CN116152955B

CN116152955B - Vehicle state detection method, device, computer equipment and storage medium

Info

Publication number: CN116152955B
Application number: CN202310417952.2A
Authority: CN
Inventors: 刘璇恒; 刘永威; 刘思喆
Original assignee: Beijing Apoco Blue Technology Co ltd
Current assignee: Beijing Apoco Blue Technology Co ltd
Priority date: 2023-04-19
Filing date: 2023-04-19
Publication date: 2023-07-04
Anticipated expiration: 2043-04-19
Also published as: CN116152955A

Abstract

The application relates to a vehicle state detection method, a vehicle state detection device, a computer device and a storage medium. The method comprises the following steps: in the current state detection period, when an order request of a target vehicle is received, using the vehicle in the target space range as a comparison vehicle according to the position information of the target vehicle, and generating a use record of the target vehicle for the order request according to the vehicle information of the comparison vehicle; under the condition that the current state detection period is ended, acquiring each use record generated by the target vehicle in the current state detection period; for any use record, determining an adjustment score of the target vehicle for each use record based on the current state scores of the target comparison vehicle and the target vehicle, and updating the current state score of the target vehicle to obtain the state score of the target vehicle and the vehicle state of the target vehicle. By adopting the method, the efficiency of detecting the vehicle state can be improved, and the detection precision of the vehicle state can be improved.

Description

Vehicle state detection method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of vehicle detection technology, and in particular, to a vehicle state detection method, apparatus, computer device, storage medium, and computer program product.

Background

With the development of resource management technology, a certain number of shared vehicles are introduced in most cities, and because the shared vehicles are used in a large amount and distributed more dispersedly after the use is finished, the shared vehicles are required to be recovered and managed by each large shared vehicle manager.

Currently, each large shared vehicle manager can obtain the position information of the shared vehicle based on the GPS positioner configured on the shared vehicle, so as to check the state of the shared vehicle according to the position information of the shared vehicle, and perform resource management such as recovery, redeployment and the like according to the vehicle state of the shared vehicle.

However, at present, the resource management of the shared vehicles often adopts staff to perform manual inspection and management of the shared vehicles according to the positioning condition of the shared vehicles, but because the number of the shared vehicles put in is large, the shared vehicles are often scattered after being used, so that the manner of performing one-by-one inspection of the shared vehicles by a technician not only results in waste of human resources, but also can cause inaccurate inspection results due to subjective judgment when one-by-one inspection is performed by a single staff.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a vehicle state detection method, apparatus, computer device, computer-readable storage medium, and computer program product that are capable of improving the vehicle state detection efficiency.

In a first aspect, the present application provides a vehicle state detection method. The method comprises the following steps:

in a current state detection period, when an order request of a target vehicle is received, determining a target space range according to the position information of the target vehicle at the current moment, taking the vehicle in the target space range as a comparison vehicle, and generating a use record of the target vehicle for the order request according to the vehicle information of the comparison vehicle;

acquiring each usage record generated by the target vehicle in the current state detection period under the condition that the current state detection period is ended;

determining a target comparison vehicle from any use record, and determining an adjustment score of the target vehicle for the use record based on the current state score of each target comparison vehicle and the current state score of the target vehicle, wherein the target comparison vehicle is the comparison vehicle which does not generate an order request in the current state detection period;

updating the current state score of the target vehicle according to the adjustment score of the target vehicle for each use record to obtain the state score of the target vehicle;

And determining the vehicle state of the target vehicle according to the state score of the target vehicle. In one embodiment, the method further comprises:

for any target comparison vehicle, determining an adjustment score of the target comparison vehicle for the use record according to the current state score of the target vehicle corresponding to any use record containing the target comparison vehicle and the current state score of the target comparison vehicle;

updating the current state score of the target comparison vehicle according to the adjustment score of the target comparison vehicle for each use record to obtain the state score of the target comparison vehicle;

and determining the vehicle state of each target comparison vehicle according to the state score of each target comparison vehicle.

In one embodiment, the determining the adjustment score of the target vehicle for the usage record based on the current status score of each target control vehicle and the current status score of the target vehicle includes:

for any target comparison vehicle, determining a target vehicle's target comparison vehicle's target rate expected value according to the target comparison vehicle's current state score and the target vehicle's current state score, and determining the target vehicle's target comparison vehicle's adjustment score according to the target comparison vehicle's target adjustment coefficient corresponding to the target vehicle's target rate expected value and the target rate expected value;

And determining the adjustment scores of the target vehicles for the use records according to the adjustment scores of the target vehicles for the target comparison vehicles.

In one embodiment, before determining the adjustment score of the target vehicle for the target comparison vehicle according to the expected value of the win ratio and the target adjustment coefficient corresponding to the target vehicle, the method further includes:

determining a first adjustment coefficient corresponding to the target vehicle according to the current state score of the target vehicle, wherein the first adjustment coefficient is inversely related to the current state score of the target vehicle;

determining a second adjustment coefficient corresponding to the target comparison vehicle according to the current state score of the target comparison vehicle, wherein the second adjustment coefficient is inversely related to the current state score of the target comparison vehicle;

a target adjustment coefficient is determined based on the first adjustment coefficient and the second adjustment coefficient.

In one embodiment, the determining the adjustment score of the target comparison vehicle for the usage record according to the current status score of the target vehicle corresponding to any usage record of the target comparison vehicle and the current status score of the target comparison vehicle includes:

Determining a target comparison vehicle according to the target vehicle relative to the target comparison vehicle;

and determining an adjustment score of the target comparison vehicle for the use record according to the expected value of the target comparison vehicle relative to the vehicle and the target adjustment coefficient corresponding to the target vehicle.

In one embodiment, the method further comprises:

determining order requests corresponding to the use records;

and deleting the usage record corresponding to the order request under the condition that the order duration corresponding to the order request is smaller than a duration threshold value for any order request.

In one embodiment, the method further comprises:

and under the condition that the vehicle state of any vehicle is detected to be in a to-be-maintained state, if the vehicle is detected to be still in the to-be-maintained state after a preset time period, sending a maintenance notification for the vehicle to a maintenance platform, wherein under the condition that the state score of the vehicle is smaller than or equal to a maintenance threshold value, the vehicle maintenance state of the vehicle is the to-be-maintained state.

In one embodiment, the method further comprises:

counting corresponding state scores of each vehicle under each state detection period;

and under the condition that the cycle number of which the state score of any vehicle continuously keeps unchanged is greater than or equal to a cycle number threshold value, sending early warning information for the vehicle to a management platform.

In one embodiment, the method further comprises:

resetting the state score of any vehicle to an initial state score under the condition that the vehicle meets the score resetting condition;

wherein the score reset condition includes:

receiving a notification indicating completion of the vehicle repair; or alternatively, the process may be performed,

and the duration that the state score of the vehicle is in the upper score limit value reaches a duration threshold value.

