Coal Mine Vehicle RFID Positioning With Locked-Interval Tracking
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Solution Overview
Problem
Existing positioning solutions for underground coal mine vehicles face challenges of low accuracy and high costs, with difficulties in power supply and frequent battery replacements, making them inefficient and costly.
Innovation Solution
A low-energy-consumption grading and positioning method that uses RFID card readers and tags to determine optimal transportation routes, calculate initial velocities, and construct prediction models for real-time position estimation, incorporating an overtime alarm system to reduce energy consumption and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RFID card readers are arranged throughout the roadway to achieve real-time precise positioning without dead angles, then positioning accuracy is improved, but positioning cost and device complexity increase significantly
Solution Approach 1:
The roadway is divided into multiple locked intervals with RFID card readers arranged at intersections rather than continuously along the entire route. This segmentation approach reduces the number of readers needed while maintaining positioning capability through interval-based tracking.
Solution Approach 2:
Instead of deploying RFID card readers at every possible location for continuous positioning, the system uses partial coverage at key intersection points. Combined with trajectory prediction algorithms, this partial action achieves sufficient positioning accuracy without the excessive cost of complete coverage.
2Measurement precision
If continuous positioning is implemented to ensure real-time vehicle location accuracy, then positioning accuracy is improved, but energy consumption increases
Solution Approach 1:
The system performs positioning updates periodically at locked intervals rather than continuously. The trajectory prediction model maintains position estimates between RFID reading events, reducing energy consumption while preserving positioning accuracy through intermittent measurements combined with predictive algorithms.
Solution Approach 2:
The system pre-calculates optimal transportation routes and divides them into locked intervals beforehand. This preliminary action allows the vehicle to follow predetermined paths with known positioning points, reducing the need for continuous real-time calculations and energy-intensive positioning operations.
3Measurement precision
If more RFID card readers are deployed to reduce positioning dead angles, then positioning coverage is improved, but positioning cost increases
Solution Approach 1:
RFID card readers at intersections serve multiple functions: positioning the vehicle, verifying route compliance, and triggering trajectory updates. This multi-functionality reduces the need for additional dedicated positioning devices, lowering overall system cost while maintaining comprehensive coverage.
Solution Approach 2:
The trajectory prediction model acts as an intermediary that fills positioning gaps between RFID reading points. Instead of deploying more physical readers to eliminate dead angles, the computational model mediates the positioning information, predicting vehicle location based on previous readings and physical constraints.
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 achieves higher positioning accuracy and reduces energy consumption and costs by utilizing existing infrastructure, enabling on-demand positioning and efficient vehicle deployment, while minimizing power supply issues and battery replacements.
Implementation Method 1
an RFID card reader is arranged at an intersection of a roadway corresponding to the optimal transportation route
Data Source
AI summary
The present disclosure discloses a low-energy-consumption grading and positioning method and system for a coal mine auxiliary transportation vehicle, which belongs to the technical field of mine tunnel transportation. The method comprises the following steps: S10, determining an optimal transportation route of a vehicle, and dividing the optimal transportation route into a plurality of locked intervals; S20, determining an initial velocity v0 of the vehicle passing through each locked interval; S30, constructing a discretization mileage estimation model to update a real-time position of the vehicle, and obtaining dynamic track information of the vehicle in each locked interval; S40, constructing a [v0, t] prediction model, and obtaining a theoretical time t0 of the vehicle passing through each locked interval through the prediction model; S50, comparing a actual time t and the theoretical time t0 of the vehicle passing through each locked interval, and selecting whether to start overtime early warning or overtime alarm; and S60, repeating S30 to S50 after the vehicle enters the next locked interval. The low-energy-consumption grading and positioning method and system for the coal mine auxiliary transportation vehicle provided in the present disclosure realizes on-demand positioning of the underground vehicle and reduces the consumption and cost of positioning.