Safety of CMS Experiment Systems Operation – Integration of a New CO2 Fire Extinguishing Weighing System to the CMS Safety Panel

Patrycja Górniak 1 , Andrzej Sobczyk 2 ,  und Janusz Pobędza 3
  • 1 CERN, EP-CMX-SCI, Switzerland
  • 2 Cracow University of Technology, Faculty of Mechanical Engineering, Poland
  • 3 Cracow University of Technology, Faculty of Mechanical Engineering, Poland


The subject of the article is the integration of a new CO2 fire extinguishing weighing system to the panel displaying the status of Compact Muon Solenoid (CMS) detector safety systems (CMS Safety Panel) at CERN. The CO2 fire extinguishing system is responsible for protection of unique control devices, so safety of its operation and the weighing system was designed to monitor the state of it and make it reliable. CMS Safety Panel displays status of safety systems used in CMS Experiment and it is based on JCOP Framework that guarantee compatibility of all the projects. The integration of the new CO2 fire extinguishing system to the CMS Safety Panel requires that the system meets the assumptions that other projects fulfil and allows for clear monitoring of its situation along with the rest of the security systems.

Falls das inline PDF nicht korrekt dargestellt ist, können Sie das PDF hier herunterladen.

  • Burkimsh, P., 2016. WinCC-OA & The JCOP Framework. [date: 0811.2018]

  • CERN JCOP FW Team, 2010. Joint controls project (JCOP) framework sub-project guidelines and conventions. [date: 08.11.2018]

  • Dudek, A., 2011. Investigations of microstructure and properties in bioceramic coatings used in medicine. Archives of Metallurgy and Materials, 56, 135-140, DOI: 10.2478/v10172-011-0015-y

  • Dudek, A., Włodarczyk, R., Nitkiewicz, Z., 2010. Structural analysis of sintered materials used for low-temperature fuel cell plates. Materials Science Forum 638-642, 536-541, DOI: 10.4028/

  • Dwornicka, R., 2014. The impact of the power plant unit start-up scheme on the pollution load. Advanced Materials Research, 874, 63-69. DOI: 10.4028/

  • Dwornicka, R., Radek, N., Krawczyk, M., Osocha, P., Pobędza, J., 2017. The laser textured surfaces of the silicon carbide analyzed with the bootstrapped tribology model. Metal 2017: 26th Int. Conf. Metallurgy and Materials, Ostrava, Tanger, 1252-1257.

  • Fabiś-Domagała, J., Filo, G., Momeni, H., Domagała, M., 2018. Instruments of identification of hydraulic components potential failures. MATEC Web Conf., 183, art. 03008, DOI: 10.1051/matecconf/201818303008

  • Fraden, J., 2010. Handbook of Modern Sensors. Physics, Designs, and Applications. Springer-Verlag New York.

  • Guidoni, G., Dudek, A., Patsias, S., Anglada, M., 2005. Fracture behaviour of thermal barrier coatings after high temperature exposure in air. Materials Science and Engineering: A, 397, 209-214, DOI:

  • Henley, A.J., Wolf, D., 2018. Learn Data Analysis with Python. Lessons in coding. Apress, USA.

  • Klimecka-Tatar, D., 2018. Powder surface modification as a method of corrosion rate limitation of the magnetic RE-M-B composite in an acid medium with different pH. Materials Research Proceedings, 5, 231-236, DOI: 10.21741/9781945291814-41

  • Klimecka-Tatar, D., Borkowski, S., Sygut, P., 2015. The kinetics of Ti-1Al-1Mn alloy thermal oxidation and characteristic of oxide layer. Archives of Metallurgy and Materials, 60, 735-738, DOI: 10.1515/amm-2015-0199

  • Korzekwa, J., Skoneczny, W., Dercz, G., Bara, M., 2014. Wear mechanism of Al2O3/WS2 with PEEK/BG plastic. Journal of Tribology, 136, art. 011601. DOI: 10.1115/1.4024938

  • Lisowski, E., Filo, G., 2017. Analysis of a proportional control valve flow coefficient with the usage of a CFD method. Flow Measurement and Instrumentation, 53, 269-278, DOI: 10.1016/j.flowmeasinst.2016.12.009

  • Miller, C., 2018. Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing. Packt Publishing, Birmingham, UK.

