CN113505188A - Big data-based urban map mapping updating system and method - Google Patents
Big data-based urban map mapping updating system and method Download PDFInfo
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Abstract
The invention relates to the field of map surveying and mapping, and discloses a city map surveying and mapping updating system and method based on big data, which comprises a satellite acquisition module, an unmanned aerial vehicle acquisition module, a data receiving module, a data processing module, a road state analysis module, a road comparison module, a master control module, an original map importing module, an information sending module and a preset receiving end, wherein the satellite acquisition module is used for acquiring data of a city; the satellite acquisition module is used for acquiring urban road map information through a satellite remote sensing technology to acquire satellite road map information; the unmanned aerial vehicle acquisition module is used for acquiring urban road map information through an unmanned aerial vehicle to acquire unmanned aerial vehicle road map information; the vehicle acquisition module is used for acquiring road map information of a city from the vehicle acquisition module to the vehicle road map information through the map acquisition vehicle. According to the method, more accurate urban road map can be effectively obtained through collection of various different data and analysis of map data, and the accuracy of the urban road map is guaranteed.
Description
Technical Field
The invention relates to the field of map mapping, in particular to a big data-based urban map mapping updating system and method.
Background
The map is according to certain law, represent the figure or picture of several phenomena of the earth (or other stars) on the level or sphere selectively with two-dimentional or multidimensional form and means, it has strict mathematics foundation, symbol system, word note, and can use the general principle of map, reflect the distribution characteristic and its interrelation of the natural and social economic phenomenon scientifically, while drawing the urban map, need carry on the map mapping of the city, especially the map mapping of the urban road at the same time, need accurate display urban road information on the map to facilitate users to know the road state thus can safe enter the use of the road map according to the road map information, need use urban map mapping updating system and method to gather the road information to carry on the road while carrying on the map updating of the urban road;
in the process of urban map mapping, a plurality of different methods are used, but only one method is used for urban map acquisition, for example, the map is drawn after road information is acquired by a satellite remote sensing technology, and then the map is updated, which easily causes that the updated map information is not accurate enough.
In the existing urban map mapping updating system and method, during the urban map mapping process, the type of collected data is single, so that map information is not accurate enough, the capacity of a drawn inaccurate map is easy to cause accidents, and certain influence is brought to the use of the urban map mapping updating system and method, so that the urban map mapping updating system and method based on big data are provided.
Disclosure of Invention
The embodiment of the application provides a big data-based urban map mapping updating system and method, and solves the technical problems that in the prior art, in the urban map mapping process, the type of collected data is single, the map information is not accurate enough, the mapped inaccurate map is not accurate, accidents are easily caused, and certain influence is brought to the use of the urban map mapping updating system and method, so that the purpose of improving the map accuracy is realized, and the big data-based urban map mapping updating system and method are provided.
The invention solves the technical problems through the following technical scheme, and the system comprises a satellite acquisition module, an unmanned aerial vehicle acquisition module, a data receiving module, a data processing module, a road state analysis module, a road comparison module, a master control module, an original map importing module, an information sending module and a preset receiving end;
the satellite acquisition module is used for acquiring urban road map information through a satellite remote sensing technology to acquire satellite road map information;
the unmanned aerial vehicle acquisition module is used for acquiring urban road map information through an unmanned aerial vehicle to acquire unmanned aerial vehicle road map information;
the vehicle acquisition module is used for acquiring road map information of a city from the vehicle acquisition module to the vehicle road map information through the map acquisition vehicle;
the data receiving module is used for receiving the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information and sending the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information to the data processing module for processing;
the data processing module processes the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information to generate satellite road information, unmanned aerial vehicle road information and automobile road information;
the satellite road information, the unmanned aerial vehicle road information and the automobile road information are sent to a road state analysis module, and the road state analysis module processes the satellite road information, the unmanned aerial vehicle road information and the automobile road information to generate real-time road map information;
the real-time road map information is sent to a road comparison module, and the original map importing module is used for importing the original urban road map into the road comparison module;
the road comparison module compares the real-time road map information with the original urban road map to produce map updating information and map non-updating information;
and the master control module sends the control information sending module to the preset receiving terminal so as to update the map and not update the map.
