simulative surveillance management station receives the three-dimensional vehicle that cloud processing server is sent and emulates fused data and four Dimension emulation driving path carries out emulation animation and shows;Alert event progress alert event files for reference, generates alarm thing based on the received Part report.
As shown in figure 5, in another embodiment of the present invention, joining when cloud processing server passes through the weather acquired in real time Number and the parameter obtained from internet, when analysis show that the bad weathers such as dense fog, heavy rain, heavy snow occurs in front section, the four-dimension is imitative While true monitoring management station pushes Weather information in time, according to the synchronous vehicle driving location information obtained, vehicle is planned Keep away walking along the street diameter;Wherein, keeping away walking along the street diameter includes pushing the vehicle in time according to vehicle location to descend the charge station of high speed, and from mutual Networking obtains the charge station apart from nearest national highway, the road congestion conditions of provincial highway in time, generates most preferred line feed path;It mentions The driver that wakes up is entered a new line by national highway or provincial highway, is avoided blocking due to high speed, is caused vehicle in high speed crossing or service area It is detained.
It is very ignorant, master for monitoring management person in sleet sky, dust and sand weather, haze weather, driving at night If common monitor camera, by blinding, can not continue to play the effect for monitoring and controlling in the case where this condition , it is even more impossible to realize the induction work to vehicle.Although existing highway is mounted with vehicle guidance system, but be all by Flowing mode accomplishes vehicle guidance in no real meaning, only plays vehicle driving warning function.There are also many for itself Leftover problem does not solve, for example, can not judge vehicle whether occur traffic accident, can not judge road whether occur congestion or The appearance of other abnormal conditions.But detections of radar equipment itself is not influenced by so weather and light, is passing through three-dimensional GIS map and four-dimensional analogue system all merge, and can come out the video camera " buried " on road to reproduction completely, give traffic Manager realizes that active real-time guidance and anomalous event accident are quickly handled and quick search provides very big help, crosses thunder same Communication port or bus or train route communication for coordination equipment up to itself can be by actual traffic traffic information and vehicle position informations on road It is sent to the inducible system and Mobile Telephone Gps or auto-navigation system that trackside is installed, can effectively and perfectly realize real meaning Wisdom traffic management system in justice.
When meeting special circumstances and needing temporary enclosed road or enforce traffic control, for road pressure less as far as possible Power and the loss for reducing unnecessary Unpredictability.It can be formulated by way of traffic is current and road conditions emulate in advance More detailed and exact traffic control and dredging scheme.This system can use really and accurately historical data and combine existing Have a traffic condition, carry out the real-time control emulation of road and closing lane influences traffic condition emulation, the emulation basic principle be with The more element omnidirectional trackings detection radar sensor for being mounted on both sides of the road is adopted with license plate candid camera and other data Collection equipment sends back the real time data information come and historical information carries out Macro or mass analysis, starts artificial intelligence by small-sized Cloud Server It studies module and three-dimensional artificial module in depth and automatic scheme forming module is assessed current in real time and predicts the following road network in short-term Road state after trip requirements and traffic control is passing through path allocation algorithm, and trip requirements are distributed to emulation road network, Simulation and reproduction road grid traffic operating status, provide corresponding countermeasure and scheme.
As shown in Fig. 2, the present invention provides a kind of evil based on four-dimensional real scene simulation road conditions perception early warning monitoring management system Bad weather traffic prewarning method is applied to above-mentioned bad weather traffic prewarning system, comprising the following steps:
Step S1, it is every using being travelled on the current corresponding fastlink of more element omnidirectional trackings detection radar acquisition simultaneously The radar scanning data of the vehicle image of one vehicle and current each vehicle, more element weather sensors are real-time according to predeterminated frequency The section meteorologic parameter obtained, and vehicle image, radar scanning data and weather parameters are sent at data collection and analysis Manage device.
Preferably, in step sl, the meteorologic parameter of more element meteorological sensor acquisitions includes wind speed, wind direction, liquid drop Water, atmospheric pressure, temperature and relative humidity;Information of vehicles includes license number, vehicle dimension, body color, vehicle model and vehicle Mark;Radar scanning data include travel speed, the direction of motion, longitude and latitude, ID number and deflection.
