Simulation of Truck Haulage Operations in an Underground Mine Using Big Data from an ICT-Based Mine Safety Management System

Information communication technology (ICT)-based mine safety management systems are being introduced at numerous mining sites to track the location of equipment and workers in real time and monitor environmental changes. This paper presents the results of a case study in which the big data created by an ICT-based mine safety management system are used for simulating truck haulage operations. An underground limestone mine located in Danyang, South Korea was studied, and the data generated over three months, from October 1 to December 31, 2018, were analyzed. Truck tag packet data recognized by relays were extracted and analyzed to calculate the averages and standard deviations of the truck travel times of each mine segment. A discrete event simulation program that simulates truck haulage operations in the study area was developed. Haulage times, the number of haulage operations, production output, and truck delay times were predicted, and results were compared with the actual operation results that were obtained on January 2 and 9, 2019. The difference between the predicted and actual results for the total amount of loaded ore was 30 tons for January 2 and 0 tons for January 9. The mean absolute error between the predicted and observed truck travel times was 0.13 min for January 2 and 0.14 min for January 9. The truck travel times that were measured differently according to the data aggregation period were set as temporal factors, and truck haulage simulations were performed. The results showed that more reliable simulation results were obtained as data accumulation time increased.

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Premises of the creation of a digital traffic safety management system

Dependability ◽

10.21683/1729-2646-2019-19-4-45-52 ◽

2019 ◽

Vol 19 (4) ◽

pp. 45-52

Author(s):

A. М. Zamyshliaev

Keyword(s):

Data Mining ◽

Big Data ◽

Control Systems ◽

Traffic Safety ◽

Management System ◽

Safety Management ◽

Digital Transformation ◽

Safety Management System ◽

Real Time Traffic ◽

The Creation

Aim.The digital transformation of the traffic safety management system in JSC RZD involves top-level integration with the operating processes of all business units in terms of integral assessment of the risk of possible events and achievement of specified indicators. The result will be the merger of the traffic safety management system with the processes of all levels of the company’s management enabled by an integrated intelligent system for managing processes and services whose functionality includes real-time traffic safety management.Methods. The paper uses system analysis of existing approaches and methods of processing of large quantities of structured and unstructered data.Results. The paper examines the development stages of train traffic safety management, as well as automated information and control systems that enable traffic safety management. General trends in the creation of systems for collection and processing of information are analyzed. The applicability of such technologies as Big Data, Data Mining, Data Science as part of advanced control systems is shown. The paper examines the performance of the above technologies by analyzing the effect of various factors on the average daily performance of a locomotive, where, at the first level, such factors as average daily run of a locomotive, average trainload are taken into consideration; at the second level, the focus is on the service speed, locomotive turnover at station, etc.; at the sixth level, the focus is on the type of locomotive, its technical state, etc. It is shown that statistical methods of factor analysis and link analysis combined with such other methods of Data Mining as methods of simulation and prediction, the average daily performance of a locomotive can be planned proactively. The author proposes a procedure of migration towards a digital traffic safety management system that would be based on models of interaction of safety and dependability factors of all railway facilities at all railway levels of hierarchy, as well as in association with other factors that have no direct relation to dependability, yet affect the safety of the transportation process.Conclusions. The primary benefit of migration towards Big Data consists in the development of a dynamic model of traffic safety, the elimination of human factor in control systems. Most importantly, it enables the creation within the Russian Railways company (JSC RZD) of an integrated intelligent process and service management system that enables real-time traffic safety management. An extensive process of development and deployment within the company of the URRAN Single Corporate Platform (SCP) enabled executive decision support as regards risk-based functional dependability and safety of transportation facilities. Thus, the URRAN SCP sets the stage for the digital transformation of the traffic safety management system in JSC RZD.

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Study on Coal Mine Safety Management System based on “Hazard, Latent Danger and Emergency Responses”

Procedia Engineering ◽

10.1016/j.proeng.2014.10.423 ◽

2014 ◽

Vol 84 ◽

pp. 172-177 ◽

Cited By ~ 9

Author(s):

Wu Bing ◽

Xu Zhengdong ◽

Zhou Yao ◽

Peng Yan ◽

Yu Zhenjiang

Keyword(s):

Coal Mine ◽

Management System ◽

Safety Management ◽

Mine Safety ◽

Safety Management System ◽

Coal Mine Safety ◽

Emergency Responses

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Analisis Manajemen Risiko Keselamatan di Perusahaan Kontraktor Pertambangan Batubara Site XYZ Berdasarkan Sistem Manajemen Keselamatan Pertambangan Mineral dan Batubara

Pro Health Jurnal Ilmiah Kesehatan ◽

10.35473/proheallth.v2i1.291 ◽

2020 ◽

Vol 2 (1) ◽

Author(s):

Astien Setianingrum ◽

Indri Hapsari Susilowati

Keyword(s):

Risk Management ◽

Management System ◽

Safety Management ◽

Data Retrieval ◽

Study Data ◽

Mine Safety ◽

Safety Management System ◽

Management Standards ◽

Risk Management Process ◽

Mining Safety

Risk management is a process of managing risk so the organization can achieve its goals. A strong fundamental is necessary for understanding the concept of risk management before it is implemented. This study will analyze mining safety risk management at PT HPU site XYZ based on the Mineral and Coal Mine Safety Management System (SMKP Minerba). This research is a qualitative descriptive study . Data retrieval is done through in-depth interviews and document review (documentation) with key informants, namely, 4 Project Managers, 14 Superintendents, and 18 Foreman.The results of the interviews were analyzed by its content and compared to PT HPU documents based on Mineral and Coal Mining Safety Management System (SMKP Minerba) and also other risk management standards (ISO 31000: 2009, AS / NZS 4360: 2004, and ISO 45001: 2018) for additional reference. Based on content analysis, it was found that the supervisor's interpretation of PT HPU regarding risk management was not fully in accordance with risk management standards since the company's procedures had not accommodated the entire risk management process. Therefore, it is necessary to formulate procedures for risk management that are integrated with the company's mining safety management system and understood by each line of management.

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