The data processing module is used for processing the satellite road map information, the unmanned aerial vehicle road map information and the automobile road map information in the following specific processes:
the method comprises the following steps: extracting the acquired satellite road map information to acquire road information of each road, wherein the road information comprises road number information, road length information and congestion times information of each road;
step two; marking the road quantity information as M1 and M2 … … Mn in sequence, marking the length information of each road as Ti, i-1 … … n, and marking the traffic jam time information of each road as P;
step three: extracting the longest road, marking the longest road as Mtmax, extracting the shortest road as Mtmin, extracting the road with traffic jam time information P exceeding the preset traffic jam time, and marking the road as Mpi;
step four: by the formula (T1+ T2+ T3 … … Ti)/i ═ TAre all made ofCalculating the road length mean value TAre all made of；
Step five: extracting unmanned aerial vehicle road map information, and obtaining the longest road Qgmax, the shortest road Qgmin, the traffic jam times information V of each road, the road Qvi exceeding the preset traffic jam times and the road length mean value Z of the unmanned aerial vehicle road map information according to the processes from the first step to the fourth stepAre all made of；
Meanwhile, in the unmanned aerial vehicle road map information, the traffic light quantity information of each road is recorded and marked as Yi, i is 1 … … n;
step six:extracting automobile road map information, and acquiring the longest road Fdmax, the shortest road Fdmin, the traffic jam time information H of each road, the road Fhi exceeding the preset traffic jam times and the road length average value L of the unmanned aerial vehicle road information according to the processes from the first step to the fourth stepAre all made of；
The traffic light quantity information on each road is recorded in the automobile road map information, and is marked as Xi, i ═ 1 … … n.
Further, the specific process of analyzing the road information and generating the real-time road map information by the road state analysis module is as follows:
s1: extracting the longest road Mtmax, the shortest road Mtmin, the longest road Qgmax, the shortest road Qgmin, the longest road Fdmax and the shortest road Fdmin of the unmanned aerial vehicle road map information, calculating the longest difference and the shortest difference to obtain the longest difference and the shortest difference of the roads, generating first abnormal information when the longest difference of the roads is greater than a preset value or less than the preset value or the shortest difference of the roads is greater than the preset value or less than the preset value, and generating first data normal information when the longest difference of the roads and the shortest difference of the roads are less than the preset value;
s2: then extracting roads P exceeding the preset traffic jam times of the satellite road map information, roads Mpi exceeding the preset traffic jam times, traffic jam time information V of each road of the unmanned aerial vehicle road map information, road Qvi exceeding the preset traffic jam times, traffic jam time information H of each road of the lane road map information and roads Fhi exceeding the preset traffic jam times of the unmanned aerial vehicle road map information, generating second abnormal information when the same number of roads P exceeding the preset traffic jam times of the satellite road map information, road Qvi exceeding the preset traffic jam times of the unmanned aerial vehicle road map information and roads Fhi exceeding the preset traffic jam times of the lane road map information is smaller than a preset value, otherwise, regenerating second data normal information, and calculating the difference value between every two of Qvi, Fhi and Mpi to obtain QfDifference (D)、QmDifference (D)And FmDifference (D)When Qf isDifference (D)、QmDifference (D)And FmDifference (D)When the difference value of the absolute values of every two is larger than the preset value, the third abnormal information is generated, and when Qf is larger than the preset valueDifference (D)、QmDifference (D)And FmDifference (D)When the difference value of the absolute values of every two data is 0 or less than a preset value, generating third data normal information;
s3: extracting traffic light quantity information Yi of each road in the unmanned aerial vehicle road map information and traffic light quantity information Xi in the automobile road map information, generating fourth abnormal information when deviation exists between Yi and Xi, and generating fourth data normal information when deviation does not exist between Yi and Xi;
s4, when the first, second, third and fourth data normal information are generated at least at the same time, the satellite road map information, the unmanned plane road map information and the automobile road map information are combined to real-time map information, when at least three of the first, second, third and fourth data are generated normally and no abnormal information is generated, namely the traffic light quantity information is collected again, the satellite road map information, the unmanned plane road map information and the automobile road map information are combined to real-time map information.
Further, the longest difference and the shortest difference in S1 are calculated as follows: extracting a difference value between the longest road Mtmax of the satellite road map information and the longest road Qgmax of the unmanned aerial vehicle road map information to obtain a first longest difference MqmaxDifference (D)And obtaining a first shortest difference Mqmin by the difference value between the shortest road Mtmin of the satellite road map information and the shortest road Qgmin of the unmanned aerial vehicle road map informationDifference (D)And then calculating the difference value between the longest road Fdmax of the automobile road map information and the longest road Qgmax of the unmanned aerial vehicle road map information to obtain a second longest difference FqmaxDifference (D)The difference value of the shortest road Fdmin of the automobile road map information and the shortest road Fdmin of the unmanned plane road map information obtains a second shortest difference FqminDifference (D)Then, the difference value between the longest road Mtmax of the satellite road map information and the longest road Fdmax of the automobile road map information is calculated to obtain a third longest difference MfmaxDifference (D)Shortest of satellite road map informationObtaining a third shortest difference Mfmin by the shortest road Fdmin difference value of the road Mtmin and the automobile road map informationDifference (D)Then by the formula (Mqmax)Difference (D)+FqmaxDifference (D)+MfmaxDifference (D))/3＝MqfmaxAre all made ofThen through the formula (Mqmin)Difference (D)+FqminDifference (D)+MfminDifference (D))/3＝MqfminAre all made ofObtaining the longest difference Mqfmax of the roadAre all made ofAnd shortest difference Mqfmin of roadAre all made of。
Further, the specific process of the road comparison by the road comparison module is as follows: the map updating method comprises the steps that firstly, the map information which is not updated is led into a road comparison module through an original map leading-in module, meanwhile, the real-time road map information is also led into the road comparison module, the road comparison module compares the real-time road map information with an original map, when the similarity between the real-time road map information and the original map is larger than a preset value, the map non-updating information is generated, and when the similarity between the real-time road map information and the original map is smaller than the preset value, the map updating information is generated.
