Distributed Vibration Monitoring Software With Adaptive Data Modes
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Solution Overview
Problem
Existing sensor devices face challenges in continuous monitoring due to high power consumption when transmitting large volumes of data wirelessly, particularly when only limited functionalities are required, making it difficult to isolate equipment failure causes without continuous data monitoring.
Innovation Solution
A distributed intelligent software system with wireless sensor nodes that transition between low and high communication modes based on sensor data thresholds, conserving battery life while maintaining event detection capabilities, and includes adhesive tape platforms equipped with sensors, processors, and energy sources for efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor devices continuously transmit full range of sensor data to the central system, then complete monitoring capability is maintained, but power consumption increases significantly
Solution Approach 1:
The sensor device dynamically switches between low communication mode and high communication mode based on whether an event is detected. In low communication mode, only RMS values are transmitted periodically to conserve power. When an event is detected, the system transitions to high communication mode to transmit the full spectrum of data, thus adapting the communication intensity to the actual monitoring needs.
Solution Approach 2:
The system changes the parameter of data transmission volume based on operational conditions. During normal operation, only aggregated RMS values are transmitted (low data volume). When an event is detected, the transmission parameter switches to include the full frequency spectrum data (high data volume), optimizing the balance between monitoring completeness and power consumption.
2Reliability
If sensor devices transmit data frequently and continuously, then real-time monitoring is achieved, but battery life is reduced
Solution Approach 1:
The sensor device transmits data periodically in low communication mode by sending RMS values at scheduled intervals rather than continuously. This periodic transmission significantly reduces power consumption while still providing monitoring coverage. When events occur, the system temporarily increases transmission frequency to maintain real-time monitoring capability for critical events.
3Ease of operation
If sensor devices use wireless communication for data transmission, then deployment flexibility is improved, but power consumption increases
Solution Approach 1:
The wireless communication system dynamically adjusts its operation between low power mode (periodic RMS transmission) and high power mode (full spectrum transmission during events). This dynamic adjustment maintains the deployment flexibility advantage of wireless communication while minimizing power consumption by using high-power transmission only when necessary for event detection.
Data Source
AI summary
A method includes instructing a first sensing device to enter a first state, the first state comprising a first set of functions and behavior for the sensing device. The first sensing device is instructed to aggregate sensing data, the sensing data comprising measurements of the property of the surroundings of the first sensing device measured by the at least one sensor. Relevant data from the aggregated sensing data is stored on one of a memory of the first sensing device, a database of a central database and control system associated with the first sensing device, and a memory of a client device. It is determined that a first event has occurred based on the aggregated sensing data, and responsive to the determining that the first event has occurred, the first sensing device is instructed to enter a second state.