CN116347344A - Method and device for monitoring running state of vehicle, storage medium and computer equipment - Google Patents

Method and device for monitoring running state of vehicle, storage medium and computer equipment Download PDF

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Publication number
CN116347344A
CN116347344A CN202310354557.4A CN202310354557A CN116347344A CN 116347344 A CN116347344 A CN 116347344A CN 202310354557 A CN202310354557 A CN 202310354557A CN 116347344 A CN116347344 A CN 116347344A
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vehicle
data
state
historical
abnormal
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孙振
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Ping An International Financial Leasing Co Ltd
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Ping An International Financial Leasing Co Ltd
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Priority to CN202310354557.4A priority Critical patent/CN116347344A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • H04W4/022—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences with dynamic range variability
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a method and a device for monitoring a vehicle running state, a storage medium and computer equipment, relates to the technical field of data processing and the field of financial service, and mainly aims to solve the problem of low monitoring accuracy of the vehicle running state. The method mainly comprises the steps of obtaining real-time stay point data and historical position state data of a vehicle and fence area data of at least one electronic fence of the vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle; determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data; and if the position state is abnormal, determining an operation state monitoring result of the vehicle according to the historical position state data and an operation state judging strategy, and sending the operation state monitoring result to a monitoring terminal corresponding to the vehicle. The method is mainly used for monitoring the running state of the vehicle.

Description

Method and device for monitoring running state of vehicle, storage medium and computer equipment
Technical Field
The present invention relates to the field of data processing and financial services, and in particular, to a method and apparatus for monitoring a vehicle running state, a storage medium, and a computer device.
Background
The automobile financing lease is a financial service industry which develops faster in recent years, the automobile is purchased in a financing lease mode, and after paying a certain amount of pay-for-sale, an automobile purchaser can have the use right of the automobile and needs to pay lease and interest in a month in the use process. As an sponsor, namely a financing rental company or a bank, in order to ensure the reliability of the fund recovery, the running condition of the vehicle, which can represent the business stability of a renter, is monitored so as to realize the monitoring and early warning of the running condition of the vehicle.
According to an existing method for monitoring the running state of the rental car, an electronic fence is built according to residence addresses of vehicle purchasers, running states of the rental car inside and outside the electronic fence are monitored, when the rental car frequently exceeds the electronic fence, abnormal running of the rental car is judged, and therefore unstable running of the rental car is determined and early warning is conducted. However, when the operation business of the vehicle purchase person is changed or the resident address is changed, the abnormal state of the vehicle is frequently monitored, more false alarms are generated, and the accuracy of the monitoring result of the vehicle operation state is lower.
Disclosure of Invention
In view of the above, the present invention provides a method and apparatus for monitoring a vehicle running state, a storage medium, and a computer device, and is mainly aimed at solving the problem of low accuracy in monitoring an existing vehicle running state.
According to one aspect of the present invention, there is provided a method of monitoring a vehicle running state, comprising:
acquiring real-time stay point data, historical position state data and fence area data of at least one electronic fence of a vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle;
determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data;
and if the position state is abnormal, determining an operation state monitoring result of the vehicle according to the historical position state data and an operation state judging strategy, and sending the operation state monitoring result to a monitoring terminal corresponding to the vehicle.
Further, before the acquiring the real-time stop point data, the historical position state data, and the fence area data of the at least one electronic fence of the vehicle, the method further includes:
acquiring historical stopping point data of the vehicle, wherein the historical stopping point data is calculated based on historical operation data of the vehicle in a first preset time interval;
obtaining center position data of at least one stay point center position by carrying out cluster analysis processing on the historical stay point data;
And constructing at least one electronic fence according to the central position data and preset fence area parameters, wherein the preset fence area parameters are configured based on at least one of the operation business type and the historical monitoring data of the vehicle.
Further, before the constructing at least one electronic fence according to the center position data and the preset fence area parameters, the method further includes:
acquiring operation business types and historical monitoring data of the vehicle, wherein the historical monitoring data at least comprises one of abnormal operation times and abnormal operation levels;
determining initial fence area parameters matched with the operation service types from the fence area parameter mapping relation set;
and correcting the initial fence area parameter based on the abnormal operation times and/or the abnormal operation level, and determining the corrected result as a preset fence area parameter.
Further, if the location state is abnormal, determining the running state monitoring result of the vehicle according to the historical location state data and the running state judging strategy includes:
calculating to obtain a position abnormality total number according to the position abnormality times in the historical position state data in a second preset time interval, and calculating to obtain a position abnormality rate according to the position abnormality total number and the stay point total number in the historical position state data;
If the total number of the position anomalies is larger than a first preset threshold value and the position anomaly rate is larger than a second preset threshold value, determining that the running state monitoring result of the vehicle is a first anomaly state;
and if the total number of the position anomalies is larger than a first preset threshold value or the position anomaly rate is larger than a second preset threshold value, determining that the running state monitoring result of the vehicle is a second anomaly state.
