Adaptive intelligent export method and device, and electronic device

Abstract

The application discloses a kind of self-adapting intelligent export method, device and electronic equipment, it is related to the field of Internet of Vehicles, the method includes: according to the preset log collection rule, collection vehicle end log;Obtain multiple possible log transmission paths;Calculate the comprehensive cost of each log transmission path;Select the lowest comprehensive cost one log transmission path, as actual log transmission path;The vehicle end log collected is packed according to the transmission protocol corresponding to actual log transmission path;The vehicle end log after packing is uploaded to cloud end.The self-adapting intelligent export method, device and electronic equipment provided by the application can automatically provide the most suitable data export path.

Description

Technical Field

[0001] This application relates to the field of vehicle networking technology, and in particular to adaptive intelligent export methods, devices and electronic devices. Background Technology

[0002] Currently, obtaining the internal logs of the vehicle controller relies on multiple independent and static technical paths.

[0003] Diagnostic port reading: Connects to a dedicated diagnostic instrument via the OBD-II interface to request specific data as needed, suitable for after-sales maintenance.

[0004] Direct connection to engineering tools: During the R&D phase, high-bandwidth, intrusive data acquisition can be performed using specialized tools (such as CANoe) via the CAN / LIN bus or controller debugging interface.

[0005] Remote cloud upload: Upload predefined, simplified fault codes and status information to the backend via T-Box.

[0006] Physical extraction: Manually export data from the controller's built-in memory.

[0007] These existing technological approaches generally suffer from the following problems:

[0008] Fragmented scenarios and inefficiency: Different scenarios (R&D, road testing, after-sales) require different tools and processes, making it difficult to seamlessly integrate data. The data acquisition process heavily relies on manual on-site operations, resulting in slow response times, especially when vehicles are in motion or in remote areas, where data acquisition becomes virtually impossible.

[0009] Systemic interference and resource conflicts: Reading logs extensively through the vehicle diagnostic CAN bus can consume the communication bandwidth of critical control signals, potentially interfering with normal vehicle operation and even masking occasional faults related to bus load.

[0010] Low data value density: The traditional approach is "ask what, answer what," lacking systematic and context-dependent complete data records. When a fault is reproduced, the analysis often fails due to the lack of environmental data from related systems.

[0011] Lack of real-time and predictive capabilities: It is impossible to capture and remotely transmit real-time, high-fidelity data on sudden safety events (such as abnormal autonomous driving decisions or battery thermal runaway), making it difficult to support in-process intervention and in-depth post-event analysis. Summary of the Invention

[0012] The purpose of this invention is to provide an adaptive intelligent export method, device, and electronic device that can automatically provide the most suitable data export path.

[0013] This invention provides the following solution:

[0014] According to one aspect of the present invention, an adaptive intelligent export method is provided, the adaptive intelligent export method comprising:

[0015] Collect vehicle-side logs according to preset log collection rules;

[0016] Obtain multiple possible log transmission paths;

[0017] Calculate the total cost for each log transmission path;

[0018] Choose the log transmission path with the lowest overall cost as the actual log transmission path;

[0019] The collected vehicle logs are packaged according to the transmission protocol corresponding to the actual log transmission path.

[0020] Upload the packaged vehicle logs to the cloud.

[0021] Optionally, calculate the overall cost of each log transmission path, including:

[0022] The comprehensive cost of each log transmission path is calculated using a dynamic multi-dimensional cost function model.

[0023] Optionally, a dynamic multi-dimensional cost function model can be used to calculate the comprehensive cost of each log transmission path, including:

[0024] The total cost of each log transmission path is obtained by weighting and averaging the latency cost, bandwidth cost, financial cost, and reliability cost.

[0025] Optionally, the weighting factors for latency costs, bandwidth costs, financial costs, and reliability costs can be optimized by the cloud.

[0026] Optionally, the cloud can dynamically adjust the weighting coefficients based on the usage efficiency of each log transmission path.

[0027] Optionally, the cloud also handles:

[0028] Analyze massive amounts of data and provide suggestions for alternative log transmission paths.

[0029] Optionally, the cloud also handles:

[0030] Based on the current log transmission efficiency and system operation status, management strategies are pushed to the vehicle.

