CN112444833A - Method and device for identifying stolen electric vehicle storage points according to loss report records of electric vehicles with locators - Google Patents

Method and device for identifying stolen electric vehicle storage points according to loss report records of electric vehicles with locators Download PDF

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CN112444833A
CN112444833A CN202011226847.3A CN202011226847A CN112444833A CN 112444833 A CN112444833 A CN 112444833A CN 202011226847 A CN202011226847 A CN 202011226847A CN 112444833 A CN112444833 A CN 112444833A
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electric vehicle
stolen
point
face image
locator
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卢雄峰
傅锡才
蓝胜胜
胡雨露
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Zhejiang Baojutong Information Technology Co ltd
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Zhejiang Baojutong Information Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/393Trajectory determination or predictive tracking, e.g. Kalman filtering
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation

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Abstract

The utility model provides a method and a device for identifying stolen electric vehicle storage points according to loss report records of an electric vehicle equipped with a locator, aiming at solving the problem that the electric vehicle is difficult to retrieve after being stolen in the prior art. The method for identifying the storage point of the stolen electric vehicle according to the loss report record of the electric vehicle with the locator comprises the following steps: receiving a loss report record of the electric vehicle, wherein the loss report record comprises vehicle information, loss time and loss place, and the vehicle information comprises the serial number of a locator of the electric vehicle; acquiring the track of the stolen electric vehicle according to the electric vehicle positioner with the corresponding number; acquiring a first stopping point of the stolen electric vehicle according to the track of the stolen electric vehicle; and acquiring an overlapped stopping point of the stolen electric vehicle, which is overlapped at the first stopping point. The first stay point of stolen back electric motor car is obtained according to the orbit, and first stay point is the stolen back of electric motor car deposit the point basically, and the car owner of being convenient for or police are tracked the position of electric motor car and are detained the depositing of the electric motor car stolen, are convenient for retrieve the electric motor car.

Description

Method and device for identifying stolen electric vehicle storage points according to loss report records of electric vehicles with locators
Technical Field
The disclosure belongs to the technical field of electric vehicle theft prevention, and particularly relates to a method and a device for identifying stolen electric vehicle storage points according to loss report records of an electric vehicle with a locator.
Background
The electric vehicle is a main vehicle for many people at present, but is also a target easy to steal by criminals, and once the electric vehicle is stolen, the electric vehicle is difficult to retrieve; because the stolen back of electric motor car exists, can't be good at the electric motor car and trail, can't confirm the face and feature of stealing personnel, can't find the nest some scheduling problems that the electric motor car was deposited, the electric motor car is hardly given for change.
Disclosure of Invention
The utility model provides a method and a device for identifying stolen electric vehicle storage points according to loss report records of an electric vehicle equipped with a locator, aiming at solving the problem that the electric vehicle is difficult to retrieve after being stolen in the prior art.
In order to solve the technical problem, the technical scheme adopted by the disclosure is as follows:
in a first aspect, the present disclosure provides a method for identifying a stolen electric vehicle storage site according to a loss report record of an electric vehicle equipped with a locator, comprising the steps of:
a101, receiving a loss report record of an electric vehicle, wherein the loss report record comprises vehicle information, loss time and a loss place, and the vehicle information comprises the serial number of a locator of the electric vehicle;
a102, acquiring a track of the stolen electric vehicle according to the electric vehicle positioner with the corresponding number;
a103, acquiring a first stop point of the stolen electric vehicle according to the track of the stolen electric vehicle;
and A104, acquiring an overlapped stopping point at which the stolen electric vehicle is overlapped at the first stopping point.
In one possible design, the method for identifying a stolen electric vehicle storage site according to a loss report record of an electric vehicle equipped with a locator further comprises: and acquiring a second stopping point of the stolen electric vehicle, and acquiring an area where the second stopping points of the stolen electric vehicle are overlapped.
Based on the design, the first stopping point can be a storing point of the electric vehicle after being stolen, and the second stopping point can also be a storing point of the electric vehicle after being stolen; in addition, the second stopping point can be a point of sale after the electric vehicle is stolen, and the police can track the whole crime chain conveniently.
In one possible design, the stolen electric vehicle is a first stopping point of the stolen electric vehicle at a position where the first stopping time of the stolen electric vehicle exceeds the set time T; and the stolen electric vehicle is a second stopping point of the stolen electric vehicle at the position where the second stopping time of the stolen electric vehicle exceeds the set time T.
