A vehicle linkage inspection and control system and method based on cloud computing

Abstract

The present invention relates to the technical field of vehicle linkage monitoring management, and specifically to a vehicle linkage checking and controlling system and method based on cloud computing, comprising: collecting all monitoring equipment terminals in a target area to build a vehicle linkage business platform; identifying and judging associated monitoring relationships in all monitoring equipment terminals; identifying and extracting associated equipment terminals for each monitoring equipment terminal based on the distribution of associated monitoring relationships existing in all monitoring equipment terminals; combining associated equipment terminals of each target monitoring equipment terminal, making abnormal judgments on each historical response record, and completing marking processing for the monitoring equipment terminal; accumulating the number of markings of each monitoring equipment terminal in the vehicle linkage business platform at each interval unit period, and feeding back the monitoring equipment terminal whose accumulated number is greater than a number threshold to a management personnel port.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle linkage monitoring and management, and in particular to a vehicle linkage checking and controlling system and method based on cloud computing. Background Art

[0002] As one of the most important and common properties in the court's execution targets, the efficiency of its disposal directly affects the effective realization of the legitimate rights and interests of the winning party. In the past, two executive police officers were required to go to the vehicle management office to handle the matter at the counter, which was inefficient. Online vehicle inspection and control reduces the workload of the executing judges, shortens the case handling cycle, saves judicial resources, and greatly improves the efficiency of inspection and control; and the efficiency of inspection and control is highly dependent on the monitoring capabilities of various monitoring devices in the vehicle linkage business platform. The monitoring capabilities of monitoring equipment are not only related to the performance of the equipment itself, such as clarity, fluency, etc., but also related to whether the deployment of monitoring equipment is reasonable. Summary of the invention

[0003] The purpose of the present invention is to provide a vehicle linkage checking and controlling system and method based on cloud computing to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a vehicle linkage inspection and control method based on cloud computing, the method comprising:

[0005] Step S100: Gather all monitoring equipment terminals in the target area and build a vehicle linkage business platform; whenever the court service end initiates a check and control request to the vehicle linkage business platform, the vehicle linkage business platform is triggered to send the vehicle information of the target seized vehicle pointed to by the check and control request to each monitoring equipment terminal; when the target seized vehicle is captured based on monitoring portrait recognition at any monitoring equipment terminal, the vehicle linkage business platform responds to the check and control request and sends an early warning signal to the court service port;

[0006] Step S200: analyzing the association changes presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage service platform, and identifying and judging the associated monitoring relationship in all monitoring device terminals;

[0007] Step S300: Based on the distribution of associated monitoring relationships existing in all monitoring device terminals, identifying and extracting associated device terminals for each monitoring device terminal;

[0008] Step S400: Retrieve all historical response records of the vehicle linkage business platform, set the monitoring device terminal that responds to the inquiry and control request initiated by the court service end in each historical response record as the target monitoring device terminal, and make an abnormal judgment on each historical response record in combination with the associated device terminal of each target monitoring device terminal, and complete the marking process of the monitoring device terminal; accumulate the marking times of each monitoring device terminal in the vehicle linkage business platform at each interval unit period, and feed back the monitoring device terminal whose accumulated times are greater than the times threshold to the management personnel port.

[0009] Further, step S200 includes:

[0010] Step S201: Set a unit time length tr, randomly select n non-overlapping monitoring video sequences with a time length of tr from the monitoring video streams transmitted in real time by each monitoring device terminal, and set the monitoring video sequence as the target monitoring video sequence corresponding to each monitoring device terminal; wherein n≥n 阈 , n 阈 represents the segment number threshold; m moving targets are randomly selected from each surveillance video sequence, and the moving targets are set as the feature targets corresponding to each surveillance video sequence; where m≥m 阈 , m 阈 Representing the number threshold; extracting the corresponding monitoring time range from the corresponding monitoring video stream for each target monitoring video sequence of each monitoring device terminal;

[0011] Step S202: setting the interval time te; if the monitoring time range of a target monitoring video sequence of any monitoring device terminal is [T1, T2], wherein T1 represents the start time of a target monitoring video sequence extracted from the monitoring video stream of any monitoring device terminal, and T2 represents the end time of a target monitoring video sequence extracted from the monitoring video stream of any monitoring device terminal, wherein T2-T1=tr;