[0031] Optionally, the cloud also handles:

[0032] OTA updates of the dynamic multi-dimensional cost function model running on the vehicle side.

[0033] According to a second aspect of the present invention, an adaptive intelligent export device is provided, the adaptive intelligent export device comprising:

[0034] The collection module is used to collect vehicle logs according to preset log collection rules;

[0035] The acquisition module is used to acquire multiple possible log transmission paths;

[0036] The calculation module is used to calculate the overall cost of each log transmission path;

[0037] The selection module is used to select the log transmission path with the lowest overall cost as the actual log transmission path.

[0038] The packaging module is used to package the collected vehicle logs according to the transmission protocol corresponding to the actual log transmission path.

[0039] The upload module is used to upload the packaged vehicle logs to the cloud.

[0040] According to three aspects of the present invention, an electronic device is provided, the electronic device comprising:

[0041] Processor, communication interface, memory, and communication bus.

[0042] The processor, communication interface, and memory communicate with each other through a communication bus.

[0043] The memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the adaptive intelligent derivation method described above.

[0044] The above solution achieves the following beneficial technical effects:

[0045] Achieve full-scenario, adaptive data flow: Break down data silos and automatically provide the most suitable data export path based on the needs of scenarios such as R&D, road testing, and after-sales service, so as to achieve "data finding people and on-demand access";

[0046] Scientific decision-making and optimal resource allocation: Decisions are made through a quantitative cost model, interference with the vehicle control bus is intelligently avoided, and idle network resources are maximized to achieve dual optimization of system efficiency and economic benefits;

[0047] The system has the ability to evolve: the closed loop formed by cloud-based big data analysis and OTA strategy synchronization enables the decision-making model to continuously iterate and optimize based on massive amounts of actual operating data, becoming smarter the more it is used.

[0048] Improve problem-solving efficiency and safety: Provide in-depth data for R&D, provide precise guidance for after-sales service, and enable real-time data capture and reporting of sudden safety incidents, greatly shortening the problem location cycle and improving vehicle safety. Attached Figure Description

[0049] Figure 1 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention;

[0050] Figure 2 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention;

[0051] Figure 3 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention;

[0052] Figure 4 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention;

[0053] Figure 5 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention;

[0054] Figure 6 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention;

[0055] Figure 7 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention;

[0056] Figure 8 This is a structural diagram of the adaptive intelligent export device provided in one or more embodiments of the present invention;

[0057] Figure 9 This is a structural diagram of an electronic device provided in one or more embodiments of the present invention. Detailed Implementation

[0058] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] Figure 1 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention. See also... Figure 1 The adaptive intelligent export method includes the following steps:

[0060] S11 collects vehicle-side logs according to preset log collection rules.

[0061] S12, obtain multiple possible log transmission paths.

[0062] S13, calculate the total cost of each log transmission path.

[0063] S14. Select the log transmission path with the lowest overall cost as the actual log transmission path.

[0064] S15 packages the collected vehicle logs into data according to the transmission protocol corresponding to the actual log transmission path.

[0065] S16 uploads the packaged vehicle logs to the cloud.

[0066] With the rise of connected vehicles, the cloud frequently needs to obtain vehicle logs and perform corresponding analysis in order to understand the real-time operating status of various devices in the vehicle and optimize the management strategies accordingly.

[0067] However, given the highly heterogeneous nature of networks, there are several different options for the actual log upload path. For example, the vehicle can choose to upload via the T-Box's 4G or 5G channel, via a nearby WiFi access point, or via a USB connection to the user's own handheld device.

[0068] The existing technology does not provide a clear answer as to which path to use to perform the above log upload operation.

[0069] This embodiment addresses the aforementioned problems in the prior art by providing a log upload path selection scheme. By implementing this scheme, it can be ensured that the log upload path ultimately selected by the vehicle is an optimal path. In other words, it can find the most suitable path among multiple possible path selection schemes and perform fast and efficient log upload.

[0070] In this embodiment, the criterion for route selection on the vehicle side is called cost. That is, during the actual route selection process, the cost of each available path is calculated comprehensively, and the path with the lowest cost is ultimately selected to perform the corresponding log upload operation.

