CN117011813A - Vehicle linkage checking and controlling system and method based on cloud computing - Google Patents
Vehicle linkage checking and controlling system and method based on cloud computing Download PDFInfo
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Abstract
The invention relates to the technical field of vehicle linkage monitoring management, in particular to a vehicle linkage checking and controlling system and method based on cloud computing, comprising the steps of collecting all monitoring equipment terminals in a target area and constructing a vehicle linkage service platform; performing identification judgment of the association monitoring relationship in all monitoring equipment terminals; based on the distribution condition of the association monitoring relationship existing in all the monitoring equipment terminals, identifying and extracting the association equipment terminals from each monitoring equipment terminal; combining the associated equipment terminals of each target monitoring equipment terminal, performing anomaly judgment on each history response record, and finishing the marking processing of the monitoring equipment terminals; and accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period, and feeding back the monitoring equipment terminals with accumulated times larger than the time threshold to the manager port.
Description
Technical Field
The invention relates to the technical field of vehicle linkage monitoring management, in particular to a vehicle linkage checking and controlling system and method based on cloud computing.
Background
Vehicles are one of the most important and common properties in court practice, and their disposal efficiency directly affects the effective redemption of legal rights of the winning party. In the prior vehicle checking and controlling work, two execution dry polices are required to go to the cabinet-type business of the vehicle management together, and the efficiency is low. The vehicle check and control line check-in reduces the workload of executing the reciprocating running of the officer, shortens the check-in period, saves the judicial resources and greatly improves the check and control efficiency; the monitoring capability of each monitoring device in the vehicle linkage service platform has higher dependence on the monitoring capability, and the monitoring capability of the monitoring device is related to the performance of the device, such as definition, fluency and the like, and is also reasonably related to the control of the monitoring device.
Disclosure of Invention
The invention aims to provide a vehicle linkage checking and controlling system and method based on cloud computing, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a vehicle linkage checking and controlling method based on cloud computing comprises the following steps:
step S100: collecting all monitoring equipment terminals in a target area, and constructing a vehicle linkage service platform; every time a court service end initiates a checking and controlling request to a vehicle linkage service platform, the vehicle linkage service platform is triggered to send vehicle information of a target checking and sealing vehicle pointed by the checking and controlling request to each monitoring equipment terminal; when any monitoring equipment terminal captures a target check-in vehicle based on monitoring portrait identification, the vehicle linkage service platform responds to a check-in request and sends an early warning signal to a court service port;
step S200: analyzing the association change condition presented by the real-time monitoring display page of each monitoring equipment terminal in the vehicle linkage service platform, and identifying and judging the association monitoring relationship in all the monitoring equipment terminals;
step S300: based on the distribution condition of the association monitoring relationship existing in all the monitoring equipment terminals, identifying and extracting the association equipment terminals from each monitoring equipment terminal;
step S400: taking all history response records of the vehicle linkage service platform, respectively setting a monitoring equipment terminal responding to a check and control request initiated by a court server in each history response record as a target monitoring equipment terminal, and combining the associated equipment terminals of all target monitoring equipment terminals to perform abnormality judgment on all history response records so as to finish the marking processing of the monitoring equipment terminals; and accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period, and feeding back the monitoring equipment terminals with accumulated times larger than the time threshold to the manager port.
