CN114822026A - Intelligent fusion method for acquiring scene data of holographic map - Google Patents
Intelligent fusion method for acquiring scene data of holographic map Download PDFInfo
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- CN114822026A CN114822026A CN202210430776.1A CN202210430776A CN114822026A CN 114822026 A CN114822026 A CN 114822026A CN 202210430776 A CN202210430776 A CN 202210430776A CN 114822026 A CN114822026 A CN 114822026A
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- 230000004927 fusion Effects 0.000 claims description 34
- 238000013480 data collection Methods 0.000 claims description 20
- 238000013079 data visualisation Methods 0.000 claims description 12
- 230000000007 visual effect Effects 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000012876 topography Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 claims description 3
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
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Abstract
The invention discloses an intelligent fusion method for acquiring scene data of a holographic map, which relates to the technical field of generation of scenes of the holographic map and aims to solve the problems that the holographic map cannot detect the whole traffic speed and the road noise in the fusion process of acquiring various data, judge the road flatness condition through the two detection data, cannot remind road flatness information of travelers in advance, cannot remind weather conditions above a front trip road in real time and cannot remind travelers of avoiding entering an area with a high natural risk coefficient in time. The road flatness and the effect of reminding through regional natural risks are achieved.
Description
Technical Field
The invention relates to the technical field of holographic map scene generation, in particular to an intelligent fusion method for holographic map scene data acquisition.
Background
Under the condition that modern electronic maps are popularized, people can check routes needing going out anytime and anywhere, the electronic maps are convenient and fast to use, convenience is provided for life of people, the electronic maps comprise holographic maps, normal operation of the electronic maps cannot be supported by various data, and normal use of the electronic maps can be met through fusion and conversion of various data and generation of images.
The above prior art solutions have the following drawbacks: the holographic map can not detect the whole traffic speed and the road noise through the integration process of collecting various data, judge the road flatness condition through the two detection data, can not remind road flatness information of a traveler in advance, can not remind the weather condition above the front trip road in real time, and can not remind the traveler in time to avoid entering an area with a high natural risk coefficient.
Disclosure of Invention
The invention aims to provide a holographic map data acquisition and fusion method capable of timely reminding a traveler of the flatness condition of a road in front of the traveler and the natural risk level of a trip road area.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent fusion method for acquiring scene data of a holographic map comprises a data acquisition module, a data fusion module and a data visualization output module, wherein the data acquisition module, the data fusion module and the data visualization output module transmit data through a network;
the data acquisition module is used for acquiring various data of the map and transmitting the acquired data to the rear data fusion module in a wireless transmission mode;
the data fusion module is used for receiving, classifying, fusing and transmitting various collected map composition data;
the data visualization output module is used for receiving the data fused by the data fusion module, converting the data into a three-dimensional graph and a simulation graph, and displaying the converted three-dimensional graph through an external mobile client.
Further, the inside of data acquisition module is including road data acquisition module, topography data acquisition module, weather data acquisition module, warning sound data acquisition module, and mutual independence work between road data acquisition module, topography data acquisition module, weather data acquisition module, the warning sound data acquisition module, road data acquisition module passes through the satellite map and gathers the road information condition of each region of the country on the spot to further refine according to the information of collecting, including the distribution at each road intersection, the kind of each road red green light.
Furthermore, the road data acquisition module also comprises an overall traffic speed data acquisition module and a road noise information acquisition module, wherein the traffic speed data acquisition module is used for collecting road conditions in real time through a traffic sensor and a camera and measuring the overall traffic moving speed, and the road noise information acquisition module is used for detecting the road noise conditions in real time through a road noise detector arranged on one side of a road.
Furthermore, the topographic data acquisition module measures the topographic features of the whole country through geodetic satellites, and further refines the topographic features according to the collected information, including the distribution of mountains and rivers and the distribution of each terrain.
Furthermore, the weather data acquisition module detects national weather cloud pictures in real time through a weather satellite and further refines the received cloud picture information according to the received cloud picture information, wherein the weather information comprises weather information of all roads along the road and natural disaster early warning grades of all roads along the road.
Furthermore, the prompt tone data acquisition module records in a centralized manner, recorded prompt tones are stored in the cloud server, and the concentrated recorded prompt tones are classified according to real-time road conditions and real-time weather conditions.
Further, the data fusion module independently receives the road data acquisition module, the whole traffic speed data acquisition module, the road noise information acquisition module, the terrain data acquisition module, the weather data acquisition module and the information collected by the warning tone data acquisition module, on the basis of the road information collected by the road data acquisition module, the traffic speed data acquisition module, the road noise information acquisition module, the terrain data acquisition module and the data collected by the weather data acquisition module are divided according to positions to form continuous geographical blocks, the divided positions and the road positions are matched and fused to obtain preliminary fusion data, and the data collected by the warning tone data acquisition module are matched according to the road positions and the weather states and the preliminary fusion data to obtain final fusion data.
