CN117314346A - Official vehicle violation analysis method, system and storage medium - Google Patents
Official vehicle violation analysis method, system and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of vehicle management and control, in particular to a method, a system and a storage medium for analyzing the rule violations of a official vehicle, wherein the method comprises the following steps: s100, acquiring vehicle application data; the vehicle application data comprise a plurality of pre-vehicle time periods and corresponding pre-vehicle mileage; s200, acquiring the position information of the vehicle in real time, and analyzing the actual vehicle starting time and the actual vehicle mileage according to the position information of the vehicle; s300, analyzing whether the actual vehicle use starting time is within any pre-vehicle time period, if so, executing S400, and if not, generating an unrequested vehicle use abnormal report; s400, comparing the pre-vehicle mileage with the actual vehicle mileage, and generating a super mileage abnormality report according to the mileage comparison result. By adopting the scheme, the abnormal condition of the vehicle can be monitored in real time, and the vehicle behavior of the applicant can be standardized.
Description
Technical Field
The invention relates to the technical field of vehicle management and control, in particular to a method, a system and a storage medium for analyzing traffic violation.
Background
At present, the use management of the official vehicles by each unit still adopts a mode of comparing original prior application and registration: the driver applies for the vehicle data such as vehicle filling time, vehicle use reason, vehicle mileage and the like, after approval, the driver checks and registers the starting kilometer mileage of the vehicle, and after the vehicle is used, the vehicle return time and the vehicle ending kilometer mileage are registered. The management method has the following problems: 1. the authenticity of the actual vehicle use starting time can be guaranteed, the vehicle returning time is automatically filled by a driver, and whether the driver returns the vehicle according to the approval time cannot be determined; 2. the filled mileage data may not be matched with the actual mileage data, and the problem of error in the last filling can be covered only by changing the actual mileage data when the driver fills next time; 3. whether the vehicle is illegally used or not without going through the application flow cannot be detected. Therefore, it is urgently needed to provide a method for analyzing the rule violations of the public service vehicles, which can monitor the abnormal conditions of the vehicles in real time, reduce the management cost of the public service vehicles used by the units and standardize the vehicle behaviors of the applicant.
Disclosure of Invention
The invention provides a method, a system and a storage medium for analyzing the rule violation of a public service vehicle, which can monitor the abnormal condition of the vehicle in real time and is beneficial to standardizing the vehicle behavior of the applicant.
In order to achieve the above purpose, the present application provides the following technical solutions:
a method for analyzing the rule violations of a public service vehicle comprises the following steps:
s100, acquiring vehicle application data; the vehicle application data comprise a plurality of pre-vehicle time periods and corresponding pre-vehicle mileage;
s200, acquiring the position information of the vehicle in real time, and analyzing the actual vehicle starting time and the actual vehicle mileage according to the position information of the vehicle;
s300, analyzing whether the actual vehicle use starting time is within any pre-vehicle time period, if so, executing S400, and if not, generating an unrequested vehicle use abnormal report;
s400, comparing the pre-vehicle mileage with the actual vehicle mileage, and generating a super mileage abnormality report according to the mileage comparison result.
The principle and the advantages of the invention are as follows: through obtaining the position information of the vehicle, whether the vehicle is used or not can be accurately analyzed, in the scheme, after the vehicle is in a use state, whether the actual vehicle starting time is in any pre-vehicle time period is analyzed, so that whether the vehicle has a corresponding vehicle application or not is analyzed, if not, an abnormal vehicle report for not-applied vehicles is generated, a manager is reminded of abnormal vehicle conditions, if yes, whether the pre-vehicle mileage is matched with the actual vehicle mileage is further analyzed, and a super mileage abnormal report is generated, so that relevant manager is timely reminded when the applied pre-vehicle mileage is not matched with the actual vehicle mileage. By adopting the scheme, the abnormal condition of the vehicle can be monitored in real time, and the abnormal vehicle condition of the manager is reminded through the targeted abnormal report, so that the vehicle behavior of the applicant can be standardized; the vehicle condition analysis is carried out only when the vehicle behavior exists, so that the system power consumption is low and the efficiency is high; compared with the manual checking mode, the method has lower cost and stronger timeliness.
