Worker Inclination Monitoring for Missed Fall State Detection
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Solution Overview
Problem
Existing industrial plant monitoring systems fail to detect abnormal states of workers, such as falling or injury, if they remain immobile for an extended period, leading to potential oversight of critical situations.
Innovation Solution
An industrial plant monitoring system comprising a first terminal with a gyro sensor attached to workers, a server that processes inclination information, and a second terminal for communication, which acquires and analyzes inclination data to determine if it exceeds predetermined thresholds, and transmits alarm information when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system determines abnormal state only after detecting falling off or falling over, then the detection logic is simple, but the system may overlook abnormal states when falling detection fails
Solution Approach 1:
The gyro sensor is designed to perform multiple detection functions: it detects both falling events (sudden inclination changes) and prolonged abnormal states (continuous inclination exceeding threshold). This multi-functionality ensures reliable abnormal state detection even when falling detection fails, while avoiding the need for separate detection systems for each function.
Solution Approach 2:
The system continuously monitors inclination data and counts instances where the inclination exceeds the threshold angle during a predetermined period. By preparing this count in advance and comparing it against the reference value, the system can quickly determine abnormal states without waiting for falling detection to occur first, ensuring timely intervention.
2Reliability
If the system monitors worker movement continuously, then abnormal states are detected timely, but energy consumption increases
Solution Approach 1:
The gyro sensor continuously acquires inclination data at regular intervals during a predetermined period. This periodic sampling approach allows the system to detect abnormal states reliably while managing energy consumption by not requiring constant high-power processing, instead using periodic measurements with threshold comparison.
Solution Approach 2:
The system changes the monitoring parameter from detecting specific falling events to counting the number of times inclination exceeds a threshold angle over a predetermined period. This parameter transformation enables the system to detect various abnormal states (falling, tripping, stumbling) uniformly while using efficient threshold-based comparison logic that consumes less energy than continuous analysis.
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
The system effectively prevents workers from being left in a fallen state for long periods by detecting abnormal conditions beyond just falling, ensuring timely intervention and improving overall worker safety.
Implementation Method 1
a first terminal attached to a worker and having a gyro sensor generating inclination information based on a movement of the worker
Data Source
AI summary
An industrial plant monitoring system includes: a first terminal attached to a worker and having a gyro sensor generating inclination information based on a movement of the worker; a server receiving the inclination information; and a second terminal configured to communicate with the server. The server performs processing of acquiring a number of pieces of the inclination information generated during a predetermined period and exceeding a predetermined inclination angle, processing of determining whether the acquired number of pieces of the inclination information exceeds a predetermined value or not, and processing of transmitting first alarm information to the second terminal when it is determined that the number of pieces of the inclination information exceeds the predetermined value.