CN116630031A - Vehicle anti-disassembly early warning method, device, equipment and readable storage medium - Google Patents

Vehicle anti-disassembly early warning method, device, equipment and readable storage medium Download PDF

Info

Publication number
CN116630031A
CN116630031A CN202310809205.3A CN202310809205A CN116630031A CN 116630031 A CN116630031 A CN 116630031A CN 202310809205 A CN202310809205 A CN 202310809205A CN 116630031 A CN116630031 A CN 116630031A
Authority
CN
China
Prior art keywords
vehicle
deviation
distance
early warning
positioning device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310809205.3A
Other languages
Chinese (zh)
Inventor
张恩兵
郭世磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bank of China Ltd
Original Assignee
Bank of China Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bank of China Ltd filed Critical Bank of China Ltd
Priority to CN202310809205.3A priority Critical patent/CN116630031A/en
Publication of CN116630031A publication Critical patent/CN116630031A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03—Credit; Loans; Processing thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W30/00—Technologies for solid waste management
    • Y02W30/50—Reuse, recycling or recovery technologies
    • Y02W30/56—Reuse, recycling or recovery technologies of vehicles

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Finance (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Accounting & Taxation (AREA)
  • Educational Administration (AREA)
  • Technology Law (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

The invention relates to a vehicle anti-disassembly early warning method, device, equipment and readable storage medium, which can be applied to the field of mobile interconnection or the field of finance, wherein a plurality of positioning devices are arranged at the positions of a vehicle, which need to be monitored in an anti-disassembly way, and when the vehicle is required to be subjected to the anti-disassembly early warning in a designated area, such as the positions of an engine, a gearbox and the like. The method comprises the steps of firstly obtaining a corresponding positioning device set formed by each positioning device, then calculating a set of distance data representing the shape of the appointed area through each positioning data in the positioning device set, comparing the distance data set with a preset distance data set of the appointed area after the components in the appointed area are disassembled, determining the existing deviation and determining whether the disassembled risk exists in the appointed position based on the deviation, so that the risk identification of the disassembly of the vehicle components is realized, and more effective monitoring is achieved.