Further, in S200, analyzing an actual vehicle end time according to the position information of the vehicle;
s400 includes:
s401, analyzing whether the mileage of the pre-vehicle is greater than or equal to the mileage of the actual vehicle, if not, calculating a difference value between the mileage of the pre-vehicle and the mileage of the actual vehicle, if the difference value is greater than a preset difference value, generating an abnormal report of the super mileage, generating a data complement time period according to the actual vehicle starting time and the actual vehicle ending time, and continuously collecting later complement data in the data complement time period;
the later-stage supplementary transmission data comprise a plurality of supplementary vehicle time periods and corresponding supplementary vehicle mileage.
The beneficial effects are that: even if the driver uses the vehicle according to the vehicle application data specification, the situation of the super range may occur, for example: the pre-vehicle mileage is usually filled according to the navigation data when the filling application is performed, but the actual vehicle use period may cause the need of changing the route due to the congestion, construction and the like of the road, so that the actual vehicle mileage is properly increased, and the situation that the vehicle needs to travel to a gas station to be filled for continuous traveling and the like may also exist. Therefore, in the scheme, even if the actual vehicle mileage exceeds the preset vehicle mileage, the super mileage abnormality report is not directly generated, but the difference value is compared, if the difference value is larger than the preset difference value in the continuous vehicle using process, the abnormal vehicle using condition is indicated, and the super mileage abnormality report is generated at the moment; if the vehicle is not exceeded, the vehicle is considered as a normal vehicle; by adopting the scheme, the accuracy of abnormality judgment is improved.
In addition, after the condition of the super mileage, a data complement time period is generated, and later-stage complement data is continuously acquired in the data complement time period.
Further, S400 further includes:
s402, analyzing whether later-period supplement data exist in a data supplement time period, if so, generating an actual vehicle use time period according to the actual vehicle use starting time and the actual vehicle use ending time, and analyzing whether the corresponding supplement vehicle time period is in the actual vehicle use time period to generate a coincidence rate analysis result;
s403, according to the superposition rate analysis result, retrieving the vehicle-supplementing mileage corresponding to the vehicle-supplementing time period;
s404, generating an actual application mileage according to the pre-vehicle mileage and the repair vehicle mileage;
s405, analyzing whether the actual application mileage is greater than or equal to the actual vehicle mileage, if not, calculating a difference value between the actual application mileage and the actual vehicle mileage, and if the difference value is greater than a preset difference value, generating a super mileage confirmation report.
The beneficial effects are that: and analyzing whether the corresponding complementary vehicle time period is within the actual vehicle time period, and generating a coincidence rate analysis result. And then according to the analysis result of the coincidence rate, retrieving the mileage of the complementary vehicle corresponding to the complementary vehicle time period; thereby preventing the data from being the vehicle data for application submitted by the current driver aiming at the current journey; after confirming that the supplementary transmission data is the supplementary transmission data aiming at the current journey, combining the supplementary transmission data in the midway of the vehicle is beneficial to summarizing and analyzing whether abnormal vehicle conditions exist.
Further, in S402, if the complementary vehicle time period is completely within the actual vehicle time period, the generated coincidence rate analysis result is a complete coincidence; if the vehicle supplementing time period is partially overlapped with the actual vehicle using time period, analyzing the complement proportion of the vehicle supplementing time period in the actual vehicle using time period, if the complement proportion exceeds the preset proportion, generating a superposition rate analysis result to be approximately overlapped, otherwise, generating a superposition rate analysis result to be a small amount of superposition;
in S403, if the result of the coincidence rate analysis is complete coincidence or approximately coincidence, the vehicle repairing mileage corresponding to the vehicle repairing time period is called.