Further, the specific processing procedure of the similarity comparison between the real-time road map information and the original map is as follows:
SS 1: extracting the road quantity information in the real-time road map information and the road quantity information in the original map, respectively marking the information as R1 and R2, and calculating the difference R of R1 and R2Difference (D)；
SS 2: then extracting the traffic light quantity information of all roads in the real-time road map information, marking the traffic light quantity information as J1, marking the traffic light quantity information of all roads in the original map as J2, and calculating the difference J between J1 and J2Difference (D)；
SS 3: extracting the longest road in the real-time road map and the longest road in the original map, respectively marking the longest road as W1 and the longest road as W2, and calculating the difference value W of W1 and W2Difference (D)；
SS 4: when R isDifference (D)、JDifference (D)And WDifference (D)When the data are all 0, namely the similarity between the real-time road map information and the original map is greater than a preset value, when R is greater than the preset valueDifference (D)、JDifference (D)And WDifference (D)All of which are preset values greater than 0 or preset values less than 0When the value is positive, the similarity between the real-time road map information and the original map is smaller than the preset value.
Further, after the map updating information is sent to the preset receiving terminal by the information sending module controlled by the master control module, the preset receiving terminal operates to backup the original map, and the real-time map information is applied to the latest map for displaying after the backup is finished.
A big data-based city map mapping updating method comprises the following steps:
the method comprises the following steps: the method comprises the following steps of collecting road information in various modes, wherein the collection modes comprise satellite collection, vehicle collection and unmanned aerial vehicle collection;
step two: comprehensively processing three urban road information acquired by a satellite, a vehicle and an unmanned aerial vehicle to generate corresponding road information;
step three: comprehensively evaluating the processed road information to obtain real-time road map information, and uploading an original map;
step four: carrying out similar comparison processing on the acquired real-time road map information and the original map, wherein the real-time road map information and the original map are not updated if the similarity is greater than a preset value, and the map is updated if the similarity is less than the preset value;
step five: after the map updating information is sent to the preset receiving terminal, the preset receiving terminal operates to backup the original map, and the real-time map information is applied to the latest map after backup.
Compared with the prior art, the invention has the following advantages:
1. according to the urban map mapping updating system and method based on big data, road information is acquired by a plurality of different acquisition methods at the same time, all-around urban road map mapping is achieved, and the problems that road acquisition is mostly acquired in a single mode in the prior art, road map information is not accurate enough, and large deviation is easy to occur are effectively solved, so that map updating accuracy is effectively guaranteed, and the system and method are more worthy of popularization and use;
2. meanwhile, after the road information is acquired at different acquisition times, the various different road information is comprehensively evaluated to evaluate the various information more reasonably, and the map information contains the traffic jam times information and the traffic light quantity information of the road, so that the problems that the situation of overlarge map deviation after updating caused by too much deviation in each acquisition mode and the situation that the data in the map drawn by the prior art can not meet the use requirements of the user due to single data in the map are effectively solved, and the safety accuracy of the updated map is further ensured;
3. and after basic road information is collected, more detailed road change information is collected, and updating is carried out when the deviation between the collected map and the original map is too large, so that the problems that the map is inaccurate due to simple road information collection and resource waste due to frequent data updating in the prior art are solved, the resource waste due to frequent updating is reduced due to more detailed updated map, the use requirement with higher requirements can be met, and the system is more worthy of popularization and use.
Drawings
FIG. 1 is a functional block diagram of a system in the present embodiment;
fig. 2 is a flowchart of calculation of the longest road difference and the shortest road difference in the present embodiment;
fig. 3 is a flowchart of a city map mapping updating method in the embodiment.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
The embodiment of the application provides a big data-based urban map mapping updating system and method, solves the problem that the mapping accuracy is low and the deviation is large in the prior art, and achieves the technical effect of improving the map accuracy.
