IIoT Vibration Noise Detection for Adaptive Sensor Data Collection

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Solution Overview

Problem

Industrial environments face challenges in data collection and utilization due to complex sensor data management, limited data range, and variability in network connectivity, noise sources, and equipment conditions, leading to inefficient monitoring and optimization of operations.

Innovation Solution

A system that includes a data collector connected to multiple input channels, a data storage for noise pattern recognition, and a response circuit to adjust data collection and operating parameters based on identified noise patterns, enabling real-time rebalancing and optimization of industrial components.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If continuous monitoring of multiple industrial components is implemented, then detection accuracy and reliability are improved, but device complexity and data management burden increase

Engineering Contradiction:

Improvedetection accuracyVSAvoiddata management complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the complex monitoring task by dividing it into distinct functional modules: a data collector for acquiring sensor data, a data storage for organizing noise patterns, and a response circuit for analyzing and reacting to detected patterns. This segmentation allows each module to handle specific aspects of monitoring independently, reducing overall system complexity while maintaining comprehensive monitoring capability

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary action by pre-storing known noise patterns in the data storage component before actual monitoring begins. These reference patterns are prepared in advance and organized for quick comparison, enabling the response circuit to rapidly identify anomalies without requiring complex real-time analysis algorithms, thus improving detection accuracy while managing data complexity

Inventive Principle:

Principle #10Preliminary action

2Productivity

If real-time noise pattern recognition and response is implemented, then operational optimization is improved, but use of energy and computational resources increase

Engineering Contradiction:

Improveoperational optimizationVSAvoidcomputational energy consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system implements feedback by using the response circuit to continuously compare current sensor data against stored noise patterns and automatically adjust operational parameters based on detected patterns. This closed-loop feedback mechanism enables real-time operational optimization without requiring exhaustive computational analysis, as the system only needs to compare against pre-established patterns and execute predetermined responses

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system uses copying by storing reference noise patterns in the data storage component that represent known operational states. Instead of performing complex real-time analysis of raw sensor data, the response circuit compares current data against these copied reference patterns, significantly reducing computational energy requirements while maintaining the ability to optimize operations based on recognized patterns

Inventive Principle:

Principle #26Copying

3Measurement precision

If comprehensive data collection from multiple sources is implemented, then measurement precision is improved, but loss of information and data processing burden increase

Engineering Contradiction:

Improvenoise pattern detection precisionVSAvoiddata processing overhead

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The system applies taking out by extracting only the essential features and characteristics of noise patterns from comprehensive sensor data. The response circuit identifies and extracts relevant pattern elements for comparison against stored references, discarding redundant information. This extraction process maintains measurement precision by focusing on critical diagnostic features while reducing data processing burden by eliminating unnecessary data

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS12191926B2Methods and systems for detection in an industrial internet of things data collection environment with noise detection and system response for vibrating components

Publication Date: 2025.01.07 STRONG FORCE IOT PORTFOLIO 2016 LLC

AI summary

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to an industrial component vibrationally coupled to a second industrial component in the industrial environment; a data storage structured to store a plurality of stored system response patterns; a data acquisition circuit; a data analysis circuit structured to: determine a measured noise pattern for the at least one industrial component; compare the measured noise pattern to the plurality of stored system response patterns to determine an identified noise pattern; and a response circuit structured to modify data collection from at least one input channel connected to data collection points operationally coupled to the second industrial component in response to the identified noise pattern.