693
The Bluester system is adapted to work in mine workings classified as “a”, “b” and “c”
of the danger of methane explosion as well as class A and B of coal dust explosion hazard.
The MLA charger is intended for use in non-hazardous areas. The main advantages of the
Bluester System are:
− Wireless remote control increases operator’s mobility and work safety.
− Versatility – it can be adapted to operate with any device.
− It can work in methane and/or coal dust explosion hazard areas.
− The range of the operational distance eliminates a possibility of an uncontrolled departure
of the machine from the operator.
− Control function – checking compliance with safety procedures set by the manufacturer or
the supervising mine authorities by remote reading of RFID markers.
− Reduction of operational costs.
3 SUMMARY
Control and monitoring systems, capable of adaptation and learning, are used in industrial
practice on a larger scale. Internet of Things (IoT) techniques and direct communication
M2M (Machine to Machine) have an impact on the structure and functionality of control
systems used in machines, shaping the idea of Industry 4.0.
A practical use of energy harvesting is possible due to an implementation of electronic
circuits with low energy demands, which enable energy management coming from low power
sources to supply wireless sensors operating in self-organizing networks.
An example of a control system with a distributed architecture is the KOGASTER control system based on the CAN bus and the CANopen protocol. The use of intrinsically
safe devices in the KOGASTER system enables its implementation to control machines
and devices operating in zones where there is a risk of methane and coal dust explosions.
The method of the self-organization of the communication system, based on a swarm
algorithm enables an implementation of the state-of-the-art and effective routing technology
in the networks of mesh topology, including those used in underground mines, especially in
diagnostic and monitoring systems, as well as for a protection of machines. Subassemblies
of the networks equipped with MTU nodes can be treated as components of a measuring
swarm. It is particularly important for operational safety in underground mines due to the
reliability of mesh networks.
REFERENCES
Bartoszek S., Jagoda J., Jura J. System diagnostyczny ładowarki bocznie wysypującej bazujący na
iskrobezpiecznej magistrali CAN. Szybkobieżne Pojazdy Gąsienicowe (32) nr 1, Ośrodek Badawczo
– Rozwojowy Urządzeń Mechanicznych OBRUM sp. z o.o., Gliwice 2013.
Bartoszek S., Jagoda J., Jura J., Latos M. Systemy wbudowane w zespołach sterowania, diagnostyki oraz
wizualizacji dla górnictwa. Monografia KOMTECH 2014, Instytut Techniki Górniczej KOMAG,
Gliwice 2014, ISBN 978-83-60708-83-5.
Batko W., Borkowski B., Głocki K. Application of database systems in machine diagnostic monitoring.
Eksploatacja i Niezawodność – Maintenance and Reliability 2008; 1: 7–10.
Berger R. The digital transformation of industry, BDI, 2015, s. 20, https://www.rolandberger. com/
media/pdf/Roland_Berger_digital_transformation_of_industry_20150315.pdf.
Boukerche A. Alhorithms and Protocols for Wireless and Mobile Ad Hoc Networks. Wiley. Ottawa
2009.
Feeney L.M. A Taxonomy for Routing Protocols in Mobile Ad Hoc Networks. SICS. Technical Report
T99/07. Kista 1999.
Gilbert J.M., Balouchi F. Comparison of Energy Harvesting Systems for Wireless Sensor Networks.
International Journal of Automation and Computing 05(4), October 2008, 334–347.
Gładysiewicz L, Król R, Bukowski J. Tests of conveyor resistance to motion. Eksploatacja i
Niezawodność – Maintenance and Reliability 2011; 3: 17–25.
The Bluester system is adapted to work in mine workings classified as “a”, “b” and “c”
of the danger of methane explosion as well as class A and B of coal dust explosion hazard.
The MLA charger is intended for use in non-hazardous areas. The main advantages of the
Bluester System are:
− Wireless remote control increases operator’s mobility and work safety.
− Versatility – it can be adapted to operate with any device.
− It can work in methane and/or coal dust explosion hazard areas.
− The range of the operational distance eliminates a possibility of an uncontrolled departure
of the machine from the operator.
− Control function – checking compliance with safety procedures set by the manufacturer or
the supervising mine authorities by remote reading of RFID markers.
− Reduction of operational costs.
3 SUMMARY
Control and monitoring systems, capable of adaptation and learning, are used in industrial
practice on a larger scale. Internet of Things (IoT) techniques and direct communication
M2M (Machine to Machine) have an impact on the structure and functionality of control
systems used in machines, shaping the idea of Industry 4.0.
A practical use of energy harvesting is possible due to an implementation of electronic
circuits with low energy demands, which enable energy management coming from low power
sources to supply wireless sensors operating in self-organizing networks.
An example of a control system with a distributed architecture is the KOGASTER control system based on the CAN bus and the CANopen protocol. The use of intrinsically
safe devices in the KOGASTER system enables its implementation to control machines
and devices operating in zones where there is a risk of methane and coal dust explosions.
The method of the self-organization of the communication system, based on a swarm
algorithm enables an implementation of the state-of-the-art and effective routing technology
in the networks of mesh topology, including those used in underground mines, especially in
diagnostic and monitoring systems, as well as for a protection of machines. Subassemblies
of the networks equipped with MTU nodes can be treated as components of a measuring
swarm. It is particularly important for operational safety in underground mines due to the
reliability of mesh networks.
REFERENCES
Bartoszek S., Jagoda J., Jura J. System diagnostyczny ładowarki bocznie wysypującej bazujący na
iskrobezpiecznej magistrali CAN. Szybkobieżne Pojazdy Gąsienicowe (32) nr 1, Ośrodek Badawczo
– Rozwojowy Urządzeń Mechanicznych OBRUM sp. z o.o., Gliwice 2013.
Bartoszek S., Jagoda J., Jura J., Latos M. Systemy wbudowane w zespołach sterowania, diagnostyki oraz
wizualizacji dla górnictwa. Monografia KOMTECH 2014, Instytut Techniki Górniczej KOMAG,
Gliwice 2014, ISBN 978-83-60708-83-5.
Batko W., Borkowski B., Głocki K. Application of database systems in machine diagnostic monitoring.
Eksploatacja i Niezawodność – Maintenance and Reliability 2008; 1: 7–10.
Berger R. The digital transformation of industry, BDI, 2015, s. 20, https://www.rolandberger. com/
media/pdf/Roland_Berger_digital_transformation_of_industry_20150315.pdf.
Boukerche A. Alhorithms and Protocols for Wireless and Mobile Ad Hoc Networks. Wiley. Ottawa
2009.
Feeney L.M. A Taxonomy for Routing Protocols in Mobile Ad Hoc Networks. SICS. Technical Report
T99/07. Kista 1999.
Gilbert J.M., Balouchi F. Comparison of Energy Harvesting Systems for Wireless Sensor Networks.
International Journal of Automation and Computing 05(4), October 2008, 334–347.
Gładysiewicz L, Król R, Bukowski J. Tests of conveyor resistance to motion. Eksploatacja i
Niezawodność – Maintenance and Reliability 2011; 3: 17–25.