As shown in fig. 1 to 3, the present embodiment provides a technical solution: a big data-based urban map mapping updating system comprises a satellite acquisition module, an unmanned aerial vehicle acquisition module, a data receiving module, a data processing module, a road state analysis module, a road comparison module, a master control module, an original map importing module, an information sending module and a preset receiving terminal;
the satellite acquisition module is used for acquiring urban road map information through a satellite remote sensing technology to acquire satellite road map information, and acquiring the road information through the satellite remote sensing technology to facilitate subsequent map information updating;
the unmanned aerial vehicle acquisition module is used for acquiring road map information of a city through an unmanned aerial vehicle to acquire the road map information of the unmanned aerial vehicle. The road map information is collected in a mode that an unmanned aerial vehicle shoots images, so that the map information can be conveniently updated subsequently;
the vehicle acquisition module is used for acquiring the road map information of the city from the road map information acquisition module to the vehicle road map information through the map acquisition vehicle, and the acquisition of the road information is carried out through the map acquisition vehicle so as to facilitate the subsequent map information updating;
the data receiving module is used for receiving the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information and sending the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information to the data processing module for processing;
the data processing module processes the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information to generate satellite road information, unmanned aerial vehicle road information and automobile road information;
the satellite road information, the unmanned aerial vehicle road information and the automobile road information are sent to a road state analysis module, and the road state analysis module processes the satellite road information, the unmanned aerial vehicle road information and the automobile road information to generate real-time road map information;
the real-time road map information is sent to a road comparison module, and the original map importing module is used for importing the original urban road map into the road comparison module;
the road comparison module compares the real-time road map information with the original urban road map to produce map updating information and map non-updating information;
and the master control module sends the control information sending module to the preset receiving terminal so as to update the map and not update the map.
The specific process of the data processing module for processing the satellite road map information, the unmanned aerial vehicle road map information and the automobile road map information is as follows:
the method comprises the following steps: extracting the acquired satellite road map information to acquire road information of each road, wherein the road information comprises road number information, road length information and congestion times information of each road;
step two; marking the road quantity information as M1 and M2 … … Mn in sequence, marking the length information of each road as Ti, i-1 … … n, and marking the traffic jam time information of each road as P;
step three: extracting the longest road, marking the longest road as Mtmax, extracting the shortest road as Mtmin, extracting the road with traffic jam time information P exceeding the preset traffic jam time, and marking the road as Mpi;
step four: by the formula (T1+ T2+ T3 … … Ti)/i ═ TAre all made ofCalculating the road length mean value TAre all made ofStep one to step four, namely satellite road information;
step five: extracting unmanned aerial vehicle road map information, and obtaining the longest road Qgmax, the shortest road Qgmin, the traffic jam times information V of each road, the road Qvi exceeding the preset traffic jam times and the road length mean value Z of the unmanned aerial vehicle road map information according to the processes from the first step to the fourth stepAre all made of；
Meanwhile, in the unmanned aerial vehicle road map information, traffic light quantity information of each road is recorded and marked as Yi, i is 1 … … n, namely the unmanned aerial vehicle road information;
after the road information is acquired at different acquisition times, the various different road information is comprehensively evaluated to carry out more reasonable evaluation on the various information, and the map information contains the traffic jam times information and the traffic light quantity information of the road, so that the problems that the condition of overlarge map deviation after updating caused by more and less deviation in each acquisition mode is acquired and the condition that the data in the map drawn by the prior art can not meet the use requirements of a user singly are solved, and the safety and the accuracy of the updated map are further ensured;
step six: extracting automobile road map information, and acquiring the longest road Fdmax, the shortest road Fdmin, the traffic jam time information H of each road, the road Fhi exceeding the preset traffic jam times and the road length average value L of the unmanned aerial vehicle road information according to the processes from the first step to the fourth stepAre all made of；
Recording traffic light quantity information on each road in the automobile road map information, and marking the traffic light quantity information as Xi, i is 1 … … n, namely the automobile road information;
the road state information acquired by the different types of more detailed acquisition modes can be acquired through the process, so that the subsequent road map analysis is more accurate, and the situation that the updated map has overlarge deviation caused by less and more deviation products in each acquisition mode is effectively solved.