Further, before determining the running state monitoring result of the vehicle according to the historical position state data and the running state judging strategy if the position state is abnormal, the method further includes:
calculating the average position abnormal total number of the vehicle according to the second preset time interval and the historical position state data, and configuring a first preset threshold according to the average position abnormal total number;
acquiring global vehicle historical position state data of global vehicles with the same operation service types of the vehicles;
and calculating a position abnormality rate according to the global vehicle historical position state data, and configuring a second preset threshold according to the position abnormality rate.
Further, after determining the running state monitoring result of the vehicle according to the historical position state data and the running state judging strategy if the position state is abnormal, the method further includes:
If the running state monitoring result is a first abnormal state, generating early warning information for indicating that the running of the vehicle is abnormal;
if the running state monitoring result is a second abnormal state, counting the running state monitoring result corresponding to the second abnormal state, and when the counting value is larger than a preset counting threshold value, carrying out zero resetting on the counting value and generating early warning information for indicating that the running of the vehicle is abnormal;
and sending the early warning information to a monitoring terminal corresponding to the vehicle.
Further, the method further comprises:
and matching at least one of the acquired historical monitoring data of the vehicle and the electronic fence updating time information with a preset fence updating condition, and updating the electronic fence of the vehicle when the matching result is that the vehicle passes.
According to another aspect of the present invention, there is provided a monitoring device for a vehicle running state, comprising:
the system comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring real-time stay point data, historical position state data and fence area data of at least one electronic fence of a vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle;
The determining module is used for determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data;
and the sending module is used for determining the running state monitoring result of the vehicle according to the historical position state data and the running state judging strategy if the position state is abnormal, and sending the running state monitoring result to a monitoring terminal corresponding to the vehicle.
Further, the apparatus further comprises:
the acquisition module is further used for acquiring historical stopping point data of the vehicle, wherein the historical stopping point data is calculated based on historical operation data of the vehicle in a first preset time interval;
the processing module is used for obtaining the central position data of the central position of at least one stay point by carrying out cluster analysis processing on the historical stay point data;
the construction module is used for constructing at least one electronic fence according to the central position data and preset fence area parameters, and the preset fence area parameters are configured based on at least one of the operation business type and the historical monitoring data of the vehicle.
Further, the apparatus further comprises:
The acquisition module is further used for acquiring the operation service type and the history monitoring data of the vehicle, wherein the history monitoring data at least comprises one of abnormal operation times and abnormal operation levels;
the determining module is used for determining initial fence area parameters matched with the operation service type from the fence area parameter mapping relation set;
and the correction module is used for correcting the initial fence area parameters based on the abnormal operation times and/or the abnormal operation levels, and determining the corrected results as preset fence area parameters.
Further, the sending module includes:
the calculating unit is used for calculating the total number of position anomalies according to the number of position anomalies in the historical position state data in the previous second preset time interval, and calculating the position anomaly rate according to the total number of position anomalies and the total number of stay points in the historical position state data;
the first determining unit is used for determining that the running state monitoring result of the vehicle is a first abnormal state if the total number of the position abnormalities is larger than a first preset threshold value and the position abnormality rate is larger than a second preset threshold value;
and the second determining unit is used for determining that the running state monitoring result of the vehicle is a second abnormal state if the total number of the position abnormalities is larger than a first preset threshold value or the position abnormality rate is larger than a second preset threshold value.
Further, the apparatus further comprises:
the first configuration module is used for calculating the average position abnormal total number of the vehicle according to the second preset time interval and the historical position state data, and configuring a first preset threshold according to the average position abnormal total number;
the acquisition module is further used for acquiring global vehicle historical position state data of global vehicles with the same operation service types of the vehicles;
and the second configuration module is used for calculating the position abnormality rate according to the global vehicle historical position state data and configuring a second preset threshold according to the position abnormality rate.
Further, the apparatus further comprises:
the first generation module is used for generating early warning information for indicating abnormal operation of the vehicle if the operation state monitoring result is a first abnormal state;
the second generation module is used for counting the running state monitoring result corresponding to the second abnormal state if the running state monitoring result is the second abnormal state, carrying out zero resetting processing on the counting value when the counting value is larger than a preset counting threshold value, and generating early warning information for indicating that the running of the vehicle is abnormal;
And the sending module is also used for sending the early warning information to a monitoring terminal corresponding to the vehicle.
Further, the apparatus further comprises:
and the updating module is used for matching at least one of the acquired historical monitoring data of the vehicle and the electronic fence updating time information with a preset fence updating condition, and updating the electronic fence of the vehicle when the matching result is that the vehicle passes.
According to still another aspect of the present invention, there is provided a storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the method of monitoring a vehicle running state as described above.
According to still another aspect of the present invention, there is provided a computer apparatus including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the vehicle running state monitoring method.
