CN116595325A - Method for calculating virtual coupling of vehicle portrait and detection code equipment - Google Patents
Method for calculating virtual coupling of vehicle portrait and detection code equipment Download PDFInfo
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Abstract
The invention discloses a calculation method for virtual coupling of vehicle, portrait and code detection equipment, which comprises the following steps: step one, setting a layer 0, a layer 1, a layer 2 and a layer 3; step two, forming the association relation of the equipment; step three, connecting the vehicle equipment nodes and the portrait equipment nodes according to a certain rule; fourthly, connecting the code detection equipment node and the vehicle equipment node according to a certain rule, and simultaneously connecting the code detection equipment node and the portrait equipment node according to a certain rule; step five, searching the associated equipment downwards in sequence from the level 3 to the level 0, and finding the associated node equipment; and step six, removing the associated equipment, wherein the method has the characteristics of dynamic adjustability and high reliability of the association relation among the equipment, and the method for obtaining the data association relation by using the equipment association is simpler, more efficient and more accurate.
Description
Technical Field
The invention relates to a method for calculating virtual coupling of various types of equipment, in particular to a method for calculating virtual coupling of vehicle, portrait and detecting equipment.
Background
In recent years, along with the rapid development of social economy, automobiles and mobile phones become main tools and indispensable necessary articles for people to travel, basic information of corresponding people can be rapidly searched according to license plate numbers and mobile phone numbers by means of real-name information, and meanwhile, along with the increasing popularization of intelligent terminal equipment and the increasing maturity of face recognition technology, basic information of people is also an important means through face pictures.
In the existing detection technology, basic information of searching people based on license plates, mobile phones and image data has relatively mature independent application, but in the actual detection process, because user information, vehicle information, IMSI information and portrait information are all stored independently, the situation that forensic work is difficult to advance due to data deletion can occur only by adopting a certain technical means, and therefore the problem of data deletion can be solved only by effectively correlating track data of vehicles, portraits and mobile phones to realize data complementation.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a calculation method for virtual coupling of vehicle, portrait and detecting code equipment.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
a calculation method for virtual coupling of vehicles, portraits and detection code equipment comprises the following steps:
step one, setting a level 0, a level 1, a level 2 and a level 3, and setting threshold conditions for each level;
step two, forming an association relation by equipment, and then inserting the association relation into a level 0 as an associated equipment node, wherein the equipment is vehicle equipment or portrait equipment or detecting code equipment;
step three, connecting the vehicle equipment nodes and the portrait equipment nodes according to a certain rule;
fourthly, connecting the code detection equipment node and the vehicle equipment node according to a certain rule, and simultaneously connecting the code detection equipment node and the portrait equipment node according to a certain rule;
step five, searching downwards in sequence from the level 3 to the level 0 when searching the associated equipment, and finding out the node of the associated equipment;
and step six, when the associated equipment is removed, all the nodes of the associated equipment of the equipment are deleted from the hierarchy 0 to the hierarchy 3 in sequence, and meanwhile, the basic information data of the associated equipment are deleted.
Preferably, the threshold condition of level 0 is set to a0, the threshold condition of level 1 is set to a1, the threshold condition of level 2 is set to a2, and the threshold condition of level 3 is set to a3.
Preferably, the process of connecting the vehicle equipment node and the portrait equipment node according to a certain rule is as follows: the distance from the portrait equipment node to all the vehicle equipment nodes is calculated through the longitude and latitude of the portrait equipment node and the longitude and latitude of all the vehicle equipment nodes, the vehicle equipment node and the portrait equipment node which meet the threshold condition a0 are connected according to a certain rule, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a0 start to perform traversal calculation under the threshold condition a1, the vehicle equipment node and the portrait equipment node which meet the threshold condition a1 are connected according to a certain rule, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a1 start to perform traversal calculation under the threshold condition a2, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a2 start to perform traversal calculation under the threshold condition a3, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a3 are connected according to a certain rule, and then the cycle is ended.
Preferably, the process of connecting the code detection device node and the vehicle device node according to a certain rule is as follows: the method comprises the steps of calculating the distance from a detection device node to all vehicle device nodes through the longitude and latitude of the detection device node and the longitude and latitude of all vehicle device nodes, connecting the detection device node and the vehicle device node which meet a threshold value condition a0 according to a certain rule, starting traversing calculation on the threshold value condition a1 by the detection device node and the vehicle device node which do not meet the threshold value condition a0, connecting the detection device node and the vehicle device node which meet the threshold value condition a1 according to a certain rule, starting traversing calculation on the threshold value condition a2 by the detection device node and the vehicle device node which do not meet the threshold value condition a1, connecting the detection device node and the vehicle device node which do not meet the threshold value condition a2 according to a certain rule, starting traversing calculation on the threshold value condition a3 by the detection device node and the vehicle device node which do not meet the threshold value condition a3, and then ending the cycle.
