CN115268964A - Data reinjection method and system, electronic device and readable storage medium - Google Patents
Data reinjection method and system, electronic device and readable storage medium Download PDFInfo
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Abstract
The invention provides a data reinjection method, a system, electronic equipment and a readable storage medium, which comprises the steps of firstly obtaining intelligent driving data to be processed, then responding to a target operation instruction, and generating a data reinjection test task based on a response result; calling the intelligent driving data to be processed according to the data reinjection task, and reinjecting the data reinjection task and the intelligent driving data to be processed to intelligent driving software; and finally, controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and outputting a simulation test verification result. According to the intelligent driving software development testing method and system, intelligent driving data are utilized and are reinjected to the intelligent driving software, so that the remote online management of the task result of the client equipment can be tested, the use efficiency of the data, the software testing verification efficiency and the safety and reliability can be improved, the intelligent driving software development testing verification efficiency is greatly improved, the development period can be shortened, and the intelligent driving software upgrading iteration frequency is improved.
Description
Technical Field
The application relates to the technical field of intelligent driving, in particular to a data reinjection method, a data reinjection system, electronic equipment and a readable storage medium.
Background
With the advent of the software-defined automobile age, the iteration cycle of the whole automobile product and the intelligent driving function is shorter and shorter, the intelligent driving integration function is increased, and the problems that how to improve the development and verification efficiency of the intelligent driving function, how to cover the actual road traffic scene as much as possible to reduce the long tail effect and how to shorten the development cycle become urgent need to be solved in the development process of the intelligent driving automobile are solved.
Although, in the existing literature, scene data is used for multiple times, and multiple rounds of iterative tests are performed on an ADAS (Advanced Driving Assistance System, ADAS for short) algorithm by using the same data, so that the use efficiency and the simulation value of the data are improved. However, these prior documents do not relate to mechanisms such as controller-in-loop, rack cluster, remote online task management, remote online device management, user authority management, data center, and the like, and have little support effect on subsequent multi-user multi-test task remote online processing and efficiency improvement.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present application provides a data reinjection method, system, electronic device and readable storage medium to solve the above technical problems.
The application provides a data reinjection method, which comprises the following steps:
acquiring to-be-processed intelligent driving data, wherein the to-be-processed intelligent driving data comprises intelligent driving data detected in advance or in real time;
responding to the target operation instruction, and generating a data reinjection test task based on a response result; the target operation instruction comprises an externally input operation instruction;
calling the intelligent driving data to be processed according to the data reinjection task, and reinjecting the data reinjection task and the intelligent driving data to be processed to intelligent driving software;
and controlling the intelligent driving software to carry out simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and outputting a simulation test verification result.
In an embodiment of the application, after controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, the method further includes:
updating the intelligent driving software, and adjusting the software name, the software version uploading date and/or the software updating description of the intelligent driving software;
and carrying out simulation test verification on the intelligent driving data to be processed by utilizing the adjusted intelligent driving software.
In an embodiment of the present application, after acquiring the pre-detected or real-time detected intelligent driving data, the method further includes:
preprocessing intelligent driving data detected in advance or in real time to generate the intelligent driving data to be processed;
wherein the pre-treatment comprises at least one of: data cleaning, data classification storage, data indexing and data distribution.
In an embodiment of the present application, before responding to the target operation instruction, the method further includes:
receiving a target operation executed by a target object on a client, and generating a target operation instruction corresponding to the target operation based on the client;
wherein the target operation comprises at least one of: the method comprises the following steps of software downloading operation, software uploading and flashing operation, software deleting operation, software viewing operation, data screening operation, data set creating operation, data set deleting operation, data set viewing operation, intelligent driving software version updating operation, data reinjection test task initiating operation, data reinjection test task canceling operation, data reinjection state monitoring operation and data reinjection result obtaining operation.
The application also provides a data reinjection system, which comprises:
the data center station is used for storing the intelligent driving data to be processed, and the intelligent driving data to be processed comprises intelligent driving data detected in advance or detected in real time;
the client is used for responding to the target operation instruction and generating a data reinjection test task based on a response result; the target operation instruction comprises an externally input operation instruction;
the server is used for calling the intelligent driving data to be processed according to the data reinjection task and reinjecting the data reinjection task and the intelligent driving data to be processed to the rack;
and the rack is used for providing intelligent driving software, controlling the intelligent driving software to carry out simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and feeding back a simulation test verification result to the server or the client.