Step S2, data collection and analysis processor while received vehicle image, radar scanning data and real-time reception institute There is the meteorologic parameter in section, vehicle characteristic information is extracted according to vehicle image, it is fixed to extract vehicle tracking according to radar scanning data Position information;And vehicle characteristic information, vehicle tracking location information and meteorologic parameter are sent to cloud processing server;The data Collection analysis processor is according to the ID number that the Radar for vehicle scan data being initially received is that each car distributes unique identification;It mentions It takes the radar scanning data of the ID number vehicle to obtain vehicle tracking location information, and vehicle is extracted according to the vehicle image of receiving Characteristic information matches the vehicle tracking location information that the ID is numbered with vehicle characteristic information;Vehicle after matching is special Reference breath and vehicle tracking location information are sent to cloud processing server;The data collection and analysis processor is obtained in cloud processing Set in server weather warning rule, the data collection and analysis processor according to weather warning rule, according to vehicle with Track location information extracts vehicle current driving speed and current location information, carry out current road segment Weather information early warning, will The weather warning and the weather warning of following multiple periods in section are driven into, and warning information is sent to cloud processing server.
Step S3, the cloud processing server receive and store vehicle characteristic information, vehicle tracking after all matchings Location information and meteorologic parameter;Using three-dimensional artificial module according to receive vehicle characteristic information and vehicle tracking location information with All three-dimensional vehicle models prestored carry out characteristic information matching, extract the three-dimensional vehicle as driving vehicle on real road Model, and real-time tracking location information, three-dimensional vehicle model and the cloud processing server that the radar scanning of each automobile is arrived In the three-dimensional high-precision GIS map that prestores carry out multi-data fusion emulation, form four-dimensional real scene simulation and show, check, monitoring side Case, by the monitoring to vehicle weather environment in four-dimensional real scene simulation, to weather environment where the vehicle travelled on real road Real-time detection;Cloud processing server utilizes the Weather information early warning of preset current road segment according to the warning message received The weather warning rule of rule, the weather warning rule that will drive into section and following multiple periods, learns according to artificial intelligence Method carries out big data comprehensive analysis, generates early warning and handles prediction scheme, and early warning prediction scheme is sent to four-dimensional simulative surveillance management station.
Step S4;Four-dimensional simulative surveillance management station receive the three-dimensional vehicle emulation fused data that cloud processing server is sent and Four-dimension emulation driving path carries out emulation animation and shows;Alert event progress alert event files for reference, generates alarm based on the received Event report.
In the present embodiment, more comprehensive radars of element are detected by the more element omnidirectional trackings to gather in roadside The collected a large amount of climate change data of more essential sensors in sensor or the meteorological data by being obtained in internet, day According to the variation (such as: 24 hours time changes, seasonal variations etc.) of (brightness light intensity) data etc. and binding time node, by these Data are sent in cloud processing server, so that it may and allow the more true analog simulation of system to go out actual traffic condition, and It can be continued to deduce according to existing traffic environment more allow to emulate influence significance level of the future weather conditions to traffic End user user can make travel plan thorough in further detail.
In step 2, the weather warning rule prestored in cloud processing server includes real-time weather early warning and future time instance Weather warning, wherein when future time instance weather warning, cloud processing server obtain internet on historical data and in real time Meteorological satellite cloud pictures information shows and is combined according to weather nephogram information the historical weather data recorded, automatically generates future 24 The weather forecast information of hour, 48 hours, even 72 hours at the time of selecting according to user, carry out weather warning.For example, working as Automobile is bordering on the sea on the expressway that sea area or desert etc. easily storm occur when driving, needs to show according in meteorological satellite cloud pictures The speed of the movements such as the center of typhoon or severe dust storm centers that show and direction combine the history of the record moment Weather information, carry out day Gas early warning.
On the one hand real-time weather early warning includes meteorologic parameter of the cloud processing server according to the current road segment received in real time, Real-time weather push is carried out to vehicle of the traveling on the section, realizes the real-time weather early warning of current road segment;On the other hand The meteorologic parameter in the section that the vehicle that receives will drive into when including cloud processing service rooting factually, to the road will be driven into The vehicle of section provides the weather information in the section in real time, in the process, the section that cloud processing server vehicle will be driven into It is prejudged.
In one embodiment of the invention, when cloud processing server carries out vehicle by way of section anticipation, according to vehicle row Whether sail direction front section is that cross street and high speed line feed section carry out the first priority anticipation;According to vehicle driving side To the average daily vehicle flowrate in front section carry out the second priority anticipation.