[0012] Step S203: In the monitoring video stream of each monitoring device terminal except any monitoring device terminal, a monitoring video sequence with a start time of T1'=T2+te and a duration of tr is intercepted, and the monitoring video sequence is set as the comparison monitoring video sequence extracted from the monitoring video stream of each monitoring device terminal corresponding to a certain target monitoring video sequence; set the i-th monitoring device terminal P except any monitoring device terminal i In the monitoring video stream, for any monitoring device terminal, the jth target monitoring video sequence L j The intercepted comparison surveillance video sequence is L j ', accumulated in L j 'Capture existence in L j The total number of characteristic targets k; calculate Lj 'With L j The correlation ratio between them is β=k / m, when β≥β 阈 When P i Satisfy an associated monitoring relationship with any monitoring device terminal;

[0013] The above steps are mainly to determine whether continuous monitoring of a target object can be achieved in the monitoring display pages of the two monitoring device terminals. Therefore, it is necessary to set a transition interval time te first. In actual application, the smaller the transition interval time te, the better. The time point obtained after the end time transition te of a target monitoring video sequence of one of the monitoring device terminals is used as the starting time for video capture in the monitoring video stream of the other monitoring device terminal. This is to make the difference between the intercepted monitoring video sequence and the above-mentioned target monitoring video sequence in time dimension as small as possible, to ensure that if the same target is captured in two monitoring video sequences at the same time, the state of the target is continuous or has few interruptions;

[0014] If there are several moving targets in the target monitoring video sequence of a certain monitoring device terminal, most of them will appear in the comparison monitoring video sequence of the corresponding target monitoring video sequence of another monitoring device terminal, it means that there is regional continuity between the above two monitoring device terminals when performing monitoring, which means that the above two monitoring device terminals can often capture the whereabouts of most normal targets continuously. The larger the correlation ratio between the two monitoring device terminals, the stronger the continuity.

[0015] Furthermore, a moving target object refers to a target object that is in the monitoring display page of the corresponding monitoring device terminal within the unit time tr and whose geographical location information continues to change.

[0016] Further, step S300 includes:

[0017] Step S301: Accumulate n target monitoring video sequences based on any monitoring device terminal or based on P i n target surveillance video sequences, and judge to get P i The total number of times f that the associated monitoring relationship is satisfied with any monitoring device terminal; calculate P i The characteristic correlation index α=f / n with any monitoring device terminal;

[0018] Step S302: When P i The feature correlation index α between any monitoring device terminal is greater than the index threshold, and P i The overlapping area S of the video surveillance display screen of the monitoring device terminal and the video surveillance display screen of any monitoring device terminal satisfies S ≥ S 阈, determine whether any monitoring device terminal is connected to P i Mutually related equipment terminals;

[0019] The overlap area between the video surveillance display screens is used as one of the judgment conditions to avoid judgment errors caused by abnormal operating state changes of the target object. If the video surveillance display screens of two monitoring device terminals overlap, it means that the possibility of continuous area between the two monitoring device terminals is greater;

[0020] According to the method used in the previous step to determine the associated monitoring relationship, if two monitoring device terminals are associated with each other, it means that if a target object is captured in the monitoring video stream of a certain monitoring device terminal, the target object can often also be captured in the monitoring video stream of another monitoring device terminal.

[0021] Further, step S400 includes:

[0022] Step S401: extracting other device terminals that are mutually associated with the target monitoring device terminal in each historical response record; accumulating the total number of device terminals D that are mutually associated with the target monitoring device terminal in each historical response record and are in a normal operating state, and accumulating the total number of device terminals Q that are in a normal operating state and are less than the distance threshold from the target monitoring device terminal in each historical response record;

[0023] Step S402: If (D / Q)≥w, a historical response record is determined to be an abnormal response record, and D device terminals that are associated with the target monitoring device terminals in each historical response record and are in normal operation are marked.

[0024] In order to better implement the above method, a vehicle linkage inspection and control system is also proposed, which includes a linkage inspection and control response management module, an associated monitoring relationship identification and judgment module, an associated device terminal identification and judgment module, and a record abnormality management module;

[0025] The linkage inspection and control response management module is used to collect all monitoring equipment terminals in the target area and build a vehicle linkage business platform. Whenever the court service end initiates an inspection and control request to the vehicle linkage business platform, the vehicle linkage business platform is triggered to send the vehicle information of the target seized vehicle pointed to by the inspection and control request to each monitoring equipment terminal. When the target seized vehicle is captured based on monitoring portrait recognition at any monitoring equipment terminal, the vehicle linkage business platform responds to the inspection and control request and sends an early warning signal to the court service port.