Description

Vehicle anti-disassembly early warning method, device, equipment and readable storage medium
Technical Field
The invention relates to the technical field of vehicle monitoring, in particular to a vehicle disassembly prevention early warning method, device and equipment and a readable storage medium.
Background
After a user mortgages a vehicle, a corresponding financial institution monitors the vehicle to avoid unnecessary risks brought by the vehicle in the use process, and generally, a GPS (global positioning system) positioning device is installed on the vehicle to monitor the vehicle. The monitoring means can only monitor the whole running state of the vehicle. And the risk of disassembling and selling the whole vehicle in the vehicle mortgage process cannot be monitored and early warned.
Disclosure of Invention
The invention provides a vehicle disassembly prevention early warning method, device, equipment and readable storage medium, which realize risk prediction and monitoring of vehicle disassembly.
In order to achieve the above purpose, the present invention provides the following technical solutions:
according to the invention, the vehicle disassembly prevention early warning method comprises the following steps:
determining at least one vehicle area needing anti-disassembly early warning;
acquiring a positioning device set corresponding to the at least one vehicle region;
obtaining a distance data set representing the shape of the at least one vehicle region based on the positioning data of each positioning device in the positioning device set;
and determining whether the vehicle is at risk of being disassembled according to the distance data set and a preset distance data set representing the shape of the at least one vehicle area.
Further, the determining whether the vehicle is at risk of being disassembled according to the distance data set and a preset distance data set characterizing the shape of the at least one vehicle region includes:
the distance data in the distance data set and the corresponding distance data in the preset distance data set are subjected to difference to obtain a deviation distance set;
and if the target deviation distance in the deviation distance set exceeds the corresponding first deviation threshold value, judging that the vehicle is in a risk of being disassembled.
Further, after determining that the vehicle is at risk of being disassembled, the method further includes:
determining a deviation level based on the target deviation distance, the corresponding first deviation threshold, and a second deviation threshold, the second deviation threshold being greater than the corresponding first deviation threshold;
and calling an early warning means corresponding to the deviation grade to perform early warning.
Further, the determining a deviation level based on the target deviation distance, the corresponding first deviation threshold, and a second deviation threshold includes:
when the target deviation distance is greater than the corresponding first deviation threshold and not greater than the second deviation threshold, the deviation grade is a first grade;
the calling and the corresponding early warning means of the deviation grade carry out early warning, which comprises the following steps:
and when the deviation grade is the first grade, sending reminding information to a user and marking the vehicle as a risk vehicle.
Further, the determining a deviation level based on the target deviation distance, the corresponding first deviation threshold, and the second deviation threshold further includes:
when the target deviation distance is greater than the second deviation threshold, the deviation grade is a second grade;
the calling and the corresponding early warning means of the deviation grade carry out early warning, which comprises the following steps:
and when the deviation grade is the second grade, starting a linkage alarm mechanism to alarm and track the vehicle.
Further, the obtaining a distance data set characterizing the shape of the at least one vehicle region based on the positioning data of each positioning device in the positioning device set includes:
calculating the distance between each positioning device and other positioning devices based on the positioning data of each positioning device in the positioning device set to obtain a preliminary calculated distance set;
and performing de-duplication on the preliminary calculation distance set according to the corresponding relation among the positioning devices in the positioning device set to obtain the distance data set.
Further, the positioning device set includes: at least two positioning devices, the at least two positioning devices being provided on the same component of the vehicle or each positioning device being provided on a different component.
According to the invention, the vehicle disassembly prevention early warning device comprises:
the early warning area determining module is used for determining at least one vehicle area needing anti-dismantling early warning;
the positioning device determining module is used for acquiring a positioning device set corresponding to the at least one vehicle area;
the distance calculation module is used for obtaining a distance data set representing the shape of the at least one vehicle area based on the positioning data of each positioning device in the positioning device set; and
and the risk judging module is used for determining whether the vehicle is at risk of being disassembled or not according to the distance data set and a preset distance data set representing the shape of the at least one vehicle area.
According to an embodiment of the present invention, there is provided an apparatus comprising: a memory and a processor;
the memory is used for storing programs;
the processor is used for executing the program to realize the steps of the vehicle anti-dismantling early warning method.
According to a specific embodiment of the present invention, there is provided a readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the vehicle anti-disassembly early warning method as described above.
According to the technical scheme, the vehicle anti-disassembly early warning method is disclosed, a plurality of positioning devices can be arranged at the positions of the vehicle, which need to be subjected to anti-disassembly monitoring, and when the appointed region of the vehicle needs to be subjected to anti-disassembly early warning, such as the positions of an engine, a gearbox and the like. The method comprises the steps of firstly obtaining a corresponding positioning device set formed by each positioning device, then calculating a set of distance data representing the shape of the appointed area through each positioning data in the positioning device set, comparing the distance data set with a preset distance data set of the appointed area after the components in the appointed area are disassembled, determining the existing deviation and determining whether the disassembled risk exists in the appointed position based on the deviation, so that the risk identification of the disassembly of the vehicle components is realized, and more effective monitoring is achieved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a vehicle anti-disassembly early warning method provided by an embodiment of the invention;
FIG. 2 is a distance diagram between positioning devices according to an embodiment of the present invention;
FIG. 3 is a block diagram of a vehicle anti-disassembly early warning device provided by an embodiment of the invention;
fig. 4 is a block diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The vehicle disassembly prevention early warning method provided by the invention can be applied to a server side, and the prediction of the vehicle disassembly risk is realized through processing the acquired data of the positioning device, so that a financial institution can realize the remote prediction of the vehicle disassembly risk. The method can be applied to uploading information after the corresponding risk information is obtained by the vehicle, and the specific application scene and mode are not limited.