Vehicle fastlink when driving, according to the travel speed of vehicle, if the travel speed of vehicle maintains When 100km/h, cloud processing server obtains the weather conditions in the section at the 20KM of front in real time and is sent to driver, if preceding Within square 20KM at vehicle 10KM, cross street and high speed line feed section are existed for, then preferentially pushes cross street and height The weather conditions of quick change walking along the street section, and it is biggish to be pushed in high speed line feed section according to historical statistical data in advance for vehicle flowrate The weather in section.By vehicle for G45 extensively runs at high speed greatly, when vehicle is when G45 extensively runs at high speed greatly, traveling to the road Xiong An It is Bazhou section at Duan Shi, front 20KM, and is the intersection of the big wide high speed of G45 and the flourish black high speed of G18 at the 10KM of front, preferentially The weather conditions of intersection are pushed, and according to the intersection information of vehicle flowrate of statistics, are further pushed, by historical statistics Data analysis, the intersection of the big wide high speed of approach G45 and the flourish black high speed of G18, goes to the section in wide high speed Beijing direction greatly G45 Vehicle flowrate is much higher than, and the vehicle flowrate in Tianjin direction is gone to by the flourish crow high speed of G18, therefore when pushing Weather information, preferentially pushes away The G45 weather in wide high speed Beijing direction section greatly is sent, until vehicle crosses intersection, running section has been selected, then pushes away Send the weather in section at the 20KM of front.
As shown in figure 4, cloud processing server generates alarm plan to meteorologic parameter using artificial intelligence learning method, at cloud The real-time weather information and weather history information on server acquisition internet are managed, carries out implementation simulation according to above- mentioned information, and According to generation long term policy;Wherein simulation in real time includes the perception to future transportation state, the weather perception of the following meteorological disaster; By the traffic behavior and meteorological disaster degree of acquisition, generates traffic and dredge prediction scheme, wherein traffic dispersion prediction scheme, including traffic behavior Prevention and traffic route optimization.Preferably, cloud processing server is by the radar scanning of the information of vehicles of each car and the vehicle It when data are matched, is preset in cloud processing server under all brand vehicles, the auto model of each series vehicle, cloud processing The vehicle photo that server is shot according to vehicle snapshot video camera carries out image procossing, according in shooting photo vehicle feature, Body color, vehicle dimension and logo brand;The auto model being most consistent with captured vehicle photo is transferred, according to acquisition The weather parameters of radar scanning data and vehicle current road segment generates the real-time road simulated driving animation of auto model, to It is shown in four-dimensional simulative surveillance management station.
It preferably, further include step S5, the section weather parameters that four-dimensional simulative surveillance management station obtains in real time, judgement is There is bad weather in the no section;When being judged as bad weather according to weather parameters, four-dimensional simulative surveillance management station will be received The radar scanning data of the vehicle of each ID number arrived, extraction rate parameter, when the speed parameter of all vehicle drivings is lower than When 60km/h, it is judged as that current weather condition is not suitable for running at high speed, path planning module is raw according to front section weather parameters At keeping away row planning path, and push to driver and conductor.In another embodiment of the present invention, when four-dimensional simulative surveillance management station By the weather parameters acquired in real time and the parameter obtained from internet, analysis show that dense fog, heavy rain, heavy snow occurs in front section When equal bad weathers, while four-dimensional simulative surveillance management station pushes Weather information in time, according to the synchronous vehicle driving obtained Location information, that plans vehicle keeps away walking along the street diameter;Wherein, keep away walking along the street diameter include pushed in time according to vehicle location the vehicle should under The charge station of high speed, and the charge station is obtained in time apart from nearest national highway, the road congestion conditions of provincial highway from internet, it generates Most preferred line feed path;It reminds driver to enter a new line by national highway or provincial highway, avoids blocking due to high speed, lead to vehicle It is detained at high speed crossing or service area.
As shown in fig. 6, in another embodiment of the present invention, joining when cloud processing server passes through the weather acquired in real time Number and the parameter obtained from internet, when analysis show that the bad weathers such as dense fog, heavy rain, heavy snow occurs in front section, the four-dimension is imitative While true monitoring management station pushes Weather information in time, according to the synchronous vehicle driving location information obtained, vehicle is planned Keep away walking along the street diameter;Wherein, keeping away walking along the street diameter includes pushing the vehicle in time according to vehicle location to descend the charge station of high speed, and from mutual Networking obtains the charge station apart from nearest national highway, the road congestion conditions of provincial highway in time, generates most preferred line feed path;It mentions The driver that wakes up is entered a new line by national highway or provincial highway, is avoided blocking due to high speed, is caused vehicle in high speed crossing or service area It is detained.