The specific process of analyzing the road information and generating the real-time road map information by the road state analysis module is as follows:
s1: extracting the longest road Mtmax, the shortest road Mtmin, the longest road Qgmax, the shortest road Qgmin, the longest road Fdmax and the shortest road Fdmin of the unmanned aerial vehicle road map information, calculating the longest difference and the shortest difference to obtain the longest difference and the shortest difference of the roads, generating first abnormal information when the longest difference of the roads is greater than a preset value or less than the preset value or the shortest difference of the roads is greater than the preset value or less than the preset value, and generating first data normal information when the longest difference of the roads and the shortest difference of the roads are less than the preset value;
s2: then extracting roads P exceeding the preset traffic jam times of the satellite road map information, roads Mpi exceeding the preset traffic jam times, traffic jam time information V of each road of the unmanned aerial vehicle road map information, road Qvi exceeding the preset traffic jam times, traffic jam time information H of each road of the lane road map information and roads Fhi exceeding the preset traffic jam times of the unmanned aerial vehicle road map information, generating second abnormal information when the same number of roads P exceeding the preset traffic jam times of the satellite road map information, road Qvi exceeding the preset traffic jam times of the unmanned aerial vehicle road map information and roads Fhi exceeding the preset traffic jam times of the lane road map information is smaller than a preset value, otherwise, regenerating second data normal information, and calculating the difference value between every two of Qvi, Fhi and Mpi to obtain QfDifference (D)、QmDifference (D)And FmDifference (D)When Qf isDifference (D)、QmDifference (D)And FmDifference (D)When the difference value of the absolute values of every two is larger than the preset value, the third abnormal information is generated, and when Qf is larger than the preset valueDifference (D)、QmDifference (D)And FmDifference (D)When the difference value of the absolute values of every two data is 0 or less than a preset value, generating third data normal information;
s3: extracting traffic light quantity information Yi of each road in the unmanned aerial vehicle road map information and traffic light quantity information Xi in the automobile road map information, generating fourth abnormal information when deviation exists between Yi and Xi, and generating fourth data normal information when deviation does not exist between Yi and Xi;
s4, when at least one of the first, second, third and fourth data normal information is generated simultaneously, namely the satellite road map information, the unmanned aerial vehicle road map information and the automobile road map information are combined into real-time map information, when at least three of the first, second, third and fourth data are generated normally and no information which is not the city data abnormal information is generated, namely after the traffic light quantity information is collected again, the satellite road map information, the unmanned aerial vehicle road map information and the automobile road map information are combined into the real-time map information;
through the process, the road information acquired in various modes is combined together to form more accurate road map information; the abnormal information in the above process indicates that the data is unavailable, i.e. needs to be collected again and then used.
The calculation process of the longest difference and the shortest difference in S1 is as follows: extracting a difference value between the longest road Mtmax of the satellite road map information and the longest road Qgmax of the unmanned aerial vehicle road map information to obtain a first longest difference MqmaxDifference (D)And obtaining a first shortest difference Mqmin by the difference value between the shortest road Mtmin of the satellite road map information and the shortest road Qgmin of the unmanned aerial vehicle road map informationDifference (D)And then calculating the difference value between the longest road Fdmax of the automobile road map information and the longest road Qgmax of the unmanned aerial vehicle road map information to obtain a second longest difference FqmaxDifference (D)The difference value of the shortest road Fdmin of the automobile road map information and the shortest road Fdmin of the unmanned plane road map information obtains a second shortest difference FqminDifference (D)Then, the difference value between the longest road Mtmax of the satellite road map information and the longest road Fdmax of the automobile road map information is calculated to obtain a third longest difference MfmaxDifference (D)And obtaining a third shortest difference Mfmin by the difference value of the shortest road Mtmin of the satellite road map information and the shortest road Fdmin of the automobile road map informationDifference (D)Then by the formula (Mqmax)Difference (D)+FqmaxDifference (D)+MfmaxDifference (D))/3＝MqfmaxAre all made ofThen through the formula (Mqmin)Difference (D)+FqminDifference (D)+MfminDifference (D))/3＝MqfminAre all made ofObtaining the longest difference Mqfmax of the roadAre all made ofAnd shortest difference Mqfmin of roadAre all made of；
Through the process, more detailed data processing is performed, the authenticity of data is further ensured, and data deviation is reduced.
The specific process of the road comparison by the road comparison module is as follows: the map updating method comprises the steps that firstly, the map information which is not updated is led into a road comparison module through an original map leading-in module, meanwhile, the real-time road map information is also led into the road comparison module, the road comparison module compares the real-time road map information with an original map, when the similarity between the real-time road map information and the original map is larger than a preset value, the map non-updating information is generated, and when the similarity between the real-time road map information and the original map is smaller than the preset value, the map updating information is generated.