In one embodiment, the method further comprises:

for any vehicle, sending vehicle state indication information to the vehicle and/or terminal equipment requesting the vehicle according to the vehicle state of the vehicle;

the vehicle state indication information is used for indicating the vehicle and/or the terminal equipment to display prompt information corresponding to the vehicle state on a display device.

In one embodiment, the updating the current state score of the target vehicle according to the adjustment score of the target vehicle for each usage record to obtain the state score of the target vehicle includes:

Acquiring feedback information of the target vehicle corresponding to each order request in the current state detection period;

determining a corresponding feedback adjustment score according to each piece of feedback information;

and updating the current state score of the target vehicle according to the adjustment score of the target vehicle for each use record and the feedback adjustment score of the target vehicle for each feedback information to obtain the state score of the target vehicle.

In a second aspect, the present application also provides a vehicle state detection apparatus. The device comprises:

the generation module is used for determining a target space range according to the position information of the target vehicle at the current moment when an order request of the target vehicle is received in the current state detection period, taking the vehicle in the target space range as a comparison vehicle, and generating a use record of the target vehicle for the order request according to the vehicle information of the comparison vehicle;

the acquisition module is used for acquiring each use record generated by the target vehicle in the current state detection period under the condition that the current state detection period is over;

A first determining module, configured to determine, for any usage record, a target comparison vehicle from the usage records, and determine an adjustment score for the usage record for each target comparison vehicle based on a current status score of the target comparison vehicle and a current status score of the target vehicle, where the target comparison vehicle is the comparison vehicle that does not generate an order request in the current status detection period;

and the first updating module is used for updating the current state score of the target vehicle according to the adjustment scores of the target vehicle for each use record to obtain the state score of the target vehicle.

In one embodiment, the apparatus further comprises:

the second determining module is used for determining, for any target comparison vehicle, an adjustment score of the target comparison vehicle for the usage record according to a current state score of the target vehicle corresponding to any usage record containing the target comparison vehicle and the current state score of the target comparison vehicle;

the second updating module is used for updating the current state score of the target comparison vehicle according to the adjustment score of the target comparison vehicle for each use record to obtain the state score of the target comparison vehicle;

And the third determining module is used for determining the vehicle state of each target comparison vehicle according to the state score of each target comparison vehicle.

In one embodiment, the second determining module is specifically configured to:

In one embodiment, the apparatus further comprises:

a fourth determining module, configured to determine an order request corresponding to each usage record;

and the deleting module is used for deleting the usage record corresponding to the order request when the order duration corresponding to the order request is smaller than a duration threshold value aiming at any order request.

In one embodiment, the apparatus further comprises:

the vehicle maintenance system comprises a notification module, a maintenance platform and a maintenance module, wherein the notification module is used for sending a maintenance notification for the vehicle to the maintenance platform if the vehicle is detected to be still in the to-be-maintained state after a preset time period when the vehicle state of any vehicle is detected to be in the to-be-maintained state, and the vehicle maintenance state of the vehicle is the to-be-maintained state when the state score of the vehicle is smaller than or equal to a maintenance threshold value.

In one embodiment, the apparatus further comprises:

the statistics module is used for counting the corresponding state scores of each vehicle under each state detection period;

and the early warning module is used for sending early warning information aiming at the vehicle to the management platform under the condition that the cycle number of any vehicle state score continuously keeps unchanged and is greater than or equal to the cycle number threshold value.

In one embodiment, the apparatus further comprises:

a resetting module, configured to reset a state score of any vehicle to an initial state score if the vehicle meets a score resetting condition;

wherein the score reset condition includes:

In one embodiment, the apparatus further comprises:

the indication module is used for sending vehicle state indication information to any vehicle according to the vehicle state of the vehicle and/or terminal equipment requesting the vehicle;

In one embodiment, the first updating module is specifically configured to:

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:

and determining the vehicle state of the target vehicle according to the state score of the target vehicle.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:

The vehicle state detection method, the device, the computer equipment, the storage medium and the computer program product are used for determining a target space range according to the position information of a target vehicle at the current moment when an order request of the target vehicle is received in a current state detection period, taking the vehicle in the target space range as a comparison vehicle, and generating a use record of the target vehicle for the order request according to the vehicle information of the comparison vehicle; acquiring each usage record generated by the target vehicle in the current state detection period under the condition that the current state detection period is ended; determining a target comparison vehicle from any use record, and determining an adjustment score of the target vehicle for the use record based on the current state score of each target comparison vehicle and the current state score of the target vehicle, wherein the target comparison vehicle is the comparison vehicle which does not generate an order request in the current state detection period; updating the current state score of the target vehicle according to the adjustment score of the target vehicle for each use record to obtain the state score of the target vehicle; and determining the vehicle state of the target vehicle according to the state score of the target vehicle. According to the vehicle state detection method provided by the embodiment of the disclosure, the state score of the target vehicle can be determined, and the vehicle state of the target vehicle can be determined based on the state score, and because the order request of the target vehicle and the vehicles around the target vehicle which do not generate the order request are combined in the process of determining the state score of the target vehicle, the used condition of the target vehicle can be fully considered by referring to the vehicles, and the state score more in line with the actual condition of the vehicle can be obtained, so that the vehicle state can be automatically detected, the vehicle state detection efficiency can be improved, the vehicle state detection precision can be improved, and the effect of being convenient for a vehicle manager to maintain and manage the vehicle can be achieved.

Drawings

FIG. 1 is an application environment diagram of a vehicle state detection method in one embodiment;

FIG. 2 is a flow chart of a method of detecting vehicle status in one embodiment;

FIG. 3 is a flow chart of a method for obtaining a state score of a target control vehicle according to one embodiment;

FIG. 4 is a flow diagram of determining an adjustment score for a target vehicle for a usage record in one embodiment;

FIG. 5 is a flow chart of determining a target adjustment factor in one embodiment;

FIG. 6 is a flow chart of determining an adjustment score for a target control vehicle for use records in one embodiment;

FIG. 7 is a flowchart of deleting a usage record corresponding to an order request in the case where the order duration corresponding to the order request is less than the duration threshold in another embodiment;

FIG. 8 is a flowchart illustrating a process for determining a corresponding feedback adjustment score according to feedback information according to another embodiment;

FIG. 9 is a block diagram showing the construction of a vehicle state detecting device in one embodiment;

fig. 10 is an internal structural view of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The vehicle state detection method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 may not be limited to various smartphones, tablet computers, portable wearable devices, and vehicle terminals, among others. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In one embodiment, as shown in fig. 2, a vehicle state detection method is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:

step 202, in the current state detection period, when an order request of a target vehicle is received, determining a target space range according to the position information of the target vehicle at the current moment, taking the vehicle in the target space range as a comparison vehicle, and generating a use record of the target vehicle for the order request according to the vehicle information of the comparison vehicle.