Preferably, the process of connecting the code detection equipment node and the portrait equipment node according to a certain rule is as follows: the method comprises the steps of calculating the distance from a detection device node to all portrait device nodes through the longitude and latitude of the detection device node and the longitude and latitude of all portrait device nodes, connecting the detection device node and the portrait device node which meet a threshold condition a0 according to a certain rule, starting traversing calculation on the threshold condition a1 by the detection device node and the portrait device node which do not meet the threshold condition a0, connecting the detection device node and the portrait device node which meet the threshold condition a1 according to a certain rule, starting traversing calculation on the threshold condition a2 by the detection device node and the portrait device node which do not meet the threshold condition a1, connecting the detection device node and the portrait device node which do not meet the threshold condition a2 according to a certain rule, starting traversing calculation on the threshold condition a3 by the detection device node and the portrait device node which do not meet the threshold condition a2, and then ending the cycle.
Preferably, the basic information data of the device includes a device type, a device number, a device name, and a device longitude and latitude.
Preferably, the process of configuring the association relationship by the devices is as follows:
s1, acquiring basic information data of equipment;
s2, the acquired data are stored in groups according to the types of the devices, and the basic information data of the devices of the same type are stored in a cache of the same device group;
step S3, after the data is successfully stored, synchronizing the basic information data query index of the corresponding equipment into an index cache;
step S4, turning to step S1 until all the devices are stored in the corresponding device group cache;
s5, taking a piece of data from the index cache, inquiring basic information of corresponding equipment, and calculating to obtain all equipment sets of other types of the equipment within the acquisition radius range;
s6, performing virtual coupling calculation on the results of all the equipment sets, and storing the finally calculated association relation results;
s7, deleting the index from the index cache;
step S8, turning to step S5 until no data exists in the index cache;
and S9, constructing the virtual coupling relation of all the calculated devices into an association relation.
The beneficial effects of the invention are as follows: the virtual coupling relation of the equipment obtained by the algorithm has the advantages of dynamic adjustability, the acquisition range of each equipment can be influenced by factors such as equipment system, installation position and direction, acquisition rate and the like, ideal acquisition range condition parameters are obtained by carrying out weighted calculation on factors corresponding to equipment in a place, in different distance ranges, only the threshold condition of a query level is needed to be adjusted, the existing association relation of nodes in each level is not needed to be recalculated, the dynamic adjustability and the high reliability of the association relation between the equipment are realized, the association relation between all the equipment nodes in different types can be calculated once, the missing association relation does not appear, the searching speed is high, the searching is carried out from top to bottom, each level has a corresponding extremum, in most cases, global searching does not appear, the distributed level relation can be controlled by adjusting the threshold value, the expansibility is good, the equipment nodes can be added and deleted at will, and the equipment combination relation obtained by calculating the algorithm can be adjusted in real time according to different scenes;
the track data is acquired by the equipment, so that whether the association relationship exists among different data can be indirectly acquired by utilizing the relationship among the equipment, the virtual coupling calculation is performed on three acquisition equipment such as a vehicle, a portrait and a detection code in advance to acquire the association relationship among the three different equipment, and the method for acquiring the data association relationship by utilizing the equipment association is simpler, more efficient and more accurate compared with the traditional method for directly searching the relationship according to the data, because the association relationship among the equipment can be indirectly considered as the strong association relationship among the data acquired by the equipment which is associated in the same time range, the association relationship among the three independent data such as the vehicle, the portrait and the detection code can be constructed through the equipment association;
the invention realizes the establishment of association relation among three independent track data of vehicles, figures and detection codes by using a virtual coupling mode of computing equipment, provides a data basis for the joint detection of case pieces by multiple technologies, and aims to describe and supplement information of possible case-involved persons by three-dimensional data of the vehicles, the people and the detection codes, thereby solving the problem that the detection work cannot be advanced due to the absence of certain data in the vehicles, the people and the detection codes by adopting a single technical means in case detection work.
Drawings
FIG. 1 is a hierarchical structure diagram of the present invention;
FIG. 2 is a diagram of the association between different types of devices;
in the figure, A1, vehicle equipment, B1, portrait equipment, B2, portrait equipment, B3, portrait equipment, C1, code detection equipment, C2 and code detection equipment.