By means of the technical scheme, the technical scheme provided by the embodiment of the invention has at least the following advantages:
The invention provides a method and a device for monitoring the running state of a vehicle, a storage medium and computer equipment, wherein the method comprises the steps of firstly acquiring real-time stay point data and historical position state data of the vehicle and fence area data of at least one electronic fence of the vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle; determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data; and if the position state is abnormal, determining an operation state monitoring result of the vehicle according to the historical position state data and an operation state judging strategy, and sending the operation state monitoring result to a monitoring terminal corresponding to the vehicle. Compared with the prior art, the method and the device for monitoring the running state of the vehicle realize dynamic updating of the electronic fence by monitoring the running state of the vehicle based on the electronic fence determined by the historical stay point data of the current vehicle and the historical position state data of the current vehicle, greatly reduce the error judgment probability of the abnormal state, and simultaneously effectively improve the accuracy of the running state monitoring of the vehicle.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 shows a flow chart of a method for monitoring a vehicle running state according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method for monitoring a vehicle running state according to an embodiment of the present invention;
FIG. 3 is a flowchart of another method for monitoring a vehicle running state according to an embodiment of the present invention;
FIG. 4 shows a block diagram of a vehicle running state monitoring device according to an embodiment of the present invention;
fig. 5 shows a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Aiming at the existing method for monitoring the running state of the leasing vehicle, an electronic fence is built according to the residence address of a vehicle purchasing person, the running state of the leasing vehicle inside and outside the electronic fence is monitored, when the leasing vehicle frequently exceeds the electronic fence, abnormal running of the leasing vehicle is judged, and therefore unstable running of the leasing vehicle is determined and early warning is carried out. However, when the operation business of the vehicle purchase person changes or the resident address also changes, the abnormal state of the vehicle is frequently monitored, more false alarms are generated, and the accuracy of the monitoring result of the vehicle operation state is lower, and the embodiment of the invention provides a method for monitoring the vehicle operation state, as shown in fig. 1, which comprises the following steps:
101. real-time stop point data, historical position state data, and fence area data of at least one electronic fence of the vehicle are obtained.
In the embodiment of the present invention, the vehicle as the monitoring target may be a truck, such as a pick-up card, a light truck, a pick-up card, or a passenger vehicle, such as a business, a micro-bread, or the like, and the embodiment of the present invention is not limited specifically. The real-time stay point data are data of stay positions calculated in real time according to the running monitoring data of the current vehicle. The historical position state data is statistical data of whether the stay point position exceeds the electronic fence in a period of time before the current vehicle, for example, the number of times that the stay point position exceeds the electronic fence, or the accumulated time that the stay point position exceeds the electronic fence, etc., and the embodiment of the invention is not limited in detail. And the fence area data of the electronic fence is range data or boundary data of the fence area corresponding to the electronic fence. The electronic fence of the current vehicle is not limited to one, and may be determined according to the running condition of the current vehicle, for example, the current vehicle has a larger running range or covers running services in multiple directions, so that multiple long-term stay points exist, and multiple electronic fences are needed to be corresponding.
In the embodiment of the invention, the real-time stay point data is calculated based on the distance and time in the positioning information uploaded by the GPS positioning system installed on the current vehicle. For example, if the distance between the positioning point A2 and the last positioning point A3 is less than 500 m and the reporting time is not more than 30 minutes, the positioning point A1 is compared with the last positioning point A2, if the distance between the positioning point A1 and the last positioning point A3 is less than 500 m and the reporting time is not more than 30 minutes, the positioning point A4 is continuously compared with the last positioning point A4, the positioning point A1 and the positioning point A2 are circularly verified until A1 and An meet the requirement of the positioning point A1 and An are less than 500 m and the reporting time is more than 30 minutes, the time of the vehicle from the point An is judged to be stopped until the next positioning point Bn does not meet the distance of less than 500 m and the reporting time is not more than 30 minutes, the stopping time between the points An and Bn is recorded, and the geometric centers of the reporting points are taken, so that one stopping point can be obtained.
The electronic fence is calculated based on historical stay points of the vehicle. For example, capturing historical stay point data of a current vehicle in a preset time interval, and defining an electronic fence according to stay frequencies of the historical stay points in different positions, wherein the preset time interval can be one month or two months, and the electronic fence is customized according to actual application scene requirements. Through calculating the electronic fence based on historical stay points, the dynamic update of the electronic fence can be realized, and under the condition that a renter of a vehicle changes a home address or a business operation route, the electronic fence of the vehicle can be flexibly updated, so that the accuracy of vehicle monitoring is improved, error reporting, false alarm and the like are avoided, and the accuracy of vehicle operation monitoring is improved.
102. And determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data.
In the embodiment of the invention, in order to judge whether the running stop point of the current vehicle is in the electronic fence, the real-time stop point data is compared with the fence area data, if the real-time stop point data is not in the fence area data range, the position state of the current vehicle is judged to be abnormal, if the real-time stop point data is in the fence area data range, the real-time stop point data of the current vehicle is in the electronic fence, and if the real-time stop point data is not in the fence area data range, the position state of the current vehicle is judged to be normal.
