Mine Dust Exposure Calculation Model Using Sensor Trajectory Data
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Solution Overview
Problem
Current methods for monitoring cumulative dust exposure of mine operators are inadequate due to poor timeliness, limited coverage, and human factor influences, failing to provide accurate and timely early warnings for occupational hazards such as pneumoconiosis.
Innovation Solution
A computer-implemented calculation method and measuring system that calculates cumulative dust exposure using a multilevel accumulation mathematical model, combining wind flow distribution, respiration dust concentration, and personnel space-time trajectory data from sensors and positioning systems, with real-time correction and calibration to accurately determine individual dust exposure amounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If self-inspection and spot check modes are used for dust exposure monitoring, then the monitoring can be implemented with simple methods, but the authenticity and timeliness of monitoring are poor
Solution Approach 1:
The patent implements automatic monitoring where the system itself performs the monitoring function without relying on manual self-inspection. Dust concentration sensors automatically detect dust levels, personnel positioning systems automatically track worker locations, and the system automatically calculates cumulative exposure amounts, eliminating the need for manual intervention while ensuring data authenticity and timeliness.
Solution Approach 2:
The patent replaces manual mechanical monitoring methods with automated electronic systems. Instead of workers manually recording dust exposure or inspectors physically checking conditions, the system uses sensors, positioning devices, and computer processing to automatically monitor and calculate dust exposure, improving both reliability and timeliness.
2Measurement precision
If individual cumulative dust exposure monitoring is implemented, then accurate dust exposure data can be obtained, but the system complexity and cost increase
Solution Approach 1:
The patent designs a multi-functional integrated system where a single system performs multiple functions: dust concentration sensing, personnel positioning, trajectory tracking, cumulative exposure calculation, and early warning. This universal system serves all monitoring needs simultaneously, reducing overall system complexity compared to having separate systems for each function.
Solution Approach 2:
The patent combines multiple monitoring components into an integrated system. The dust concentration sensors, personnel positioning systems, and calculation modules are merged into a unified monitoring platform that processes data together, simplifying system architecture and reducing the complexity of managing multiple separate systems.
3Quantity of substance
If comprehensive monitoring of all mine operators is implemented, then complete dust exposure data can be collected, but the difficulty of supervision increases due to large number of employees
Solution Approach 1:
The system automatically monitors all personnel without requiring manual supervision. Each worker's dust exposure is automatically tracked through their personal positioning device and the dust concentration data, eliminating the need for manual supervision of each individual while maintaining complete data collection.
Solution Approach 2:
The system uses personnel positioning devices that copy or replicate identification information for each worker, allowing the system to automatically identify and track multiple individuals simultaneously. This enables comprehensive monitoring of all employees without increasing supervisory burden, as the system automatically processes each person's data independently.
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
This approach provides accurate and timely monitoring of dust exposure, enabling effective early warning systems and improved management of occupational hazards, ensuring precise data for preventing pneumoconiosis.
Implementation Method 1
data output by a respiration dust concentration sensor
Implementation Method 2
a wind flow distribution law of the operating surface on-site
Implementation Method 3
obtaining a distribution law of respiration dust concentration of an operating surface based on a wind flow distribution law
Implementation Method 4
creating a calculation model for an individual dust exposure amount of respiration dust based on a multilevel accumulation mathematical model
Data Source
Figure 1
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Figure 3~5
AI summary
The present invention discloses a calculation method and a measuring system for a cumulative dust exposure amount of respiration dust of a mine operator. A distribution law of respiration dust concentration of an operating surface is obtained based on an respiration dust concentration sensor on-site and a wind flow distribution law, a space-time trajectory of the operator is obtained according to a mine personnel positioning system, and a prediction model of an individual dust exposure amount of respiration dust is established based on a multilevel accumulative mathematical model. The prediction model is corrected with a multiple-point correction by using a single individual respiration dust detection device, and is optimized by using multiple individual respiration dust detection devices to finally obtain a calculation model for the cumulative dust exposure amount of respiration dust of the mine operator. The present invention provides a real-time and online continuous obtaining method for dust exposure amounts of respiration dust of the mine operators in underground coal dust operating places, which lays a foundation for the early warning of pneumoconiosis of the mine operators and archives management of the cumulative dust exposure amount of the operators of enterprises.