CN117975593A - Intelligent equipment data reproduction and function algorithm module optimization method, medium and equipment - Google Patents
Intelligent equipment data reproduction and function algorithm module optimization method, medium and equipment Download PDFInfo
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Abstract
The application relates to the technical field of automatic driving, in particular to a data reproduction and functional algorithm module optimization method, medium, equipment and server of intelligent equipment, and aims to solve the problem of how to effectively improve the reproduction degree of the data of the intelligent equipment and further improve the effectiveness of the data application of the intelligent equipment. Therefore, the application can record the operation data and the program state data of the functional algorithm module of the intelligent equipment, and when the preset event is triggered, the recorded operation data and the recorded program state data corresponding to the preset event can be transmitted to the server. The server plays back the operation data according to the program state data uploaded by the intelligent equipment, if the data playback result is the same as the execution result of the functional algorithm module of the intelligent equipment, the operation data is considered to be successfully reproduced, the successfully reproduced operation data can be stored for optimizing the functional algorithm module, the reproduction degree of the operation data is effectively improved, and the effectiveness of the operation data is improved.
Description
Technical Field
The application relates to the technical field of automatic driving, and particularly provides a data reproduction and functional algorithm module optimization method, medium, equipment and server of intelligent equipment.
Background
The reproduction of data and scenes in automatic driving is a key technology, and the data collected by the intelligent equipment can be used for establishing a test set only after cloud reproduction, so that research and development iteration is performed.
However, in the prior art, when the simulation program playback is performed on the intelligent device data, the execution result of the simulation program is inconsistent with the original execution result of the intelligent device, so that the reproduction degree of the intelligent device data is affected, and the effectiveness of the application of the intelligent device data is affected.
Accordingly, there is a need in the art for a new smart device data replication scheme to address the above-described problems.
Disclosure of Invention
The present application is proposed to overcome the above-mentioned drawbacks, and to provide a solution or at least partially solve the problem of how to effectively improve the reproducibility of the data of the smart device, and further improve the validity of the data application of the smart device.
In a first aspect, the present application provides a data reproduction method of an intelligent device, the method being applied to the intelligent device, the intelligent device being communicatively connected to a server, the method comprising:
recording operation data and program state data of a functional algorithm module of the intelligent equipment;
And responding to a preset event trigger, and transmitting the recorded running data and the recorded program state data corresponding to the preset event to the server so that the server reproduces the running data.
In one technical scheme of the data reproduction method of the intelligent device, recording the program state data includes:
acquiring program state data of the functional algorithm module every interval for a first preset time length;
and storing the acquired program state data to record the program state data.
In one technical scheme of the data reproduction method of the intelligent device, the transmitting the recorded running data and the program state data corresponding to the preset event to the server includes:
When the preset event is triggered, acquiring recorded operation data and program state data from a second preset time before the triggering time of the preset event to the triggering time;
transmitting the acquired operation data and the program state data to the server;
The first preset duration is smaller than the second preset duration.
In one technical scheme of the data reproduction method of the intelligent device, the program state data includes at least one of program parameters of the functional algorithm module and request data input by the functional algorithm module.
In a second aspect, the present application provides a data reproduction method of an intelligent device, the method being applied to a server, the server being communicatively connected to the intelligent device, the method comprising:
Acquiring operation data and program state data of a functional algorithm module uploaded by the intelligent equipment;
According to the program state data, a simulation module of the functional algorithm module in the server is applied to play back the running data;
And when the data playback result of the simulation module is the same as the execution result of the functional algorithm module of the intelligent equipment, judging that the reproduction of the operation data is successful, and storing the operation data which is successful in reproduction.
In one technical scheme of the data reproduction method of the intelligent device, the applying the simulation module of the functional algorithm module in the service according to the program state data, performing data playback on the operation data includes:
According to the program state data of the operation data starting time, the program state of the simulation module of the functional algorithm module is adjusted so that the simulation module and the functional algorithm module of the operation data starting time have the same program state;
And playing back the running data based on the simulation module with the adjusted program state.
In one technical scheme of the data reproduction method of the intelligent device, the program state data comprises request data input by the functional algorithm module;
the adjusting the program state of the simulation module of the functional algorithm module according to the program state data of the starting moment of the operation data comprises the following steps:
and based on the request data, acquiring a current program state corresponding to the simulation module, so as to realize that the simulation module is adjusted to have the same program state as the functional algorithm module at the starting time of the running data according to the current program state.