Referring to fig. 1, an embodiment of the present invention provides a vehicle anti-disassembly early warning method, which may specifically include the following steps:
101. at least one vehicle area for which tamper-proof warning is required is determined.
The vehicle can be provided with a plurality of positioning devices in the areas where the vehicle needs to be subjected to anti-dismantling early warning, and the positioning devices can be arranged at the front, rear, left, right, upper, lower and core device parts of the vehicle generally, and can be arranged according to the difference of the early warning areas. When the core components in the vehicle body, such as the engine and the gearbox, need to be subjected to anti-disassembly early warning, positioning devices can be arranged on all mounting angles of the engine and the gearbox, namely, the positioning devices are arranged on the same component. Meanwhile, considering that the following steps need to judge the anti-disassembly early warning based on the distance between the positioning devices, the number of the positioning devices is generally not less than two, and the specific number of the positioning devices is not limited in the invention. Wherein the positioning device can be a laser positioning device, a GPS positioning device, an RTK accurate positioning device and the like which are well known in the art. One or more areas of the vehicle with the locating device may be selected as areas for tamper-evident warning.
102. A set of positioning devices corresponding to at least one vehicle region is obtained.
After determining the vehicle area where the anti-disassembly early warning is required, such as the engine of the vehicle, the positioning device set for performing the engine positioning early warning can be determined according to the mapping relation of the positioning devices determined in advance.
103. A set of distance data characterizing the shape of at least one vehicle region is obtained based on the positioning data of each positioning device in the set of positioning devices.
And calculating the shape data of the vehicle region from the positioning data uploaded by each positioning device in the positioning device set to obtain a plurality of distance data capable of representing the shape of the region. Taking the engine as an example, referring to fig. 2, positioning devices are provided at all of the mounting positions where the engine contacts the vehicle, and a total of 4 positioning devices are provided. A rectangle-like shape is formed among the 4 positioning devices, and 6 distance data sets (four edges plus two diagonal lines) capable of representing the shape can be obtained from the positioning data of the 4 positioning devices. Similarly, the positioning devices provided at different positions may be disassembled based on the distance set of the formed shape.
104. And determining whether the vehicle is at risk of being disassembled according to the distance data set and the preset distance data set representing the shape of at least one vehicle area.
And comparing the obtained distance data set with a preset distance data set of the area, and judging whether the disassembled risk exists or not by counting the logarithm of deviation data and the deviation degree. If the size of the engine corresponding to the automobile model is determined, if a mortgage person illegally refits the engine, the deviation of the distance monitoring of the positioning device is necessarily triggered, so that the risk of illegal disassembly of the mortgage vehicle is confirmed, early warning is timely carried out, and accurate monitoring and prediction of the vehicle disassembly risk are realized.
As a possible implementation manner of the foregoing embodiment, the specific process of determining whether the vehicle is at risk of being disassembled according to the distance data set and the preset distance data set characterizing the shape of at least one vehicle region may include:
201. and the distance data in the distance data set is differenced with the corresponding distance data in the preset distance data set, so that a deviation distance set is obtained.
202. And if the target deviation distance in the deviation distance set exceeds the corresponding first deviation threshold value, judging that the vehicle is in risk of being disassembled.
Specifically, referring to fig. 2, taking an engine as an example, 6 distance values exist among 4 positioning devices arranged at an engine part, comparing the 6 distance values with 6 distance values in a preset distance data set in a one-to-one correspondence manner, further obtaining deviation values of the distance values, comparing the 6 deviation values with corresponding first deviation thresholds, and judging that the risk of disassembly exists when the deviation values exceed the corresponding first deviation thresholds, otherwise, judging that the risk of disassembly does not exist.
Wherein, consider that the positioner probably appears damaging or reasonable daily maintenance because of the time is longer, can have the location deviation. The first deviation threshold may be set according to the actual measurement requirement to set a corresponding redundant space so as to reduce the positioning deviation caused by the actual measurement requirement, and generally the first deviation threshold may be set according to the normal loss deviation average value information ave and the maximum deviation value max information corresponding to different model vehicle types, different years and different components obtained through historical collection, where the first deviation threshold may be set to ave×50++max×50%. Thereby realizing the maximum guarantee of the accuracy and reliability of the distance data obtained by the positioning data. Of course, those skilled in the art may set other first deviation threshold values as needed, and the present invention is not limited thereto.
In order to further optimize the technical scheme, corresponding risk early warning is carried out on different risk levels, so that the diversity and reliability of early warning are realized. After determining that the vehicle is at risk of being disassembled, the method further comprises the following steps:
501. a bias level is determined based on the target bias distance, a corresponding first bias threshold, and a second bias threshold that is greater than the corresponding first bias threshold.
502. And calling an early warning means corresponding to the deviation grade to perform early warning.
Specifically, the second deviation threshold may be set to a maximum deviation value max, and when the target deviation distance is greater than ave×50++max×50% and not greater than max, the deviation level may be determined to be the first level. At a first level, the vehicle region may be initially considered to be at risk of disassembly, and attention and marking may continue.
The corresponding mode of operation may be selected to send a reminder to the user and to mark the vehicle as a risk vehicle. The vehicle can be automatically warned and paid attention to on the server side,
when the target offset distance is greater than the maximum offset value max, then the offset level may be determined to be a second level. The vehicle can be determined to be disassembled under the level, and then the linkage alarm mechanism can be directly started to alarm and track the vehicle. The control of the disassembled vehicle is realized as soon as possible, and the loss of a financial institution is reduced.
It will be appreciated that other criteria may be used by those skilled in the art for grading the deviations, and are not limited in this regard.
As a possible implementation of the above embodiment, the calculation of the distance data set may specifically include the following steps:
601. and calculating the distance between each positioning device and other positioning devices based on the positioning data of each positioning device in the positioning device set to obtain a preliminary calculated distance set.