The specific processing process of the similarity comparison between the real-time road map information and the original map is as follows:
SS 1: extracting the road quantity information in the real-time road map information and the road quantity information in the original map, respectively marking the information as R1 and R2, and calculating the difference R of R1 and R2Difference (D)；
SS 2: then extracting the traffic light quantity information of all roads in the real-time road map information, marking the traffic light quantity information as J1, marking the traffic light quantity information of all roads in the original map as J2, and calculating the difference J between J1 and J2Difference (D)；
SS 3: extracting the longest road in the real-time road map and the longest road in the original map, respectively marking the longest road as W1 and the longest road as W2, and calculating the difference value W of W1 and W2Difference (D)；
SS 4: when R isDifference (D)、JDifference (D)And WDifference (D)When the data are all 0, namely the similarity between the real-time road map information and the original map is greater than a preset value, when R is greater than the preset valueDifference (D)、JDifference (D)And WDifference (D)When the real-time road map information and the original map are both larger than 0 and the preset value or smaller than 0, the similarity between the real-time road map information and the original map is smaller than the preset value;
through the process, the collected real-time road map and the original map can be compared and processed, and the map is updated when the deviation of the map is overlarge, so that the waste of resources caused by the fact that the map data is normally updated is avoided.
After the map updating information is sent to the preset receiving terminal by the master control module control information sending module, the preset receiving terminal operates to backup the original map, and the real-time map information is applied to the latest map for display after the backup is finished.
A big data-based city map mapping updating method comprises the following steps:
the method comprises the following steps: the method comprises the following steps of collecting road information in various modes, wherein the collection modes comprise satellite collection, vehicle collection and unmanned aerial vehicle collection;
step two: comprehensively processing three urban road information acquired by a satellite, a vehicle and an unmanned aerial vehicle to generate corresponding road information;
step three: comprehensively evaluating the processed road information to obtain real-time road map information, and uploading an original map;
step four: carrying out similar comparison processing on the acquired real-time road map information and the original map, wherein the real-time road map information and the original map are not updated if the similarity is greater than a preset value, and the map is updated if the similarity is less than the preset value;
step five: after the map updating information is sent to the preset receiving terminal, the preset receiving terminal operates to backup the original map, and the real-time map information is applied to the latest map after backup.
In conclusion, when the unmanned aerial vehicle road map information acquisition system is used, the satellite acquisition module acquires the road map information of a city through the satellite remote sensing technology to acquire the satellite road map information, the satellite remote sensing technology acquires the road information to facilitate subsequent map information updating, and the unmanned aerial vehicle acquisition module acquires the road map information of the city through the unmanned aerial vehicle to acquire the road map information of the unmanned aerial vehicle. The method comprises the steps of collecting road map information by an unmanned aerial vehicle image shooting mode to facilitate subsequent map information updating, enabling a vehicle collecting module to collect road map information of a city from a vehicle road map information collecting module through a map collecting vehicle, enabling the vehicle to conveniently perform subsequent map information updating by collecting road information of the collecting vehicle, enabling a data receiving module to receive satellite road map information, unmanned aerial vehicle road map information and vehicle road map information, sending the satellite road map information, unmanned aerial vehicle road map information and vehicle road map information to a data processing module to be processed, enabling the data processing module to process the satellite road map information, unmanned aerial vehicle road map information and vehicle road map information to generate satellite road information, unmanned aerial vehicle road information and automobile road information, and enabling the satellite road information, unmanned aerial vehicle road information and automobile road information to be sent to a road state analyzing module, the road state analysis module processes satellite road information, unmanned aerial vehicle road information and automobile road information to generate real-time road map information, the real-time road map information is sent to the road comparison module, the original map import module imports an original urban road map into the road comparison module, the road comparison module compares the real-time road map information with the original urban road map to generate map update information and map non-update information, and the master control module sends the map update information and the map non-update information to a preset receiving terminal through the control information sending module.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A big data-based urban map mapping updating system is characterized by comprising a satellite acquisition module, an unmanned aerial vehicle acquisition module, a data receiving module, a data processing module, a road state analysis module, a road comparison module, a master control module, an original map importing module, an information sending module and a preset receiving terminal;
the satellite acquisition module is used for acquiring urban road map information through a satellite remote sensing technology to acquire satellite road map information;
the unmanned aerial vehicle acquisition module is used for acquiring urban road map information through an unmanned aerial vehicle to acquire unmanned aerial vehicle road map information;
the vehicle acquisition module is used for acquiring road map information of a city from the vehicle acquisition module to the vehicle road map information through the map acquisition vehicle;
the data receiving module is used for receiving the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information and sending the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information to the data processing module for processing;
the data processing module processes the satellite road map information, the unmanned aerial vehicle road map information and the vehicle road map information to generate satellite road information, unmanned aerial vehicle road information and automobile road information;
the satellite road information, the unmanned aerial vehicle road information and the automobile road information are sent to a road state analysis module, and the road state analysis module processes the satellite road information, the unmanned aerial vehicle road information and the automobile road information to generate real-time road map information;
the real-time road map information is sent to a road comparison module, and the original map importing module is used for importing the original urban road map into the road comparison module;
the road comparison module compares the real-time road map information with the original urban road map to produce map updating information and map non-updating information;
and the master control module sends the control information sending module to the preset receiving terminal so as to update the map and not update the map.
