CN114677779A - Vehicle configuration state monitoring method and device, storage medium and computer equipment - Google Patents
Vehicle configuration state monitoring method and device, storage medium and computer equipment Download PDFInfo
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- CN114677779A CN114677779A CN202210324922.2A CN202210324922A CN114677779A CN 114677779 A CN114677779 A CN 114677779A CN 202210324922 A CN202210324922 A CN 202210324922A CN 114677779 A CN114677779 A CN 114677779A
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- 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
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- 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
- G07C5/006—Indicating maintenance
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- 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
- G07C5/0808—Diagnosing performance data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The application provides a vehicle configuration state monitoring method, a vehicle configuration state monitoring device, a storage medium and computer equipment, wherein the method comprises the following steps: acquiring vehicle information of each vehicle; acquiring configuration parameters of each vehicle; the configuration parameters are obtained by self-checking and fed back by each vehicle according to a parameter acquisition task issued in advance; the parameter acquisition task comprises the type of the parameter to be acquired of each vehicle; determining a preset baseline configuration corresponding to each vehicle according to the vehicle information of each vehicle; the parameter type in the preset baseline configuration is consistent with the parameter type to be acquired; if any configuration parameter of the vehicle exceeds the parameter limit in the preset baseline configuration corresponding to the vehicle, generating an abnormal prompt task; triggering an exception prompt based on the exception prompt task; the abnormality prompt is used for prompting an abnormal vehicle with abnormal configuration state and abnormal parameters of the abnormal vehicle. The monitoring system and the monitoring method can realize monitoring of the configuration state of each vehicle in the motorcade and provide a basis for ensuring the reliable operation of the automatic driving motorcade.
Description
Technical Field
The application relates to the technical field of automatic driving, in particular to a vehicle configuration state monitoring method, a vehicle configuration state monitoring device, a storage medium and computer equipment.
Background
With the development of automated driving technology, the application of automated driving is expanded from a single vehicle to a fleet of vehicles, in which individually driven vehicles are equipped with several sensors and calculation units to achieve automated driving control. Along with the scale change of the fleet or the upgrade and iteration of the software and the hardware of the vehicle, the operation control of the same fleet may be abnormal, which is not beneficial to the reliable operation of the automatic driving vehicle.
Disclosure of Invention
The embodiment of the application provides a vehicle configuration state monitoring method, a vehicle configuration state monitoring device, a storage medium and computer equipment, which can realize monitoring of configuration states of vehicles in a fleet and provide a basis for ensuring reliable operation of an automatic driving fleet.
The application provides a vehicle configuration state monitoring method, which is applied to a vehicle management platform and comprises the following steps:
acquiring vehicle information of each vehicle;
acquiring configuration parameters of each vehicle; the configuration parameters are obtained by self-checking and fed back by each vehicle according to a parameter acquisition task issued in advance; the parameter acquisition task comprises the type of the parameter to be acquired of each vehicle;
determining a preset baseline configuration corresponding to each vehicle according to the vehicle information of each vehicle; the parameter type in the preset baseline configuration is consistent with the parameter type to be acquired;
if any configuration parameter of the vehicle exceeds the parameter limit in the preset baseline configuration corresponding to the vehicle, generating an abnormal prompt task;
triggering an exception prompt based on the exception prompt task; the abnormity prompt is used for prompting an abnormal vehicle with abnormal configuration state and abnormal parameters of the abnormal vehicle.
In one embodiment, the vehicle information includes a vehicle model and a vehicle attribute;
the determining a preset baseline configuration corresponding to each vehicle according to the vehicle information of each vehicle includes:
determining a primary baseline configuration corresponding to the vehicle model of each vehicle according to the vehicle model of each vehicle;
determining a secondary baseline configuration corresponding to the vehicle attribute of each vehicle in the primary baseline configuration according to the vehicle attribute of each vehicle;
determining the secondary baseline configuration as the pre-set baseline configuration.
In one embodiment, the vehicle configuration state monitoring method further comprises:
responding to a parameter acquisition definition instruction, and generating a parameter acquisition task; the parameter acquisition task is used for indicating each vehicle to preset a parameter type to be acquired corresponding to the vehicle information of each vehicle;
and sending the parameter acquisition task to each vehicle.
In one embodiment, the vehicle configuration state monitoring method further comprises:
responding to the parameter acquisition modification instruction, and generating a parameter acquisition modification task; the parameter acquisition modification task is used for indicating the target vehicle to add and/or delete at least one parameter type to be acquired;
and sending the parameter acquisition and modification task to the target vehicle.
In one embodiment, the generating an exception prompting task if any configuration parameter of the vehicle exceeds a parameter limit in a corresponding preset baseline configuration includes:
screening out effective parameters in the configuration parameters fed back by each vehicle;
comparing the effective parameters of each vehicle with a preset baseline configuration corresponding to each vehicle respectively;
and if any configuration parameter in the effective parameters exceeds the parameter limit in the corresponding preset baseline configuration, generating the abnormal prompt task.