602. And removing the duplication of the preliminary calculation distance set according to the corresponding relation among the positioning devices in the positioning device set to obtain a distance data set.
Specifically, referring to fig. 2, taking calculation of the distance data set of the engine as an example, distances between each positioning device and other positioning devices can be calculated respectively, so that 12 total distance values can be obtained, 6 repeated distance values are removed, and the remaining 6 distance values are obtained to form the distance data set. And further, the simple and rapid acquisition of the distance data set is realized, and the speed of acquiring the deviation value is increased.
Of course, the number of the required distance values can be determined directly according to the shape formed by the positioning devices, and then the positioning data of the corresponding positioning devices are called to directly calculate. The invention is not limited in this regard as to other ways of calculation.
Based on the same design concept, referring to fig. 3, the embodiment of the invention further provides a vehicle disassembly prevention early warning device, which can implement each step of the vehicle disassembly prevention early warning method during operation, and the device can include:
the early warning area determining module 301 is configured to determine at least one vehicle area in which an anti-disassembly early warning is required.
The positioning device determining module 302 is configured to obtain a set of positioning devices corresponding to at least one vehicle region.
The distance calculation module 303 is configured to obtain a distance data set characterizing a shape of at least one vehicle region based on positioning data of each positioning device in the positioning device set. And
the risk determination module 304 is configured to determine whether the vehicle is at risk of being disassembled according to the distance data set and a preset distance data set that characterizes a shape of at least one vehicle region.
Further, the risk determination module 304 is specifically configured to perform a difference between the distance data in the distance data set and the corresponding distance data in the preset distance data set, so as to obtain a deviation distance set.
And if the target deviation distance in the deviation distance set exceeds the corresponding first deviation threshold value, judging that the vehicle is in risk of being disassembled.
Further, the method also comprises a grade determination module for determining a grade of deviation based on the target deviation distance, a corresponding first deviation threshold value, and a second deviation threshold value, the second deviation threshold value being greater than the corresponding first deviation threshold value.
And calling an early warning means corresponding to the deviation grade to perform early warning.
And when the target deviation distance is larger than the corresponding first deviation threshold value and not larger than the second deviation threshold value, the deviation grade is the first grade.
And when the deviation grade is the first grade, sending reminding information to the user and marking the vehicle as a risk vehicle.
And when the target deviation distance is larger than the second deviation threshold value, the deviation grade is a second grade.
And when the deviation grade is the second grade, starting a linkage alarm mechanism to alarm and track the vehicle.
Further, the distance calculating module 303 is specifically configured to calculate the distance between each positioning device and other positioning devices based on the positioning data of each positioning device in the positioning device set, so as to obtain a preliminary calculated distance set.
And removing the duplication of the preliminary calculation distance set according to the corresponding relation among the positioning devices in the positioning device set to obtain a distance data set.
Further, the positioning device set includes: at least two positioning devices, at least two positioning devices being provided on the same component of the vehicle, or each positioning device being provided on a different component.
The vehicle anti-disassembly early warning device has the same beneficial effects as the vehicle anti-disassembly early warning method provided by the embodiment, and the specific implementation manner of the vehicle anti-disassembly early warning device can refer to the implementation manner of the vehicle anti-disassembly early warning method and is not repeated here.
Referring to fig. 4, an embodiment of the present invention also provides an apparatus, which may include: a memory 401 and a processor 402.
A memory 401 for storing a program.
And a processor 402 for executing the program to implement the steps of the vehicle anti-disassembly early warning method as described above.
The embodiment of the invention also provides a readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the steps of the vehicle anti-disassembly early warning method described in the above embodiment.
It should be noted that the vehicle anti-disassembly early warning method, the device, the equipment and the readable storage medium provided by the invention can be used in the mobile interconnection field or the financial field. The foregoing is merely an example, and the application fields of the vehicle anti-disassembly early warning method, the device, the equipment and the readable storage medium provided by the invention are not limited.
For the foregoing method embodiments, for simplicity of explanation, the methodologies are shown as a series of acts, but one of ordinary skill in the art will appreciate that the present invention is not limited by the order of acts, as some steps may, in accordance with the present invention, occur in other orders or concurrently. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. For the apparatus class embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference is made to the description of the method embodiments for relevant points.
The steps in the method of each embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs, and the technical features described in each embodiment can be replaced or combined.
The modules and the submodules in the device and the terminal of the embodiments of the invention can be combined, divided and deleted according to actual needs.
In the embodiments provided in the present invention, it should be understood that the disclosed terminal, apparatus and method may be implemented in other manners. For example, the above-described terminal embodiments are merely illustrative, and for example, the division of modules or sub-modules is merely a logical function division, and there may be other manners of division in actual implementation, for example, multiple sub-modules or modules may be combined or integrated into another module, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules or sub-modules illustrated as separate components may or may not be physically separate, and components that are modules or sub-modules may or may not be physical modules or sub-modules, i.e., may be located in one place, or may be distributed over multiple network modules or sub-modules. Some or all of the modules or sub-modules may be selected according to actual needs to achieve the purpose of the embodiment.
In addition, each functional module or sub-module in the embodiments of the present invention may be integrated in one processing module, or each module or sub-module may exist alone physically, or two or more modules or sub-modules may be integrated in one module. The integrated modules or sub-modules may be implemented in hardware or in software functional modules or sub-modules.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software unit executed by a processor, or in a combination of the two. The software elements may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Claims (10)