In one technical scheme of the data reproduction method of the intelligent device, the program state data includes program parameters of the functional algorithm module.
In a third aspect, the present application provides a method for optimizing a functional algorithm module, the method comprising:
according to the data reproduction method of the intelligent equipment, which is any one of the technical schemes of the data reproduction method of the intelligent equipment, the successfully reproduced operation data are obtained;
Constructing a data set according to the operation data;
and optimizing the functional algorithm module based on the constructed data set.
In a fourth aspect, a computer readable storage medium is provided, where a plurality of program codes are stored, where the program codes are adapted to be loaded and executed by a processor to perform the data reproduction method of the smart device or the functional algorithm module optimization method described in any one of the technical solutions of the data reproduction method of the smart device.
In a fifth aspect, there is provided a smart device, comprising:
At least one processor;
and a memory communicatively coupled to the at least one processor;
The memory stores a computer program, and the computer program when executed by the at least one processor implements the data reproduction method of the intelligent device according to any one of the technical schemes of the data reproduction method of the intelligent device.
In a sixth aspect, there is provided a server, the server comprising:
At least one processor;
and a memory communicatively coupled to the at least one processor;
the memory stores a computer program, and when the computer program is executed by the at least one processor, the data reproduction method of the intelligent device or the functional algorithm module optimization method described in any one of the technical schemes of the data reproduction method of the intelligent device or the functional algorithm module optimization method described in the technical scheme of the functional algorithm module optimization method is described in any one of the technical schemes of the data reproduction method of the intelligent device.
Scheme 1. A data reproduction method of an intelligent device, wherein the method is applied to the intelligent device, the intelligent device is in communication connection with a server, and the method comprises the following steps:
recording operation data and program state data of a functional algorithm module of the intelligent equipment;
And responding to a preset event trigger, and transmitting the recorded running data and the recorded program state data corresponding to the preset event to the server so that the server reproduces the running data.
Scheme 2. The data reproduction method of an intelligent device according to scheme 1, characterized in that,
Recording the program state data, including:
acquiring program state data of the functional algorithm module every interval for a first preset time length;
and storing the acquired program state data to record the program state data.
Scheme 3. The data reproduction method of an intelligent device according to scheme 2, characterized in that,
The transmitting the running data and the program state data corresponding to the recorded preset event to the server includes:
When the preset event is triggered, acquiring recorded operation data and program state data from a second preset time before the triggering time of the preset event to the triggering time;
transmitting the acquired operation data and the program state data to the server;
The first preset duration is smaller than the second preset duration.
Scheme 4. The data reproduction method of the smart device according to any one of schemes 1 to 3, characterized in that,
The program state data includes at least one of program parameters of the functional algorithm module and request data input by the functional algorithm module.
Scheme 5. A data reproduction method of an intelligent device, characterized in that the method is applied to a server, the server is in communication connection with the intelligent device, the method comprises:
Acquiring operation data and program state data of a functional algorithm module uploaded by the intelligent equipment;
According to the program state data, a simulation module of the functional algorithm module in the server is applied to play back the running data;
And when the data playback result of the simulation module is the same as the execution result of the functional algorithm module of the intelligent equipment, judging that the reproduction of the operation data is successful, and storing the operation data which is successful in reproduction.
Scheme 6. The data reproduction method of an intelligent device according to scheme 5, characterized in that,
And according to the program state data, applying a simulation module of the functional algorithm module in the service to play back the running data, wherein the method comprises the following steps:
According to the program state data of the operation data starting time, the program state of the simulation module of the functional algorithm module is adjusted so that the simulation module and the functional algorithm module of the operation data starting time have the same program state;
And playing back the running data based on the simulation module with the adjusted program state.
Scheme 7. The data reproduction method of an intelligent device according to scheme 6, characterized in that,
The program state data comprise request data input by the functional algorithm module;
the adjusting the program state of the simulation module of the functional algorithm module according to the program state data of the starting moment of the operation data comprises the following steps:
and based on the request data, acquiring a current program state corresponding to the simulation module, so as to realize that the simulation module is adjusted to have the same program state as the functional algorithm module at the starting time of the running data according to the current program state.
Scheme 8. The data reproduction method for an intelligent device according to scheme 6, characterized in that,
The program state data includes program parameters of the functional algorithm module.
