Methods and arrangements for managing data collection relating to equipment in an asset network. A model is trained based on historical data relative to equipment in the asset network, wherein the model is employed for recommending at least one action for further data collection from the equipment. The model is adapted based on inputs comprising two or more of: historical sensor data, from one or more sensors obtaining data relative to the equipment; equipment maintenance and/or replacement data; a current system state; and a geographical position of one or more individuals who report data. The adapted model is employed to recommend at least one subsequent best action for collecting data relative to the equipment. Other variants and embodiments are broadly contemplated herein.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of managing data collection relating to equipment in an asset network, said method comprising: utilizing at least one processor to execute computer code that performs the steps of: training a model based on historical data relative to equipment in the asset network, wherein the model is employed for recommending at least one action for further data collection from the equipment; adapting the model based on inputs comprising two or more of: historical sensor data, from one or more sensors obtaining data relative to the equipment; equipment maintenance and/or replacement data; a current system state; and a geographical position of one or more individuals who report data; and employing the adapted model to recommend at least one subsequent best action for collecting data relative to the equipment. 2. The method according to claim 1, wherein said adapting comprises adapting the model based on inputs comprising a geographical position of one or more individuals who report data. 3. The method according to claim 2, wherein the geographical position of each of the one or more individuals who report data comprises a geographical position of one or more mobile devices. 4. The method according to claim 1, wherein said adapting comprises adapting the model based on inputs comprising all of: historical sensor data; equipment maintenance and/or replacement data; a current system state; and a geographical position of one or more individuals who report data. 5. The method according to claim 1, wherein said adapting comprises adapting the model based on inputs comprising one or more of: planned and/or unplanned equipment maintenance costs; and inventory of spare parts and/or skilled labor. 6. The method according to claim 1, wherein said training comprises learning rules and/or patterns based on the historical data. 7. The method according to claim 1, wherein the recommended at least one subsequent best action includes a decision on whether to collect data using a mobile device. 8. The method according to claim 7, wherein the mobile device comprises a smartphone or other mobile handheld device. 9. The method according to claim 1, wherein the recommended at least one subsequent best action includes a decision on at least one of: equipment from which to collect data; and a data collection time. 10. An apparatus for managing data collection relating to equipment in an asset network, said apparatus comprising: at least one processor; and a computer readable storage medium having computer readable program code embodied therewith and executable by the at least one processor, the computer readable program code comprising: computer readable program code configured to train a model based on historical data relative to equipment in the asset network, wherein the model is employed for recommending at least one action for further data collection from the equipment; computer readable program code configured to adapt the model based on inputs comprising two or more of: historical sensor data, from one or more sensors obtaining data relative to the equipment; equipment maintenance and/or replacement data; a current system state; and a geographical position of one or more individuals who report data; and computer readable program code configured to employ the adapted model to recommend at least one subsequent best action for collecting data relative to the equipment. 11. A computer program product for managing data collection relating to equipment in an asset network, said computer program product comprising: a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to train a model based on historical data relative to equipment in the asset network, wherein the model is employed for recommending at least one action for further data collection from the equipment; computer readable program code configured to adapt the model based on inputs comprising two or more of: historical sensor data, from one or more sensors obtaining data relative to the equipment; equipment maintenance and/or replacement data; a current system state; and a geographical position of one or more individuals who report data; and computer readable program code configured to employ the adapted model to recommend at least one subsequent best action for collecting data relative to the equipment. 12. The computer program product according to claim 11, wherein the adapting comprises adapting the model based on inputs comprising a geographical position of one or more individuals who report data. 13. The computer program product according to claim 12, wherein the geographical position of each of the one or more individuals who report data comprises a geographical position of one or more mobile devices. 14. The computer program product according to claim 11, wherein said adapting comprises adapting the model based on inputs comprising all of: historical sensor data; equipment maintenance and/or replacement data; a current system state; and a geographical position of one or more individuals who report data. 15. The computer program product according to claim 11, wherein said adapting comprises adapting the model based on inputs comprising one or more of: planned and/or unplanned equipment maintenance costs; and inventory of spare parts and/or skilled labor. 16. The computer program product according to claim 11, wherein said training comprises learning rules and/or patterns based on the historical data. 17. The computer program product according to claim 11, wherein the recommended at least one subsequent best action includes a decision on whether to collect data using a mobile device. 18. The computer program product according to claim 17, wherein the mobile device comprises a smartphone or other mobile handheld device. 19. The computer program product according to claim 11, wherein the recommended at least one subsequent best action includes a decision on at least one of: equipment from which to collect data; and a data collection time. 20. A method comprising: training a model based on historical data relative to equipment in an asset network, wherein the model is employed for recommending at least one action; wherein said training comprises learning rules and/or patterns based on the historical data; adapting the model based on inputs comprising: historical sensor data; equipment maintenance and/or replacement data; a current system state; and a geographical position of one or more individuals who report data; wherein the geographical position of each of the one or more individuals who report data comprises determining a geographical position of one or more mobile devices; and employing the adapted model to recommend at least one subsequent best action; wherein the recommended at least one subsequent best action includes: a decision on whether to collect data using a mobile device; and a decision on at least one of: equipment from which to collect data; and a data collection time.