[0026] The associated monitoring relationship identification and judgment module is used to analyze the associated changes presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage business platform, and identify and judge the associated monitoring relationship in all monitoring device terminals;

[0027] The associated device terminal identification and judgment module is used to identify and extract the associated device terminal of each monitoring device terminal according to the distribution of the associated monitoring relationship existing in all monitoring device terminals;

[0028] The record exception management module is used to retrieve all historical response records of the vehicle linkage business platform, make exception judgments on each historical response record, and complete the marking processing of the monitoring device terminal; the marking times of each monitoring device terminal in the vehicle linkage business platform are accumulated at each interval unit period, and the monitoring device terminal whose accumulated times are greater than the times threshold is fed back to the management personnel port.

[0029] Furthermore, the association monitoring relationship identification and judgment module includes an association change analysis management unit and an association monitoring relationship identification and judgment unit;

[0030] The correlation change analysis management unit is used to analyze the correlation change situation presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage business platform;

[0031] The associated monitoring relationship identification and judgment unit is used to receive the data in the associated change analysis and management unit and identify and extract the associated device terminals for each monitoring device terminal.

[0032] Furthermore, the record exception management module includes an exception judgment unit and a feedback management unit;

[0033] The abnormality judgment unit is used to retrieve all historical response records of the vehicle linkage business platform, make abnormality judgments on each historical response record, and complete the marking process of the monitoring device terminal;

[0034] The feedback management unit is used to accumulate the marking times of each monitoring device terminal in the vehicle linkage business platform at each unit period, and feed back the monitoring device terminal whose accumulated times are greater than the times threshold to the management personnel port.

[0035] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention determines whether continuous monitoring of a target object can be achieved in the monitoring display pages of any two monitoring device terminals, determines and identifies monitoring device terminals with monitoring association relationships, and captures associated device terminals for each monitoring device terminal; analyzes each historical response record in the vehicle linkage business platform, and makes an abnormality judgment on each historical response record in combination with the distribution of associated device terminals of each monitoring device terminal, and completes the marking processing of the relevant monitoring device terminals based on the abnormality judgment results, and feeds back to the management personnel to adjust the monitoring device terminals marked with abnormalities, thereby improving the linkage query and control efficiency of each monitoring device terminal in the business linkage business platform, and timely feedback is given to some monitoring device terminals that are easy to avoid monitoring and tracking, reminding the management personnel to make adjustments. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0037] Figure 1 It is a flow chart of a vehicle linkage checking and controlling method based on cloud computing of the present invention;

[0038] Figure 2 It is a structural schematic diagram of a vehicle linkage inspection and control system based on cloud computing of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] See also Figure 1-Figure 2 The present invention provides a technical solution: a vehicle linkage inspection and control method based on cloud computing, the method comprising:

[0041] Step S100: Gather all monitoring equipment terminals in the target area and build a vehicle linkage business platform; whenever the court service end initiates a check and control request to the vehicle linkage business platform, the vehicle linkage business platform is triggered to send the vehicle information of the target seized vehicle pointed to by the check and control request to each monitoring equipment terminal; when the target seized vehicle is captured based on monitoring portrait recognition at any monitoring equipment terminal, the vehicle linkage business platform responds to the check and control request and sends an early warning signal to the court service port;

[0042] Step S200: analyzing the association changes presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage service platform, and identifying and judging the associated monitoring relationship in all monitoring device terminals;

[0043] Wherein, step S200 includes:

[0044] Step S201: Set a unit time length tr, randomly select n non-overlapping monitoring video sequences with a time length of tr from the monitoring video streams transmitted in real time by each monitoring device terminal, and set the monitoring video sequence as the target monitoring video sequence corresponding to each monitoring device terminal; wherein n≥n 阈 , n 阈 represents the segment number threshold; m moving targets are randomly selected from each surveillance video sequence, and the moving targets are set as the feature targets corresponding to each surveillance video sequence; where m≥m 阈 , m 阈 Indicates the number threshold; extract the corresponding monitoring time range from the corresponding monitoring video stream for each target monitoring video sequence of each monitoring device terminal; for example, a monitoring video starting from 7:50 and ending at 7:55 with a total length of 5 minutes, the corresponding monitoring time range of the monitoring video is [7:50,7:55];

