CN115758782A - Cloud simulation test system and method - Google Patents
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Abstract
The application relates to a cloud simulation test system and a method, wherein the system comprises: the system comprises an infrastructure layer, a platform layer and a software application layer, wherein the infrastructure layer comprises a computing unit, a network unit and a storage unit, and is arranged at the bottom layer and used for constructing an infrastructure service pool based on the computing unit, the network unit and the storage unit; the platform layer is arranged on the upper layer of the infrastructure layer and used for selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers; the software application layer is arranged on the upper layer of the platform layer and used for calling different platform layers to perform simulation tests based on the received test cases, simulation scenes and test scripts of the automatic driving functions to be tested and generating test results of the automatic driving functions to be tested. Therefore, the problems that a physical terminal is low in calculation efficiency, high in operation and maintenance cost, prone to generating unexpected errors, complex and complex in test, single in evaluation standard and the like are solved, the simulation test performance is improved, and user experience is improved.
Description
Technical Field
The application relates to the technical field of vehicles, in particular to a cloud simulation test system and method.
Background
Before the automatic driving automobile is actually applied commercially, the commercial requirement can be met only through a large number of road tests, the time and cost consumed by optimizing an automatic driving algorithm by adopting the road tests are too high, the open road test is still limited by regulations, extreme traffic conditions and scenes are difficult to reappear, and potential hazards exist in the test safety; the traffic environments of all countries in the world are greatly different, a global universal industrial chain system is difficult to form, and the global development and technical breakthrough of the automatic driving industrial chain are faced with a plurality of practical problems due to the problems. Therefore, virtual simulation testing based on a scene library is a main route for solving the challenge of automatic driving research and development testing, and the testing efficiency is particularly important in the face of massive simulation scenes.
In the related technology, a virtual simulation test platform based on cloud platform deployment is built, and an efficient and safe closed-loop test verification tool is provided for an intelligent driving system through a digital model and a test scene library.
However, the simulation test system in the related art has the following problems: (1) the simulation test system is mainly deployed in the local, so that the calculation efficiency is low, and the operation and maintenance difficulty and the cost are high; (2) the deployment environment is complex, the learning cost before use is high, and large-scale popularization and use are difficult; (3) a perfect evaluation mechanism facing the automatic driving function is lacked; (4) the function of automatically simulating driver operation or vehicle state jumping by using a script in a simulation process is lacked; (5) the method is lack of on-line management tools for test cases, simulation scenes and test scripts, and needs to be solved urgently.
Disclosure of Invention
The application provides a cloud simulation test system and method, which aim to solve the problems of low computing efficiency of a physical terminal, high operation and maintenance cost, easiness in generating unexpected errors, complex and complicated test, single evaluation standard and the like, so that the simulation test performance is improved, and the user experience is improved.
An embodiment of a first aspect of the present application provides a cloud simulation test system, including:
the system comprises an infrastructure layer, a platform layer and a software application layer, wherein the infrastructure layer comprises a computing unit, a network unit and a storage unit;
the infrastructure layer is arranged at the bottom layer and used for constructing an infrastructure service pool based on the computing unit, the network unit and the storage unit;
the platform layer is arranged on the upper layer of the infrastructure layer and used for selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers;
the software application layer is arranged on the upper layer of the platform layer and used for calling different platform layers to perform simulation test based on the received test cases, simulation scenes and test scripts of the automatic driving functions to be tested and generating test results of the automatic driving functions to be tested.
According to the technical means, remote operation and monitoring can be achieved at the cloud end, the terminals are all virtual machines, and operation and management of users are facilitated.
Further, the platform layer, comprising:
the system comprises a K8S cluster management unit, a load monitoring unit, a container upgrading unit and a dynamic configuration unit, wherein a deployment operation strategy, a resource scheduling strategy, a service discovery strategy and/or a dynamic expansion strategy are provided for containerized application through the K8S cluster management unit, the load monitoring unit, the container upgrading unit and the dynamic configuration unit.
According to the technical means, on the basis of the Docker technology, a series of complete functions such as deployment operation, resource scheduling, service discovery, dynamic scaling and the like are provided for containerized application, and convenience in large-scale container cluster management is improved.