The embodiment of the application also provides a vehicle configuration state monitoring method, which is applied to a vehicle and comprises the following steps:
acquiring configuration parameters according to the type of preset parameters to be acquired; the type of the parameter to be acquired is preset according to a parameter acquisition task issued by a vehicle management platform;
identifying whether the configuration parameters are abnormal or not according to the preset baseline configuration issued by the vehicle management platform;
if any configuration parameter exceeds the parameter limit in the corresponding preset baseline configuration, generating an abnormal prompt report;
uploading the exception prompting report to the vehicle management platform; and the vehicle management platform is used for triggering an abnormal prompt according to the abnormal prompt report, and the abnormal prompt is used for prompting an abnormal vehicle with an abnormal configuration state and abnormal parameters of the abnormal vehicle.
In one embodiment, the vehicle configuration state monitoring method further comprises:
uploading vehicle information to the vehicle management platform; the vehicle management platform is used for determining a preset baseline configuration according to the vehicle information;
and acquiring the preset baseline configuration issued by the vehicle management platform.
In one embodiment, the vehicle information includes a vehicle model and a vehicle attribute;
the vehicle management platform is used for determining primary baseline configuration according to the vehicle model, determining secondary baseline configuration corresponding to the vehicle attribute in the primary baseline configuration according to the vehicle attribute, and determining the secondary baseline configuration as the preset baseline configuration for issuing.
In one embodiment, the abnormality prompt report includes vehicle information and abnormality parameters; the vehicle management platform is used for associating the abnormal parameters with corresponding vehicles according to the vehicle information.
In one embodiment, the vehicle configuration state monitoring method further comprises:
and when a parameter acquisition and modification task issued by the vehicle management platform is received, adding and/or deleting at least one parameter type to be acquired according to the parameter acquisition and modification task.
The embodiment of the present application further provides a vehicle configuration state monitoring device, which is applied to a vehicle management platform, and the device includes:
the information acquisition module is used for acquiring vehicle information of each vehicle;
the parameter acquisition module is used for acquiring configuration parameters of each vehicle; the configuration parameters are obtained by self-checking and fed back by each vehicle according to a parameter acquisition task issued in advance; the parameter acquisition task comprises the type of the parameter to be acquired of each vehicle;
the base line determining module is used for determining a preset base line configuration corresponding to each vehicle according to the vehicle information of each vehicle; the parameter type in the preset baseline configuration is consistent with the parameter type to be acquired;
the abnormal prompt task generation module is used for generating an abnormal prompt task when any configuration parameter of the vehicle exceeds the parameter limit in the preset baseline configuration corresponding to the vehicle;
the prompt triggering module is used for triggering an abnormal prompt based on the abnormal prompt task; the abnormity prompt is used for prompting an abnormal vehicle with abnormal configuration state and abnormal parameters of the abnormal vehicle.
The embodiment of the present application further provides a vehicle configuration state monitoring device, which is applied to a vehicle, and the device includes:
the parameter acquisition module is used for acquiring configuration parameters according to preset parameter types to be acquired; the type of the parameter to be acquired is preset according to a parameter acquisition task issued by a vehicle management platform;
the abnormality identification module is used for identifying whether the configuration parameters are abnormal or not according to the preset baseline configuration issued by the vehicle management platform;
the report generation module is used for generating an abnormal prompt report when any configuration parameter exceeds the parameter limit in the corresponding preset baseline configuration;
the report uploading module is used for uploading the abnormity prompting report to the vehicle management platform; and the vehicle management platform is used for triggering an abnormal prompt according to the abnormal prompt report, and the abnormal prompt is used for prompting an abnormal vehicle with an abnormal configuration state and abnormal parameters of the abnormal vehicle.
The present embodiments also provide a storage medium, in which computer readable instructions are stored, and when executed by one or more processors, the one or more processors execute the steps of the vehicle configuration state monitoring method according to any one of the above embodiments.
An embodiment of the present application further provides a computer device, including: one or more processors, and a memory;
the memory has stored therein computer readable instructions which, when executed by the one or more processors, perform the steps of the vehicle configuration state monitoring method of any of the embodiments above.