In an embodiment of the present application, the server includes:
the equipment management unit is used for managing and monitoring the client, receiving target operation executed by a target object on the client by using a hypertext transfer protocol or a hypertext transfer similar protocol, and performing remote connection control with the rack in a remote desktop connection mode;
the file management unit is used for updating the intelligent driving software and adjusting the software name, the software version uploading date and/or the software updating description of the intelligent driving software;
the test case management unit is used for calling the intelligent driving data to be processed according to the scene corresponding to the data reinjection test task and transmitting the called intelligent driving data to be processed to the rack;
the task management unit is used for carrying out priority configuration on the data reinjection test task and transmitting the data reinjection test task after the priority configuration is finished to the rack;
and the statistical analysis unit is used for counting the execution state of the data reinjection test task according to the simulation test verification result.
In an embodiment of the present application, the server further includes:
the authority management unit is used for carrying out authority management on the target object and the project user group according to the preset project requirements;
and the network service unit is used for providing a remote page access page so as to enable the external terminal equipment to remotely access the server.
In an embodiment of the present application, before the client responds to the target operation instruction, the method further includes:
receiving target operation which is input by a target object and needs to be executed, and generating a target operation instruction corresponding to the target operation;
wherein the target operation comprises at least one of: the method comprises the following steps of software downloading operation, software uploading and flashing operation, software deleting operation, software checking operation, data screening operation, data set creating operation, data set deleting operation, data set checking operation, intelligent driving software version updating operation, data reinjection test task initiating operation, data reinjection test task canceling operation, data reinjection state monitoring operation and data reinjection result acquiring operation.
The present application further provides an electronic device, the electronic device including:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the electronic device to implement a data reinjection method as claimed in any one of the above.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform a data reinjection method as in any one of the above.
As described above, the present application provides a data reinjection method, system, electronic device, and readable storage medium, which have the following beneficial effects:
the method comprises the steps of firstly obtaining intelligent driving data to be processed, responding to a target operation instruction, and generating a data reinjection test task based on a response result; calling the intelligent driving data to be processed according to the data reinjection task, and reinjecting the data reinjection task and the intelligent driving data to be processed to intelligent driving software; and finally, controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and outputting a simulation test verification result. Therefore, the intelligent driving software development testing and verifying method and device have the advantages that the intelligent driving data are utilized and are reinjected to the intelligent driving software, so that the remote online management of the task result of the client equipment can be tested, the use efficiency of the data, the software testing and verifying efficiency and the safety and reliability can be improved, the intelligent driving software development testing and verifying efficiency is greatly improved, the development period can be shortened, and the upgrading iteration frequency of the intelligent driving software is improved. The method is equivalent to the method for establishing the traffic road actual measurement database through the intelligent driving data detected in advance or in real time, so that the adaptability and reliability of each iterative update of the algorithm in the intelligent driving software to the scene can be rapidly verified; therefore, the solution effect of the upgraded intelligent driving software on problem scenes and failure scenes is quickly verified; the danger of using the actual vehicle test and the vehicle use cost are reduced, and meanwhile, the time of developers can be saved. Therefore, the method and the device can improve the stability and reliability of the automatic driving performance, gradually enlarge the boundary of the automatic driving scene, and achieve the unmanned function experience exceeding that of a human driver.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a schematic diagram of an exemplary system architecture to which aspects of one or more embodiments of the present application may be applied;
fig. 2 is a schematic flow chart of a data reinjection method according to an embodiment of the present application;
FIG. 3 is a diagram illustrating ADAS software management provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of test case management according to an embodiment of the present application;
FIG. 5 is a functional diagram of a refill rack client management system provided in an embodiment of the present application;
FIG. 6 is a block diagram of a data reinjection system according to an embodiment of the present application;
FIG. 7 is a block diagram of a server according to an embodiment of the present application;
fig. 8 is a hardware configuration diagram of an electronic device suitable for implementing one or more embodiments of the present application.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the disclosure herein, wherein the embodiments of the present invention are described in detail with reference to the accompanying drawings and preferred embodiments. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than being drawn according to the number, shape and size of the components in actual implementation, and the type, amount and proportion of each component in actual implementation can be changed freely, and the layout of the components can be more complicated.
In the following description, numerous details are set forth to provide a more thorough explanation of embodiments of the present invention, however, it will be apparent to one skilled in the art that embodiments of the present invention may be practiced without these specific details, and in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring embodiments of the present invention.
A rack: namely a test bench, which requires different technical support systems for different equipment.
Fig. 1 shows a schematic diagram of an exemplary system architecture to which technical solutions in one or more embodiments of the present application may be applied. As shown in fig. 1, system architecture 100 may include a terminal device 110, a network 120, and a server 130. The terminal device 110 may include various electronic devices such as a smart phone, a tablet computer, a notebook computer, and a desktop computer. The server 130 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud computing services. Network 120 may be a communication medium of various connection types capable of providing a communication link between terminal device 110 and server 130, such as a wired communication link or a wireless communication link.