[0045] The mobile target refers to a target that is in the monitoring display page of the corresponding monitoring device terminal within the unit time tr and whose geographical location information keeps changing; for example, a pedestrian who keeps walking or a vehicle in motion in a certain target monitoring video can be used as a characteristic target of the target monitoring video;

[0046] Step S202: setting the interval time te; if the monitoring time range of a target monitoring video sequence of any monitoring device terminal is [T1, T2], wherein T1 represents the start time of a target monitoring video sequence extracted from the monitoring video stream of any monitoring device terminal, and T2 represents the end time of a target monitoring video sequence extracted from the monitoring video stream of any monitoring device terminal, wherein T2-T1=tr;

[0047] Step S203: In the monitoring video stream of each monitoring device terminal except any monitoring device terminal, a monitoring video sequence with a start time of T1'=T2+te and a duration of tr is intercepted, and the monitoring video sequence is set as the comparison monitoring video sequence extracted from the monitoring video stream of each monitoring device terminal corresponding to a certain target monitoring video sequence; set the i-th monitoring device terminal P except any monitoring device terminal i In the monitoring video stream, for any monitoring device terminal, the jth target monitoring video sequence L jThe intercepted comparison surveillance video sequence is L j ', accumulated in L j 'Capture existence in L j The total number of characteristic targets k; calculate L j 'With L j The correlation ratio between them is β=k / m, when β≥β 阈 When P i Satisfy an associated monitoring relationship with any monitoring device terminal;

[0048] Step S300: Based on the distribution of associated monitoring relationships existing in all monitoring device terminals, identifying and extracting associated device terminals for each monitoring device terminal;

[0049] Wherein, step S300 includes:

[0050] Step S301: Accumulate n target monitoring video sequences based on any monitoring device terminal or based on P i n target surveillance video sequences, and judge to get P i The total number of times f that the associated monitoring relationship is satisfied with any monitoring device terminal; calculate P i The characteristic correlation index α=f / n with any monitoring device terminal;

[0051] Step S302: When P i The feature correlation index α between any monitoring device terminal is greater than the index threshold, and P i The overlapping area S of the video surveillance display screen of the monitoring device terminal and the video surveillance display screen of any monitoring device terminal satisfies S ≥ S 阈 , determine whether any monitoring device terminal is connected to P i Mutually related equipment terminals;

[0052] Step S400: retrieve all historical response records of the vehicle linkage business platform, set the monitoring device terminal that responds to the inquiry and control request initiated by the court service end in each historical response record as the target monitoring device terminal, and perform abnormal judgment on each historical response record in combination with the associated device terminal of each target monitoring device terminal, and complete the marking process of the monitoring device terminal; accumulate the marking times of each monitoring device terminal in the vehicle linkage business platform at each interval unit period, and feed back the monitoring device terminal whose accumulated times are greater than the times threshold to the management personnel port;

[0053] Wherein, step S400 comprises:

[0054] Step S401: extracting other device terminals that are mutually associated with the target monitoring device terminal in each historical response record; accumulating the total number of device terminals D that are mutually associated with the target monitoring device terminal in each historical response record and are in a normal operating state, and accumulating the total number of device terminals Q that are in a normal operating state and are less than the distance threshold from the target monitoring device terminal in each historical response record;

[0055] Step S402: If (D / Q)≥w, a historical response record is determined to be an abnormal response record, and D device terminals that are associated with the target monitoring device terminals in each historical response record and are in normal operation are marked.

[0056] In order to better implement the above method, a vehicle linkage inspection and control system is also proposed, which includes a linkage inspection and control response management module, an associated monitoring relationship identification and judgment module, an associated device terminal identification and judgment module, and a record abnormality management module;

[0057] The linkage inspection and control response management module is used to collect all monitoring equipment terminals in the target area and build a vehicle linkage business platform. Whenever the court service end initiates an inspection and control request to the vehicle linkage business platform, the vehicle linkage business platform is triggered to send the vehicle information of the target seized vehicle pointed to by the inspection and control request to each monitoring equipment terminal. When the target seized vehicle is captured based on monitoring portrait recognition at any monitoring equipment terminal, the vehicle linkage business platform responds to the inspection and control request and sends an early warning signal to the court service port.