Further, the software application layer includes:
a visualization unit for providing a graphical user interface;
the task board unit is used for recording the statistical information of the simulation task, the simulation resource information, the use duration, the algorithm evaluation quality and/or the test case statistics;
the online simulation unit is used for accessing the cloud virtual machine so as to conveniently build a simulation scene and view simulation playback through a webpage;
the algorithm management unit is used for providing a mirror image warehouse for a user and manufacturing the algorithm software to be simulated and verified into a target algorithm mirror image based on a preset first containerization strategy;
and the evaluation management unit is used for manufacturing a preset evaluation index into an evaluation mirror image based on the preset second containerization strategy.
According to the technical means, the graphical user interface reduces the use threshold for the user, the operation is more humanized, and the cognitive burden of the user is reduced.
Further, the software application layer further includes:
the test case unit is used for generating a target test case after the user compiles according to the design document or the test requirement of the automatic driving system;
the test script unit is used for generating a target test script corresponding to the target test case;
the simulation scene unit is used for building a target simulation scene unit corresponding to the target test case on line through a cloud simulation system;
and the scene generalization unit is used for generalizing the target simulation scene to obtain a plurality of scenes of the same type as the target simulation scene.
According to the technical means, the cloud simulation architecture solves the problem of non-uniform running environment through a containerization technical mode, and avoids the generation of some unexpected errors.
Further, the software application layer further includes:
the task management unit is used for creating a simulation task;
the test report unit is used for generating a target test report according to the evaluation result;
the test label unit is used for retrieving the test case to be simulated through a preset label;
the data analysis unit is used for analyzing the signals generated in the simulation process to obtain an analysis result;
the log downloading unit is used for downloading the running data in the simulation process;
the account management unit is used for associating the collaborative account to acquire the organization information of the user through the collaborative account;
the authority configuration unit is used for setting corresponding use authority according to the identity of the user;
and the message center unit is used for sending the task progress to the preset mobile terminal.
According to the technical means, convenience is provided for users, and user experience is improved.
An embodiment of a second aspect of the present application provides a cloud simulation testing method, including the following steps:
building an infrastructure service pool based on the computing units, the network units and the storage units;
selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers; and
and calling the different platform layers to perform simulation test based on the received test case, simulation scene and test script of the automatic driving function to be tested, and generating a test result of the automatic driving function to be tested.
Further, the cloud simulation testing method further includes:
and providing a deployment operation strategy, a resource scheduling strategy, a service discovery strategy and/or a dynamic scaling strategy for the containerized application through the K8S cluster management unit, the load monitoring unit, the container upgrading unit and the dynamic configuration unit.
Further, the cloud simulation testing method further includes:
providing a graphical user interface through a visualization unit;
recording statistical information, simulation resource information, use duration, algorithm evaluation quality and/or test case statistics of the simulation task through a task board unit;
accessing a cloud virtual machine through an online simulation unit so as to conveniently build a simulation scene and view simulation playback through a webpage;
providing a mirror image warehouse for a user through an algorithm management unit, and manufacturing algorithm software to be simulated and verified into a target algorithm mirror image based on a preset first containerization strategy;
and manufacturing a preset evaluation index into an evaluation mirror image through an evaluation management unit based on the preset second containerization strategy.
Further, the cloud simulation testing method further includes:
generating a target test case by a test case unit after compiling based on a user design document or test requirements according to an automatic driving system;
generating a target test script corresponding to the target test case through a test script unit;
establishing a target simulation scene unit corresponding to the target test case on line through a simulation scene unit and a cloud simulation system;
and generalizing the target simulation scene through a scene generalization unit to obtain a plurality of same-type scenes which are the same as the target simulation scene.
Further, the cloud simulation test method further includes:
creating a simulation task through a task management unit;
generating a target test report according to the evaluation result through a test report unit;
retrieving the test case to be simulated through a preset label by a test label unit;
analyzing a signal generated in the simulation process through a data analysis unit to obtain an analysis result;
downloading running data in the simulation process through a log downloading unit;
associating a collaborative account through an account management unit to acquire organization information of the user through the collaborative account;
setting corresponding use permission according to the identity of the user through a permission configuration unit;
and sending the task progress to a preset mobile terminal through the message center unit.