The beneficial effects are that: and only when the coincidence rate analysis result is complete coincidence or approximate coincidence, the supplementary transmission data is considered as the application of the current vehicle, so that the vehicle application analysis accuracy is improved.
Further, S200 further includes: and acquiring the running speed of the vehicle, analyzing whether overspeed running conditions exist according to the running speed of the vehicle, and generating overspeed abnormality reports.
The beneficial effects are that: in the process of using the vehicle, the running speed of the vehicle is continuously monitored, and when the driver has overspeed running behaviors, overspeed abnormality reports are generated, so that the effect of remotely monitoring the standardization of the vehicle is achieved.
The invention also discloses a system for analyzing the rule violations of the official vehicles, and the method for analyzing the rule violations of the official vehicles is used.
The invention also discloses a storage medium for analyzing the violation of the official vehicle, which is used for storing computer executable instructions which realize the method for analyzing the violation of the official vehicle when being executed.
Drawings
FIG. 1 is a flow chart of a method for analyzing a violation of a utility vehicle.
Fig. 2 is a flow chart of a method for analyzing a violation of a official vehicle according to the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
example 1:
a method for analyzing the rule violations of a public service vehicle is shown in fig. 1, and comprises the following steps:
s100, acquiring vehicle application data; the vehicle application data comprise a plurality of pre-vehicle time periods and corresponding pre-vehicle mileage; in this embodiment, the Http network protocol is used to call the url help class, and the Token data is encapsulated by two attributes, namely, the request context and the RouteCollection, and the Post requests the vehicle application data in the OA flow data. In this embodiment, the vehicle application data further includes license plates, the vehicle application data are grouped according to the license plates specified in the vehicle application data, and then the vehicle application data are ordered under the grouping of the license plates according to the sequence of the pre-vehicle time periods, and the pre-vehicle mileage corresponding to the pre-vehicle time periods is marked.
S200, acquiring the position information and the running speed of the vehicle in real time, and analyzing the actual vehicle starting time, the actual vehicle ending time and the actual vehicle mileage according to the position information of the vehicle; and analyzing whether overspeed driving conditions exist according to the driving speed of the vehicle, and generating overspeed abnormality reports. In this embodiment, all the vehicle application data before the actual vehicle start time is acquired in S100.
In the embodiment, the vehicle needs to be returned to the appointed place after being used, when the vehicle is driven into the appointed place and the driving speed is 0km/h more than 3min, the vehicle is recorded as the vehicle end, and the current time is recorded as the actual vehicle end time of the current vehicle; when the vehicle is started again and the running speed is greater than 5km/h for more than 3min, recording that a new disposable vehicle starts, and recording that the current time is the actual vehicle starting time of the secondary vehicle; and acquiring a GPS signal of the vehicle, and calculating the actual vehicle mileage from the actual vehicle use start time to the actual vehicle use end time. In other embodiments of the present application, vehicle condition analysis may also be performed by analyzing the ignition condition of the vehicle.
In order to standardize the driving behavior of the driver, in the application, the driving speed of the vehicle is also monitored in the process of using the vehicle, and if the driving speed of the vehicle exceeds a vehicle speed threshold value, a determination result of overspeed of the vehicle is generated.
S300, analyzing whether the actual vehicle use starting time is within any pre-vehicle time period, if yes, executing S400, if not, generating an unrequested vehicle use abnormal report, feeding back to a vehicle management platform, and reporting the current abnormal vehicle use condition.
S400, comparing the pre-vehicle mileage with the actual vehicle mileage, and generating a super mileage abnormality report according to the mileage comparison result.