Based on the design, the setting time T can eliminate the influence on the judgment of the storage point due to temporary and short stop.
In one possible design, acquiring an overlapping parking point where a stolen electric vehicle overlaps at a first parking point comprises: numbering each newly added first stop point, and numbering the n first stop points as Dn
After the first stop point of the newly-added stolen electric vehicle is determined, the distance between the newly-added stolen electric vehicle and the determined first stop point of each stolen electric vehicle is calculated, and the minimum distance S is obtainedkAnd a first stopping point D with the minimum distance with the first stopping point of the newly-added stolen electric vehiclek
If the minimum distance SkIf the distance is less than or equal to the set distance S, the newly added first stopping point and the first stopping point D of the stolen electric vehiclekOverlapping and sharing a number DkFirst dwell point DkMarking as an overlap dwell point;
if the minimum distance SkIf the distance is greater than the set distance S, the newly added first stop point of the stolen electric vehicle and the first stop point D of the electric vehicle determined to be stolennNo overlap and numbered Dn+1First dwell point DkMarking as an overlap dwell point;
wherein n is a positive integer, and k is a positive integer between 1 and n.
Based on the above design, by applying to each secondNumbering the stop points, combining the overlapped first stop points, calculating the distance between the newly added first stop point of the stolen electric vehicle and the determined first stop point of each stolen electric vehicle, and obtaining the minimum distance SkIf the minimum distance SkIf the distance is less than or equal to the set distance S, the newly added first stopping point and the first stopping point D of the stolen electric vehiclekOverlapping and sharing a number DkFirst dwell point DkThe mark is the overlap stop point, and through the preset set distance S, because the electric motor car is deposited together and also has certain position difference, in addition, the precision of location also has certain influence, and when the first stop point of two different electric motor cars was parked in a storage point, two first stop points also generally can not overlap completely, so need set up certain tolerance.
In one possible design, the number of overlapping times of the overlapping stop points is counted, and the number of electric vehicles of which the first stop points fall into the overlapping stop points is counted and prompted.
Based on the design, if the number of times of overlapping is more, the suspicion that the stolen electric vehicle is at the overlapping stop point is more, the attention of a police is required to be attracted, and the alarm can be given.
In one possible design, the method for identifying a stolen electric vehicle storage site according to a loss report record of an electric vehicle equipped with a locator further comprises: calling a monitoring camera on the track of the stolen electric vehicle, acquiring a monitoring video of the stolen electric vehicle, intercepting a face image of a thief and uploading the face image to a server;
matching the face image of the stolen person with each stored face image by adopting a face recognition algorithm; if the matching fails, adding the face image of the stolen person into a new face image and storing the new face image; and if the matching is successful, finding out the successfully matched face image.
Based on the design, the face information of stolen personnel can be acquired through the monitoring camera on the track of the stolen electric vehicle, so that the police can conveniently capture the face information, and the trend of the electric vehicle can be tracked and recovered; in addition, the newly captured face image is compared with the stored face image, whether the same person steals for many times can be judged, the police can catch the stolen face image for many times conveniently, and the stolen face image and the stored face image can also be used for deducing the stock point of the stolen electric vehicle and recovering more electric vehicles.
In one possible design, the method for identifying a stolen electric vehicle storage site according to a loss report record of an electric vehicle equipped with a locator further comprises: when the face image of the stolen person is matched with each stored face image by adopting a face recognition algorithm, the method specifically comprises the following steps:
identifying the characteristics of the face image of the stolen person, and calculating the Euclidean distance between the characteristics of the face image of the stolen person and the characteristics of each stored face image; if the Euclidean distance is smaller than or equal to the threshold value, matching is successful, and finding out the successfully matched face image; if the Euclidean distance is larger than the threshold value, matching fails, and the features of the face image of the stolen person are formed into a new template and stored.
Based on the design, whether the two face images are the same person can be judged by calculating the characteristics of the face images through the Euclidean distance.
