Carrier supervision and analysis method based on Beidou spatio-temporal data reconstruction and data mining
A spatiotemporal data and vehicle technology, applied in the field of Beidou positioning, can solve the problems of difficult real-time monitoring and early warning, lack of trajectory prediction, deviation of point, line, surface and road network data, etc., and achieve the effect of accurate positioning.
Active Publication Date: 2021-12-10
江西省军民融合研究院
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[0003] In order to overcome the above-mentioned deficiencies, the purpose of the present invention is to provide the field with a method for monitoring and analyzing vehicles based on Beidou spatio-temporal data reconstruction and data mining, so that it mainly solves the problem of abstraction of points, lines, and planes in existing similar technologies due to the problems caused by Beidou spatio-temporal data. The lack and drift of the abstracted point, line, surface and road network data are offset, making it difficult to accurately locate, lack of trajectory prediction, and difficult to real-time monitoring and early warning technical problems
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[0022] Now in conjunction with the accompanying drawings, the specific implementation steps of the present invention will be further described in detail. Flowchart of the delivery vehicle regulatory analysis method, such as figure 1 shown.
[0023] Step 1, Beidou space semantic expression, to achieve the division of space granularity.
[0024] 1. With the help of base station and road network information, construct the mapping map between Thiessen polygon and road network, divide the road network into road sections, and form the calibration of road section sequences. Such as figure 2 As shown, based on the schematic diagram of road segment division; the figure shows the mapping relationship layer based on the intersection of Thiessen polygon and road network, and divides the road network based on the above two types of layers, and each road segment is covered by Thiessen polygon Length; based on the division of each road segment, the calibration of the road segment sequenc...
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The invention relates to a carrier supervision and analysis method based on Beidou spatio-temporal data reconstruction and data mining, and aims to solve the technical problems that an existing similar method is difficult to accurately position an offset phenomenon and lacks track prediction and real-time monitoring and early warning. The method is characterized by comprising the following steps: reconstructing Beidou spatio-temporal data, and abstracting the Beidou spatio-temporal data in combination with road network information; thirdly, combining the range of the Thiessen polygon of the communication base station to carry out spatial semantic expression of the Thiessen polygon and road network information on the abstracted data, and realizing the division of the spatial granularity of the Beidou spatio-temporal data; then, in combination with a set time granularity, recording a set of spatial changes of the Beidou objects along with time changes, and realizing construction of a Beidou multi-granularity spatio-temporal data model; and finally, for the objects with certain similarity, the moving tracks of the objects are analyzed, and the objects are classified through the geographic position similarity of the objects to reflect the activity rules of the objects with the same preference at the geographic positions.
Description
technical field [0001] The invention relates to Beidou positioning technology, and is a method for supervising and analyzing vehicles based on Beidou spatio-temporal data reconstruction and data mining. Background technique [0002] Beidou positioning technology is a global satellite positioning system independently developed by China. Its working principle is to measure the distance between the known satellite and the user's receiver, and then combine the data of multiple satellites to know the specific position of the receiver. Since Beidou terminals generate a large amount of data every day, it is necessary to reconstruct and organize the data in order to more effectively study Beidou objects (vehicles) and analyze the laws of the vehicles. The existing technology generally converts multi-granularity spatio-temporal data (data generated by Beidou including latitude and longitude, speed, steering, events, and short messages) and abstracts them into points, lines, and plane...
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IPC IPC(8): G06F16/21G06F16/2458G06F16/29G06Q50/30
CPCG06F16/212G06F16/2465G06F16/29G06Q50/40
Inventor 邱小剑阮杰付珍江瑞宇黄星辉张振
Owner 江西省军民融合研究院