S400 includes:
s401, analyzing whether the mileage of the pre-vehicle is greater than or equal to the mileage of the actual vehicle, if yes, judging that the current vehicle is not abnormal, if not, calculating the difference value between the mileage of the pre-vehicle and the mileage of the actual vehicle, if the difference value is greater than a preset difference value, generating a super mileage abnormality report, generating a data complement time period according to the actual vehicle starting time and the actual vehicle ending time, and continuously collecting later-period complement data in the data complement time period; specifically, the actual vehicle mileage is continuously updated and calculated in the vehicle using process, and when the actual vehicle mileage is larger than the pre-vehicle mileage, a certain super mileage is given in the scheme in consideration of mileage increase caused by temporary events such as traffic jam, route replacement, refueling and the like; specifically, continuously updating and calculating the difference value between the pre-vehicle mileage and the actual vehicle mileage until the difference value is larger than a preset difference value, generating a super mileage abnormality report at the moment, and feeding back to a vehicle management platform; after reporting, the position information of the vehicle is monitored, the actual vehicle end time is obtained, and after the vehicle is ended, a data complement time period is generated according to the actual vehicle start time and the actual vehicle end time. The later-stage supplementary transmission data comprise a plurality of supplementary vehicle time periods and corresponding supplementary vehicle mileage.
S402, analyzing whether later-period supplement data exist in a data supplement time period, if so, generating an actual vehicle use time period according to the actual vehicle use starting time and the actual vehicle use ending time, and analyzing whether the corresponding supplement vehicle time period is in the actual vehicle use time period to generate a coincidence rate analysis result; if the vehicle supplementing time period is completely within the actual vehicle using time period, the generated superposition rate analysis result is complete superposition; if the vehicle supplementing time period is partially overlapped with the actual vehicle using time period, analyzing the complement proportion of the vehicle supplementing time period in the actual vehicle using time period, if the complement proportion exceeds the preset proportion, generating a superposition rate analysis result to be approximately overlapped, otherwise, generating a superposition rate analysis result to be a small amount of superposition; in this embodiment, the preset ratio is 80%.
S403, according to the superposition rate analysis result, retrieving the vehicle-supplementing mileage corresponding to the vehicle-supplementing time period; specifically, if the superposition rate analysis result is complete superposition or approximately superposition, calling the vehicle-supplementing mileage corresponding to the vehicle-supplementing time period; if the superposition rate analysis result is a small quantity of superposition, whether other post-period supplementary transmission data exist is analyzed, if yes, the supplementary vehicle mileage corresponding to the supplementary vehicle time period is called, and if not, the data calling is not carried out. The principle is that the estimated vehicle time is inaccurate and a certain margin is set because the vehicle time period is possibly recorded in advance by a driver, but if the difference between the vehicle time and the actual vehicle time is too large, the later-period vehicle time period is submitted again to be used for data transmission.
S404, generating an actual application mileage according to the pre-vehicle mileage and the repair vehicle mileage; specifically, the sum of the mileage of the pre-vehicle and the mileage of all the retrieved complementary vehicles is calculated, and the output result is the actual application mileage.
S405, analyzing whether the actual application mileage is greater than or equal to the actual vehicle mileage, if not, calculating a difference value between the actual application mileage and the actual vehicle mileage, if the difference value is greater than a preset difference value, generating a super mileage confirmation report, feeding back to a vehicle management platform, and reporting the abnormal vehicle conditions.
As shown in fig. 2, this embodiment also provides a system for analyzing the rule violations of the official vehicles, which uses the method for analyzing the rule violations of the official vehicles. The apparatus includes: at least one processor, at least one storage medium, and at least one bus, and in this embodiment, at least one communication interface. Wherein the bus is used to implement direct connection communication of the components, the communication interface is used to communicate signaling or data with other node devices, and the storage medium stores machine readable instructions executable by the processor. When the device is running, the processor and the storage medium are communicated through the bus, and the machine readable instructions are executed by the processor and implement the steps of the method for the important vehicle monitoring task distribution system.