According to the technical scheme, the embodiment of the application has the following advantages:
according to the vehicle configuration state monitoring method, the vehicle configuration state monitoring device, the storage medium and the computer equipment, the configuration of a parameter acquisition task is achieved through a vehicle management platform, the parameter types to be monitored are defined, the configuration parameters of the vehicle are judged abnormally according to the preset baseline configuration matched with different vehicles, and abnormal prompts are triggered when any configuration parameter of any vehicle does not meet the parameter limitation in the preset baseline configuration, so that operation and maintenance personnel can perform manual detection and adjustment in time, the efficiency of configuration parameter monitoring is improved, and the reliability of automatic driving of the vehicle is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a diagram of an exemplary embodiment of a vehicle configuration status monitoring method;
FIG. 2 is a schematic flow chart of a vehicle configuration status monitoring method according to one embodiment;
FIG. 3 is a flowchart illustrating the step of determining the default baseline configuration corresponding to each vehicle according to the vehicle information of each vehicle in one embodiment;
FIG. 4 is a schematic flow chart illustrating steps included in a vehicle configuration status monitoring method according to an exemplary embodiment;
FIG. 5 is a schematic flow chart illustrating steps included in a vehicle configuration status monitoring method according to an exemplary embodiment;
FIG. 6 is a flowchart illustrating the step of generating an exception prompt task if any configuration parameter of the vehicle exceeds a parameter limit in a corresponding default baseline configuration, according to an embodiment;
FIG. 7 is a schematic flow chart of a vehicle configuration status monitoring method according to another embodiment;
FIG. 8 is a schematic flow chart illustrating steps included in a vehicle configuration status monitoring method according to an exemplary embodiment;
FIG. 9 is a block diagram of a vehicle configuration state monitoring device according to an embodiment;
FIG. 10 is a block diagram showing the configuration of a vehicle arrangement state monitoring apparatus according to another embodiment;
FIG. 11 is a diagram of the internal structure of a computer device in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The vehicle configuration state monitoring method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the vehicle 101 communicates with the vehicle management platform 102 over a network. The data storage system may store data that the vehicle management platform 102 needs to process. The data storage system may be integrated on the vehicle management platform 102 or may be located on the cloud or other network server. The vehicle management platform 102 may be implemented by an independent server or a server cluster composed of a plurality of servers.
As shown in fig. 2, the present application provides a vehicle configuration status monitoring method applied to the vehicle management platform 102 in fig. 1, the method includes steps S201 to S205, where:
in step S201, vehicle information of each vehicle is acquired.
The vehicle information is identity information of the vehicle, and specific vehicles can be located in the fleet according to the vehicle information.
In step S202, the configuration parameters of each vehicle are acquired.
The configuration parameters are obtained by self-checking and fed back by each vehicle according to a parameter acquisition task issued in advance; the parameter acquisition task comprises the type of the parameter to be acquired of each vehicle.
In one embodiment, the parameter collection tasks issued to each vehicle may be different, and the vehicle management platform issues the corresponding parameter collection task according to the vehicle information of each vehicle. In another embodiment, the parameter collection tasks issued to each vehicle may be the same, but include a plurality of subtasks corresponding to different pieces of vehicle information, and each vehicle determines the type of the parameter to be collected according to the subtasks corresponding to the vehicle information when receiving the parameter collection task.
In one embodiment, the vehicle may acquire the configuration parameters according to a preset period, or may trigger acquisition according to an acquisition instruction sent by the vehicle management platform. In one embodiment, the vehicle may collect configuration parameters for uploading after each host startup.
In one embodiment, the configuration parameters to be collected may include hardware parameters, firmware parameters, operating system parameters, software parameters of the autopilot domain server, or other vehicle software and hardware parameters. Specifically, the hardware parameters of the autopilot domain server may include a CPU model, a CPU core number, a memory size, a memory slot arrangement, a hardware model, and the like. The firmware parameters may include a BIOS (Basic Input Output System) version, motherboard configuration parameters such as CPU or memory, a sensor firmware version, and the like. Operating system parameters may include OS version, kernel version, system level configuration, and the like. The software parameters may include autopilot system base parameters.
Step S203, determining a preset baseline configuration corresponding to each vehicle according to the vehicle information of each vehicle.
And the parameter type in the preset baseline configuration is consistent with the parameter type to be acquired.
For different vehicles, the situation that software versions or parts of hardware are inconsistent may exist, so that a plurality of baseline configurations corresponding to different vehicle information can be preset, and the normal work of each vehicle is not influenced on the premise of ensuring that the control of each vehicle in a fleet can be reliably realized. When the vehicle management platform selects the preset baseline configuration for issuing, the baseline configuration matched with each vehicle is respectively selected from the preset baseline configurations as the preset baseline configuration for issuing according to the vehicle information of each vehicle.
In one embodiment, the vehicle information includes vehicle types, and a baseline configuration may be preset for one or more vehicle types as needed.
And step S204, if any configuration parameter of the vehicle exceeds the parameter limit in the preset baseline configuration corresponding to the vehicle, generating an abnormal prompt task.
The parameter limit in the preset baseline configuration may be a specific parameter, and if a certain configuration parameter of the vehicle is inconsistent with a corresponding parameter in the preset baseline configuration, the parameter limit is considered to be exceeded; in one embodiment, the parameter limit in the pre-set baseline configuration may also be a parameter range or regular expression, and the parameter limit is considered to be exceeded only if it does not fall within the parameter range or does not satisfy the regular expression.
And step S205, triggering an abnormal prompt based on the abnormal prompt task.
The abnormal prompt is used for prompting an abnormal vehicle with abnormal configuration state and abnormal parameters of the abnormal vehicle.