Description of the embodiments
The technical scheme of the invention is further described below with reference to the attached drawings in the specification:
a calculation method for virtual coupling of vehicles, portraits and detection code devices is characterized in that an HNSW algorithm based on an approximate nearest neighbor search algorithm is taken as a theoretical model, each acquisition device in a space is regarded as a node, the coupling between the devices is the association between the nodes, a large number of points far away from a target point are skipped at a high layer based on the thought of a similar jump table, so that the point close to the target is quickly positioned, the search range is shortened, heuristic search is adopted to select and connect neighbor nodes when a relational layer graph is constructed, and therefore the situation of isolated points is prevented, and the data structure is shown in figure 1.
A calculation method for virtual coupling of vehicles, portraits and detection code equipment comprises the following steps:
step one, setting a level 0, a level 1, a level 2 and a level 3, and setting threshold conditions for each level;
step two, forming an association relation by the equipment, then inserting the association relation into a level 0 as an associated equipment node, wherein the equipment is vehicle equipment or portrait equipment or detecting code equipment;
step three, connecting the vehicle equipment nodes and the portrait equipment nodes according to a certain rule;
fourthly, connecting the code detection equipment node and the vehicle equipment node according to a certain rule, and simultaneously connecting the code detection equipment node and the portrait equipment node according to a certain rule;
step five, searching downwards in sequence from the level 3 to the level 0 when searching the associated equipment, and finding out the node of the associated equipment;
and step six, when the associated equipment is removed, all the nodes of the associated equipment of the equipment are deleted from the hierarchy 0 to the hierarchy 3 in sequence, and meanwhile, the basic information data of the associated equipment are deleted. Assuming node A1 in fig. 1 is a central node, if the distance range satisfies the threshold condition of level 2, then a node B1 is found in level 3, and a node B2 is found in level 2, then node devices of two B1 and B2 are associated together; if the distance range meets the threshold condition of level 1, B2, C1 can be found together by searching from top to bottom.
The threshold condition of level 0 is set to a0, the threshold condition of level 1 is set to a1, the threshold condition of level 2 is set to a2, and the threshold condition of level 3 is set to a3.
The process of connecting the vehicle equipment node and the portrait equipment node according to a certain rule comprises the following steps: the distance from the portrait equipment node to all the vehicle equipment nodes is calculated through the longitude and latitude of the portrait equipment node and the longitude and latitude of all the vehicle equipment nodes, the vehicle equipment node and the portrait equipment node which meet the threshold condition a0 are connected according to a certain rule, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a0 start to perform traversal calculation under the threshold condition a1, the vehicle equipment node and the portrait equipment node which meet the threshold condition a1 are connected according to a certain rule, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a1 start to perform traversal calculation under the threshold condition a2, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a2 start to perform traversal calculation under the threshold condition a3, the vehicle equipment node and the portrait equipment node which meet the threshold condition a3 are connected according to a certain rule, and then the cycle is ended.
The method comprises the following steps of: the method comprises the steps of calculating the distance from a detection device node to all vehicle device nodes through the longitude and latitude of the detection device node and the longitude and latitude of all vehicle device nodes, connecting the detection device node and the vehicle device node which meet a threshold value condition a0 according to a certain rule, starting traversing calculation on the threshold value condition a1 by the detection device node and the vehicle device node which do not meet the threshold value condition a0, connecting the detection device node and the vehicle device node which meet the threshold value condition a1 according to a certain rule, starting traversing calculation on the threshold value condition a2 by the detection device node and the vehicle device node which do not meet the threshold value condition a1, connecting the detection device node and the vehicle device node which do not meet the threshold value condition a2 according to a certain rule, starting traversing calculation on the threshold value condition a3 by the detection device node and the vehicle device node which do not meet the threshold value condition a3, and then ending circulation.
The process of connecting the code detection equipment node and the portrait equipment node according to a certain rule comprises the following steps: the method comprises the steps of calculating the distance from a detection device node to all portrait device nodes through the longitude and latitude of the detection device node and the longitude and latitude of all portrait device nodes, connecting the detection device node and the portrait device node which meet a threshold condition a0 according to a certain rule, starting traversing calculation on the threshold condition a1 by the detection device node and the portrait device node which do not meet the threshold condition a0, connecting the detection device node and the portrait device node which meet the threshold condition a1 according to a certain rule, starting traversing calculation on the threshold condition a2 by the detection device node and the portrait device node which do not meet the threshold condition a1, connecting the detection device node and the portrait device node which do not meet the threshold condition a2 according to a certain rule, starting traversing calculation on the threshold condition a3 by the detection device node and the portrait device node which do not meet the threshold condition a2, and then ending the cycle.
