CN117632234A - Vehicle capacity management and control method, system and medium - Google Patents

Abstract

The invention relates to a vehicle capability management and control method, a system and a medium, and relates to the technical field of vehicle cloud networking, wherein the method comprises the steps of obtaining vehicle information and capability information; establishing a vehicle capacity management and control model based on the vehicle information and the capacity information; generating an available capability list of the vehicle to be controlled based on the vehicle capability management model; and performing capacity management and control on the vehicle to be managed based on the available capacity list. The invention can control the vehicle capacities of different baselines and even different configurations of different vehicle types.

Description

Vehicle capacity management and control method, system and medium

Technical Field

The invention relates to the technical field of vehicle cloud networking, in particular to a vehicle capacity management and control method, a vehicle capacity management and control system and a vehicle capacity management and control medium.

Background

Different vehicle models have differences in software and hardware capabilities, and at the same time, even the same model of vehicle may have different vehicle capabilities due to different baselines and configurations. Vehicle capability plays a critical cornerstone role in all applications and services. If the vehicle capability cannot be effectively managed, it is difficult to ensure the normal running of a specific application or service on the target vehicle, and even unknown errors may be caused, which affects the user experience and the driving safety.

Existing vehicle capacity management has certain limitations, typically custom release based on different vehicle models and baselines, which may prevent normal business for applications (e.g., scenes) that require dynamic download. For example, after a specific scenario is developed based on a certain vehicle model and a baseline, when a vehicle logs in, the cloud may not push the correct scenario, and even if the scenario is downloaded to the vehicle, the scenario may not perform normally due to the limitation of capacity management.

Disclosure of Invention

In view of the above-mentioned drawbacks of the prior art, the present invention aims to provide a vehicle capability management and control method, system and medium, which can manage and control vehicle capabilities of different vehicle types, different baselines and even different configurations, and provide different capabilities according to different vehicles, so as to facilitate application and use.

In order to achieve the above purpose, the present invention adopts the following technical scheme.

In a first aspect, the present invention provides a vehicle capability management and control method, which adopts the following technical scheme:

a vehicle capability management method, comprising:

acquiring vehicle information and capability information;

establishing a vehicle capacity management and control model based on the vehicle information and the capacity information;

generating an available capability list of the vehicle to be controlled based on the vehicle capability management model;

and performing capacity management and control on the vehicle to be managed based on the available capacity list.

Further, in the vehicle capability management and control method, the vehicle information includes vehicle model information, vehicle baseline information, vehicle service information, vehicle logistics information and/or vehicle height configuration information; the capability information includes vehicle available services, service availability methods, service availability parameters, vehicle signaling capabilities, and/or hardware capabilities of the vehicle.

Further, in the vehicle capability management method, the acquiring vehicle information and capability information includes:

importing the vehicle information and the capability information from an external device or system;

checking the validity and/or rationality of the vehicle information and the capability information;

establishing a data source model based on the vehicle information and the capability information;

and performing closed loop checking on the data source model.

Further, in the vehicle capability management method, the checking the validity and/or rationality of the vehicle information and the capability information includes:

checking whether the vehicle logistics information meets the specification and standard defined by logistics data, and whether the data stream data format is correct or missing;

and/or checking whether the capability information meets the specification and standard of service definition, whether the service name meets the specification, whether the version is a valid version number, whether the service method normally defines input and output, whether the deployment information accords with the specification, whether the structure of the data is complete, whether the data type is in a supporting range, and whether the enumerated data can be normally analyzed;

and/or checking whether the ECU information provided by the vehicle information is in the ECU range of the current vehicle type, whether the service provider and the consumer are in the deployment range of the current vehicle type, whether the version information of the software meets the current baseline, and whether the same index has multiple results.

Further, in the vehicle capacity management and control method, the building a vehicle capacity management and control model based on the vehicle information and the capacity information includes:

establishing an initial capacity management and control model according to the initial vehicle information and the capacity information;

and carrying out differential analysis on the follow-up vehicle information and capability information and the initial vehicle information and capability information, and carrying out incremental construction on the initial capability management model based on the differential analysis result to obtain the vehicle capability management model.

Further, in the vehicle capacity management and control method, the establishing an initial capacity management and control model according to the initial vehicle information and the capacity information includes:

defining a data structure of a capacity management and control model;

based on the defined data structure, establishing a relation model between the vehicle information and the capability information;

and constructing an initial capacity management and control model by using the established relational model.

Further, in the vehicle capacity management method, the generating the available capacity list of the vehicle to be managed based on the vehicle capacity management model includes:

collecting vehicle acquisition information of a vehicle to be managed and controlled;

and based on the vehicle acquisition information, matching the available capability list of the vehicle to be controlled from the vehicle capability control model.

Further, in the vehicle capacity management and control method, the managing and controlling the capacity of the vehicle to be managed and controlled based on the available capacity list includes:

comparing the available capacity list with a cloud baseline according to a predefined rule, and determining baseline information of the vehicle to be managed and controlled; and analyzing and processing the baseline information at the vehicle end to complete vehicle capacity management and control service.

Further, in the vehicle capacity management and control method, the method further includes:

and generating a capability difference list based on the available capability list, and performing capability management and control on the vehicle to be managed based on the capability difference list.

Further, in the vehicle capacity management and control method, the method further includes:

and generating a service capability list based on the available capability list, and performing capability management and control on the vehicle to be managed and controlled based on the service capability list.

In a second aspect, the present invention provides a vehicle capability management and control system, which adopts the following technical scheme:

a vehicle capability management system, comprising:

the source data module is at least used for acquiring vehicle information and capability information;

the capacity management and control model building module is at least used for building a vehicle capacity management and control model based on the vehicle information and the capacity information;

the capacity management and control model service module is at least used for generating an available capacity list of the vehicle to be managed and controlled based on the vehicle capacity management model;

and the vehicle-end capacity management and control module is at least used for managing and controlling the capacity of the vehicle to be managed and controlled based on the available capacity list.

In a third aspect, the present invention provides a readable storage medium, which adopts the following technical scheme:

a readable storage medium storing computer instructions which when executed by a processor implement a vehicle capability management method according to any one of the first aspects.

In summary, compared with the prior art, the invention has at least one of the following beneficial technical effects:

the vehicle capacity management and control model is formed by integrating and managing the data of the vehicle type, the vehicle, the base line, the vehicle capacity and the like. Along with the increase of the vehicle types and baselines, a multi-vehicle type multi-baseline capacity management and control model is formed. And further, based on the capacity management model, all baseline services are provided for all vehicle types.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of one embodiment of a vehicle capability management method of the present invention.

FIG. 2 is a flow chart of a vehicle capability management method according to an embodiment of the present invention.

FIG. 3 is a flow chart of another embodiment of a vehicle capability management method of the present invention.

FIG. 4 is a flow chart of another embodiment of a vehicle capability management method of the present invention.

FIG. 5 is a flow chart of an embodiment of a vehicle capability management model according to the present invention.

FIG. 6 is a flow chart of a data cleansing method according to an embodiment of the present invention.

FIG. 7 is a flow chart of another embodiment of a vehicle capability management method of the present invention.

FIG. 8 is a schematic diagram of a vehicle capacity management system according to an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, based on the embodiments herein, which are within the scope of the protection of the present application, will be within the skill of the art without inventive effort. Furthermore, it should be understood that the detailed description is presented herein for purposes of illustration and explanation only and is not intended to limit the present application.

It should be noted that the following description order of the embodiments is not intended to limit the preferred order of the embodiments of the present application. In the following embodiments, the descriptions of the embodiments are focused on, and for the part that is not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.

The execution sequence of the method steps in the embodiments of the present invention may be performed according to the sequence described in the specific embodiments, or the execution sequence of each step may be adjusted according to actual needs on the premise of solving the technical problem, which is not listed here.

The invention is described in further detail below with reference to fig. 1-8.

Referring to fig. 1 and 2, an embodiment of the present invention provides a vehicle capability management method, including:

s1, acquiring vehicle information and capability information;

s2, building a vehicle capacity management and control model based on the vehicle information and the capacity information;

s3, generating an available capability list of the vehicle to be controlled based on the vehicle capability management model;

and S4, carrying out capacity management and control on the vehicle to be managed and controlled based on the available capacity list.

Specifically, in step S1, the acquisition of the vehicle information and the capability information may be implemented in detail by: first, basic information of a vehicle, such as VIN code, logistic data (including ECU information, hardware configuration, etc.), software version number, etc., is acquired through an in-vehicle sensor and a communication module. At the same time, the real-time signal capability of the vehicle is collected through a data bus system (such as CAN, LIN, DDS, etc.) inside the vehicle. In addition, a communication interface is established with the vehicle manufacturer and related service providers to acquire various services supported by the vehicle and corresponding methods and parameter information thereof. Comprehensive and accurate vehicle information and capability information databases are constructed by integrating the data sources, so that acquired data can meet the standards and standards, and a reliable basis is provided for subsequent steps.

In step S2, a vehicle capability management and control model is established based on the vehicle information and the capability information, and the vehicle capability management and control model may use a relational database or other data structures to combine key elements such as vehicle model, baseline, ECU information, logistics data, service capability, etc. to form a data model with strong relevance. In model design, it is desirable to allow for fast look-up and use of data to improve system performance. The constructed vehicle capacity management and control model can restore and manage the hardware and software capacities of the vehicle more efficiently, and provides a reliable basis for subsequent management and control.

Next, in step S3, based on the established vehicle capability management model, when a certain vehicle to be managed is subjected to capability management service, an available capability list of the vehicle to be managed is generated according to the vehicle information of the vehicle to be managed. This list includes the hardware and software capabilities currently available to the vehicle, as well as other relevant information.

And finally, carrying out capacity control on the vehicle to be controlled by utilizing the generated available capacity list, wherein the capacity control comprises the steps of dynamically updating the service, configuration parameters, executing control operation and the like of the vehicle so as to ensure that the vehicle has the latest capacity in the current environment.

The vehicle capacity management and control model is formed by integrating and managing the data of the vehicle type, the vehicle, the base line, the vehicle capacity and the like. Along with the increase of the vehicle types and baselines, a multi-vehicle type multi-baseline capacity management and control model is formed. And further, based on the capacity management model, all baseline services are provided for all vehicle types.

Further, as an embodiment of the present invention, the vehicle information includes vehicle model information, vehicle baseline information, vehicle service information, vehicle logistics information and/or vehicle height configuration information; the capability information includes vehicle available services, service availability methods, service availability parameters, vehicle signaling capabilities, and/or hardware capabilities of the vehicle.

Specifically, in one embodiment of the present invention, the detailed composition of the vehicle information includes key features of the vehicle, wherein:

vehicle model information: the method comprises the steps of including a specific vehicle model of a vehicle, including a manufacturer of the vehicle model, a year of the vehicle model, a model of the vehicle model and the like, and providing key information for identifying the vehicle model;

vehicle baseline information: the method comprises the steps of providing key information for determining basic capability of the vehicle, wherein the basic line comprises a version of the basic line, a configuration of the basic line, a production date of the basic line and the like which are currently used by the vehicle;

vehicle service information: various services supported by the vehicle, including vehicle entertainment, navigation services, intelligent driving assistance services and the like, provide a service list which can be provided or used by the vehicle;

vehicle logistics information: the logistics data of the vehicle, including information of each Electronic Control Unit (ECU), data of a vehicle sensor and the like, provide detailed information for the real-time state of the vehicle;

vehicle height configuration information: including hardware configuration information of the vehicle, including sensors, processors, communication modules, etc. that are equipped differently in order to precisely match the hardware capabilities of the vehicle.

For capability information, it includes various capabilities that the vehicle has, wherein:

vehicle available services: various services supported by the vehicle, such as entertainment services, security services, etc., are indicated;

service availability method: describing available methods of each service supported by the vehicle, which may include functions and operation methods of the service;

service availability parameters: the method comprises the steps of supporting various parameters of the service, and configuring specific behaviors of the service;

vehicle signaling capability: communication capability of the vehicle is related, including support conditions of communication protocols such as CAN, LIN, DDS;

hardware capabilities of the vehicle: including the performance and specifications of the hardware devices carried by the vehicle, such as the accuracy of the sensors, the computing power of the processor, etc.

The detailed composition of the vehicle information and the capability information provides a rich data base for the construction of the vehicle capability management model, so that the capability state of the vehicle can be recognized, managed and adjusted more accurately.

Further, as an embodiment of the present invention, referring to fig. 3 and 4, step S1 includes:

s11, importing the vehicle information and the capability information from an external device or system;

s12, checking the validity and/or rationality of the vehicle information and the capability information;

s13, establishing a data source model based on the vehicle information and the capability information;

s14, performing closed loop checking on the data source model.

Specifically, S11 imports the relevant information and capability data of the vehicle by establishing a connection with an external device or system. And more particularly to interfaces with vehicle manufacturers, cloud service providers, or other data sources to ensure that the information obtained is comprehensive, accurate, and timely. After importing the data, step S12 performs validity and rationality checks on the data to ensure that the data meets specifications and standards, including checking whether the logistics data, the service capability data, and the like meet defined specifications, and ensuring the integrity, the correctness and the reliability of the data. After the validity check is passed, step S13 builds a data source model based on the acquired vehicle information and capability information to build a relational data model, ensuring the integrity and traceability of the data. Finally, after the data source model is established, step S14 performs a closed loop check to ensure that the minimum link of the data is complete. This involves checking whether the data link from the model, baseline, ECU information, logistics data, service capability, etc. is complete to prevent data loss or incompleteness. It is ensured that at baseline release, all necessary information has been imported and modeled.

Further, as an embodiment of the present invention, the checking of validity and/or rationality of the vehicle information and the capability information includes:

checking whether the vehicle logistics information meets the specification and standard defined by logistics data, and whether the data stream data format is correct or missing;

and/or checking whether the capability information meets the specification and standard of service definition, whether the service name meets the specification, whether the version is a valid version number, whether the service method normally defines input and output, whether the deployment information accords with the specification, whether the structure of the data is complete, whether the data type is in a supporting range, and whether the enumerated data can be normally analyzed;

and/or checking whether the ECU information provided by the vehicle information is in the ECU range of the current vehicle type, whether the service provider and the consumer are in the deployment range of the current vehicle type, whether the version information of the software meets the current baseline, and whether the same index has multiple results.

In particular, the process of checking vehicle logistics information involves multiple steps. First, a validity check is performed on the imported logistics data to ensure that it meets predefined specifications and standards. This includes verifying compliance in terms of naming convention, data format, units, etc. of the data item. For example, it is ensured that the values measured by the sensors use the correct units, following a defined format. Secondly, checking whether the format of each data item is correct in detail, and checking the range of the numerical value data to ensure that the data item is in a reasonable value range; the length of the string-type data is checked to ensure that it meets the defined character length requirements. At the same time, attention is paid to whether there is missing logistics data, especially for the necessary data items. If some critical data item is missing, an alert may be issued or automatic repair measures may be taken, such as filling with default values or interpolation, to ensure the integrity and availability of the data.

Checking the vehicle logistics information ensures that the vehicle logistics information imported from the outside meets defined standards and standards, has correct data format, and timely processes any missing or abnormal situation, thereby providing a reliable data basis for the establishment of a subsequent vehicle capacity management and control model.

The step of checking capability information includes a number of aspects. First, it is verified whether the imported capability information meets the previously defined specifications and standards. Including naming rules for service definition, version number format, proper definition of service methods, compliance of deployment information, etc. For example, ensuring that the service name meets the specification, the version number is in a valid format, the deployment information meets the system specification, and so on. Secondly, the method definition of each service is checked in detail, so that the normal definition of the input and output parameters is ensured, and the data structure body is complete and accords with the specification. Including verifying whether the parameters are within the supported data types, and whether the enumeration data can be properly parsed. The method of checking each service ensures that it receives input normally and generates the correct output when the service is invoked. Meanwhile, whether deployment information accords with the specification is concerned, and whether a service provider and a consumer are in the deployment range of a vehicle type or not is included, and whether software version information accords with the current baseline requirement or not is concerned. This helps to ensure reasonable deployment and use of services.

The checking capability information ensures that the externally imported vehicle capability information accords with defined specifications and standards, and all aspects of service names, version numbers, method definition, deployment information and the like are thoroughly checked, so that a reliable data basis is provided for the establishment of a subsequent vehicle capability management and control model.

The step of checking whether the ECU information provided by the vehicle information is within the ECU range of the current vehicle model includes various aspects. First, the system verifies whether the imported ECU information is within the ECU range defined by the current vehicle model. Including ensuring that the ECU information provided matches the type and number of ECUs supported by the vehicle model. Meanwhile, it is checked whether the provider and consumer of the service are within the deployment range of the current model of the vehicle. This ensures that normal provisioning and invocation of services is limited to the extent allowed by the model of the vehicle, preventing out-of-range use of services or loss of critical services. In addition, it is verified whether the software version information meets the requirements of the current baseline. This includes ensuring that the software version provided by the vehicle is compatible with the version of the current baseline definition and meets compliance requirements of the system for the software version. Finally, check if the same index has multiple results. The method and the device relate to that for the same type of information or attribute, a plurality of different results are not returned, and the consistency and the accuracy of data are ensured.

The ECU information provided by the vehicle information is checked to ensure that the ECU information, the service provider, the consumer, the software version information and the like in the vehicle information imported from the outside accord with the specifications and standards of the current vehicle type and the baseline, and a reliable data basis is provided for the establishment of a follow-up vehicle capacity management and control model.

Further, as an embodiment of the present invention, referring to fig. 5, step S2 of building a vehicle capability management model based on the vehicle information and the capability information includes: establishing an initial capacity management and control model according to the initial vehicle information and the capacity information; and carrying out differential analysis on the follow-up vehicle information and capability information and the initial vehicle information and capability information, and carrying out incremental construction on the initial capability management model based on the differential analysis result to obtain the vehicle capability management model.

In particular, a vehicle capability management model may be understood as a data model that is intended to store less data, restore data more fully, find data more quickly, and use data.

The data of the capacity management model is derived from the data source model obtained in step S13. The complete construction of the capacity management and control model can only be performed under the condition that the data source model (the minimum link) is complete.

To achieve an efficient capacity management model, the data of the data source model is cleaned (some data need to be converted), for example, the cleaning process of service data is shown in fig. 6, and then the data source model is constructed according to the capacity management model.

The specific embodiment of establishing an initial capacity management model with initial vehicle information and capacity information involves the following key steps. First, a basic vehicle capacity management model is constructed by using initially imported vehicle information including vehicle type, base line, service information, capacity information and the like, wherein the basic vehicle capacity management model comprises association of the vehicle type and the base line, definition of service, hardware and software capacity of the vehicle and the like. When the initial model is built, the accuracy and the integrity of each item of information are ensured, for example, the matching of vehicle information and capability information is verified, and the data format, the range, the association relation and the like are checked. The goal of step S21 is to form a preliminary, initial information-based capacity management model that provides a starting point for subsequent differential analysis and incremental construction. The initial capacity management model establishment includes the definition of data models, the establishment of relationships, and the indexing of various pieces of information for subsequent data query and analysis. The whole process focuses on building a basic model, and provides a basis for subsequent updating and optimization.

Subsequently, a differential analysis of the subsequent vehicle information and capability information from the initial vehicle information and capability information is performed. This analysis mainly involves comparing the differences between the newly imported data and the original data, including newly added information, deleted information, and changed information. The purpose of the differential analysis is to capture changes in vehicle types, baselines, services and the like, and provide detailed guidance for subsequent capacity management and control model updating.

Based on the result of the differential analysis, an initial capacity management and control model is constructed in an increment mode aiming at the changed information. So that the build process of the capacity management model only updates and optimizes the changed parts without having to reconstruct the whole model. In the incremental construction process, new information is integrated, deleted information is cleaned, and change information is updated, so that the new capacity management and control model is ensured to be synchronous with the newly released vehicle information. In addition, incremental construction includes adjustments to the associated data in the model, such as updating data structures, adjusting relationship links, and the like. The whole process focuses on efficiently updating the capacity management and control model to accommodate dynamic changes in vehicle information.

Through the series of operations, the real-time updating of the vehicle capacity management and control model can be realized, so that the latest vehicle information and capacity conditions can be accurately reflected, and the flexibility and universality of the capacity management and control service are improved.

Further, as an embodiment of the present invention, the establishing an initial capacity management model with initial vehicle information and capacity information includes: defining a data structure of a capacity management and control model; based on the defined data structure, establishing a relation model between the vehicle information and the capability information; and constructing an initial capacity management and control model by using the established relational model.

Specifically, in the process of implementing "establishing an initial capacity management and control model with initial vehicle information and capacity information", a data structure defining a capacity management and control model is first performed. This step defines the various components required for the model, such as model, baseline, service capabilities, hardware capabilities, etc., ensuring the clarity and integrity of the data structure. Then, based on this definition, a relational database model is built, which includes definitions of tables and fields, and association relationships between them. Such a relational model can effectively store and manage complex relationships between vehicle information and capability information. And finally, constructing an initial capacity management and control model by using the established relational model. This process includes mapping the initial vehicle information and capability information into corresponding tables of the relational model, ensuring proper importation of the information and integrity of the model. Through the series of steps, a preliminary complete capacity management and control model is successfully established, and a solid foundation is provided for subsequent operation.

Further, as an embodiment of the present invention, referring to fig. 7, step S3, generating a capability list of vehicles to be managed based on the vehicle capability management model includes: collecting vehicle acquisition information of a vehicle to be managed and controlled; and based on the vehicle acquisition information, matching the available capability list of the vehicle to be controlled from the vehicle capability control model.

Specifically, step S3 first performs collection of vehicle collection information of the vehicle to be managed and controlled. This step involves collecting vehicle information, such as VIN codes, logistical data, software versions, etc., of the vehicles to be managed. Then, by using the acquired information, a list of available capabilities of the vehicle to be controlled is generated by matching with the established vehicle capability control model. In the matching process, the capability of the vehicle to be managed and controlled is accurately identified according to dimensions such as vehicle types, baselines and the like, wherein the capability comprises hardware capability, software service capability, service parameter capability and the like. Through the process, a clear and definite available capability list is successfully built for the vehicle to be controlled, and accurate basic data is provided for subsequent capability control.

Further, as an embodiment of the present invention, with continued reference to fig. 7, step S4 of performing capacity management and control on the vehicle to be managed based on the available capacity list includes: comparing the available capacity list with a cloud baseline according to a predefined rule, and determining baseline information of the vehicle to be managed and controlled; and analyzing and processing the baseline information at the vehicle end to complete vehicle capacity management and control service.

Specifically, in the process of performing capacity management and control on the vehicle to be managed and controlled based on the available capacity list, the available capacity list is compared with a cloud baseline first. And determining the baseline information of the vehicle to be controlled, including key information such as vehicle types, baseline versions and the like, through predefined rules. And then analyzing and processing the baseline information at the vehicle end to complete the vehicle capacity management and control service. This process involves comparing the baseline information of the cloud with the actual capabilities of the vehicle to be managed, determining differences and consistencies. The analysis and processing stage covers the accurate interpretation of the baseline information and the corresponding control of the capability of the vehicle according to the interpretation result. Through the series of operations, the capability control of the vehicle to be controlled can be effectively performed, and the fact that the corresponding capability of the vehicle can be correctly acquired and applied according to actual conditions in the using process is ensured.

Further, as an embodiment of the present invention, the vehicle capability management method further includes: and generating a capability difference list based on the available capability list, and performing capability management and control on the vehicle to be managed based on the capability difference list.

Specifically, based on the acquired available capacity list, capacity analysis is performed, and differences between the vehicle to be managed and controlled and the cloud base line are identified. Including differential analysis of service methods, parameters, enumerated values, etc. The generated capability difference list clearly records the capability deviation of the vehicle to be managed relative to the cloud baseline. And carrying out accurate capacity control on the vehicle to be controlled by utilizing the generated capacity difference list, and adjusting and managing the specific capacity of the vehicle according to the information in the capacity difference list, wherein the specific capacity comprises the steps of enabling and disabling specific services or methods, adjusting parameters, adapting to different baseline requirements and the like. This ensures that the vehicle to be managed can dynamically adapt to new capacity requirements after cloud baseline changes or upgrades. The available capability list of the vehicle considers the actual situation of the vehicle, and if all the capability returns can cause the capability list to be overlarge, the capability difference list which needs to be managed and controlled and is different is returned, so that the data transmission and system processing efficiency can be optimized, the vehicle can acquire the required capability information matched with the base line, and more accurate and efficient capability management and control can be realized.

Further, as an embodiment of the present invention, the vehicle capability management method further includes: and generating a service capability list based on the available capability list, and performing capability management and control on the vehicle to be managed and controlled based on the service capability list.

Specifically, when a specific service request is received, a corresponding service capability list can be dynamically generated according to service requirements. The service capability list is customized according to service rules and requirements based on the available capability list of the vehicle, and only contains information such as services, methods, parameters and the like required by the service so as to more accurately meet the service requirements. The method is further beneficial to reducing the data quantity and improving the data transmission efficiency.

Illustratively, referring to FIG. 5, a capability management model of the present invention includes the following key elements that together constitute the overall management and control of vehicle capabilities. Specifically:

vehicle model: characterizing the model of the vehicle, such as EP33, MS 33M 1, etc., for specifying basic model information of the vehicle;

the vehicle features: the method comprises the steps of including a function Code of the vehicle, representing the hardware configuration, the high-low configuration and the like of the vehicle, and subdividing and identifying the functions of the vehicle;

vehicle ECU: a domain representing a vehicle end, covering ECU information related to the vehicle, for describing an electronic control unit of the vehicle; vehicle logistics data: the system relates to logistics data such as version information of an ECU (electronic control unit) and the like, and provides basic data support for software and hardware information of a vehicle;

baseline: a baseline representing different phases of the vehicle, such as SOP (Start of Production), sop+3, etc., for tracking the configuration of the vehicle at different production phases;

version: version information of each software in the vehicle is used for tracking and managing the upgrade and change of the software in the vehicle;

deviation: describing service deviation among different baselines, including information such as service methods, parameters, enumeration values and the like, and analyzing and managing the difference among the baselines;

status: describing the available state of the service, indicating whether the specific service is currently available or not, and monitoring the capacity state of the vehicle in running;

service: the information including the name, version, deployment, etc. of the service is used for defining the specific service that the vehicle can provide;

the method comprises the following steps: a method for defining a service, comprising input and output and the like, and providing specifications for specific execution of the service;

parameters: specific parameter definitions describing the service, including data types, ranges, etc. of parameters for proper invocation and execution of the service;

the structure body comprises: defining a specific structure of the service, including defining internal fields of the structure, and providing structural support for the transmission of service data;

and (3) assembly: according to a service-defined component, the component may contain a plurality of services for building a modular structure of services;

the functions are as follows: the functions of the vehicle end are represented, so that the overall functions of the vehicle are divided and managed;

service interface: including the invocation of the service and the definition of the relevant party, describing the interface between the service and other components or systems; conditions/combinations: the method is characterized by describing the pre-conditions and post-conditions of service use, performing interface combination of multiple services, and the like, and providing conditions and rules for complex scene execution of the services.

The elements together construct a comprehensive and fine vehicle capacity management model, and powerful support is provided for accurately managing and controlling the capacities of various aspects of the vehicle.

It should be noted that the specific elements and contents of the vehicle capacity management model can be flexibly adjusted according to actual service requirements so as to meet different scenes and requirements. The above-mentioned elements of the vehicle model, the base line, the version, the deviation, the state, the service, the method, the parameter and the like are only a basic framework, and other information and interfaces may be involved in the actual business situation.

In practical applications, many more factors may be considered, such as vehicle real-time data flow, security and rights control, etc. In addition, with the development of technology and the change of business, the requirement for vehicle capacity management may also change, so the capacity management model needs to have certain flexibility and expandability to adapt to future business development.

Further, referring to fig. 8, the embodiment of the invention also discloses a vehicle capacity management and control system, which comprises a source data module, a capacity management and control model building module, a capacity management and control model service module and a vehicle end management and control module.

The source data module is used for acquiring vehicle information and capability information. The source data module is responsible for collecting basic information of the vehicle from an external device or system, including vehicle types, baselines, versions, logistics data, service information, capability information and the like, and is used as basic data for constructing a vehicle capability management and control model. Meanwhile, the source data module also performs data validity check, rationality check, data source model establishment and data closed loop check on the acquired vehicle information and capability information.

The capacity management and control model building module is used for building a vehicle capacity management and control model based on the vehicle information and the capacity information. After the new source data is acquired, the capacity management and control model building module performs data cleaning, differential analysis, integrity verification, release and other processes to build a vehicle capacity management and control model, wherein the vehicle capacity management and control model comprises elements such as vehicle types, base lines, versions, deviations, states, services, methods, parameters and the like so as to perform subsequent capacity management and control.

The capacity management model service module is used for generating an available capacity list of the vehicle to be managed and controlled based on the vehicle capacity management model. The module dynamically generates an available capacity list with strong adaptability and high accuracy according to the judgment on the vehicle base line so as to provide the vehicle end with subsequent capacity management and control.

The vehicle-end capacity management and control module is used for managing and controlling the capacity of the vehicle to be managed and controlled based on the available capacity list or the capacity difference list. The vehicle-end capacity management and control module is responsible for analyzing and processing capacity information from the cloud end at the vehicle end, ensuring that the vehicle has required capacity during running, and dynamically adjusting and managing according to actual scenes and requirements.

According to the vehicle capacity management and control model, the cloud capacity management and control model building module integrates and manages data such as vehicle types, vehicles, baselines and vehicle capacities, and certain rules are set according to requirements to form a vehicle capacity management and control model (the vehicle types, the baselines are used as dimensions, the hardware capacity, the software service capacity and the parameter capacity of the vehicle are formed into basic data, and then difference data are formed according to differences of the baselines to form the vehicle capacity management and control model). Along with the increase of the vehicle types and baselines, a multi-vehicle type multi-baseline capacity management and control model is formed. The cloud-side provided capacity management and control model service module provides all baseline services for all vehicle types and also provides services for different cloud-side applications; the vehicle-end capacity management and control module is deployed on each vehicle, and can acquire the capacity of the vehicle from the cloud capacity management and control model service module and provide capacity management and control service for the application of the vehicle, so that multi-vehicle type multi-baseline capacity management and control is formed.

The embodiment of the invention also discloses a readable storage medium.

A readable storage medium storing a computer program which, when executed by a processor, performs the steps of the vehicle capability management method according to any one of the above embodiments. The computer readable storage medium may include: any entity or device capable of carrying a computer program, a recording medium, a USB flash disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a software distribution medium, and so forth. The computer program comprises computer program code. The computer program code may be in the form of source code, object code, executable files, or in some intermediate form, among others. The computer readable storage medium may include: any entity or device capable of carrying computer program code, a recording medium, a USB flash disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a software distribution medium, and so forth.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, system that includes a processing module, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.

The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (12)

1. A vehicle capability management method, comprising:

acquiring vehicle information and capability information;

establishing a vehicle capacity management and control model based on the vehicle information and the capacity information;

generating an available capability list of the vehicle to be controlled based on the vehicle capability management model;

and performing capacity management and control on the vehicle to be managed based on the available capacity list.

2. The vehicle capability management method according to claim 1, wherein the vehicle information includes vehicle model information, vehicle baseline information, vehicle service information, vehicle logistics information and/or vehicle height configuration information; the capability information includes vehicle available services, service availability methods, service availability parameters, vehicle signaling capabilities, and/or hardware capabilities of the vehicle.

3. The vehicle capability management method according to claim 2, wherein the acquiring vehicle information and capability information includes:

importing the vehicle information and the capability information from an external device or system;

checking the validity and/or rationality of the vehicle information and the capability information;

establishing a data source model based on the vehicle information and the capability information;

and performing closed loop checking on the data source model.

4. A vehicle capability management method according to claim 3, wherein said checking the validity and/or rationality of said vehicle information and capability information comprises:

checking whether the vehicle logistics information meets the specification and standard defined by logistics data, and whether the data stream data format is correct or missing;

and/or checking whether the capability information meets the specification and standard of service definition, whether the service name meets the specification, whether the version is a valid version number, whether the service method normally defines input and output, whether the deployment information accords with the specification, whether the structure of the data is complete, whether the data type is in a supporting range, and whether the enumerated data can be normally analyzed;

and/or checking whether the ECU information provided by the vehicle information is in the ECU range of the current vehicle type, whether the service provider and the consumer are in the deployment range of the current vehicle type, whether the version information of the software meets the current baseline, and whether the same index has multiple results.

5. The vehicle capability management method according to claim 1, wherein the building a vehicle capability management model based on the vehicle information and capability information includes:

establishing an initial capacity management and control model according to the initial vehicle information and the capacity information;

and carrying out differential analysis on the follow-up vehicle information and capability information and the initial vehicle information and capability information, and carrying out incremental construction on the initial capability management model based on the differential analysis result to obtain the vehicle capability management model.

6. The vehicle capability management method according to claim 5, wherein the establishing an initial capability management model with initial vehicle information and capability information includes:

defining a data structure of a capacity management and control model;

based on the defined data structure, establishing a relation model between the vehicle information and the capability information;

and constructing an initial capacity management and control model by using the established relational model.

7. The vehicle capability management method according to claim 1, wherein the generating a list of available capabilities of the vehicle to be managed based on the vehicle capability management model includes:

collecting vehicle acquisition information of a vehicle to be managed and controlled;

and based on the vehicle acquisition information, matching the available capability list of the vehicle to be controlled from the vehicle capability control model.

8. The vehicle capacity management method according to claim 1, wherein the capacity management of the vehicle to be managed based on the available capacity list includes:

comparing the available capacity list with a cloud baseline according to a predefined rule, and determining baseline information of the vehicle to be managed and controlled;

and analyzing and processing the baseline information at the vehicle end to complete vehicle capacity management and control service.

9. The vehicle capacity management method of claim 1, further comprising:

and generating a capability difference list based on the available capability list, and performing capability management and control on the vehicle to be managed based on the capability difference list.

10. The vehicle capacity management method of claim 1, further comprising:

and generating a service capability list based on the available capability list, and performing capability management and control on the vehicle to be managed and controlled based on the service capability list.

11. A vehicle capability management system, the system comprising:

the source data module is at least used for acquiring vehicle information and capability information;

the capacity management and control model building module is at least used for building a vehicle capacity management and control model based on the vehicle information and the capacity information;

the capacity management and control model service module is at least used for generating an available capacity list of the vehicle to be managed and controlled based on the vehicle capacity management model;

and the vehicle-end capacity management and control module is at least used for managing and controlling the capacity of the vehicle to be managed and controlled based on the available capacity list.

12. A readable storage medium storing computer instructions which when executed by a processor implement a vehicle capability management method as claimed in any one of claims 1 to 10.