Further, step S200 includes:
step S201: setting a unit duration tr, randomly intercepting n sections of monitoring video sequences which are tr in time and do not overlap from monitoring video streams transmitted in real time by each monitoring equipment terminal, and setting the monitoring video sequences as target monitoring video sequences corresponding to each monitoring equipment terminal; wherein n is greater than or equal to n Threshold value ，n Threshold value Representing a segment number threshold; randomly selecting m moving targets from each monitoring video sequence, and setting the moving targets as characteristic targets corresponding to each monitoring video sequence; wherein m is greater than or equal to m Threshold value ，m Threshold value Representing a number threshold; extracting corresponding monitoring time ranges from corresponding monitoring video streams for each target monitoring video sequence of each monitoring equipment terminal respectively;
step S202: setting interval duration te; if the monitoring time range of a certain target monitoring video sequence of any monitoring equipment terminal is [ T1, T2], wherein T1 represents the starting time extracted from the monitoring video stream of any monitoring equipment terminal to the certain target monitoring video sequence, and T2 represents the ending time extracted from the monitoring video stream of any monitoring equipment terminal to the certain target monitoring video sequence, wherein T2-T1=tr;
step S203: intercepting a monitoring video sequence with the starting time of T1' =T2+te and the duration of tr from the monitoring video streams of each monitoring equipment terminal except any monitoring equipment terminal, and setting the monitoring video sequence as a comparison monitoring video sequence extracted from the monitoring video stream of each monitoring equipment terminal corresponding to a certain target monitoring video sequence; let from the ith monitoring equipment terminal P excluding any monitoring equipment terminal i In the monitoring video stream of (2), the j-th target monitoring video sequence L of any monitoring equipment terminal j Intercepting the obtained comparison monitoring video sequence L j ' is accumulated at L j ' capture presence in L j The total number k of the characteristic target objects; calculate L j ' and L j Ratio of associations betweenBeta=k/m, when beta is more than or equal to beta Threshold value At the time, judge P i The method and any monitoring equipment terminal meet a primary association monitoring relation;
the above steps are mainly to judge whether the continuity monitoring of a target object can be realized in the monitoring display pages of two monitoring equipment terminals, so that a transition interval length te needs to be set firstly, in the actual application process, the smaller the transition interval length te is, the better the transition interval length te is, the time point obtained after the termination time te of one target monitoring video sequence of one monitoring equipment terminal is used as the starting time of video interception in the monitoring video stream of the other monitoring equipment terminal, so that the phase difference between the intercepted monitoring video sequence and the certain target monitoring video sequence is as small as possible in time latitude, and the condition of the target is ensured to be continuous or less in a discontinuous manner if the same target is captured in the two monitoring video sequences at the same time;
if a plurality of moving targets exist in a target monitoring video sequence of one monitoring equipment terminal, most of the moving targets are in a comparison monitoring video sequence of the other monitoring equipment terminal corresponding to the target monitoring video sequence, the fact that the two monitoring equipment terminals exist continuously in the monitoring process is indicated, the fact that the two monitoring equipment terminals can always capture the track of the most normal targets continuously is indicated, and the fact that the larger the association ratio between the two monitoring equipment terminals is, the stronger the continuity is indicated.
Further, the moving target is a target which is located in the monitoring display page of the corresponding monitoring equipment terminal in the unit time tr and the geographic position information of which is continuously changed.
Further, step S300 includes;
step S301: accumulating n segments of target monitoring video sequences based on any monitoring equipment terminal or P-based monitoring video sequences i N segments of target monitoring video sequences, judging to obtain P i The total times f meeting the association monitoring relation with any monitoring equipment terminal; calculation of P i Characteristic association index α=f/n with any monitoring device terminal;
step S302: when P i The characteristic association index alpha between the terminal and any monitoring equipment is larger than an index threshold value, and P i The picture superposition area S of the video monitoring display picture of the (C) and the video monitoring display picture of any monitoring equipment terminal meets the condition that S is more than or equal to S Threshold value Judging any monitoring equipment terminal and P i The terminals are associated equipment terminals;
taking the picture overlapping area between the video monitoring display pictures as one of judging conditions, so as to avoid judging errors caused by some abnormal running state changes of the target object, if picture overlapping occurs between the video monitoring display pictures of the two monitoring equipment terminals, the larger the possibility that the two monitoring equipment terminals have continuous areas when monitoring is performed;
according to the method adopted when the association monitoring relation judgment is carried out in the preamble step, if two monitoring equipment terminals are the association equipment terminals, the method means that if a certain target object is captured in the monitoring video stream of a certain monitoring equipment terminal, the target object can be captured in the monitoring video stream of another monitoring equipment terminal.