In a second aspect, the present disclosure provides an apparatus for identifying a theft area from a loss report record of an electric vehicle equipped with a locator, comprising:
the system comprises a receiving unit, a judging unit and a processing unit, wherein the receiving unit is used for receiving an electric vehicle loss report record, the loss report record comprises vehicle information, loss time and a loss place, and the vehicle information comprises an electric vehicle locator number;
the track acquisition unit is used for acquiring the track of the stolen electric vehicle according to the electric vehicle positioner with the corresponding number;
the first stopping point acquiring unit is used for acquiring a first stopping point of the stolen electric vehicle according to the track of the stolen electric vehicle;
the overlapping stay point acquisition unit acquires an overlapping stay point at which the stolen electric vehicle overlaps at the first stay point.
In a third aspect, the present disclosure provides a computer apparatus comprising a memory communicatively coupled to store a computer program, a processor communicatively coupled to receive and transmit messages, and a transceiver communicatively coupled to read the computer program and execute a method as described above for identifying a stolen electric vehicle deposit point based on a loss report record for an electric vehicle configured with a locator.
In a fourth aspect, the present disclosure provides a computer readable storage medium having stored thereon instructions that, when executed on a computer, perform a method of identifying a stolen electric vehicle deposit site from a loss of registration record for an electric vehicle configured with a locator, as described above.
The beneficial effect of this disclosure does:
after the electric vehicle is stolen, after a loss report record of a vehicle owner is received, an electric vehicle positioner of the electric vehicle is determined, a track of the electric vehicle after the electric vehicle is stolen can be obtained according to the electric vehicle positioner, a first stopping point of the electric vehicle after the electric vehicle is stolen is obtained according to the track of the electric vehicle after the electric vehicle is stolen, the first stopping point is basically a storage point of the electric vehicle after the electric vehicle is stolen, the vehicle owner or a police can conveniently track the position of the electric vehicle and the storage pit of the stolen electric vehicle, the activity area of a thief can be conveniently determined, and the electric vehicle can be conveniently retrieved and the thief can be; the electric motor car of obtaining after stolen takes place the overlapping stay point of overlapping at first stay point, explains that the stolen electric motor car of at least more than two is deposited in this department, then explains that the overlapping stay point deposits the point for suspicion great stolen electric motor car, and in addition, the stolen electric motor car that the overlapping stay point has the locator has at least two, then explains that the probability still deposits some stolen electric motor cars that do not have the locator, is favorable to the police to find back stolen electric motor car.
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In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present disclosure and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings may be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow diagram in the present disclosure.
Fig. 2 is a schematic structural diagram of a computer device in the present disclosure.
Detailed Description
The technical solution in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. It should be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not intended to limit the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without inventive step, are within the scope of the disclosure.
In a first aspect, the present disclosure provides a method for identifying a stolen electric vehicle storage site according to a loss report record of an electric vehicle equipped with a locator, comprising the steps of:
a101, receiving a loss report record of an electric vehicle, wherein the loss report record comprises vehicle information, loss time and a loss place, and the vehicle information comprises the serial number of a locator of the electric vehicle;
the loss report record is input by a vehicle owner through a client, and the client is suitable for a user who has already made electric vehicle registration record at the client between losses and is provided with a locator in the electric vehicle;
the vehicle information comprises but is not limited to a registered license plate number, owner identity information and an electric vehicle locator number;
wherein, the locator can adopt big dipper locator or GPS locator etc..
A102, acquiring a track of the stolen electric vehicle according to the electric vehicle positioner with the corresponding number;
the track of the stolen electric vehicle is the track after the loss time, and the track is obtained through the electric vehicle positioner.
A103, acquiring a first stop point of the stolen electric vehicle according to the track of the stolen electric vehicle;
the method for specifically obtaining the stay point according to the trajectory belongs to the prior art, and is not described herein again, and a Beidou GPS trajectory stay analysis method and the like as described in patent No. 2017107906468 may be adopted to obtain the position where the positioning object stays and the stay time at the position.
Wherein, first stay point is stolen the back of electric motor car, the position that the first time takes place to stop.
A104, acquiring an overlapped stop point of the stolen electric vehicle, which is overlapped at the first stop point;
the overlapping stopping points are the positions where at least two electric vehicles which are stolen for the first time stop at the same place and are at least stopped at the same place; if more than two first stop points of the stolen electric vehicles stop at the same place, the probability indicates that the overlapped stop points belong to the nest points of crimes.
On the basis of the scheme, the method for identifying the stolen electric vehicle storage point according to the loss report record of the electric vehicle with the locator further comprises the following steps: and acquiring a second stopping point of the stolen electric vehicle, and acquiring an area where the second stopping points of the stolen electric vehicle are overlapped.
