Wireless Pump Vibration Sensor for Low-Power vRMS Measurement
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Solution Overview
Problem
Conventional vibration sensors for rotating machinery are expensive, complex, require significant compute resources, and are not suitable for small, battery-powered devices, often relying on hardware-based solutions that increase size and power consumption.
Innovation Solution
A low-cost sensor device with a low-power processor that calculates velocity root mean square (RMS) vibration measurements locally, using a low-cost accelerometer and wireless communication, providing a battery life of up to five years, and includes a display or wireless interface for data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional vibration sensors use hardware-based solutions with significant compute resources, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent replaces complex hardware-based vibration measurement systems with a software-based solution. A processor executes instructions to calculate velocity RMS from accelerometer data, substituting mechanical/hardware computation with software algorithms. This reduces device complexity while maintaining measurement precision through digital signal processing.
Solution Approach 2:
The patent changes the computational approach by implementing efficient algorithms that calculate velocity RMS directly from accelerometer data without requiring complex hardware circuits. The system transforms the measurement process from hardware-based to software-based computation, reducing device complexity while preserving measurement accuracy through mathematical transformations.
2Measurement precision
If conventional vibration sensors use hardware-based solutions, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent replaces energy-intensive hardware-based computation with software-based processing on a microprocessor. The system uses standard processors to execute algorithms that calculate velocity RMS from accelerometer data, significantly reducing power consumption compared to dedicated hardware circuits while maintaining measurement precision through software optimization.
Solution Approach 2:
The system performs vibration measurements periodically rather than continuously, reducing overall power consumption. The processor calculates velocity RMS at specific intervals, allowing the system to enter low-power states between measurements while still providing accurate vibration monitoring when needed.
3Measurement precision
If conventional vibration sensors are designed for reliability, then measurement precision is improved, but device size increases
Solution Approach 1:
The patent uses a universal microprocessor that can perform multiple functions including vibration measurement, data processing, wireless communication, and power management. This single component replaces what would traditionally require multiple specialized hardware circuits, reducing device size while maintaining measurement precision through software-based computation.
Solution Approach 2:
The patent combines vibration sensing, signal processing, and measurement calculation into a single integrated system. The accelerometer and processor work together as a unified measurement platform, eliminating the need for separate hardware circuits and reducing overall device size while maintaining measurement accuracy.
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 efficient, cost-effective, and remote monitoring of rotating machinery vibration severity with minimal power consumption and device size, allowing for widespread deployment and integration with cloud-based systems.
Implementation Method 1
The sensor device uses a low-cost accelerometer to generate raw sensor data
Data Source
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Figure 3a~3b
AI summary
A device, system, and method are provided for providing vibration data for rotating machinery. A sensor device is provided as a one-piece unit that is mechanically mounted to a pump. The sensor includes a vibration sensor, a processor, a wireless communications interface for exchanging data with a user device, and an internal battery. The processor is configured to receive a measurement request from the user device via the wireless communications interface. In response, the processor is further configured to configure the vibration sensor, receive data samples for multiple axes from the vibration sensor, and calculate a component velocity root mean square (vRMS) value, from the data samples, for each of the multiple axes. The processor may combine the component vRMS values into a sample vRMS value, and send a final vRMS value, based on the sample vRMS value, to the user device via the wireless communication interface.