Further, step S400 includes:
step S401: extracting other equipment terminals which are associated equipment terminals with the target monitoring equipment terminal in each history response record; accumulating the total number D of the equipment terminals which are mutually associated with the target monitoring equipment terminals in each history response record and are in a normal starting-up running state, and accumulating the total number Q of the equipment terminals which are less than a distance threshold value and are in a normal starting-up running state;
step S402: and if the (D/Q) is not less than w, judging that a certain historical response record is an abnormal response record, and marking D equipment terminals which are mutually associated with the target monitoring equipment terminals in each historical response record and are in a starting-up normal operation state.
The system comprises a linkage check and control response management module, an association monitoring relation identification and judgment module, an association equipment terminal identification and judgment module and a recording abnormality management module;
the linkage check control response management module is used for collecting all monitoring equipment terminals in the target area and constructing a vehicle linkage service platform; every time a court service end initiates a checking and controlling request to a vehicle linkage service platform, the vehicle linkage service platform is triggered to send vehicle information of a target checking and sealing vehicle pointed by the checking and controlling request to each monitoring equipment terminal; when any monitoring equipment terminal captures a target check-in vehicle based on monitoring portrait identification, the vehicle linkage service platform responds to a check-in request and sends an early warning signal to a court service port;
the association monitoring relation identification judging module is used for analyzing association change conditions presented by real-time monitoring display pages of all monitoring equipment terminals in the vehicle linkage service platform and carrying out identification judgment of association monitoring relation in all the monitoring equipment terminals;
the associated equipment terminal identification judging module is used for carrying out identification extraction of the associated equipment terminals on each monitoring equipment terminal according to the distribution condition of the associated monitoring relation existing in all the monitoring equipment terminals;
the record abnormality management module is used for retrieving all the history response records of the vehicle linkage service platform, carrying out abnormality judgment on each history response record and completing the marking processing of the monitoring equipment terminal; and accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period, and feeding back the monitoring equipment terminals with accumulated times larger than the time threshold to the manager port.
Further, the association monitoring relation recognition judging module comprises an association change analysis management unit and an association monitoring relation recognition judging unit;
the association change analysis management unit is used for analyzing association change conditions presented by the real-time monitoring display page of each monitoring equipment terminal in the vehicle linkage service platform;
and the association monitoring relation identification judging unit is used for receiving the data in the association change analysis management unit and carrying out identification extraction of the association equipment terminals on each monitoring equipment terminal.
Further, the recording abnormality management module comprises an abnormality judgment unit and a feedback management unit;
the abnormality judging unit is used for calling all the history response records of the vehicle linkage service platform, judging the abnormality of each history response record and finishing the marking processing of the monitoring equipment terminal;
the feedback management unit is used for accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period and feeding back the monitoring equipment terminals with accumulated times larger than the time threshold to the manager port.
Compared with the prior art, the invention has the following beneficial effects: according to the method, whether the continuity monitoring of one target object can be realized in the monitoring display pages of any two monitoring equipment terminals is judged, the monitoring equipment terminals with the monitoring association relationship are judged and identified, and the associated equipment terminals are captured by the monitoring equipment terminals; analyzing each historical response record in the vehicle linkage service platform, combining the distribution condition of the associated equipment terminals of each monitoring equipment terminal, carrying out anomaly judgment on each historical response record, finishing the marking processing of the related monitoring equipment terminal based on the anomaly judgment result, and adjusting the marked abnormal monitoring equipment terminal by a feedback manager to improve the linkage check and control efficiency of each monitoring equipment terminal in the service linkage service platform, and timely feeding back the monitoring equipment terminals which are easy to avoid monitoring and tracking to remind the manager to adjust.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic flow chart of a vehicle linkage check and control method based on cloud computing;
fig. 2 is a schematic structural diagram of a vehicle linkage check and control system based on cloud computing.
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.