[0071] Because various factors are considered in the cost calculation process, the path selection criteria mentioned above, which is the cost mentioned earlier, is also known as comprehensive cost.

[0072] The prerequisite for vehicle-side log collection is that the vehicle-side has already completed the collection of log data.

[0073] The vehicle-side log collection is performed according to defined log collection rules.

[0074] Once the log collection is complete, the collected logs can be uploaded to the cloud.

[0075] For the same log upload operation, multiple different transmission paths can be selected simultaneously. After log collection is completed but before the actual log upload operation is executed, all possible log upload paths for this log upload operation are first obtained.

[0076] The possible log upload path can be obtained based on the previous log transmission path or based on the transmission method currently equipped on the vehicle.

[0077] After obtaining the possible upload paths, calculate the cost of each upload path.

[0078] In this embodiment, the upload cost for each path is calculated using a fixed cost calculation function.

[0079] After calculating the cost of each possible path, the costs of each path are compared to find the transmission path with the lowest cost.

[0080] Once the lowest-cost transmission path is obtained, the optimal log upload path selection has been completed.

[0081] Next, according to the protocol characteristics of the selected path, the log data to be uploaded is packaged to form the packaged log data.

[0082] After packaging the log data, upload the packaged data to the cloud according to the selected upload path.

[0083] By executing this embodiment, the upload cost of each possible upload path can be calculated according to a unified cost calculation function, and the path with the lowest cost can be selected from the multiple possible paths to complete the actual upload of logs, thereby achieving log upload at the lowest cost.

[0084] It is important to note that during a single path selection process, a uniform calculation standard is used for cost calculation across all possible transmission paths. For example, the same cost calculation function is applied to all possible transmission paths.

[0085] This approach ensures that the same standard is used to evaluate the costs of different transmission paths, thus achieving an objective assessment of each path. This also facilitates the objective and effective selection of actual transmission paths.

[0086] Figure 2 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention. See also... Figure 2 The adaptive intelligent export method includes the following steps:

[0087] S21, collect vehicle logs according to preset log collection rules.

[0088] S22, obtain multiple possible log transmission paths.

[0089] S23 uses a dynamic multi-dimensional cost function model to calculate the comprehensive cost of each log transmission path.

[0090] S24. Select the log transmission path with the lowest overall cost as the actual log transmission path.

[0091] S25 packages the collected vehicle logs according to the transmission protocol corresponding to the actual log transmission path.

[0092] S26, upload the packaged vehicle logs to the cloud.

[0093] This embodiment is based on the foregoing embodiments of the present invention, and further provides a specific implementation method for comprehensive cost calculation.

[0094] In this embodiment, the comprehensive cost calculation approach is a dynamic multidimensional cost function model. This model is composed of multiple parameters. Typically, these parameters include: latency cost, bandwidth cost, financial cost, and reliability cost.

[0095] The dynamic multidimensional cost function model can dynamically provide the final calculation result of the comprehensive cost based on the above-mentioned multidimensional parameters and its own calculation rules.

[0096] The reason why the above function model is considered a dynamic model is that the model parameters that significantly influence the final calculation result are all dynamically adjustable. In other words, the function model can adaptively adjust its parameters based on the current network conditions and the actual situation of each parameter, thereby making the overall cost of the final calculation output more closely match the actual needs.

[0097] For example, if one of the multidimensional parameters in the model has a value that remains high for a long time, then the weight parameter corresponding to that parameter can be reduced.

[0098] Figure 3 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention. See also... Figure 3The adaptive intelligent export method includes the following steps:

[0099] S31 collects vehicle-side logs according to preset log collection rules.

[0100] S32, obtain multiple possible log transmission paths.

[0101] S33 calculates a weighted average of latency cost, bandwidth cost, financial cost, and reliability cost to obtain the comprehensive cost of each log transmission path.

[0102] S34. Select the log transmission path with the lowest overall cost as the actual log transmission path.

[0103] S35 packages the collected vehicle logs according to the transmission protocol corresponding to the actual log transmission path.

