Sensor Assignment by Motion Correlation in Wireless Machines
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Solution Overview
Problem
Existing wireless industrial control systems face challenges in accurately associating sensors with actuators due to the error-prone nature of programming unique identification codes, leading to potential misassignment and reduced reliability in feedback control.
Innovation Solution
A sensor assignment device comprising a movement instruction generator, sensor data receiver, degree of correlation determiner, and sensor assigner that assigns sensors to machine parts based on predetermined correlation thresholds, ensuring accurate pairing by analyzing sensor data consistency with movement patterns and utilizing a plausibility checker for validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual programming of unique identification codes is used to associate sensors with actuators, then the system setup is straightforward in wired architectures, but the process becomes error-prone and reliability decreases in wireless systems
Solution Approach 1:
The system enables sensors to self-assign to actuators by automatically determining correlations between sensor data and actuator movements. The sensor assignment device autonomously analyzes sensor data patterns against movement instructions without requiring manual programming of identification codes, allowing the system to configure itself automatically and eliminate human error in the assignment process
Solution Approach 2:
The system uses feedback from sensor data to validate and confirm correct sensor-actuator pairings. By continuously monitoring sensor data during actuator movements and analyzing correlation degrees, the system receives feedback that confirms whether assignments are correct, allowing for automatic verification and correction of any misassignments
2Reliability
If all sensors are processed and transmitted for assignment, then comprehensive coverage is achieved, but processing and transmission requirements increase
Solution Approach 1:
The system processes only a subset of sensors at any given time rather than all sensors simultaneously. The sensor assignment device selectively processes sensor data based on correlation thresholds and assignment status, processing only those sensors that are relevant to current assignment tasks. This partial processing approach maintains assignment completeness while significantly reducing the computational and transmission energy required
Data Source
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AI summary
A sensor assignment device (SAD) has a movement instruction generator (MIG) for generating (105) and submitting (100a) a movement instruction (MI) to a distinct one of a plurality of actuators (Ak) to move a distinct one of a plurality of machine parts (MPj), a sensor data receiver (SDR) for receiving (120b) sensor data (SD) acquired by a subset of a plurality of sensors (Si), a degree of correlation determiner (DCD) for determining (130) sensor-specific degrees of correlation (DC) between said detected sensor data (SD) and the movement instruction (MI), and a sensor assigner (SA) for assigning (140) those sensors (Si) to the distinct machine part whose sensor-specific degrees of correlation (DC) exceed a predetermined threshold. The invention also relates to a corresponding method (100) for assigning a sensor (Si) to a machine part (MPj) moveable by an actuator (Ak).