Referring to fig. 1-2, the present invention provides the following technical solutions: a vehicle linkage checking and controlling method based on cloud computing comprises the following steps:
step S100: collecting all monitoring equipment terminals in a target area, and constructing a vehicle linkage service platform; every time a court service end initiates a checking and controlling request to a vehicle linkage service platform, the vehicle linkage service platform is triggered to send vehicle information of a target checking and sealing vehicle pointed by the checking and controlling request to each monitoring equipment terminal; when any monitoring equipment terminal captures a target check-in vehicle based on monitoring portrait identification, the vehicle linkage service platform responds to a check-in request and sends an early warning signal to a court service port;
step S200: analyzing the association change condition presented by the real-time monitoring display page of each monitoring equipment terminal in the vehicle linkage service platform, and identifying and judging the association monitoring relationship in all the monitoring equipment terminals;
wherein, step S200 includes:
step S201: setting a unit duration tr, randomly intercepting n sections of monitoring video sequences which are tr in time and do not overlap from monitoring video streams transmitted in real time by each monitoring equipment terminal, and setting the monitoring video sequences as target monitoring video sequences corresponding to each monitoring equipment terminal; wherein n is greater than or equal to n Threshold value ，n Threshold value Representing a segment number threshold; randomly selecting m moving targets from each monitoring video sequence, and setting the moving targets as characteristic targets corresponding to each monitoring video sequence; wherein m is greater than or equal to m Threshold value ，m Threshold value Representing a number threshold; the slave video sequence of each target of each monitoring equipment terminal is respectively monitoredExtracting a corresponding monitoring time range from the video stream to be monitored; for example, a section starts from 7:50 to 7:55, and the total duration is 5min of monitoring video, and the monitoring time range corresponding to the monitoring video is [7:50,7:55]；
The mobile target is a target which is located in a monitoring display page of a corresponding monitoring equipment terminal in unit time tr and the geographic position information of which is continuously changed; for example, a pedestrian who continuously walks and a vehicle who runs in a certain target monitoring video can be taken as characteristic targets of the target monitoring video;
step S202: setting interval duration te; if the monitoring time range of a certain target monitoring video sequence of any monitoring equipment terminal is [ T1, T2], wherein T1 represents the starting time extracted from the monitoring video stream of any monitoring equipment terminal to the certain target monitoring video sequence, and T2 represents the ending time extracted from the monitoring video stream of any monitoring equipment terminal to the certain target monitoring video sequence, wherein T2-T1=tr;
step S203: intercepting a monitoring video sequence with the starting time of T1' =T2+te and the duration of tr from the monitoring video streams of each monitoring equipment terminal except any monitoring equipment terminal, and setting the monitoring video sequence as a comparison monitoring video sequence extracted from the monitoring video stream of each monitoring equipment terminal corresponding to a certain target monitoring video sequence; let from the ith monitoring equipment terminal P excluding any monitoring equipment terminal i In the monitoring video stream of (2), the j-th target monitoring video sequence L of any monitoring equipment terminal j Intercepting the obtained comparison monitoring video sequence L j ' is accumulated at L j ' capture presence in L j The total number k of the characteristic target objects; calculate L j ' and L j The relation ratio between beta=k/m, when beta is more than or equal to beta Threshold value At the time, judge P i The method and any monitoring equipment terminal meet a primary association monitoring relation;
step S300: based on the distribution condition of the association monitoring relationship existing in all the monitoring equipment terminals, identifying and extracting the association equipment terminals from each monitoring equipment terminal;
wherein step S300 includes;
step S301: accumulating n segments of target monitoring video sequences based on any monitoring equipment terminal or P-based monitoring video sequences i N segments of target monitoring video sequences, judging to obtain P i The total times f meeting the association monitoring relation with any monitoring equipment terminal; calculation of P i Characteristic association index α=f/n with any monitoring device terminal;
step S302: when P i The characteristic association index alpha between the terminal and any monitoring equipment is larger than an index threshold value, and P i The picture superposition area S of the video monitoring display picture of the (C) and the video monitoring display picture of any monitoring equipment terminal meets the condition that S is more than or equal to S Threshold value Judging any monitoring equipment terminal and P i The terminals are associated equipment terminals;
step S400: taking all history response records of the vehicle linkage service platform, respectively setting a monitoring equipment terminal responding to a check and control request initiated by a court server in each history response record as a target monitoring equipment terminal, and combining the associated equipment terminals of all target monitoring equipment terminals to perform abnormality judgment on all history response records so as to finish the marking processing of the monitoring equipment terminals; accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period, and feeding back the monitoring equipment terminals with accumulated times larger than a time threshold value to a manager port;
wherein, step S400 includes:
step S401: extracting other equipment terminals which are associated equipment terminals with the target monitoring equipment terminal in each history response record; accumulating the total number D of the equipment terminals which are mutually associated with the target monitoring equipment terminals in each history response record and are in a normal starting-up running state, and accumulating the total number Q of the equipment terminals which are less than a distance threshold value and are in a normal starting-up running state;
step S402: and if the (D/Q) is not less than w, judging that a certain historical response record is an abnormal response record, and marking D equipment terminals which are mutually associated with the target monitoring equipment terminals in each historical response record and are in a starting-up normal operation state.