The system architecture in the embodiments of the present application may have any number of terminal devices, networks, and servers, according to implementation needs. For example, the server 130 may be a server group composed of a plurality of server devices. In addition, the technical solution provided in the embodiment of the present application may be applied to the terminal device 110, or may be applied to the server 130, or may be implemented by both the terminal device 110 and the server 130, which is not particularly limited in this application.
In an embodiment of the present application, the terminal device 110 or the server 130 of the present application may first obtain the intelligent driving data to be processed, then respond to the target operation instruction, and generate a data reinjection test task based on the response result; calling the intelligent driving data to be processed according to the data reinjection task, and reinjecting the data reinjection task and the intelligent driving data to be processed to the intelligent driving software; and finally, controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and outputting a simulation test verification result. By utilizing the terminal device 110 or the server 130 to execute the data reinjection method, the intelligent driving data can be reinjected to the intelligent driving software by utilizing the intelligent driving data, so that the remote online management of the task result of the client device can be tested, the use efficiency of the data, the software testing and verifying efficiency and the safety and reliability can be improved, the intelligent driving software development testing and verifying efficiency is greatly improved, the development period can be shortened, and the upgrading iteration frequency of the intelligent driving software is improved. Equivalently, a traffic road actual measurement database is established through intelligent driving data detected in advance or in real time, so that the adaptability and reliability of each iterative update of the algorithm in the intelligent driving software to the scene can be rapidly verified; therefore, the solution effect of the upgraded intelligent driving software on problem scenes and failure scenes is quickly verified; the danger of using the actual vehicle test and the vehicle use cost are reduced, and meanwhile, the time of developers can be saved. Therefore, the data reinjection method is executed by using the terminal device 110 or the server 130, so that not only can the stability and reliability of the automatic driving performance be improved, and the automatic driving scene boundary be gradually enlarged, but also the unmanned functional experience beyond that of a human driver can be realized.
The above section describes the content of an exemplary system architecture to which the technical solution of the present application is applied, and then the data reinjection method of the present application is continuously described.
Fig. 2 shows a schematic flow chart of a data reinjection method according to an embodiment of the present application. Specifically, in an exemplary embodiment, as shown in fig. 2, the present embodiment provides a data reinjection method, which includes the steps of:
s210, acquiring to-be-processed intelligent driving data, wherein the to-be-processed intelligent driving data comprises intelligent driving data detected in advance or in real time;
s220, responding to the target operation instruction, and generating a data reinjection test task based on a response result; the target operation instruction comprises an externally input operation instruction;
s230, calling the intelligent driving data to be processed according to the data reinjection task, and reinjecting the data reinjection task and the intelligent driving data to be processed to intelligent driving software;
s240, controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and outputting a simulation test verification result.
Therefore, the intelligent driving data are utilized and reinjected to the intelligent driving software, so that the remote online management of the task result of the client equipment can be tested, the use efficiency of the data, the software testing and verifying efficiency and the safety and reliability can be improved, the intelligent driving software development testing and verifying efficiency is greatly improved, the development period can be shortened, and the upgrading and iteration frequency of the intelligent driving software is improved. The method is equivalent to the method that the traffic road actual measurement database is established through the intelligent driving data detected in advance or in real time, so that the adaptability and reliability of the iterative updating of each algorithm in the intelligent driving software to the scene can be verified quickly; therefore, the solution effect of the upgraded intelligent driving software on problem scenes and failure scenes is quickly verified; the danger of using the actual vehicle test and the vehicle use cost are reduced, and meanwhile, the time of developers can be saved. Therefore, the present embodiment can not only improve the stability and reliability of the automatic driving performance, gradually expand the boundary of the automatic driving scene, but also realize the unmanned function experience beyond the human driver.
According to the above description, in an exemplary embodiment, after controlling the intelligent driving software to perform simulation test verification on the to-be-processed intelligent driving data according to the data reinjection task, the method may further include: updating the intelligent driving software, and adjusting the software name, the software version uploading date and/or the software updating description of the intelligent driving software; and carrying out simulation test verification on the intelligent driving data to be processed by utilizing the adjusted intelligent driving software. Therefore, the intelligent driving software can be updated, and then the intelligent driving data to be processed is reinjected to the updated intelligent driving software, so that the updated intelligent driving software can be subjected to simulation test verification, the development period of the intelligent driving software is shortened, and the upgrade iteration frequency of the intelligent driving software is improved. Meanwhile, the adaptability and reliability of each iterative update of the algorithm in the intelligent driving software to the scene can be rapidly verified; therefore, the solution effect of the upgraded intelligent driving software on problem scenes and failure scenes is quickly verified; the danger of using the actual vehicle test and the vehicle use cost are reduced, and the time of developers is saved.
