Transient Electromagnetic Coil Detection for Ponding Goaf Position
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Solution Overview
Problem
Current methods for detecting the position of accumulated water in goafs during coal mine excavation are labor-intensive, time-consuming, and lack precision, leading to ineffective preventive measures against water inrush accidents.
Innovation Solution
A physical simulation test method involving the creation of experimental models with varying positions of a ponding goaf and the use of a transient electromagnetic induction coil to collect data, allowing for statistical analysis and correction of detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If on-site arrangement of transient electromagnetic instruments is adjusted to match changing water accumulation positions, then detection accuracy is improved, but debugging becomes labor- and time-consuming
Solution Approach 1:
The patent establishes multiple physical models in advance representing different water accumulation positions relative to the driving face. Detection schemes are optimized beforehand for each model configuration, so when actual detection is needed, the pre-optimized scheme can be directly applied without time-consuming on-site debugging.
Solution Approach 2:
The patent creates multiple models with varying parameters (water accumulation position, distance from driving face, etc.) and develops detection schemes optimized for each parameter configuration. This allows the detection system to adapt to different conditions by selecting the appropriate pre-optimized scheme rather than adjusting instruments in real-time.
2Measurement precision
If multiple models are established for different water accumulation positions, then detection scheme optimization is improved, but model establishment complexity increases
Solution Approach 1:
The patent creates simplified physical models that replicate the essential geological structures and water accumulation scenarios. These models are simplified copies of actual mine conditions, capturing the key features needed for detection optimization without requiring full-scale replicas, thus balancing realism with ease of establishment.
3Reliability
If transient electromagnetic method is used to detect accumulated water in goaf, then detection effectiveness is improved, but on-site debugging requirements increase labor and time
Solution Approach 1:
The patent performs preliminary detection scheme optimization through physical models in the laboratory setting. The instrument arrangement and detection parameters are finalized beforehand for each water accumulation scenario, eliminating the need for complex on-site debugging and simplifying field operations to straightforward implementation of pre-determined schemes.
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 method enables accurate laboratory simulation of water inrush scenarios, optimizing detection layouts and improving the scientificity and efficiency of on-site water detection, reducing the risk of accidents and economic losses.
Implementation Method 1
the transient electromagnetic method is more effective and involves simple operation and wide application in the detection of the accumulated water in the goaf
Data Source
AI summary
A physical simulation test method for detecting a position of a ponding goaf in the excavation, which relates to physical detection of mines. This method includes: fabricating an experimental model of a composition similar to that of an excavating tunnel; fabricating a transient transmitting coil and receiving coil; connecting the coil to a wire and placing them in model A; connecting the coil to a transient electromagnetometer; injecting water into a trapezoidal goaf through a pre-buried plastic pipe; after the goaf is filled with water, immediately switching the transient electromagnetometer on to collect data; respectively transferring the coil to models B, C and D, injecting water and switching on the transient electromagnetometer to collect data; statistically analyzing detection and imaging results of the four models; and comparing the detection results with the actual data to determine detection accuracy and correction coefficient.