The system comprises a linkage check and control response management module, an association monitoring relation identification and judgment module, an association equipment terminal identification and judgment module and a recording abnormality management module;
the linkage check control response management module is used for collecting all monitoring equipment terminals in the target area and constructing a vehicle linkage service platform; every time a court service end initiates a checking and controlling request to a vehicle linkage service platform, the vehicle linkage service platform is triggered to send vehicle information of a target checking and sealing vehicle pointed by the checking and controlling request to each monitoring equipment terminal; when any monitoring equipment terminal captures a target check-in vehicle based on monitoring portrait identification, the vehicle linkage service platform responds to a check-in request and sends an early warning signal to a court service port;
the association monitoring relation identification judging module is used for analyzing association change conditions presented by real-time monitoring display pages of all monitoring equipment terminals in the vehicle linkage service platform and carrying out identification judgment of association monitoring relation in all the monitoring equipment terminals;
the association monitoring relation recognition judging module comprises an association change analysis management unit and an association monitoring relation recognition judging unit;
the association change analysis management unit is used for analyzing association change conditions presented by the real-time monitoring display page of each monitoring equipment terminal in the vehicle linkage service platform;
the association monitoring relation identification judging unit is used for receiving the data in the association change analysis management unit and carrying out identification extraction of the association equipment terminals on each monitoring equipment terminal;
the associated equipment terminal identification judging module is used for carrying out identification extraction of the associated equipment terminals on each monitoring equipment terminal according to the distribution condition of the associated monitoring relation existing in all the monitoring equipment terminals;
the record abnormality management module is used for retrieving all the history response records of the vehicle linkage service platform, carrying out abnormality judgment on each history response record and completing the marking processing of the monitoring equipment terminal; accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period, and feeding back the monitoring equipment terminals with accumulated times larger than a time threshold value to a manager port;
the recording abnormality management module comprises an abnormality judgment unit and a feedback management unit;
the abnormality judging unit is used for calling all the history response records of the vehicle linkage service platform, judging the abnormality of each history response record and finishing the marking processing of the monitoring equipment terminal;
the feedback management unit is used for accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period and feeding back the monitoring equipment terminals with accumulated times larger than the time threshold to the manager port.