Scheme 9. A method for optimizing a functional algorithm module, the method comprising:
the data reproduction method of the intelligent device according to any one of the schemes 5 to 8, obtaining the successfully reproduced operation data;
Constructing a data set according to the operation data;
and optimizing the functional algorithm module based on the constructed data set.
A computer readable storage medium having stored therein a plurality of program codes, wherein the program codes are adapted to be loaded and executed by a processor to perform the data reproduction method of the smart device of any one of claims 1 to 4 or the data reproduction method of the smart device of any one of claims 5 to 8 or the functional algorithm module optimization method of claim 9.
Scheme 11. An intelligent device, its characterized in that, intelligent device includes:
At least one processor;
and a memory communicatively coupled to the at least one processor;
Wherein the memory has stored therein a computer program which when executed by the at least one processor implements the data reproduction method of the smart device of any one of claims 1 to 4.
A server, wherein the server comprises:
At least one processor;
and a memory communicatively coupled to the at least one processor;
Wherein the memory stores a computer program that when executed by the at least one processor implements the data reproduction method of the smart device of any one of claims 5 to 8 or the functional algorithm module optimization method of claim 9.
One or more of the above technical solutions of the present application at least has one or more of the following
The beneficial effects are that:
In the technical scheme of implementing the application, the running data and the program state data of the functional algorithm module of the intelligent equipment can be recorded, and when a preset event is triggered, the running data and the program state data corresponding to the recorded preset event can be transmitted to the server. And the server plays back the operation data according to the program state data uploaded by the intelligent equipment, and if the data playback result is the same as the execution result of the functional algorithm module of the intelligent equipment, the operation data is considered to be successfully reproduced, and the successfully reproduced operation data can be stored for optimizing the functional algorithm module. Through the configuration mode, the method and the device can effectively improve the reproduction degree of the operation data of the intelligent equipment, further improve the effectiveness of the operation data, and further realize effective optimization of the functional algorithm model based on the operation data and research and development iteration.
Drawings
The present disclosure will become more readily understood with reference to the accompanying drawings. As will be readily appreciated by those skilled in the art: the drawings are for illustrative purposes only and are not intended to limit the scope of the present application. Wherein:
FIG. 1 is a flow chart of the main steps of a data reproduction method of a smart device according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating main steps of a data reproduction method of a smart device according to another embodiment of the present application;
FIG. 3 is a schematic flow chart of main steps of a data reproduction method of a smart device according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of main steps of a data reproduction method of a smart device according to another implementation of the embodiment of the present application;
FIG. 5 is a flow chart of the main steps of a functional algorithm module optimization method according to one embodiment of the application;
fig. 6 is a schematic diagram of the connection between the memory and the processor of the smart device according to one embodiment of the present application.
Detailed Description
Some embodiments of the application are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present application, and are not intended to limit the scope of the present application.
In the description of the present application, a "module," "processor" may include hardware, software, or a combination of both. A module may comprise hardware circuitry, various suitable sensors, communication ports, memory, or software components, such as program code, or a combination of software and hardware. The processor may be a central processor, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and/or signal processing functions. The processor may be implemented in software, hardware, or a combination of both. Non-transitory computer readable storage media include any suitable medium that can store program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, and the like. The term "a and/or B" means all possible combinations of a and B, such as a alone, B alone or a and B. The term "at least one A or B" or "at least one of A and B" has a meaning similar to "A and/or B" and may include A alone, B alone or A and B. The singular forms "a", "an" and "the" include plural referents.
Referring to fig. 1, fig. 1 is a schematic flow chart of main steps of a data reproduction method of an intelligent device according to an embodiment of the present application. As shown in fig. 1, the data reproduction method of the intelligent device in the embodiment of the application is applied to the intelligent device, and the intelligent device is in communication connection with a server. The data reproduction method of the intelligent device mainly comprises the following steps S101-S102.
Step S101: and recording the operation data and the program state data of the functional algorithm module of the intelligent equipment.
In this embodiment, the running data and the program state data of the functional algorithm module of the intelligent device may be recorded. The operation data refer to sensor data related to the functional algorithm module of the intelligent device, intermediate result data of the functional algorithm module, time stamps corresponding to the data, association relations among the data and the like. The sensor data may include, but is not limited to, camera, radar, IMU, GNSS, etc. acquired data. The intermediate result data may include, but is not limited to, intermediate result data of a positioning module, a planning module, a control module, a perception module, a fusion module, a map module, and the like. Program state data is data for representing the current state of the functional algorithm module. The program state data may be a program parameter of the functional algorithm module, or may be request data input by the functional algorithm module.