Therefore, remote operation and monitoring are achieved at the cloud end through the cloud simulation test system, all terminals are virtual machines, and the infrastructure layer is used for building an infrastructure service pool based on the computing unit, the network unit and the storage unit; the platform layer is used for selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers; the software application layer is used for calling different platform layers to perform simulation test based on the received test case, simulation scene and test script of the automatic driving function to be tested, and generating a test result of the automatic driving function to be tested. Therefore, the problems that a physical terminal is low in calculation efficiency, high in operation and maintenance cost, prone to generating unexpected errors, complex and complicated in test, single in evaluation standard and the like are solved, so that simulation test performance is improved, and user experience is improved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic block diagram of a cloud simulation test system according to an embodiment of the present application;
FIG. 2 is a block diagram of a system architecture according to one embodiment of the present application;
fig. 3 is a schematic flow chart of a cloud simulation testing method according to an embodiment of the present application.
Description of reference numerals: the system comprises a 10-cloud simulation test system, a 100-basic service layer, a 200-platform layer, a 300-software application layer, a 101-computing unit, a 102-network unit, a 103-storage unit, a 201-K8S cluster management unit, a 202-load monitoring unit, a 203-container upgrading unit, a 204-dynamic configuration unit, a 301-visualization unit, a 302-task board unit, an 303-online simulation unit, a 304-algorithm management unit, a 305-evaluation management unit, a 306-test case unit, a 307-test script unit, a 308-simulation scenario unit, a 309-scenario generalization unit, a 310-task management unit, a 311-test report unit, a 312-test label unit, a 313-data analysis unit, a 314-log downloading unit, a 315-account management unit, a 316-permission configuration unit and a 317-message center unit.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The cloud simulation test system and method according to the embodiments of the present application are described below with reference to the drawings. In order to solve the problems that a physical terminal is low in computing efficiency, high in operation and maintenance cost, prone to generating unexpected errors, complex and complex in test, single in evaluation standard and the like in the background art, the application provides a cloud simulation test system, remote operation and monitoring are achieved at a cloud end through the cloud simulation test system, all terminals are virtual machines, and an infrastructure layer is used for building an infrastructure service pool based on a computing unit, a network unit and a storage unit; the platform layer is used for selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers; the software application layer is used for calling different platform layers to perform simulation test based on the received test case, simulation scene and test script of the automatic driving function to be tested, and generating a test result of the automatic driving function to be tested. Therefore, the problems that a physical terminal is low in calculation efficiency, high in operation and maintenance cost, prone to generating unexpected errors, complex and complex in test, single in evaluation standard and the like are solved, so that simulation test performance is improved, and user experience is improved.
Specifically, fig. 1 is a schematic block diagram of a cloud simulation test system according to an embodiment of the present disclosure.
It should be noted that the core business process of cloud simulation is to design a test case, a simulation scene and a test script based on the requirement of the autopilot function, integrate the test case, the simulation scene and the test script into a simulation environment to carry out verification on the autopilot control algorithm software, and finally give an evaluation result.
In order to meet the core Service requirements, the cloud simulation test system provided in the embodiment of the application is divided into an IaaS (Infrastructure-as-a-Service) layer, a PaaS (Platform as a Service) layer, and a SaaS (Software as a Service) layer.
Specifically, as shown in fig. 1, the cloud simulation test system includes: infrastructure layer 100, platform layer 200, and software application layer 300.
Wherein the infrastructure layer 100 comprises a computing unit 101, a network unit 102 and a storage unit 103;
the infrastructure layer 100 is arranged at the bottom layer and is used for constructing an infrastructure service pool based on the computing unit 101, the network unit 102 and the storage unit 103;
the platform layer 200 is arranged on the upper layer of the infrastructure layer 100 and used for selecting resources from an infrastructure service pool through an Application Programming Interface (API) to build different platform layers;
the software application layer 300 is disposed on the upper layer of the platform layer 200, and is configured to call different platform layers to perform a simulation test based on the received test case, simulation scenario, and test script of the to-be-tested autopilot function, and generate a test result of the to-be-tested autopilot function.
Wherein, the IaaS layer is an infrastructure layer 100, which is composed of computing, network and storage resources, and can select a mature scheme of a cloud service provider; the PaaS layer is a platform layer 200 and is formed by K8S cluster management, load monitoring, container upgrading and dynamic configuration; the SaaS service layer is a software application layer 300, which contains a number of software services.
Further, in some embodiments, the platform tier 200, comprises: the K8S cluster management unit 201, the load monitoring unit 202, the container upgrading unit 203, and the dynamic configuration unit 204 are configured to provide a deployment operation policy, a resource scheduling policy, a service discovery policy, and/or a dynamic scaling policy for the containerized application through the K8S cluster management unit 201, the load monitoring unit 202, the container upgrading unit 203, and the dynamic configuration unit 204.