The embodiment also provides a official vehicle violation analysis storage medium for storing computer executable instructions which are used for realizing the official vehicle violation analysis method when being executed. The above-described introduction text methods may be stored in a storage medium if implemented in the form of software functional units and sold or used as a stand-alone product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the method embodiment. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
Example 2:
the basic principle of the embodiment 2 is the same as that of the embodiment 1, and the difference is that in the official vehicle violation analysis method of the embodiment 2, the vehicle application data also comprises pre-use vehicle personnel and a pre-use vehicle route, and the pre-use vehicle personnel comprises pre-use vehicle driver personnel and pre-use official vehicle personnel;
s100, respectively calling historical violation data of the pre-vehicle driver personnel and the pre-vehicle public service personnel, and judging that the corresponding pre-vehicle personnel is a key monitoring personnel if the historical violation data show that the historical vehicle violation rate and the historical vehicle violation times of the pre-vehicle driver personnel or the pre-vehicle public service personnel are both larger than the corresponding preset values;
s401 further comprises the steps of obtaining an actual vehicle route, comparing the pre-vehicle route with the actual vehicle route, and generating a route deviation ratio. If the route generation proportion is smaller than the preset proportion, generating a data complement time period directly according to the actual vehicle starting time and the actual vehicle ending time, and continuously collecting later-period complement data in the data complement time period. If the route deviation proportion is greater than or equal to the preset proportion, judging that the early warning degree is high, calling in-vehicle recording audio, driver driving video, automobile data recorder audio and automobile data recorder video ten minutes before and after the starting time of the route deviation period, carrying out semantic recognition on the audio, and outputting a semantic recognition result; summarizing and summarizing deviation reasons through an artificial intelligent model according to semantic recognition results, and automatically attaching the deviation reasons to a route deviation section; generating a data complement time period according to the actual vehicle starting time and the actual vehicle ending time, and continuously collecting later-period complement transmission data in the data complement time period;
specifically, a deviation reason is generated through the BP neural network module according to a semantic recognition result, a driver driving video and a vehicle recorder video. The BP neural network module comprises a BP neural network model, and the BP neural network module uses BP neural network technology to analyze the deviation reason; firstly, a three-layer BP neural network model is constructed, wherein the BP neural network model comprises an input layer, a hidden layer and an output layer, in the embodiment, a semantic recognition result, a driver driving video and a vehicle recorder video are taken as the input of the input layer, so that the input layer has 3 nodes, and the output is a deviation reason, so that the number of the nodes is 1; for hidden layers, the present embodiment uses the following formula to determine the number of hidden layer nodes:where l is the number of nodes in the hidden layer, n is the number of nodes in the input layer, m is the number of nodes in the output layer, a is a number between 1 and 10, and in this embodiment is taken as 6, so that the hidden layer has 8 nodes in total.BP neural networks typically employ Sigmoid micromanipulations and linear functions as the excitation functions of the network. The present embodiment selects the sigmoid tangent function tan sig as the excitation function of the hidden layer neurons. The predictive model selects an S-shaped logarithmic function tan sig as the excitation function of the neurons of the output layer.
S405, analyzing whether the actual application mileage is greater than or equal to the actual vehicle mileage, if so, acquiring a supermileage reason in the later-stage supplementary transmission data, comparing and checking the supermileage reason with the deviation reason obtained by analysis, if the comparison and check are consistent, judging that the vehicle is a normal vehicle, if the comparison and check are inconsistent, outputting the difference degree through an artificial intelligent model according to the supermileage reason and the deviation reason, generating an abnormal-use vehicle report, feeding back to a vehicle management platform, reporting the abnormal-use vehicle condition, and feeding back the artificial rechecking requirement; according to the historical rechecking data (rechecking confirmation abnormal proportion) of each rechecking person, grading the strictness of each rechecking person, wherein the higher the rechecking confirmation abnormal proportion is, the higher the grade is; and screening a rechecking person according to the output difference, wherein the grade of the rechecking person is in direct proportion to the difference.