In one embodiment, the smart device may be a driving device, a smart car, a robot, or the like.
In one embodiment, the functional algorithm module may be a positioning algorithm module, a map matching algorithm module, a perception fusion algorithm module, a planning control algorithm module, or the like. For example, the program state data of the positioning algorithm module can comprise data such as the position, the speed, the acceleration, the angular speed and the like of the intelligent device. The map matching algorithm module, because its state is updated infrequently, but the amount of data in the calculation process is often large, its program state data can be the requested data required for generating the state, such as a Standard Deviation (SD) path, etc.
In one embodiment, a data recording program can be deployed at the intelligent device end to record the running data and the program state data of the functional algorithm module.
In one embodiment, the program state data of the functional algorithm module may be obtained at intervals of a first preset duration, and the obtained program state data is stored, so as to record the program state data. The first preset duration may be 1 second, for example. The first preset time period can also be set by a person skilled in the art according to the actual application requirement.
Step S102: and transmitting the recorded running data and program state data corresponding to the preset event to the server in response to the trigger of the preset event so as to enable the server to reproduce the running data.
In this embodiment, when a preset event occurs, the recorded running data and program state data corresponding to the preset event may be transmitted to the server, so that the server realizes reproduction of the running data. The preset event may be an event that occurs at the intelligent device side and is used for achieving a preset target. If the preset target is to improve the accuracy of the brake control of the planning control module, the preset event may be a false brake event of the intelligent device.
In one embodiment, step S102 may further include the following steps S1021 and S1022:
Step S1021: when the preset event is triggered, acquiring recorded running data and program state data from a second preset time before the triggering time of the preset event to the triggering time.
Step S1022: transmitting the acquired operation data and program state data to a server; the first preset time period is smaller than the second preset time period.
In this embodiment, when the trigger is triggered in the preset time, the recorded running data and program state data from the second preset time before the trigger time to the trigger time may be acquired and transmitted to the server. That is, when the preset event is triggered, the operation data and the program state data corresponding to the segment of the second preset duration may be pushed forward at the triggering time to be cut out and transmitted to the server.
In one embodiment, the second preset time period may be 10 seconds. The person skilled in the art can also set the second preset time period according to the actual application requirement.
In one embodiment, the server may be a cloud server.
The application further provides another data reproduction method of the intelligent equipment.
Referring to fig. 2, fig. 2 is a schematic flow chart of main steps of a data reproduction method of an intelligent device according to another embodiment of the present application. As shown in fig. 2, the data reproduction method of the intelligent device in the embodiment of the application is applied to a server, and the intelligent device is in communication connection with the server. The data reproduction method of the intelligent device mainly comprises the following steps S201-S203.
Step S201: and acquiring the running data and the program state data of the functional algorithm module uploaded by the intelligent equipment.
In this embodiment, the server receives the operation data and the program status data of the functional algorithm module uploaded by the intelligent device.
Step S202: and according to the program state data, the simulation module of the functional algorithm module in the application server plays back the running data.
In this embodiment, the program state of the simulation module corresponding to the functional algorithm module may be adjusted according to the program state data, so as to implement playback of the operation data.
In one embodiment, step S202 may further include the following steps S2021 and S2022:
step S2021: and adjusting the program state of the simulation module of the functional algorithm module according to the program state data of the operation data starting time so that the simulation module and the functional algorithm module of the operation data starting time have the same program state.
In this embodiment, the program state of the corresponding simulation module may be adjusted according to the program state data at the start time of the operation data so that the simulation module has the same program state as the functional algorithm module at the start time of the operation data.
Specifically, the intelligent device records the program state data at intervals of a first preset time period, and when the server plays back the data, the program state data encountered for the first time can be used for the state recovery operation of the simulation module, and then the reappeared program state data can be directly ignored.
In one embodiment, the program state data may include request data entered by the functional algorithm module. The current program state corresponding to the simulation module can be obtained according to the request data input by the functional algorithm module, so that the simulation module is adjusted to have the same program state as the functional algorithm module at the starting time of the operation data according to the current program state.
In one embodiment, the program state data may include program parameters of the functional algorithm module.