1. The vehicle disassembly prevention early warning method is characterized by comprising the following steps of:
determining at least one vehicle area needing anti-disassembly early warning;
acquiring a positioning device set corresponding to the at least one vehicle region;
obtaining a distance data set representing the shape of the at least one vehicle region based on the positioning data of each positioning device in the positioning device set;
and determining whether the vehicle is at risk of being disassembled according to the distance data set and a preset distance data set representing the shape of the at least one vehicle area.
2. The method of claim 1, wherein said determining whether said vehicle is at risk of being disassembled based on said distance data set and a preset distance data set characterizing a shape of said at least one vehicle region comprises:
the distance data in the distance data set and the corresponding distance data in the preset distance data set are subjected to difference to obtain a deviation distance set;
and if the target deviation distance in the deviation distance set exceeds the corresponding first deviation threshold value, judging that the vehicle is in a risk of being disassembled.
3. The method of claim 2, further comprising, after determining that the vehicle is at risk of being disassembled:
determining a deviation level based on the target deviation distance, the corresponding first deviation threshold, and a second deviation threshold, the second deviation threshold being greater than the corresponding first deviation threshold;
and calling an early warning means corresponding to the deviation grade to perform early warning.
4. A method according to claim 3, wherein said determining a deviation class based on said target deviation distance, said corresponding first deviation threshold and second deviation threshold comprises:
when the target deviation distance is greater than the corresponding first deviation threshold and not greater than the second deviation threshold, the deviation grade is a first grade;
the calling and the corresponding early warning means of the deviation grade carry out early warning, which comprises the following steps:
and when the deviation grade is the first grade, sending reminding information to a user and marking the vehicle as a risk vehicle.
5. The method of claim 4, wherein the determining a bias level based on the target bias distance, the corresponding first bias threshold, and a second bias threshold, further comprises:
when the target deviation distance is greater than the second deviation threshold, the deviation grade is a second grade;
the calling and the corresponding early warning means of the deviation grade carry out early warning, which comprises the following steps:
and when the deviation grade is the second grade, starting a linkage alarm mechanism to alarm and track the vehicle.
6. The method of claim 1, wherein the deriving a set of distance data characterizing the shape of the at least one vehicle region based on positioning data of each positioning device in the set of positioning devices comprises:
calculating the distance between each positioning device and other positioning devices based on the positioning data of each positioning device in the positioning device set to obtain a preliminary calculated distance set;
and performing de-duplication on the preliminary calculation distance set according to the corresponding relation among the positioning devices in the positioning device set to obtain the distance data set.
7. The method according to any one of claims 1 to 6, wherein the set of positioning devices comprises: at least two positioning devices, the at least two positioning devices being provided on the same component of the vehicle or each positioning device being provided on a different component.
8. The utility model provides a vehicle anti-disassembly early warning device which characterized in that includes:
the early warning area determining module is used for determining at least one vehicle area needing anti-dismantling early warning;
the positioning device determining module is used for acquiring a positioning device set corresponding to the at least one vehicle area;
the distance calculation module is used for obtaining a distance data set representing the shape of the at least one vehicle area based on the positioning data of each positioning device in the positioning device set; and
and the risk judging module is used for determining whether the vehicle is at risk of being disassembled or not according to the distance data set and a preset distance data set representing the shape of the at least one vehicle area.
9. An apparatus, comprising: a memory and a processor;
the memory is used for storing programs;
the processor is configured to execute the program to implement the respective steps of the vehicle disassembly prevention warning method according to any one of claims 1 to 7.
10. A readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the respective steps of the vehicle anti-disassembly warning method according to any one of claims 1 to 7.
CN202310809205.3A 2023-07-03 2023-07-03 Vehicle anti-disassembly early warning method, device, equipment and readable storage medium Pending CN116630031A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310809205.3A CN116630031A (en) 2023-07-03 2023-07-03 Vehicle anti-disassembly early warning method, device, equipment and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310809205.3A CN116630031A (en) 2023-07-03 2023-07-03 Vehicle anti-disassembly early warning method, device, equipment and readable storage medium

