Safety Grade Calculation Using Gas and Biometric Sensors
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Solution Overview
Problem
Existing workplace safety monitoring systems fail to effectively calculate a safety grade based on both harmful gas information and biometric data, particularly in environments where colorless and odorless gases pose a threat, potentially leading to worker emergencies.
Innovation Solution
A method and apparatus that integrate harmful gas information from a gas sensor with biometric information, such as ECG, EEG, and EMG data, using a machine learning algorithm to calculate a safety grade, considering factors like air temperature and humidity, and transmit alarms to external devices when the safety grade falls below a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only gas sensor information is used for safety monitoring, then the detection of harmful gas is simple, but the accuracy of safety assessment is insufficient
Solution Approach 1:
The patent combines gas sensor information with biometric sensor information (ECG, EEG, EMG) into a unified safety monitoring system. This merging of multiple data sources enables comprehensive safety assessment that considers both environmental hazards and physiological responses, thereby improving measurement precision without requiring separate independent systems
Solution Approach 2:
The safety monitoring apparatus is designed to perform multiple functions: detecting harmful gases, monitoring biometric parameters, calculating safety grades, and providing alerts. This multi-functional integration allows a single system to address various aspects of worker safety, reducing the need for multiple separate devices while enhancing overall assessment accuracy
2Reliability
If biometric sensors are added to monitor worker physiological state, then the safety assessment becomes more accurate, but the device complexity increases
Solution Approach 1:
The patent integrates biometric sensors (ECG, EEG, EMG) with gas sensors into a single safety monitoring apparatus. This combination allows the system to simultaneously monitor both environmental conditions and physiological states, improving reliability by cross-validating data from multiple sources while managing complexity through unified system architecture
Solution Approach 2:
The system continuously monitors biometric parameters and uses this feedback to dynamically adjust safety assessments. When physiological indicators show stress or distress, the system can trigger alerts or modify monitoring intensity, creating a closed-loop system that improves reliability through real-time adaptation without requiring overly complex manual intervention protocols
3Measurement precision
If multiple biometric parameters (ECG, EEG, EMG) are monitored simultaneously, then the safety grade calculation becomes more comprehensive, but the data processing complexity increases
Solution Approach 1:
The patent pre-calculates safety grades by integrating multiple biometric parameters (ECG, EEG, EMG) with gas sensor data through a machine learning model. This preliminary processing of multiple data streams into a unified safety grade metric simplifies subsequent decision-making and alert generation, as the complex multi-parameter analysis is performed in advance rather than in real-time during emergencies
Solution Approach 2:
The system transforms multiple complex biometric parameters into a simplified safety grade metric that ranges from 0 to 100. This parameter transformation converts difficult-to-interpret physiological data into an intuitive single-value indicator, maintaining measurement precision while significantly reducing the complexity of data interpretation and response decision-making
4Reliability
If real-time safety monitoring and alerting is implemented, then worker protection is improved, but the energy consumption increases
Solution Approach 1:
The safety monitoring apparatus performs periodic safety grade calculations based on integrated biometric and gas sensor data, rather than continuous high-power processing. The system can adjust the monitoring frequency based on current safety levels, performing more frequent calculations when risks are detected and reducing frequency when conditions are stable, thereby maintaining worker protection reliability while managing energy consumption through adaptive periodic operation
Data Source
AI summary
Provided is a method and apparatus for calculating a safety grade of a working environment that may receive harmful gas information from a gas sensor configured to detect a harmful gas to calculate a safety grade, receive biometric information of a user from a biometric sensor configured to measure the biometric information of the user, calculate a safety grade for the user based on the harmful gas information and the biometric information, and output the calculated safety grade.