Variable Sampling Rate Monitoring for Faster State Change Detection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing online monitoring systems face resource constraints and reduced responsiveness due to fixed sampling rates, which can lead to delayed detection of changes in physical environments, especially when dealing with resource-intensive waveform data from multiple components.

Innovation Solution

Implementing a method and system that dynamically adjusts the data sampling rate based on condition assessment rules, allowing for increased sampling frequency during state changes and reducing it when stability is confirmed, thereby optimizing resource utilization and responsiveness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a fixed sampling rate is used to monitor physical environments, then system complexity is reduced and ease of operation is improved, but responsiveness to state changes deteriorates and detection speed slows down

Engineering Contradiction:

Improveease of operationVSAvoiddetection speed

Core Design Contradiction:

Ease of operationVSSpeed

Solution Approach 1:

The patent implements dynamic sampling rate adjustment by transitioning from a fixed sampling rate to a variable sampling rate that adapts based on detected state changes. The system monitors physical environments and automatically increases sampling frequency when state changes are detected, then returns to normal sampling rate after stabilization, resolving the contradiction between operational simplicity and detection speed.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the sampling rate parameter dynamically based on environmental conditions. When state changes are detected, the sampling rate parameter is increased to improve detection speed; when stability is confirmed, the parameter is reduced to maintain ease of operation. This parameter adaptation resolves the technical contradiction.

Inventive Principle:

Principle #35Parameter changes

2Speed

If a high sampling rate is used to improve responsiveness to state changes, then detection speed is improved, but resource consumption increases

Engineering Contradiction:

Improvedetection speedVSAvoidresource consumption

Core Design Contradiction:

SpeedVSUse of energy by moving object

Solution Approach 1:

The system employs periodic sampling at variable intervals rather than continuous high-rate sampling. Normal operation uses a lower sampling rate to conserve resources, while high sampling rates are activated periodically only when state changes are detected, thus improving detection speed without sustained resource consumption.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The sampling rate is made dynamic rather than static, allowing the system to adjust resource consumption based on actual monitoring needs. The system transitions between low-power normal sampling and high-performance change detection modes, resolving the contradiction between detection speed and resource usage.

Inventive Principle:

Principle #15Dynamics

3Measurement precision

If complete monitoring of all received data is performed, then measurement precision is improved, but device complexity increases and resources are strained

Engineering Contradiction:

Improvemeasurement precisionVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system extracts and processes only the essential information needed for state change detection rather than analyzing all received data completely. By focusing on detecting state changes rather than comprehensive data analysis, the system maintains measurement precision for critical events while reducing device complexity and resource strain.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies partial monitoring by using variable sampling rates that provide complete monitoring only when necessary (during state changes) and reduced monitoring during stable periods. This partial action approach maintains measurement precision for critical events while avoiding the device complexity of continuous complete monitoring.

Inventive Principle:

Principle #16Partial or excessive action

4Loss of energy

If a low sampling rate is used to reduce resource burden, then resource consumption is reduced, but responsiveness to state changes deteriorates

Engineering Contradiction:

Improveresource consumptionVSAvoidresponsiveness

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

The sampling rate is made dynamic to adapt to system conditions. The system reliably detects state changes by increasing sampling rate when changes are detected, while consuming fewer resources during stable operation. This dynamic adjustment resolves the contradiction between resource consumption and reliability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the sampling rate parameter based on detected conditions, ensuring reliability is maintained during state changes while reducing resource consumption during normal operation. The parameter adaptation allows the system to achieve both low resource usage and high reliability.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11115295B2Methods and systems for online monitoring using a variable data

Publication Date: 2021.09.07 GENERAL ELECTRIC CO

AI summary

A method for online monitoring of a physical environment using a variable data sampling rate is implemented by a computing device. The method includes sampling, at the computing device, at least one data set using at least one sampling rate. The method also includes processing the at least one data set with condition assessment rules. The method further includes determining whether the at least one data set indicates a change in state of the physical environment. The method additionally includes updating the at least one sampling rate.