MOBILE SENSING FOR BEHAVIOR MONITORING
A method of behavior monitoring includes receiving, from a first sensor of a mobile sensor platform, first sensor data indicative of operation of a monitored device, wherein the monitored device is distinct from the mobile sensor platform; providing, as input to a trained behavior model associated with the monitored device, input data based at least in part on the first sensor data to generate behavior model output data; generating, based on the behavior model output data, a control command; and sending the control command to the mobile sensor platform or the monitored device.
1 . A method comprising:
receiving, from a first sensor of a mobile sensor platform, first sensor data indicative of operation of a monitored device, wherein the monitored device is distinct from the mobile sensor platform;
providing, as input to a trained behavior model associated with the monitored device, input data based at least in part on the first sensor data to generate behavior model output data;
generating, based on the behavior model output data, a control command; and
sending the control command to the mobile sensor platform or the monitored device.
2 . The method of claim 1 , further comprising selecting the trained behavior model from among a plurality of trained behavior models, wherein each of the plurality of trained behavior models is associated with one or more monitored devices.
3 . The method of claim 2 , wherein selecting the trained behavior model comprises selecting the trained behavior model based on a model selection criterion, the model selection criterion associated with a location of the mobile sensor platform.
4 . The method of claim 2 , wherein selecting the trained behavior model comprises selecting the trained behavior model based on a model selection criterion, the model selection criterion associated with a device type of the monitored device.
5 . The method of claim 2 , wherein selecting the trained behavior model comprises selecting the trained behavior model based on a model selection criterion, the model selection criterion associated with a maintenance history of the monitored device.
6 . The method of claim 1 , wherein the input data is provided as input to the trained behavior model by a computing device, wherein the computing device is distinct from the mobile sensor platform and the monitored device.
7 . The method of claim 6 , further comprising:
prior to providing the input data, preprocessing the first sensor data at the mobile sensor platform; and
communicating the preprocessed first sensor data to the computing device.
8 . The method of claim 1 , wherein the behavior model output data is generated by a computing device, wherein the computing device is distinct from the mobile sensor platform and the monitored device.
9 . The method of claim 8 , further comprising:
prior to providing the input data, preprocessing the first sensor data at the mobile sensor platform; and
communicating the preprocessed first sensor data to the computing device.
10 . The method of claim 1 , wherein the mobile sensor platform comprises an autonomous or semi-autonomous vehicle comprising a propulsion system and a navigation system.
11 . The method of claim 10 , wherein the mobile sensor platform comprises an unmanned aerial vehicle.
12 . The method of claim 10 , wherein the mobile sensor platform is configured to automatically select the monitored device from among a plurality of monitored devices based on a device monitoring criterion.
13 . The method of claim 12 , wherein the device monitoring criterion comprises a temporal criterion.
14 . The method of claim 13 , wherein the temporal criterion comprises a criterion associated with a particular time of day.
15 . The method of claim 14 , wherein the temporal criterion comprises a criterion associated with a particular day.
16 . The method of claim 14 , wherein the temporal criterion comprises a criterion associated with a particular period of time associated with an operational schedule or a maintenance schedule for the monitored device.
17 . The method of claim 14 , wherein the temporal criterion comprises a criterion identifying a particular sensing time period.
18 . A system for behavior monitoring, the system comprising:
one or more processors configured to:
receive, from a first sensor of a mobile sensor platform, first sensor data indicative of operation of a monitored device, wherein the monitored device is distinct from the mobile sensor platform;
provide, as input to a trained behavior model associated with the monitored device, input data based at least in part on the first sensor data to generate behavior model output data;
generate, based on the behavior model output data, a control command; and
send the control command to the mobile sensor platform or the monitored device.
19 . The system of claim 18 , wherein the control command instructs a first component of the monitored device to modify operation of a second component of the monitored device.
20 . A computer-readable storage device storing instructions that, when executed by one or more processors, cause the one or more processors to:
receive, from a first sensor of a mobile sensor platform, first sensor data indicative of operation of a monitored device, wherein the monitored device is distinct from the mobile sensor platform;
provide, as input to a trained behavior model associated with the monitored device, input data based at least in part on the first sensor data to generate behavior model output data;
generate, based on the behavior model output data, a control command; and
send the control command to the mobile sensor platform or the monitored device.