The state detection period is a period of a preset time period, for example, the state detection period may be 24 hours, that is, one detection period corresponds to every 24 hours, where the preset time period is not specifically limited in the embodiment of the present disclosure; the target vehicle is a vehicle in which an order request exists in the current state detection period, wherein the vehicle information includes information such as a vehicle identification (e.g., a vehicle number, etc.) and vehicle position information.

In this embodiment of the present application, when a user needs to use a target vehicle, order information for the target vehicle is first sent to a server, and in a current state detection period, when the server receives an order request for the target vehicle, the server may acquire location information of the target vehicle at a current time, and, by way of example, may acquire real-time location information of the target vehicle at the current time through a GPS (Global Positioning System ) service or the like, a manner of acquiring the location information of the target vehicle is not specifically limited in this embodiment of the present disclosure. The server may determine, with the position information of the target vehicle at the current time as a center, a target space range corresponding to the target vehicle according to a preset space range division policy, for example: the target space range can be a circular area with the radius of a preset radius by taking the position information of the target vehicle at the current moment as the center of a circle; or the target space range may be a square area with a length of a preset length and the like with the position information of the target vehicle at the current moment as the center, and the mode of determining the target space range and the shape of the target space range are not specifically limited in the embodiment of the present disclosure. After the target space range is determined, the server takes other vehicles except the target vehicle in the target space range as comparison vehicles, and generates a use record of the target vehicle for the order request according to the vehicle information of each comparison vehicle.

The server may acquire the position information of the vehicle at the current moment based on a positioning device or a sensor and other devices preset on the vehicle, and any device or algorithm capable of acquiring the position information of the vehicle may be applied in the present application, which is not limited in the embodiments of the present application.

Illustratively, in the current state detection period, when the server receives an order request for the target vehicle A1, the target spatial range of the target vehicle A1 is determined according to the position information of the target vehicle A1 and the preset radius range. The server acquires that the target vehicle A1, the collation vehicle B2 and the collation vehicle B3 exist in the target space range within the target space range. The server then generates a usage record for the order request for the target vehicle A1 from the vehicle information of the collation vehicles B1, B2 and B3, which may include, for example, a collection of collation vehicles.

Step 204, when the current state detection period is over, each usage record generated by the target vehicle in the current state detection period is acquired.

In the embodiment of the application, the server acquires each usage record corresponding to each order request generated by the target vehicle in the current state detection period under the condition that the current state detection period is ended. For example, if the server receives a total of 3 order requests for the target vehicle A1 within the current state detection period, that is, the target vehicle A1 has 3 usage records for the 3 order requests, the 3 usage records may be acquired in the case that the current state detection period ends.

Step 206, for any usage record, determining a target comparison vehicle from the usage records, and determining an adjustment score for the target vehicle for the usage record based on the current status score of each target comparison vehicle and the current status score of the target vehicle.

The target comparison vehicle is a comparison vehicle which does not generate an order request in the current state detection period; the current state score of each vehicle is a state score of the vehicle obtained after the end of the previous state detection period, and when the current state detection period is the first state detection period, the current state score of each vehicle is an initial state score, for example, the initial state score may be 1200 points.

In this embodiment of the present application, the server detects, for any usage record, whether an order request exists in a current status detection period for each comparison vehicle in each usage record. The server takes the comparison vehicle as a target comparison vehicle under the condition that the comparison vehicle does not have an order request in the current state detection period; in the case where there is an order request in the reference vehicle in the current state detection period, the reference vehicle is deleted from each usage record of the current state detection period, that is, the reference vehicle should be regarded as the target vehicle, and the server acquires, for example, at 7 in the current state detection period, that there is the target vehicle A1, the reference vehicle B2, and the reference vehicle B3 in the target space range. Then, the server generates a usage record of the target vehicle A1 for the order request based on the vehicle information of the collation vehicle B1, the collation vehicle B2, and the collation vehicle B3. When the current state detection period is finished, the server acquires the use record of the target vehicle A1, and searches to obtain that an order request exists in the comparison vehicle B3 in the target space range when the current state detection period is 8, the server deletes the comparison vehicle B3 from each use record of the current state detection period, namely the comparison vehicle B3 is treated as the target vehicle due to the existence of the order request and is not treated as the target comparison vehicle.

The server calculates an adjustment score of the target vehicle for the use record according to the current state score of each target comparison vehicle and the current state score of the target vehicle. For example, the status score is used to characterize the vehicle status of the vehicle, with a positive correlation between the two, i.e., the higher the status score, the better the vehicle status of the vehicle. Since the target vehicle is a vehicle used by the user in the current vehicle state detection period, and the target comparison vehicle is a vehicle not used by the user in the current vehicle state detection period, the vehicle state is referred to in consideration of the fact that the user selects the vehicle for use among the plurality of vehicles, so that when the target vehicle is used, it can be shown that the vehicle state of the target vehicle is theoretically better than the target comparison vehicle, the current state score of the target vehicle can be subjected to the up-regulation processing, and the specific regulation score can be determined based on the current state score of each target comparison vehicle and the current state score of the target vehicle.

For example: when the difference between the current state score of each target comparison vehicle and the current state score of each target comparison vehicle is small, the probability that the user selects the target vehicle randomly is high, so that a relatively small adjustment score can be determined, or when the current state score of each target comparison vehicle is lower than the current state score of the target vehicle and the difference is large, the difference between the current state score of each target comparison vehicle and the current state score of each target comparison vehicle is large, the probability that the user selects the target vehicle based on the vehicle state is high, so that a relatively large adjustment score can be determined.

And step 208, updating the current state score of the target vehicle according to the adjustment scores of the target vehicle for each use record to obtain the state score of the target vehicle.

In this embodiment of the present application, by way of example, the server may perform up-adjustment processing on the current state score of the target vehicle according to the multiple adjustment scores recorded by the target vehicle for each use, for example: adding the current state score of the target vehicle and the plurality of adjustment scores to obtain the state score of the target vehicle; alternatively, the adjustment scores may be weighted and summed with the current state score of the target vehicle to obtain the state score of the target vehicle according to the time information corresponding to each usage record or the position information of the target vehicle when the usage record is generated, for example: when the time of generating the usage record is in the preset peak period time, a relatively smaller weight can be set for the usage record, otherwise, when the time of generating the usage record is in the off-peak period time, a relatively larger weight can be set for the usage record; alternatively, when the position information of the target vehicle at the time of generating the usage record is at the peak position of the vehicle, a relatively small weight may be set for the usage record, whereas when the position information of the target vehicle at the time of generating the usage record is at the off-peak position, a relatively large weight may be set for the usage record. In the embodiment of the disclosure, the method for updating the current state score of the target vehicle is not specifically limited by the adjustment score of each usage record.