It is very ignorant, master for monitoring management person in sleet sky, dust and sand weather, haze weather, driving at night If common monitor camera, by blinding, can not continue to play the effect for monitoring and controlling in the case where this condition , it is even more impossible to realize the induction work to vehicle.Although existing highway is mounted with vehicle guidance system, but be all by Flowing mode accomplishes vehicle guidance in no real meaning, only plays vehicle driving warning function.There are also many for itself Leftover problem does not solve, for example, can not judge vehicle whether occur traffic accident, can not judge road whether occur congestion or The appearance of other abnormal conditions.But detections of radar equipment itself is not influenced by so weather and light, is passing through three-dimensional GIS map and four-dimensional analogue system all merge, and can come out the video camera " buried " on road to reproduction completely, give traffic Manager realizes that active real-time guidance and anomalous event accident are quickly handled and quick search provides very big help, crosses thunder same Communication port or bus or train route communication for coordination equipment up to itself can be by actual traffic traffic information and vehicle position informations on road It is sent to the inducible system and Mobile Telephone Gps or auto-navigation system that trackside is installed, can effectively and perfectly realize real meaning Wisdom traffic management system in justice.
When meeting special circumstances and needing temporary enclosed road or enforce traffic control, for road pressure less as far as possible Power and the loss for reducing unnecessary Unpredictability.It can be formulated by way of traffic is current and road conditions emulate in advance More detailed and exact traffic control and dredging scheme.This system can use really and accurately historical data and combine existing Have a traffic condition, carry out the real-time control emulation of road and closing lane influences traffic condition emulation, the emulation basic principle be with The more element omnidirectional trackings detection radar sensor for being mounted on both sides of the road is adopted with license plate candid camera and other data Collection equipment sends back the real time data information come and historical information carries out Macro or mass analysis, starts artificial intelligence by small-sized Cloud Server It studies module and three-dimensional artificial module in depth and automatic scheme forming module is assessed current in real time and predicts the following road network in short-term Road state after trip requirements and traffic control is passing through path allocation algorithm, and trip requirements are distributed to emulation road network, Simulation and reproduction road grid traffic operating status, provide corresponding countermeasure and scheme.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example Property, it is not considered as limiting the invention, those skilled in the art are not departing from the principle of the present invention and objective In the case where can make changes, modifications, alterations, and variations to the above described embodiments within the scope of the invention.The scope of the present invention By appended claims and its equivalent limit.

Claims (10)

1. a kind of bad weather pre-warning management system based on four-dimensional outdoor scene traffic simulation, which is characterized in that complete including more elements Orientation tracing detection radar sensor, data collection and analysis processor, cloud processing server and four-dimensional simulation management work station owner Want equipment;
More element omnidirectional tracking detection radar sensor devices are in such a way that 360 ° omni-directional scans, by radar volume The vehicles or pedestrians of interior all movements carry out real-time tracking positioning and obtain each target real time position and radar it is original Data information;The license plate candid camera mainly obtains and capture traveling to be believed in road vehicle license board information and picture Breath, then by graphics analysis techniques, to obtain the characteristic information of each vehicle travelled on road, the license plate candid camera Trigger signal by more element omnidirectional trackings detection radar sensor synchronous touching is realized by data collection and analysis processor Hair is captured, and data collection and analysis processor obtains radar triggering license plate candid camera simultaneously and captures the radar of the vehicle at that time The vehicle photographic intelligence and vehicle license information of data information and the crawl of license plate candid camera carry out data summarization and are packaged biography Defeated to arrive the cloud processing server, the cloud processing server carries out analytical analysis processing and data convert to the data;
The data collection and analysis processor is sended over for obtaining more element omnidirectional tracking detection radar sensors Original radar scanning data, later to initial data carry out interference filtering, formed track, summarize, analyze and judge to provide The real-time tracking location information of each vehicle or pedestrian, then cloud processing server is sent in this logarithm by transmitting communication equipment According to being handled, more element omnidirectional trackings of N number of region overlapping detect the data that radar sensor data are installed by trackside Collection analysis processor or the cloud processing server carry out data transmitting, and tracked vehicles or pedestrians are real in this way Show all-the-way tracking continual tracking and positioning in real time, until tracked vehicles or pedestrians leave being covered for N number of continuous radar Detection zone until, wherein same vehicle is detecting radar by more element omnidirectional trackings for being overlapped by N number of detection zone On the road of sensor when driving, system can be the unique identification information of the vehicle allocation, and the vehicle of all travelings is all on road Unique identification code can be assigned keep vehicle four-dimensional outdoor scene traffic perception early warning monitoring management system in information only One property and sustainability, data collection and analysis processor will also complete the following contents:
1) to radar setting detection zone, detection lane;
2) it transfers mathematical operation model and obtains the real-time movement velocity of target object, direction, distance, target angle, track, traveling Time, region;
3) data information is obtained to be sent in pre-set alarm decision rule model and type of alarm decision rule model It is verified, the target for filtering out compound condition carries out calibration output alarm;
4) the camera supervised video camera of start-up trace checks target object progress real-time tracking;
5) it obtains tracking camera video image and is sent to monitoring center for the video recording use of administrative staff's real time inspection;
6) Various types of data for obtaining local more essential sensor acquisitions, analyzing alarm model progress by data, analysis is sentenced in real time It is disconnected;
7) detecting event type include: vehicle lay-off, traffic accident, vehicle congestion, vehicle queue, vehicle drive in the wrong direction, Slow Down, Shed object, pedestrian, lane change violating the regulations and the illegal invasion of specific region, anomalous weather;
The cloud processing server obtains the current road segment that the secondary treatment of front end data acquisition analysis processor transmits Node Weather information, integrated gas data information, vehicle image characteristic information, Radar for vehicle data information, carry out traffic shape State, the road conditions environment four-dimension emulate and start early warning rule, and the location information by obtaining traffic judges that traffic will The section of approach, using it is point-to-point or broadcast by the way of by warning information be sent to will by way of the section traffic into Row alarm prompt;It is simulated according to four-dimensional outdoor scene traffic simulation, formulates emergency preplan, road control, accident vehicle for road management person Pedestrian, which rescues, to be used, and pushed information keeps away row planning path, is reduced under bad weather, the risk of high speed trip;
The data that the four-dimension outdoor scene management work station is sent according to the cloud processing server are called and are generated three-dimensional high-precision imitative True GIS map, it is bottom that the high-precision emulation GIS map of the three-dimensional, which is based on 3DGIS graphics rendering engine, is clapped by unmanned plane It takes the photograph, laser scanning obtains road data and merges in conjunction with corresponding three-dimensional artificial software;
The cloud processing server is mainly communicated with the data collection and analysis processor in front, is obtained at data collection and analysis Data information, warning message, the video information etc. that reason device is sent, and refer to control is issued to data collection and analysis processor Enable, parameter setting instruction, linkage instruction etc., cloud processing server log-on data library stores all data in system, And it works in human-computer interaction and carries out data communication, return warning message and receive and complete all letters sent under work station Breath and control instruction, all data collection and analysis processor configuration informations in completion system build system architecture, establish network The important process such as data link, Local or Remote are safeguarded, data are checked, screened, exporting.It handles all potential or is likely to form The key message of accident starts corresponding decision rule and is pocessed, and carries out information exchange with monitoring data server, can be to road Road monitoring system or third party provide SDK secondary development bag or API data interface, realize that (control containing video is flat with monitoring system Platform) linkage, audible alarm etc..Equipment mainly completes following work: data exchange, store function, system communication, maintenance, collection Middle alarm, scheme forming, linkage scheme execute, load GIS electronic map, figure accelerating engine, traffic abnormal accident thing Part detection is filed for reference with alarm, image storage, data storage, alert event video recording, report production, link instruction hair with third party It send, device systems parameter setting, send presupposed solution, regular job man-machine interface centralized alarm;
Wherein, the vehicle photo of crawl and vehicle license information are sent to data acquisition acquisition by the license plate candid camera The vehicle characteristic information that analysis processor carries out pattern analysis to obtain, which is sent in the cloud processing server, carries out figure point Analysis and data analysis have various threedimensional models identical with actual vehicle and therewith in the database of the cloud processing server Corresponding vehicular characteristics data information, server obtain the vehicle photo and vehicle for each vehicle that license plate candid camera is brought Carry out after characteristic information with three-dimensional vehicle model data in local data base in pairs than and match, will it is consistent with data or Close three-dimensional vehicle model extraction comes out;Secondly, more element omnidirectional trackings detection radar sensor is again by the reality of the vehicle The vehicle tracking location data information that Shi Leida is obtained is done with the threedimensional model of the vehicle further merges matching, and simultaneously should Three-dimensional vehicle model is shown in three-dimensional high-definition emulation GIS map, renders accelerating engine by compensation data technology combination figure It can be obtained by after processing and the direction of motion, movement velocity, real time position, vehicle color, contour of the vehicle phase on real road With three-dimensional vehicle emulation animation, by the motion profile of each vehicle in monitoring three-dimensional artificial animation, transport logical state can One-to-one monitoring is carried out to actual motion vehicle on road to realize, then more element omnidirectional trackings detection radar is sensed More element weather data information, air quality data, photometric data and the clock information of device acquisition, are sent in this system and carry out Comprehensive environmental simulation simulation can more life-like vehicle and place ring to traffic, traffic behavior and traveling Border carries out comprehensive emulation, and can be shown with the four-dimensional graphic picture of high quality using manager;
