Bearing Revolution Estimation via Dynamic Sensor Wake-Up Intervals
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Solution Overview
Problem
Energy-constrained IoT sensors, such as those used in wheel bearings of objects like trains and vehicles, face challenges in continuously monitoring and recording the revolutions of bearings due to energy conservation requirements.
Innovation Solution
A method and device that estimate the revolutions of a bearing by receiving measurement data from sensors, determining the total traveled distance of the object, calculating a traveled distance offset of the bearing, and then calculating the bearing revolutions based on these determinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensor wakes up frequently to perform measurements, then the measurement precision of bearing revolutions is improved, but the energy consumption increases
Solution Approach 1:
The patent applies partial action by having the sensor wake up only at specific intervals to collect location and running status data, rather than continuously monitoring. The system calculates bearing revolutions by processing this partial data set, accepting that not every moment is measured but achieving sufficient precision for remote diagnosis purposes while conserving energy.
Solution Approach 2:
The patent replaces direct mechanical measurement of bearing revolutions with an indirect computational approach. Instead of using a dedicated revolution counter or always-on sensor, the system substitutes a processing mechanism that calculates revolutions from location information and running status data collected at intervals, reducing energy consumption while maintaining measurement capability.
2Reliability
If the sensor remains always-on to record revolutions continuously, then the reliability of revolution data is improved, but the energy consumption increases
Solution Approach 1:
The patent implements periodic action by having the sensor wake up at predetermined time intervals to collect data, rather than operating continuously. This periodic measurement approach maintains data reliability for remote diagnosis by capturing sufficient information points along the bearing's operational lifecycle while dramatically reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system applies self-service by using the object's own location information and running status data (already being collected for other purposes) to calculate bearing revolutions. This eliminates the need for a dedicated always-on revolution sensor, as the existing data infrastructure serves the additional function of bearing monitoring.
3Measurement precision
If the first time interval is decreased to improve measurement frequency, then the measurement precision is improved, but the energy consumption increases
Solution Approach 1:
The patent applies dynamics by making the first time interval variable rather than fixed. The system adjusts the time interval between wake-up events based on operational conditions, allowing shorter intervals when high precision is needed and longer intervals when energy conservation is prioritized. This dynamic adjustment optimizes the balance between measurement precision and energy loss.
Data Source
AI summary
A method and associated device for estimating revolutions of a bearing on an object. The method includes receiving a plurality of measurement data from a sensor. Each of the plurality of measurement data has a corresponding time stamp. The plurality of measurement data is measured by the sensor waking up based on a first time interval. During running of the object, the first time interval changes based on a running status of the object. The method includes determining a total travelled distance of the object based on the plurality of measurement data and determining a travelled distance offset of the bearing. The travelled distance offset is a distance that the object has travelled when the bearing is installed on the object. The method includes determining the revolutions of the bearing based on the determined total travelled distance of the object and the determined travelled distance offset of the bearing.