Step 210, determining a vehicle state of the target vehicle according to the state score of the target vehicle.

In the embodiment of the application, the state score is used for representing the vehicle state of the vehicle, namely, the higher the state score is, the better the vehicle state is, and otherwise, the lower the state score is, the worse the vehicle state is. For example, assuming that the vehicle states include a plurality of states, and different vehicle states may preset corresponding state score ranges, a state score range in which the state score of the target vehicle is located may be determined, and a vehicle state corresponding to the state score range may be determined as the vehicle state of the target vehicle.

For example, assuming that the vehicle state includes a differential state, a general state, and a good state, wherein a state score range of the differential state includes 0 to a first score threshold, a state score range of the general state is between the first score threshold and a second score threshold, and a state score range of the good state is a range of the second score threshold and above, the vehicle state of the target vehicle is determined to be the differential state when the state score of the target vehicle is lower than the first score threshold (for example, the first score threshold is 500 minutes), and the vehicle state of the target vehicle is determined to be the general state when the state score of the target vehicle is between the first score threshold and the second score threshold (for example, the second score threshold is 1000 minutes); and when the state score of the target vehicle is greater than or equal to the second score threshold value, determining that the vehicle state of the target vehicle is a good state.

It should be noted that the above vehicle state is only an example of the vehicle state in the embodiments of the present disclosure, and is not to be construed as limiting the vehicle state, and in fact, the vehicle state may be divided into a coarser granularity or a finer granularity by those skilled in the art as required, and the manner of dividing the vehicle state is not specifically limited in the embodiments of the present disclosure.

In the vehicle state detection method, when an order request of a target vehicle is received in a current state detection period, a target space range is determined according to the position information of the target vehicle at the current moment, the vehicle in the target space range is used as a comparison vehicle, and a use record of the target vehicle for the order request is generated according to the vehicle information of the comparison vehicle; under the condition that the current state detection period is ended, acquiring each use record generated by the target vehicle in the current state detection period; for any use record, determining a target comparison vehicle from the use records, and determining an adjustment score of the target vehicle for the use record based on the current state score of each target comparison vehicle and the current state score of the target vehicle, wherein the target comparison vehicle is a comparison vehicle which does not generate an order request in the current state detection period; updating the current state score of the target vehicle according to the adjustment score of the target vehicle for each use record to obtain the state score of the target vehicle; and determining the vehicle state of the target vehicle according to the state score of the target vehicle. According to the vehicle state detection method provided by the embodiment of the disclosure, the state score of the target vehicle can be determined, and then the vehicle state of the target vehicle can be determined based on the state score, because in the process of determining the state score of the target vehicle, the order request of the target vehicle and the vehicles around the target vehicle without the order request are combined, the used condition of the target vehicle can be fully considered by referring to each other among the vehicles, and then the vehicle state of the target vehicle can be determined based on each target vehicle order request, the effect of detecting the vehicle state according to the use condition of a user is achieved, and the state score which is more suitable for the real condition of the vehicle can be obtained by calculating the adjustment score of the target contrast vehicle and the target vehicle in the target space range, so that the detection of the vehicle state can be automatically performed, the efficiency of the vehicle detection can be improved, the detection accuracy precision of the condition state of the automatic detection vehicle can be improved, and the effect of being convenient for a vehicle manager to maintain and manage the vehicle can be achieved.

In one embodiment, as shown in FIG. 3, step 206 includes:

step 302, for any target comparison vehicle, determining an adjustment score of the target comparison vehicle for the usage record according to the current status score of the target vehicle corresponding to any usage record containing the target comparison vehicle and the current status score of the target comparison vehicle.

In this embodiment of the present application, the target comparison vehicle is a vehicle that does not generate order information in the current vehicle state detection period, and in this current vehicle state detection period, one target comparison vehicle may be used as a comparison vehicle of one or more target vehicles, that is, may exist in usage records generated by a plurality of target vehicles and be used as a target comparison vehicle of a plurality of target vehicles. For any target vehicle, the calculation of the target control vehicle's adjustment score for the usage record may be performed, for example, when calculating the adjustment score for the usage record for the target vehicle; alternatively, each usage record including the target collation vehicle may be acquired based on the vehicle information of the target collation vehicle, and the adjustment score of the target collation vehicle for each usage record may be determined.

For example, the server may retrieve a usage record containing the target collation vehicle for any target collation vehicle based on the number of the target collation vehicle. The server obtains the current state score of the target vehicle corresponding to each use record according to the use record related to each target comparison vehicle, obtains the current state score of the target comparison vehicle, and calculates the adjustment score of the target comparison vehicle for the corresponding use record according to the current state score of the target vehicle corresponding to each use record and the current state score of the target comparison vehicle. As previously described, the higher the state score, the better the vehicle state of the vehicle is indicated. Since the target vehicle is a vehicle used by the user in the current vehicle state detection period, and the target comparison vehicle is a vehicle not used by the user in the current vehicle state detection period, the vehicle state is referred to in consideration of the fact that the user selects the vehicle for use among the plurality of vehicles, so that when the target comparison vehicle is not used, it can be shown that the vehicle state of the target vehicle is theoretically worse than the target vehicle, the current state score of the target vehicle can be subjected to the down-regulation processing, and the specific regulation score can be determined based on the current state score of the target comparison vehicle and the current state score of the target vehicle.

For example: when the difference between the current state score of the target comparison vehicle and the current state score of the target vehicle is small, the probability that the target vehicle is selected randomly by the user can be considered to be large, so that a relatively small adjustment score can be determined, or when the current state score of the target comparison vehicle is lower than the current state score of the target vehicle and the difference is large, the difference between the current state score of the target comparison vehicle and the current state score of the target comparison vehicle is large, the probability that the target vehicle is selected by the user based on the vehicle state can be considered to be large, and therefore, the relatively large adjustment score can be determined.

And step 304, updating the current state score of the target comparison vehicle according to the adjustment scores of the target comparison vehicle for each use record to obtain the state score of the target comparison vehicle.

In this embodiment of the present invention, since the target comparison vehicle is a vehicle that is not used in the current state detection period, when the target vehicle performs the up-adjustment processing on the current state score based on the corresponding adjustment scores, the adjustment scores of the target comparison vehicle for the usage records should be all negative, that is, the down-adjustment processing needs to be performed on the current state score of the target comparison vehicle.