Step S2022: and playing back the running data based on the simulation module with the adjusted program state.
Step S203: and when the data playback result of the simulation module is the same as the execution result of the functional algorithm module of the intelligent device, judging that the reproduction of the operation data is successful, and storing the operation data which is successful in reproduction.
In this embodiment, it may be determined whether the data playback result of the simulation module is the same as the execution result of the intelligent algorithm module, and if so, it indicates that the data reproduction is successful, and the running data may be stored as valuable data for use in optimization processes such as training and evaluation of the functional algorithm module.
Based on the steps S201-S203, the embodiment of the present application can record the operation data and the program state data of the functional algorithm module of the intelligent device, and when the preset event is triggered, the operation data and the program state data corresponding to the recorded preset event can be transmitted to the server. And the server plays back the operation data according to the program state data uploaded by the intelligent equipment, and if the data playback result is the same as the execution result of the functional algorithm module of the intelligent equipment, the operation data is considered to be successfully reproduced, and the successfully reproduced operation data can be stored for optimizing the functional algorithm module. Through the configuration mode, the embodiment of the application can effectively improve the reproduction degree of the operation data of the intelligent equipment, and further improve the effectiveness of the operation data, so that the effective optimization of the functional algorithm model can be realized based on the operation data, and research and development iteration is realized.
Referring to fig. 3, a data reproduction method of the intelligent device will be described using a functional algorithm module as an example of a positioning algorithm module. Fig. 3 is a schematic flow chart of main steps of a data reproduction method of an intelligent device according to an embodiment of the present application.
As shown in fig. 3, the observation inputs of the positioning algorithm module include GNSS, IMU, wheel speed, sensing and high-precision map matching, lidar point cloud and point cloud map matching, and other data, and the vehicle state such as position, speed, acceleration, angular speed, and the like of the vehicle is maintained internally. The state and the observation are associated through an observation equation, and the state is solved by a plurality of observations in an Extended Kalman Filter (EKF) mode. Because the dependent signals may have various unstable situations, such as errors become large due to the occlusion of the GNSS, the whole filter convergence process may be long, possibly reaching tens of seconds. The data recorded by the intelligent device end is stored after being returned to the cloud (server) through the operator, because the transmission and storage cost is limited to be long, often about ten seconds. After the cloud positioning module (simulation module) is restarted, the algorithm is often not converged, and the data playback is finished, so that case (operation data) cannot be reproduced. The cloud positioning module needs to be subjected to program state adjustment based on program state data recorded by the intelligent equipment end, and then the data is reproduced. The data (# location state) on the right side in fig. 3 is recorded program state data (state information) of the intelligent device, and includes a position location variance (position_variance), a velocity (velocity), a velocity variance (velocity_variance), an acceleration (accleration), an acceleration variance (accleration _variance), an angular velocity (yaw_rate), and the like of the intelligent device. After the positioning initialization of the cloud positioning module is realized, based on the state information, program state adjustment of the cloud positioning module is realized, so that the state information is played back, and the positioning of the cloud positioning module is restored to the state of the starting moment of the operation data uploaded by the intelligent equipment. After the state recovery is completed, the data playback can be performed based on the operation data uploaded by the intelligent equipment, and the positioning program processing is performed based on the cloud positioning module, so that a data playback result is obtained. And when the playback is completed, ending.
Referring to fig. 4, a data reproduction method of the intelligent device will be described by taking a functional algorithm module as a map matching algorithm module as an example. Fig. 4 is a schematic flow chart of main steps of a data reproduction method of an intelligent device according to another implementation manner of the embodiment of the present application.
As shown in fig. 4, for some functional algorithm modules with larger data volume of program state data, such as a map matching algorithm module, the program state is updated infrequently, so that the required request data for generating the program state can be directly recorded, and the recovery of the program state can be realized based on the request data. For example, the Standard Deviation (SD) path of the high-definition Map is matched with the high-definition (HD) path, the vehicle end (intelligent device) receives the navigation request initiated by the user, matches the SD navigation path with the HD Map (high-definition Map) based on navigation, and stores the matched HD data in the memory for use in the following driving process. Because the navigation path may be long, such as hundreds to thousands of kilometers, each path records geometric information, and the amount of data is large. Therefore, the SD path when the user initiates navigation can be recorded as program state data and then uploaded to the cloud (server), and the cloud can recall the map matching algorithm once again, so that the HD path is recovered.