After the electric vehicle is stolen, the electric vehicle can not be sold at the first time basically, and is generally parked in a warehouse of a thief or directly transferred to a point of sale, and the warehouse or the point of sale of the thief belongs to a first parking point; in some cases, the theft personnel are stored in a warehouse and then sold to a point of sale, the first stop point is the warehouse of the theft personnel, and the second stop point is the point of sale; this allows to find the point of sale involved in the crime.
On the basis of the scheme, the stolen electric vehicle is a first stopping point of the stolen electric vehicle at the position where the first stopping time of the stolen electric vehicle exceeds the set time T; the stolen electric vehicle is a second stopping point of the stolen electric vehicle at the position where the second stopping time of the stolen electric vehicle exceeds the set time T;
if the electric vehicle stays for too short time, the stolen person possibly stops temporarily, so a time T needs to be set, the time T can be selected from 0.5 day, 1 day or 2 days and the like, and corresponding adjustment is carried out according to the stealing mode and habit of the stolen person in different areas.
On the basis of any one of the above schemes, acquiring an overlapped parking point where the stolen electric vehicle is overlapped at the first parking point, comprises:
numbering each newly added first stop point, and numbering the n first stop points as Dn
After the first stop point of the newly-added stolen electric vehicle is determined, the distance between the newly-added stolen electric vehicle and the determined first stop point of each stolen electric vehicle is calculated, and the minimum distance S is obtainedkAnd a first stopping point D with the minimum distance with the first stopping point of the newly-added stolen electric vehiclek
If the minimum distance SkIf the distance is less than or equal to the set distance S, the newly added first stopping point and the first stopping point D of the stolen electric vehiclekOverlapping and sharing a number DkThe first dwell point Dk is marked as an overlap dwell point;
if the minimum distance SkIf the distance is greater than the set distance S, the newly added first stop point of the stolen electric vehicle and the first stop point D of the electric vehicle determined to be stolennNo overlap and numbered Dn+1First dwell point DkMarking as an overlap dwell point;
wherein n is a positive integer, and k is a positive integer between 1 and n.
The set distance S may be 10m, 12m, 15m, or the like, and the general range does not exceed the size of a small warehouse.
On the basis of any scheme, the number of overlapping times of the overlapping stop points is counted, the number of the electric vehicles of which the first stop points fall into the overlapping stop points is counted, and prompt is given.
Overlap 1 time, the electric motor car quantity that first stopping point falls into overlapping stopping point is 2, overlaps 2 times, and the electric motor car quantity that first stopping point falls into overlapping stopping point is 3, analogizes in proper order. The more the number of overlapping times, the more the number of stolen electric vehicles stopped at the overlapping stop point. The indication may be by color, number, etc.
On the basis of any scheme, the method for identifying the stolen electric vehicle storage point according to the loss report record of the electric vehicle with the locator further comprises the following steps: calling a monitoring camera on the track of the stolen electric vehicle, acquiring a monitoring video of the stolen electric vehicle, intercepting a face image of a thief and uploading the face image to a server;
matching the face image of the stolen person with each stored face image by adopting a face recognition algorithm; if the matching fails, adding the face image of the stolen person into a new face image and storing the new face image; and if the matching is successful, finding out the successfully matched face image.
The method comprises the following steps of calling a monitoring camera on a track of a stolen electric vehicle, obtaining a monitoring video of the stolen electric vehicle, intercepting a face image of a thief and uploading the face image to a server; the face image capturing device is used for capturing face images of stolen people, and the face images are captured manually.
The face recognition algorithm may adopt an existing face recognition algorithm, for example: an identification algorithm based on human face characteristic points, an identification algorithm based on a template, an identification algorithm based on a whole human face image and the like; specifically, the face recognition method disclosed in patent No. 2013107530803; in the present disclosure, the face recognition is performed by the prior art, and is not improved, and is not described herein again.
On the basis of the scheme, when the face image of the stolen person is matched with each stored face image by adopting a face recognition algorithm, the method specifically comprises the following steps: identifying the characteristics of the face image of the stolen person, and calculating the Euclidean distance between the characteristics of the face image of the stolen person and the characteristics of each stored face image; if the Euclidean distance is smaller than or equal to the threshold value, matching is successful, and finding out the successfully matched face image; if the Euclidean distance is larger than the threshold value, matching fails, and the features of the face image of the stolen person are formed into new face image features and stored.