The server performs a down-regulation process on the current state score of the target collation vehicle based on the adjustment score of the target collation vehicle for each usage record, for example: adding the current state score of the target comparison vehicle and the plurality of adjustment scores to obtain a state score of the target comparison vehicle; alternatively, the adjustment scores may be weighted and summed with the current state score of the target comparison vehicle according to the time information corresponding to each usage record or the position information of the target comparison vehicle when the usage record is generated, to obtain the state score of the target comparison vehicle, for example: when the time of generating the usage record is in the preset peak period time, a relatively smaller weight can be set for the usage record, otherwise, when the time of generating the usage record is in the off-peak period time, a relatively larger weight can be set for the usage record; alternatively, when the position information of the target vehicle is at the off-peak position in the use record generation, a relatively small weight may be set for the use record, whereas when the position information of the target control vehicle is at the off-peak position in the use record generation, a relatively large weight may be set for the use record.

It can be understood that, since each adjustment score of the target comparison vehicle is negative, in the embodiment of the present application, the exemplary implementation of adding the current state score and each adjustment score of the target comparison vehicle and weighting and summing the current state score and each adjustment score of the target comparison vehicle is actually performing the down-regulation process on the current state score of the target comparison vehicle. In the embodiment of the disclosure, a method for updating the current state score of the target control vehicle according to the adjustment score of each usage record is not specifically limited.

Step 306, determining the vehicle state of each target comparison vehicle according to the state scores of each target comparison vehicle.

In the embodiment of the application, the server compares the state scores of the target comparison vehicles with score thresholds, and determines the vehicle states of the target comparison vehicles according to comparison results. The process of determining the vehicle state based on the state score may refer to the related description of the foregoing embodiments, which are not described herein.

In this embodiment, the unused vehicles may be further adjusted to adjust the state score during the vehicle state detection period, and in the process of adjusting the state score, the surrounding used vehicles are referred to, so that the state score more suitable for the actual situation of the vehicles can be obtained by referring to each other between the vehicles, thereby realizing automatic detection of the vehicle state, improving the efficiency of vehicle detection, improving the detection precision of the vehicle state, and facilitating the maintenance or management of the vehicles by the manager according to the vehicle state.

In one embodiment, as shown in FIG. 4, step 304 includes:

step 402, for any target comparison vehicle, determining a target vehicle's target comparison vehicle's target rate expected value according to the target comparison vehicle's current state score and the target vehicle's current state score, and determining a target vehicle's target comparison vehicle's adjustment score according to the target rate expected value and a target adjustment coefficient corresponding to the target vehicle.

In this embodiment of the present application, for any target comparison vehicle, the server may calculate, according to the current state score of the target comparison vehicle and the current state score of the target vehicle, a target vehicle's expected value of a winning rate relative to the target comparison vehicle, and the calculation method for calculating the expected value of the winning rate may refer to formula (1), where the specific calculation process is as follows:

wherein b represents a target vehicle, and a represents a target comparison vehicle;

indicating the desired value of the winning rate of the target vehicle b relative to the target control vehicle a +.>

Representing the current state score of the target control vehicle a, < ->

Current state score of target vehicle b, +.>

Representing the level difference of the preset value section, +.>

Is a preset constant, for example: 200. 400, etc., the specific value may be set by those skilled in the art as desired.

And the server calculates an adjustment score of the target vehicle for the target comparison vehicle according to the expected value of the target vehicle relative to the target comparison vehicle and the target adjustment coefficient corresponding to the target vehicle. The target vehicle is in negative correlation with the target comparison vehicle, and the target adjustment coefficient corresponding to the target vehicle is in positive correlation with the target comparison vehicle. For example, the calculation method of the adjustment score of the target vehicle for the target comparison vehicle refers to formula (2), and the specific calculation process is as follows:

wherein a represents a target vehicle;

an adjustment score representing the target vehicle relative to the target control vehicle; />

Representing a target adjustment factor that can be used to control the rate of increase or decrease of the state score; m represents the actual win-lose state of the target vehicle relative to the target control vehicle, < >>

Has a value of 1; />

Indicating the desired value of the target vehicle's win ratio relative to the target reference vehicle.

Step 404, determining the adjustment score of the target vehicle for the usage record according to the adjustment scores of the target vehicle for the target control vehicles.

In the embodiment of the application, the server may determine the adjustment score of the target vehicle for the usage record according to the adjustment scores of the target vehicle for the target comparison vehicles. For example, an average of the adjustment scores may be used as the adjustment score for the usage record for the target vehicle; or, weights may be set for the target comparison vehicles based on the distance between the target comparison vehicle and the target vehicle, and then the adjustment scores are weighted and summed according to the weights of the target comparison vehicles to obtain the adjustment scores of the target vehicle for the usage record, for example: the closer the target collation vehicle is to the target vehicle, the higher the weight may be set, whereas the farther the target collation vehicle is to the target vehicle, the lower the weight may be set.

In this embodiment, the expected value of the target vehicle relative to the target comparison vehicle may be determined according to the current state score of the target comparison vehicle and the current state score of the target vehicle, and then the adjustment score corresponding to the usage record of the target vehicle may be determined according to the expected value of the target vehicle relative to the target comparison vehicle, and the adjustment score of the target vehicle may be obtained based on the adjustment score corresponding to the usage record, so that the usage information of the vehicles around the target vehicle and the state information of the vehicles may be fully referred to, and the detection accuracy of the vehicle state of the target vehicle may be improved.

In one embodiment, as shown in fig. 5, before step 402, the method further includes:

step 502, determining a first adjustment coefficient corresponding to the target vehicle according to the current state score of the target vehicle. Wherein the first adjustment factor is inversely related to the current state score of the target vehicle.

In this embodiment of the present application, the adjustment coefficient is inversely related to the current state score, that is, the higher the current state score is, the smaller the corresponding adjustment coefficient is, so that the adjustment rate of the state score of the vehicle can be controlled by the adjustment coefficient, for example: for vehicles with better states, the vehicle can be controlled by adjusting the coefficient so that the score cannot rise too fast due to the use of a user, and for vehicles with worse states, the score can be controlled by adjusting the coefficient so that the score cannot fall too fast due to the use condition of surrounding vehicles, and therefore the vehicle state which is more in line with the actual situation is obtained.

For example, the server may prestore a mapping relationship between the state score level and the adjustment coefficient. Then, the server determines a state score grade to which the current state score belongs based on the current state score of the target vehicle, and determines a first adjustment coefficient corresponding to the target vehicle based on a mapping relationship between the state score grade and the adjustment coefficient. For example, when the state score falls within the range from 0 to the first score threshold, the adjustment coefficient is 36; when the state score belongs to the range from the first score threshold value to the second score threshold value, the adjustment coefficient is 34; when the state score falls within the range of the second score threshold and above, the adjustment coefficient is 32.

The above adjustment coefficient is only an example of the adjustment coefficient of the state score of the vehicle in the embodiment of the present disclosure, and is not to be understood as a limitation of the adjustment coefficient, and in fact, the adjustment coefficient may be set by a person skilled in the art according to the need, and the setting manner of the adjustment coefficient is not specifically limited in the embodiment of the present disclosure.