It is gentle that the cloud processing server receives and stores the vehicle characteristic information after all matchings, vehicle tracking location information After third party's data of image data information, integrated gas data information and acquisition;By to vehicle day in four-dimensional real scene simulation The monitoring in compression ring border, to the real-time detection of weather environment where the vehicle travelled on real road;Cloud processing server is according to connecing The warning message received is advised using the Weather information early warning rule of preset current road segment, the weather warning that will drive into section Then with the weather warning rule of following multiple periods, big data comprehensive analysis is carried out according to artificial intelligence learning method, is generated pre- Alert processing prediction scheme, and early warning prediction scheme is sent to four-dimensional simulative surveillance management station;
The four-dimension simulative surveillance management station receives the three-dimensional vehicle emulation fused data that cloud processing server is sent and the four-dimension is imitative Emulation animation is carried out under true driving path and weather environment to show;Alert event progress alert event is filed for reference, is given birth to based on the received At alert event report.
2. the bad weather pre-warning management system according to claim 1 based on four-dimensional outdoor scene traffic simulation, feature exist In more essential sensors of more element omnidirectional tracking detection radar sensor itself institute bands and comprehensive other sensors The meteorological data and integrated gas data of acquisition include: wind speed, wind direction, rainfall, air pressure, temperature, humidity, illumination, light intensity, dioxy Change sulphur, carbon dioxide, carbon monoxide, methane, volatile matter;The information of vehicles includes: vehicle license information, vehicle dimension, vehicle Body color, vehicle model, vehicle, vehicle system, logo;The radar scanning data include: instantaneous velocity, the direction of motion, longitude and latitude, ID number and deflection, XYZ three-dimensional coordinate.
3. the bad weather pre-warning management system according to claim 2 based on four-dimensional outdoor scene traffic simulation, feature exist In further including that the section that will drive into vehicle of cloud processing server prejudges, according to section in front of vehicle heading It whether is that cross street and high speed line feed section carry out the first priority anticipation;It is average daily according to the front section of vehicle heading Vehicle flowrate carries out the second priority anticipation.
4. the bad weather pre-warning management system according to claim 2 based on four-dimensional outdoor scene traffic simulation, feature exist In the cloud processing server further includes path planning, four-dimensional real scene simulation, the simulation of road condition road conditions environmental simulation, early warning Output;Cloud processing server and third party's alarm prompt equipment carry out data communication, and third party's alarm prompt equipment includes: Auto navigation, Mobile Telephone Gps, bus or train route cooperative device, road informations plate, fog-zone persuader;It is gone through by what cloud processing server obtained History data or present traffic state data and road condition data;Four-dimensional outdoor scene traffic weather is carried out in such a way that numerical value is incremented by Road conditions analogue simulation judges whether that the section will appear bad weather according to the result after analog simulation;When being judged as severe day Gas and when issuing alarm prompt, enables path planning functional module or enables manual path's planning function module, carry out safe road Diameter planning takes traffic control and warning information, road conditions is believed to warning information by point-to-point mode or the mode of broadcast Breath, traffic state information, safety instruction information, control traffic message, fault car evacuation information push to the section or region Interior driver and conductor carries out security alarm prompt.
5. the bad weather pre-warning management system according to claim 2 based on four-dimensional outdoor scene traffic simulation, feature exist In prestoring the threedimensional model of various vehicles in the cloud processing server;The cloud processing server carries out four-dimensional outdoor scene and hands over When logical emulation, the vehicle characteristics of each ID number vehicle are obtained, are carried out pair with the parameter of three-dimensional vehicle model in local data base Than the consistent or close three-dimensional vehicle model extraction of parameter being come out, more element omnidirectional trackings detect more comprehensive thunders of element Up to sensor again by the tracking information of the vehicle, location information, latitude and longitude information, velocity information, direction of motion information, deflection Information is merged with the threedimensional model of the vehicle, and simultaneously shows the three-dimensional vehicle model in three-dimensional high-definition GIS map, is formed The four-dimension can multi-angle preview vehicle driving animation.