The K8S is a Google open-source container cluster management system, a series of complete functions such as deployment and operation, resource scheduling, service discovery and dynamic expansion are provided for containerized applications on the basis of a Docker technology, and convenience of large-scale container cluster management is improved.
Further, in some embodiments, the software application layer 300, includes: a visualization unit 301 for providing a graphical user interface; the task board unit 302 is used for recording statistical information of the simulation task, simulation resource information, use duration, algorithm evaluation quality and/or test case statistics; the online simulation unit 303 is configured to access a cloud virtual machine, so as to conveniently build a simulation scene and view simulation playback through a webpage; the algorithm management unit 304 is used for providing a mirror image warehouse for a user, and manufacturing the algorithm software to be simulated and verified into a target algorithm mirror image based on a preset first containerization strategy; and the evaluation management unit 305 is used for making the preset evaluation index into an evaluation mirror image based on the preset second containerization strategy.
It can be understood that the design of the graphical user interface reduces the use threshold for the user, the operation is more humanized, the cognitive burden of the user is reduced, and the graphical user interface is more suitable for the operation requirement of the user.
Further, in some embodiments, the software application layer 300 further includes: the test case unit 306 is used for generating a target test case after compiling according to the design document or the test requirement of the automatic driving system based on a user; a test script unit 307 for generating a target test script corresponding to the target test case; the simulation scene unit 308 is used for building a target simulation scene unit corresponding to the target test case on line through the cloud simulation system; and a scene generalization unit 309, configured to generalize the target simulation scene to obtain multiple scenes of the same type as the target simulation scene.
Specifically, in the embodiment of the present application, the test script unit 307 provides a tool for a user to perform an interactive function test with an algorithm, and can simulate a driver operation, a vehicle body signal, a fault signal, and the like through a script and establish an association relationship with a test case; the scene generalization unit 309 can implement statistical methods such as mean generalization, monte carlo sampling, latin hypercube, and the like, and traverse some scene parameters in a basic scene to generate a large amount of scenes of the same type.
Further, in some embodiments, the software application layer 300 further includes: a task management unit 310 for creating a simulation task; the test report unit 311 is configured to generate a target test report according to an evaluation result; a test tag unit 312, configured to retrieve a test case to be simulated through a preset tag; the data analysis unit 313 is used for analyzing the signals generated in the simulation process to obtain an analysis result; a log downloading unit 314, configured to download running data in the simulation process; the account management unit 315 is configured to associate the collaborative account to obtain organization information of the user through the collaborative account; the authority configuration unit 316 is configured to set a corresponding use authority according to the identity of the user; and the message center unit 317 is used for sending the task progress to the preset mobile terminal.
Specifically, in the embodiment of the present application, the task management unit 310 provides a way for a user to select a test case or a suite, so that the user can quickly create a simulation task; the preset label in the test label unit 312 may be a user-defined attribute preset for the test case by the user, so that the user can quickly retrieve the case to be simulated through the label; the log downloading unit 314 provides the functions of downloading algorithm logs, downloading simulation running logs and downloading evaluation logs for a user, so that the user can quickly locate problems through logs and can also use data reinjection to reproduce problems locally; the account management unit 315 may associate the enterprise collaboration account, and a user may obtain personal organization information through login of the collaboration account; the message center unit 317 may notify the user of the latest task progress through mail, instant messaging software, or the like.
According to the cloud simulation test system provided by the embodiment of the application, remote operation and monitoring are realized at the cloud end through the cloud simulation test system, and all terminals are virtual machines, wherein an infrastructure layer is used for constructing an infrastructure service pool based on a computing unit, a network unit and a storage unit; the platform layer is used for selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers; the software application layer is used for calling different platform layers to perform simulation test based on the received test case, simulation scene and test script of the automatic driving function to be tested, and generating a test result of the automatic driving function to be tested. Therefore, the problems that a physical terminal is low in calculation efficiency, high in operation and maintenance cost, prone to generating unexpected errors, complex and complicated in test, single in evaluation standard and the like are solved, so that simulation test performance is improved, and user experience is improved.
Next, a cloud simulation test method proposed according to an embodiment of the present application is described with reference to the drawings.
Fig. 3 is a schematic flow chart of a cloud simulation testing method according to an embodiment of the present application.
As shown in fig. 3, the cloud simulation test method includes the following steps:
in step S301, an infrastructure service pool is constructed based on the computing unit, the network unit and the storage unit.
