Data acquisition methods, devices, systems, and equipment

Abstract

The present application discloses a data acquisition method, apparatus, system and device, which belong to the data processing field. In an embodiment of the data acquisition method of the present application, the method includes: a first network side device sending a first data acquisition request to a second network side device, the first data acquisition request being used to request target data; the target data being used to determine performance information of the target model; the first network side device receiving storage information from the second network side device and acquiring the target data based on the storage information; and the first network side device analyzing the target data to obtain performance information of the target model.

Claims

1. A method for acquiring data, The first network-side device transmits a first data acquisition request to a second network-side device, the first data acquisition request being used to request target data, and the target data being used to determine performance information of the target model. The first network-side device acquires the target data from the second network-side device, The first network-side device includes analyzing the target data and obtaining performance information of the target model. A data acquisition method comprising the first network-side device including a model training logic function MTLF, and the second network-side device including an analysis logic function AnLF.

2. The first data acquisition request includes: Identifier information for the analysis task corresponding to the target model, and analytical filter information for the analysis task that specifies the limiting conditions for the target data of the analysis task, Target of analytical reporting, Model identifier information corresponding to the aforementioned target model, The data type information of the aforementioned target data, The time information of the aforementioned target data, The location information of the aforementioned target data, A data acquisition method according to claim 1, wherein a first instruction information is used to indicate a source for collecting the target data desired by the first network-side device, and the source includes one or more of the second network-side device, the third network-side device, and the fourth network-side device, wherein the third network-side device is used to store the target data, and the fourth network-side device carries at least one of the first instruction information which is the data source of the target data.

3. The data acquisition method according to claim 1, wherein the target data includes one or more of the input data, output data, and label data of the target model.

4. The data acquisition method according to claim 3, wherein the label data corresponding to the target model includes actually generated data related to the input data and / or output data corresponding to the target model.

5. The output data mentioned above is a prediction. Or, The data acquisition method according to claim 3, wherein the label data is ground truth or an actual measurement.

6. Before the first network-side device analyzes the target data and obtains performance information for the target model, the data acquisition method is: The data acquisition method according to claim 1, further comprising the first network-side device receiving request information from the second network-side device, wherein the request information is used to indicate a minimum requirement for performance information of the target model.

7. After the first network-side device analyzes the target data and obtains performance information of the target model, the data acquisition method is: The data acquisition method according to any one of claims 1 to 6, further comprising the first network-side device transmitting the target model to any one device requesting the target model if the performance information satisfies pre-set conditions.

8. After the first network-side device analyzes the target data and obtains performance information of the target model, the data acquisition method is: The data acquisition method according to any one of claims 1 to 6, further comprising the first network-side device updating the model parameters of the target model based on the performance information.

9. After the first network-side device analyzes the target data and obtains performance information of the target model, the data acquisition method is: The data acquisition method according to any one of claims 1 to 6, further comprising the first network-side device feeding back the performance information to the second network-side device if the performance information does not meet the model performance request corresponding to the model performance request information.

10. The first network-side device analyzes the target data and obtains performance information of the target model. The data acquisition method according to any one of claims 1 to 6, wherein the first network-side device calculates target data and obtains performance information of the target model.

11. The data acquisition method according to any one of claims 1 to 6, wherein the performance information of the target model includes accuracy.

12. The aforementioned first network-side device calculates target data and obtains performance information for the target model. The aforementioned first network-side device includes calculating performance information of the target model by comparing label data and output data. The data acquisition method according to claim 10.

13. A method for acquiring data, The second network-side device receives a first data acquisition request from the first network-side device, wherein the first data acquisition request is used to request target data, and the target data is used to determine performance information of the target model. The second network-side device transmits the target data to the first network-side device, A data acquisition method comprising the first network-side device including a model training logic function MTLF, and the second network-side device including an analysis logic function AnLF.

14. The first data acquisition request includes: Identifier information for the analysis task corresponding to the aforementioned target model, Analysis filtering information for the analysis task, which specifies limiting conditions for the target data of the analysis task, Subjects of analysis and reporting, Model identifier information corresponding to the aforementioned target model, The data type information of the aforementioned target data, The time information of the aforementioned target data, The location information of the aforementioned target data, The data acquisition method according to claim 13, wherein a first instruction information is used to indicate a source of the target data desired by the first network-side device, and the source of the target data includes one or more of the second network-side device, the third network-side device, and the fourth network-side device, wherein the third network-side device is used to store the target data, and the fourth network-side device carries at least one of the first instruction information which is the data source of the target data.

15. The second network-side device transmits the target data to the first network-side device. The data acquisition method according to claim 13, comprising the second network-side device transmitting the target data and request information to the first network-side device, wherein the request information is used to indicate the minimum requirement for performance information of the target model.

16. The data acquisition method according to claim 13, wherein the target data includes one or more of the input data, output data, and label data of the target model.

17. The data acquisition method according to claim 16, wherein the label data corresponding to the target model includes actually generated data related to the input data and / or output data corresponding to the target model.

18. The aforementioned data acquisition method is: The data acquisition method according to claim 13, further comprising the second network-side device receiving the performance information fed back from the first network-side device.

19. The data acquisition method according to any one of claims 13 to 18, wherein the performance information of the target model includes accuracy.

20. A data acquisition device, A request module used to send a first data acquisition request to a second network-side device, the first data acquisition request used to request target data, and the target data is used to determine performance information of a target model. An acquisition module, comprising an acquisition module for acquiring the target data from the second network-side device, Includes an analysis module for analyzing the target data to obtain performance information of the target model, The second network-side device is a data acquisition device including an analytical logic function (AnLF).

21. A data acquisition device, in which, A receiving module used to receive a first data acquisition request from a first network-side device, the first data acquisition request being used to request target data, and the target data being used to determine performance information of a target model. A transmitting module, which is used to transmit the target data to the first network-side device, The first network-side device is a data acquisition device including a model training logic function (MTLF).

22. A data acquisition system, comprising a first network-side device and a second network-side device, wherein The first network-side device transmits a first data acquisition request to the second network-side device, the first data acquisition request is used to request target data, and the target data is used to determine performance information of the target model. The second network-side device is used to receive the first data acquisition request and to instruct the first network-side device to transmit the target data. The first network-side device acquires the target data, The first network-side device includes analyzing the target data and obtaining performance information of the target model. A data acquisition system in which the first network-side device includes a model training logic function MTLF, and the second network-side device includes an analysis logic function AnLF.

23. A device comprising a processor and memory, wherein the memory stores a program or instruction that can be executed on the processor, and when the program or instruction is executed by the processor, the device realizes the steps of the data acquisition method described in any one of claims 1 to 6 or 13 to 18.

24. A computer program that, when executed by a processor, realizes the steps of the data acquisition method described in any one of claims 1 to 6 or 13 to 18.

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