For example, the abnormal prompt may be prompted through a front-end interface of the vehicle management platform to inform the operation and maintenance personnel which vehicle in the fleet is abnormal and the specific abnormal parameters of the abnormal vehicle, so that the operation and maintenance personnel can quickly locate the abnormal vehicle and perform the abnormal analysis, and can quickly handle the abnormal vehicle if debugging or maintenance is required.
In another embodiment, the abnormal prompt may be sent to the terminal of the operation and maintenance personnel through the vehicle management platform, so that the operation and maintenance personnel can know the abnormal information in time.
According to the vehicle configuration state monitoring method, the configuration of the parameter acquisition task is achieved through the vehicle management platform, the parameter types to be monitored are defined, the configuration parameters of the vehicles are judged abnormally according to the preset base line configurations matched with different vehicles, and abnormal prompts are triggered when any configuration parameter of any vehicle does not meet the parameter limitation in the preset base line configurations, so that operation and maintenance personnel can perform manual detection and adjustment in time, the efficiency of configuration parameter monitoring is improved, and the reliability of automatic driving of the vehicles is improved.
In one embodiment, the vehicle information includes a vehicle model and a vehicle attribute, and as shown in fig. 3, determining a preset baseline configuration corresponding to each vehicle according to the vehicle information of each vehicle includes steps S301 to S303, where:
in step S301, a primary baseline configuration corresponding to the vehicle model of each vehicle is determined according to the vehicle model of each vehicle.
Wherein the primary baseline configuration corresponds to a primary configuration classification of the vehicle model.
Step S302, a secondary baseline configuration corresponding to the vehicle attribute of each vehicle in the primary baseline configuration is determined according to the vehicle attribute of each vehicle.
The vehicle attribute refers to the working attribute of each vehicle in the fleet, such as a test vehicle, an operating vehicle, a fully unmanned vehicle and the like; the secondary baseline is configured to be a baseline corresponding to a vehicle attribute.
Step S303, determining the secondary baseline configuration as a preset baseline configuration.
The secondary baseline configuration is determined as a pre-set baseline configuration for comparison with configuration parameters of the vehicle feedback having corresponding vehicle information.
Because the requirements of configuration parameters may be different when vehicles of the same model are engaged in different working attributes, when a plurality of vehicles with working attributes exist in the fleet, the baseline configuration can be divided according to the vehicle attributes, the flexibility is higher, and the reliable operation of each vehicle in the automatic driving fleet can be ensured. In some embodiments, the vehicle information may also include other attributes, and one skilled in the art may preset more baseline configurations based on other attributes as desired.
In one embodiment, as shown in fig. 4, the vehicle configuration state monitoring method further includes steps S401-S402, in which:
step S401, responding to the parameter collection definition instruction, and generating a parameter collection task.
The parameter acquisition task is used for indicating each vehicle to preset a parameter type to be acquired corresponding to the vehicle information of each vehicle. The parameter acquisition definition instruction is input to the vehicle management platform by operation and maintenance personnel and comprises a trigger instruction matched with different vehicle information and to-be-acquired parameter types.
And step S402, sending a parameter acquisition task to each vehicle.
In the embodiment, the types of the parameters to be acquired of different vehicles can be manually defined, the flexibility is high, the parameters can be defined according to the running conditions of the motorcade, and unified management can be realized.
In one embodiment, as shown in fig. 5, the vehicle configuration state monitoring method further includes steps S501-S502, wherein:
step S501, responding to the parameter acquisition modification instruction, and generating a parameter acquisition modification task.
The parameter acquisition modification task is used for indicating the target vehicle to add and/or delete at least one parameter type to be acquired. The parameter acquisition modification instruction is input to the vehicle management platform by an operation and maintenance person, the type of a parameter to be acquired, which is required to be added or deleted by a vehicle corresponding to at least one type of vehicle information, for example, the type of the original parameter to be acquired includes three types, namely a, b and c, the type d of the parameter to be acquired needs to be added to the vehicle of the type, the operation and maintenance person inputs the parameter acquisition modification instruction, and the vehicle management platform generates a parameter acquisition modification task for instructing all the vehicles of the type A to add the type d of the parameter to be acquired.
And step S502, sending a parameter acquisition and modification task to the target vehicle.
And sending the parameter acquisition and modification task to a target vehicle needing to modify the type of the parameter to be acquired. The target vehicle can be a specific vehicle or a class of vehicles, and the operation and maintenance personnel can select the target vehicle through the parameter acquisition modification instruction.
The embodiment can flexibly realize the parameter types to be acquired of different motorcades or different vehicles, and can realize uniform configuration directly through the vehicle management platform without single vehicle debugging.
In one embodiment, as shown in fig. 6, if any configuration parameter of the vehicle exceeds the parameter limit in the corresponding preset baseline configuration, an abnormality prompt task is generated, including steps S601-S603, where:
step S601, screening out effective parameters from the configuration parameters fed back by each vehicle.
