An innovative person detection system based on thermal imaging cameras dedicate for underground belt conveyors

• Autorzy: Uth F. , Polnik B. , Kurpiel W. , Kriegsch P. , Baltes R. , Clausen E.

Identyfikatory

DOI

10.5277/msc192618

• Języki publikacji: EN

Abstrakty

EN

Within the INESI-project (Increasing Efficiency and Safety Improvement in Underground Mining Transportation Routes) long-wavelength infrared (LWIR) cameras are used for detecting persons on underground belt conveyors or within hazardous areas e.g. in front of crusher or skip vessels by the project partners KOMAG and the Institute for Advanced Mining Technologies (AMT). The test case for evaluating the performance of thermal imaging regarding these applications is the Polish Sobieski underground coal mine operated by Tauron mining company. By the development of thermal image processing algorithms, an automated detection of persons and classification of different objects was achieved. This may allow implementing smart services for person detection on underground belt conveyors as well as material characterization between coal, rock and disturbing objects on belt conveyors.

Słowa kluczowe

EN

thermography; conveyor belt; mine; health and safety; person detection

• Wydawca: Wydział Geoinżynierii, Górnictwa i Geologii, Instytut Górnictwa Politechniki Wrocławskiej
• Czasopismo: Mining Science
• Rocznik: 2019
• Tom: Vol. 26
• Strony: 275--288
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Uth F.

• Institute for Advanced Mining Technologies (AMT), RWTH Aachen University, Wüllnerstraße 2, 52062 Aachen

autor

Polnik B.

• KOMAG Institute of Mining Technology, Division of Drives and Control Systems, Pszczyńska 37, 44-101 Gliwice, Poland

autor

Kurpiel W.

• KOMAG Institute of Mining Technology, Division of Drives and Control Systems, Pszczyńska 37, 44-101 Gliwice, Poland

autor

Kriegsch P.

• Institute for Advanced Mining Technologies (AMT), RWTH Aachen University, Wüllnerstraße 2, 52062 Aachen

autor

Baltes R.

• Institute for Advanced Mining Technologies (AMT), RWTH Aachen University, Wüllnerstraße 2, 52062 Aachen

autor

Clausen E.

• Institute for Advanced Mining Technologies (AMT), RWTH Aachen University, Wüllnerstraße 2, 52062 Aachen

Bibliografia

• BISHOP C.M., 2009, Pattern recognition and machine learning, 8th ed., Springer, New York, NY.
• BERNHARD F., 2014, Handbuch der Technischen Temperaturmessung, Springer, Berlin, Heidelberg.
• Cooperative Institute for Meterological Satellite Studies Space Science Engineering Center (SSEC), University of Wisconsin-Madison, [available online] https://cimss.ssec.wisc.edu/sage/meteorology/ lesson1/AtmAbsorbtion.htm [accessed: 8th of May 2019].
• JASIULEK D., MALEC M., POLNIK B., STANKIEWICZ K., TRENCZEK S., 2019, State-of-the-art mechatronic systems for mining developed in Poland, Mining Goes Digital – Proceedings of the 39th International Symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM, pp. 686–694.
• POLNIK B., 2015, Tests of a longwall shearer diagnostic system using infrared camera, Measurement Automation Monitoring, No. 6, 249–252.
• UTH F., 2019, Development of a person detection system on underground conveyors, INESI First Periodic Report Task 3.2, 1st of March.
• UTH F., POLNIK B., 2018, Specifications for demonstrator of the thermal imaging person detection system, INESI Milestone M.3.1, 31st of October.
• UTH F., TOKARCZYK J., 2019, 4th progress meeting of INESI-Project, Velenje, Slovenia, 27th of March.
• VOLLMER M., MÖLLMANN K.P., 2010, Infrared thermal imaging: Fundamentals, research and applications, Wiley-VCH, Weinheim.

Uwagi

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