It should be noted that, through the comparison of the stay point data and the fence area data, whether the vehicle is in the electronic fence is judged, and a large amount of operation positioning data of the vehicle is converted into a plurality of stay point data, namely, under the condition that the vehicle is in a driving state, the data do not need to be compared, and the data processing amount in the vehicle position state judging process can be greatly reduced, so that the operation resource consumption of equipment is effectively reduced.
103. And if the position state is abnormal, determining an operation state monitoring result of the vehicle according to the historical position state data and an operation state judging strategy, and sending the operation state monitoring result to a monitoring terminal corresponding to the vehicle.
In the embodiment of the invention, if the position state of the vehicle is abnormal, the behavior of the vehicle exceeding the electronic fence once can be determined only when the vehicle is monitored currently, and the behavior can be determined as the sporadic behavior and cannot be used as the basis for determining the running state of the vehicle. Therefore, the running state of the vehicle is also determined based on the history position state data of the current vehicle, the running state determination policy. For example, if the historical position state data is accumulated for 7 times exceeding the fence, the current exceeding fence is added, the total times exceeding the fence is 8 times, and the running state judgment strategy comprises accumulated for 7 times exceeding the fence time threshold and accumulated for 10 hours exceeding the fence accumulation time threshold, and then the running state monitoring result of the current vehicle is judged to be abnormal. The operation state determination policy may be determined based on global vehicle historical position state data under the operation service type of the vehicle, for example, if the current vehicle is an inter-city passenger vehicle, historical monitoring data of all inter-city passenger vehicles that can be collected is obtained, if the average number of times of exceeding the electronic fence in one month in the historical monitoring data is 7 times, the threshold of the number of times of exceeding the fence in the operation state determination policy is configured to be 7 times, and may be determined based on historical operation data of the vehicle, for example, the average number of times of exceeding the fence in the historical operation data of the current vehicle is 10 hours, the threshold of exceeding the fence time in the operation state determination policy is configured to be 7 times, and of course, the operation state determination policy may also be set by a ratio of the average number of times of exceeding the fence to the average number of times of normally operating months, where the average number of times of exceeding the fence is 10 hours. The monitoring terminal corresponding to the vehicle may be a computer terminal of a leasing company, or may be a mobile terminal of a service person responsible for monitoring the current vehicle, which is not particularly limited in the embodiment of the present invention.
It should be noted that, by determining the operation state determination policy according to the global vehicle history position state data of the same operation service type as the current vehicle, the configuration of the operation state determination policy can be closer to the current operation state of the current vehicle, so that the operation monitoring state determination is more accurate.
For further explanation and limitation, before the step of obtaining the real-time stop point data, the historical position status data, and the fence area data of at least one electronic fence of the vehicle, as shown in fig. 2, the method further includes:
201. historical stopping point data of the vehicle is obtained.
202. And carrying out cluster analysis processing on the historical stay point data to obtain the center position data of the center position of at least one stay point.
203. And constructing at least one electronic fence according to the central position data and the preset fence area parameters.
In the embodiment of the invention, in order to determine the center point of the historical stay point data, the historical stay points of the vehicle are clustered to obtain at least one clustering center in the historical stay points. Specifically, k history stay points are selected as initial center points, distances from any one history stay point to k initial center points are obtained, the history stay point with the smallest distance value with a certain initial center point is classified as a cluster where the initial center point is located according to the distance value, and the initial center point of the cluster is updated by using a mean value method to obtain one or more cluster center points in the history stay points. The historical stay point data is calculated based on historical operation data of the vehicle in a first preset time interval, the first preset time interval can be three months, and the historical stay point data can be customized according to actual application requirements. After the cluster center points of the historical stay points are obtained, the position center of the center point is used as the center point of the electronic fence, and then the electronic fence is generated according to the preset fence area parameters. The historical stay point data is calculated based on the historical operation data of the vehicle in a first preset time interval, and a method for calculating the historical stay point data based on the historical operation data is the same as a calculation process of the real-time stay point data, and the embodiment of the invention is not repeated. The first preset time interval may be customized according to the actual application scenario requirement, and the embodiment of the present invention is not specifically limited.
It is noted that the preset fence area parameter may be configured based on at least one of an operation service type of the vehicle, historical monitoring data. Wherein the historical monitoring data includes data characterizing a degree of operational state anomalies over a historical time of the vehicle. The preset fence area parameter is a fence area range value of the electronic fence, such as a fence radius. Taking the operation service type as an example, the operation service type of the vehicle a is long-distance express, the preset fence area parameter can be set to 1000km, the operation service type of the vehicle b is city distribution, and the preset fence area parameter can be set to 100km, and the embodiment of the invention is not particularly limited. The electronic fence range is configured according to the operation business type, so that the setting of the electronic fence is more in line with the actual running condition of the corresponding vehicle, and the situation that the electronic fence cannot be monitored in place due to the overlarge range or misjudgment is caused due to the overlarge range of the electronic fence is avoided, thereby effectively ensuring the accuracy of monitoring the running state of the vehicle.