The effective parameters refer to the configuration parameters remaining after screening according to a preset screening mechanism.
For example, when the vehicle feeds back the configuration parameters, part of parameters in the uploaded report may be incomplete due to network problems, and the incomplete parameters cannot be used and need to be removed; in some embodiments, there may be some configuration parameters that do not need to be collected due to the fact that the vehicle fails to update the type of the parameter to be collected in time, the parameters of the configuration parameters need to be removed, and the remaining parameters after being screened by various screening mechanisms are effective parameters of each vehicle.
Step S602, comparing the effective parameters of each vehicle with the preset baseline configuration corresponding to each vehicle.
Step S603, if any configuration parameter in the valid parameters exceeds the parameter limit in the corresponding preset baseline configuration, an abnormal prompt task is generated.
In the embodiment, the configuration parameters fed back by the vehicle are screened effectively, the screened effective parameters are compared with the preset baseline configuration corresponding to the vehicle to which the effective parameters belong, whether abnormity exists is judged, the accuracy of monitoring the configuration parameters can be further ensured, and the influence of the invalid parameters on the result of abnormity identification is avoided.
In one embodiment, the vehicle management platform screens out vehicles needing abnormal monitoring according to vehicle attributes of each vehicle, compares configuration parameters fed back by the screened vehicles with corresponding preset baseline configurations, and generates an abnormal prompt task if the abnormal configuration occurs. For example, the test vehicle belongs to a vehicle which does not need to be subjected to abnormality monitoring, and after the test vehicle is screened out according to vehicle attributes, abnormality monitoring is carried out on the rest of the vehicles.
As shown in fig. 7, an embodiment of the present application further provides a vehicle configuration state monitoring method, which is applied to the vehicle in fig. 1, and the method includes steps S701 to S704, where:
and step S701, acquiring configuration parameters according to preset parameter types to be acquired.
The type of the parameter to be acquired is preset according to a parameter acquisition task issued by the vehicle management platform.
In one embodiment, the vehicle may acquire the configuration parameters according to a preset period, or may trigger acquisition according to an acquisition instruction sent by the vehicle management platform. In one embodiment, the vehicle may collect configuration parameters for uploading after each host startup.
Step S702, identifying whether the configuration parameters are abnormal according to the preset baseline configuration issued by the vehicle management platform.
And the parameter type in the preset baseline configuration is consistent with the parameter type to be acquired.
Step S703, if any configuration parameter exceeds the parameter limit in the corresponding preset baseline configuration, an exception prompt report is generated.
The parameter limit in the preset baseline configuration may be a specific parameter, and if a certain configuration parameter of the vehicle is inconsistent with a corresponding parameter in the preset baseline configuration, the parameter limit is considered to be exceeded; in one embodiment, the parameter limit in the pre-set baseline configuration may also be a parameter range or regular expression, and the parameter limit is considered to be exceeded only if it does not fall within the parameter range or does not satisfy the regular expression.
And step S704, uploading the abnormal prompt report to a vehicle management platform.
The vehicle management platform is used for triggering an abnormity prompt according to the abnormity prompt report, and the abnormity prompt is used for prompting an abnormal vehicle with abnormal configuration state and abnormal parameters of the abnormal vehicle.
For example, the abnormal prompt may prompt through a front-end interface of the vehicle management platform to inform an operation and maintenance worker of which vehicle in the fleet is abnormal and specific abnormal parameters of the abnormal vehicle, so that the operation and maintenance worker can quickly locate the abnormal vehicle to perform abnormal analysis, and can quickly handle the abnormal vehicle if debugging or maintenance is needed.
In another embodiment, the abnormal prompt may be sent to the terminal of the operation and maintenance personnel through the vehicle management platform, so that the operation and maintenance personnel can know the abnormal information in time.
According to the vehicle configuration state monitoring method, the configuration of a parameter acquisition task is achieved through the vehicle management platform, the parameter type to be monitored is defined, the preset baseline configuration is issued for different vehicles, the vehicles carry out abnormity judgment on the configuration parameters of the vehicles according to the preset baseline configuration, an abnormity prompt report is generated when abnormity is found and is uploaded to the vehicle management platform, the vehicle management platform triggers an abnormity prompt according to the abnormity prompt report, and then operation and maintenance personnel can carry out manual detection and adjustment in time, the efficiency of configuration parameter monitoring is improved, and the reliability of automatic driving vehicles is improved.
In one embodiment, the abnormity prompting report comprises vehicle information and abnormity parameters; and the vehicle management platform is used for associating the abnormal parameters with the corresponding vehicle according to the vehicle information.
In one embodiment, as shown in fig. 8, the vehicle configuration state monitoring method further includes steps S801-S802:
and step S801, uploading the vehicle information to a vehicle management platform.
The vehicle management platform is used for determining preset baseline configuration according to vehicle information.
Step S802, obtaining a preset baseline configuration issued by the vehicle management platform.
