Sensor Monitoring via Dynamic Threshold Adjustment
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Solution Overview
Problem
Existing sensor monitoring methods in IT systems face challenges with resource-intensive polling and unreliable interrupt-driven approaches, particularly under high ambient temperatures, leading to performance degradation and potential loss or false interrupts.
Innovation Solution
Implementing a method where sensors generate interrupts when values exceed thresholds, with a modified sensor value range applied to prevent further interrupts until the value changes, and periodic verification of sensor behavior to ensure reliability, including self-checks or data transmission to the central control unit for validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If polling method is used to monitor sensors, then all sensor values are continuously checked, but resource occupation in the central control unit increases significantly
Solution Approach 1:
The patent implements periodic verification of sensor behavior at predetermined intervals instead of continuous monitoring. The control unit verifies sensor correctness periodically by checking if sensor values are within expected ranges, which reduces processing workload while maintaining monitoring reliability.
Solution Approach 2:
Sensors perform self-verification by comparing their own output values against predetermined reference ranges and generating self-diagnosis information. This self-service mechanism reduces the burden on the central control unit, as sensors autonomously identify and report their own malfunctions.
2Productivity
If interrupt-driven approach is used, then resource occupation is reduced, but false interrupts or lost interrupts occur under high temperatures
Solution Approach 1:
The system implements feedback mechanisms where sensors provide self-diagnosis information back to the control unit. The control unit uses this feedback to verify sensor correctness and distinguish between genuine malfunction interrupts and false interrupts caused by thermal conditions, thereby improving interrupt detection reliability.
Solution Approach 2:
Sensors perform preliminary self-verification of their output values against reference ranges before generating interrupts. This preliminary action prevents false interrupts from being generated due to thermal drift, as sensors can detect when their values are within acceptable tolerance ranges even under high temperatures.
3Reliability
If sensor verification is performed frequently, then reliability is enhanced, but processing workload increases
Solution Approach 1:
The verification process is executed periodically at predetermined intervals rather than continuously. The control unit schedules verification tasks to occur at specific time intervals, balancing reliability requirements with energy consumption and processing workload constraints.
Solution Approach 2:
The system performs partial verification by checking only critical aspects of sensor operation (whether values fall within reference ranges) rather than comprehensive analysis. This partial action approach provides sufficient reliability for fault detection while minimizing processing energy requirements.
Data Source
AI summary
A method is presented for reliably operating at least one sensor connected to a central control unit. Each sensor senses a sensor value for its sensor parameter and creates an interrupt to the control unit when its sensor value is outside a sensor value range limited by an upper and a lower threshold. Upon generation of an interrupt by a sensor, a modified sensor value range is calculated so that the sensor value causing the interrupt lies within the modified sensor value range, and the modified sensor value range is applied to the respective sensor. The method further includes repeatedly verifying correct behavior of each sensor. A computer-readable medium, a computer program product, and a system for executing the above-summarized method are also presented.