According to the above, in an exemplary embodiment, after acquiring the smart driving data detected in advance or detected in real time, the method may further include: preprocessing intelligent driving data detected in advance or in real time to generate the intelligent driving data to be processed; wherein the pre-treatment comprises at least one of: data cleaning, data classification storage, data indexing and data distribution. According to the intelligent driving data pre-processing method and device, pre-processing or real-time detection is carried out on the intelligent driving data, the intelligent driving data can be preliminarily screened, some unnecessary data are removed, and therefore occupation of memory resources and computing resources is reduced. Meanwhile, the preprocessed intelligent driving data are convenient for the server to directly call, and therefore the service efficiency of the intelligent driving data is improved.
According to the above, in an exemplary embodiment, before responding to the target operation instruction, the method may further include: receiving a target operation executed by a target object on a client, and generating a target operation instruction corresponding to the target operation based on the client; wherein the target operation comprises at least one of: the method comprises the following steps of software downloading operation, software uploading and flashing operation, software deleting operation, software viewing operation, data screening operation, data set creating operation, data set deleting operation, data set viewing operation, intelligent driving software version updating operation, data reinjection test task initiating operation, data reinjection test task canceling operation, data reinjection state monitoring operation and data reinjection result obtaining operation.
When the target object executes the target operation on the client, the target object can also input operation information on the client at the same time, then the client can generate a corresponding target operation instruction according to the target operation executed by the target object and the input operation information, and after the target operation instruction is responded, the client can also output and display a corresponding result, so that the target object can be conveniently checked. Specifically, as shown in fig. 3, the target object may execute a software downloading action on the client, and may input operation information such as a software downloading path, a software name, a software version uploading date, and a software updating description, the client may generate a corresponding target operation instruction according to a target operation executed by the target object and the input operation information, and after the target operation instruction is responded, the client may output and display information such as a software downloading state and a software version table, and may also display a description including an updated software version table. Similarly, the target object may perform a software upload-write operation, a software delete operation, and a software check operation on the client, and may also input related operation information at the same time, and the specific implementation process thereof is described with reference to fig. 3 and the above description, which is not described herein again. In the method, the target object can be a user, can also be a development tester of intelligent driving software, and can also be other personnel with permission to operate.
A target object executes a test case management action on a client as shown in fig. 4, the target object may execute a data set creation action on the client, and may input operation information such as a data set name, creation time, a data set description, and a data set label, the client may generate a corresponding target operation instruction according to a target operation executed by the target object and the input operation information, and after the target operation instruction is responded, the client may output information such as display data set related information, a data set creation state (success, failure, and status code), and when a newly created data set name overlaps with an existing data set name, may output a prompt to prompt whether replacement or renaming is needed; a description including updating the dataset table is also displayed. Similarly, the target object may perform a data screening operation, a data set deleting operation, and a data set viewing operation on the client, and may also input related operation information, and the specific implementation process thereof is described with reference to fig. 4 and the above description, which is not described herein again.
Target object performs client management action on client as shown in fig. 5, the target object may perform system software version update operation on the client, and may input operation information such as desktop PC (Personal Computer, PC for short) end annotation tool software or ADAS software, and the client may generate a corresponding target operation instruction according to the target operation performed by the target object and the input operation information, and after the target operation instruction is responded, the client may display a software flashing state (success, failure, status code). Similarly, the target object may perform operations of obtaining a server task, initiating a data reinjection test task, canceling a data reinjection test task, monitoring a data reinjection state, and obtaining a data reinjection result on the client, and may also input related operation information, and a specific implementation process thereof is described with reference to fig. 5 and the above description, which is not repeated herein.
In summary, the application provides a data reinjection method, which includes the steps of firstly obtaining to-be-processed intelligent driving data, then responding to a target operation instruction, and generating a data reinjection test task based on a response result; calling the intelligent driving data to be processed according to the data reinjection task, and reinjecting the data reinjection task and the intelligent driving data to be processed to intelligent driving software; and finally, controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and outputting a simulation test verification result. Therefore, the intelligent driving data are utilized and injected back to the intelligent driving software, so that the remote online management of the task result of the client equipment can be tested, the use efficiency of the data, the software testing and verifying efficiency and the safety and reliability can be improved, the intelligent driving software development testing and verifying efficiency is greatly improved, the development period can be shortened, and the upgrading and iteration frequency of the intelligent driving software is improved. The method is equivalent to the method that a traffic road actual measurement database is established through intelligent driving data detected in advance or in real time, so that the adaptability and reliability of each iterative update of the algorithm in the intelligent driving software to the scene can be rapidly verified; therefore, the solution effect of the upgraded intelligent driving software on problem scenes and failure scenes is quickly verified; the danger of using the actual vehicle test and the vehicle use cost are reduced, and meanwhile, the time of developers can be saved. Therefore, the method can not only improve the stability and reliability of the automatic driving performance and gradually enlarge the boundary of the automatic driving scene, but also realize the unmanned function experience beyond the human driver.