When the vehicle management platform selects the preset baseline configuration for issuing, the baseline configuration matched with each vehicle is respectively selected from the preset baseline configurations as the preset baseline configuration for issuing according to the vehicle information of each vehicle. For different vehicles, the situation that software versions or parts of hardware are inconsistent may exist, so that a plurality of baseline configurations corresponding to different vehicle information can be preset, and the normal work of each vehicle is not influenced on the premise of ensuring that the control of each vehicle in a fleet can be reliably realized.
In one embodiment, the vehicle information includes a vehicle model and vehicle attributes. The vehicle management platform is used for determining primary baseline configuration according to the vehicle model, determining secondary baseline configuration corresponding to the vehicle attribute in the primary baseline configuration according to the vehicle attribute, and determining the secondary baseline configuration as preset baseline configuration for issuing.
Wherein the primary baseline configuration corresponds to a primary configuration classification of the vehicle model. The vehicle attributes refer to the working attributes of each vehicle in a fleet, such as a test vehicle, an operating vehicle, a fully unmanned vehicle and the like; and determining the secondary baseline configuration as a preset baseline configuration and issuing the preset baseline configuration to the corresponding vehicle so as to enable each vehicle to perform abnormal identification on the configuration parameters of the vehicle.
Because the requirements of configuration parameters may be different when vehicles of the same model are engaged in different working attributes, when a plurality of vehicles with working attributes exist in the fleet, the baseline configuration can be divided according to the vehicle attributes, the flexibility is higher, and the reliable operation of each vehicle in the automatic driving fleet can be ensured. In some embodiments, the vehicle information may also include other attributes, and one skilled in the art may preset more baseline configurations based on other attributes as desired.
In one embodiment, the vehicle configuration state monitoring method further comprises:
and when a parameter acquisition and modification task issued by the vehicle management platform is received, adding and/or deleting at least one parameter type to be acquired according to the parameter acquisition and modification task.
The parameter acquisition modification task is used for indicating the target vehicle to add and/or delete at least one parameter type to be acquired. The parameter acquisition modification instruction is input by an operation and maintenance person to a vehicle management platform, the type of a parameter to be acquired, which is required to be added or deleted by a vehicle corresponding to at least one type of vehicle information, for example, the type of the original parameter to be acquired is a type, a type and a type, b and c, the type d of the parameter to be acquired is required to be added to the vehicle of the type, the operation and maintenance person inputs the parameter acquisition modification instruction, and the vehicle management platform generates a parameter acquisition modification task for indicating all the vehicles of the type A to add the type d of the parameter to be acquired.
The embodiment can flexibly realize the parameter types to be acquired of different motorcades or different vehicles, and can realize uniform configuration directly through the vehicle management platform without single vehicle debugging.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
The following describes a text processing apparatus provided in an embodiment of the present application, and the text processing apparatus described below and the text processing method described above may be referred to correspondingly.
As shown in fig. 9, an embodiment of the present application further provides a vehicle configuration status monitoring apparatus 900, which is applied to a vehicle management platform, and the apparatus includes:
an information obtaining module 901, configured to obtain vehicle information of each vehicle;
a parameter obtaining module 902, configured to obtain configuration parameters of each vehicle; the configuration parameters are obtained by self-checking and fed back by each vehicle according to a parameter acquisition task issued in advance; the parameter acquisition task comprises the type of the parameter to be acquired of each vehicle;
a baseline determining module 903, configured to determine a preset baseline configuration corresponding to each vehicle according to vehicle information of each vehicle; the parameter type in the preset baseline configuration is consistent with the parameter type to be acquired;
an exception prompt task generating module 904, configured to generate an exception prompt task when any configuration parameter of the vehicle exceeds a parameter limit in a preset baseline configuration corresponding to the vehicle;
a prompt triggering module 905, configured to trigger an exception prompt based on the exception prompt task; the abnormal prompt is used for prompting an abnormal vehicle with an abnormal configuration state and abnormal parameters of the abnormal vehicle.
In one embodiment, the vehicle information includes a vehicle model and a vehicle attribute; the baseline determination module includes:
a primary baseline determination unit for determining a primary baseline configuration corresponding to the vehicle model of each vehicle according to the vehicle model of each vehicle;
the secondary baseline determining unit is used for determining secondary baseline configuration corresponding to the vehicle attribute of each vehicle in the primary baseline configuration according to the vehicle attribute of each vehicle;
and the baseline determining unit is used for determining the secondary baseline configuration as the preset baseline configuration.
In one embodiment, the vehicle configuration state monitoring device 900 further comprises:
the first task generation module is used for responding to the parameter acquisition definition instruction and generating a parameter acquisition task; the parameter acquisition task is used for indicating each vehicle to preset a parameter type to be acquired corresponding to the vehicle information of each vehicle;
and the first task sending module is used for sending the parameter acquisition task to each vehicle.