In one embodiment of the present invention, for further explanation and limitation, before the step of constructing at least one electronic fence according to the center position data and the preset fence area parameters, the method further includes:
Acquiring the operation service type and history monitoring data of the vehicle;
determining initial fence area parameters matched with the operation service types from the fence area parameter mapping relation set;
and correcting the initial fence area parameter based on the abnormal operation times and/or the abnormal operation level, and determining the corrected result as a preset fence area parameter.
In the embodiment of the invention, the fence area parameter mapping relation set comprises mapping relations between different operation service types and different fence area parameters. In order to further accurately determine the range of the electronic fence, the fence area parameter determined based on the operation service type is used as an initial fence area parameter, and the initial fence area parameter is corrected based on historical monitoring data. The historical monitoring data at least comprises one of abnormal operation times and abnormal operation levels. And correcting the initial fence area parameter based on the abnormal operation times, for example, if the abnormal operation times of the current vehicle are larger than a first abnormal operation times threshold, determining that the correction coefficient is 1.1, if the abnormal operation times of the current vehicle are smaller than a second abnormal operation times threshold, determining that the correction coefficient is 0.9, and finally, configuring the product of the initial fence area parameter and the correction coefficient as a preset fence area parameter. The initial fence area parameter is corrected based on the abnormal operation level, for example, if the abnormal operation level of the current vehicle is the level indicating the highest degree of abnormality, the correction coefficient is determined to be 0.9, and if the abnormal operation level is the level indicating the lowest degree of abnormality, the correction coefficient is determined to be 1.1.
When the number of anomalies is larger or the anomaly level is higher, the correction coefficient can be larger than 1 or smaller than 1, when the number of anomalies is larger than 1, the initial fence area is enlarged, the problem that the false judgment probability of the running state is increased due to the fact that the fence range set according to the operation service type is not suitable for the running condition of the current vehicle is avoided, when the number of anomalies is smaller than 1, the number of anomalies and the anomaly level are equivalent to the credit judgment standard of the vehicle, the initial fence area is reduced, the anomalies can be triggered faster, and the monitoring personnel can give higher attention to the vehicle. Therefore, the correction modes corresponding to different historical monitoring data can be set according to actual application requirements, and the embodiment of the invention is not particularly limited.
In an embodiment of the present invention, for further explanation and limitation, as shown in fig. 3, if the location status is abnormal, determining the running status monitoring result of the vehicle according to the historical location status data and the running status determination policy includes:
301. and calculating the total number of position anomalies according to the number of position anomalies in the historical position state data in the previous second preset time interval, and calculating the position anomaly rate according to the total number of position anomalies and the total number of stay points in the historical position state data.
302. And if the total number of the position anomalies is larger than a first preset threshold value and the position anomaly rate is larger than a second preset threshold value, determining that the running state monitoring result of the vehicle is a first anomaly state.
303. And if the total number of the position anomalies is larger than a first preset threshold value or the position anomaly rate is larger than a second preset threshold value, determining that the running state monitoring result of the vehicle is a second anomaly state.
In the embodiment of the present invention, the total number of position anomalies is 1 plus the number of position anomalies in the historical position status data within a second preset time interval, where the second preset time interval may be one month or may be customized, and the embodiment of the present invention is not specifically limited. The first abnormal state is characterized by a greater degree of abnormality than the second abnormal state. The first preset threshold value is an abnormal total number threshold value, the second preset threshold value is an abnormal rate threshold value, if the total number of position abnormalities and the position abnormality rate of the current vehicle are both larger than the corresponding threshold values, the abnormal degree is higher, and the running state monitoring result is determined to be a first abnormal state; if only one of the total number of position anomalies and the position anomaly rate of the current vehicle exceeds the corresponding threshold value, the anomaly degree is lower, and the running state monitoring result is determined to be in a second anomaly state. And if the total number of the abnormal positions and the abnormal position rate of the current vehicle are smaller than or equal to the corresponding threshold values, determining the running state monitoring result as a normal state. The first preset threshold and the second preset threshold can be customized according to the actual application scene requirement, and the embodiment of the invention is not particularly limited.
The position abnormality rate is the ratio of the total number of position abnormalities to the total number of stay points in the history position state data. Because the number of the stopping points of each vehicle in the same actual is different, the total stopping situation of the vehicle cannot be judged by the position abnormal total number, therefore, the running state monitoring result is judged in a combined way based on the position abnormal rate and the position abnormal total number, and the abnormal states are divided in different basic ways, so that the accuracy of the judgment of the running state monitoring result is effectively improved.
In an embodiment of the present invention, for further explanation and limitation, before determining the running state monitoring result of the vehicle according to the historical location state data and the running state determination policy if the location state is abnormal, the method further includes:
calculating the average position abnormal total number of the vehicle according to the second preset time interval and the historical position state data, and configuring a first preset threshold according to the average position abnormal total number;
acquiring global vehicle historical position state data of global vehicles with the same operation service types of the vehicles;
and calculating a position abnormality rate according to the global vehicle historical position state data, and configuring a second preset threshold according to the position abnormality rate.