In another embodiment, the present application further provides a data reinjection system, including:
the data center is used for storing to-be-processed intelligent driving data, and the to-be-processed intelligent driving data comprises intelligent driving data detected in advance or in real time;
the client is used for responding to the target operation instruction and generating a data reinjection test task based on a response result; the target operation instruction comprises an externally input operation instruction;
the server is used for calling the intelligent driving data to be processed according to the data reinjection task and reinjecting the data reinjection task and the intelligent driving data to be processed to the rack;
and the rack is used for providing intelligent driving software, controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and feeding back a simulation test verification result to the server or the client.
Specifically, the server comprises: the device comprises an equipment management unit, a file management unit, a test case management unit, a task management unit, a statistical analysis unit, a permission management unit and a network service unit. Wherein, the first and the second end of the pipe are connected with each other,
the equipment management unit is used for managing and monitoring the client, receiving target operation executed by a target object on the client by using a hypertext transfer protocol or a hypertext transfer similar protocol, and performing remote connection control with the rack in a remote desktop connection mode.
The file management unit is used for updating the intelligent driving software and adjusting the software name, the software version uploading date and/or the software updating description of the intelligent driving software.
The test case management unit is used for calling the intelligent driving data to be processed according to the scene corresponding to the data reinjection test task and transmitting the called intelligent driving data to be processed to the rack.
And the task management unit is used for carrying out priority configuration on the data reinjection test task and transmitting the data reinjection test task after the priority configuration is finished to the rack.
And the statistical analysis unit is used for counting the execution state of the data reinjection test task according to the simulation test verification result.
And the authority management unit is used for carrying out authority management on the target object and the project user group according to the preset project requirements.
And the network service unit is used for providing a remote page access page so as to enable the external terminal equipment to remotely access the server.
According to the above description, in an exemplary embodiment, after acquiring the smart driving data detected in advance or detected in real time, the data center further includes: preprocessing intelligent driving data detected in advance or in real time to generate the intelligent driving data to be processed; wherein the pre-treatment comprises at least one of: data cleaning, data classification storage, data indexing and data distribution. According to the intelligent driving data pre-processing method and device, pre-processing or real-time detection is carried out on the intelligent driving data, the intelligent driving data can be preliminarily screened, some unnecessary data are removed, and therefore occupation of memory resources and computing resources is reduced. Meanwhile, the preprocessed intelligent driving data are convenient for the server to directly call, and therefore the service efficiency of the intelligent driving data is improved.
According to the above description, in an exemplary embodiment, before responding to the target operation instruction, the client further includes: receiving target operation which is input by a target object and needs to be executed, and generating a target operation instruction corresponding to the target operation; wherein the target operation comprises at least one of: the method comprises the following steps of software downloading operation, software uploading and flashing operation, software deleting operation, software checking operation, data screening operation, data set creating operation, data set deleting operation, data set checking operation, intelligent driving software version updating operation, data reinjection test task initiating operation, data reinjection test task canceling operation, data reinjection state monitoring operation and data reinjection result acquiring operation.
When the target object executes the target operation on the client, the target object can also input operation information on the client at the same time, then the client can generate a corresponding target operation instruction according to the target operation executed by the target object and the input operation information, and after the target operation instruction is responded, the client can also output and display a corresponding result, so that the target object can be conveniently checked. Specifically, the management action of the target object executing the ADAS software on the client is as shown in fig. 3, the target object may execute the software downloading action on the client, and may input operation information such as a software downloading path, a software name, a software version uploading date, and a software updating description, the client may generate a corresponding target operation instruction according to the target operation executed by the target object and the input operation information, and after the target operation instruction is responded, the client may output and display information such as a software downloading state and a software version table, and may also display a description including an updated software version table. Similarly, the target object may perform a software upload refresh operation, a software delete operation, and a software view operation on the client, and may also input related operation information at the same time, and the specific implementation process thereof is described with reference to fig. 3 and the above description, which is not repeated herein. In the method, the target object can be a user, can also be a development tester of intelligent driving software, and can also be other personnel with permission to operate.