The foregoing is merely exemplary of the present invention, and the specific structures and features well known in the art are not described in any way herein, so that those skilled in the art will be able to ascertain all prior art in the field, and will not be able to ascertain any prior art to which this invention pertains, without the general knowledge of the skilled person in the field, before the application date or the priority date, to practice the present invention, with the ability of these skilled persons to perfect and practice this invention, with the help of the teachings of this application, with some typical known structures or methods not being the obstacle to the practice of this application by those skilled in the art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (7)
1. A method for analyzing the rule violations of a public service vehicle is characterized by comprising the following steps: the method comprises the following steps:
s100, acquiring vehicle application data; the vehicle application data comprise a plurality of pre-vehicle time periods and corresponding pre-vehicle mileage;
s200, acquiring the position information of the vehicle in real time, and analyzing the actual vehicle starting time and the actual vehicle mileage according to the position information of the vehicle;
s300, analyzing whether the actual vehicle use starting time is within any pre-vehicle time period, if so, executing S400, and if not, generating an unrequested vehicle use abnormal report;
s400, comparing the pre-vehicle mileage with the actual vehicle mileage, and generating a super mileage abnormality report according to the mileage comparison result.
2. The official vehicle violation analysis method according to claim 1, wherein: s200, analyzing the actual vehicle end time according to the position information of the vehicle;
s400 includes:
s401, analyzing whether the mileage of the pre-vehicle is greater than or equal to the mileage of the actual vehicle, if not, calculating a difference value between the mileage of the pre-vehicle and the mileage of the actual vehicle, if the difference value is greater than a preset difference value, generating an abnormal report of the super mileage, generating a data complement time period according to the actual vehicle starting time and the actual vehicle ending time, and continuously collecting later complement data in the data complement time period;
the later-stage supplementary transmission data comprise a plurality of supplementary vehicle time periods and corresponding supplementary vehicle mileage.
3. The official vehicle violation analysis method according to claim 2, characterized in that: s400 further includes:
s402, analyzing whether later-period supplement data exist in a data supplement time period, if so, generating an actual vehicle use time period according to the actual vehicle use starting time and the actual vehicle use ending time, and analyzing whether the corresponding supplement vehicle time period is in the actual vehicle use time period to generate a coincidence rate analysis result;
s403, according to the superposition rate analysis result, retrieving the vehicle-supplementing mileage corresponding to the vehicle-supplementing time period;
s404, generating an actual application mileage according to the pre-vehicle mileage and the repair vehicle mileage;
s405, analyzing whether the actual application mileage is greater than or equal to the actual vehicle mileage, if not, calculating a difference value between the actual application mileage and the actual vehicle mileage, and if the difference value is greater than a preset difference value, generating a super mileage confirmation report.
4. The official vehicle violation analysis method according to claim 3, wherein: in S402, if the complementary vehicle time period is completely within the actual vehicle time period, the generated superposition rate analysis result is complete superposition; if the vehicle supplementing time period is partially overlapped with the actual vehicle using time period, analyzing the complement proportion of the vehicle supplementing time period in the actual vehicle using time period, if the complement proportion exceeds the preset proportion, generating a superposition rate analysis result to be approximately overlapped, otherwise, generating a superposition rate analysis result to be a small amount of superposition;
in S403, if the result of the coincidence rate analysis is complete coincidence or approximately coincidence, the vehicle repairing mileage corresponding to the vehicle repairing time period is called.
5. The official vehicle violation analysis method according to claim 3, wherein: s200 further includes: and acquiring the running speed of the vehicle, analyzing whether overspeed running conditions exist according to the running speed of the vehicle, and generating overspeed abnormality reports.
6. A official car violation analysis system is characterized in that: use of the official vehicle violation analysis method of any of the preceding claims 1-5.
7. A official vehicle violation analysis storage medium for storing computer executable instructions, characterized in that: the computer executable instructions, when executed, implement the official vehicle violation analysis method of any of the preceding claims 1-5.
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| CN202311257291.8A CN117314346A (en) | 2023-09-26 | 2023-09-26 | Official vehicle violation analysis method, system and storage medium |
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| CN202311257291.8A CN117314346A (en) | 2023-09-26 | 2023-09-26 | Official vehicle violation analysis method, system and storage medium |
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