In the embodiment of the invention, the historical position state data of the current vehicle is divided into a plurality of groups of position state data according to a second preset time interval, the historical position anomaly total number in each group of position state data is extracted, the average value of the historical position anomaly total numbers of all groups is calculated to obtain the average position anomaly total number, and then a first preset threshold value is configured according to the average position anomaly total number, for example, the average position anomaly total number is 10, and the first preset threshold value is configured to be 10 and 12. The method comprises the steps of obtaining residence point data of other vehicles in the same city, the same vehicle type and the same operation service as the current vehicle, namely global vehicle historical position state data, calculating the ratio of the abnormal residence time to the total residence time or the ratio of the abnormal residence time to the total residence time in a second preset time interval according to the residence time or the residence time to obtain a position abnormality rate, and configuring a second preset threshold according to the position abnormality rate, for example, the position abnormality rate is 20%, and the first preset threshold is 20% and 25%, wherein the embodiment of the invention is not particularly limited.
It should be noted that, determining the first preset threshold based on the historical position state data of the current vehicle and determining the second preset threshold based on the operation data of the global vehicle with the same operation service type, so as to evaluate the operation condition of the vehicle from the angles of the current vehicle and other vehicles with the same operation service type, thereby improving the accuracy of the abnormality determination.
In an embodiment of the present invention, for further explanation and limitation, if the location status is abnormal, after determining the running status monitoring result of the vehicle according to the historical location status data and the running status determination policy, the method further includes:
if the running state monitoring result is a first abnormal state, generating early warning information for indicating that the running of the vehicle is abnormal;
if the running state monitoring result is a second abnormal state, counting the running state monitoring result corresponding to the second abnormal state, and when the counting value is larger than a preset counting threshold value, carrying out zero resetting on the counting value and generating early warning information for indicating that the running of the vehicle is abnormal;
and sending the early warning information to a monitoring terminal corresponding to the vehicle.
In the embodiment of the invention, when the current running state monitoring result of the vehicle is the first abnormal state representing serious abnormality, early warning information is directly generated. When the running state monitoring result of the current vehicle is a second abnormal state representing lower abnormality, early warning information is not generated immediately, the number of times of generating the second abnormal state is counted, and when the counted value is larger than a preset counting threshold value, early warning information is generated, and meanwhile, the counted value is zeroed. The preset count threshold may be 2 or 3, or may be customized according to an actual application scenario, which is not specifically limited in the embodiment of the present invention. By adopting different early warning information triggering mechanisms aiming at running state monitoring results with different abnormal degrees, false early warning can be effectively avoided, and early warning accuracy is effectively improved.
In one embodiment of the present invention, for further explanation and limitation, the method further comprises:
and matching at least one of the acquired historical monitoring data of the vehicle and the electronic fence updating time information with a preset fence updating condition, and updating the electronic fence of the vehicle when the matching result is that the vehicle passes.
In the embodiment of the invention, the preset fence updating condition comprises at least one of an abnormal running state frequency threshold value and a preset updating time interval. And when the running state anomaly times in the history monitoring data of the current vehicle are greater than the running state anomaly times threshold, updating the electronic fence of the current vehicle. Before the running state anomaly times in the history monitoring data of the current vehicle are larger than the running state anomaly times threshold, if the updating time of the previous electronic fence reaches the preset updating time interval, the electronic fence of the current vehicle is updated. The electronic fence can be updated based on the abnormal times of the running state or based on the updating time interval, and the embodiment of the invention is not particularly limited. Through the timely update to the electronic fence, the operation state monitoring error caused by the fact that the operation route of the vehicle is changed and the electronic fence range is not applicable can be effectively avoided, and therefore the accuracy of the operation state monitoring result of the vehicle is effectively improved.
The invention provides a method for monitoring the running state of a vehicle, which comprises the steps of firstly, acquiring real-time stay point data and historical position state data of the vehicle and fence area data of at least one electronic fence of the vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle; determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data; and if the position state is abnormal, determining an operation state monitoring result of the vehicle according to the historical position state data and an operation state judging strategy, and sending the operation state monitoring result to a monitoring terminal corresponding to the vehicle. Compared with the prior art, the method and the device for monitoring the running state of the vehicle realize dynamic updating of the electronic fence by monitoring the running state of the vehicle based on the electronic fence determined by the historical stay point data of the current vehicle and the historical position state data of the current vehicle, greatly reduce the error judgment probability of the abnormal state, and simultaneously effectively improve the accuracy of the running state monitoring of the vehicle.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present invention provides a device for monitoring a running state of a vehicle, as shown in fig. 4, where the device includes:
An acquisition module 41, configured to acquire real-time stay point data, historical position status data, and fence area data of at least one electronic fence of the vehicle, where the electronic fence is calculated based on the historical stay point data of the vehicle;
a determining module 42, configured to determine a position state of the vehicle according to a comparison result of the real-time stay point data and the fence area data;
and the sending module 43 is configured to determine an operation state monitoring result of the vehicle according to the historical position state data and an operation state determination policy if the position state is abnormal, and send the operation state monitoring result to a monitoring terminal corresponding to the vehicle.
