Vibration Sensor System for Layperson Machinery Fault Diagnosis
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Solution Overview
Problem
Current monitoring systems for complex machinery are expensive and time-consuming to install, requiring expertise and multiple sensors, making them inaccessible for laypeople to perform real-time problem diagnosis and continuous monitoring.
Innovation Solution
A low-cost sensor system that uses a detector with a piezoelectric sensor, data transmitter, and processor to capture and analyze vibration data, allowing for localized and distributed analysis, enabling laypeople to diagnose machine faults and monitor machinery performance through a mobile device connected via internet technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are installed inside the machine to measure temperatures and pressures, then measurement precision is improved, but device complexity and installation cost increase
Solution Approach 1:
The patent combines multiple sensing functions (acceleration, temperature, humidity, light, sound) into a single multi-functional sensor unit that can be externally mounted on the machine. This eliminates the need for installing multiple separate sensors inside the machine, reducing installation complexity while maintaining comprehensive monitoring capabilities.
Solution Approach 2:
The sensor unit is designed to perform multiple measurement functions simultaneously - detecting vibration/acceleration, temperature, humidity, light, and sound - making it a universal monitoring device that replaces several specialized sensors with one multi-functional unit, thereby simplifying the overall system.
2Reliability
If multiple sensors and expert installation are used, then reliability of monitoring is improved, but loss of time and installation cost increase
Solution Approach 1:
The monitoring system is segmented into independent modular components: an externally mountable sensor unit and a separate processing/analysis system. This allows the sensor unit to be quickly installed and removed without complex integration, reducing installation time while maintaining system reliability through modular design.
Solution Approach 2:
The sensor unit is designed for self-installation by laypeople using simple mounting mechanisms, eliminating the need for expert technicians. The unit can be independently attached to the machine and begins monitoring immediately, significantly reducing installation time and cost while maintaining adequate reliability for diagnostic purposes.
3Measurement precision
If specialized monitoring systems are used, then diagnostic accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system introduces a mobile device (smartphone or tablet) as an intermediary between the sensor unit and the user. The mobile device receives data from the sensor, performs analysis, and presents results in an easily understandable format, bridging the gap between complex sensor data and user-friendly diagnostics that laypeople can interpret.
Solution Approach 2:
The patent replaces complex mechanical monitoring systems with electronic/digital systems that communicate via wireless protocols. Data from the sensor unit is transmitted electronically to a mobile device, where software algorithms perform the diagnostic analysis, substituting complex mechanical interpretation with accessible digital processing and visualization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables cost-effective, real-time monitoring and fault diagnosis of complex machinery by laypeople, reducing installation costs and time, and providing timely notifications and easy-to-understand reports on probable causes of inefficiencies in heating and air conditioning systems.
Implementation Method 1
A low-cost sensor system that uses a detector with a piezoelectric sensor, data transmitter, and processor to capture and analyze vibration data
Data Source
AI summary
A first embodiment of a system for measuring and analyzing a machine property includes a detector with a vibration sensor, power source, a data transmitter, a first data processor configured and adapted to obtain sensed vibration data from the sensor and convert it into digital data to be transmitted through the data transmitter, and a system server operatively in communication with the detector. The system server has software that can process and analyze data such as the sensed vibration data received via the data receiver. In a second embodiment, the system includes a vibration sensor, a terminal comprising a user interface unit and a first data processor that can obtain sensed vibration data from the sensor and convert it into digital data to be transmitted through the first data transceiver. In this embodiment, data may be presented visually on the user display area and user input received input from the user input area.