The infrastructure layer is composed of three units of computing, network and storage resources, and can select a mature scheme of a cloud service provider.
In step S302, resources are selected from the infrastructure service pool through the API to build different platform layers.
Further, in some embodiments, based on the cloud simulation test method, the method further includes: and providing a deployment operation strategy, a resource scheduling strategy, a service discovery strategy and/or a dynamic scaling strategy for the containerized application through the K8S cluster management unit, the load monitoring unit, the container upgrading unit and the dynamic configuration unit.
Further, in some embodiments, the cloud simulation testing method further includes: providing a graphical user interface through a visualization unit; recording statistical information, simulation resource information, use duration, algorithm evaluation quality and/or test case statistics of the simulation task through a task board unit; accessing a cloud virtual machine through an online simulation unit so as to conveniently build a simulation scene and view simulation playback through a webpage; providing a mirror image warehouse for a user through an algorithm management unit, and manufacturing algorithm software to be simulated and verified into a target algorithm mirror image based on a preset first containerization strategy; and making a preset evaluation index into an evaluation mirror image through an evaluation management unit based on a preset second containerization strategy.
Further, in some embodiments, the cloud simulation testing method further includes: generating a target test case by a test case unit after compiling based on a user design document or test requirements according to an automatic driving system; generating a target test script corresponding to the target test case through a test script unit; establishing a target simulation scene unit corresponding to the target test case on line through a simulation scene unit and a cloud simulation system; and (4) flooding the target simulation scene through the scene generalization unit to obtain a plurality of scenes of the same type as the target simulation scene.
Further, in some embodiments, the cloud simulation testing method further includes: creating a simulation task through a task management unit; generating a target test report according to the evaluation result through a test report unit; retrieving a test case to be simulated through a preset label by a test label unit; analyzing a signal generated in the simulation process through a data analysis unit to obtain an analysis result; downloading running data in the simulation process through a log downloading unit; associating the collaborative account through an account management unit to acquire organization information of the user through the collaborative account; setting corresponding use permission according to the identity of the user through a permission configuration unit; and sending the task progress to a preset mobile terminal through the message center unit.
In step S303, based on the received test case, simulation scenario, and test script of the to-be-tested autopilot function, different platform layers are called to perform a simulation test, and a test result of the to-be-tested autopilot function is generated.
According to the cloud simulation test method provided by the embodiment of the application, remote operation and monitoring are realized at the cloud end through the cloud simulation test system, and all terminals are virtual machines, and the method comprises the following steps: the method comprises the steps of constructing an infrastructure service pool based on a computing unit, a network unit and a storage unit, selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers, calling the different platform layers to perform simulation test based on received test cases, simulation scenes and test scripts of the automatic driving functions to be tested, and generating test results of the automatic driving functions to be tested. Therefore, the problems that a physical terminal is low in calculation efficiency, high in operation and maintenance cost, prone to generating unexpected errors, complex and complex in test, single in evaluation standard and the like are solved, so that simulation test performance is improved, and user experience is improved.
In the description of the present specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
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 N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application 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 implementing the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a programmable gate array, a field programmable gate array, or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware that is related to instructions of a program, and the program may be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A cloud simulation test system, comprising:
the system comprises an infrastructure layer, a platform layer and a software application layer, wherein the infrastructure layer comprises a computing unit, a network unit and a storage unit;
the infrastructure layer is arranged at the bottom layer and used for constructing an infrastructure service pool based on the computing unit, the network unit and the storage unit;
the platform layer is arranged on the upper layer of the infrastructure layer and used for selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers;
the software application layer is arranged on the upper layer of the platform layer and used for calling different platform layers to perform simulation tests based on received test cases, simulation scenes and test scripts of the automatic driving functions to be tested and generating test results of the automatic driving functions to be tested.
2. The system of claim 1, wherein the platform layer comprises:
the system comprises a K8S cluster management unit, a load monitoring unit, a container upgrading unit and a dynamic configuration unit, wherein a deployment operation strategy, a resource scheduling strategy, a service discovery strategy and/or a dynamic expansion strategy are provided for containerized application through the K8S cluster management unit, the load monitoring unit, the container upgrading unit and the dynamic configuration unit.
