Maintenance of Belt Conveyor Systems in Poland – An Overview

Zimroz, Radosław; Hardygóra, M.; Błażej, R.

doi:10.1007/978-3-319-12301-1_3

Cited by 20 publications

(19 citation statements)

References 8 publications

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“…Known NDT methods studied and used for steel cord belts monitoring are based on electromagnetic measurements and include: inductive, reluctance, induced voltage, X-ray and ultrasonic techniques. Whereas, in case of fabric belts capacitive, ultrasonic and X-ray methods have been applied [24]. Fusing those methods with our approach would provide more comprehensive information for better understanding of conveyor belt characteristics and improved design and construction of conveyor belt systems.…”

Section: Discussionmentioning

confidence: 99%

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Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface

et al. 2020

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Usually, substantial part of a mine haulage system is based on belt conveyors. Reliability of such system is significant in terms of mining operation continuity and profitability. Numerous methods for conveyor belt monitoring have been developed, although many of them require physical presence of the monitoring staff in the dangerous environment. In this paper, a remote sensing method for assessing a conveyor belt condition using the Terrestrial Laser Scanner (TLS) system has been described. For this purpose a methodology of semi-automatic processing of point cloud data for obtaining the belt geometry has been developed. The sample data has been collected in a test laboratory and processed with the proposed algorithms. Damaged belt surface areas have been successfully identified and edge defects were investigated. The proposed non-destructive testing methodology has been found to be suitable for monitoring the general condition of the conveyor belt and could be exceptionally successful and cost-effective if combined with an unmanned, robotic inspection system.

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Section: Discussionmentioning

confidence: 99%

“…To support maintenance procedures, one may use SCADA systems [18], portable devices based on termography [19], vibration measurements [1,2], Internet of Things components [20] or robotic systems for inspection [21][22][23]. Summary on the maintenance of belt conveyors may be found in [24].…”

Section: Introduction 1belt Conveyor Maintenancementioning

confidence: 99%

Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface

et al. 2020

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“…Both the transport system and the skips were scheduled on a 24-hour basis. All belt conveyors were scheduled to be offline from 5 to 7 AM and at 6 PM due to rock blasting, shift change and maintenance works [25][26][27]. Consequently, down time of the skips was scheduled from 6 to 11 PM.…”

Section: Methodsmentioning

confidence: 99%

Empirical Model of Discretized Copper Ore Flow Within the Underground Mine Transport System

Bardziński¹,

Krol²,

Jurdziak³

2019

Int. j. simul. model.

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A model of the transport system in a copper ore mine was prepared using FlexSim software and the simulations were performed for five days. Empirical parameters were applied to each item of the transport system in order for the ore transport times to correspond to the actual conditions. Both the class-and the loading point-specific haul truck courses were based on the five-day schedule. Mean inter-arrival times were modelled for haul trucks according to empirical histograms. The ore portions were discretized and their masses were based on haul truck load capacities. The simulations were performed for twelve variants covering the unavailability of different ore sources. The recorded statistics include ore provenience, lithology, Cu content and tag survival rate for RFID-tagged ore variants. The model represents the new way of solving the problem of ore mixing in a conveyor beltbased transport system. Adoption of the proposed scheme, will allow the enrichment plant managers to adjust the milling and crushing parameters to the lithology of the ore before it will leave the mine. The model allows to pinpoint the areas in the mine that produce certain demanded lithological factions and helps the managers to choose the most desirable pattern of the mining schedule and forecast the economical outcome.

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“…For this reason, the technical condition of infrastructure elements is regularly inspected. Operation and maintenance of mining assets are carried out by a properly trained maintenance worker with valid authorizations [1]. The schedule of periodic machine service strictly defines the scope of maintenance and repair activities for a given machine, carried out monthly, quarterly, semi-annually, and annually.…”

Section: Introductionmentioning

confidence: 99%

Procedures of Detecting Damage to a Conveyor Belt with Use of an Inspection Legged Robot for Deep Mine Infrastructure

et al. 2021

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Conveying systems are responsible for a large part of continuous horizontal transportation in underground mines. The total length of a conveyor network can reach hundreds of kilometers, while a single conveyor usually has a route length of about 0.5–2 km. The belt is a critical and one of the most costly components of the conveyor, and damage to it can result in long unexpected stoppages of production. This is why proper monitoring of conveyor belts is crucial for continuous operation. In this article, algorithms for the detection of potential damage to a conveyor belt are described. The algorithms for analysis used video recordings of a moving belt conveyor, which, in case the of hazardous conditions of deep mines, can be collected, for example, by a legged autonomous inspection robot. The video was then analyzed frame by frame. In this article, algorithms for edge damage detection, belt deviation, and conveyor load estimation are described. The main goal of the research was to find a potential application for image recognition to detect damage to conveyor belts in mines.

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Maintenance of Belt Conveyor Systems in Poland – An Overview

Cited by 20 publications

References 8 publications

Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface

Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface

Empirical Model of Discretized Copper Ore Flow Within the Underground Mine Transport System

Procedures of Detecting Damage to a Conveyor Belt with Use of an Inspection Legged Robot for Deep Mine Infrastructure

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