Specifically, the SD path uploaded by the vehicle end can be loaded based on the cloud recovery data, and the cloud re-executes SD/HD matching operation based on the SD path so as to realize the program state recovery of the cloud map matching algorithm module. And after the state recovery is completed, playing back the running data (data information), and processing the map matching program to complete the data playback.
Furthermore, the application also provides a functional algorithm module optimization method.
Referring to fig. 5, fig. 5 is a schematic flow chart of main steps of a functional algorithm module optimizing method according to an embodiment of the present application. As shown in fig. 5, the functional algorithm module optimizing method may include the following steps S301 to S303:
Step S301: according to the data reproduction method of the intelligent device in the data reproduction method embodiment of the intelligent device, the successfully reproduced operation data are obtained.
Step S302: and constructing a data set according to the acquired operation data.
Step S303: and optimizing the functional algorithm model according to the constructed data set.
In this embodiment, a data set may be constructed based on the running data that is successfully reproduced, and the functional algorithm module is optimized by applying the data set, so as to implement research and development iteration.
In one embodiment, the optimization of the functional algorithm module may be retraining, evaluating, simulating, testing, etc. of the functional algorithm module.
It should be noted that, although the foregoing embodiments describe the steps in a specific order, it will be understood by those skilled in the art that, in order to achieve the effects of the present application, the steps are not necessarily performed in such an order, and may be performed simultaneously (in parallel) or in other orders, and these variations are within the scope of the present application.
It will be appreciated by those skilled in the art that the present application may implement all or part of the above-described methods according to the above-described embodiments, or may be implemented by means of a computer program for instructing relevant hardware, where the computer program may be stored in a computer readable storage medium, and where the computer program may implement the steps of the above-described embodiments of the method when executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable storage medium may include: any entity or device, medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunications signals, software distribution media, and the like capable of carrying the computer program code. It should be noted that the computer readable storage medium may include content that is subject to appropriate increases and decreases as required by jurisdictions and by jurisdictions in which such computer readable storage medium does not include electrical carrier signals and telecommunications signals.
Further, the application also provides a computer readable storage medium. In one embodiment of the computer readable storage medium according to the present application, the computer readable storage medium may be configured to store a program for performing the data reproduction method of the smart device of the above-described method embodiment, and the program may be loaded and executed by a processor to implement the data reproduction method of the smart device. For convenience of explanation, only those portions of the embodiments of the present application that are relevant to the embodiments of the present application are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present application. The computer readable storage medium may be a storage device including various electronic devices, and optionally, the computer readable storage medium in the embodiments of the present application is a non-transitory computer readable storage medium.
Further, the application also provides a computer readable storage medium. In one embodiment of a computer-readable storage medium according to the present application, the computer-readable storage medium may be configured to store a program for performing the functional algorithm module optimizing method of the above-described method embodiment, which may be loaded and executed by a processor to implement the functional algorithm module optimizing method described above. For convenience of explanation, only those portions of the embodiments of the present application that are relevant to the embodiments of the present application are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present application. The computer readable storage medium may be a storage device including various electronic devices, and optionally, the computer readable storage medium in the embodiments of the present application is a non-transitory computer readable storage medium.
Further, the application also provides intelligent equipment. The smart device may include at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program which, when executed by the at least one processor, implements the method of any of the embodiments described above. The intelligent equipment provided by the application can comprise driving equipment, intelligent vehicles, robots and other equipment. Referring to fig. 6, fig. 6 is a schematic diagram of a connection relationship between a memory and a processor of a smart device according to an embodiment of the present application. The memory and processor are illustratively shown in fig. 6 as being communicatively coupled via a bus.
In some embodiments of the application, the smart device further comprises at least one sensor for sensing information. The sensor is communicatively coupled to any of the types of processors referred to herein. Optionally, the smart device further comprises an autopilot system for guiding the smart device to drive by itself or assist in driving. The processor communicates with the sensors and/or the autopilot system for performing the method of any one of the embodiments described above.
Further, the application also provides a server. The server may include at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program which, when executed by the at least one processor, implements the method of any of the embodiments described above.
Further, it should be understood that, since the respective modules are merely set to illustrate the functional units of the apparatus of the present application, the physical devices corresponding to the modules may be the processor itself, or a part of software in the processor, a part of hardware, or a part of a combination of software and hardware. Accordingly, the number of individual modules in the figures is merely illustrative.