2. The big data based urban mapping update system according to claim 1, wherein: the specific process of the data processing module for processing the satellite road map information, the unmanned aerial vehicle road map information and the automobile road map information is as follows:
the method comprises the following steps: extracting the acquired satellite road map information to acquire road information of each road, wherein the road information comprises road number information, road length information and congestion times information of each road;
step two; marking the road quantity information as M1 and M2 … … Mn in sequence, marking the length information of each road as Ti, i-1 … … n, and marking the traffic jam time information of each road as P;
step three: extracting the longest road, marking the longest road as Mtmax, extracting the shortest road as Mtmin, extracting the road with traffic jam time information P exceeding the preset traffic jam time, and marking the road as Mpi;
step four: by the formula (T1+ T2+ T3 … … Ti)/i ═ TAre all made ofCalculating the road length mean value TAre all made of；
Step five: extracting unmanned aerial vehicle road map information, and obtaining the longest road Qgmax, the shortest road Qgmin, the traffic jam times information V of each road, the road Qvi exceeding the preset traffic jam times and the road length mean value Z of the unmanned aerial vehicle road map information according to the processes from the first step to the fourth stepAre all made of；
Meanwhile, in the unmanned aerial vehicle road map information, the traffic light quantity information of each road is recorded and marked as Yi, i is 1 … … n;
step six: extracting automobile road map information, and acquiring the longest road Fdmax, the shortest road Fdmin, the traffic jam time information H of each road, the road Fhi exceeding the preset traffic jam times and the road length average value L of the unmanned aerial vehicle road information according to the processes from the first step to the fourth stepAre all made of；
The traffic light quantity information on each road is recorded in the automobile road map information, and is marked as Xi, i ═ 1 … … n.
3. A big data based urban mapping update system according to claim 1 or 2, characterized in that: the specific process of analyzing the road information and generating the real-time road map information by the road state analysis module is as follows:
s1: extracting the longest road Mtmax, the shortest road Mtmin, the longest road Qgmax, the shortest road Qgmin, the longest road Fdmax and the shortest road Fdmin of the unmanned aerial vehicle road map information, calculating the longest difference and the shortest difference to obtain the longest difference and the shortest difference of the roads, generating first abnormal information when the longest difference of the roads is greater than a preset value or less than the preset value or the shortest difference of the roads is greater than the preset value or less than the preset value, and generating first data normal information when the longest difference of the roads and the shortest difference of the roads are less than the preset value;
s2: then extracting roads P exceeding the preset traffic jam times of the satellite road map information, roads Mpi exceeding the preset traffic jam times, traffic jam time information V of each road of the unmanned aerial vehicle road map information, road Qvi exceeding the preset traffic jam times, traffic jam time information H of each road of the lane road map information and roads Fhi exceeding the preset traffic jam times of the unmanned aerial vehicle road map information, generating second abnormal information when the same number of roads P exceeding the preset traffic jam times of the satellite road map information, road Qvi exceeding the preset traffic jam times of the unmanned aerial vehicle road map information and roads Fhi exceeding the preset traffic jam times of the lane road map information is smaller than a preset value, otherwise, regenerating second data normal information, and calculating the difference value between every two of Qvi, Fhi and Mpi to obtain QfDifference (D)、QmDifference (D)And FmDifference (D)When Qf isDifference (D)、QmDifference (D)And FmDifference (D)When the difference value of the absolute values of every two is larger than the preset value, the third abnormal information is generated, and when Qf is larger than the preset valueDifference (D)、QmDifference (D)And FmDifference (D)When the difference value of the absolute values of every two data is 0 or less than a preset value, generating third data normal information;
s3: extracting traffic light quantity information Yi of each road in the unmanned aerial vehicle road map information and traffic light quantity information Xi in the automobile road map information, generating fourth abnormal information when deviation exists between Yi and Xi, and generating fourth data normal information when deviation does not exist between Yi and Xi;
s4, when the first, second, third and fourth data normal information are generated at least at the same time, the satellite road map information, the unmanned plane road map information and the automobile road map information are combined to real-time map information, when at least three of the first, second, third and fourth data are generated normally and no abnormal information is generated, namely the traffic light quantity information is collected again, the satellite road map information, the unmanned plane road map information and the automobile road map information are combined to real-time map information.