And step 504, determining a second adjustment coefficient corresponding to the target comparison vehicle according to the current state score of the target comparison vehicle.

Wherein the second adjustment factor is inversely related to the current state score of the target control vehicle.

In the embodiment of the application, the server determines the state score grade to which the current state score belongs based on the current state score of the target comparison vehicle, and determines the second adjustment coefficient corresponding to the target comparison vehicle based on the mapping relationship between the state score grade and the adjustment coefficient. The determining process of the second adjustment coefficient may be referred to the related description of the foregoing embodiment, which is not repeated in the embodiments of the present disclosure.

Step 506, determining a target adjustment coefficient based on the first adjustment coefficient and the second adjustment coefficient.

In this embodiment of the present application, the server performs the intermediate value fetching operation on the first adjustment coefficient and the second adjustment coefficient. The server calculates an average value of the first adjustment coefficient and the second adjustment coefficient, and takes the average value as a target adjustment coefficient of the target vehicle; the server may further perform an average calculation of a plurality of adjustment coefficients according to the first adjustment coefficient and the second adjustment coefficient corresponding to the state scores of the target vehicle and the target comparison vehicle in the previous state detection periods, and the first adjustment coefficient and the second adjustment coefficient of the target vehicle and the target comparison vehicle in the current state detection period, and use the average value as a target adjustment coefficient of the target vehicle.

The method for determining the target adjustment coefficient according to the first adjustment coefficient and the second adjustment coefficient is not specifically limited in the embodiments of the present disclosure.

In this embodiment, the target adjustment coefficients associated with the target vehicle and the target collation vehicle state scores are determined by the first adjustment coefficients and the second adjustment coefficients associated with the target vehicle and the target collation vehicle. Because the cross reference between the vehicle adjustment coefficients is performed in the process of acquiring the target adjustment coefficients, the adjustment coefficients of the target vehicle and the target comparison vehicle can be fully considered, so that the adjustment coefficients between the target vehicle and the target comparison vehicle are obtained, the effect of controlling the adjustment score of the target vehicle and the adjustment score of the target comparison vehicle can be achieved, the current state scores of the target vehicle and the target comparison vehicle can be updated more uniformly, and the detection accuracy of the vehicle state can be improved.

In one embodiment, as shown in FIG. 6, step 302 includes:

step 602, determining the expected value of the target comparison vehicle relative to the target vehicle according to the expected value of the target vehicle relative to the target comparison vehicle.

In this embodiment of the present application, according to a target vehicle to target comparison vehicle target value, the server calculates the target comparison vehicle to target vehicle target value, and the target comparison vehicle to target vehicle target value calculation method may refer to formula (3), and the specific calculation process is as follows:

Wherein, the liquid crystal display device comprises a liquid crystal display device,

for the desired value of the winning rate of vehicle a relative to vehicle b, < > for>

Is the expected value of the winning rate of vehicle b relative to vehicle a.

Step 604, determining an adjustment score of the target comparison vehicle for the usage record according to the expected value of the target comparison vehicle relative to the vehicle and the target adjustment coefficient corresponding to the target vehicle.

In the embodiment of the application, the server calculates the adjustment score of the target comparison vehicle for the use record according to the expected value of the target comparison vehicle relative to the vehicle and the target adjustment coefficient corresponding to the target comparison vehicle. The adjustment score of the target comparison vehicle for the target vehicle is inversely related to the expected value of the target comparison vehicle relative to the target vehicle, and is inversely related to the target adjustment coefficient corresponding to the target comparison vehicle. The calculation method of the target comparison vehicle for the adjustment score recorded by use can refer to the formula (4), and the specific calculation process is as follows:

wherein b represents the target collation vehicle,

representing an adjustment score for the target control vehicle relative to the target vehicle;

representing a target adjustment factor that can be used to control the rate of increase or decrease of the state score; m represents the actual win or lose state of the target control vehicle relative to the target vehicle, < > >

The value of (2) is 0; />

The target comparison vehicle is represented by a desired value of the winning rate relative to the target vehicle.

Preferably, the server obtains an order request of each vehicle, so as to obtain a duration of no order request of the vehicle, and when the duration is greater than a threshold value of a preset number of state detection periods and a next state detection period is finished, the preset score is deducted from a current state score of the target comparison vehicle. Illustratively, the preset number of state detection period thresholds may be 7 state detection periods; the score was preset to be 50 points. The server obtains the order requests of the vehicles to obtain the time length of no order requests of the vehicles, for example, the time length of no order requests of a certain vehicle is 7 state detection periods, and if the vehicle still has no order requests at the end of the 8 th state detection period, the current state score of the vehicle is deducted by 50 points until the vehicle has the order requests.

In this embodiment, the expected value of the target rate of the target comparison vehicle relative to the target vehicle may be determined according to the expected value of the target rate of the target comparison vehicle relative to the target vehicle, and then the adjustment score of the target comparison vehicle for the usage record may be determined according to the expected value of the target rate of the target comparison vehicle relative to the target vehicle, and the adjustment score of the target comparison vehicle may be obtained based on the adjustment scores corresponding to the usage records, so that the usage information of the target vehicles around the target comparison vehicle and the state information of the vehicle may be fully referred to, and the detection accuracy of the vehicle state of the target comparison vehicle may be improved.

In one embodiment, as shown in fig. 7, the method further includes:

step 702, determining an order request corresponding to each usage record.

In the embodiment of the application, the server queries each order request corresponding to each usage record based on each usage record of the target vehicle.

Step 704, deleting the usage record corresponding to the order request when the order duration corresponding to the order request is less than the duration threshold for any order request.

In this embodiment, for any order request, the server obtains an order duration corresponding to the order request, and compares the order duration with a preset duration threshold, and deletes a usage record corresponding to the order request when the order duration is less than the preset duration threshold, where the duration threshold may be a preset duration, for example, 15 seconds; when the order duration corresponding to the order request is smaller than the duration threshold, the service time of the characterization target vehicle is shorter, and the target vehicle can be considered to be not used in fact, the service record corresponding to the order request can be deleted, namely, the service record corresponding to the order information is not considered when the adjustment score of the target vehicle is carried out later, so that the accuracy of vehicle state detection is improved. And under the condition that the order time length is greater than or equal to a preset time length threshold value, storing a use record corresponding to the order request for subsequent calculation of the adjustment score of the target vehicle.

In this embodiment, the server deletes the order smaller than the time threshold, filters the invalid order, and can refer to the actual use condition of the vehicle in the process of detecting the vehicle state of the target vehicle, so as to obtain the state score of the vehicle closer to the actual vehicle state of the target vehicle, and improve the detection accuracy of the vehicle state.

In one embodiment, the method further comprises:

and under the condition that the vehicle state of any vehicle is detected to be in a to-be-maintained state, if the vehicle is detected to be still in the to-be-maintained state after the preset time length, sending a maintenance notification for the vehicle to a maintenance platform.