[0058] The associated monitoring relationship identification and judgment module is used to analyze the associated changes presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage business platform, and identify and judge the associated monitoring relationship in all monitoring device terminals;

[0059] Among them, the associated monitoring relationship identification and judgment module includes an associated change analysis management unit and an associated monitoring relationship identification and judgment unit;

[0060] The correlation change analysis management unit is used to analyze the correlation change situation presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage business platform;

[0061] The associated monitoring relationship identification and judgment unit is used to receive the data in the associated change analysis and management unit and identify and extract the associated device terminals for each monitoring device terminal;

[0062] The associated device terminal identification and judgment module is used to identify and extract the associated device terminal of each monitoring device terminal according to the distribution of the associated monitoring relationship existing in all monitoring device terminals;

[0063] The record exception management module is used to retrieve all historical response records of the vehicle linkage business platform, make an exception judgment on each historical response record, and complete the marking process of the monitoring device terminal; the number of marking times of each monitoring device terminal in the vehicle linkage business platform is accumulated at each unit period, and the monitoring device terminal with the accumulated number of times greater than the number threshold is fed back to the management personnel port;

[0064] Among them, the record abnormality management module includes an abnormality judgment unit and a feedback management unit;

[0065] The abnormality judgment unit is used to retrieve all historical response records of the vehicle linkage business platform, make abnormality judgments on each historical response record, and complete the marking process of the monitoring device terminal;

[0066] The feedback management unit is used to accumulate the marking times of each monitoring device terminal in the vehicle linkage business platform at each unit period, and feed back the monitoring device terminal whose accumulated times are greater than the times threshold to the management personnel port.

[0067] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0068] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A vehicle linkage inspection and control method based on cloud computing, characterized in that: The method comprises: Step S100: Gather all monitoring equipment terminals in the target area and build a vehicle linkage business platform; whenever the court service end initiates a check and control request to the vehicle linkage business platform, the vehicle linkage business platform is triggered to send the vehicle information of the target seized vehicle pointed to by the check and control request to each monitoring equipment terminal; when the target seized vehicle is captured based on monitoring portrait recognition at any monitoring equipment terminal, the vehicle linkage business platform responds to the check and control request and sends an early warning signal to the court service port; Step S200: analyzing the association changes presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage service platform, and identifying and judging the associated monitoring relationship in all monitoring device terminals; Step S300: Based on the distribution of associated monitoring relationships existing in all monitoring device terminals, identifying and extracting associated device terminals for each monitoring device terminal; Step S400: retrieve all historical response records of the vehicle linkage business platform, set the monitoring device terminal that responds to the inquiry and control request initiated by the court service end in each historical response record as the target monitoring device terminal, and perform abnormal judgment on each historical response record in combination with the associated device terminal of each target monitoring device terminal, and complete the marking process of the monitoring device terminal; accumulate the marking times of each monitoring device terminal in the vehicle linkage business platform at each interval unit period, and feed back the monitoring device terminal whose accumulated times are greater than the times threshold to the management personnel port; The step S200 includes: Step S201: Set a unit time length tr, randomly select n non-overlapping monitoring video sequences with a time length of tr from the monitoring video streams transmitted in real time by each monitoring device terminal, and set the monitoring video sequences as the target monitoring video sequences corresponding to the monitoring device terminals; wherein n≥n 阈 , n 阈 represents the segment number threshold; randomly select m moving targets from each monitoring video sequence, and set the moving targets as the feature targets corresponding to each monitoring video sequence; wherein m≥m 阈 , m 阈 Representing the number threshold; extracting the corresponding monitoring time range from the corresponding monitoring video stream for each target monitoring video sequence of each monitoring device terminal; Step S202: setting the interval time te; if the monitoring time range of a target monitoring video sequence of any monitoring device terminal is [T1, T2], wherein T1 represents the start time of a target monitoring video sequence extracted from the monitoring video stream of any monitoring device terminal, and T2 represents the end time of a target monitoring video sequence extracted from the monitoring video stream of any monitoring device terminal, wherein T2-T1=tr; Step S203: In the monitoring video stream of each monitoring device terminal except any monitoring device terminal, a monitoring video sequence with a start time of T1'=T2+te and a duration of tr is intercepted, and the monitoring video sequence is set as a comparison monitoring video sequence extracted from the monitoring video stream of each monitoring device terminal corresponding to the target monitoring video sequence; set the i-th monitoring device terminal P except any monitoring device terminal i In the monitoring video stream, for any monitoring device terminal, the jth target monitoring video sequence L j The intercepted comparison surveillance video sequence is L j ', accumulated in L j 'Capture existence in L j The total number of characteristic targets k; calculate L j 'With L j The correlation ratio between them is β=k / m, when β≥β 阈 When P i An associated monitoring relationship is satisfied with any monitoring device terminal.