4. A big data based urban mapping update system according to claim 3, characterized in that: the calculation process of the longest difference and the shortest difference in S1 is as follows: extracting a difference value between the longest road Mtmax of the satellite road map information and the longest road Qgmax of the unmanned aerial vehicle road map information to obtain a first longest difference MqmaxDifference (D)And obtaining a first shortest difference Mqmin by the difference value between the shortest road Mtmin of the satellite road map information and the shortest road Qgmin of the unmanned aerial vehicle road map informationDifference (D)And then calculating the difference value between the longest road Fdmax of the automobile road map information and the longest road Qgmax of the unmanned aerial vehicle road map information to obtain a second longest difference FqmaxDifference (D)The difference value of the shortest road Fdmin of the automobile road map information and the shortest road Fdmin of the unmanned plane road map information obtains a second shortest difference FqminDifference (D)Then, the difference value between the longest road Mtmax of the satellite road map information and the longest road Fdmax of the automobile road map information is calculated to obtain a third longest difference MfmaxDifference (D)And obtaining a third shortest difference Mfmin by the difference value of the shortest road Mtmin of the satellite road map information and the shortest road Fdmin of the automobile road map informationDifference (D)Then by the formula (Mqmax)Difference (D)+FqmaxDifference (D)+MfmaxDifference (D))/3＝MqfmaxAre all made ofThen through the formula (Mqmin)Difference (D)+FqminDifference (D)+MfminDifference (D))/3＝MqfminAre all made ofObtaining the longest difference Mqfmax of the roadAre all made ofAnd shortest difference Mqfmin of roadAre all made of。
5. The big data based urban mapping update system according to claim 1, wherein: the specific process of the road comparison by the road comparison module is as follows: the map updating method comprises the steps that firstly, the map information which is not updated is led into a road comparison module through an original map leading-in module, meanwhile, the real-time road map information is also led into the road comparison module, the road comparison module compares the real-time road map information with an original map, when the similarity between the real-time road map information and the original map is larger than a preset value, the map non-updating information is generated, and when the similarity between the real-time road map information and the original map is smaller than the preset value, the map updating information is generated.
6. The big-data based urban mapping update system according to claim 5, wherein: the specific processing process of the similarity comparison between the real-time road map information and the original map is as follows:
SS 1: extracting the road quantity information in the real-time road map information and the road quantity information in the original map, respectively marking the information as R1 and R2, and calculating the difference R of R1 and R2Difference (D)；
SS 2: then extracting the traffic light quantity information of all roads in the real-time road map information, marking the traffic light quantity information as J1, marking the traffic light quantity information of all roads in the original map as J2, and calculating the difference J between J1 and J2Difference (D)；
SS 3: extracting the longest road in the real-time road map and the longest road in the original map, respectively marking the longest road as W1 and the longest road as W2, and calculating the difference value W of W1 and W2Difference (D)；
SS 4: when R isDifference (D)、JDifference (D)And WDifference (D)When the data are all 0, namely the similarity between the real-time road map information and the original map is greater than a preset value, when R is greater than the preset valueDifference (D)、JDifference (D)And WDifference (D)And if the preset values are all larger than 0 or smaller than 0, the similarity between the real-time road map information and the original map is smaller than the preset value.
7. The big data based urban mapping update system according to claim 1, wherein: after the map updating information is sent to the preset receiving terminal by the master control module control information sending module, the preset receiving terminal operates to backup the original map, and the real-time map information is applied to the latest map for display after the backup is finished.
8. A big data-based urban map mapping updating method is characterized in that: the method comprises the following steps:
the method comprises the following steps: the method comprises the following steps of collecting road information in various modes, wherein the collection modes comprise satellite collection, vehicle collection and unmanned aerial vehicle collection;
step two: comprehensively processing three urban road information acquired by a satellite, a vehicle and an unmanned aerial vehicle to generate corresponding road information;
step three: comprehensively evaluating the processed road information to obtain real-time road map information, and uploading an original map;
step four: carrying out similar comparison processing on the acquired real-time road map information and the original map, wherein the real-time road map information and the original map are not updated if the similarity is greater than a preset value, and the map is updated if the similarity is less than the preset value;
step five: after the map updating information is sent to the preset receiving terminal, the preset receiving terminal operates to backup the original map, and the real-time map information is applied to the latest map after backup.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114745014A (en) * | 2022-05-09 | 2022-07-12 | 深圳华跃云鹏科技有限公司 | Satellite portable system and method integrating heaven-earth communication, wide-band and narrow-band ad hoc network |
| CN114745014B (en) * | 2022-05-09 | 2024-05-28 | 深圳华跃云鹏科技有限公司 | Satellite portable system and method integrating Tiantong and broadband and narrowband ad hoc networks |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114745014A (en) * | 2022-05-09 | 2022-07-12 | 深圳华跃云鹏科技有限公司 | Satellite portable system and method integrating heaven-earth communication, wide-band and narrow-band ad hoc network |
| CN114745014B (en) * | 2022-05-09 | 2024-05-28 | 深圳华跃云鹏科技有限公司 | Satellite portable system and method integrating Tiantong and broadband and narrowband ad hoc networks |
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