The features of the face image refer to face information features of a person, including geometric features and/or characterization features; geometric features include, but are not limited to, geometric relationships such as distances, areas, and angles between facial features such as eyes, nose, and mouth; the characterization features are global or local features extracted by algorithms such as an LBP algorithm and the like by utilizing gray information of the face image.
The Euclidean distance algorithm comprises the following steps: an image matrix is provided with n elements (n pixel points), n element values (x1, x 2.., xn) are used for forming a feature group (all pixel points in the pixel point matrix) of the image, the feature group forms an n-dimensional space, feature codes (each pixel point) in the feature group form a numerical value of each dimension, namely x1 (a first pixel point) corresponds to one dimension, x2 (a second pixel point) corresponds to two dimensions,.., and xn (an nth pixel point) corresponds to n dimensions. In an n-dimensional space, two image matrixes form a point respectively, and then the distance between the two points is calculated by utilizing a mathematical Euclidean distance formula, wherein the image with the minimum distance is the best matched image.
Euclidean distance formula:
point a ═ x1, x 2.., xn)
Point B ═ y1 (y 2.., yn)
AB^2=(x1-y1)^2+(x2-y2)^2+...+(xn-yn)^2
AB is the distance between the points in the two multidimensional spaces a, B.
In a second aspect, the present disclosure provides an apparatus for identifying a theft area from a loss report record of an electric vehicle equipped with a locator, comprising:
the system comprises a receiving unit, a judging unit and a processing unit, wherein the receiving unit is used for receiving an electric vehicle loss report record, the loss report record comprises vehicle information, loss time and a loss place, and the vehicle information comprises an electric vehicle locator number;
the track acquisition unit is used for acquiring the track of the stolen electric vehicle according to the electric vehicle positioner with the corresponding number;
the first stopping point acquiring unit is used for acquiring a first stopping point of the stolen electric vehicle according to the track of the stolen electric vehicle;
the overlapping stay point acquisition unit acquires an overlapping stay point at which the stolen electric vehicle overlaps at the first stay point.
In a third aspect, referring to fig. 2, the present disclosure provides a computer device for executing the method for identifying a stolen electric vehicle storage point according to a loss report record of an electric vehicle equipped with a locator in the first aspect, comprising a memory, a processor and a transceiver, which are sequentially connected in communication, wherein the memory is used for storing a computer program, the transceiver is used for transceiving messages, and the processor is used for reading the computer program and executing the method for identifying a stolen electric vehicle storage point according to a loss report record of an electric vehicle equipped with a locator in the first aspect. For example, the Memory may include, but is not limited to, a Random-Access Memory (RAM), a Read-Only Memory (ROM), a Flash Memory (Flash Memory), a First-in First-out (FIFO), and/or a First-in Last-out (FILO), and the like; the processor may not be limited to the use of a microprocessor model number STM32F105 family; the transceiver may be, but is not limited to, a Wireless Fidelity (WiFi), a Wireless transceiver, a bluetooth Wireless transceiver, a General Packet Radio Service (GPRS) Wireless transceiver, a ZigBee protocol (ZigBee) Wireless transceiver, and/or the like. In addition, the computer device may also include, but is not limited to, a power module, a display screen, and other necessary components.
The working process, working details and technical effects of the foregoing computer device provided in the present disclosure may refer to any design of the above first aspect, and the method for identifying a stolen electric vehicle storage point according to a loss report record of an electric vehicle equipped with a locator is not described herein again.
In a fourth aspect, the present disclosure provides a computer-readable storage medium storing the method for preventing multiple persons from writing data to be covered included in any one of the designs of the first aspect, that is, the computer-readable storage medium has stored thereon instructions that, when executed on a computer, perform the method for identifying a stolen electric vehicle deposit point according to a loss report record of an electric vehicle equipped with a locator as in any one of the possible designs of the first aspect. The computer-readable storage medium refers to a carrier for storing data, and may include, but is not limited to, floppy disks, optical disks, hard disks, flash memories, flash disks and/or Memory sticks (Memory sticks), etc., and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
The working process, working details and technical effects of the foregoing computer-readable storage medium provided in the present disclosure may refer to any one of the methods that may be designed according to the loss report record of the electric vehicle equipped with the locator for identifying the stolen electric vehicle storage point in the above first aspect, and will not be described herein again.