A target object executes a test case management action on a client as shown in fig. 4, the target object may execute a data set creation action on the client, and may input operation information such as a data set name, creation time, a data set description, and a data set label, the client may generate a corresponding target operation instruction according to a target operation executed by the target object and the input operation information, and after the target operation instruction is responded, the client may output information such as display data set related information, a data set creation state (success, failure, and status code), and when a newly created data set name overlaps with an existing data set name, may output a prompt to prompt whether replacement or renaming is needed; a description including updating the dataset table is also displayed. Similarly, the target object may perform a data screening operation, a data set deleting operation, and a data set viewing operation on the client, and may also input related operation information, and the specific implementation process thereof is described with reference to fig. 4 and the above description, which is not described herein again.
Target object carries out client management action on client as shown in fig. 5, the target object can carry out update system software version operation on the client, and can input operation information such as desktop PC (Personal Computer, PC for short) end reinjection tool software or ADAS software, etc., the client can generate corresponding target operation instruction according to the target operation carried out by the target object and the input operation information, and the client can display the software flash status (success, failure, status code) after the target operation instruction is responded. Similarly, the target object may perform operations of obtaining a server task, initiating a data reinjection test task, canceling a data reinjection test task, monitoring a data reinjection state, and obtaining a data reinjection result on the client, and may also input related operation information, and a specific implementation process thereof is described with reference to fig. 5 and the above description, which is not repeated herein.
As shown in fig. 6, in an exemplary embodiment, the embodiment provides a data reinjection system, including: a data staging station S10, a server (or staging cluster management system) S20, a staging station S30, and a reinjection station client management system (or client device) S40. The data center station S10 is used for cleaning, data classification storage, data indexing, data distribution and the like of relevant collected data of a collection vehicle, a test vehicle, a mass production vehicle and automatic driving of a third-party platform; the server S20 is used for accessing a data set in the data and forwarding the data to a reinjection rack tool, and is used for increasing, decreasing, deleting, modifying and checking client equipment; the system is used for reinjection rack tool software uploading, downloading, viewing, deploying, updating and version management; and for test case management; the system is used for testing the increase, decrease, deletion, modification and check of tasks, scene configuration, bench configuration and software configuration related to the tasks; and remote web page operations for the client; and for analysis and summary of test results; and for system authority role management. The rack S30 is used for analyzing and format conversion of a data set in data, simulated distribution of actually measured bus data, simulated execution of automatic driving software, distributed storage of algorithm module reinjection result data and data retransmission to a server. The reinjection rack client management system S40 is used for task acquisition, data acquisition, software acquisition, test case acquisition, controller-side software flashing, test case result acquisition and evaluation, task and client equipment state returning, test result returning and rack software tool management.
Specifically, as shown in fig. 7, the server S20 includes: the system comprises a client device management unit, an ADAS file management unit, a test case management unit, a task management unit, a statistical analysis unit, a system management unit and a WEB (World Wide Web, also called World Wide Web for short) service unit. Wherein the content of the first and second substances,
a client device management unit: and deploying a system service for managing and monitoring the client equipment. The operations of adding, modifying, deleting, checking and the like can be carried out by using an HTTP or similar protocol, and the remote connection and control of the PC at the rack end can be realized by a remote desktop connection mode. The client device table may include, but is not limited to, a client device ID, a client device IP address, a client device name, a client device software version number, a client device hardware version number, a client device add time, a client device status (e.g., offline, busy, available, deleted, etc.).
ADAS file management unit: the autopilot software version is mainly managed, as shown in fig. 3, the software version table includes, but is not limited to, a software name, a software version upload date, and a software update description.
The test case management unit: mainly aiming at the problems and scenes of the test, the data set required to be used is captured, as shown in fig. 4. The data set table includes, but is not limited to, a data set name, a creation time, a data set description, a data set tag, a data file name included in the data set, and a data file storage path.
A task management unit: a system service is deployed for initiating and managing tasks. The service maintains a task send queue and a pool of result receiving processes. Priority can be configured using priority queues on demand. The client device table may include, but is not limited to, a client device ID, a client device IP address, a client device name, a client device software version number, a client device hardware version number, a client device add time, a client device status (e.g., offline, busy, available, deleted, etc.). The task log file path includes, but is not limited to, a task ID, a task name, a data set name, a client device ID corresponding to the task, an initiation time, a completion time, a task priority, a task state (queuing, in progress, execution progress, completed, cancelled, failed, etc.), a task log file path, a task configuration, and a rollback result path output by the stage.
A statistical analysis unit: the method comprises the steps of summarizing, counting and presenting the use state condition of the client equipment, summarizing, counting and presenting the task execution condition, summarizing and counting the recharging test result according to the ADAS software version.
A system management unit: the system administrator can manage the user and the user group authority according to the project requirement.
A WEB service unit: the method realizes that the personal working computer can remotely access the operation server side through the webpage.