Further, the apparatus further comprises:
the obtaining module 41 is further configured to obtain historical stopping point data of the vehicle, where the historical stopping point data is calculated based on historical operation data of the vehicle in a first preset time interval;
the processing module is used for obtaining the central position data of the central position of at least one stay point by carrying out cluster analysis processing on the historical stay point data;
the construction module is used for constructing at least one electronic fence according to the central position data and preset fence area parameters, and the preset fence area parameters are configured based on at least one of the operation business type and the historical monitoring data of the vehicle.
Further, the apparatus further comprises:
the obtaining module 41 is further configured to obtain an operation service type of the vehicle and historical monitoring data, where the historical monitoring data includes at least one of an abnormal operation number and an abnormal operation level;
a determining module 42, configured to determine, from a set of fence area parameter mapping relationships, an initial fence area parameter that matches the operation service type;
and the correction module is used for correcting the initial fence area parameters based on the abnormal operation times and/or the abnormal operation levels, and determining the corrected results as preset fence area parameters.
Further, the transmitting module 43 includes:
the calculating unit is used for calculating the total number of position anomalies according to the number of position anomalies in the historical position state data in the previous second preset time interval, and calculating the position anomaly rate according to the total number of position anomalies and the total number of stay points in the historical position state data;
the first determining unit is used for determining that the running state monitoring result of the vehicle is a first abnormal state if the total number of the position abnormalities is larger than a first preset threshold value and the position abnormality rate is larger than a second preset threshold value;
And the second determining unit is used for determining that the running state monitoring result of the vehicle is a second abnormal state if the total number of the position abnormalities is larger than a first preset threshold value or the position abnormality rate is larger than a second preset threshold value.
Further, the apparatus further comprises:
the first configuration module is used for calculating the average position abnormal total number of the vehicle according to the second preset time interval and the historical position state data, and configuring a first preset threshold according to the average position abnormal total number;
the acquiring module 41 is further configured to acquire global vehicle historical position status data of global vehicles with the same operation service type of the vehicle;
and the second configuration module is used for calculating the position abnormality rate according to the global vehicle historical position state data and configuring a second preset threshold according to the position abnormality rate.
Further, the apparatus further comprises:
the first generation module is used for generating early warning information for indicating abnormal operation of the vehicle if the operation state monitoring result is a first abnormal state;
the second generation module is used for counting the running state monitoring result corresponding to the second abnormal state if the running state monitoring result is the second abnormal state, carrying out zero resetting processing on the counting value when the counting value is larger than a preset counting threshold value, and generating early warning information for indicating that the running of the vehicle is abnormal;
The sending module 43 is further configured to send the early warning information to a monitoring terminal corresponding to the vehicle.
Further, the apparatus further comprises:
and the updating module is used for matching at least one of the acquired historical monitoring data of the vehicle and the electronic fence updating time information with a preset fence updating condition, and updating the electronic fence of the vehicle when the matching result is that the vehicle passes.
The invention provides a monitoring device for a running state of a vehicle, which comprises the steps of firstly acquiring real-time stay point data and historical position state data of the vehicle and fence area data of at least one electronic fence of the vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle; determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data; and if the position state is abnormal, determining an operation state monitoring result of the vehicle according to the historical position state data and an operation state judging strategy, and sending the operation state monitoring result to a monitoring terminal corresponding to the vehicle. Compared with the prior art, the method and the device for monitoring the running state of the vehicle realize dynamic updating of the electronic fence by monitoring the running state of the vehicle based on the electronic fence determined by the historical stay point data of the current vehicle and the historical position state data of the current vehicle, greatly reduce the error judgment probability of the abnormal state, and simultaneously effectively improve the accuracy of the running state monitoring of the vehicle.
According to one embodiment of the present invention, there is provided a storage medium storing at least one executable instruction for performing the method for monitoring the running state of a vehicle in any of the above method embodiments.
Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention, and the specific embodiment of the present invention is not limited to the specific implementation of the computer device.
As shown in fig. 5, the computer device may include: a processor 502, a communication interface (Communications Interface) 504, a memory 506, and a communication bus 508.
Wherein: processor 502, communication interface 504, and memory 506 communicate with each other via communication bus 508.
A communication interface 504 for communicating with network elements of other devices, such as clients or other servers.
The processor 502 is configured to execute the program 510, and may specifically perform relevant steps in the above-described embodiments of the method for monitoring the vehicle running state.
In particular, program 510 may include program code including computer-operating instructions.