The basic information data of the equipment comprises equipment type, equipment number, equipment name and equipment longitude and latitude.
The process of constructing the association relation by the equipment is as follows:
s1, acquiring basic information data of equipment;
s2, the acquired data are stored in groups according to the types of the devices, and the basic information data of the devices of the same type are stored in a cache of the same device group;
step S3, after the data is successfully stored, synchronizing the basic information data query index of the corresponding equipment into an index cache;
step S4, turning to step S1 until all the devices are stored in the corresponding device group cache;
s5, taking a piece of data from the index cache, inquiring basic information data of corresponding equipment, and calculating to obtain all equipment sets of other types of the equipment within the acquisition radius range;
s6, performing virtual coupling calculation on the results of all the equipment sets, and storing the finally calculated association relation results;
s7, deleting the index from the index cache;
step S8, turning to step S5 until no data exists in the index cache;
and S9, constructing the virtual coupling relation of all the calculated devices into an association relation. The graph of the established association relationship is shown in fig. 2, for example:
taking A1 as a center point device, the associated class B device combination is [ { B1} ], and the associated class C device combination is [ { C1, C2} ];
taking B1 as a center point device, the associated A type device combination is [ { A1} ], and the associated C type device combination is [ { C1, C2} ];
taking C1 as a center point device, the associated A type device combination is [ { A1} ], and the associated B type device combination is [ { B1} ];
with C2 as the center point device, the associated class A device combination is [ { A1} ], and the associated class B device combination is [ { B1} ].
The virtual coupling relation of the equipment obtained by the algorithm has the advantages of dynamic adjustability, the acquisition range of each equipment can be influenced by factors such as equipment system, installation position and direction, acquisition rate and the like, ideal acquisition range condition parameters are obtained by carrying out weighted calculation on factors corresponding to equipment in a place, in different distance ranges, only the threshold condition of a query level is needed to be adjusted, the existing association relation of nodes in each level is not needed to be recalculated, the dynamic adjustability and the high reliability of the association relation between the equipment are realized, the association relation between all the equipment nodes in different types can be calculated once, the missing association relation does not occur, the searching speed is high, the searching is carried out from top to bottom, each level has a corresponding extremum, in most cases, global searching does not occur, the distributed level relation can be controlled by adjusting the threshold value, the expandability is good, the equipment nodes can be added and deleted at will, and the equipment combination relation obtained by calculating the algorithm can be adjusted in real time according to different scenes;
the track data is acquired by the equipment, so that whether the association relationship exists among different data can be indirectly acquired by utilizing the relationship among the equipment, the virtual coupling calculation is performed on three acquisition equipment such as a vehicle, a portrait and a detection code in advance to acquire the association relationship among the three different equipment, and the method for acquiring the data association relationship by utilizing the equipment association is simpler, more efficient and more accurate compared with the traditional method for directly searching the relationship according to the data, because the association relationship among the equipment can be indirectly considered as the strong association relationship among the data acquired by the equipment which is associated in the same time range, the association relationship among the three independent data such as the vehicle, the portrait and the detection code can be constructed through the equipment association;
the invention realizes the establishment of association relation among three independent track data of vehicles, figures and detection codes by using a virtual coupling mode of computing equipment, provides a data basis for the joint detection of case pieces by multiple technologies, and aims to describe and supplement information of possible case-involved persons by three-dimensional data of the vehicles, the people and the detection codes, thereby solving the problem that the detection work cannot be advanced due to the absence of certain data in the vehicles, the people and the detection codes by adopting a single technical means in case detection work.
It should be noted that the above list is only one specific embodiment of the present invention. It is obvious that the invention is not limited to the above embodiments, but that many variations are possible, and that in any case all variations that can be directly derived or suggested by a person skilled in the art from the disclosure of the invention shall be considered as the protective scope of the invention.
Claims (7)
1. A calculation method for virtual coupling of a vehicle, a portrait and a detection code device is characterized by comprising the following steps:
step one, setting a level 0, a level 1, a level 2 and a level 3, and setting threshold conditions for each level;
step two, forming an association relation by equipment, and then inserting the association relation into a level 0 as an associated equipment node, wherein the equipment is vehicle equipment or portrait equipment or detecting code equipment;
step three, connecting the vehicle equipment nodes and the portrait equipment nodes according to a certain rule;
fourthly, connecting the code detection equipment node and the vehicle equipment node according to a certain rule, and simultaneously connecting the code detection equipment node and the portrait equipment node according to a certain rule;
step five, searching downwards in sequence from the level 3 to the level 0 when searching the associated equipment, and finding out the node of the associated equipment;
and step six, when the associated equipment is removed, all the nodes of the associated equipment of the equipment are deleted from the hierarchy 0 to the hierarchy 3 in sequence, and meanwhile, the basic information data of the associated equipment are deleted.