As shown in fig. 5, the reinjection rack client management system is deployed on each developer computer, and provides a control interface through an RPC (Remote Procedure Call) or similar protocol. The contents of the interface are provided according to the recharging process and need to include the functions of acquiring a server task, updating a software version, initiating a recharging task, canceling a task, monitoring a recharging state, acquiring a recharging result and the like.
According to the above description, in this embodiment, the online intelligent driving algorithm reinjection system composed of the server side management system, the client side management system, the data reinjection rack, the server, the data middling station and the like adopts a modular structure, and communication among modules can be performed according to a standard interface, so that maintenance and update of any one module of any layer and addition of a new module are guaranteed without affecting other modules, remote online submission and monitoring of test tasks, optional deletion of client side equipment, optional deletion of test racks, online summary viewing of test results and the like are realized, the intelligent driving software development test verification efficiency is greatly improved, and the data utilization rate is greatly improved. The stability and the reliability of the automatic driving performance are continuously improved, the automatic driving scene boundary is gradually enlarged, and finally the unmanned driving function experience exceeding that of a human driver is realized.
In summary, the application provides a data reinjection system, which can first obtain to-be-processed intelligent driving data, then respond to a target operation instruction, and generate a data reinjection test task based on a response result; calling the intelligent driving data to be processed according to the data reinjection task, and reinjecting the data reinjection task and the intelligent driving data to be processed to intelligent driving software; and finally, controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and outputting a simulation test verification result. Therefore, the system utilizes the intelligent driving data and reinjects the intelligent driving data to the intelligent driving software, so that the remote online management of the task result of the client equipment can be tested, the use efficiency of the data, the software testing and verifying efficiency and the safety and reliability can be improved, the intelligent driving software development testing and verifying efficiency is greatly improved, the development period can be shortened, and the upgrading and iteration frequency of the intelligent driving software is improved. The system establishes a traffic road actual measurement database through intelligent driving data detected in advance or in real time, and can quickly verify the adaptability and reliability of each iterative update of the algorithm in the intelligent driving software to the scene; therefore, the solving effect of the upgraded intelligent driving software on problem scenes and failure scenes is quickly verified; the danger of using the actual vehicle test and the vehicle use cost are reduced, and meanwhile, the time of developers can be saved. Therefore, the system can not only improve the stability and reliability of the automatic driving performance and gradually enlarge the boundary of the automatic driving scene, but also realize the unmanned function experience beyond the human driver.
It should be noted that the data reinjection system provided in the foregoing embodiment and the data reinjection method provided in the foregoing embodiment belong to the same concept, and specific ways of performing operations by each module and unit have been described in detail in the method embodiment, and are not described again here. In practical applications, the data reinjection system provided in the foregoing embodiment may allocate the functions to different function modules according to requirements, that is, divide the internal structure of the system into different function modules to complete all or part of the functions described above, which is not limited herein.
An embodiment of the present application further provides an electronic device, including: one or more processors; a storage device, configured to store one or more programs, which when executed by the one or more processors, cause the electronic device to implement the data reinjection method provided in the above-described embodiments.
FIG. 8 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application. It should be noted that the computer system 1000 of the electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 8, the computer system 1000 includes a Central Processing Unit (CPU) 1001, which can perform various appropriate actions and processes, such as executing the method described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 1002 or a program loaded from a storage portion 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data necessary for system operation are also stored. The CPU 1001, ROM 1002, and RAM 1003 are connected to each other via a bus 1004. An Input/Output (I/O) interface 1005 is also connected to the bus 1004.
The following components are connected to the I/O interface 1005: an input portion 1006 including a keyboard, a mouse, and the like; an output section 1007 including a Display panel such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage portion 1008 including a hard disk and the like; and a communication section 1009 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 1009 performs communication processing via a network such as the internet. The driver 1010 is also connected to the I/O interface 1005 as necessary. A removable medium 1011 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1010 as necessary, so that a computer program read out therefrom is mounted into the storage section 1008 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from the network through the communication part 1009 and/or installed from the removable medium 1011. When the computer program is executed by a Central Processing Unit (CPU) 1001, various functions defined in the system of the present application are executed.
It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer-readable signal medium may comprise a propagated data signal with a computer-readable computer program embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
Another aspect of the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to execute the data reinjection method as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist alone without being assembled into the electronic device.
Another aspect of the application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to enable the computer device to execute the data reinjection method provided in the above embodiments.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A method of data reinjection, the method comprising the steps of:
acquiring to-be-processed intelligent driving data, wherein the to-be-processed intelligent driving data comprises intelligent driving data detected in advance or detected in real time;
responding to the target operation instruction, and generating a data reinjection test task based on a response result; the target operation instruction comprises an externally input operation instruction;
calling the intelligent driving data to be processed according to the data reinjection task, and reinjecting the data reinjection task and the intelligent driving data to be processed to intelligent driving software;
and controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and outputting a simulation test verification result.