[0104] S36 uploads the packaged vehicle logs to the cloud.

[0105] This embodiment is based on the foregoing embodiments of the present invention, and further provides a specific implementation scheme for comprehensive cost calculation.

[0106] As described in the foregoing embodiments of the present invention, the calculation of the comprehensive cost is accomplished based on the system's built-in dynamic multidimensional cost function model.

[0107] Specifically, the dynamic multidimensional cost function model has the following form:

[0108] C_total = α * C_latency + β * C_bandwidth + γ * C_financial + δ * C_reliability + ...

[0109] Where C_total represents the final calculated total cost. C_latency represents latency cost. C_bandwidth represents bandwidth cost. C_financial represents financial cost. C_reliability represents reliability cost.

[0110] α, β, γ, δ are the dynamic weight coefficients corresponding to several cost parameters. They are initially preset values ​​and are later optimized by the cloud.

[0111] Latency costs are calculated based on the urgency of the logs. Bandwidth costs are calculated based on the data volume and the occupancy of vehicle communication resources. Financial costs are the financial costs associated with each transmission path, such as cellular network traffic fees. Reliability costs refer to the reliability costs of each transmission path, which are derived from historical success rate assessments.

[0112] It is important to note that the dynamic weight coefficients corresponding to each input parameter of the model can be dynamically adjusted according to the current network conditions and cost values.

[0113] More specifically, the aforementioned dynamic adjustment process can involve collecting the calculation results of the comprehensive cost in real time, establishing a dynamic feedback mechanism for each dynamic weight system, and thus completing the dynamic adjustment of the dynamic weight coefficients.

[0114] Figure 4 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention. See also... Figure 4 The adaptive intelligent export method includes the following steps:

[0115] S41 collects vehicle-side logs according to preset log collection rules.

[0116] S42, obtain multiple possible log transmission paths.

[0117] S43, calculate the total cost of each log transmission path.

[0118] S44: Select the log transmission path with the lowest overall cost as the actual log transmission path.

[0119] S45 packages the collected vehicle logs according to the transmission protocol corresponding to the actual log transmission path.

[0120] S46 uploads the packaged vehicle logs to the cloud.

[0121] S47 analyzes massive amounts of data in the cloud and provides suggestions for alternative log transmission paths.

[0122] This embodiment is based on the foregoing embodiments of the present invention and further explains the process of cloud data processing.

[0123] In general, in the various embodiments of the present invention, the task undertaken by the cloud is to perform statistical analysis on multiple aspects such as the operation status and network status of the log upload system based on the log data uploaded by the vehicle and other types of configuration data, and then to control the operation process of the vehicle.

[0124] Specifically, in this embodiment, the task of the cloud is to analyze the massive amount of data collected and uploaded by the vehicle and then provide suggestions on alternative log transmission paths.

[0125] For example, after analyzing massive amounts of similar data in the cloud, it was found that for "driving + about 1MB + non-safety ERROR logs", if there is a 60-second delay, there is a high probability of connecting to free Wi-Fi, which can significantly save data traffic and has minimal impact on the timeliness of analysis.

[0126] At this point, the cloud will push a suggestion to the vehicle to delay the log packaging and uploading process by 60 seconds, and provide the SSID of the alternative WiFi access after the 60-second delay, so that the vehicle can connect and package and upload the logs after the 60-second delay.

[0127] Figure 5 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention. See also... Figure 5 The adaptive intelligent export method includes the following steps:

[0128] S51 collects vehicle logs according to preset log collection rules.

[0129] S52, obtain multiple possible log transmission paths.

[0130] S53, calculate the total cost of each log transmission path.

[0131] S54 selects the log transmission path with the lowest overall cost as the actual log transmission path.

[0132] The S55 packages the collected vehicle logs according to the transmission protocol corresponding to the actual log transmission path.

[0133] S56 uploads the packaged vehicle logs to the cloud.

[0134] S57: The cloud pushes management policies to the vehicle based on the current log transmission efficiency and system operation status.

[0135] This embodiment is based on the foregoing embodiments of the present invention and further provides another implementation method for cloud data processing.