Wherein, under the condition that the state score of the vehicle is smaller than or equal to the maintenance threshold value, the vehicle maintenance state of the vehicle is a state to be maintained; the state to be repaired is that the current state score of the vehicle is lower than the preset lower limit state score, for example, the repair score threshold may be 500 points.

In the embodiment of the application, the server identifies any vehicle as a to-be-maintained state under the condition that the current state score of the vehicle is detected to be lower than the maintenance threshold value. If the server detects that the vehicle is still in a state to be maintained after a preset time period (for example, a preset number of state detection periods) when the vehicle state is in the state to be maintained, the server sends a maintenance notification for the vehicle to a maintenance platform, wherein the maintenance notification can include the vehicle number and the position information of the vehicle.

In this embodiment, through the comparison between the current state score and the preset lower limit state score of the vehicle, the server can determine whether the vehicle is in a to-be-maintained state, and after a preset number of state detection periods, if the vehicle is still detected to be in the to-be-maintained state, the server can determine that the vehicle is in a maintenance state currently, and then send a maintenance notification for the vehicle to a maintenance platform, so that a manager maintains the vehicle, the detection precision for the vehicle maintenance state can be improved, and the maintenance precision of the vehicle is improved.

In one embodiment, the method further comprises:

counting corresponding state scores of each vehicle under each state detection period; and under the condition that the cycle number of which the state score of any vehicle continuously keeps unchanged is greater than or equal to the cycle number threshold value, sending early warning information for the vehicle to the management platform.

The number of the state detection cycles of the vehicle, in which the state score of the vehicle continuously remains unchanged, is greater than or equal to a preset cycle number threshold, and the state detection cycle number can be used for indicating that the vehicle is possibly occupied or that the vehicle is in a remote area and is not used for a long time.

In the embodiment of the application, the server acquires the corresponding state scores of each vehicle in each state detection period, and counts the changes of the corresponding state scores of each vehicle in each state detection period to obtain the change condition of the state scores of each vehicle and the state detection period number of which the state scores are continuously kept unchanged. The server can send early warning information containing vehicle numbers and position information for any vehicle to the management platform under the condition that the state score of the vehicle continuously keeps unchanged and the state detection cycle number is greater than or equal to a preset cycle number threshold value, so as to inform a manager to check the state of the vehicle based on the position information of the vehicle, and therefore the utilization rate of the vehicle is improved or the lost vehicle is timely found.

In this embodiment, when the number of state detection cycles of the vehicle whose state score continuously remains unchanged is greater than or equal to the preset cycle threshold, the server sends the early warning information for the vehicle to the management platform, so that whether the vehicle is occupied or not can be detected according to the number of state detection cycles of the vehicle whose state score continuously remains unchanged, and the early warning information can be sent to the management platform when the vehicle is detected to be occupied, so that management staff can conveniently recover and manage the vehicle based on the position information of the vehicle.

In one embodiment, the method further comprises:

resetting the state score of the vehicle to an initial state score under the condition that any vehicle meets the score resetting condition;

wherein the score reset condition includes receiving a notification indicating that the maintenance of the vehicle is completed or a time period in which the state score of the vehicle is at the score upper limit value reaches a time period threshold.

In the embodiment of the application, when receiving the notification sent by the management platform and used for indicating that the maintenance of the vehicle is completed, the server resets the state score of the vehicle to the initial state score. The server may further obtain a vehicle whose state score is at the upper value of the score, and obtain a duration of the vehicle whose state score is at the upper value of the score, where the server resets the state score of the vehicle to the initial state score if the duration reaches a duration threshold.

Wherein, after the vehicle state score reaches the upper limit value, the vehicle state score can not be up-regulated any more. After the vehicle state score reaches the upper limit value, the probability of using the vehicle by a user is higher than that of other vehicles based on the vehicle state corresponding to the upper limit value, namely the use frequency of the vehicle is higher, so that the state score is not up-regulated but is not down-regulated, but the vehicle is actually in a use state for a long time and can be failed or worn, the state score cannot represent the actual vehicle state of the vehicle, and the server misjudges the vehicle state. But the user may be misled by the vehicle state resulting in a vicious circle. Therefore, in the embodiment of the disclosure, after the state score of the vehicle reaches the upper limit value, when the duration of the upper limit value of the score reaches the duration threshold value, the state score of the vehicle is reset to the initial state score, and the determination of the state of the vehicle is carried out again.

In this embodiment, the server may reset the state score of the vehicle to the initial state score under the condition that the score reset condition is satisfied, so as to obtain the state score more in line with the actual vehicle state, and improve the detection accuracy of the vehicle state.

In one embodiment, the method further comprises:

for any vehicle, transmitting vehicle state indication information to the vehicle and/or a terminal device requesting the vehicle according to the vehicle state of the vehicle;

the vehicle state indication information is used for indicating the vehicle and/or the terminal equipment to display prompt information corresponding to the vehicle state on the display equipment.

According to the embodiment of the application, for any vehicle, a server sends vehicle state indication information to the vehicle and/or terminal equipment requesting the vehicle according to the vehicle state of the vehicle; for example, when the vehicle state of the vehicle is in a bad state, a prompt message corresponding to the vehicle state, for example, "the vehicle state is bad", may be sent to the terminal or the vehicle, or when the vehicle state of the vehicle is in a good state, a prompt message corresponding to the vehicle state, for example, "the vehicle state is good", may be sent to the terminal or the vehicle, and after the terminal or the vehicle receives the prompt message, the prompt message may be displayed on a display interface or a display device, so that the user can select the vehicle with the good vehicle state based on the prompt message corresponding to the vehicle state through the terminal.

In this embodiment, the server sends the vehicle state indication information to the vehicle and/or the terminal device requesting the vehicle according to the vehicle state of the vehicle, so that the user can more easily obtain the specific state of the vehicle, so as to select the vehicle with better vehicle state, the efficiency of selecting the vehicle by the user is improved, the user experience is improved, and the utilization rate of the vehicle is improved.

In one embodiment, as shown in FIG. 8, step 208 includes:

step 802, obtaining feedback information of the target vehicle corresponding to each order request in the current state detection period.

The scoring information may be preset scoring content information, such as a good score, a medium score and a poor score, and the scoring information is used for representing satisfaction of the user using the target vehicle.

In this embodiment of the present application, after finishing an order request, the user terminal may receive grading information of the order request input by the user, and use the grading information of the order request input by the user as feedback information of the order request. Then, the server obtains the corresponding order requests of the target vehicle in the current state detection period, and obtains a plurality of feedback information according to the order requests.

Step 804, determining a corresponding feedback adjustment score according to each feedback information.