3. The system of claim 2, wherein the software application layer comprises:
a visualization unit for providing a graphical user interface;
the task board unit is used for recording the statistical information of the simulation task, the simulation resource information, the use duration, the algorithm evaluation quality and/or the test case statistics;
the online simulation unit is used for accessing the cloud virtual machine so as to conveniently build a simulation scene and check simulation playback through a webpage;
the algorithm management unit is used for providing a mirror image warehouse for a user and manufacturing the algorithm software to be simulated and verified into a target algorithm mirror image based on a preset first containerization strategy;
and the evaluation management unit is used for manufacturing a preset evaluation index into an evaluation mirror image based on the preset second containerization strategy.
4. The system of claim 3, wherein the software application layer further comprises:
the test case unit is used for generating a target test case after the user compiles according to the design document or the test requirement of the automatic driving system;
the test script unit is used for generating a target test script corresponding to the target test case;
the simulation scene unit is used for building a target simulation scene unit corresponding to the target test case on line through a cloud simulation system;
and the scene generalization unit is used for generalizing the target simulation scene to obtain a plurality of scenes of the same type as the target simulation scene.
5. The system of claim 4, wherein the software application layer further comprises:
the task management unit is used for creating a simulation task;
the test report unit is used for generating a target test report according to an evaluation result;
the test label unit is used for retrieving the test case to be simulated through a preset label;
the data analysis unit is used for analyzing the signals generated in the simulation process to obtain an analysis result;
the log downloading unit is used for downloading the running data in the simulation process;
the account management unit is used for associating the collaborative account to acquire the organization information of the user through the collaborative account;
the authority configuration unit is used for setting corresponding use authority according to the identity of the user;
and the message center unit is used for sending the task progress to the preset mobile terminal.
6. A cloud simulation test method using the cloud simulation test system according to any one of claims 1 to 5, the method comprising the steps of:
building an infrastructure service pool based on the computing units, the network units and the storage units;
selecting resources from the infrastructure service pool through an Application Programming Interface (API) to build different platform layers; and
and calling the different platform layers to perform simulation test based on the received test case, simulation scene and test script of the automatic driving function to be tested, and generating a test result of the automatic driving function to be tested.
7. The method of claim 6, further comprising:
a deployment operation strategy, a resource scheduling strategy, a service discovery strategy and/or a dynamic scaling strategy are provided for containerized application through a K8S cluster management unit, a load monitoring unit, a container upgrading unit and a dynamic configuration unit.
8. The method of claim 7, further comprising:
providing a graphical user interface through a visualization unit;
recording statistical information, simulation resource information, use duration, algorithm evaluation quality and/or test case statistics of the simulation task through a task board unit;
accessing a cloud virtual machine through an online simulation unit so as to conveniently build a simulation scene and view simulation playback through a webpage;
providing a mirror image warehouse for a user through an algorithm management unit, and manufacturing algorithm software to be simulated and verified into a target algorithm mirror image based on a preset first containerization strategy;
and making a preset evaluation index into an evaluation mirror image through an evaluation management unit based on the preset second containerization strategy.
9. The method of claim 8, further comprising:
generating a target test case by a test case unit after compiling the target test case based on a user according to a design document or a test requirement of the automatic driving system;
generating a target test script corresponding to the target test case through a test script unit;
establishing a target simulation scene unit corresponding to the target test case on line through a simulation scene unit and a cloud simulation system;
and generalizing the target simulation scene through a scene generalization unit to obtain a plurality of scenes of the same type, which are the same as the target simulation scene.
10. The method of claim 9, further comprising:
creating a simulation task through a task management unit;
generating a target test report according to the evaluation result through a test report unit;
retrieving the test case to be simulated through a preset label by a test label unit;
analyzing a signal generated in the simulation process through a data analysis unit to obtain an analysis result;
downloading running data in the simulation process through a log downloading unit;
associating a collaborative account through an account management unit to acquire organization information of the user through the collaborative account;
setting corresponding use permission according to the identity of the user through a permission configuration unit;
and sending the task progress to a preset mobile terminal through the message center unit.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116527536A (en) * | 2023-04-28 | 2023-08-01 | 北京永信至诚科技股份有限公司 | Test evaluation method, device and system based on parallel simulation |
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| CN116527536A (en) * | 2023-04-28 | 2023-08-01 | 北京永信至诚科技股份有限公司 | Test evaluation method, device and system based on parallel simulation |
| CN116527536B (en) * | 2023-04-28 | 2024-04-09 | 北京永信至诚科技股份有限公司 | Test evaluation method, device and system based on parallel simulation |
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