2. The vehicle linkage control method based on cloud computing according to claim 1 is characterized in that: The mobile target object refers to a target object that is in the monitoring display page of the corresponding monitoring device terminal within the unit time tr and whose geographical location information keeps changing.

3. The vehicle linkage control method based on cloud computing according to claim 1 is characterized in that: The step S300 includes: Step S301: Accumulate n target monitoring video sequences based on any monitoring device terminal or based on P i n target surveillance video sequences, and judge to get P i The total number of times f that the associated monitoring relationship is satisfied between the terminal and any monitoring device; Calculate P i The characteristic correlation index α=f / n between the terminal and any monitoring device; Step S302: When P i The characteristic correlation index α between the terminal and any monitoring device is greater than the index threshold, and P i The overlapping area S of the video surveillance display screen of the video surveillance display screen of the arbitrary monitoring device terminal satisfies S≥S 阈 , determine whether any monitoring device terminal is compatible with P i Mutually related equipment terminals.

4. The vehicle linkage control method based on cloud computing according to claim 3 is characterized in that: The step S400 comprises: Step S401: extracting other device terminals that are associated with the target monitoring device terminal in each historical response record; The total number of device terminals D that are associated with the target monitoring device terminals in each historical response record and are in a normal operating state, and the total number of device terminals Q that are less than the distance threshold from the target monitoring device terminals in each historical response record and are in a normal operating state; Step S402: If (D / Q)≥w, a historical response record is determined to be an abnormal response record, and D device terminals that are associated with the target monitoring device terminals in each historical response record and are in normal operation are marked.

5. A vehicle linkage control system for executing a vehicle linkage control method based on cloud computing as described in any one of claims 1 to 4, characterized in that: The system includes a linkage control response management module, an associated monitoring relationship identification and judgment module, an associated device terminal identification and judgment module, and a record abnormality management module; The linkage inspection and control response management module is used to collect all monitoring equipment terminals in the target area and build a vehicle linkage business platform; whenever the court service end initiates an inspection and control request to the vehicle linkage business platform, the vehicle linkage business platform is triggered to send the vehicle information of the target seized vehicle pointed to by the inspection and control request to each monitoring equipment terminal; when the target seized vehicle is captured based on monitoring portrait recognition at any monitoring equipment terminal, the vehicle linkage business platform responds to the inspection and control request and sends an early warning signal to the court service port; The associated monitoring relationship identification and judgment module is used to analyze the associated changes presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage service platform, and identify and judge the associated monitoring relationship in all monitoring device terminals; The associated device terminal identification and judgment module is used to identify and extract associated device terminals for each monitoring device terminal according to the distribution of associated monitoring relationships existing in all monitoring device terminals; The record exception management module is used to retrieve all historical response records of the vehicle linkage business platform, make an exception judgment on each historical response record, and complete the marking processing of the monitoring device terminal; the marking times of each monitoring device terminal in the vehicle linkage business platform are accumulated at each interval unit period, and the monitoring device terminal whose accumulated times are greater than the times threshold is fed back to the management personnel port.

6. The vehicle linkage inspection and control system according to claim 5, characterized in that: The associated monitoring relationship identification and judgment module includes an associated change analysis management unit and an associated monitoring relationship identification and judgment unit; The association change analysis management unit is used to analyze the association change situation presented on the real-time monitoring display page of each monitoring device terminal in the vehicle linkage service platform; The associated monitoring relationship identification and judgment unit is used to receive the data in the associated change analysis and management unit, and identify and extract the associated device terminals for each monitoring device terminal.

7. The vehicle linkage inspection and control system according to claim 6, characterized in that: The record abnormality management module includes an abnormality judgment unit and a feedback management unit; The abnormality judgment unit is used to retrieve all historical response records of the vehicle linkage service platform, perform abnormality judgment on each historical response record, and complete the marking process of the monitoring device terminal; The feedback management unit is used to accumulate the marking times of each monitoring device terminal in the vehicle linkage service platform at each unit period, and feed back the monitoring device terminal whose accumulated times are greater than the times threshold to the management personnel port.

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