The processor 502 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included in the computer device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
A memory 506 for storing a program 510. Memory 506 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 510 may be specifically operable to cause the processor 502 to:
acquiring real-time stay point data, historical position state data and fence area data of at least one electronic fence of a vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle;
determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data;
and if the position state is abnormal, determining an operation state monitoring result of the vehicle according to the historical position state data and an operation state judging strategy, and sending the operation state monitoring result to a monitoring terminal corresponding to the vehicle.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. 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 (10)

1. A method of monitoring an operating condition of a vehicle, comprising:
acquiring real-time stay point data, historical position state data and fence area data of at least one electronic fence of a vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle;
determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data;
and if the position state is abnormal, determining an operation state monitoring result of the vehicle according to the historical position state data and an operation state judging strategy, and sending the operation state monitoring result to a monitoring terminal corresponding to the vehicle.
2. The method of claim 1, wherein prior to the acquiring real-time stop-point data, historical location status data, and fence area data for at least one electronic fence of the vehicle, the method further comprises:
Acquiring historical stopping point data of the vehicle, wherein the historical stopping point data is calculated based on historical operation data of the vehicle in a first preset time interval;
obtaining center position data of at least one stay point center position by carrying out cluster analysis processing on the historical stay point data;
and constructing at least one electronic fence according to the central position data and preset fence area parameters, wherein the preset fence area parameters are configured based on at least one of the operation business type and the historical monitoring data of the vehicle.
3. The method of claim 2, wherein prior to constructing at least one electronic fence based on the center position data and the preset fence area parameters, the method further comprises:
acquiring operation business types and historical monitoring data of the vehicle, wherein the historical monitoring data at least comprises one of abnormal operation times and abnormal operation levels;
determining initial fence area parameters matched with the operation service types from the fence area parameter mapping relation set;
and correcting the initial fence area parameter based on the abnormal operation times and/or the abnormal operation level, and determining the corrected result as a preset fence area parameter.
4. The method of claim 1, wherein determining the vehicle operating state monitoring result based on the historical position state data and an operating state determination policy if the position state is abnormal comprises:
calculating to obtain a position abnormality total number according to the position abnormality times in the historical position state data in a second preset time interval, and calculating to obtain a position abnormality rate according to the position abnormality total number and the stay point total number in the historical position state data;
if the total number of the position anomalies is larger than a first preset threshold value and the position anomaly rate is larger than a second preset threshold value, determining that the running state monitoring result of the vehicle is a first anomaly state;
and if the total number of the position anomalies is larger than a first preset threshold value or the position anomaly rate is larger than a second preset threshold value, determining that the running state monitoring result of the vehicle is a second anomaly state.
5. The method of claim 4, wherein if the location status is abnormal, the method further comprises, prior to determining the vehicle's operational status monitoring result based on the historical location status data, operational status determination policy:
Calculating the average position abnormal total number of the vehicle according to the second preset time interval and the historical position state data, and configuring a first preset threshold according to the average position abnormal total number;
acquiring global vehicle historical position state data of global vehicles with the same operation service types of the vehicles;
and calculating a position abnormality rate according to the global vehicle historical position state data, and configuring a second preset threshold according to the position abnormality rate.
6. The method of claim 4, wherein after determining the vehicle operation state monitoring result according to the historical position state data and operation state determination policy if the position state is abnormal, the method further comprises:
if the running state monitoring result is a first abnormal state, generating early warning information for indicating that the running of the vehicle is abnormal;
if the running state monitoring result is a second abnormal state, counting the running state monitoring result corresponding to the second abnormal state, and when the counting value is larger than a preset counting threshold value, carrying out zero resetting on the counting value and generating early warning information for indicating that the running of the vehicle is abnormal;
And sending the early warning information to a monitoring terminal corresponding to the vehicle.
7. The method according to any one of claims 1-6, further comprising:
and matching at least one of the acquired historical monitoring data of the vehicle and the electronic fence updating time information with a preset fence updating condition, and updating the electronic fence of the vehicle when the matching result is that the vehicle passes.
8. A vehicle running state monitoring device, characterized by comprising:
the system comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring real-time stay point data, historical position state data and fence area data of at least one electronic fence of a vehicle, wherein the electronic fence is calculated based on the historical stay point data of the vehicle;
the determining module is used for determining the position state of the vehicle according to the comparison result of the real-time stay point data and the fence area data;
and the sending module is used for determining the running state monitoring result of the vehicle according to the historical position state data and the running state judging strategy if the position state is abnormal, and sending the running state monitoring result to a monitoring terminal corresponding to the vehicle.
9. A storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the method of monitoring a vehicle operating condition according to any one of claims 1-7.
10. A computer device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to the method for monitoring a vehicle running state according to any one of claims 1 to 7.
CN202310354557.4A 2023-04-03 2023-04-03 Method and device for monitoring running state of vehicle, storage medium and computer equipment Pending CN116347344A (en)

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Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310354557.4A CN116347344A (en) 2023-04-03 2023-04-03 Method and device for monitoring running state of vehicle, storage medium and computer equipment

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Publication Number Publication Date
CN116347344A true CN116347344A (en) 2023-06-27

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