In the embodiment of the application, the server determines the feedback adjustment score corresponding to each piece of feedback information according to a plurality of pieces of feedback information corresponding to the target vehicle and a mapping table of the feedback information and the feedback adjustment score stored in advance.

For example, a score of 5 corresponds to a score of 0 corresponds to a score of-5 corresponds to a score of difference.

Step 806, updating the current state score of the target vehicle according to the adjustment score of the target vehicle for each use record and the feedback adjustment score of the target vehicle for each feedback information to obtain the state score of the target vehicle.

In the embodiment of the application, the server counts the adjustment scores of the target vehicle for each use record and the feedback adjustment scores of the target vehicle for each feedback information. In one implementation manner, when a current state detection period is finished, the server performs accumulation processing on the current state score of each target vehicle, the adjustment score of each target vehicle for each use record, and the feedback adjustment score of each feedback information for each target vehicle according to the use record of each target vehicle, so as to obtain the updated state score of the target vehicle corresponding to the use record. And similarly, the server sequentially calculates the state scores of the updated target vehicles corresponding to each use record until the adjustment scores and the feedback adjustment scores corresponding to all the use records are updated, and the final state scores of the target vehicles are obtained. In another implementation manner, the server may further obtain an adjustment score corresponding to all order requests of the target vehicle and a feedback adjustment score corresponding to all feedback information of the target vehicle when the current state detection period ends at one time, and accumulate the current state score of the target vehicle, the adjustment score corresponding to all order requests of the target vehicle and the feedback adjustment score corresponding to all feedback information of the target vehicle to obtain the state score of the target vehicle.

In this embodiment, the server may update the current state score of the target vehicle according to the adjustment score of the target vehicle for each usage record and the feedback adjustment score generated by the score of the target vehicle by the user, to obtain the state score of the target vehicle, and may obtain the state score closer to the actual state of the target vehicle by considering the actual experience satisfaction degree of the user on the target vehicle.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a vehicle state detection device for realizing the vehicle state detection method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the vehicle state detection device or devices provided below may be referred to the limitation of the vehicle state detection method hereinabove, and will not be repeated here.

In one embodiment, as shown in fig. 9, there is provided a vehicle state detection apparatus 900 including: a generation module 902, an acquisition module 904, a first determination module 906, and a first update module 908, wherein:

the generating module 902 is configured to determine, in a current state detection period, a target space range according to position information of a target vehicle at a current time when an order request of the target vehicle is received, and generate, according to vehicle information of a comparison vehicle, a usage record of the target vehicle for the order request by using the vehicle located in the target space range as the comparison vehicle.

An obtaining module 904, configured to obtain each usage record generated by the target vehicle in the current state detection period when the current state detection period ends.

A first determining module 906, configured to determine, for any usage record, a target comparison vehicle from the usage records, and determine an adjustment score of the target vehicle for the usage record based on a current status score of each of the target comparison vehicles and the current status score of the target vehicle, where the target comparison vehicle is the comparison vehicle that does not generate an order request in the current status detection period.

A first updating module 908, configured to update the current status score of the target vehicle according to the adjustment score of the target vehicle for each usage record, so as to obtain the status score of the target vehicle.

By adopting the vehicle state detection device provided by the embodiment of the disclosure, the state score of the target vehicle can be determined, and then the vehicle state of the target vehicle can be determined based on the state score, and because the order request of the target vehicle and the vehicles around the target vehicle which do not generate the order request are combined in the process of determining the state score of the target vehicle, the used condition of the target vehicle can be fully considered by referring to the vehicles, and then the state score more in line with the actual condition of the vehicle can be obtained, so that the vehicle state can be automatically detected, the vehicle state detection efficiency can be improved, the vehicle state detection precision can be improved, and the effect of being convenient for a vehicle manager to maintain and manage the vehicle can be achieved.

In one embodiment, the apparatus further comprises:

In one embodiment, the second determining module is specifically configured to:

In one embodiment, the apparatus further comprises:

wherein the score reset condition includes:

In one embodiment, the apparatus further comprises:

In one embodiment, the first updating module 908 is specifically configured to:

The respective modules in the above-described vehicle state detection device may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 10. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store the status score of the vehicle and the order request data of the target vehicle. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a vehicle state detection method.

It will be appreciated by those skilled in the art that the structure shown in fig. 10 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.

In an embodiment a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of the method embodiments described above.

It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (MagnetoresistiveRandom Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can take many forms, such as static Random access memory (Static Random Access Memory, SRAM) or Dynamic Random access memory (Dynamic Random AccessMemory, DRAM), among others. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims

1. A vehicle state detection method, characterized in that the method comprises:

in a current state detection period, when an order request for a target vehicle is received, determining a target space range according to the position information of the target vehicle at the current moment, taking the vehicle in the target space range as a comparison vehicle, and generating a use record of the target vehicle for the order request according to the vehicle information of the comparison vehicle, wherein the order request is generated when the target vehicle is used, and the use record comprises the vehicle information of each comparison vehicle;

Acquiring each usage record generated by the target vehicle for each order request in the current state detection period under the condition that the current state detection period is ended;

2. The method according to claim 1, wherein the method further comprises:

3. The method of claim 2, wherein the determining an adjusted score for the target vehicle for the usage record based on the current status score for each of the target control vehicles and the current status score for the target vehicle comprises:

4. The method of claim 3, wherein prior to determining the target vehicle's adjustment score for the target control vehicle based on the desired value of the win ratio and a target adjustment coefficient for the target vehicle, the method further comprises:

5. The method of claim 4, wherein determining the adjustment score for the usage record for the target control vehicle based on the current status score for the target vehicle corresponding to any usage record comprising the target control vehicle and the current status score for the target control vehicle comprises:

6. The method according to any one of claims 1 to 5, further comprising:

determining order requests corresponding to the use records;

7. The method according to any one of claims 1 to 5, further comprising:

8. The method according to claim 1, wherein the method further comprises:

9. The method according to claim 1, wherein the method further comprises:

wherein the score reset condition includes:

10. The method according to claim 1 or 2, characterized in that the method further comprises:

11. The method according to claim 1, wherein the updating the current state score of the target vehicle according to the adjustment score of the target vehicle for each usage record to obtain the state score of the target vehicle includes:

12. A vehicle condition detection apparatus, characterized by comprising:

the generation module is used for determining a target space range according to the position information of a target vehicle at the current moment when an order request of the target vehicle is received in a current state detection period, taking the vehicle in the target space range as a comparison vehicle, and generating a use record of the target vehicle for the order request according to the vehicle information of the comparison vehicle, wherein the order request is generated when the target vehicle is used, and the use record comprises the vehicle information of each comparison vehicle;

the acquiring module is used for acquiring each use record respectively generated by the target vehicle for each order request in the current state detection period under the condition that the current state detection period is ended;

13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 11 when the computer program is executed.

14. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 11.