Automatic sensor detection
Frames of data are received. Each frame includes at least a sensor identifier and a changeable data field and is sent from one of a plurality of sensors. Each of the plurality of sensors is associated with a respective one of a plurality of sensor identifiers. The changeable data field includes, in some of the frames, data representing a sensed condition and, in others of the frames, counter data. The counter data is analyzed to determine whether any of the sensor identifiers can be associated with one of a plurality of sensor locations.
1. A method, comprising:
receiving frames of data, wherein each frame includes at least a sensor identifier and a changeable data field and is sent from one of a plurality of sensors, whereby each of the plurality of sensors is associated with a respective one of a plurality of sensor identifiers, and wherein the changeable data field includes, in some of the frames, data representing a sensed condition and, in others of the frames, counter data; wherein the changeable data field includes the counter data only during an auto-learn operation, and includes only data representing a sensed condition after the auto-learn operation is terminated; and
analyzing the counter data to determine whether any of the sensor identifiers can be associated with one of a plurality of sensor locations.
2. The method of claim 1 , wherein the data representing the sensed condition is temperature data.
3. The method of claim 1 , further comprising storing an assignment of one of the sensor identifiers to one of the sensor locations.
4. The method of claim 1 , further comprising raising a fault condition on determining that no sensor identifiers can be associated with one of a plurality of sensor locations.
5. The method of claim 1 , wherein analyzing the counter data includes generating a pareto of the counter data.
6. The method of claim 1 , wherein the sensors are included in a vehicle tire pressure monitoring system.
7. A computing device, comprising a processor and a memory, the memory including instructions executable by the processor for:
receiving frames of data, wherein each frame includes at least a sensor identifier and a changeable data field and is sent from one of a plurality of sensors, whereby each of the plurality of sensors is associated with a respective one of a plurality of sensor identifiers, and wherein the changeable data field includes, in some of the frames, data representing a sensed condition and, in others of the frames, counter data; wherein the changeable data field includes the counter data only during an auto-learn operation, and includes only data representing a sensed condition after the auto-learn operation is terminated; and
analyzing the counter data to determine whether any of the sensor identifiers can be associated with one of a plurality of sensor locations.
8. The device of claim 7 , wherein the data representing the sensed condition is temperature data.
9. The device of claim 7 , the instructions further comprising instructions for storing an assignment of one of the sensor identifiers to one of the sensor locations.
10. The device of claim 7 , the instructions further comprising instructions for raising a fault condition on determining that no sensor identifiers can be associated with one of a plurality of sensor locations.
11. The device of claim 7 , wherein analyzing the counter data includes generating a pareto of the counter data.
12. The device of claim 7 , wherein the sensors are included in a vehicle tire pressure monitoring system.
13. The device of claim 7 , wherein the device is a controller in a vehicle.
14. A non-transitory computer-readable medium including thereon instructions executable by a processor, the instructions comprising instructions for:
receiving frames of data, wherein each frame includes at least a sensor identifier and a changeable data field and is sent from one of a plurality of sensors, whereby each of the plurality of sensors is associated with a respective one of a plurality of sensor identifiers, and wherein the changeable data field includes, in some of the frames, data representing a sensed condition and, in others of the frames, counter data; wherein the changeable data field includes the counter data only during an auto-learn operation, and includes only data representing a sensed condition after the auto-learn operation is terminated; and
analyzing the counter data to determine whether any of the sensor identifiers can be associated with one of a plurality of sensor locations.
15. The medium of claim 14 , the instructions further comprising instructions for storing an assignment of one of the sensor identifiers to one of the sensor locations.
16. The medium of claim 14 , wherein analyzing the counter data includes generating a pareto of the counter data.
17. The medium of claim 14 , wherein the sensors are included in a vehicle tire pressure monitoring system.