CN112009494A

CN112009494A - Vehicle abnormity processing method and device, control equipment and storage medium

Info

Publication number: CN112009494A
Application number: CN201910464030.0A
Authority: CN
Inventors: 丁建新; 李海婷; 傅佳莉
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2019-05-30
Filing date: 2019-05-30
Publication date: 2020-12-01
Anticipated expiration: 2039-05-30
Also published as: CN112009494B

Abstract

The application discloses a vehicle abnormity processing method, a device, control equipment and a storage medium in the field of artificial intelligence, wherein the method comprises the following steps: detecting the running state of the vehicle and determining the running identifier of the vehicle; acquiring vehicle context information associated with the operation identifier, wherein the vehicle context information comprises state information and environment information; performing data analysis on state information and environment information included in the vehicle context information to obtain the abnormal grade of the vehicle; processing is performed according to an exception handling rule associated with the exception level. The method comprises the steps of detecting the running state of the vehicle, determining the running identification of the vehicle, obtaining the vehicle context information associated with the running identification, analyzing the vehicle context information to determine the abnormal grade of the vehicle, and processing according to the abnormal processing rule associated with the abnormal grade.

Description

Vehicle abnormity processing method and device, control equipment and storage medium

Technical Field

The present application relates to the field of vehicle safety technologies, and in particular, to a method and an apparatus for handling vehicle anomalies, a control device, and a storage medium.

Background

The vehicle safety problem frequently causes the vehicle safety to be more and more concerned and emphasized by people, and the current vehicle abnormity processing method mainly comprises the step that after the vehicle is difficult to drive due to obvious faults of the vehicle, a driver sends the vehicle to a maintenance point to be maintained by professional personnel, and the like.

It can be seen that the existing vehicle exception handling method is single and has poor handling timeliness, so that the vehicle exception handling efficiency is low.

Disclosure of Invention

The embodiment of the application provides an efficient vehicle abnormity processing method, and the efficiency of vehicle abnormity processing can be improved.

In one aspect, the present disclosure provides a vehicle abnormality processing method, which first detects a running state of a vehicle based on a vehicle abnormality processing apparatus or a control device, determines a running identifier of the vehicle, where the running identifier is used to uniquely identify the detected running state of the vehicle, such as a fault identification code, and then obtains vehicle context information associated with the running identifier, where the vehicle context information includes vehicle state information and environment information, the state information is used to indicate an operating state of a target component (the target component may be a certain component of the vehicle or may be the entire vehicle) in the vehicle, the environment information is used to indicate an environment condition associated with the vehicle, such as in-vehicle temperature information, and then performs data analysis on the vehicle context information to obtain an abnormality level of the vehicle, and finally, processing according to the exception handling rules associated with the exception levels, wherein different exception handling rules are associated with different exception levels. By the scheme provided by the embodiment, the running state of the vehicle can be monitored, the abnormal level of the vehicle can be more accurately evaluated by performing context analysis on various information of the vehicle according to the special running identifier, the optimal scheme is finally determined to process the vehicle, and the rapid detection, accurate analysis and personalized processing of the vehicle abnormality are realized.

In one possible design, when obtaining the vehicle context information associated with the operation identifier, the vehicle abnormality processing apparatus or the control device may first obtain monitoring item indication information configured for the operation identifier, where the monitoring item indication information is used to indicate state information and environment information of the vehicle that needs to be obtained under the operation identifier, then obtain the state information and the environment information of the vehicle according to the monitoring item indication information, and finally generate the vehicle context information according to the obtained state information and the environment information of the vehicle. Through the scheme provided by the embodiment, the information which can reflect the possible abnormality and the abnormal degree of the vehicle in the current running state can be acquired according to the running state of the vehicle, so that the accuracy of subsequently evaluating the abnormal grade of the vehicle is improved.

In one possible design, when obtaining the vehicle context information associated with the operation identifier, the vehicle abnormality processing apparatus or the control device may obtain state information associated with the identifier information, then obtain environment information associated with the state information based on the state information, where different pieces of state information are associated with different pieces of environment information, and finally obtain the vehicle context information according to a combination of the obtained state information and the environment information. By the scheme provided by the embodiment, different environmental information can be acquired according to different state conditions of the vehicle, so that the subsequent vehicle context information generated according to the state information and the environmental information of the vehicle is more accurate and diversified.

In one possible design, when obtaining the vehicle context information associated with the operation identifier, the vehicle abnormality processing apparatus or the control device may first obtain monitoring item indication information configured for the operation identifier, where the monitoring item indication information is used to indicate state information of the vehicle that needs to be obtained under the operation identifier, then obtain the state information of the vehicle according to the monitoring item indication information, then obtain environment information associated with the state information, where different pieces of state information are associated with different pieces of environment information, and finally obtain the vehicle context information according to a combination of the obtained state information and the environment information.

In one possible design, the vehicle abnormality processing device or the control apparatus may analyze the vehicle context information to obtain the abnormality description information of the vehicle, and then determine the abnormality level of the vehicle according to a mapping relationship between the abnormality description information and the abnormality level. According to the scheme provided by the embodiment, the abnormality level of the vehicle can be quickly determined according to the mapping relation between the abnormality description information and the abnormality level.

In one possible design, the vehicle abnormality processing apparatus or the control device may further acquire an abnormality processing rule set corresponding to the operation identifier, and then acquire an abnormality processing rule corresponding to the abnormality level in the abnormality processing rule set. According to the scheme provided by the embodiment, different exception handling rules can be adopted to handle the vehicle according to the exception grades of the vehicle in different running states, so that the exception handling efficiency is improved by providing diversified exception handling modes.

In one possible design, when performing processing according to an abnormality processing rule associated with the abnormality level, the vehicle abnormality processing device or the control device analyzes a processing type indicated by the abnormality processing rule associated with the abnormality level of the vehicle, and outputs prompt information according to the abnormality processing rule to prompt a user to process the vehicle according to the abnormality processing rule if the processing type indicated by the abnormality processing rule is a manual processing type, or performs abnormality repairing processing on the vehicle according to the abnormality processing rule if the processing type indicated by the abnormality processing rule is an automatic processing type. According to the scheme provided by the embodiment, the exception handling rule can be executed by a user or a vehicle exception handling device or a control device when being executed, so that the embodiment provides multiple exception handling modes and improves the exception handling efficiency.

In one possible design, the vehicle context information is generated according to state information and environment information in a database of the vehicle, and the data corresponding to the state information and the environment information recorded in the database includes: at least one of collected data from sensors disposed on the vehicle and data obtained via a network. Thus, when the vehicle context information is generated, the vehicle abnormality processing device or the control apparatus actually acquires the state information and the environment information of the vehicle in the database of the vehicle, and then combines the state information and the environment information in a fixed format to obtain the vehicle context information. According to the scheme provided by the embodiment, the state information and the environmental information of the vehicle can be acquired through various data sources such as the sensor and the network on the vehicle, so that the subsequently generated vehicle context information is richer, and the abnormal condition of the vehicle can be reflected more comprehensively and accurately.

In one possible design, the vehicle abnormality processing apparatus or the control device acquires monitoring item indicating information corresponding to the operation identifier of the vehicle after determining the operation identifier of the vehicle, the monitoring item indicating information describing information such as a name of data required for generating the vehicle context information and a format of the vehicle context information, such as an arrangement order of each data in the context information, and then acquires the state information and the environment information of the vehicle in a database of the vehicle according to the monitoring item indicating information after determining the monitoring item indicating information, and combines the state information of the vehicle and the environment information to obtain the vehicle context information according to the format of the vehicle context information indicated by the monitoring item indicating information. According to the scheme provided by the embodiment, the plurality of data are acquired from the database to generate the vehicle context information in real time only after the operation identification of the vehicle is determined, and therefore the scheme provided by the embodiment does not need to generate and store the vehicle context information corresponding to each operation identification in advance before the operation identification of the vehicle is determined, so that the scheme can save storage resources and reduce storage cost.

In another aspect, the present application provides a vehicle abnormality processing system, including a control device and a cloud server, where the control device detects an operating state of a vehicle, determines an operating identifier of the vehicle, and obtains vehicle context information associated with the operating identifier, where the vehicle context information includes vehicle state information and environment information, the state information is used to indicate an operating state of a target component (the target component may be a certain component of the vehicle or may be the entire vehicle) in the vehicle, the environment information is used to indicate environment information associated with the vehicle, and then the control device sends the vehicle context information to the cloud server, and the cloud server performs data analysis on the vehicle context information after receiving the vehicle context information, so as to obtain an abnormality level of the vehicle, and transmitting the abnormality level of the vehicle to the control apparatus, and then the control apparatus, after receiving the abnormality level of the vehicle, performs processing according to an abnormality processing rule associated with the abnormality level, wherein different abnormality levels are associated with different abnormality processing rules. According to the scheme provided by the embodiment, the process of carrying out data analysis on the vehicle context information to obtain the abnormal grade of the vehicle can be realized by utilizing the cloud server, so that the calculation pressure of the control equipment is shared, and the evaluation efficiency of the abnormal grade of the vehicle is improved.

In one possible design, the control device may first acquire monitoring item indication information configured for the operation identifier, where the monitoring item indication information is used to indicate state information and environment information of the vehicle that need to be acquired under the operation identifier, then acquire the state information and the environment information of the vehicle according to the monitoring item indication information, and finally generate vehicle context information according to the acquired state information and the environment information of the vehicle.

In one possible design, when obtaining the vehicle context information associated with the operation identifier, the control device may first obtain state information associated with the identifier information, then obtain environment information associated with the state information based on the state information, where different pieces of state information are associated with different pieces of environment information, and finally obtain the vehicle context information according to a combination of the obtained state information and the obtained environment information. By the scheme provided by the embodiment, different environmental information can be acquired according to different state conditions of the vehicle, so that the subsequent vehicle context information generated according to the state information and the environmental information of the vehicle is more accurate and diversified.

In one possible design, when obtaining the vehicle context information associated with the operation identifier, the control device may first obtain monitoring item indication information configured for the operation identifier, where the monitoring item indication information is used to indicate state information of the vehicle that needs to be obtained under the operation identifier, then obtain the state information of the vehicle according to the monitoring item indication information, then obtain environment information associated with the state information, where different pieces of state information are associated with different pieces of environment information, and finally obtain the vehicle context information according to a combination of the obtained state information and the environment information.

In a possible design, the cloud server may analyze the vehicle context information to obtain the abnormality description information of the vehicle, and then determine the abnormality level of the vehicle according to a mapping relationship between the abnormality description information and the abnormality level.

In a possible design, the control device may further obtain an exception handling rule set corresponding to the operation identifier, and then obtain an exception handling rule corresponding to the exception level in the exception handling rule set. According to the scheme provided by the embodiment, different exception handling rules can be adopted to handle the vehicle according to the exception grades of the vehicle in different running states, so that the exception handling efficiency is improved by providing diversified exception handling modes.

In one possible design, the control device may analyze a processing type indicated by the abnormality processing rule associated with the abnormality level of the vehicle when performing processing according to the abnormality processing rule associated with the abnormality level, and output a prompt message according to the abnormality processing rule to prompt a user to process the vehicle according to the abnormality processing rule if the processing type indicated by the abnormality processing rule is a manual processing type, or perform abnormality repairing processing on the vehicle according to the abnormality processing rule if the processing type indicated by the abnormality processing rule is an automatic processing type. By the scheme provided by the embodiment, diversified processing can be provided for the vehicle according to the fault level of the vehicle, and the efficiency of vehicle abnormity processing is improved.

In one possible design, the vehicle context information is generated according to state information and environment information in a database of the vehicle, and the data corresponding to the state information and the environment information recorded in the database includes: at least one of collected data from sensors disposed on the vehicle and data obtained via a network. Thus, when the vehicle context information is generated, the control device actually obtains the state information and the environment information of the vehicle in the database of the vehicle, and then combines the state information and the environment information according to a fixed format to obtain the vehicle context information. According to the scheme provided by the embodiment, the state information and the environmental information of the vehicle can be acquired from various data sources such as the sensor and the network on the vehicle, the subsequently generated vehicle context information is richer, and the abnormal condition of the vehicle can be reflected comprehensively and accurately.

In one possible design, the control device obtains monitoring item indicating information corresponding to the operation identifier of the vehicle after determining the operation identifier of the vehicle, the monitoring item indicating information includes information such as a name of data required for generating the vehicle context information and a format of the vehicle context information, for example, an arrangement order of each data in the context information, and then obtains the state information and the environment information of the vehicle in a database of the vehicle according to the monitoring item indicating information after determining the monitoring item indicating information, and combines the state information and the environment information of the vehicle according to the format of the vehicle context information indicated by the monitoring item indicating information to obtain the vehicle context information. According to the scheme provided by the embodiment, the plurality of data are acquired from the database to generate the vehicle context information in real time only after the operation identification of the vehicle is determined, and therefore the scheme provided by the embodiment does not need to generate and store the vehicle context information corresponding to each operation identification in advance before the operation identification of the vehicle is determined, so that the scheme can save storage resources and reduce storage cost.

In still another aspect, the present application provides a vehicle abnormality processing apparatus, which has some or all functions of implementing the control device in the above method example, for example, the functions of the vehicle abnormality processing apparatus may have the functions of some or all embodiments in the present application, or may have the functions of implementing any one embodiment in the present application separately. The functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software includes one or more units or modules corresponding to the above functions.

In yet another aspect, an embodiment of the present application provides a control device, including a processor and a memory, the processor and the memory being connected to each other, wherein the memory is used for storing a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method of any one of the above aspects.

In yet another aspect, an embodiment of the present invention provides a computer storage medium storing a computer program, the computer program comprising program instructions, which are executed by a processor to perform the method according to any one of the above aspects.

In yet another aspect, the present application further provides a computer program product including instructions, which when run on a computer, cause the computer to perform the method of any one of the above aspects.

In a further aspect, the present application provides a chip system comprising a processor for enabling a control device to implement the functions referred to in the above aspects, e.g. to generate or process data and/or information referred to in the above methods. In one possible design, the system-on-chip further includes a memory for storing program instructions and data necessary for the terminal device. The chip system may be formed by a chip, or may include a chip and other discrete devices.

According to the method and the device, the running state of the vehicle is detected firstly, after the running identifier of the vehicle is determined, the abnormal level for indicating the abnormal degree of the vehicle is determined according to the vehicle context information which is associated with the running identifier and comprises the state information of the vehicle, such as a power module of an engine and the like, a display module of an instrument panel and the like and the environment information of the vehicle, and finally the vehicle is processed according to the abnormal processing rule corresponding to the abnormal level of the vehicle, so that the requirements on automation and intelligent analysis of the vehicle are met, the abnormal analysis and processing efficiency of the vehicle are improved, the comprehensive analysis performed by integrating the state information and the environment information of the vehicle is realized, the abnormal severity of the vehicle can be more accurately embodied, and the abnormal processing can be more accurately performed.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below.

FIG. 1A is a schematic diagram of a vehicle anomaly handling system architecture provided by an embodiment of the present application;

FIG. 1B is a schematic flow chart illustrating a vehicle abnormality processing method according to an embodiment of the present disclosure;

FIG. 1C is a schematic diagram of another vehicle exception handling architecture provided by an embodiment of the present application;

FIG. 1D is a schematic diagram of a vehicle exception handling scenario provided by an embodiment of the present application;

FIG. 2 is a schematic flow chart diagram of another vehicle abnormality handling method provided by the embodiment of the application;

FIG. 3 is a flow chart of a vehicle exception handling interaction method provided by an embodiment of the present application;

FIG. 4 is a schematic flow chart diagram of another vehicle abnormality processing method provided by the embodiment of the application;

FIG. 5 is a schematic block diagram of a vehicle abnormality processing apparatus provided in an embodiment of the present application;

fig. 6 is a structural block diagram of a control device according to an embodiment of the present application.

Detailed Description

The vehicle abnormity processing device is mainly applied to vehicle abnormity processing, and a vehicle abnormity processing device or a control device is used for automatically detecting abnormity and completing corresponding processing. When the vehicle abnormity processing device or the control equipment performs data interaction with other equipment such as a vehicle, the vehicle abnormity processing device and the other equipment record and transmit the characteristics of the data according to a preset format, and can perform corresponding analysis and other processing on the received data in the preset format, wherein the characteristics of the data comprise time, place, type and the like.

The vehicle abnormality processing method of the present application will be described with reference to fig. 1A, 1B and 1C, and may be executed by a control device, which may be an onboard device on a vehicle, communicating with various other devices in the vehicle, such as a memory, a sensor, etc. In other embodiments, the control device may be a stand-alone device that is connected to the vehicle and is capable of communicating with associated devices in the vehicle to perform vehicle anomaly detection, analysis, and processing. As shown in fig. 1A, in the present solution, the control device and the cloud server cooperate to jointly complete the vehicle exception handling method of the present solution. In other embodiments, as shown in fig. 1C, the vehicle abnormality processing method of the present application may also be implemented by a control device alone, that is, the control device in fig. 1C may also further implement the functions of the modules of the cloud server in fig. 1A.

In one embodiment, as illustrated in the architecture of the vehicle in FIG. 1A, the vehicle includes functional components such as a control device, a positioning module, a power module, a display module, and a communication module. The control device is mainly used for achieving functions of data acquisition, data integration and abnormal processing of the vehicle according to an analysis result of the cloud server, the data acquisition, the data integration and the abnormal processing mainly refer to the acquisition and caching of data generated in each sensor in the vehicle respectively, data used for representing a vehicle state and the internal and external environments of the vehicle are acquired from the cached data to form vehicle context information, and the vehicle is processed according to the abnormal grade of the vehicle obtained through analysis of the cloud server. The positioning module is mainly used for positioning the vehicle, and specifically can be any one of positioning systems such as a GPS, a Beidou, a Galileo system and a Grooss system. The power module is a non-power module power source such as a storage battery for supplying power to the control device, and the power module can also be a power module power source for supplying power to the power module. The display module is a dial, a central control operation display and other display equipment which is not related to safety and the like and is used for providing a visual interface. The power module is a power system of a traditional internal combustion engine, a battery module of a new energy automobile and the like and is used for providing running power for the automobile. The related data of the positioning module, the power supply module, the display module and the power module can be sent to the control equipment through corresponding data interfaces, so that the control equipment can complete the work of data acquisition, caching and reporting to the cloud server. The communication module is a communication component based on any communication protocol, and the control device can communicate with other devices (such as a cloud server) based on the communication module.

As shown in the architecture of the cloud server in fig. 1A, the cloud server at least includes an anomaly analysis module, a failure mode library and a communication module, wherein the anomaly analysis module is configured to perform anomaly analysis on the vehicle context information in combination with the failure mode library, so as to analyze an anomaly level indicating an anomaly severity of the vehicle, the communication module is a communication component based on any communication protocol, and the cloud server device can communicate with other devices (e.g., a control device in the vehicle, etc.) based on the communication module. The fault mode library comprises various fault modes defined according to the ISO26262 standard, such as low voltage faults, power failure faults, CAN bus abnormal faults and the like, wherein the ISO26262 standard is an international standard on the functional safety of an automobile electric control system and defines a data standard of fault risks in the aspect of automobile electric control.

Next, a flow of jointly completing the present solution by using the vehicle including the control device and the cloud server will be described with reference to fig. 1B. In step S101, a control device in a vehicle performs data collection, that is, collects and caches data from sensors of various components in the vehicle, then in step S102, the control device performs data integration on the data collected by the data collection, that is, forms vehicle context information according to the cached data, then in step S103, the control device transmits the vehicle context information obtained by the data integration to a cloud server through a communication module of the vehicle, after the vehicle context information is received by a communication module of the cloud server, the cloud server performs anomaly analysis on the received vehicle context information in step S104 to obtain an anomaly level of the vehicle, then in step S105, the cloud server transmits the anomaly level obtained by the anomaly analysis to the vehicle through the communication module of the cloud server, after the control device of the vehicle receives the anomaly level through the communication module of the vehicle, in step S106, the vehicle is subjected to an exception handling according to the exception level, that is, an exception handling rule corresponding to the exception level is obtained to handle the vehicle.

In another embodiment, as shown in fig. 1C, the vehicle abnormality processing method of the present application may also be implemented by a control device alone, and the control device may implement functions of modules of the cloud server in fig. 1A, that is, the control device may implement functions of the failure mode library and the abnormality analysis module in the cloud server, specifically, steps S101, S102, S104, and step S106 in fig. 1B are all executed by the control device, and steps S103 and step S105 are not executed.

In order to better understand the embodiment of the present application, the following describes a scheme for applying the present application by taking an example in which the control device completes the present application alone, and combining three application scenarios shown in fig. 1D. 1D, a first application scene is that potential safety hazards exist in vehicle components, a second application scene is that potential safety hazards exist in the vehicle internal environment, and a third application scene is that potential safety hazards exist in the vehicle external environment. Next, the present application will respectively describe three application scenarios shown in fig. 1D by taking a failure of a vehicle component as an example in which a vehicle door cannot be opened, a potential safety hazard of a vehicle internal environment is that a child is locked in the vehicle, and a potential safety hazard of a vehicle external environment is that the vehicle is impacted.

The vehicle can self-check the running state of the vehicle as required to determine a running identifier for identifying the running state of the vehicle, wherein the running state of the vehicle comprises the working state of the vehicle component and/or the environmental state of the vehicle environment, the working state of the vehicle component mainly comprises the abnormal state of the vehicle component, and the environmental state of the vehicle environment mainly comprises the environmental state of the environment outside the vehicle and the environmental state of the environment outside the vehicle. Specifically, trigger information used for indicating the running state of the vehicle is detected, and in the case that the trigger information is detected, an operation identifier corresponding to the trigger information is obtained as the running identifier of the vehicle, wherein the trigger information is used for indicating that the vehicle has a potential safety hazard, the trigger information includes component trigger information, environment trigger information and the like, and the trigger information can be sensed by some specially-arranged sensors and sent to the control device. The component trigger information is used for indicating the working state of the vehicle component, namely the vehicle component has a fault, such as a vehicle door cannot be opened, and the environment trigger information is used for indicating the environment state of the vehicle environment, namely the vehicle environment has a potential safety hazard. In more detail, the environment trigger information includes external environment trigger information for indicating an environment state of an environment external to the vehicle, that is, a potential safety hazard exists in the environment external to the vehicle, such as an external collision, and internal environment trigger information for indicating an environment state of an environment internal to the vehicle, that is, a potential safety hazard exists in the vehicle, that is, a child exists in the vehicle. It should be noted that, if the trigger information itself is identification information (for example, when there is a failure in a vehicle component, the trigger information is represented by a failure code), the detected trigger information is directly used as an operation identifier (the detected failure code is used as an operation identifier of the vehicle).

The three application scenarios shown in fig. 1D correspond to three manners of determining the operation identifier of the vehicle, respectively, and the determination manner of the first scenario is as follows: when the triggering information is component triggering information, and component triggering information used for indicating that safety hazards exist in vehicle components is detected, for example, a fault code 0X0B02 of a vehicle door fault is detected, the fault code is used as an operation identifier of the vehicle; the second scenario determination method is: when detecting that internal environment trigger information for indicating that potential safety hazards exist in the vehicle, for example, when detecting that children exist in the vehicle through in-vehicle image information acquired by a visual sensor such as a camera after a preset time since the vehicle is turned off, special internal environment trigger information may be generated by an apparatus for performing image detection, and in a relationship mapping table between the internal environment trigger information and an operation identifier, an operation identifier 100001 corresponding to the special internal environment trigger information is acquired as the operation identifier of the vehicle; the third scenario determination method is: when the trigger information is external environment trigger information, and it is detected that there is a potential safety hazard indicating that the external environment of the vehicle exists, for example, when it is detected that the outside of the vehicle collides with another object through data collected by the pressure sensor, the special external environment trigger information generated by the device performing collision determination may be obtained, and in a relation mapping table between the external environment trigger information and the operation identifier, the operation identifier 200001 corresponding to the external environment trigger information is obtained as the operation identifier of the vehicle.

After determining the operation identification of the vehicle, the control device acquires vehicle context information associated with the operation identification of the vehicle, the vehicle context information including state information of the vehicle indicating an operating state of a target component in the vehicle (the target component may be a certain component of the vehicle or may be the entire vehicle) and environment information indicating environment information associated with the vehicle including an in-vehicle environment condition and an out-vehicle environment condition. Specifically, monitoring item indicating information configured for the operation identifier is obtained first, the monitoring item indicating information not only indicates names of data to be obtained, but also indicates a format of vehicle context information, that is, positions of the data to be obtained in the vehicle context information, so that state information and environment information of the vehicle are obtained according to the monitoring item indicating information (or the state information of the vehicle is obtained first according to the monitoring item information, then the environment information associated with the state information is obtained), and finally the obtained state information and the environment information of the vehicle are combined to obtain the vehicle context information according to the format of the vehicle context information indicated by the monitoring item indicating information. More specifically, in the first application scenario, the monitoring item indication information configured for the operation identifier 0X0B02 is "vehicle speed information, temperature information, window state information, image information, and audio information", data of a vehicle is collected according to the monitoring item indication information, and the collected data of the vehicle is combined together according to the format of the vehicle context information indicated by the monitoring item indication information to obtain vehicle context information { vehicle speed information, temperature information, window state information, image information, and audio information }; in a second application scenario, the monitoring item indication information configured for the operation identifier 100001 is "vehicle speed information, temperature information, window state information, image information, audio information", and vehicle data is acquired according to the monitoring item indication information, and the acquired vehicle data is combined together according to the format of the vehicle context information indicated by the monitoring item indication information to obtain vehicle context information { vehicle speed information, temperature information, window state information, image information, audio information }; in a third application scenario, the monitoring item indicating information configured for the operation identifier 200001 is "vehicle speed information, image information, and audio information", and vehicle data is collected according to the monitoring item indicating information, and the collected vehicle data is combined together according to the format of the vehicle context information indicated by the monitoring item indicating information to obtain vehicle context information { vehicle speed information, image information, and audio information }. It should be noted that each item in the monitoring item indication information is a data name, and each item in the vehicle context information is a specific numerical value corresponding to the data name.

It should be noted that the vehicle context information is different from the trigger information, the vehicle context information includes specific data about the vehicle component and the environment inside and outside the vehicle, and the trigger information includes only information indicating whether there is an abnormality in the vehicle component or the environment inside and outside the vehicle. Specifically, unlike the state information in the vehicle context information, the component trigger information only indicates a component with a fault, such as a fault code, and the state information is specific data of the component, such as a specific numerical value of the vehicle component acquired by a sensor; different from the environmental information in the vehicle context information, the environmental internal trigger information and the environmental external trigger information only indicate that the vehicle internal environment and the vehicle external environment have potential safety hazards respectively, and the environmental information is specific data of the vehicle internal environment and the vehicle external environment, such as an environmental image and an environmental temperature acquired by a sensor.

After obtaining the vehicle context information, the control device performs data analysis on the vehicle context information to obtain the abnormal level of the vehicle. Specifically, the abnormality description information of the vehicle is obtained according to the analysis of the vehicle context information, and then the abnormality level of the vehicle is determined according to the mapping relationship between the abnormality description information and the abnormality level. More specifically, in the first application scenario, the vehicle context information { vehicle speed information, temperature information, window state information, image information, audio information } associated with the operation identifier 0X0B02 is analyzed to obtain the abnormal description information of the vehicle as "only children without behavior ability in the vehicle and crying and screaming" or "bad", and then the abnormal level "fatal" associated with the abnormal description information is obtained; in a second application scenario, vehicle context information { vehicle speed information, temperature information, window state information, image information and audio information } associated with the operation identifier 100001 is analyzed, abnormal description information of the vehicle is obtained, namely that only children without behavior ability in the vehicle and the children cry or are bad, and then an abnormal grade 'fatal' associated with the abnormal description information is obtained; in a third application scenario, the vehicle context information { vehicle speed information, image information, audio information } associated with the operation identifier 200001 is analyzed to obtain the abnormality description information of the vehicle as "lightly rubbed with other vehicles" or "in", and then the abnormality level "general" associated with the abnormality description information is obtained. It should be noted that the present application does not limit the specific representation forms of the anomaly description information and the anomaly level.

After the abnormal level of the vehicle is determined, the control device firstly acquires an abnormal processing rule set corresponding to the operation identifier, then acquires an abnormal processing rule corresponding to the abnormal level of the vehicle from the abnormal processing rule set, and finally processes according to the abnormal processing rule related to the abnormal level, wherein different abnormal levels are related to different abnormal processing rules, the processing according to the abnormal processing rule refers to firstly analyzing the processing category indicated by the abnormal processing rule to determine whether the processing category indicated by the abnormal processing rule is manually executed by a user or automatically executed by the control device, and then when the processing category indicated by the abnormal processing rule is determined to be a manual processing category, prompt information is generated and output according to the abnormal processing rule to prompt the user to process the vehicle according to the abnormal processing rule, for example, the user is prompted to open a window of the vehicle, and in another case, when it is determined that the processing category indicated by the abnormality processing rule is the automatic processing category, the control device directly performs abnormality repairing processing on the vehicle according to the abnormality processing rule, for example, the control device controls the opening of a window of the vehicle, and in another case, when the processing category indicated by a part of the contents in the abnormality processing rule is the manual processing category, and the processing category indicated by the remaining part of the contents is the automatic processing category, then when the processing is performed according to the abnormality processing rule, the manual processing is performed according to the contents indicated as the manual processing category in the abnormality processing rule, and the automatic processing is performed according to the contents indicated as the automatic processing category in the abnormality processing rule.

Specifically, in a first application scenario, an exception handling rule set corresponding to an operation identifier 0x0B02 is obtained, then an exception handling rule corresponding to an exception level "difference" of a vehicle is obtained in the exception handling rule set to play music or a recording for relieving emotion, and simultaneously a vehicle owner is notified of an in-vehicle situation or an automatic control vehicle lamp flickers to remind an outside person of paying attention, and then it is determined that a handling category indicated by a part of content "play music or recording for relieving emotion" in the exception handling rule is obtained as an automatic handling category, so that a control device controls a component such as an audio player of the vehicle to play an audio for relieving emotion, and determines that a remaining part of content "notify an in-vehicle situation or automatically control vehicle lamp flickers to remind an outside person of paying attention" is obtained as a manual handling category, and then the control device sends a prompt message "vehicle exception" to a preset association device through a communication module of the vehicle, the door can not be opened and only the crying child is in the car to prompt the situation in the main car of the car, or the car light flickers to prompt the attention of passers-by; in a second application scenario, an exception handling rule set corresponding to an operation identifier 100001 is obtained, then an exception handling rule set corresponding to an exception level difference is obtained in the exception handling rule set to play music or record for relieving emotion, and simultaneously notify a vehicle owner of the situation in the vehicle or automatically control the vehicle lamp to flash to remind people outside the vehicle to pay attention, then the handling category indicated by part of contents in the exception handling rule "play music or record for relieving emotion" is determined to be an automatic handling category, so that a control device controls components such as an audio player of the vehicle to play audio for relieving emotion, determines that the remaining part of contents in the exception handling rule "notify the vehicle owner of the situation in the vehicle or automatically control the vehicle lamp to flash to remind people outside the vehicle" is determined to be a manual handling category, and then the control device sends a prompt message "vehicle exception" to a preset associated device through a communication module of the vehicle, the door can not be opened and only the crying child is in the car to prompt the situation in the main car of the car, or the car light flickers to prompt the attention of passers-by; in the third application scenario, the exception handling rule set corresponding to the operation identifier 200001 is obtained, then the exception handling rule set corresponding to "the exception handling rule" in the exception level is obtained to prompt the nearest maintenance location and maintenance evaluation, and the video recording in the latest period of time is stored, the accident location and the vehicle involved in the accident are recorded, then the processing category indicated by the partial content "prompt the nearest maintenance location and maintenance evaluation" in the exception handling rule is determined to be the manual processing category, so that the control device controls the audio player of the vehicle to prompt the address of the nearest maintenance location and maintenance evaluation, or displays the map containing the route from the location of the vehicle to the nearest maintenance location and the estimated maintenance price through the display screen, and determines to obtain the remaining partial content "the video recording in the exception handling rule stored in the latest period of time, recording the accident site and the processing type indicated by the vehicle involved in the accident are automatic processing types, so that the control equipment stores the video recording of the latest period of time shot by the camera device of the vehicle, stores the position information positioned by the positioning module of the vehicle when the trigger information is detected, and identifies and records the license plate of the vehicle in the video recording. The above-mentioned exception handling rules are only examples, and should not be limited to the present application.

The vehicle context information is generated by the local control device according to the state information and the environment information acquired from the database of the vehicle, and the data corresponding to the state information and the environment information recorded in the database of the vehicle may be acquired by sensors on the vehicle, or may be at least one of data acquired through a network.

According to the fig. 1D and the above description, it can be seen that the method and the system can not only detect, analyze and process the abnormality of the components of the vehicle, but also detect, analyze and process the potential safety hazard of the internal environment of the vehicle and the potential safety hazard of the external environment of the vehicle, so that the method and the system can process various types of vehicle abnormalities, and more comprehensively ensure the safety of the vehicle. In addition, this application can come to carry out the integrated analysis to the unusual severity of vehicle through the status information and the environmental information to the vehicle that gather, thereby obtain the unusual grade that is used for expressing the unusual severity of vehicle, and adopt different exception handling rules to handle the vehicle according to unusual grade, thereby improve vehicle exception handling's efficiency, such advantage lies in, because unusual grade not only embodies the severity of unusual itself, also embody the influence of the unusual severity of vehicle internal and external environment to the vehicle simultaneously, then unusual grade can be more accurate to vehicle unusual severity aassessment, and be favorable to follow-up according to the unusual grade of vehicle to the trouble of vehicle carry out effective and diversified processing, thereby vehicle exception handling efficiency has been improved.

It should be noted that the contents shown in fig. 1A, fig. 1B, fig. 1C, and fig. 1D are examples, and do not constitute a limitation to the embodiment of the present application, because the present application does not limit the specific contents and specific expressions of the operation identifier, the monitoring item indication information, the vehicle context information, the abnormality description information, the abnormality level, the abnormality processing rule, and the like.

Referring to fig. 2, which is a schematic flowchart of a vehicle abnormality processing method provided in an embodiment of the present application, the vehicle abnormality processing method shown in fig. 2 may include:

201: the control equipment detects the running state of the vehicle and determines the running identifier of the vehicle.

In the embodiment of the application, the control device detects the running state of the vehicle at regular time to determine the running identifier of the vehicle, the running identifier can uniquely determine the running state of the vehicle, different running states are represented by different running identifiers, the running identifiers comprise any combination of numbers, letters and special characters, and the concrete representation form of the running identifiers is not limited by the application.

Specifically, the control device detects the running state of the vehicle, and determining the running identifier of the vehicle means detecting the triggering information of the vehicle, and acquiring the running identifier corresponding to the triggering information as the running identifier of the vehicle when the triggering information is detected. The triggering information is used for indicating that a potential safety hazard exists in the vehicle, and includes component triggering information and environment triggering information, the component triggering information is used for indicating that a vehicle component has a fault, such as a fault code for indicating that a vehicle door cannot be opened, and the like, the environment triggering information is used for indicating that a potential safety hazard exists in a vehicle environment, and in more detail, the environment triggering information includes external environment triggering information and internal environment triggering information, the external environment triggering information is used for indicating that a potential safety hazard exists in an external environment of the vehicle, such as sensing data for indicating that a collision exists outside the vehicle, and the internal environment triggering information is used for indicating that a potential safety hazard exists in an external environment of the vehicle, such as an identification result that a child exists in an in-vehicle image shot by a camera device, and the. It should be noted that, if the trigger information itself is identification information (for example, a fault code is generated when a vehicle component has a fault, and a fault code itself is identification information for indicating a faulty vehicle component in a vehicle, and different fault codes correspond to faults of different vehicle components), the detected trigger information is directly used as an operation identifier (the detected fault code is directly used as an operation identifier of the vehicle).

Next, the embodiments of the present application are illustrated by taking the first application scenario shown in fig. 1D as an example, but it should be noted that this is merely an example for facilitating understanding of the solution, and should not be limited to the embodiments of the present application.

For example, when the control device at the home terminal detects component triggering information, that is, detects a fault code 0X0B02 indicating a door fault, the fault code is used as an operation indicator of the vehicle, and then it is known that the meaning represented by the fault code 0X0B02 is "the door cannot be opened" by referring to table 1 below. It should be noted that, in the following examples, the trigger information is taken as the fault code 0X0B02 for explanation.

TABLE 1

Fault code	Failure mode
		0X0001	Computer power-off of traveling crane
0X0002	Steering failure
		0X0A00	Abnormal tire pressure
0X0B00	Non-display of central control computer
		0X0B02	The door of the vehicle cannot be opened

When a control device or a device for recording an abnormality (for example, a black box, a forensic recorder, or a failure diagnosis unit) detects an abnormality in one piece of data of a vehicle component or the environment inside and outside the vehicle, trigger information for triggering a subsequent vehicle abnormality detection process is generated based on the abnormal data, and the trigger information includes only information indicating whether or not there is an abnormality in the vehicle component or the environment inside and outside the vehicle, and does not include specific data on the vehicle component or the environment inside and outside the vehicle. The device for recording an abnormality may transmit the trigger information to the control device after generating the trigger information if the device for generating the trigger information is a device for recording an abnormality, and the communication method between the device for recording an abnormality and the control device may be a vehicle communication method using any one of a CAN bus, an Ethernet bus, a LIN bus, and a FlexRay bus, which is not limited in the embodiments of the present invention.

202: the control device acquires the vehicle context information associated with the operation identifier.

In the embodiment of the application, after determining the operation identifier of the vehicle, the control device obtains vehicle context information associated with the operation identifier of the vehicle, wherein the vehicle context information comprises state information and environment information of the vehicle, the state information is used for indicating the working state of a target component (the target component can be a certain component of the vehicle and can also be the whole vehicle) in the vehicle, and the environment information is used for indicating environment information associated with the vehicle, and comprises in-vehicle environment information and out-vehicle environment information. The state information and the environment information of the vehicle are acquired from a database set for the vehicle, and the data corresponding to the state information and the environment information recorded in the database can be data acquired by a sensor on the vehicle or acquired through a network, specifically, the state information of the vehicle is data acquired by a sensor of the vehicle, such as door state information acquired by an infrared sensor, window state information acquired by an infrared sensor, vehicle position information acquired by a positioning system, steering information acquired by a gyroscope, acceleration information acquired by an accelerometer, vehicle speed information calculated by the steering information and the acceleration information, and the like; the in-vehicle environment information is data acquired by a sensor of the vehicle, such as in-vehicle temperature information acquired by a temperature sensor, image information shot by an in-vehicle camera, audio information acquired by a microphone, and the like; the vehicle exterior environment information comprises data collected by a sensor of a vehicle and at least one of the data obtained through network acquisition, wherein when the vehicle exterior environment information is the data collected by the sensor of the vehicle, the vehicle exterior environment information comprises, for example, obstacle distance information between the vehicle and an obstacle collected by an infrared sensor, impact information collected by a vehicle body pressure sensor, image information shot by a vehicle exterior camera and the like, when the vehicle exterior environment information is the data obtained through network acquisition, the vehicle exterior environment information comprises, for example, environment terrain information obtained through network, distance information obtained through network and the nearest maintenance station, traffic conditions obtained through network and the like.

It should be noted that, unlike the component trigger information, the state information and the environment information in the vehicle context information are only used to indicate that an abnormality, such as a fault code, occurs in the vehicle, and the state information and the environment information in the vehicle context information are specific data, such as a data stream generated by a vehicle component collected by a sensor.

It should be further noted that different operation identifiers may correspond to different pieces of vehicle context information, for example, the correspondence between the operation identifiers and the vehicle context information shown in table 2.

TABLE 2

In one implementation, when the vehicle context information associated with the operation identifier is acquired, state information associated with the identifier information is acquired, then environment information associated with the state information is acquired, different environment information is associated according to different association information, and finally the vehicle context information is obtained by combining the acquired state information and the acquired environment information.

For example, assuming that the trigger information is a fault code 0X0B02, making the operation identifier of the vehicle also be 0X0B02, then obtaining status information associated with the identifier information 0X0B02, including vehicle speed information and window status information, and then obtaining environment information associated with the status information, for example, in a first case, if the vehicle speed information in the status information indicates that the vehicle is operating and the window status information in the status information indicates that the window of the vehicle is closed, the environment information associated with the status information includes in-vehicle temperature information, image information, and temperature information, and then combining the status information and the environment information to obtain vehicle context information { vehicle speed information, in-vehicle temperature information, window status information, image information, audio information }; in the second case, if the vehicle speed information in the state information indicates that the vehicle is running and the window state information in the state information indicates that the window of the vehicle is open, the environment information associated with the state information includes image information and audio information, and then the vehicle context information { vehicle speed information, window state information, image information, audio information } is obtained from the combination of the state information and the environment information. In addition, the environmental information corresponding to the state information is not listed in the third case (the vehicle speed information in the state information indicates that the vehicle is stationary, and the window state information in the state information indicates that the window is closed), and in the fourth case (the vehicle speed information in the state information indicates that the vehicle is stationary, and the window state information in the state information indicates that the window is opened).

In one implementation, when obtaining the vehicle context information associated with the operation identifier, first obtain monitoring item indication information configured for the operation identifier, then obtain the state information and the environment information of the vehicle according to the state information to be collected and the name of the environment information indicated in the monitoring item indication information (or obtain the state information of the vehicle according to the name of the state information to be collected and indicated in the monitoring item indication information, and obtain the environment information associated with the state information), and finally generate the vehicle context information according to the format of the vehicle context information indicated in the monitoring item indication information, and the obtained state information and the environment information of the vehicle.

For example, assuming that the trigger information is the fault code 0X0B02, the operation identifier of the vehicle is also 0X0B02, then the monitoring item indication information "vehicle speed information, in-vehicle temperature information, window state information, image information, audio information" configured with the identifier information 0X0B02 is obtained, the monitoring item indication information indicates the name of the state information and environment information that need to be collected and the format of the vehicle context information (for example, the arrangement sequence of each data that need to be collected in the vehicle context information, etc.), then the state information and the environment information are obtained according to the monitoring item indication information, and the state information and the environment information are combined to obtain the vehicle context information { vehicle speed information, in-vehicle temperature information, window state information, image information, audio information }. In another case, the status information is obtained according to the name of the status information indicated in the monitoring item, then the environmental information associated with the status information is obtained, and finally the vehicle context information is obtained according to the combination of the obtained status information and the environmental information.

It should be further noted that, before obtaining the vehicle context information, the control device first obtains data (vehicle state information and environment information) stored in the database, then caches the obtained data in a first-in first-out queue manner to obtain a cache queue, and finally, the control device forms the vehicle context information according to the data in the cache queue when determining the operation identifier of the vehicle.

In one implementation, the length of the buffer queue is a preset value, so that as new data is continuously stored in the buffer queue, old data in the buffer queue is discarded in a first-in first-out manner, and then the buffer queue can only store data acquired in a recent time period. Correspondingly, in this embodiment, the obtaining of the vehicle context information in the buffer queue means obtaining the vehicle context information by obtaining data in any period of time near a time point (that is, a time point at which the trigger information is detected) at which the abnormality occurs in the buffer queue.

In one implementation, the different information for which the vehicle context information is composed may be derived from the same time period or point in time, or from different time periods or points in time.

For example, the vehicle context information may be vehicle speed information in { vehicle speed information, in-vehicle temperature information, window state information, position information, steering information, acceleration information, obstacle distance information, image information, and audio information } that is the vehicle speed of the vehicle at a time after the time point at which the trigger information is detected, window state information that is the window state of the vehicle at the time point at which the trigger information is detected, and image information that is the image information at the time point at which the trigger information is detected and a time after the trigger information is detected.

203: and the control equipment performs data analysis on the state information and the environment information included in the vehicle context information to obtain the abnormal grade of the vehicle.

In the embodiment of the application, after the vehicle context information is obtained, data analysis is performed on the vehicle context information to obtain the abnormal grade of the vehicle. The abnormal level may be description information of an emergency degree (for example, "fatal", "serious", "general", or "first stage", "second stage", "third stage", "fourth stage", or the like), or may be description information of a processing mode (for example, "emergency escape mode", "needs for road rescue", "can be restored under guidance", "needs for repair", or the like), and the specific expression form of the abnormal level is not limited in the present application.

In one implementation, the abnormality description information of the vehicle is obtained according to the analysis of the context information of the vehicle, and then the abnormality level of the vehicle is determined according to the mapping relation between the abnormality description information and the abnormality level. The analysis of the vehicle context information to obtain the vehicle abnormality description information refers to the analysis of the meaning represented by each item of information in the vehicle context information, so as to determine the abnormal condition of the vehicle and obtain the vehicle abnormality description information. The abnormality description information may be a text description information (for example, "only children without behavior ability in the car and the children cry") or a level description information (for example, "poor" or "fifth level"). The present application does not limit the specific expression of the anomaly description information.

For example, the analyzing the state information and the environment information included in the vehicle context information to obtain the abnormal level of the vehicle may be performed by analyzing each item of data in the vehicle context information after generating the vehicle context information { vehicle speed information, temperature information, window state information, image information, and audio information } of the vehicle, for example, analyzing the vehicle speed information to determine whether the vehicle speed is zero; analyzing the temperature information in the vehicle, and judging whether the temperature in the vehicle exceeds the comfort level of a human body; analyzing the vehicle window state information and judging whether the vehicle window is opened or not; analyzing the image information, and judging whether adults, children and/or pets exist; and analyzing the audio information to judge whether the child cries. After the meaning represented by each item of information in the vehicle context information is obtained through analysis, the meaning represented by each item of information is integrated, so that the abnormal description information of the vehicle is obtained as 'poor' or 'only children without behavioural ability in the vehicle and the children cry and scream', and then the abnormal level 'fatal' associated with the abnormal description information 'poor' or 'only children without behavioural ability in the vehicle and the children cry and scream' is acquired in the relation mapping table between the abnormal description information and the abnormal level shown in the following table 3. It should be noted that the above method for analyzing the vehicle context information is only an example, and the present application is not limited thereto.

TABLE 3

In one implementation, the same anomaly description information may correspond to different anomaly levels for different run identifiers. Specifically, after the abnormality description information of the vehicle is determined, an abnormality level division rule set corresponding to the detected operation identifier is obtained, the abnormality level division rule set is a mapping table between the abnormality description information and the abnormality level under the detected operation identifier, different operation identifiers correspond to different abnormality level division rule sets, and then the abnormality level corresponding to the abnormality description information of the vehicle is obtained in the abnormality level division rule set corresponding to the detected operation identifier as the abnormality level of the vehicle.

204: the control device performs processing according to an abnormality processing rule associated with the above-described abnormality level.

In the embodiment of the application, after determining the abnormality level of the vehicle, the control device acquires the abnormality processing rule corresponding to the abnormality level of the vehicle according to the mapping relation between the abnormality level and the abnormality processing rule, different abnormality levels are associated with different abnormality processing rules, the abnormality processing rule is used for indicating a method for solving the abnormality of the vehicle,

for example, after the abnormal level of the vehicle is determined to be "fatal", an abnormal processing rule "playing music or recording for relieving emotion" corresponding to the operation identifier 0x0B02 of the vehicle is acquired, meanwhile, the vehicle owner is notified of the in-vehicle situation or the vehicle lamp is automatically controlled to flash to remind people outside the vehicle to pay attention ", and processing is performed according to the abnormal processing rule, namely, the audio for relieving emotion is played through components such as an audio player of the vehicle and the like, and prompt information is sent to preset associated equipment through a communication module of the vehicle to prompt the in-vehicle situation of the vehicle or prompt passersby the vehicle lamp. It should be noted that the present application does not limit the specific exception handling rules.

In one embodiment, the exception handling rules are divided into two categories, namely an automatic handling category and a manual handling category, the exception handling rules in the automatic handling category are executed by the control device controlling the vehicle component, namely the control device performing the exception recovery processing on the vehicle according to the exception handling rules, and the exception handling rules in the manual handling category are executed by the user, namely the control device giving a prompt to prompt the user to handle the vehicle according to the exception handling rules. Specifically, after the abnormality processing rule associated with the failure level is specified, the processing type indicated by the abnormality processing rule associated with the failure level is specified, and when the indicated processing type is the manual processing type, a prompt message for instructing the user to process the vehicle in accordance with the abnormality processing rule, for example, a prompt for prompting the user to open a window of the vehicle is output in accordance with the abnormality processing rule. In another case, when the instructed processing type is the automatic processing type, the abnormality recovery processing is performed on the vehicle according to an abnormality processing rule, for example, the control device controls the window opening of the vehicle. In the case of the exception handling rule, the processing class indicated by a part of the contents is a manual processing class, and the processing class indicated by the remaining part of the contents is an automatic processing class, and therefore, when processing is performed according to the exception handling rule, the processing is performed manually according to the contents indicated as the manual processing class in the exception handling rule, and automatically according to the contents indicated as the automatic processing class in the exception handling rule.

For example, after obtaining an abnormal processing rule "playing music or recording for relieving emotion" corresponding to an abnormal level "difference" of the vehicle, and simultaneously notifying a vehicle owner of the situation in the vehicle or automatically controlling the vehicle lamp to flash to remind a person outside the vehicle, "determining that a processing category indicated by part of contents" playing music or recording for relieving emotion "in the abnormal processing rule is an automatic processing category, then the control device controls components such as an audio player of the vehicle to play audio for relieving emotion, and determines that a processing category indicated by the rest of contents" notifying the vehicle owner of the situation in the vehicle or automatically controlling the vehicle lamp to flash to remind the person outside the vehicle "is a manual processing category, then the control device sends prompting information" vehicle abnormal, the vehicle door cannot be opened and only crying and screaming children "in the vehicle to a preset associated device through a communication module of the vehicle to prompt the situation in the vehicle, or the vehicle lamp flickers to prompt the attention of passers-by. The exception handling rules listed above are only examples, and should not be construed as limiting the present application.

In one implementation, after the abnormality level of the vehicle is determined, the abnormality processing rule set corresponding to the operation identifier is acquired, then the abnormality processing rule set corresponding to the abnormality level of the vehicle is acquired, and finally processing is performed according to the abnormality processing rule set associated with the abnormality level of the vehicle, wherein different abnormality processing rule sets corresponding to different operation identifiers are associated with different abnormality processing rules in different abnormality rule processing sets.

For example, after the abnormality level of the vehicle is determined to be "fatal", the abnormality processing rule set corresponding to the operation identifier 0x0B02 of the vehicle is acquired, and then the abnormality processing rule set corresponding to the abnormality level "fatal" of the vehicle is acquired to play music or a recording for relieving emotion, and simultaneously, the vehicle owner is notified of the in-vehicle situation or the vehicle lamp is automatically controlled to flash to remind people outside the vehicle.

According to the method and the device, the running state of the vehicle is detected, the running identification of the vehicle is determined, the vehicle context information associated with the running identification of the vehicle is obtained, the vehicle context information is analyzed, the abnormal grade used for indicating the abnormal severity of the vehicle is determined, and finally the vehicle is processed according to the abnormal processing rule corresponding to the abnormal grade of the vehicle. Firstly, as long as the vehicle is in a preset running state, the method can start the processes of abnormality detection, analysis, processing and the like of the vehicle, and compared with the method that the vehicle is subjected to abnormality detection, analysis and processing only when the vehicle has obvious faults, the method can process various types of vehicle abnormalities, and more comprehensively guarantees the safety of the vehicle. Secondly, the abnormal severity of the vehicle can be comprehensively analyzed through the acquired state information and the environmental information of the vehicle, so that the abnormal grade for representing the abnormal severity of the vehicle is obtained, the abnormal severity of the vehicle is accurately detected and divided, the abnormal grade not only reflects the severity of the abnormality, but also reflects the influence of the environment inside and outside the vehicle on the abnormal severity of the vehicle. Finally, different abnormality processing rules are adopted to process the vehicle in a personalized mode according to the abnormality grades, and therefore the vehicle abnormality processing efficiency is improved. Therefore, the embodiment of the application provides a quick, accurate and efficient vehicle abnormity processing method.

Referring to fig. 3, a schematic flowchart of a vehicle abnormality processing system according to another embodiment of the present application is provided. Different from the embodiment shown in fig. 2, the embodiment is completed by the control device and the cloud server together, and the vehicle abnormality processing method shown in fig. 3 may include:

s301: the control equipment detects the running state of the vehicle and determines the running identifier of the vehicle.

S302: the control device acquires the vehicle context information associated with the operation identifier.

In the embodiment of the application, after the control device determines the operation identifier of the vehicle, the control device obtains vehicle context information associated with the operation identifier of the vehicle according to a mapping relationship between the operation identifier and the vehicle context information, where the vehicle context information includes state information and environment information of the vehicle, the state information is used for indicating an operating state of a target component (the target component may be a certain component of the vehicle or may be the whole vehicle) in the vehicle, and the environment information is used for indicating environment information associated with the vehicle, and includes environment information in the vehicle and environment information outside the vehicle. The state information and the environment information of the vehicle are acquired from a database set for the vehicle, and the data corresponding to the state information and the environment information recorded in the database can be data acquired by a sensor on the vehicle or acquired through a network, specifically, the state information of the vehicle is data acquired by a sensor of the vehicle, such as door state information acquired by an infrared sensor, window state information acquired by an infrared sensor, vehicle position information acquired by a positioning system, steering information acquired by a gyroscope, acceleration information acquired by an accelerometer, vehicle speed information calculated by the steering information and the acceleration information, and the like; the in-vehicle environment information is data acquired by a sensor of the vehicle, such as in-vehicle temperature information acquired by a temperature sensor, image information shot by an in-vehicle camera, audio information acquired by a microphone, and the like; the vehicle exterior environment information comprises data collected by a sensor of a vehicle and at least one of the data obtained through network acquisition, wherein when the vehicle exterior environment information is the data collected by the sensor of the vehicle, the vehicle exterior environment information comprises, for example, obstacle distance information between the vehicle and an obstacle collected by an infrared sensor, impact information collected by a vehicle body pressure sensor, image information shot by a vehicle exterior camera and the like, when the vehicle exterior environment information is the data obtained through network acquisition, the vehicle exterior environment information comprises, for example, environment terrain information obtained through network, distance information obtained through network and the nearest maintenance station, traffic conditions obtained through network and the like.

In one implementation, when acquiring the vehicle context information associated with the operation identifier, the control device acquires state information associated with the identifier information, acquires environment information associated with the state information, associates different environment information according to different association information, and finally combines the acquired state information and the environment information to obtain the vehicle context information.

In one implementation, when obtaining the vehicle context information associated with the operation identifier, the control device first obtains monitoring item indication information configured for the operation identifier, then obtains the state information and the environment information of the vehicle according to the name of the state information and the environment information that need to be collected, which are indicated in the monitoring item indication information (or obtains the state information of the vehicle according to the name of the state information that needs to be collected, which is indicated in the monitoring item indication information, and obtains the environment information associated with the state information), and finally generates the vehicle context information according to the format of the vehicle context information, which is indicated in the monitoring item indication information, and the obtained state information and the obtained environment information of the vehicle.

S303: the control device sends the vehicle context information of the vehicle to the cloud server.

In the embodiment of the application, after the control device acquires the vehicle context information of the vehicle, the control device sends the vehicle context information to the cloud server.

S304: and after receiving the vehicle context information sent by the control equipment, the cloud server performs data analysis on the state information and the environment information included in the vehicle context information to obtain the abnormal grade of the vehicle.

In the embodiment of the application, the cloud server performs data analysis on the vehicle context information after obtaining the vehicle context information, so as to obtain the abnormal grade of the vehicle. The abnormal level may be description information of an emergency degree (for example, "fatal", "serious", "general", or "first stage", "second stage", "third stage", "fourth stage", or the like), or may be description information of a processing mode (for example, "emergency escape mode", "needs for road rescue", "can be restored under guidance", "needs for repair", or the like), and the specific expression form of the abnormal level is not limited in the present application.

In one implementation, the cloud server analyzes the vehicle context information to obtain the abnormal description information of the vehicle, and then determines the abnormal grade of the vehicle according to the mapping relation between the abnormal description information and the abnormal grade. The analysis of the vehicle context information to obtain the vehicle abnormality description information refers to the analysis of the meaning represented by each item of information in the vehicle context information, so as to determine the abnormal condition of the vehicle and obtain the vehicle abnormality description information. The abnormality description information may be a text description information (for example, "only children without behavior ability in the car and the children cry") or a level description information (for example, "poor" or "fifth level"). The present application does not limit the specific expression of the anomaly description information.

For example, the analyzing the state information and the environment information included in the vehicle context information to obtain the abnormal level of the vehicle may be performed by analyzing each item of data in the vehicle context information after generating the vehicle context information { vehicle speed information, temperature information, window state information, image information, and audio information } of the vehicle, for example, analyzing the vehicle speed information to determine whether the vehicle speed is zero; analyzing the temperature information in the vehicle, and judging whether the temperature in the vehicle exceeds the comfort level of a human body; analyzing the vehicle window state information and judging whether the vehicle window is opened or not; analyzing the image information, and judging whether adults, children and/or pets exist; and analyzing the audio information to judge whether the child cries. After the meaning represented by each item of information in the vehicle context information is analyzed and obtained, the meaning represented by each item of information is integrated, so that the abnormal description information of the vehicle is obtained to be 'poor' or 'only children without behavior ability in the vehicle and the children cry and scream', and then the abnormal level 'fatal' associated with the abnormal description information 'poor' or 'only children without behavior ability in the vehicle and the children cry and scream' is obtained in a relation mapping table between the abnormal description information and the abnormal level. It should be noted that the above method for analyzing the vehicle context information is only an example, and the present application is not limited thereto.

S305: and the cloud server sends the abnormal grade of the vehicle to the control equipment.

In the embodiment of the application, the cloud server sends the abnormal grade to the control device after analyzing the abnormal grade of the vehicle.

S306: and after receiving the abnormal grade of the vehicle sent by the cloud server, the control equipment processes the abnormal grade according to an abnormal processing rule associated with the abnormal grade.

In the embodiment of the application, after determining the abnormality level of the vehicle, the control device acquires the abnormality processing rule corresponding to the abnormality level of the vehicle according to the mapping relation between the abnormality level and the abnormality processing rule, wherein different abnormality levels are associated with different abnormality processing rules, and the abnormality processing rules are used for indicating a method for solving the abnormality of the vehicle.

In one implementation, after determining the abnormality level of the vehicle, the control device first acquires an abnormality processing rule set corresponding to the operation identifier, then acquires an abnormality processing rule corresponding to the abnormality level of the vehicle from the abnormality processing rule set, and finally performs processing according to the abnormality processing rule associated with the abnormality level of the vehicle, wherein different abnormality processing rule sets corresponding to different operation identifiers have different abnormality processing rules associated with different abnormality levels in the different abnormality processing rule sets.

Therefore, the process of carrying out the abnormal analysis on the vehicle context information is realized by the cloud server with the powerful computing function, so that the efficiency of the abnormal analysis can be improved, and the computing resources of the control equipment can be saved. Therefore, compared with the embodiment independently completed by the control device, the embodiment of the application completes the scheme by adopting the cloud server and the control device together, and provides the vehicle abnormity processing method with higher efficiency.

It should be noted that the above description of the various embodiments is intended to emphasize the differences between the various embodiments, and the same or similar parts may be referred to each other, and therefore, for brevity, the description is not repeated herein.

Referring to fig. 4, which is a schematic flowchart of a vehicle abnormality processing method according to another embodiment of the present application, where the present embodiment is a detailed description of the embodiment corresponding to fig. 2, and the vehicle abnormality processing method shown in fig. 4 may include:

401: the control equipment detects the running state of the vehicle and determines the running identifier of the vehicle.

402: and the control equipment acquires the monitoring item indication information configured for the operation identifier.

In the embodiment of the application, since the database of the vehicle stores the relational mapping table between the operation identifier and the monitoring item indication information, after the operation identifier of the vehicle is determined, the control device may determine the monitoring item indication information according to the relational mapping table between the operation identifier and the monitoring item indication information stored in the database of the vehicle. The monitoring item indicating information is used for indicating state information and environment information of the vehicle, which need to be acquired under the operation identification of the vehicle, the state information is used for indicating the working state of a target component in the vehicle (the target component can be a certain component of the vehicle, and can also be the whole vehicle), and the environment information is used for indicating environment information related to the vehicle, and the environment information comprises environment information inside the vehicle and environment information outside the vehicle. The state information and the environment information of the vehicle are acquired from a database set for the vehicle, and the data corresponding to the state information and the environment information recorded in the database can be data acquired by a sensor on the vehicle or acquired through a network, specifically, the state information of the vehicle is data acquired by a sensor of the vehicle, such as door state information acquired by an infrared sensor, window state information acquired by an infrared sensor, vehicle position information acquired by a positioning system, steering information acquired by a gyroscope, acceleration information acquired by an accelerometer, vehicle speed information calculated by the steering information and the acceleration information, and the like; the in-vehicle environment information is data acquired by a sensor of the vehicle, such as in-vehicle temperature information acquired by a temperature sensor, image information shot by an in-vehicle camera, audio information acquired by a microphone, and the like; the vehicle exterior environment information comprises data collected by a sensor of a vehicle and at least one of the data obtained through network acquisition, wherein when the vehicle exterior environment information is the data collected by the sensor of the vehicle, the vehicle exterior environment information comprises, for example, obstacle distance information between the vehicle and an obstacle collected by an infrared sensor, impact information collected by a vehicle body pressure sensor, image information shot by a vehicle exterior camera and the like, when the vehicle exterior environment information is the data obtained through network acquisition, the vehicle exterior environment information comprises, for example, environment terrain information obtained through network, distance information obtained through network and the nearest maintenance station, traffic conditions obtained through network and the like.

403: and the control equipment acquires the state information and the environmental information of the vehicle in a database of the vehicle according to the monitoring item indication information.

In the embodiment of the present application, since the monitoring item indication information indicates the name of the data that needs to be collected by the control device of the local terminal, the state information and the environmental information of the vehicle are obtained in the database of the vehicle according to the monitoring item indication information.

For example, assuming that the trigger information is the fault code 0X0B02, the operation identifier of the vehicle is also 0X0B02, and then the monitoring item indication information "vehicle speed information, in-vehicle temperature information, window state information, image information, and audio information" configured with 0X0B02 is obtained, and then the state information and the environment information of the vehicle, that is, the vehicle speed information, in-vehicle temperature information, window state information, image information, and audio information, are collected according to the name of the data to be collected included in the monitoring item indication information.

In one implementation, when obtaining the vehicle context information associated with the operation identifier, first obtain monitoring item indication information configured for the operation identifier, then obtain the vehicle state information according to a name of state information required to be collected, which is indicated in the monitoring item indication information, and obtain environment information associated with the state information, and finally generate the vehicle context information according to a format of the vehicle context information indicated in the monitoring item indication information, and the obtained vehicle state information and the obtained environment information.

For example, assuming that the trigger information is the fault code 0X0B02, the operation identifier of the vehicle is also 0X0B02, then the monitoring item indication information "vehicle speed information, window state information" configured with the identifier information 0X0B02 is obtained, the monitoring item indication information indicates the name of the state information to be collected and the format of the vehicle context information (such as the arrangement sequence of the data to be collected in the vehicle context information, etc.), then according to the monitoring item indication information, the environment information associated with the state information is obtained, the different state information is associated with different environment information, for example, in the first case, if the vehicle speed information in the state information indicates that the vehicle is running, and the window state information in the state information indicates that the window of the vehicle is closed, the environment information associated with the state information includes the in-vehicle temperature information, the image information and the temperature information, then, vehicle context information { vehicle speed information, in-vehicle temperature information, window state information, image information and audio information } is obtained according to the state information and the environment information; in the second case, if the vehicle speed information in the state information indicates that the vehicle is running and the window state information in the state information indicates that the window of the vehicle is open, the environment information associated with the state information includes image information and audio information, and then the vehicle context information { vehicle speed information, window state information, image information, audio information } is obtained from the combination of the state information and the environment information. In addition, the environmental information corresponding to the state information is not listed in the third case (the vehicle speed information in the state information indicates that the vehicle is stationary, and the window state information in the state information indicates that the window is closed), and in the fourth case (the vehicle speed information in the state information indicates that the vehicle is stationary, and the window state information in the state information indicates that the window is opened).

404: and the control equipment generates vehicle context information according to the acquired state information and environment information of the vehicle.

In the embodiment of the present application, the monitoring item indication information indicates not only the name of the data that needs to be acquired but also the format of the vehicle context information, and then the control device, after acquiring the state information and the environment information of the vehicle, combines the acquired state information and the environment information of the vehicle according to the format of the vehicle context information indicated by the monitoring item indication information to generate the vehicle context information. The combination mode may be to combine the state information and the environment information into an array, etc. according to the order of the names of the data included in the monitoring item indication information.

For example, it is assumed that vehicle speed information, in-vehicle temperature information, window state information, image information, and audio information of the vehicle are collected according to the monitoring item indication information, and the collected data are combined together according to the sequence of names of data included in the monitoring item indication information to obtain vehicle context information { vehicle speed information, in-vehicle temperature information, window state information, image information, and audio information }.

It should be noted that, unlike the component trigger information, the state information and the environment information in the vehicle context information are only used to indicate that an abnormality, such as a fault code, occurs in the vehicle, and the state information and the environment information in the vehicle context information are specific data, such as a data stream generated by a vehicle component collected by a sensor. For example, the vehicle speed information, the in-vehicle temperature information, the window state information, the image information, and the audio information in the vehicle context information are represented by specific values, and the values of the specific values represent the magnitude of the vehicle speed, the magnitude of the in-vehicle temperature, the closing or opening of the window, the presence or absence of an adult and the presence or absence of a child in the vehicle (for example, 00 represents the absence or absence of an adult, 01 represents the absence or presence of an adult, 10 represents the presence or absence of a child, and 11 represents the presence or absence of an adult), and whether or not there is a cry-call sound in the vehicle (for example, 1 represents the presence, and 0 represents the.

It should be noted that the vehicle context information is obtained from a database of the vehicle, and the data in the vehicle database is obtained from sensors configured in the vehicle. More specifically, before acquiring the vehicle context information, the control device acquires data stored in a database, the data being acquired by a sensor on the vehicle, the data including but not limited to various data including state information and environmental information of the vehicle, then caches the acquired data in a first-in first-out queue manner to obtain a cache queue, and finally forms the vehicle context information according to the data in the cache queue when determining the operation identifier of the vehicle.

405: the control device analyzes and obtains the abnormal description information of the vehicle according to the state information and the environment information included in the vehicle context information.

In the embodiment of the application, the abnormal description information of the vehicle is obtained according to the analysis of the vehicle context information, namely the size of each item of data in the vehicle context information is judged, so that the abnormal condition of the vehicle is determined, and the abnormal description information of the vehicle is obtained.

It should be noted that the abnormality description information may be a text description information (for example, "only children without behavioral ability in the car and the children cry") or a level description information (for example, "poor" or "fifth level"). The present application does not limit the specific expression of the anomaly description information.

For example, after generating the vehicle context information { vehicle speed information, temperature information, window state information, image information, audio information } of the vehicle, each item of data in the vehicle context information is analyzed, for example, the vehicle speed information is analyzed to determine whether the vehicle speed is zero; analyzing the temperature information, and judging whether the temperature in the vehicle exceeds the comfort level of the human body; analyzing the vehicle window state information and judging whether the vehicle window is opened or not; analyzing the image information, and judging whether adults, children and/or pets exist; and analyzing the audio information to judge whether the child cries. After the meaning represented by each item of information in the vehicle context information is analyzed and obtained, the meaning represented by each item of information is integrated, and the abnormal description information of the vehicle is obtained to be ' poor ' or ' only children without behavior ability in the vehicle and cry. It should be noted that the above method for analyzing the vehicle context information is only an example, and the present application is not limited thereto.

406: the control apparatus determines an abnormality level of the vehicle based on a mapping relationship between the abnormality specification information and the abnormality level.

In the embodiment of the application, according to the mapping relation between the abnormality description information and the abnormality level, the abnormality level of the vehicle corresponding to the abnormality description information of the vehicle can be determined.

It should be noted that the abnormality level may be emergency degree description information (for example, "fatal", "serious", "general", or "first level", "second level", "third level", "fourth level", etc.), or may be processing mode description information (for example, "emergency escape mode", "need for road rescue", "can be recovered under guidance", "need for repair", etc.). The present application is not limited to the specific expression of the abnormality level.

For example, the control apparatus acquires, after determining the abnormality description information of the vehicle, the abnormality level "fatal" associated with the abnormality description information "bad" or "only a child without a capability to act in the vehicle and the child crying and screaming" in the map of relationships between the abnormality description information and the abnormality levels.

In one implementation, the same anomaly description information may correspond to different anomaly levels for different run identifiers. Specifically, after determining the abnormality description information of the vehicle, an abnormality level division rule set corresponding to the detected operation identifier is obtained, the abnormality level division rule set being a mapping table between the abnormality description information and the abnormality level under the detected operation identifier, and then the abnormality level corresponding to the abnormality description information of the vehicle is obtained as the abnormality level of the vehicle in the abnormality level division rule set corresponding to the detected operation identifier.

407: and the control equipment acquires an exception handling rule set corresponding to the operation identifier.

In the embodiment of the application, different operation identifiers correspond to different exception handling rule sets, each exception handling rule set comprises at least one exception handling rule, and each exception handling rule is used for indicating a method for performing exception handling on a vehicle, wherein the exception handling rules are divided into two types, namely an automatic handling type and a manual handling type, the automatic handling type is finished by controlling a vehicle component by control equipment, and the manual handling type is prompted by the control equipment to prompt manual maintenance.

For example, after determining that the abnormality level of the vehicle is "fatal", the abnormality handling rule set corresponding to the operation identifier 0x0B02 of the vehicle is acquired, the fault set comprises a first abnormal processing rule ' no operation ' or ' informing a car owner to send a car to a maintenance station ' corresponding to abnormal grades ' general ', ' serious ' and ' fatal ', a second abnormal processing rule ' controls a loudspeaker equipped with a car-mounted entertainment system or an abnormal analysis module to automatically play a car door control system reset operation instruction or a manual escape instruction to assist people in the car to safely leave the car ', a third abnormal processing rule ' controls a loudspeaker equipped with the car-mounted entertainment system or the abnormal analysis module to automatically play music or record for relieving emotion, meanwhile, the communication function is automatically started to inform the car owner of the situation in the car or automatically control the car lamp to flicker to remind people outside the car to pay attention.

408: and the control equipment acquires the exception handling rule corresponding to the exception level from the exception handling rule set.

In the embodiment of the present application, an exception handling rule corresponding to an exception level is obtained from the obtained exception handling rule set, where different exception levels are associated with different exception handling rules.

For example, after the abnormality level of the vehicle is determined to be "fatal", the abnormality processing rule set corresponding to the operation identifier 0x0B02 of the vehicle is acquired, and then the abnormality processing rule set corresponding to the abnormality level "fatal" is acquired to play music or a recording for relieving emotion, and simultaneously, the vehicle owner is notified of the in-vehicle situation or the vehicle lamp is automatically controlled to flash to remind people outside the vehicle.

409: and determining the processing type indicated by the exception processing rule associated with the exception grade.

In the embodiment of the present application, the processing category indicated by the exception handling rule is analyzed to determine whether to execute the exception handling rule in a manner manually executed by a user or automatically executed by the control apparatus. Specifically, in one case, when the analysis indicates that the processing type indicated by the exception handling rule is the manual processing type, it is known that the exception handling rule is executed in a manner manually executed by the user. In another case, when the processing type of the abnormal processing rule obtained by the analysis is the automatic processing type, it is known that the abnormal processing rule is executed in a manner automatically executed by the control device. In another case, the processing category indicated by a part of the contents in the exception handling rule is a manual processing category, and the processing category indicated by the remaining part of the contents is an automatic processing category.

For example, after obtaining an exception handling rule "playing music or recording for relieving emotion" corresponding to an exception level "difference" of the vehicle, and simultaneously notifying the vehicle owner of the in-vehicle situation or automatically controlling the vehicle lamp to flash to remind the outside of the vehicle of attention ", the processing category indicated by" playing music or recording for relieving emotion "in part of the content in the exception handling rule is analyzed to be an automatic processing category, and the processing category indicated by" notifying the vehicle owner of the in-vehicle situation or automatically controlling the vehicle lamp to flash to remind the outside of the vehicle of attention "in part of the content in the exception handling rule is analyzed to be a manual processing category. The exception handling rules listed above are only examples, and should not be construed as limiting the present application.

410: when the instructed processing type is the manual processing type, a prompt message for instructing the user to process the vehicle in accordance with the abnormality processing rule is output in accordance with the abnormality processing rule.

In the embodiment of the present application, if the processing type indicated by the abnormality processing rule is a manual processing type, a prompt message is output according to the abnormality processing rule to prompt the user to process the vehicle according to the abnormality processing rule, for example, to prompt the user to open a window of the vehicle.

For example, after obtaining the abnormal handling rule "corresponding to the abnormal level" difference "of the vehicle, playing music or a recording for relieving emotion, and simultaneously notifying the vehicle owner of the situation in the vehicle or automatically controlling the vehicle lamp to flash to remind people outside the vehicle to pay attention", it is determined that the handling category indicated by the partial content "notifying the vehicle owner of the situation in the vehicle or automatically controlling the vehicle lamp to flash to remind people outside the vehicle" obtained in the abnormal handling rule is the manual handling category, so that the control device sends a prompting message "vehicle abnormal, the vehicle door cannot be opened and only a crying child in the vehicle" to prompt the situation in the vehicle owner of the vehicle through the communication module of the vehicle, or prompts the attention of passersby flashing the vehicle lamp. The exception handling rules listed above are only examples, and should not be construed as limiting the present application.

411: when the instructed processing type is the automatic processing type, the vehicle is subjected to the abnormality recovery processing according to the abnormality processing rule.

In the embodiment of the present application, if the processing type indicated by the abnormality processing rule is an automatic processing type, the control device performs abnormality recovery on the vehicle directly according to the abnormality processing rule, for example, the control device controls window opening of the vehicle.

For example, after acquiring an exception handling rule "playing music or recording for relieving emotion" corresponding to an exception level "difference" of the vehicle, and simultaneously notifying the vehicle owner of the situation in the vehicle or automatically controlling the vehicle lamp to flash to remind people outside the vehicle, "it is determined that a processing category indicated by" playing music or recording for relieving emotion "in part of the exception handling rule is an automatic processing category, and then the control device controls components such as an audio player of the vehicle to play audio for relieving emotion. The exception handling rules listed above are only examples, and should not be construed as limiting the present application.

In one implementation, if the processing type indicated by some contents in the exception handling rule is a manual processing type and the processing type indicated by another part of contents in the exception handling rule is an automatic processing type, when processing is performed according to the exception handling rule, the processing is performed manually according to the contents indicated as the manual processing type in the exception handling rule and automatically according to the contents indicated as the automatic processing type in the exception handling rule.

Compared with the previous application embodiment, the embodiment of the application describes the process of the vehicle abnormity processing method in more detail, firstly detects the fault of the vehicle to determine the operation identification of the vehicle, then, acquiring the monitoring item indication information configured for the running identifier, and according to the monitoring item indication information, acquiring the state information of the vehicle and the environmental information in a data block of the vehicle, thereby generating vehicle context information containing the state information of the vehicle and the environmental information, and analyzing the vehicle context information to obtain the abnormal description information of the vehicle, acquiring the abnormal grade corresponding to the abnormal description information as the abnormal grade of the vehicle, finally acquiring the abnormal processing rule set corresponding to the running identifier of the vehicle, acquiring the abnormal processing rule corresponding to the abnormal grade of the vehicle from the abnormal processing rule set, and processing the vehicle abnormality according to the abnormal processing rule corresponding to the abnormal grade. Therefore, the vehicle abnormity processing method can rapidly find, analyze and process the vehicle abnormity, and is efficient, accurate and rapid.

The embodiment of the application also provides a vehicle abnormity processing device which is used for executing the unit of any one of the vehicle abnormity processing methods corresponding to the methods in the figures 2 and 4. Specifically, referring to fig. 5, a schematic block diagram of a vehicle abnormality processing device according to an embodiment of the present application is provided. The vehicle abnormality processing device of the embodiment includes: a detection unit 510, an acquisition unit 520, an analysis unit 530, and a processing unit 540. Specifically, the method comprises the following steps:

a detecting unit 510, configured to detect an operating state of a vehicle and determine an operating identifier of the vehicle;

an obtaining unit 520, configured to obtain vehicle context information associated with the operation identifier, where the vehicle context information includes: state information indicating an operating state of a target component in the vehicle and environmental information associated with the vehicle;

an analyzing unit 530, configured to perform data analysis on the state information and the environment information included in the vehicle context information to obtain an abnormal level of the vehicle;

the processing unit 540 is configured to perform processing according to the exception handling rule associated with the exception level, where different exception handling rules are associated with different exception levels.

In an implementation, the obtaining unit 520 is specifically configured to obtain monitoring item indication information configured for the operation identifier; and searching the state information and the environmental information of the vehicle according to the monitoring item indication information to obtain the vehicle context information.

In one implementation, the obtaining unit 520 is specifically configured to obtain status information associated with the identification information; acquiring environment information associated with the state information; and combining the state information and the environment information to obtain the vehicle context information.

In an implementation, the obtaining unit 520 is specifically configured to obtain monitoring item indication information configured for the operation identifier; searching the state information of the vehicle according to the monitoring item indication information; acquiring environment information associated with the state information; and combining the state information and the environment information to obtain the vehicle context information.

In one implementation, the analyzing unit 530 is specifically configured to analyze the vehicle context information to obtain the abnormality description information of the vehicle; and determining the abnormality level of the vehicle according to the mapping relation between the abnormality description information and the abnormality level.

In an implementation, the obtaining unit 520 is further configured to obtain an exception handling rule set corresponding to the running identifier; and acquiring the exception handling rule corresponding to the exception level in the exception handling rule set.

In one implementation, the processing unit 540 is specifically configured to determine a processing type indicated by an exception handling rule associated with the exception level; outputting prompt information for instructing a user to process the vehicle according to the abnormality processing rule when the instructed processing type is a manual processing type; and performing an abnormality recovery process on the vehicle according to the abnormality processing rule when the instructed process type is an automatic process type.

In one embodiment, the vehicle context information is generated according to state information and environment information obtained from a database provided for the vehicle, and the data corresponding to the state information and the environment information recorded in the database includes: and at least one of data acquired by a sensor arranged on the vehicle and data acquired through a network.

According to the embodiment of the application, the running state of the vehicle is detected by the detection unit, the running identifier of the vehicle is determined, then the vehicle context information associated with the running identifier of the vehicle by the acquisition unit is analyzed by the analysis unit, so that the abnormal level used for indicating the abnormal severity of the vehicle is determined, and finally the vehicle is processed by the processing unit according to the abnormal processing rule corresponding to the abnormal level of the vehicle. Firstly, as long as the vehicle is in a preset running state, the method can start the processes of abnormality detection, analysis, processing and the like of the vehicle, and compared with the method that the vehicle is subjected to abnormality detection, analysis and processing only when the vehicle has obvious faults, the method can process various types of vehicle abnormalities, and more comprehensively guarantees the safety of the vehicle. Secondly, the abnormal severity of the vehicle can be comprehensively analyzed through the acquired state information and the environmental information of the vehicle, so that the abnormal grade for representing the abnormal severity of the vehicle is obtained, the abnormal severity of the vehicle is accurately detected and divided, the abnormal grade not only reflects the severity of the abnormality, but also reflects the influence of the environment inside and outside the vehicle on the abnormal severity of the vehicle. Finally, different abnormality processing rules are adopted to process the vehicle in a personalized mode according to the abnormality grades, and therefore the vehicle abnormality processing efficiency is improved. Therefore, the embodiment of the application provides a quick, accurate and efficient vehicle abnormity processing method.

Referring to fig. 6, a schematic block diagram of a control device according to another embodiment of the present application is shown. The control device in the present embodiment as shown in the figure may include: a processor 610 and a memory 620. The processor 610 and the memory 620 are connected by a bus 630. Specifically, the method comprises the following steps:

a processor 610, configured to execute the function of the detection unit 510, configured to detect an operation state of a vehicle and determine an operation identifier of the vehicle; and is further configured to execute the function of the obtaining unit 520, configured to obtain vehicle context information associated with the operation identifier, where the vehicle context information includes: state information indicating an operating state of a target component in the vehicle and environmental information associated with the vehicle; and is further configured to perform a function of the analysis unit 530, which is configured to perform data analysis on the state information and the environment information included in the vehicle context information to obtain an abnormal level of the vehicle; and the system is also used for processing according to the exception handling rules associated with the exception levels, wherein different exception handling rules are associated with different exception levels.

In one implementation, the processor 610 is specifically configured to obtain monitoring item indication information configured for the operation identifier; and searching the state information and the environmental information of the vehicle according to the monitoring item indication information to obtain the vehicle context information.

In one implementation, the processor 610 is specifically configured to obtain status information associated with the identification information; acquiring environment information associated with the state information; and combining the state information and the environment information to obtain the vehicle context information.

In one implementation, the processor 610 is specifically configured to obtain monitoring item indication information configured for the operation identifier; searching the state information of the vehicle according to the monitoring item indication information; acquiring environment information associated with the state information; and combining the state information and the environment information to obtain the vehicle context information.

In one implementation, the processor 610 is specifically configured to obtain the abnormality description information of the vehicle according to the analysis of the vehicle context information; and determining the abnormality level of the vehicle according to the mapping relation between the abnormality description information and the abnormality level.

In one implementation, the processor 610 is further configured to obtain an exception handling rule set corresponding to the operation identifier; and acquiring the exception handling rule corresponding to the exception level in the exception handling rule set.

In one implementation, the processor 610 is specifically configured to determine a processing type indicated by an exception handling rule associated with the exception level; outputting prompt information for instructing a user to process the vehicle according to the abnormality processing rule when the instructed processing type is a manual processing type; and performing an abnormality recovery process on the vehicle according to the abnormality processing rule when the instructed process type is an automatic process type.

It should be understood that, in the embodiment of the present Application, the Processor 610 may be a Central Processing Unit (CPU), and the Processor 610 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 620 may include both read-only memory and random access memory, and provides instructions and data to the processor 610. A portion of the memory 620 may also include non-volatile random access memory. For example, the memory 620 may also store device type information.

The computer readable storage medium may be an internal storage unit of the vehicle abnormality processing device of any of the foregoing embodiments, such as a hard disk or a memory of the vehicle abnormality processing device. The computer readable storage medium may also be an external storage device of the vehicle abnormality processing apparatus, such as a plug-in hard disk provided on the vehicle abnormality processing apparatus, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like. Further, the computer-readable storage medium may also include both an internal storage unit of the vehicle abnormality processing apparatus and an external storage device. The computer-readable storage medium is used to store a computer program and other programs and data required by the vehicle abnormality processing device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

The above-described embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-described embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.

Claims

1. A vehicle abnormality processing method characterized by comprising:

detecting the running state of a vehicle, and determining a running identifier of the vehicle, wherein the determined running identifier is used for uniquely identifying the running state of the vehicle obtained by detection;

obtaining vehicle context information associated with the operation identifier, wherein the vehicle context information comprises: status information representing an operating status of a target component in the vehicle and environmental information associated with the vehicle;

performing data analysis on state information and environment information included in the vehicle context information to obtain an abnormal grade of the vehicle;

and processing according to the exception handling rules associated with the exception levels, wherein different exception handling rules are associated with different exception levels.

2. The method of claim 1, wherein obtaining vehicle context information associated with the operational indicia comprises:

acquiring monitoring item indicating information configured for the operation identifier;

and searching the state information and the environmental information of the vehicle according to the monitoring item indication information to obtain the vehicle context information.

3. The method of claim 1, wherein obtaining vehicle context information associated with the operational indicia comprises:

acquiring state information associated with the identification information;

acquiring environmental information associated with the state information;

and combining to obtain the vehicle context information according to the state information and the environment information.

4. The method according to any one of claims 1 to 3, wherein the performing data analysis on the state information and the environment information included in the vehicle context information to obtain the abnormality level of the vehicle comprises:

analyzing according to the vehicle context information to obtain abnormal description information of the vehicle;

and determining the abnormality level of the vehicle according to the mapping relation between the abnormality description information and the abnormality level.

5. The method according to any one of claims 1 to 4, wherein after the performing data analysis on the state information and the environment information included in the vehicle context information to obtain the abnormality level of the vehicle and before performing processing according to the abnormality processing rule associated with the abnormality level, the method further comprises:

acquiring an exception handling rule set corresponding to the operation identifier;

and acquiring the exception handling rule corresponding to the exception level in the exception handling rule set.

6. The method of any of claims 1 to 5, wherein said processing according to exception handling rules associated with said exception level comprises:

determining a processing category indicated by an exception handling rule associated with the exception level;

when the indicated processing type is a manual processing type, outputting prompt information for indicating a user to process the vehicle according to the abnormal processing rule;

and if the instructed processing type is an automatic processing type, performing the abnormal recovery processing on the vehicle according to the abnormal processing rule.

7. The method according to any one of claims 2 to 6, wherein the vehicle context information is generated according to state information and environment information obtained from a database provided for the vehicle, and the data corresponding to the state information and the environment information recorded in the database comprises: at least one of data collected by sensors disposed on the vehicle and data obtained via a network.

8. A vehicle abnormality processing device characterized by comprising:

the detection unit is used for detecting the running state of a vehicle and determining the running identifier of the vehicle, wherein the determined running identifier is used for uniquely identifying the running state of the vehicle obtained by detection;

an obtaining unit, configured to obtain vehicle context information associated with the operation identifier, where the vehicle context information includes: status information representing an operating status of a target component in the vehicle and environmental information associated with the vehicle;

the analysis unit is used for carrying out data analysis on the state information and the environment information included in the vehicle context information to obtain the abnormal grade of the vehicle;

and the processing unit is used for processing according to the exception handling rules associated with the exception levels, wherein different exception handling rules are associated with different exception levels.

9. The apparatus according to claim 8, wherein the obtaining unit is specifically configured to:

10. The apparatus according to claim 8, wherein the obtaining unit is specifically configured to:

acquiring state information associated with the identification information;

acquiring environmental information associated with the state information;

11. The device according to claim 8 or 10, wherein the analysis unit is specifically configured to:

12. The apparatus according to any one of claims 8 to 11, wherein the obtaining unit is further configured to:

13. The apparatus according to any one of claims 8 to 12, wherein the processing unit is specifically configured to:

14. The apparatus according to any one of claims 9 to 13, wherein the vehicle context information is generated according to state information and environment information obtained from a database provided for the vehicle, and data corresponding to the state information and the environment information recorded in the database includes: at least one of data collected by sensors disposed on the vehicle and data obtained via a network.

15. A control device, comprising a processor and a memory, the processor and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any one of claims 1-7.

16. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions for execution by a processor for performing the method according to any one of claims 1-7.