In one embodiment, the vehicle configuration state monitoring device 900 further comprises:
the second task generation module is used for responding to the parameter acquisition modification instruction and generating a parameter acquisition modification task; the parameter acquisition modification task is used for indicating the target vehicle to add and/or delete at least one parameter type to be acquired;
and the second task sending module is used for sending the parameter acquisition and modification task to the target vehicle.
In one embodiment, the exception prompt task generation module includes:
the effective parameter screening unit is used for screening out effective parameters in the configuration parameters fed back by each vehicle;
the parameter comparison unit is used for respectively comparing the effective parameters of each vehicle with the preset baseline configuration corresponding to each vehicle;
and the abnormal prompt task generating unit is used for generating an abnormal prompt task when any configuration parameter in the effective parameters exceeds the parameter limit in the corresponding preset baseline configuration.
As shown in fig. 10, an embodiment of the present application further provides a vehicle configuration state monitoring apparatus 1000, which is applied to a vehicle, and includes:
a parameter acquisition module 1001 configured to acquire configuration parameters according to a preset parameter type to be acquired; the type of the parameter to be acquired is preset according to a parameter acquisition task issued by a vehicle management platform;
the abnormality identification module 1002 is configured to identify whether the configuration parameters are abnormal according to a preset baseline configuration issued by the vehicle management platform;
a report generating module 1003, configured to generate an exception prompt report when any configuration parameter exceeds a parameter limit in a corresponding preset baseline configuration;
a report uploading module 1004 for uploading the exception prompting report to the vehicle management platform; the vehicle management platform is used for triggering an abnormity prompt according to the abnormity prompt report, and the abnormity prompt is used for prompting an abnormal vehicle with abnormal configuration state and abnormal parameters of the abnormal vehicle.
In one embodiment, the vehicle configuration state monitoring device 1000 further includes:
the vehicle information uploading module is used for uploading vehicle information to the vehicle management platform; the vehicle management platform is used for determining preset baseline configuration according to the vehicle information;
and the baseline configuration acquisition module is used for acquiring the preset baseline configuration issued by the vehicle management platform.
In one embodiment, the vehicle configuration state monitoring device 1000 further comprises:
and the acquisition type modification module is used for adding and/or deleting at least one parameter type to be acquired according to the parameter acquisition modification task when the parameter acquisition modification task issued by the vehicle management platform is received.
The respective modules in the vehicle configuration state monitoring device described above may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, the present application further provides a storage medium having computer readable instructions stored therein, which when executed by one or more processors, cause the one or more processors to perform the steps of the vehicle configuration state monitoring method as described in any one of the above embodiments.
In one embodiment, the present application further provides a computer device having computer readable instructions stored therein, which when executed by one or more processors, cause the one or more processors to perform the steps of the vehicle configuration state monitoring method as described in any one of the above embodiments.
In one embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, and a network interface connected by a system bus. 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, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data. The network interface of the computer device is used for communicating with an external device through a network connection. The computer program is executed by a processor to implement a vehicle configuration state monitoring method.
Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the 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 (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain 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 devices, quantum computing based data processing logic devices, etc., without limitation.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise. Also, as used in this specification, the term "and/or" includes any and all combinations of the associated listed items.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, the embodiments may be combined as needed, and the same and similar parts may be referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (14)
1. A vehicle configuration state monitoring method is applied to a vehicle management platform and comprises the following steps:
acquiring vehicle information of each vehicle;
acquiring configuration parameters of each vehicle; the configuration parameters are obtained by self-checking and fed back by each vehicle according to a parameter acquisition task issued in advance; the parameter acquisition task comprises the type of the parameter to be acquired of each vehicle;
determining a preset baseline configuration corresponding to each vehicle according to the vehicle information of each vehicle; the parameter type in the preset baseline configuration is consistent with the parameter type to be acquired;
if any configuration parameter of the vehicle exceeds the parameter limit in the preset baseline configuration corresponding to the vehicle, generating an abnormal prompt task;
triggering an exception prompt based on the exception prompt task; the abnormity prompt is used for prompting an abnormal vehicle with abnormal configuration state and abnormal parameters of the abnormal vehicle.
2. The vehicle configuration state monitoring method according to claim 1, wherein the vehicle information includes a vehicle model and a vehicle attribute;
the determining a preset baseline configuration corresponding to each vehicle according to the vehicle information of each vehicle includes:
determining a primary baseline configuration corresponding to the vehicle model of each vehicle according to the vehicle model of each vehicle;
determining a secondary baseline configuration corresponding to the vehicle attribute of each vehicle in the primary baseline configuration according to the vehicle attribute of each vehicle;
determining the secondary baseline configuration as the pre-set baseline configuration.
3. The vehicle configuration state monitoring method according to claim 1 or 2, characterized by further comprising:
responding to a parameter acquisition definition instruction, and generating a parameter acquisition task; the parameter acquisition task is used for indicating each vehicle to preset a parameter type to be acquired corresponding to the vehicle information of each vehicle;
and sending the parameter acquisition task to each vehicle.
