Calling method, device and equipment of baseline network and storage medium

Abstract

The application discloses a baseline network calling method and device, equipment and a storage medium, and is applied to the fields of cloud technology, artificial intelligence, intelligent transportation, and auxiliary driving. A plurality of reference stations are grouped to obtain a plurality of groups of reference stations, and the plurality of groups of reference stations are respectively subjected to grid division to obtain a plurality of baseline networks. When determining a station observation value of a to-be-processed virtual reference station, if it is detected that an abnormality occurs in a target reference station, and it is determined according to position information of the to-be-processed virtual reference station that the to-be-processed virtual reference station is located in a grid unit of a first baseline network to which the target reference station belongs, a second baseline network corresponding to the to-be-processed virtual reference station is determined from the remaining baseline networks. The target reference station is not included in the remaining baseline networks, so the second baseline network does not contain the target reference station, and therefore, even if the target reference station has an abnormality, the baseline in the second baseline network for determining the station observation value of the to-be-processed virtual reference station is still effective, and the calling accuracy of the baseline network and the continuous availability of positioning service are ensured.

Claims

1. A method for invoking a baseline network, characterized in that, The method includes: Obtain the location information of the virtual reference station to be processed; Based on the location information of the virtual reference station to be processed and multiple baseline networks, the station observation values ​​of the virtual reference station to be processed are determined. The multiple baseline networks are obtained by dividing multiple sets of reference stations into grids, and the multiple sets of reference stations are obtained by grouping multiple reference stations. In the process of determining the station observation values ​​of the virtual reference station to be processed, if an anomaly is detected in the target reference station, and it is determined from the location information of the virtual reference station to be processed that the virtual reference station to be processed is located in the grid cell of the first baseline network to which the target reference station belongs, the second baseline network corresponding to the virtual reference station to be processed is determined from the remaining baseline networks. The multiple baseline networks include the first baseline network, and the remaining baseline networks are the baseline networks that do not include the target reference station among the multiple baseline networks. The station observations of the virtual reference station to be processed are determined using the second baseline network.

2. The method according to claim 1, characterized in that, The step of determining the station observations of the virtual reference station to be processed based on the location information of the virtual reference station and multiple baseline networks includes: Obtain the highest priority baseline network among the multiple baseline networks; The station observations of the virtual reference station to be processed are determined based on the location information of the virtual reference station to be processed and the baseline network with the highest priority.

3. The method according to claim 2, characterized in that, The first baseline network is the highest priority baseline network. Determining that the virtual reference station to be processed is located within the grid cell of the first baseline network to which the target reference station belongs, based on the location information of the virtual reference station to be processed, includes: Based on the location information of the virtual reference station to be processed, determine the first grid cell corresponding to the virtual reference station to be processed in the highest priority baseline network; The reference station closest to the virtual reference station to be processed in the first grid cell is determined as the first master station; Obtain the first baseline list of the first master station; If the target reference station is included in the baselines in the first baseline list, the virtual reference station to be processed is determined to be located in the grid cell of the highest priority baseline network to which the target reference station belongs.

4. The method according to claim 2, characterized in that, The second baseline network is the highest priority baseline network among the remaining baseline networks.

5. The method according to claim 3, characterized in that, The method further includes: If the target reference station is not included in the first baseline list, obtain the station observations of the virtual reference station to be processed in the highest priority baseline network.

6. The method according to claim 5, characterized in that, The step of obtaining the site observations of the virtual reference station to be processed from the highest priority baseline network includes: The station observation values ​​of the virtual reference station to be processed are calculated using the satellite data of the first master station and the baseline corrections of the baselines in the first baseline list.

7. The method according to any one of claims 1-6, characterized in that, The step of determining the site observations of the virtual reference station to be processed using the second baseline network includes: Based on the location information of the virtual reference station to be processed, determine the second grid cell corresponding to the virtual reference station in the second baseline network; The reference station in the second grid cell that is closest to the virtual reference station to be processed is determined as the second master station; Obtain the second baseline list of the second master station; The station observations of the virtual reference station to be processed are calculated using the satellite data of the second master station and the baseline corrections of the baselines in the second baseline list.

8. The method according to any one of claims 1-6, characterized in that, The step of determining the site observations of the virtual reference station to be processed using the second baseline network includes: From the site observations corresponding to the virtual reference station in the multiple baseline networks, the site observations corresponding to the virtual reference station in the second baseline network are selected as the site observations of the virtual reference station.

9. The method according to any one of claims 1-6, characterized in that, The method further includes: Obtain the location information corresponding to the multiple base stations respectively; Based on the location information corresponding to the multiple base stations, the multiple base stations are grouped to obtain the multiple groups of base stations; The multiple baseline networks are obtained by dividing the multiple sets of reference stations into grids.

10. The method according to claim 9, characterized in that, The step involves dividing the multiple base stations into multiple groups based on their respective location information, resulting in multiple groups of base stations, including: Based on the location information corresponding to the multiple base stations, the multiple base stations are sorted according to the distance between the base stations to obtain a base station sequence; The reference station sequence is sampled at equal intervals, and the multiple sets of reference stations are obtained based on the sampling grouping results.

11. The method according to claim 10, characterized in that, The plurality of base stations are N base stations. In the base station sequence, the (i+1)th base station is the base station closest to the i-th base station among the last Ni base stations, i = 1, 2, ..., N, where N is an integer greater than 1.

12. The method according to claim 10, characterized in that, The process involves sampling the reference station sequence at equal intervals and obtaining multiple sets of reference stations based on the sampling grouping results, including: The reference station sequence is sampled at equal intervals to obtain sampling grouping results; The multiple sets of reference stations are determined based on the sampling grouping results and the full grouping results composed of the multiple reference stations.

13. The method according to claim 10, characterized in that, The step of sorting the multiple base stations according to the distance between them to obtain a base station sequence based on the location information corresponding to each base station includes: The location information corresponding to the multiple base stations is encoded to convert the location information from multi-dimensional information to one-dimensional information, so as to obtain the encoding result corresponding to each base station. The multiple base stations are sorted according to the encoding results to obtain the base station sequence.

14. A baseline network recall device, characterized in that, The device includes an acquisition unit, a determination unit, and a detection unit: The acquisition unit is used to acquire the location information of the virtual reference station to be processed; The determining unit is used to determine the station observation value of the virtual reference station to be processed based on the location information of the virtual reference station to be processed and multiple baseline networks. The multiple baseline networks are obtained by dividing multiple sets of reference stations into grids respectively, and the multiple sets of reference stations are obtained by grouping multiple reference stations. In the process of determining the site observation values ​​of the virtual reference station to be processed, if the detection unit detects an anomaly in the target reference station and determines, based on the location information of the virtual reference station to be processed, that the virtual reference station to be processed is located within the grid cell of the first baseline network to which the target reference station belongs, the determining unit is further configured to determine the second baseline network corresponding to the virtual reference station to be processed from the remaining baseline networks, wherein the plurality of baseline networks includes the first baseline network, and the remaining baseline networks are the baseline networks among the plurality of baseline networks that do not include the target reference station; The determining unit is further configured to use the second baseline network to determine the site observations of the virtual reference station to be processed.

15. A computer device, characterized in that, The computer device includes a processor and memory: The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the method according to any one of claims 1-13 according to the instructions in the program code.

16. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program code that, when executed by a processor, causes the processor to perform the method according to any one of claims 1-13.

17. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method described in any one of claims 1-13.

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