2. The method according to claim 1, wherein the threshold condition of level 0 is set to a0, the threshold condition of level 1 is set to a1, the threshold condition of level 2 is set to a2, and the threshold condition of level 3 is set to a3.
3. The method for calculating virtual coupling between a vehicle, a portrait and a detecting device according to claim 2, wherein the process of connecting the vehicle device node and the portrait device node according to a certain rule is as follows: the distance from the portrait equipment node to all the vehicle equipment nodes is calculated through the longitude and latitude of the portrait equipment node and the longitude and latitude of all the vehicle equipment nodes, the vehicle equipment node and the portrait equipment node which meet the threshold condition a0 are connected according to a certain rule, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a0 start to perform traversal calculation under the threshold condition a1, the vehicle equipment node and the portrait equipment node which meet the threshold condition a1 are connected according to a certain rule, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a1 start to perform traversal calculation under the threshold condition a2, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a2 start to perform traversal calculation under the threshold condition a3, the vehicle equipment node and the portrait equipment node which do not meet the threshold condition a3 are connected according to a certain rule, and then the cycle is ended.
4. The method for calculating virtual coupling between a vehicle, a portrait and a detection device according to claim 3, wherein the process of connecting the detection device node and the vehicle device node according to a certain rule is as follows: the method comprises the steps of calculating the distance from a detection device node to all vehicle device nodes through the longitude and latitude of the detection device node and the longitude and latitude of all vehicle device nodes, connecting the detection device node and the vehicle device node which meet a threshold value condition a0 according to a certain rule, starting traversing calculation on the threshold value condition a1 by the detection device node and the vehicle device node which do not meet the threshold value condition a0, connecting the detection device node and the vehicle device node which meet the threshold value condition a1 according to a certain rule, starting traversing calculation on the threshold value condition a2 by the detection device node and the vehicle device node which do not meet the threshold value condition a1, connecting the detection device node and the vehicle device node which do not meet the threshold value condition a2 according to a certain rule, starting traversing calculation on the threshold value condition a3 by the detection device node and the vehicle device node which do not meet the threshold value condition a3, and then ending the cycle.
5. The method for calculating virtual coupling between a vehicle, a portrait and a detecting device according to claim 4, wherein the process of connecting the detecting device node and the portrait device node according to a certain rule is as follows: the method comprises the steps of calculating the distance from a detection device node to all portrait device nodes through the longitude and latitude of the detection device node and the longitude and latitude of all portrait device nodes, connecting the detection device node and the portrait device node which meet a threshold condition a0 according to a certain rule, starting traversing calculation on the threshold condition a1 by the detection device node and the portrait device node which do not meet the threshold condition a0, connecting the detection device node and the portrait device node which meet the threshold condition a1 according to a certain rule, starting traversing calculation on the threshold condition a2 by the detection device node and the portrait device node which do not meet the threshold condition a1, connecting the detection device node and the portrait device node which do not meet the threshold condition a2 according to a certain rule, starting traversing calculation on the threshold condition a3 by the detection device node and the portrait device node which do not meet the threshold condition a2, and then ending the cycle.
6. The method for calculating virtual coupling between a vehicle, a portrait and a detecting device according to claim 5, wherein the basic information data of the device includes a device type, a device number, a device name, and a device longitude and latitude.
7. The method for calculating virtual coupling between a vehicle, a portrait and a detecting device according to claim 6, wherein the process of forming the association relationship between the devices is as follows:
s1, acquiring basic information data of equipment;
s2, the acquired data are stored in groups according to the types of the devices, and the basic information data of the devices of the same type are stored in a cache of the same device group;
step S3, after the data is successfully stored, synchronizing the basic information data query index of the corresponding equipment into an index cache;
step S4, turning to step S1 until all the devices are stored in the corresponding device group cache;
s5, taking a piece of data from the index cache, inquiring basic information data of corresponding equipment, and calculating to obtain all equipment sets of other types of the equipment within the acquisition radius range;
s6, performing virtual coupling calculation on the results of all the equipment sets, and storing the finally calculated association relation results;
s7, deleting the index from the index cache;
step S8, turning to step S5 until no data exists in the index cache;
and S9, constructing the virtual coupling relation of all the calculated devices into an association relation.
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