Operator Proximity Risk Measurement System
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Solution Overview
Problem
Conventional risk measurement systems for machines do not account for the proximity of operators to the machines, leading to an increased risk that is not adequately visualized or monitored, which can result in safety hazards.
Innovation Solution
A risk measurement system that includes a measurement unit to determine the distance between a mechanical device and an operator, a control device, a display device, and a risk table database to calculate and display the risk value based on the operator's proximity, access frequency, and risk avoidance possibility, enabling real-time monitoring and recording of the risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional risk measurement systems only monitor machine and safety device states, then the system complexity is reduced, but the measurement precision of operator risk is insufficient
Solution Approach 1:
The risk measurement system is segmented into multiple independent modules: a measurement unit for obtaining distance, a control device for acquiring operation mode, a risk table database for storing risk parameters, and a risk measurement device for calculating risk values. This segmentation allows the system to comprehensively measure operator risk without excessive complexity by dividing the measurement function into specialized components.
Solution Approach 2:
The risk measurement system integrates multiple functions into a unified platform that can measure both machine safety states and operator proximity risks simultaneously. The system serves multiple purposes: real-time risk monitoring, historical data recording, and basis provision for safety management decisions, thereby improving measurement precision without proportionally increasing complexity.
2Reliability
If the system monitors operator proximity in real time, then the reliability of safety monitoring is improved, but the loss of time for data processing increases
Solution Approach 1:
The risk table database pre-stores risk values and their corresponding parameters (distance, operation mode, risk avoiding possibility) before actual risk measurement occurs. When measuring operator risk, the system directly retrieves and combines these pre-prepared data with current sensor readings, significantly reducing data processing time while maintaining reliable real-time monitoring.
3Loss of information
If comprehensive risk data is continuously recorded and visualized, then the information completeness for safety management is improved, but the loss of information management resources increases
Solution Approach 1:
The system extracts and stores only the essential risk measurement data (distance, operation mode, risk value, timestamp) in the risk table database, separating critical safety information from unnecessary data. This extraction approach ensures information completeness for safety management while minimizing the consumption of information management resources by recording only what is fundamentally necessary.
Data Source
AI summary
A risk measurement system according to an embodiment includes a measurement unit that obtains a distance between a mechanical device and an operator; a control device that controls the mechanical device, a display device; a risk table database that has a risk table indicating a risk value that depends on a size of damage due to a risk, a frequency of access to the mechanical device according to an operation mode, and a risk avoiding possibility; and a risk measurement device that obtains the risk value based on the avoiding possibility obtained based on the distance, the frequency of access obtained based on the operation mode of the mechanical device acquired from the control device, and the risk table, records temporal changes of the risk value, and displays the temporal changes of the risk value on the display device.