[0136] In this embodiment, the cloud will monitor the log upload transmission rate in real time and push corresponding management policies to the vehicle based on the real-time monitoring results.

[0137] In this way, problems in system operation can be detected and dealt with in a timely manner.

[0138] For example, by monitoring the log upload rate, it was found that the log upload rate remained low for an extended period. After the cloud detects this issue, it can instruct the vehicle to re-execute the process of discovering and sorting the available paths in order to rediscover a usable log upload path.

[0139] Figure 6 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention. See also... Figure 6 The adaptive intelligent export method includes the following steps:

[0140] S61 collects vehicle-side logs according to preset log collection rules.

[0141] S62, obtain multiple possible log transmission paths.

[0142] S63, calculate the total cost of each log transmission path.

[0143] S64 selects the log transmission path with the lowest overall cost as the actual log transmission path.

[0144] S65 packages the collected vehicle logs into data according to the transmission protocol corresponding to the actual log transmission path.

[0145] S66 uploads the packaged vehicle logs to the cloud.

[0146] S67 performs OTA updates to the dynamic multi-dimensional cost function model running on the vehicle side via the cloud.

[0147] This embodiment is based on the foregoing embodiments of the present invention and further provides a technical solution for cloud data processing.

[0148] In this embodiment, the cloud performs OTA updates on the dynamic multi-dimensional cost function model running on the vehicle.

[0149] In this embodiment, the parameter updates of the dynamic multi-dimensional cost function model running on the vehicle are performed via an OTA (Over-The-Air) process in the cloud. Typically, the cloud can calculate the most suitable model parameters for the current network conditions based on the model's performance over a previous period and write these calculated model parameters into a pre-set configuration file. Then, this configuration file is transmitted to the vehicle via OTA, completing the OTA update of the dynamic multi-dimensional cost function model.

[0150] Figure 7 This is a flowchart of an adaptive intelligent export method provided in one or more embodiments of the present invention. See also... Figure 7 The adaptive intelligent export method includes the following steps:

[0151] S71, log generates events.

[0152] S702, Evaluate multi-dimensional attributes.

[0153] S703 is the cost function C_total for each available path.

[0154] S704, sort by cost and select the C_min path.

[0155] S705: Determine if it is the highest emergency level. If yes, proceed to S706; otherwise, proceed to S707.

[0156] S706, immediately initiate multi-channel concurrent transmission, and continue executing S713.

[0157] S707, Is the selected path currently available? If available, proceed to S708; if not available, proceed to S709.

[0158] S708, use this path to transmit immediately, and continue with S713.

[0159] S709, logs are temporarily stored in the local cache.

[0160] S710 continuously monitors path status.

[0161] S711: Determine if the path has become available. If it has, execute S712. If it has not, return to execute S710.

[0162] S712, retrieve and transmit from the buffer, then continue execution of S713.

[0163] S713 records the performance metadata of this transmission.

[0164] S714 performance metadata is uploaded to the cloud.

[0165] Figure 8 This is a structural diagram of an adaptive intelligent export device provided in one or more embodiments of the present invention. See also... Figure 8 The adaptive intelligent export device includes:

[0166] The collection module 81 is used to collect vehicle logs according to preset log collection rules.

[0167] The acquisition module 82 is used to acquire multiple possible log transmission paths.

[0168] The calculation module 83 is used to calculate the overall cost of each log transmission path.

[0169] Selection module 84 is used to select the log transmission path with the lowest overall cost as the actual log transmission path.

[0170] The packaging module 85 is used to package the collected vehicle logs according to the transmission protocol corresponding to the actual log transmission path.

[0171] Upload module 86 is used to upload the packaged vehicle logs to the cloud.

[0172] It is worth noting that although only some basic functional modules are disclosed in the embodiments of this invention, it does not mean that the composition of this system is limited to the above-mentioned basic functional modules. On the contrary, what this embodiment intends to express is that, based on the above-mentioned basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with existing technology to form an infinite number of embodiments or technical solutions. That is to say, this system is open rather than closed. The fact that this embodiment only discloses a few basic functional modules should not be considered as the scope of protection of the claims of this invention being limited to the disclosed basic functional modules. At the same time, for the convenience of description, the above device is described separately according to its functions as various units and modules. Of course, in implementing this invention, the functions of each unit and module can be implemented in one or more software and / or hardware.