It is 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.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The vehicle linkage checking and controlling method based on cloud computing is characterized by comprising the following steps of:
step S100: collecting all monitoring equipment terminals in a target area, and constructing a vehicle linkage service platform; every time a court service end initiates a checking and controlling request to a vehicle linkage service platform, the vehicle linkage service platform is triggered to send vehicle information of a target checking and sealing vehicle pointed by the checking and controlling request to each monitoring equipment terminal; when any monitoring equipment terminal captures a target check-in vehicle based on monitoring portrait identification, the vehicle linkage service platform responds to the check-in request and sends an early warning signal to a court service port;
step S200: analyzing the association change condition presented by the real-time monitoring display page of each monitoring equipment terminal in the vehicle linkage service platform, and identifying and judging the association monitoring relationship in all the monitoring equipment terminals;
step S300: based on the distribution condition of the association monitoring relationship existing in all the monitoring equipment terminals, identifying and extracting the association equipment terminals from each monitoring equipment terminal;
step S400: taking all history response records of the vehicle linkage service platform, respectively setting a monitoring equipment terminal responding to a check and control request initiated by a court server in each history response record as a target monitoring equipment terminal, and combining the associated equipment terminals of all target monitoring equipment terminals to perform abnormality judgment on all history response records so as to finish the marking processing of the monitoring equipment terminals; and accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period, and feeding back the monitoring equipment terminals with accumulated times larger than the time threshold to the manager port.
2. The method for vehicle linkage check and control based on cloud computing of claim 1, wherein the step S200 includes:
step S201: setting a unit time tr, dividingRandomly intercepting n sections of monitoring video sequences which have the duration tr and are not overlapped from monitoring video streams transmitted in real time by each monitoring equipment terminal, and setting the monitoring video sequences as target monitoring video sequences corresponding to each monitoring equipment terminal; wherein n is greater than or equal to n Threshold value ，n Threshold value Representing a segment number threshold; randomly selecting m moving targets from each monitoring video sequence, and setting the moving targets as characteristic targets corresponding to each monitoring video sequence; wherein m is greater than or equal to m Threshold value ，m Threshold value Representing a number threshold; extracting corresponding monitoring time ranges from corresponding monitoring video streams for each target monitoring video sequence of each monitoring equipment terminal respectively;
step S202: setting interval duration te; if the monitoring time range of a certain target monitoring video sequence of any monitoring equipment terminal is [ T1, T2], wherein T1 represents the starting time extracted from the monitoring video stream of any monitoring equipment terminal to the certain target monitoring video sequence, and T2 represents the ending time extracted from the monitoring video stream of any monitoring equipment terminal to the certain target monitoring video sequence, wherein T2-T1=tr;
step S203: intercepting a monitoring video sequence with the starting time of T1' =T2+te and the duration of tr from the monitoring video stream of each monitoring equipment terminal except any monitoring equipment terminal, and setting the monitoring video sequence as a comparison monitoring video sequence extracted from the monitoring video stream of each monitoring equipment terminal corresponding to the certain target monitoring video sequence; let from the ith monitoring equipment terminal P excluding any monitoring equipment terminal i In the monitoring video stream of (2), the j-th target monitoring video sequence L of any monitoring equipment terminal j Intercepting the obtained comparison monitoring video sequence L j ' is accumulated at L j ' capture presence in L j The total number k of the characteristic target objects; calculate L j ' and L j The relation ratio between beta=k/m, when beta is more than or equal to beta Threshold value At the time, judge P i And the one-time association monitoring relation with any monitoring equipment terminal is met.
3. The vehicle linkage checking and controlling method based on cloud computing according to claim 2, wherein the moving target is a target which is located in a monitoring display page of a corresponding monitoring equipment terminal in unit time tr and whose geographic position information is continuously changed.
4. The method for vehicle linkage check and control based on cloud computing of claim 2, wherein the step S300 includes;
step S301: accumulating n segments of target monitoring video sequences based on any monitoring equipment terminal or P-based monitoring video sequences i N segments of target monitoring video sequences, judging to obtain P i The total times f meeting the association monitoring relation with any monitoring equipment terminal; calculation of P i Characteristic association index alpha=f/n with any monitoring equipment terminal;
step S302: when P i The characteristic association index alpha between the terminal and any monitoring equipment is larger than an index threshold value, and P i The picture superposition area S of the video monitoring display picture of the arbitrary monitoring equipment terminal and the video monitoring display picture meets the condition that S is more than or equal to S Threshold value Judging the terminal and P of any monitoring equipment i Are associated device terminals.
