Method to improve performance, manufacturing, and design of a satellite antenna
System and methods are disclosed for improving manufacturing processes, improving manufactured products, and improving deployed devices. The devices can be reconfigurable holographic antennas (“antennas”). Manufacturing test results for a plurality of antennas is collected. Field performance data and antenna management information is collected for a plurality of deployed antennas. Query selection criteria, machine learning correlation criteria and a minimum correlation threshold are passed to a server to query for matching records from a data store and to perform machine learning on the query results to generate improvements to processes, manufactured antenna performance and deployed antenna performance.
1. A computer-implemented method for improving a process of manufacturing an antenna or improving the antenna, the method; comprising:
receiving selection criteria for querying a database of configuration and performance information of a plurality of antennas and correlation criteria for performing machine learning on results returned from querying the database;
in response to receiving query results matching the selection criteria, performing machine learning on the query results according to the correlation criteria that includes a minimum correlation threshold indicating an effectiveness of one or more updates or changes to configuration of the plurality of antennas;
receiving a proposed improvement to a process of manufacturing an antenna or a proposed improvement to the antenna;
deploying an improved process of manufacturing the antenna or an improvement to the antenna if the machine learning resulted in correlation of the results returned from querying the database to the correlation criteria meeting or exceeding the minimum correlation threshold.
2. The method of claim 1 , wherein the database comprises configuration and performance data of a plurality of manufactured antennas and a plurality of deployed antennas.
3. The method of claim 2 , wherein the configuration and performance data of a deployed antenna is updated in response to updating the deployed antenna.
4. The method of claim 1 , wherein the query results include both manufacturing testing information and field update information for each of one or more antennas.
5. The method of claim 1 , wherein the query results include changes to performance information for each of one or more antennas over a specified period of time.
6. A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations for improving a process of manufacturing an antenna or improving the antenna, the operations comprising:
receiving selection criteria for querying a database of configuration and performance information of a plurality of antennas and correlation criteria for performing machine learning on results returned from querying the database;
in response to receiving query results matching the selection criteria, performing machine learning on the query results according to the correlation criteria that includes a minimum correlation threshold indicating an effectiveness of one or more updates or changes to configuration of the plurality of antennas;
receiving a proposed improvement to a process of manufacturing the antenna, or a proposed improvement to the antenna;
deploying an improved process of manufacturing the antenna or the improvement to the antenna if the machine learning resulted in correlation of the results returned from querying the database to the correlation criteria meeting or exceeding the minimum correlation threshold.
7. The medium of claim 6 , wherein the database comprises configuration and performance data of a plurality of manufactured antennas and a plurality of deployed antenna.
8. The medium of claim 7 , wherein the configuration and performance data of a deployed antenna is updated in response to updating the deployed antenna.
9. The medium of claim 6 , wherein the query results include both manufacturing testing information and field update information for each of one or more antennas.
10. The medium of claim 6 , wherein the query results include changes to performance information for each of one or more antennas over a specified period of time.
11. A data processing system, comprising:
a processor; and
a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations for improving a process of manufacturing an antenna or improving the antenna, the operations including:
receiving selection criteria for querying a database of configuration and performance information of a plurality of antennas and correlation criteria for performing machine learning on results returned from querying the database;
in response to receiving query results matching the selection criteria, performing machine learning on the query results according to the correlation criteria that includes a minimum correlation threshold indicating an effectiveness of one or more updates or changes to configuration of the plurality of antennas;
receiving a proposed improvement to a process of manufacturing the antenna, or a proposed improvement to the antenna;
deploying an improved process of manufacturing the antenna or the improvement to the antenna if the machine learning resulted in correlation of the results returned from querying the database to the correlation criteria meeting or exceeding the minimum correlation threshold.
12. The system of claim 11 , wherein the database comprises configuration and performance data of a plurality of manufactured antennas and a plurality of deployed antennas.
13. The system of claim 12 , wherein the configuration and performance data of a deployed antenna is updated in response to updating the deployed antenna.
14. The system of claim 11 , wherein the query results include both manufacturing testing information and field update information for each of one or more antennas.
15. The system of claim 11 , wherein the query results include changes to performance information for each of one or more antennas over a specified period of time.