[0173] like Figure 9 As shown, the present invention also provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the adaptive intelligent derivation method.

[0174] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. For example... Figure 9 The structure shown in this embodiment of the invention includes an electronic device comprising one or more processors 910 and a memory 920; the processors 910 in this electronic device may be one or more. Figure 9 Taking a processor 910 as an example; memory 920 is used to store one or more programs; the one or more programs are executed by the one or more processors 910, so that the one or more processors 910 implement the adaptive intelligent export method as described in any one of the embodiments of the present invention.

[0175] The electronic device may also include an input device 930 and an output device 940.

[0176] The processor 910, memory 920, input device 930, and output device 940 in this electronic device can be connected via a bus or other means. Figure 9 Taking the example of a connection between China and Israel via a bus.

[0177] The memory 920 in this electronic device serves as a computer-readable storage medium, capable of storing one or more programs. These programs can be software programs, computer-executable programs, or modules, such as the program instructions / modules corresponding to the adaptive intelligent derivation method provided in this embodiment. The processor 910 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 920, thereby implementing the adaptive intelligent derivation method described in the above embodiment.

[0178] The memory 920 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the electronic device. Furthermore, the memory 920 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 920 may further include memory remotely located relative to the processor 910, which can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0179] Input device 930 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the electronic device. Output device 940 may include display devices such as a display screen.

[0180] The present invention also provides a computer-readable storage medium, comprising: storing a computer program executable by a vehicle, which, when run on the vehicle, causes the vehicle to perform the steps of the adaptive intelligent export method.

[0181] Specifically, the computer storage medium in this embodiment of the invention can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be—but is not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0182] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An adaptive intelligent export method, characterized in that, The adaptive intelligent export method includes: Collect vehicle-side logs according to preset log collection rules; Obtain multiple possible log transmission paths; Calculate the total cost for each log transmission path; Choose the log transmission path with the lowest overall cost as the actual log transmission path; The collected vehicle logs are packaged according to the transmission protocol corresponding to the actual log transmission path. Upload the packaged vehicle logs to the cloud.

2. The method according to claim 1, characterized in that, Calculate the overall cost of each log transmission path, including: The comprehensive cost of each log transmission path is calculated using a dynamic multi-dimensional cost function model.

3. The method according to claim 2, characterized in that, Using a dynamic multi-dimensional cost function model, the comprehensive cost of each log transmission path is calculated, including: The total cost of each log transmission path is obtained by weighting and averaging the latency cost, bandwidth cost, financial cost, and reliability cost.

4. The method according to claim 3, characterized in that, The weighted average of latency costs, bandwidth costs, financial costs, and reliability costs is optimized by the cloud.

5. The method according to claim 4, characterized in that, The cloud dynamically adjusts the weighting coefficients based on the utilization efficiency of each log transmission path.

6. The method according to claim 5, characterized in that, The cloud also handles: Analyze massive amounts of data and provide suggestions for alternative log transmission paths.

7. The method according to claim 6, characterized in that, The cloud also handles: Based on the current log transmission efficiency and system operation status, management policies are pushed to the vehicle.

8. The method according to claim 7, characterized in that, The cloud also handles: OTA updates of the dynamic multi-dimensional cost function model running on the vehicle.

9. An adaptive intelligent export device, characterized in that, The adaptive intelligent export device includes: The collection module is used to collect vehicle logs according to preset log collection rules; The acquisition module is used to acquire multiple possible log transmission paths; The calculation module is used to calculate the overall cost of each log transmission path; The selection module is used to select the log transmission path with the lowest overall cost as the actual log transmission path. The packaging module is used to package the collected vehicle logs according to the transmission protocol corresponding to the actual log transmission path. The upload module is used to upload the packaged vehicle logs to the cloud.

10. An electronic device, characterized in that, The electronic device includes: Processor, communication interface, memory, and communication bus. The processor, communication interface, and memory communicate with each other through a communication bus. The memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the adaptive intelligent derivation method according to any one of claims 1 to 8.

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