The embodiments described above are merely illustrative, and may or may not be physically separate, if referring to units illustrated as separate components; if reference is made to a component displayed as a unit, it may or may not be a physical unit, and may be located in one place or distributed over a plurality of network units. Some or all of the elements can be selected according to actual needs to achieve the purpose of the disclosed solution. One of ordinary skill in the art can understand and implement it without inventive effort.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: modifications may be made to the embodiments described above, or equivalents may be substituted for some of the features described. And such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Finally, it should be noted that the present invention is not limited to the above alternative embodiments, and that various other forms of products can be obtained by anyone in light of the present invention. The above detailed description should not be taken as limiting the scope of the invention, which is defined in the claims, and which the description is intended to be interpreted accordingly.

Claims (10)

1. A method for identifying a stolen electric vehicle storage point according to a loss report record of an electric vehicle provided with a locator is characterized by comprising the following steps:
a101, receiving a loss report record of an electric vehicle, wherein the loss report record comprises vehicle information, loss time and a loss place, and the vehicle information comprises the serial number of a locator of the electric vehicle;
a102, acquiring a track of the stolen electric vehicle according to the electric vehicle positioner with the corresponding number;
a103, acquiring a first stop point of the stolen electric vehicle according to the track of the stolen electric vehicle;
and A104, acquiring an overlapped stopping point at which the stolen electric vehicle is overlapped at the first stopping point.
2. The method of claim 1, further comprising the step of identifying a stolen vehicle storage location based on a loss report record for a vehicle equipped with a locator, the method comprising:
and acquiring a second stopping point of the stolen electric vehicle, and acquiring an area where the second stopping points of the stolen electric vehicle are overlapped.
3. The method for identifying the storage point of the stolen electric vehicle according to the loss report record of the electric vehicle provided with the locator as claimed in claim 2, wherein the stolen electric vehicle is the first storage point of the stolen electric vehicle at the position where the first parking time of the stolen electric vehicle exceeds the set time T;
and the stolen electric vehicle is a second stopping point of the stolen electric vehicle at the position where the second stopping time of the stolen electric vehicle exceeds the set time T.
4. A method according to claim 1 or 3, wherein the step of obtaining the overlapped stopping point of the stolen electric vehicle overlapped at the first stopping point comprises:
numbering each newly added first stop point, and numbering the n first stop points as Dn
After the first stop point of the newly-added stolen electric vehicle is determined, the distance between the newly-added stolen electric vehicle and the determined first stop point of each stolen electric vehicle is calculated, and the minimum distance S is obtainedkAnd stopping with the newly-added stolen electric vehicle for the first timeFirst dwell point D with minimum point distancek
If the minimum distance SkIf the distance is less than or equal to the set distance S, the newly added first stopping point and the first stopping point D of the stolen electric vehiclekOverlapping and sharing a number DkFirst dwell point DkMarking as an overlap dwell point;
if the minimum distance SkIf the distance is greater than the set distance S, the newly added first stop point of the stolen electric vehicle and the first stop point D of the electric vehicle determined to be stolennNo overlap and numbered Dn+1First dwell point DkMarking as an overlap dwell point;
wherein n is a positive integer, and k is a positive integer between 1 and n.
5. The method for identifying the stolen electric vehicle storage points according to the loss report records of the electric vehicle equipped with the locator as claimed in claim 4, wherein the number of overlapping times of the overlapping stop points is counted and used for counting the number of the electric vehicles of which the first stop points fall into the overlapping stop points and prompting.
6. The method of claim 4, further comprising the step of identifying a stolen vehicle storage location based on a loss report record for a vehicle equipped with a locator, the method comprising: calling a monitoring camera on the track of the stolen electric vehicle, acquiring a monitoring video of the stolen electric vehicle, intercepting a face image of a thief and uploading the face image to a server;
matching the face image of the stolen person with each stored face image by adopting a face recognition algorithm; if the matching fails, adding the face image of the stolen person into a new face image and storing the new face image; and if the matching is successful, finding out the successfully matched face image.