5. The method for vehicle linkage check and control based on cloud computing of claim 4, wherein the step S400 includes:
step S401: extracting other equipment terminals which are associated equipment terminals with the target monitoring equipment terminal in each history response record; accumulating the total number D of the equipment terminals which are mutually associated with the target monitoring equipment terminals in each history response record and are in a normal starting-up running state, and accumulating the total number Q of the equipment terminals which are less than a distance threshold value and are in a normal starting-up running state;
step S402: and if the (D/Q) is not less than w, judging that the certain historical response record is an abnormal response record, and marking the D equipment terminals which are mutually associated with the target monitoring equipment terminals in the historical response records and are in a starting-up normal operation state.
6. A vehicle linkage checking and controlling system for executing a vehicle linkage checking and controlling method based on cloud computing as in any one of claims 1-5, wherein the system comprises a linkage checking and controlling response management module, an association monitoring relation identification and judging module, an association equipment terminal identification and judging module and a recording abnormality management module;
the linkage check and control response management module is used for collecting all monitoring equipment terminals in the target area and constructing a vehicle linkage service platform; every time a court service end initiates a checking and controlling request to a vehicle linkage service platform, the vehicle linkage service platform is triggered to send vehicle information of a target checking and sealing vehicle pointed by the checking and controlling request to each monitoring equipment terminal; when any monitoring equipment terminal captures a target check-in vehicle based on monitoring portrait identification, the vehicle linkage service platform responds to the check-in request and sends an early warning signal to a court service port;
the association monitoring relation identification judging module is used for analyzing association change conditions presented by real-time monitoring display pages of all monitoring equipment terminals in the vehicle linkage service platform and carrying out identification judgment of association monitoring relations in all the monitoring equipment terminals;
the associated equipment terminal identification judging module is used for carrying out identification extraction of the associated equipment terminals on each monitoring equipment terminal according to the distribution condition of the associated monitoring relation existing in all the monitoring equipment terminals;
the record abnormality management module is used for retrieving all the history response records of the vehicle linkage service platform, performing abnormality judgment on each history response record and finishing the marking processing of the monitoring equipment terminal; and accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period, and feeding back the monitoring equipment terminals with accumulated times larger than the time threshold to the manager port.
7. The vehicle linkage check and control system according to claim 6, wherein the association monitoring relationship identification and judgment module comprises an association change analysis management unit and an association monitoring relationship identification and judgment unit;
the association change analysis management unit is used for analyzing association change conditions presented by real-time monitoring display pages of all monitoring equipment terminals in the vehicle linkage service platform;
and the association monitoring relation identification judging unit is used for receiving the data in the association change analysis management unit and carrying out identification extraction of the association equipment terminals on each monitoring equipment terminal.
8. The vehicle linkage check and control system according to claim 6, wherein the recording abnormality management module includes an abnormality judgment unit, a feedback management unit;
the abnormality judging unit is used for calling all the history response records of the vehicle linkage service platform, carrying out abnormality judgment on each history response record and finishing the marking processing of the monitoring equipment terminal;
the feedback management unit is used for accumulating the marking times of each monitoring equipment terminal in the vehicle linkage service platform every interval unit period and feeding back the monitoring equipment terminals with accumulated times larger than a time threshold value to the manager port.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311069775.XA CN117011813A (en) | 2023-08-24 | 2023-08-24 | Vehicle linkage checking and controlling system and method based on cloud computing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311069775.XA CN117011813A (en) | 2023-08-24 | 2023-08-24 | Vehicle linkage checking and controlling system and method based on cloud computing |
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| CN117590793A (en) * | 2024-01-19 | 2024-02-23 | 中建安装集团有限公司 | Water treatment integrated monitoring system and method for water plant based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117590793A (en) * | 2024-01-19 | 2024-02-23 | 中建安装集团有限公司 | Water treatment integrated monitoring system and method for water plant based on Internet of things |
| CN117590793B (en) * | 2024-01-19 | 2024-03-26 | 中建安装集团有限公司 | Water treatment integrated monitoring system and method for water plant based on Internet of things |
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