Proceedings of the Automation & IT Seminar


ISSN 2594-5335

17º Seminário de Automação vol. 17, num.17 (2013)


Title

THE USE OF HIGH FREQUENCY RADARS TO ESTABLISH A RELIABLE AND ROBUST COKE OVEN MACHINE POSITION CONTROL SYSTEM

THE USE OF HIGH FREQUENCY RADARS TO ESTABLISH A RELIABLE AND ROBUST COKE OVEN MACHINE POSITION CONTROL SYSTEM

DOI

10.5151/2594-5335-23898

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Abstract

Modern automation and instrumentation technology solutions encounter a variety of difficulties related to installation at the extremely harsh coke oven plant environment. Such problematic issues as high temperatures, spillage coke, coke dust and quality of foundation civil works present very high demands for maintenance as well as applicable automation solutions with reliable operation. This paper evaluates the problematic issues related to achieving the highly accurate positioning sequence of heavy machinery in the harsh coke oven plant environment. As presented in this paper, the solution consists of a bracketless and maintenance-free radar based positioning application. The benefits of a radar-based solution include reduced plant downtime (increased coke throughput), more efficient plant operations, reduced maintenance requirements, improved operational safety and numerous benefits related to system integration. The results of the latest R&D venture conducted jointly by Siemens Metals Technologies' Center of Technology for cokemaking and a reference coke oven plant are presented. The subject coke oven battery is a 25-year- old top charging battery consisting of 72 ovens. During the R&D project, redundant radar based measurement along with Siemens’ intelligent SIMETAL Coke Radar application software was implemented to all of the machines at the subject coke oven battery. The results show that an average positioning accuracy of ±1,2mm and a maximum deviation of ±5mm was achieved. In addition, it was confirmed by the reference plant representatives that the radar based system is suitable for primary means of positioning and continuous operation in the coke oven plant environment.

 

Modern automation and instrumentation technology solutions encounter a variety of difficulties related to installation at the extremely harsh coke oven plant environment. Such problematic issues as high temperatures, spillage coke, coke dust and quality of foundation civil works present very high demands for maintenance as well as applicable automation solutions with reliable operation. This paper evaluates the problematic issues related to achieving the highly accurate positioning sequence of heavy machinery in the harsh coke oven plant environment. As presented in this paper, the solution consists of a bracketless and maintenance-free radar based positioning application. The benefits of a radar-based solution include reduced plant downtime (increased coke throughput), more efficient plant operations, reduced maintenance requirements, improved operational safety and numerous benefits related to system integration. The results of the latest R&D venture conducted jointly by Siemens Metals Technologies' Center of Technology for cokemaking and a reference coke oven plant are presented. The subject coke oven battery is a 25-year- old top charging battery consisting of 72 ovens. During the R&D project, redundant radar based measurement along with Siemens’ intelligent SIMETAL Coke Radar application software was implemented to all of the machines at the subject coke oven battery. The results show that an average positioning accuracy of ±1,2mm and a maximum deviation of ±5mm was achieved. In addition, it was confirmed by the reference plant representatives that the radar based system is suitable for primary means of positioning and continuous operation in the coke oven plant environment.

Keywords

Coke oven machine; Radar; Positioning; Interlocking.

Coke oven machine; Radar; Positioning; Interlocking.

How to refer

Veijola, Ilmari; Kronqvist, Timo; Ritamäki, Olaus. THE USE OF HIGH FREQUENCY RADARS TO ESTABLISH A RELIABLE AND ROBUST COKE OVEN MACHINE POSITION CONTROL SYSTEM , p. 263-271. In: 17º Seminário de Automação, São Paulo, 2013.
ISSN: 2594-5335 , DOI 10.5151/2594-5335-23898