4. The vehicle configuration state monitoring method according to claim 3, further comprising:
responding to the parameter acquisition modification instruction, and generating a parameter acquisition modification task; the parameter acquisition modification task is used for indicating the target vehicle to add and/or delete at least one parameter type to be acquired;
and sending the parameter acquisition and modification task to the target vehicle.
5. The vehicle configuration state monitoring method according to claim 1 or 2, wherein if any configuration parameter of the vehicle exceeds a parameter limit in a corresponding preset baseline configuration, generating an abnormality prompt task includes:
screening out effective parameters in the configuration parameters fed back by each vehicle;
comparing the effective parameters of each vehicle with a preset baseline configuration corresponding to each vehicle respectively;
and if any configuration parameter in the effective parameters exceeds the parameter limit in the corresponding preset baseline configuration, generating the abnormal prompt task.
6. A vehicle configuration state monitoring method is applied to a vehicle, and comprises the following steps:
acquiring configuration parameters according to the type of preset parameters to be acquired; the type of the parameter to be acquired is preset according to a parameter acquisition task issued by a vehicle management platform;
identifying whether the configuration parameters are abnormal or not according to the preset baseline configuration issued by the vehicle management platform;
if any configuration parameter exceeds the parameter limit in the corresponding preset baseline configuration, generating an abnormal prompt report;
uploading the exception prompting report to the vehicle management platform; and the vehicle management platform is used for triggering an abnormal prompt according to the abnormal prompt report, and the abnormal prompt is used for prompting an abnormal vehicle with an abnormal configuration state and abnormal parameters of the abnormal vehicle.
7. The vehicle configuration state monitoring method according to claim 6, further comprising:
uploading vehicle information to the vehicle management platform; the vehicle management platform is used for determining a preset baseline configuration according to the vehicle information;
and acquiring the preset baseline configuration issued by the vehicle management platform.
8. The vehicle configuration state monitoring method according to claim 7, wherein the vehicle information includes a vehicle model and a vehicle attribute;
the vehicle management platform is used for determining primary baseline configuration according to the vehicle model, determining secondary baseline configuration corresponding to the vehicle attribute in the primary baseline configuration according to the vehicle attribute, and determining the secondary baseline configuration as the preset baseline configuration for issuing.
9. The vehicle configuration state monitoring method according to claim 6, wherein the abnormality prompt report includes vehicle information and abnormality parameters; the vehicle management platform is used for associating the abnormal parameters with corresponding vehicles according to the vehicle information.
10. The vehicle configuration state monitoring method according to claim 6, further comprising:
and when a parameter acquisition and modification task issued by the vehicle management platform is received, adding and/or deleting at least one parameter type to be acquired according to the parameter acquisition and modification task.
11. A vehicle configuration state monitoring device is applied to a vehicle management platform, and comprises:
the information acquisition module is used for acquiring vehicle information of each vehicle;
the parameter acquisition module is used for acquiring configuration parameters of each vehicle; the configuration parameters are obtained by self-checking and fed back by each vehicle according to a parameter acquisition task issued in advance; the parameter acquisition task comprises the type of the parameter to be acquired of each vehicle;
the base line determining module is used for determining a preset base line configuration corresponding to each vehicle according to the vehicle information of each vehicle; the parameter type in the preset baseline configuration is consistent with the parameter type to be acquired;
the abnormal prompt task generation module is used for generating an abnormal prompt task when any configuration parameter of the vehicle exceeds the parameter limit in the preset baseline configuration corresponding to the vehicle;
the prompt triggering module is used for triggering an abnormal prompt based on the abnormal prompt task; the abnormity prompt is used for prompting an abnormal vehicle with abnormal configuration state and abnormal parameters of the abnormal vehicle.
12. A vehicle configuration state monitoring device, applied to a vehicle, the device comprising:
the parameter acquisition module is used for acquiring configuration parameters according to preset parameter types to be acquired; the type of the parameter to be acquired is preset according to a parameter acquisition task issued by a vehicle management platform;
the abnormality identification module is used for identifying whether the configuration parameters are abnormal or not according to the preset baseline configuration issued by the vehicle management platform;
the report generation module is used for generating an abnormal prompt report when any configuration parameter exceeds the parameter limit in the corresponding preset baseline configuration;
the report uploading module is used for uploading the abnormity prompting report to the vehicle management platform; and the vehicle management platform is used for triggering an abnormal prompt according to the abnormal prompt report, and the abnormal prompt is used for prompting an abnormal vehicle with an abnormal configuration state and abnormal parameters of the abnormal vehicle.
13. A storage medium, characterized by: the storage medium having stored therein computer readable instructions which, when executed by one or more processors, cause the one or more processors to carry out the steps of the vehicle configuration state monitoring method according to any one of claims 1 to 10.
14. A computer device, comprising: one or more processors, and a memory;
the memory has stored therein computer readable instructions which, when executed by the one or more processors, perform the steps of the vehicle configuration state monitoring method as claimed in any one of claims 1 to 10.
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