7. The method of claim 6, further comprising the step of identifying a stolen vehicle storage location based on a loss report record for a vehicle equipped with a locator, the method comprising: when the face image of the stolen person is matched with each stored face image by adopting a face recognition algorithm, the method specifically comprises the following steps:
identifying the characteristics of the face image of the stolen person, and calculating the Euclidean distance between the characteristics of the face image of the stolen person and the characteristics of each stored face image; if the Euclidean distance is smaller than or equal to the threshold value, matching is successful, and finding out the successfully matched face image; if the Euclidean distance is larger than the threshold value, matching fails, and the features of the face image of the stolen person are formed into a new template and stored.
8. An apparatus for identifying a theft area based on a loss report record for an electric vehicle equipped with a locator, comprising:
the system comprises a receiving unit, a judging unit and a processing unit, wherein the receiving unit is used for receiving an electric vehicle loss report record, the loss report record comprises vehicle information, loss time and a loss place, and the vehicle information comprises an electric vehicle locator number;
the track acquisition unit is used for acquiring the track of the stolen electric vehicle according to the electric vehicle positioner with the corresponding number;
the first stopping point acquiring unit is used for acquiring a first stopping point of the stolen electric vehicle according to the track of the stolen electric vehicle;
the overlapping stay point acquisition unit acquires an overlapping stay point at which the stolen electric vehicle overlaps at the first stay point.
9. A computer device, characterized by: the stolen electric vehicle storage point identification method comprises a storage, a processor and a transceiver which are in communication connection, wherein the storage is used for storing a computer program, the transceiver is used for transceiving messages, the processor is used for reading the computer program and executing the stolen electric vehicle storage point identification method according to the loss report record of the electric vehicle provided with the locator in any one of claims 1-7.
10. A computer-readable storage medium characterized by: the computer readable storage medium has stored thereon instructions that, when executed on a computer, perform a method of identifying a stolen electric vehicle deposit site from a loss of record for an electric vehicle equipped with a locator according to any one of claims 1 to 7.
CN202011226847.3A 2020-11-05 2020-11-05 Method and device for identifying stolen electric vehicle storage points according to loss report records of electric vehicles with locators Pending CN112444833A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114548131A (en) * 2022-01-26 2022-05-27 摩拜(北京)信息技术有限公司 Battery positioning method, target vehicle, server and system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104866480A (en) * 2014-02-21 2015-08-26 支录奎 System based on vehicle and parking traveling trace positioning real-time searching
CN106339417A (en) * 2016-08-15 2017-01-18 浙江大学 Detection method for user group behavior rules based on stay places in mobile trajectory
CN107444341A (en) * 2017-07-25 2017-12-08 北京新能源汽车股份有限公司 A kind of automobile control method, device and automobile
CN108168562A (en) * 2018-01-31 2018-06-15 上海势航网络科技有限公司 A kind of positioning track stops point extracting method
CN108763553A (en) * 2018-06-01 2018-11-06 云南大学 Dwell point recognition methods based on density
CN109842850A (en) * 2018-12-28 2019-06-04 武汉依迅电子信息技术有限公司 Electric vehicle monitoring method and device
CN110766101A (en) * 2018-07-26 2020-02-07 杭州海康威视数字技术股份有限公司 Method and device for determining movement track
CN111178806A (en) * 2019-12-30 2020-05-19 北京四维智联科技有限公司 Method, device and equipment for searching vehicle stopping point

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104866480A (en) * 2014-02-21 2015-08-26 支录奎 System based on vehicle and parking traveling trace positioning real-time searching
CN106339417A (en) * 2016-08-15 2017-01-18 浙江大学 Detection method for user group behavior rules based on stay places in mobile trajectory
CN107444341A (en) * 2017-07-25 2017-12-08 北京新能源汽车股份有限公司 A kind of automobile control method, device and automobile
CN108168562A (en) * 2018-01-31 2018-06-15 上海势航网络科技有限公司 A kind of positioning track stops point extracting method
CN108763553A (en) * 2018-06-01 2018-11-06 云南大学 Dwell point recognition methods based on density
CN110766101A (en) * 2018-07-26 2020-02-07 杭州海康威视数字技术股份有限公司 Method and device for determining movement track
CN109842850A (en) * 2018-12-28 2019-06-04 武汉依迅电子信息技术有限公司 Electric vehicle monitoring method and device
CN111178806A (en) * 2019-12-30 2020-05-19 北京四维智联科技有限公司 Method, device and equipment for searching vehicle stopping point

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114548131A (en) * 2022-01-26 2022-05-27 摩拜(北京)信息技术有限公司 Battery positioning method, target vehicle, server and system

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