2. The data reinjection method of claim 1, wherein after controlling the intelligent driving software to perform simulation test verification on the to-be-processed intelligent driving data according to the data reinjection task, the method further comprises:
updating the intelligent driving software, and adjusting the software name, the software version uploading date and/or the software updating description of the intelligent driving software;
and carrying out simulation test verification on the intelligent driving data to be processed by utilizing the adjusted intelligent driving software.
3. The data reinjection method according to claim 1 or 2, wherein after acquiring the smart driving data detected in advance or in real time, the method further comprises:
preprocessing intelligent driving data detected in advance or in real time to generate the intelligent driving data to be processed;
wherein the pre-treatment comprises at least one of: data cleaning, data classification storage, data indexing and data distribution.
4. The data reinjection method according to claim 1 or 2, wherein before responding to the target operation instruction, the method further comprises:
receiving a target operation executed by a target object on a client, and generating a target operation instruction corresponding to the target operation based on the client;
wherein the target operation comprises at least one of: the method comprises the following steps of software downloading operation, software uploading and flashing operation, software deleting operation, software viewing operation, data screening operation, data set creating operation, data set deleting operation, data set viewing operation, intelligent driving software version updating operation, data reinjection test task initiating operation, data reinjection test task canceling operation, data reinjection state monitoring operation and data reinjection result obtaining operation.
5. A data reinjection system, said system comprising:
the data center is used for storing to-be-processed intelligent driving data, and the to-be-processed intelligent driving data comprises intelligent driving data detected in advance or in real time;
the client is used for responding to the target operation instruction and generating a data reinjection test task based on a response result; the target operation instruction comprises an externally input operation instruction;
the server is used for calling the intelligent driving data to be processed according to the data reinjection task and reinjecting the data reinjection task and the intelligent driving data to be processed to the rack;
and the rack is used for providing intelligent driving software, controlling the intelligent driving software to perform simulation test verification on the intelligent driving data to be processed according to the data reinjection task, and feeding back a simulation test verification result to the server or the client.
6. The data reinjection system of claim 5, wherein said server comprises:
the equipment management unit is used for managing and monitoring the client, receiving target operation executed by a target object on the client by using a hypertext transfer protocol or a hypertext transfer similar protocol, and performing remote connection control with the rack in a remote desktop connection mode;
the file management unit is used for updating the intelligent driving software and adjusting the software name, the software version uploading date and/or the software updating description of the intelligent driving software;
the test case management unit is used for calling the intelligent driving data to be processed according to the scene corresponding to the data reinjection test task and transmitting the called intelligent driving data to be processed to the rack;
the task management unit is used for carrying out priority configuration on the data reinjection test task and transmitting the data reinjection test task after the priority configuration is finished to the rack;
and the statistical analysis unit is used for counting the execution state of the data reinjection test task according to the simulation test verification result.
7. The data reinjection system according to claim 5 or 6, wherein said server further comprises:
the authority management unit is used for carrying out authority management on the target object and the project user group according to the preset project requirement;
and the network service unit is used for providing a remote page access page so as to enable the external terminal equipment to remotely access the server.
8. The data reinjection system of claim 5 or 6, wherein the client, before responding to the target operation instruction, further comprises:
receiving target operation which is input by a target object and needs to be executed, and generating a target operation instruction corresponding to the target operation;
wherein the target operation comprises at least one of: the method comprises the following steps of software downloading operation, software uploading and flashing operation, software deleting operation, software checking operation, data screening operation, data set creating operation, data set deleting operation, data set checking operation, intelligent driving software version updating operation, data reinjection test task initiating operation, data reinjection test task canceling operation, data reinjection state monitoring operation and data reinjection result acquiring operation.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the data reinjection method of any one of claims 1 to 4.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to execute a data reinjection method according to any one of claims 1 to 4.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117675434A (en) * | 2023-12-01 | 2024-03-08 | 昆易电子科技(上海)有限公司 | Data processing method, device, system, electronic equipment and readable storage medium |
| CN117763342A (en) * | 2023-11-01 | 2024-03-26 | 上海泽尔汽车科技有限公司 | Automatic driving data reinjection method and system based on environment awareness |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117763342A (en) * | 2023-11-01 | 2024-03-26 | 上海泽尔汽车科技有限公司 | Automatic driving data reinjection method and system based on environment awareness |
| CN117675434A (en) * | 2023-12-01 | 2024-03-08 | 昆易电子科技(上海)有限公司 | Data processing method, device, system, electronic equipment and readable storage medium |
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