Development of a Dust Violation Control Tool from Plant Data

2018-11-22
Mining is an equipment-intensive industry that utilizes machinery both in production and mineral processing. As an essential part of sustainable development, mining is subject to environmental management from many aspects. The decision-making process integrated into all stages of mining has to be based on reliable data. Available technology enables to track and monitor the production stages in mining by using various sensors and systems. Data related to mining and mineral processing activities have different characteristics and therefore might be handled in different IT infrastructures. However, the integration of these different data infrastructures is of key importance for management. Mineral processing plant equipment is potentially a data source of process type of data, unique by its volume and frequency. Analyzing process type of data, such as sensors, is a challenging task for engineers that work in a dynamic work environment. Belt conveyors located in the mineral processing plants transport material between different stages such as crushing and grinding which are monitored by sensor systems. The data collected by these sensors is commonly visualized on SCADA screens and can provide real-time data about the operation. This study focuses on the available sensor data of belt conveyors in a mineral processing plant with an aim to manage the dust generated during material transportation. The belt conveyors and the water spraying systems are equipped with tags that provide data for daily management. A data integration tool was developed to create an alarm system to track whether the dust suppression systems were active during material was conveyed in the mineral processing plant. As a result, violations of dust suppression were identified, and the alarm system was integrated into the environmental management system of the operation.
18th Symposium on Environmental Issues and Waste Management in Energy and Mineral Production

Suggestions

Improving mine-to-mill by data warehousing and data mining
Erkayaoğlu, Mustafa (Informa UK Limited, 2019-08-18)
Mining is an interdisciplinary industry that utilises equipment and technology intensively in daily operations. Mine-to-Mill is considered as a key concept for metal mining recently. Impact of underperformed basic upstream operations such as drilling and blasting will sustain this inefficiency in downstream processes, such as mineral processing. Data provided for each of these operations from software and hardware utilised on field reached a level where advanced data analytics becomes applicable. Data wareh...
Development of a virtual reality-based serious game for occupational health and safety training in underground mining
Gürer, Servet; Erkayaoğlu, Mustafa; Sürer, Elif; Department of Mining Engineering (2021-2-5)
Mining is a hazardous multi-disciplinary sector for workers and the working environment. It can be said that one of the most important methods to combat these risks is training. These pieces of training are usually given with traditional methods, but thanks to today’s technological developments, new training methods are also emerging, and simulations and serious games have become widely used tools in training. In this study, MINING-VIRTUAL, which is a very detailed and realistic serious game, is introduced....
Investigation of the particle breakage parameters in locked-cycle ball milling
Acar, Cemil; Hoşten, Çetin; Department of Mining Engineering (2012)
Size reduction processes, particularly fine grinding systems, in mineral processing and cement production plants constitute a great portion of energy consumption and operating costs. Therefore, the grinding systems should be designed properly and operated under optimum conditions to achieve productive and cost effective operations. The use of simulation based on kinetic mathematical models of grinding has proven useful in this respect. The kinetic models contain two essential parameters, namely, breakage ra...
Preliminary estimation of rock mass strength using diamond bit drilling operational parameters
BASARIR, H.; Karpuz, Celal (2016-03-03)
In many mining engineering applications such as prospecting, development, production and grouting, diamond bit drilling is widely used due to high penetration rate, core recovery and its ability to drill with less deviation. It has been well known that the operational parameters of diamond bit drilling are closely related with rock mass strength properties. One of the most widely discussed subjects in drilling is the possibility of using diamond drill bit operational parameters for preliminary estimation of...
Development of a dynamic maintenance algorithm with multiple scenarios: a case study for surface mining
Ölmez Turan, Merv; Gölbaşı, Onur; Department of Mining Engineering (2019)
Surface mining operations such as ore extraction and overburden stripping activities highly depend on machine performance. These machines’ operational plan aims to handle required amount of material within a specific period with the lowest maintenance cost and the highest availability. In order to achieve these objectives, the machines should be adapted to the production schedule properly. On this basis, maintenance policies play crucial roles in the sustainability of operations. A maintenance policy is bas...
Citation Formats
M. Erkayaoğlu, “Development of a Dust Violation Control Tool from Plant Data,” presented at the 18th Symposium on Environmental Issues and Waste Management in Energy and Mineral Production, Santiago, Şili, 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/80899.