Further, the data visualization output module receives the final fusion data, converts the final fusion data into a visual pattern by combining image graph conversion and a three-dimensional forming technology, and outputs and displays the visual pattern to the mobile client.
In conclusion, the beneficial technical effects of the invention are as follows:
1. the terrain conditions of all parts of the country can be collected through the terrain data acquisition module, the height trend distribution of each road can be obtained after the terrain data is matched and fused with the road distribution conditions, and a user can accurately know the driving difficulty degree of the passing road through a map before starting to a destination, so that a driver can conveniently and accurately know the driving difficulty degree in advance, and the accident occurrence probability is reduced;
2. the weather data acquisition module can be used for collecting the weather conditions along the road in real time, so that travelers can acquire the weather conditions of the road before arriving at a destination, help travelers to avoid dangerous road sections in time and avoid the travelers from entering areas with high natural disaster levels;
3. through the collection of whole traffic speed data acquisition module and road noise information acquisition module, can be real-timely obtain the current speed of a motor vehicle and the road surface noise condition when the vehicle is current, low when the vehicle speed of passing, when the road surface noise is big, then can judge that the road surface roughness of this highway section is low, and the road surface quality of passing is poor, reminds the passerby to slow down in advance, improves the factor of safety of passerby through this highway section.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic diagram of the internal structure of the data acquisition module of the present invention;
fig. 3 is a schematic diagram of the internal structure of the road data acquisition module of the present invention.
Detailed Description
The method of the present invention is described in further detail below with reference to the accompanying drawings.
Referring to the attached figure 1, the intelligent fusion method for acquiring the scene data of the holographic map comprises a data acquisition module, a data fusion module and a data visualization output module, wherein the data acquisition module, the data fusion module and the data visualization output module transmit data through a network;
the data acquisition module is used for acquiring various data of map components and transmitting the acquired data to the rear data fusion module in a wireless transmission mode;
the data fusion module is used for receiving, classifying, fusing and transmitting various collected map composition data;
the data visualization output module is used for receiving the data fused by the data fusion module, and converts the data, convert three-dimensional stereo graph and simulation graph, the three-dimensional graph that will convert is shown through outside mobile client, convert the data that each collection module gathered to the visual graph after, show the user, the more audio-visual judgement of convenient to use person, can the convenient to use person to the understanding of trip route, help passerby that can be intelligent initiatively avoids dangerous road, intelligent degree is higher, the safety in utilization is stronger.
Referring to fig. 1-2, the data acquisition module includes a road data acquisition module, a terrain data acquisition module, a weather data acquisition module, and a warning tone data acquisition module, and the road data acquisition module, the terrain data acquisition module, the weather data acquisition module and the warning tone data acquisition module work independently, thereby independently receiving the real-time data condition of each acquisition point, facilitating the timely updating of the whole holographic map working data, providing basic data for the holographic map by the road data acquisition module through collecting the road information condition of each region of the whole country through the satellite map and the field acquisition, ensuring the normal use of the holographic map, and further refining according to the collected information, including the distribution of each road intersection and the types of red and green lights of each road intersection, so that the subsequent data information can be normally matched and fused.
Referring to fig. 3, the road data collecting module further includes an overall traffic speed data collecting module, and a road noise information collecting module, the traffic speed data collecting module collects road conditions in real time through a traffic sensor and a camera, and measures overall traffic moving speed, the road noise information collecting module detects road noise conditions in real time through a road noise detector arranged on one side of a road, and the road noise information collecting module collects road noise information through the overall traffic speed data collecting module and the road noise information collecting module, so that road vehicle passing speed and road noise conditions during vehicle passing can be obtained in real time, when the vehicle passing speed is low, and when road noise is large, the road smoothness of the road section can be judged to be low, the road passing quality is poor, a traveler is reminded to decelerate in advance, and the safety coefficient of the traveler passing the road section is improved.
Referring to fig. 2, the terrain data acquisition module measures the terrain and features of the whole country through geodetic satellites, further refines the collected information including the distribution of mountains and rivers and the distribution of the terrains, provides necessary data support for the three-dimensional forming of the holographic map through the acquisition of the terrains of all the places, matches and fuses the terrain data and the road distribution situation to obtain the height trend distribution of all the roads, so that a user can accurately know the driving difficulty of the passing roads through the map before starting to a destination, a driver can conveniently make accuracy in advance, and the probability of accidents is reduced.
Referring to fig. 2, the weather data acquisition module detects the national weather cloud picture through meteorological satellites in real time, and further refines according to the received cloud picture information, including the weather information along each road, the natural disaster early warning level along each road, through the collection to the national weather cloud picture, the weather condition along the road that can be accurate obtains, the passerby of being convenient for can acquire the road weather condition before not arriving the destination, help timely danger avoiding highway section of trip personnel, and avoid trip personnel to get into the region that the natural disaster level is high.