Those skilled in the art will appreciate that the various modules in the apparatus may be adaptively split or combined. Such splitting or combining of specific modules does not cause the technical solution to deviate from the principle of the present application, and therefore, the technical solution after splitting or combining falls within the protection scope of the present application.
The personal information of the related user possibly related in each embodiment of the application is personal information which is actively provided by the user or generated by using the product/service in the process of using the product/service and is obtained by authorization of the user, and is processed based on the reasonable purpose of the business scene according to legal, legal and necessary principles strictly according to the requirements of laws and regulations.
The personal information of the user processed by the application can be different according to specific product/service scenes, and the personal information of the user can relate to account information, equipment information, driving information, vehicle information or other related information of the user according to the specific scene of using the product/service by the user. The applicant would treat the user's personal information and its processing with a high diligence.
The application is very important to the safety of the personal information of the user, and adopts reasonable and feasible safety protection measures which accord with the industry standard to protect the information of the user and prevent the personal information from unauthorized access, disclosure, use, modification, damage or loss.
Thus far, the technical solution of the present application has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present application is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present application, and such modifications and substitutions will fall within the scope of the present application.
Claims (10)
1. A data reproduction method of an intelligent device, wherein the method is applied to the intelligent device, the intelligent device is in communication connection with a server, and the method comprises:
recording operation data and program state data of a functional algorithm module of the intelligent equipment;
And responding to a preset event trigger, and transmitting the recorded running data and the recorded program state data corresponding to the preset event to the server so that the server reproduces the running data.
2. The method for data reproduction of a smart device according to claim 1, wherein,
Recording the program state data, including:
acquiring program state data of the functional algorithm module every interval for a first preset time length;
and storing the acquired program state data to record the program state data.
3. The method for data reproduction of a smart device according to claim 2, wherein,
The transmitting the running data and the program state data corresponding to the recorded preset event to the server includes:
When the preset event is triggered, acquiring recorded operation data and program state data from a second preset time before the triggering time of the preset event to the triggering time;
transmitting the acquired operation data and the program state data to the server;
The first preset duration is smaller than the second preset duration.
4. A data reproduction method for a smart device according to any one of claims 1 to 3,
The program state data includes at least one of program parameters of the functional algorithm module and request data input by the functional algorithm module.
5. A method for data reproduction of an intelligent device, the method being applied to a server, the server being communicatively connected to the intelligent device, the method comprising:
Acquiring operation data and program state data of a functional algorithm module uploaded by the intelligent equipment;
According to the program state data, a simulation module of the functional algorithm module in the server is applied to play back the running data;
And when the data playback result of the simulation module is the same as the execution result of the functional algorithm module of the intelligent equipment, judging that the reproduction of the operation data is successful, and storing the operation data which is successful in reproduction.
6. The method for data reproduction of a smart device according to claim 5, wherein,
And according to the program state data, applying a simulation module of the functional algorithm module in the service to play back the running data, wherein the method comprises the following steps:
According to the program state data of the operation data starting time, the program state of the simulation module of the functional algorithm module is adjusted so that the simulation module and the functional algorithm module of the operation data starting time have the same program state;
And playing back the running data based on the simulation module with the adjusted program state.
7. The method for data reproduction of a smart device according to claim 6, wherein,
The program state data comprise request data input by the functional algorithm module;
the adjusting the program state of the simulation module of the functional algorithm module according to the program state data of the starting moment of the operation data comprises the following steps:
and based on the request data, acquiring a current program state corresponding to the simulation module, so as to realize that the simulation module is adjusted to have the same program state as the functional algorithm module at the starting time of the running data according to the current program state.
8. The method for data reproduction of a smart device according to claim 6, wherein,
The program state data includes program parameters of the functional algorithm module.
9. A method for optimizing a functional algorithm module, the method comprising:
The data reproduction method of an intelligent device according to any one of claims 5 to 8, obtaining operation data of successful reproduction;
Constructing a data set according to the operation data;
and optimizing the functional algorithm module based on the constructed data set.
10. A computer readable storage medium, in which a plurality of program codes are stored, characterized in that the program codes are adapted to be loaded and executed by a processor to perform the data reproduction method of a smart device according to any one of claims 1 to 4 or the data reproduction method of a smart device according to any one of claims 5 to 8 or the functional algorithm module optimization method according to claim 9.
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