6. a kind of bad weather traffic prewarning method based on four-dimensional real scene simulation road conditions perception early warning monitoring management system, special Sign is, applied to bad weather traffic prewarning system described in any one of the claims 1-5, including following step It is rapid:
Step S1 obtains each vehicle of current running on expressway using more element omnidirectional trackings detection radar sensor Radar scanning tracking and positioning data, more element omnidirectional trackings detection radar sensors obtain according to predeterminated frequency in real time simultaneously The section meteorological data and comprehensive destiny evidence, the synchronous triggering license plate candid camera of radar obtains the image letter for being tracked vehicle Breath, and by Radar for vehicle scan tracing data, vehicle image data, the meteorological data of the section node and the integrated gas data It is separately sent to carry out data preliminary treatment in data collection and analysis processor;
Step S2 after the data collection and analysis processor is according to the vehicle image data received, starts image recognition technology Vehicle characteristic information is extracted, extracts vehicle tracking location information according to the radar scanning data received;And vehicle characteristics are believed Breath, vehicle tracking location information, meteorological data, integrated gas data be packaged after be sent to cloud processing server to data again into Row secondary treatment;The data collection and analysis processor enables target according to the Radar for vehicle scanning initial data being initially received Object tracking algorithm, clutter nomography, inertia motion compensation data algorithm, dynamic data backoff algorithm are simultaneously sent according to server The parameters such as all kinds of anomalous event accident vehicle Rule of judgment that come over, detection zone, detection lane are screened, are filtered to original Valid data are analyzed and ultimately formed, and include vehicle, pedestrian's distribution target radar tracking and positioning identification for each tracking target Information.Data collection and analysis processor obtains the vehicle for the license plate candid camera crawl that synchronous triggering is mounted on above lane simultaneously Image information, and the radar vehicle tracking and positioning information of the license plate candid camera is triggered, to guarantee that server receives The data arrived are the image information and radar tracking location data information of the synchronization of the vehicle;
Data collection and analysis processor will also complete content:
1) to radar setting detection zone, detection lane;
2) it transfers mathematical operation model and obtains the real-time movement velocity of target object, direction, distance, target angle, track, traveling The important informations such as time, region;
3) data information is obtained to be sent in pre-set alarm decision rule model and type of alarm decision rule model It is verified, the target for filtering out compound condition carries out calibration output alarm;
4) the camera supervised video camera of start-up trace checks target object progress real-time tracking;
5) it obtains tracking camera video image and is sent to monitoring center for the video recording use of administrative staff's real time inspection;
6) Various types of data for obtaining local more essential sensor acquisitions, analyzing alarm model progress by data, analysis is sentenced in real time It is disconnected, when meeting in preset judgment mechanism;
7) detecting event type include: vehicle lay-off, traffic accident, vehicle congestion, vehicle queue, vehicle drive in the wrong direction, Slow Down, Shed object, pedestrian, lane change violating the regulations and the illegal invasion of specific region, anomalous weather;
Step S3, the cloud processing server receive and store the vehicle characteristic information after all matchings, vehicle tracking positioning Information, meteorological data and integrated gas data;Using four-dimensional emulation module according to receiving vehicle characteristic information and vehicle tracking Location information carries out characteristic information matching with all three-dimensional vehicle models prestored, extracts as driving vehicle on real road Three-dimensional vehicle model, and real-time tracking location information, three-dimensional vehicle model and the cloud that the radar scanning of each automobile is arrived The three-dimensional high-precision GIS map prestored in processing server carries out multi-data fusion emulation, forms four-dimensional real scene simulation and shows, looks into It sees, monitoring scheme, by the monitoring to vehicle weather environment in four-dimensional real scene simulation, to where the vehicle travelled on real road The real-time detection of weather environment;Cloud processing server utilizes the weather of preset current road segment according to the warning message received The weather warning rule of information early warning rule, the weather warning rule that section will be driven into and following multiple periods, according to artificial Intelligence learning method carries out big data comprehensive analysis, generates early warning and handles prediction scheme, and early warning prediction scheme is sent to four-dimensional emulation prison Control management station;
Step S4;Four-dimensional simulative surveillance management station is the human-computer interaction interface of this system, is mainly used to check four-dimensional real scene simulation Warning information, traffic information, traffic state information, safety instruction information, formulation traffic control scheme, fault car evacuation afterwards The main interworking such as information alert event progress alert event can file for reference based on the received, generate alert event report.