Publications (1)

Publication Number Publication Date
CN116630031A true CN116630031A (en) 2023-08-22

Family

ID=87621433

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310809205.3A Pending CN116630031A (en) 2023-07-03 2023-07-03 Vehicle anti-disassembly early warning method, device, equipment and readable storage medium

Country Status (1)

Country Link
CN (1) CN116630031A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117288182A (en) * 2023-11-27 2023-12-26 深圳市明心数智科技有限公司 Position information acquisition method, device, terminal and medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117288182A (en) * 2023-11-27 2023-12-26 深圳市明心数智科技有限公司 Position information acquisition method, device, terminal and medium
CN117288182B (en) * 2023-11-27 2024-03-26 深圳市明心数智科技有限公司 Position information acquisition method, device, terminal and medium

Similar Documents

Publication Publication Date Title
CN109670970B (en) Driving behavior scoring method and device and computer readable storage medium
CN109655075B (en) Unmanned vehicle positioning method and device
CN111460312A (en) Method and device for identifying empty-shell enterprise and computer equipment
CN116630031A (en) Vehicle anti-disassembly early warning method, device, equipment and readable storage medium
CN112164049B (en) Method and device for monitoring illegal construction
AU7382198A (en) Method and apparatus for predicting a fault condition
CN102741900A (en) Road condition management system and road condition management method
CN110795587A (en) Medical alarm early warning method, service platform and computer readable storage medium
CN107403480A (en) A kind of vehicle trouble method for early warning, system and vehicle
CN108646261B (en) Data processing method and device for vehicle GPS data set
CN110203155B (en) Early warning method and device for abnormal vehicle fuel consumption, terminal equipment and storage medium
CN110855703A (en) Intelligent risk identification system and method and electronic equipment
CN113269042A (en) Intelligent traffic management method and system based on running vehicle violation identification
CN116911610A (en) Method and system for monitoring, evaluating and early warning of driving safety risk of transport vehicle
CN113392167A (en) High-risk area generation method and device, electric motorcycle platform and computer equipment
CN113822487A (en) Risk early warning method and device for operating vehicle, storage medium and computer equipment
CN114358395A (en) Attendance checking prediction method and device
KR20160062259A (en) Method, system and computer readable medium for managing abnormal state of vehicle
CN109947819B (en) Suspected cheating area mining method and device, computer equipment and storage medium
CN115009296A (en) Sensor detection method, sensor detection device, computer equipment and computer program product
EP3457609A1 (en) System and method for computing of anomalies based on frequency driven transformation and computing of new features based on point anomaly density
CN113516834B (en) Vehicle monitoring method, device, system, electronic equipment and storage medium
CN117893021B (en) Network appointment vehicle risk order recognition method, system, storage medium and electronic equipment
CN118700937B (en) Early warning method, device, equipment and medium for vehicle running line deviation
JP7570533B2 (en) Road surface condition estimation system, road surface condition estimation device, and road surface condition estimation program

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination