Cloud model library based on V-shaped development test left shift of automobile electronic control software

Abstract

The invention relates to the technical field of automobile electronic control software development, and particularly discloses a cloud model library based on automobile electronic control software V-type development test left shift, which is called in the V-type development test left shift, and performs construction management, storage, application and change on a model at a cloud end. The construction management of the model comprises model basic information management and model release process management; the step of storing the model comprises the substeps of carrying out multi-level classified storage, label management, version management and security level management on the model; applying the model, including model retrieval query, model online preview and model reference; the step of changing the model comprises the substeps of auditing the model change application under a standard process, and updating or modifying the model after the auditing is passed. According to the method, the cloud model library is called in the V-type development test left shift, and the model is constructed, managed, stored, applied and changed at the cloud, so that the development speed and efficiency of the whole V process are improved, and the storage cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile electronic control software development, and in particular to a cloud model library based on V-shaped development and testing left shift of automobile electronic control software. Background Art

[0002] In the process of developing automotive electronic control units, a large number of related models are used. All models of traditional simulation platforms are stored locally, which is very inconvenient for engineers to use during the development process. At the same time, with the rise of big data and the improvement of computing power, the complexity and number of models are increasing rapidly, and traditional local storage methods are difficult to meet the needs.

[0003] To address this problem, the existing technical solution is model storage and management. The model library system in the simulation test platform also provides storage and management functions for vehicle models and test scenarios. These systems usually use databases or file systems to store model data and provide corresponding query, retrieval and modification functions so that users can quickly find the required model and conduct tests.

[0004] At the same time, the model library system in the simulation test platform also supports dynamic updating and expansion of models. With the continuous development of autonomous driving technology, new vehicle models and test scenarios continue to emerge. These systems ensure that the test team can always use the latest models for testing by regularly updating and expanding the model library, thereby improving the accuracy and effectiveness of the test.

[0005] However, existing model storage and management technologies have the following problems:

[0006] Limited storage and computing power: Due to the limitations of local storage and computing power, existing technologies have difficulty handling large-scale, highly complex vehicle models and test scenarios.

[0007] Reason: Local hardware resources are limited and cannot meet the growing data storage and computing needs.

[0008] Result: The test is inefficient and fails to fully cover all possible driving scenarios.

[0009] Difficulties in data sharing and collaborative development: Model library systems in existing technologies usually lack unified data interfaces and protocols, making it difficult to achieve data sharing and collaborative development.

[0010] Reason: The data formats and interfaces between different platforms are incompatible.

[0011] Result: It leads to waste of resources, difficulty in collaboration between different teams, and further reduction of testing efficiency.

[0012] Inconvenient model update and expansion: With the rapid development of autonomous driving technology, new vehicle models and test scenarios continue to emerge. The model library system in existing technologies is often difficult to update and expand quickly.

[0013] Reason: Updating and expanding the model library system usually requires complex operations and a lot of time.

[0014] Result: The testing team is unable to use the latest model for testing in a timely manner, affecting the accuracy and effectiveness of the test.

[0015] By centrally storing model resources on cloud servers and providing a unified interface and management platform, model storage, management, and calling become more efficient and convenient.

[0016] Cloud model library technology has the following technical advantages:

[0017] Centralized management: Cloud model library technology can centrally manage various models, including design models, business models, test models, etc., and uniformly store and manage them, making it convenient for developers and researchers to use and call them.

[0018] Scalability: Since it is deployed in the cloud, the model library technology has good scalability and can dynamically adjust computing resources according to demand to support the storage and operation of large-scale models.

[0019] Collaboration and sharing: Cloud model library technology promotes collaboration and sharing of model resources. Enterprises and research institutions can work together to develop, debug and optimize models on the same platform, accelerating the promotion of innovation and application.

[0020] In summary, cloud model library technology has become an important infrastructure to promote the development and application of various fields through its development history and technical characteristics, especially in the context of increasing big data and computing power.

[0021] Based on this technical background, the present invention studies a cloud-based model library based on V-shaped development and testing left shift of automotive electronic control software. Summary of the invention

[0022] In view of the deficiencies in the prior art, the present invention provides a cloud-based model library based on the V-shaped development and test left shift of automotive electronic control software. The cloud-based model library is called in the V-shaped development and test left shift, and the model is constructed, managed, stored, applied and changed in the cloud, thereby improving the development speed and efficiency of the overall V process. Due to the use of cloud computing technology, model data can be distributed and stored on multiple servers, avoiding the storage bottleneck of a single server. In addition, efficient storage also reduces storage costs, so that more model data can be stored and shared.

[0023] In order to achieve the above object, the present invention provides a cloud model library based on V-shaped development and testing left shift of automotive electronic control software, including:

[0024] The cloud model library is called in the V-shaped development and testing left shift, and the model is built, managed, stored, applied and changed in the cloud;

[0025] Model construction management includes model basic information management and model release process management;

[0026] Storing the model includes multi-level classification storage, tag management, version management, and confidentiality management;

[0027] Application of models includes model retrieval query, model online preview and model reference;

[0028] Making changes to the model includes reviewing the model change application under a standardized process, and updating or modifying the model once the review is passed.

[0029] The beneficial effects of the present invention include:

[0030] (1) The present invention proposes a cloud-based model library based on the V-shaped development and test left shift of automotive electronic control software. The cloud-based model library is called in the V-shaped development and test left shift, and the model is constructed, managed, stored, applied and changed in the cloud, thereby improving the development speed and efficiency of the overall V process. Due to the use of cloud computing technology, model data can be distributed and stored on multiple servers, avoiding the storage bottleneck of a single server. In addition, efficient storage also reduces storage costs, allowing more model data to be stored and shared.

[0031] (2) The present invention proposes a cloud-based model library based on the V-shaped development and testing left shift of automotive electronic control software, which can accelerate the simulation test process by utilizing the parallel computing and distributed processing capabilities of cloud computing. Through technical means such as real-time data analysis, it improves test efficiency, reduces test costs, shortens test cycles, and makes the development and testing of autonomous driving systems more efficient and reliable.

[0032] (3) The present invention proposes a cloud-based model library based on the V-shaped development and test left shift of automotive electronic control software. The design of the model library system architecture makes the update and expansion of the model simple and fast. Through functions such as version management, dependency management, and model merging, it can ensure that the test team always uses the latest model for testing, reducing the cost and time of model update and expansion.

[0033] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and other objects, features and advantages of the present invention will become more apparent through a more detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings.

[0035] Figure 1 A functional structure diagram of a specific implementation of a cloud-based model library based on V-shaped development and testing left shift of automotive electronic control software proposed by the present invention.

[0036] Figure 2 This is a schematic diagram of a model creation interface in a specific implementation of a cloud-based model library based on V-shaped development and testing left shift of automotive electronic control software proposed by the present invention.

[0037] Figure 3 This is a schematic diagram of a multi-level classification display interface of a model in a specific implementation of a cloud-based model library based on V-shaped development and testing left shift of automotive electronic control software proposed by the present invention.

[0038] Figure 4 A schematic diagram showing model query in a specific implementation of a cloud-based model library based on V-shaped development and testing left shift of automotive electronic control software proposed by the present invention.

[0039] Figure 5 A schematic diagram of a large V-shaped development process of a specific implementation of the test left-shift method for the V-shaped development process of automotive electronic control software proposed by the present invention.

[0040] Figure 6 This is a schematic diagram of a small V-shaped requirement analysis process in a specific implementation of the test left-shift method for the V-shaped development process of automotive electronic control software proposed by the present invention.

[0041] Figure 7 This is a schematic diagram of a small V-shaped system design process in a specific implementation of the test left-shift method for the V-shaped development process of automotive electronic control software proposed by the present invention.

[0042] Figure 8 This is a schematic diagram of the small V-shaped architecture design process in a specific implementation of the test left-shift method for the automotive electronic control software V-shaped development process proposed by the present invention.

[0043] Fig. 9 This is a schematic diagram of the small V-shaped module design process in a specific implementation of the test left-shift method for the automotive electronic control software V-shaped development process proposed by the present invention. DETAILED DESCRIPTION

[0044] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0045] The present invention provides a cloud model library based on V-shaped development and testing left shift of automotive electronic control software, such as Figure 1 As shown in the figure, the cloud model library is called in the V-shaped development and testing left shift, and the model is built, managed, stored, applied and changed in the cloud;

[0046] Model construction management includes model basic information management and model release process management;

[0047] Storing the model includes multi-level classification storage, tag management, version management, and confidentiality management;

[0048] Application of models includes model retrieval query, model online preview and model reference;

[0049] Making changes to the model includes reviewing the model change application under a standardized process, and updating or modifying the model once the review is passed.

[0050] In the present invention, the cloud model library is called in the V-shaped development and testing left shift, and the model is constructed, managed, stored, applied and changed in the cloud, thereby improving the development speed and efficiency of the overall V process. Due to the use of cloud computing technology, model data can be distributed and stored on multiple servers, avoiding the storage bottleneck of a single server. In addition, efficient storage also reduces storage costs, allowing more model data to be stored and shared.

[0051] According to the present invention, V-shaped development and testing shift left includes:

[0052] In the big V-shaped development process, system personnel or developers and testers jointly participate in each stage of requirement analysis, system design, architecture design and module design. Each stage forms its own small V-shaped process to carry out continuous integration and testing of the software to ensure that every change in the software development process can be verified and tested in a timely manner.

[0053] According to the present invention, model basic information management includes:

[0054] Set the model's unique code, intuitive name, specific model file, model icon description and parameter configuration;

[0055] Model release process management includes:

[0056] In the process, R&D personnel apply to release the model and provide complete model information and related data;

[0057] The R&D team leader reviews the model to check its completeness, correctness, and compliance with relevant standards and specifications;

[0058] The reviewed models will be published to the cloud model library for other users to review and use.

[0059] According to the present invention, multi-level classification storage of the model includes:

[0060] According to actual needs, models are classified and stored according to application fields, model types or custom classification methods to achieve refined management of models;

[0061] Tag management for models includes:

[0062] Add multiple tags to the model. Tags are keywords, application fields, or data sources that describe the model's characteristics.

[0063] In the present invention, the parallel computing and distributed processing capabilities of cloud computing are utilized to accelerate the simulation test process. Through technical means such as real-time data analysis, the test efficiency is improved, the test cost is reduced, and the test cycle is shortened, making the research and development and testing of the autonomous driving system more efficient and reliable.

[0064] According to the present invention, version management of the model includes:

[0065] Manage the model change history, including the content, time and information of each change, to help users understand the development history of the model and facilitate the model's backtracking and comparison;

[0066] Confidentiality management of models includes:

[0067] Set different access permissions for different models to limit the access and operation permissions of different users to ensure that sensitive model data will not be obtained or tampered with by unauthorized users, and to ensure the security and controllability of model data.

[0068] Preferably, the model retrieval query includes:

[0069] Accurately search for models by entering their code, name or tag information;

[0070] Browse according to the classification structure in the cloud, and search layer by layer according to different classification levels;

[0071] The online model preview includes:

[0072] Online visual preview of model files, no need to download files, directly view the appearance and internal structure of the model;

[0073] Through remote interactive operations, the model can be rotated, scaled, and moved online to better observe and analyze the model.

[0074] According to the present invention, a model reference includes:

[0075] In project tasks, directly reference models in the cloud model library and use them as part of the project;

[0076] When the cloud software calls the model, it references the model in the cloud model library;

[0077] Other functional modules expand their functions and application scope by referencing models in the cloud model library.

[0078] According to the present invention, under a standardized process, the review of the model change application includes:

[0079] Designers submit change requests through the model library management function;

[0080] Based on the change request, the auditor evaluates the rationality and necessity of the change, as well as the possible risks and impacts;

[0081] The change application includes the reason, purpose, scope of impact and specific content of the change.

[0082] According to the present invention, after the review is passed, updating or modifying the model includes:

[0083] After the review is passed, the designer will update or modify the model;

[0084] Publish updated or modified models to the model repository for others in your organization to view and use.

[0085] According to the present invention, if the audit fails, the designer reconsiders or adjusts the change plan, and the auditor re-evaluates the audit until the audit passes;

[0086] Change proposals include modifying the model's parameters, structure, or algorithms, or updating the model's documentation and instructions.

[0087] In the present invention, the design of the model library system architecture makes the update and expansion of the model simple and fast. Through functions such as version management, dependency management, and model merging, it can ensure that the test team always uses the latest model for testing, reducing the cost and time of model update and expansion.

[0088] The present invention will be described in more detail below by way of examples.

[0089] Embodiment 1:

[0090] like Figure 1 As shown, this embodiment proposes a cloud model library based on the V-shaped development and testing left shift of automotive electronic control software, which takes advantage of the cloud and is specifically used for the management, storage, application and change of models;

[0091] The model creation function can easily build and manage the basic information of the model; define the model's name, description, parameter configuration and other key information to ensure that the basic data of the model is accurate; the module also provides a model publishing process to ensure that the model undergoes strict review and testing before release to ensure its quality and reliability; through this function, high-quality models can be efficiently created and published, providing a solid foundation for subsequent model applications;

[0092] The model storage function implements multi-level classified storage of models, and can flexibly manage models according to actual needs. The module also supports model tag management, which can add multiple tags to the model for easy subsequent retrieval and query. The model version management function ensures that model changes can be traced, and each version of the model can be easily viewed and managed. In order to ensure the security of the model, the module also provides a model confidentiality management function, which can set different access rights for models of different levels to ensure the security and controllability of model data.

[0093] The model application function provides a variety of model usage methods; through the model search query function, you can quickly find the model that meets your needs; support the model online preview function, directly view the detailed information of the model online through the browser without downloading the model, improving the efficiency of use; the model reference function allows users to directly reference the existing models in the model library in the project, avoiding the tedious process of repeated modeling; the above functions together provide users with a convenient and efficient model application experience;

[0094] The model change function regulates and manages the change process of the model; when the model needs to be updated or modified, a change application is initiated through this function; the model library manager reviews the change application to ensure that the change process complies with the established specifications and processes; the model change function can ensure that the model change process is orderly and controllable, avoiding problems such as model quality degradation or data loss caused by arbitrary changes;

[0095] In this embodiment, the management, storage, application and modification of the model are described in detail as follows:

[0096] (1) Model creation:

[0097] The model creation function of the cloud model library is designed to efficiently and orderly build and manage models. It covers two parts: model basic information management and model publishing process, ensuring that every step from model creation to release is rigorous and efficient.

[0098] Model basic information management can set various attributes of the model in detail, including the model's unique code, intuitive name, specific model file, and model icon. Basic information helps to quickly identify and understand the model, providing a key basis for subsequent model retrieval and application. The model creation interface is shown below: Figure 2 As shown;

[0099] The model release process is an important part of ensuring model quality. In the process, R&D personnel apply to release the model. The application process requires R&D personnel to provide complete model information and necessary related data to ensure the accuracy and reliability of the model. The R&D team leader reviews the model to check its integrity, correctness, and compliance with relevant standards and specifications. Models that pass the review are officially released to the cloud model library for other users to review and use.

[0100] The model creation function can easily build and manage model resources to ensure the accuracy and reliability of the model; improve the efficiency and standardization of model release, and lay a solid foundation for subsequent model application and promotion; whether in scientific research or actual application scenarios, the model creation function of the cloud model library will play an important role in promoting the sharing and utilization of model resources;

[0101] (2) Model storage:

[0102] The model storage function of the cloud model library provides comprehensive, flexible and secure model storage; it not only ensures the orderly storage of model data, but also improves the efficiency of model retrieval and application;

[0103] The multi-level classification storage function of the model can store the model according to different categories according to actual needs; the multi-level classification method makes the organizational structure of the stored model clearer, and it is easy to browse and find the required model; it can be freely set according to the application field, model type or other customized classification methods according to needs to achieve refined management of the model. The model multi-level classification display interface is shown as follows Figure 3 As shown;

[0104] The model tag management function further enhances the model's retrieval capability; multiple tags can be added to the model, and the tags can be keywords, application fields, data sources, etc. that describe the model's characteristics; through tag management, you can quickly filter out qualified models based on tags, greatly improving the efficiency and accuracy of model retrieval;

[0105] The model version management function ensures that all changes to the model can be traced; with the continuous iteration and optimization of the model, different versions may be generated; through version management, the change history of the model can be clearly seen, including the content, time and changer of each change; it helps users understand the development process of the model and facilitates the backtracking and comparison of the model;

[0106] Model confidentiality management is an important means to ensure the security of model data. In the cloud model library, the security of model data is of vital importance. Through confidentiality management, different access permissions can be set for different models to limit the access and operation permissions of different users. This ensures that sensitive model data will not be obtained or tampered with by unauthorized users, effectively ensuring the security and controllability of model data.

[0107] The model storage function of the cloud model library provides a comprehensive, flexible and secure model storage solution through multi-level classification storage, tag management, version management and confidentiality management functions; it helps users to efficiently manage model resources and provides strong support for model retrieval, application and promotion;

[0108] (3) Model application:

[0109] The model application function of the cloud model library provides users with a convenient and efficient way to use models, so that model resources can give full play to their value; the function covers multiple aspects such as model retrieval query, model online preview and model reference, providing users with a full range of model application experience;

[0110] The model search and query function can quickly find the required model according to various conditions; you can enter the model code, name or label and other key information to perform accurate search; the cloud model library also supports browsing according to the classification structure, searching layer by layer according to different classification levels until the target model is found; flexible and diverse search methods improve the efficiency of users in finding models, and the model query display is as follows: Figure 4 As shown;

[0111] The model library management function supports online visual preview of model files, and the appearance and internal structure of the model can be directly viewed without downloading the file; this preview method not only saves time and space costs, but also improves the efficiency of model viewing; this function also supports remote interactive operations, and users can rotate, scale, move and perform other operations on the model online to better observe and analyze the model; through online preview, users can more intuitively understand the characteristics and performance of the model, providing strong support for subsequent model applications;

[0112] The model reference function can be applied in different scenarios. In project tasks, models in the cloud model library can be directly referenced and used as part of the project. When calling models, cloud software can also conveniently reference models in the model library to achieve software intelligence and automation. Other functional modules can also expand their functions and application scope by referencing models in the model library. Flexible reference methods enable model resources to be fully utilized in different scenarios and bring out greater value.

[0113] The model application function of the cloud model library provides a variety of convenient ways to use models and efficiently utilize model resources, which helps users to efficiently manage model resources and provides strong support for model retrieval, application and promotion;

[0114] (4) Model changes:

[0115] The model publishing and modification functions of the model library management are important links to ensure that the model maintains accuracy, consistency and effectiveness from the time the model is stored in the library to the time it is used;

[0116] With the development of business and the advancement of technology, models need to be changed to adapt to new needs or solve existing problems. The change function of the model follows the standardized change process to ensure that the change process is orderly and controllable. When changing the model, the designer submits a change application through the model library management function. The application needs to explain the reason, purpose, scope of impact and specific change content of the change. After the change application is submitted, the reviewer will evaluate the rationality and necessity of the change, as well as the possible risks and impacts. After approval, the designer will perform the model change operation. If not, the applicant will reconsider or adjust the change plan. After obtaining the change approval, the designer will perform the actual change operation on the model, including modifying the parameters, structure, algorithm, etc. of the model, or updating the model's documents and instructions. After the change is completed, the model needs to be reviewed by the reviewer again. The reviewer will check whether the changed model meets the requirements and whether there are potential problems or risks. If the review is passed, the model will be released. If not, the designer needs to make further adjustments or corrections. After the review is passed, the changed model will be republished to the model library. The released model will reflect the latest changes for other people in the organization to view and use.

[0117] Through a strict change process, the model library management function can ensure that the quality and accuracy of the model are effectively controlled, providing reliable support for the organization's decision-making; it helps to improve the efficiency of model use and user satisfaction, and promote the organization's business development and innovation.

[0118] In this embodiment, the cloud model library module provides designers with efficient, convenient and secure model management services by providing model creation, storage, application and change functions; through the cloud model library, model resources can be managed and used more efficiently and conveniently, promoting the continuous development of scientific research and innovation in the design of automotive electronic control units.

[0119] An embodiment of the present invention proposes a cloud model library based on the V-shaped development and test left shift of automotive electronic control software. The cloud model library is called in the V-shaped development and test left shift, and the model is constructed, managed, stored, applied and changed in the cloud, thereby improving the development speed and efficiency of the overall V process. Due to the use of cloud computing technology, model data can be distributed and stored on multiple servers, avoiding the storage bottleneck of a single server. In addition, efficient storage also reduces storage costs, allowing more model data to be stored and shared.

[0120] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A cloud model library based on V-shaped development and testing left shift of automotive electronic control software, characterized in that: The cloud model library is called in the V-shaped development and testing left shift, and the model is built, managed, stored, applied and changed in the cloud; Model construction management includes model basic information management and model release process management; Storing the model includes multi-level classification storage, tag management, version management, and confidentiality management; Application of models includes model retrieval query, model online preview and model reference; Making changes to the model includes reviewing the model change application under a standardized process, and updating or modifying the model once the review is passed.

2. The cloud model library according to claim 1, characterized in that: The V-shaped development and testing shift left includes: In the big V-shaped development process, system personnel or developers and testers jointly participate in each stage of requirement analysis, system design, architecture design and module design. Each stage forms its own small V-shaped process to carry out continuous integration and testing of the software to ensure that every change in the software development process can be verified and tested in a timely manner.

3. The cloud model library according to claim 1, characterized in that: The model basic information management includes: Set the model's unique code, intuitive name, specific model file, model icon description and parameter configuration; The model release process management includes: In the process, R&D personnel apply to release the model and provide complete model information and related data; The R&D team leader reviews the model to check its completeness, correctness, and compliance with relevant standards and specifications; The reviewed models will be published to the cloud model library for other users to review and use.

4. The cloud model library according to claim 1, characterized in that: Multi-level classification storage of models includes: According to actual needs, models are classified and stored according to application fields, model types or custom classification methods to achieve refined management of models; Tag management for models includes: Add multiple tags to the model, where the tags are keywords, application fields, or data sources that describe the model characteristics.

5. The cloud model library according to claim 1, characterized in that: Versioning of models includes: Manage the model change history, including the content, time and information of each change, to help users understand the development history of the model and facilitate the model's backtracking and comparison; Confidentiality management of models includes: Set different access permissions for different models to limit the access and operation permissions of different users to ensure that sensitive model data will not be obtained or tampered with by unauthorized users, and to ensure the security and controllability of model data.

6. The cloud model library according to claim 1, characterized in that: The model retrieval query includes: Accurately search for models by entering their code, name or tag information; Browse according to the classification structure in the cloud, and search layer by layer according to different classification levels; The online preview of the model includes: Online visual preview of model files, no need to download files, directly view the appearance and internal structure of the model; Through remote interactive operations, the model can be rotated, scaled, and moved online to better observe and analyze the model.

7. The cloud model library according to claim 1, characterized in that: The model reference includes: In project tasks, directly reference models in the cloud model library and use them as part of the project; When the cloud software calls the model, it references the model in the cloud model library; Other functional modules expand their functions and application scope by referencing models in the cloud model library.

8. The cloud model library according to claim 1, characterized in that: Under the standardized process, the review of model change applications includes: Designers submit change requests through the model library management function; Based on the change request, the auditor evaluates the rationality and necessity of the change, as well as the possible risks and impacts; The change application includes the reason, purpose, scope of impact and specific content of the change.

9. The cloud model library according to claim 8, characterized in that: Once the review is passed, updates or modifications to the model include: After the review is passed, the designer will update or modify the model; Publish updated or modified models to the model repository for others in your organization to view and use.

10. The cloud model library according to claim 8, characterized in that: If the review fails, the designer will reconsider or adjust the change plan, and the auditor will re-evaluate and review it until it passes; The change plan includes modifying the parameters, structure, algorithm of the model, or updating the documentation and description of the model.

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