7. the bad weather pre-warning management system according to claim 6 based on four-dimensional outdoor scene traffic simulation, feature exist In in step sl, the radar real time data of the vehicle includes: the tracking and positioning information of vehicle, instantaneous velocity information, movement Directional information, latitude and longitude information, target size information, ID number information, type information, direction of motion angle, XYZ three-dimensional coordinate etc. Important information;The characteristic of the vehicle includes: color, vehicle system, appearance, vehicle, brand, model, age, vehicle license letter Breath etc.;More element environmental datas include: data of the Temperature and Humidity module, integrated gas data, brightness light intensity data, rainfall data, wind Fast wind direction data;The integrated gas includes sulfur dioxide, carbon dioxide, carbon monoxide, methane, volatile matter.
8. the bad weather pre-warning management system according to claim 7 based on four-dimensional outdoor scene traffic simulation, feature exist In further including that the section that will drive into vehicle of cloud processing server prejudges, according to vehicle heading in step s 2 Whether front section is that cross street and high speed line feed section carry out the first priority anticipation;Before vehicle heading The square average daily vehicle flowrate in section carries out the second priority anticipation.
9. the bad weather pre-warning management system according to claim 7 based on four-dimensional outdoor scene traffic simulation, feature exist In further including step S4, the cloud processing server further includes path planning, four-dimensional real scene simulation, road condition road conditions environment Analogue simulation, early warning output;Cloud processing server and third party's alarm prompt equipment carry out data communication, third party's alarm Prompting equipment includes: auto navigation, Mobile Telephone Gps, bus or train route cooperative device, road informations plate, fog-zone persuader;It is handled by cloud The historical data or present traffic state data and road condition data that server obtains;Four are carried out in such a way that numerical value is incremented by Outdoor scene traffic weather road conditions analogue simulation is tieed up, judges whether that the section will appear bad weather according to the result after analog simulation; When being judged as bad weather and issuing alarm prompt, enables path planning functional module or enable manual path's planning function mould Block carries out Safe path planning, takes traffic control and will accuse warning information by point-to-point mode or the mode of broadcast Alert information, traffic information, traffic state information, safety instruction information, control traffic message, fault car evacuation information push to Driver and conductor in the section or region carries out security alarm prompt.
10. the bad weather pre-warning management system according to claim 7 based on four-dimensional outdoor scene traffic simulation, feature exist In in step s3, having the vehicle three-dimensional vehicle of the various series of all brand vehicles in the cloud processing server database Model and the corresponding data information of threedimensional model include: vehicle characteristic information, body color information, vehicle vehicle model information, Appearance information, vehicle dimension information and the logo brand message of vehicle, cloud processing server are shot according to vehicle snapshot video camera Vehicle photo carry out image procossing, according to license plate candid camera obtain vehicle pictures vehicle is obtained after pattern analysis Characteristic information, body color information, vehicle vehicle model information, the appearance information of vehicle, vehicle dimension information and logo brand message; The three-dimensional vehicle model being most consistent with captured vehicle photo is being transferred by information matches technology, is being shown in cloud processing service In the high-precision GIS map of three-dimensional obtained in advance in device, data collection and analysis processor is obtained further according to cloud processing server and is sent The radar tracking data of each vehicle of the radar scanning to come over, will be to the radar vehicle real-time tracking data and display in three-dimensional Corresponding three-dimensional vehicle model is merged in high-precision GIS map, using inertia vehicle compensation data technology graphics process Technology enables graphics rendering engine and carries out figure acceleration processing;Cloud service processor is obtained into front end data acquisition analysis processing again More element environmental datas that device sends over include: data of the Temperature and Humidity module, integrated gas data, brightness light intensity data, rainfall data, Wind speed and direction data;The integrated gas includes: sulfur dioxide, carbon dioxide, carbon monoxide, methane, volatile matter;By wanting more The emulation of prime ring border stacked data adduction transfer environment, road conditions emulation, traffic simulation, so as to form based on four-dimensional outdoor scene traffic simulation Bad weather pre-warning management system, enable corresponding early-warning conditions judgment module, externally issued when meeting alarm realize it is multi-party Position linkage processing, to carry out human-computer interaction and real-time display in four-dimensional simulative surveillance management work station.
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