Navigation and positioning technology in underground coal mines and tunnels: A review

Cui, Yuming; Liu, S.; Liu, Qingchen

doi:10.17159/2411-9717/1065/2021

Cited by 13 publications

(6 citation statements)

References 21 publications

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“…However, it is worth noting that the positioning method needs to add an anti-outlier step in the specific implementation process, which makes there a certain delay between the positioning efficiency and the actual driving state of the vehicle. Combined with the above analysis results, it can be seen that it is still of great practical significance [13][14][15] to conduct in-depth research on the cooperative positioning method of vehicle-aided navigation.…”

Section: Introductionmentioning

confidence: 80%

Research on collaborative positioning of intelligent vehicle aided navigation based on computer vision technology

Zhang

2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

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Due to the low accuracy of collecting vehicle position information, the error in the positioning stage is relatively large. Therefore, the collaborative positioning of intelligent vehicle aided navigation based on computer vision technology is proposed. Taking the computer vision equipment-smart cameras VOF/VOF-S as a specific data acquisition device, and combining with the specific running state of the vehicle, the specific parameters in the data acquisition stage are set differently, so as to realize the accurate acquisition of vehicle position information. In the positioning stage, the plane where the wheel is located is taken as the road plane, and the coordinate parameters of data information collected by several road ground points in VOF/VOF-S computer vision technology device are integrated to realize the transformation of vehicle position information in real space. In the test results, the positioning error of vehicle position under different driving conditions is always stable within 1.50m, which has high accuracy.

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Section: Introductionmentioning

confidence: 80%

Research on collaborative positioning of intelligent vehicle aided navigation based on computer vision technology

Zhang

2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

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“…Cu-Ti series alloys have become the preferred substitute for Cu-Be alloys because of their environmental friendliness and low cost. [7,8] By adding Fe element to the Cu-Ti alloy, the comprehensive properties of the alloy are enhanced in all aspects, and Cu-Ti-Fe alloy exhibits excellent comprehensive properties such as high strength, high-temperature stress relaxation resistance, heat resistance, fatigue resistance, and machinability. Cu-Ti-Fe alloys also have some drawbacks, such as hot cracks and inhomogeneous microstructures developed during hot deformation, [9][10][11] this indicates that it is of great significance to study its hotdeformation behavior.…”

Section: Introductionmentioning

confidence: 99%

Study on Hot Deformation Behavior and Dynamic Recrystallization Mechanism of Cu‐Ti‐Fe Alloy

Wang,

Ren,

Wang

et al. 2023

Adv Eng Mater

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Hot compression experiments with the deformation temperatures of 750‐950 °C and the strain rates of 0.01‐10 s‐1 were carried out on a Gleeble‐3500 thermal‐mechanical simulator. The flow behavior and dynamic recrystallization (DRX) mechanism of the Cu‐Ti‐Fe alloy were systematically studied under different hot deformation conditions. According to the curves of flow stress and work hardening rate, the DRX critical condition of the alloy is obtained, and the critical stress value of DRX is small under high‐temperature and low‐strain rate. After fitting, the logarithmic values of the critical stress and critical strain have a linear relationship with lnZ, which indicates that the alloy is more prone to DRX at high temperatures and low strain rates. The Arrhenius constitutive model of the alloy was established, the linear correlation coefficient (R2) was 0.984. Combined with the microstructure of Cu‐Ti‐Fe alloy, the microstructure evolution characteristics and DRX mechanism were elucidated. The dominant mechanism of the alloy under the deformation temperature of 750–950 °C is the DRX mechanism. The LAGBs transform into HAGBs and continuous dynamic recrystallization (CDRX) grains form. Abundant dislocations gather near the HAGBs, causing grain boundaries to protrude. High‐temperature conditions make the dislocations disappear, forming discontinuous dynamic recrystallization (DDRX) grains.This article is protected by copyright. All rights reserved.

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“…Therefore, the study of underground navigation positioning technology is crucial for the safety of underground personnel and equipment [11]. The existing underground navigation and positioning technologies can be divided into the following categories according to their positioning principles [12]: navigation technologies based on inertial devices, radio positioning technology, optical positioning technology, ultrasonic positioning technology, etc. Each type of localization and navigation technology has its own advantages and disadvantages in terms of its implementation difficulty and location accuracy [13].…”

Section: Introductionmentioning

confidence: 99%

Research on a system for the diagnosis and localization of conveyor belt deviations in belt conveyors

Wu,

Li,

Zhang

et al. 2023

Meas. Sci. Technol.

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To address the shortcomings of existing conveyor belt deviation detection methods, such as the small detection range and slow detection speed, a method that utilizes machine vision technology to detect belt deviations in belt conveyors is proposed. A track-type inspection robot was used to collect real-time running images of a conveyor belt; Wiener filtering was carried out, grayscale pro-cessing was used, Canny edge detection and the Hough transform operation were used to extract the straight lines of the edges of the conveyor belt, and the offset from the straight lines of the conveyor belt under normal running conditions was calculated. To address the cumulative error problem caused by the long time and long distance in the process of locating the wheel odometer, a joint lo-calization technology that used radio frequency identification (RFID) and a wheel odometer was proposed, and the error correction was carried out for a rotary encoder by using the RFID technology. The experimental results demonstrate that the detection method achieved a detection accuracy of over 90% with a detection speed of up to 40 frames per second (FPS). This method enables the fast and precise identification of conveyor belt deviations, and it satisfies the requirements for real-time detection for belt conveyors. The location accuracy of the localization system that combined RFID and a wheel odometer was able to reach the centimeter level, and the system could accurately locate the positions of belt deviations. This is of vital significance for ensuring safety and efficiency in pro-duction by enterprises.

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Navigation and positioning technology in underground coal mines and tunnels: A review

Cited by 13 publications

References 21 publications

Research on collaborative positioning of intelligent vehicle aided navigation based on computer vision technology

Research on collaborative positioning of intelligent vehicle aided navigation based on computer vision technology

Study on Hot Deformation Behavior and Dynamic Recrystallization Mechanism of Cu‐Ti‐Fe Alloy

Research on a system for the diagnosis and localization of conveyor belt deviations in belt conveyors

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