Referring to fig. 2, the prompt tone data acquisition module records the recorded prompt tones in a centralized manner, and stores the recorded prompt tones in the cloud server, so that the concentrated recorded prompt tones are classified according to real-time road conditions and real-time weather conditions, and a guarantee is provided for matching and fusing subsequent prompt tones and road information data.
Referring to fig. 1-3, the data fusion module independently receives information collected by the road data collection module, the overall traffic speed data collection module, the road noise information collection module, the terrain data collection module, the weather data collection module, and the warning tone data collection module, based on the road information collected by the road data collection module, dividing the data collected by the traffic speed data collection module, the road noise information collection module, the terrain data collection module and the weather data collection module according to positions to form continuous geographic blocks, matching and fusing the divided positions and road positions to obtain preliminary fusion data, matching the data collected by the prompt tone data collection module according to the road positions and the weather states with the preliminary fusion data to obtain final fusion data, the data collected by different collection modules are fused, so that the stable work of each function on the holographic map is ensured.
Referring to fig. 1, the data visualization output module receives the final fusion data, converts the final fusion data into a visual pattern by combining image graph conversion and a three-dimensional modeling technology, and outputs and displays the visual pattern to the mobile client, so that a user can accurately acquire required information through a visual three-dimensional image.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: equivalent changes made according to the structure, shape and principle of the invention shall be covered by the protection scope of the invention.
Claims (8)
1. An intelligent fusion method for holographic map scene data acquisition comprises a data acquisition module, a data fusion module and a data visualization output module, and is characterized in that: the data acquisition module, the data fusion module and the data visualization output module transmit data through a network;
the data acquisition module is used for acquiring various data of the map and transmitting the acquired data to the rear data fusion module in a wireless transmission mode;
the data fusion module is used for receiving, classifying, fusing and transmitting various collected map composition data;
the data visualization output module is used for receiving the data fused by the data fusion module, converting the data into a three-dimensional graph and a simulation graph, and displaying the converted three-dimensional graph through an external mobile client.
2. The intelligent fusion method for holographic map scene data acquisition according to claim 1, characterized in that: the inside of data acquisition module is including road data acquisition module, topography data acquisition module, weather data acquisition module, warning sound data acquisition module, and mutual independence work between road data acquisition module, topography data acquisition module, weather data acquisition module, the warning sound data acquisition module, road data acquisition module passes through the satellite map and gathers the road information condition of collecting each region of the country on the spot to according to the further refinement of the information of collecting, including the distribution of each road intersection, the kind of each road red green light.
3. The intelligent fusion method for holographic map scene data acquisition according to claim 2, characterized in that: the road data acquisition module further comprises an overall traffic speed data acquisition module and a road noise information acquisition module, the traffic speed data acquisition module collects road conditions in real time through a traffic sensor and a camera and measures overall traffic moving speed, and the road noise information acquisition module detects the road noise conditions in real time through a road noise detector arranged on one side of a road.
4. The intelligent fusion method for holographic map scene data acquisition according to claim 2, characterized in that: the terrain data acquisition module measures the terrain and landform of the whole country through geodetic satellites, and further refines the terrain and landform according to the collected information, including the distribution of mountains and rivers and the distribution of each terrain.
5. The intelligent fusion method for holographic map scene data acquisition according to claim 2, characterized in that: the weather data acquisition module detects national weather cloud pictures in real time through a weather satellite and further refines the weather cloud pictures according to received cloud picture information, wherein the weather cloud pictures comprise weather information of all roads along the road and natural disaster early warning levels of all roads along the road.
6. The intelligent fusion method for holographic map scene data acquisition according to claim 2, characterized in that: the prompting voice data acquisition module records in a centralized manner, recorded prompting voices are stored in the cloud server, and the centralized recorded prompting voices are classified according to real-time road conditions and real-time weather conditions.
7. The intelligent fusion method for holographic map scene data acquisition according to claim 3, characterized in that: the road data collection module is independently received by the data fusion module, the whole traffic speed data collection module, the road noise information collection module, the terrain data collection module, the weather data collection module and the information collected by the warning tone data collection module, the road information collected by the road data collection module is taken as a basis, the traffic speed data collection module, the road noise information collection module, the terrain data collection module and the data collected by the weather data collection module are divided according to positions to form continuous geographical blocks, the divided positions and the road positions are matched and fused to obtain primary fusion data, and the data collected by the warning tone data collection module is matched according to the road positions and the weather states and the primary fusion data to obtain final fusion data.
8. The intelligent fusion method for holographic map scene data acquisition according to claim 7, wherein: and the data visualization output module receives the final fusion data, converts the final fusion data into a visual pattern by combining image graph conversion and a three-dimensional forming technology, and outputs and displays the visual pattern to the mobile client.
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- 2022-04-22 CN CN202210430776.1A patent/CN114822026A/en active Pending
Patent Citations (6)
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| WO2018119889A1 (en) * | 2016-12-29 | 2018-07-05 | 深圳前海达闼云端智能科技有限公司 | Three-dimensional scene positioning method and device |
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