  • Opydo, M., Kobyłecki, R., Dudek, A., Bis, Z., 2016. The effect of biomass co-combustion in a CFB boiler on solids accumulation on surfaces of P91 steel tube samples. Biomass & Bioenergy 85, 61-68.

  • Pietraszek, J., 2003. Response surface methodology at irregular grids based on Voronoi scheme with neural network approximator. In: Rutkowski L., Kacprzyk J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol. 19. Physica, Heidelberg, 250-255, DOI: 10.1007/978-3-7908-1902-1_35.

  • Pietraszek, J., Dwornicka, R., Krawczyk, M., Kołomycki, M., 2017. The non-parametric approach to the quantification of the uncertainty in the design of experiments modelling. UNCECOMP 2017, NTU of Athens, 598-604.

  • Pietraszek, J., Gądek-Moszczak, A., Toruński, T., 2014. Modeling of errors counting system for PCB soldered in the wave soldering technology. Advanced Materials Research, 874, 139-143, DOI: 10.4028/

  • Pietraszek, J., Kołomycki, M., Szczotok, A., Dwornicka, R., 2016. The fuzzy Approach to assessment of ANOVA results. In: Nguyen NT., Iliadis L., Manolopoulos Y., Trawiński B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science, vol 9875. Springer, 260–268, DOI: 10.1007/978-3-319-45243-2_24

  • Radek, N., Szczotok, A., Gądek-Moszczak, A., Dwornicka, R., Broncek, J., Pietraszek, J., 2018. The impact of laser processing parameters on the properties of electro-spark deposited coatings. Arch. Metall. Mater., 63, 2, 809-816, DOI: 10.24425/122407

  • Radziszewska-Wolińska, J.M., Kaźmierczak, A., 2018. Fire properties of upholstery and fire resistance of the complete passenger Seat. Mater. Res. Proc. 5, 31-36.

  • Radziszewska-Wolińska, J.M., Milczarek, D., 2018. Fire tests of non-metallic materials for walls and ceilings in rolling stock. Materials Research Proceedings, 5, 90-95, DOI: 10.21741/9781945291814-6

  • Radziszewska-Wolińska, J.M., Radek, N., Pasieczyński, L., 2018. Fire properties of “anti-graffiti” coating systems for rolling stock. AUTOMOTIVE SAFETY 2018: 11th Int. Science and Technical Conf. Automotive Safety, IEEE, New York. DOI: 10.1109/AUTOSAFE.2018.8373329

  • Scendo, M., Trela, J., Radek, N., 2014. Influence of laser power on the corrosive resistance of WC-Cu coating. Surface and Coatings Technology, 259, C, 401-407, DOI: 10.1016/j.surfcoat.2014.10.062.

  • Singh, B. et al., 2016a. Feasibility studies of time-like proton electromagnetic form factors at PANDA at FAIR. The European Physical Journal A, 52, art. 325.

  • Singh, B. et al., 2016b. Study of doubly strange systems using stored antiprotons. Nuclear Physics A, 954, 323-340.

  • Singh, B. et al., 2017. Feasibility study for the measurement of pi N transition distribution amplitudes at (P)over-barANDA in (P)over-barp -> J/psi pi(0). Physical Review D, 95(3), 25 p., art. 032003.

  • Skrzypczak-Pietraszek, E., Pietraszek, J., 2009. Phenolic acids in in vitro cultures of Exacum affine Balf. f. Acta Biologica Cracoviensia. Series Botanica, 51, 62-62.

  • Skrzypczak-Pietraszek, E., Piska, K., Pietraszek, J., 2018. Enhanced production of the pharmaceutically important polyphenolic compounds in Vitex agnus castus L. shoot cultures by precursor feeding strategy. Engineering in Life Sciences, 18, 287-297, DOI: 10.1002/elsc.201800003

  • Styrylska, T., Pietraszek, J., 1992. Numerical modeling of non-steady-state temperature-fields with supplementary data. Zeitschrift für angewandte Mathematik und Mechanik, 72, T537-T539.

  • Szabracki, P., Lipiński, T., 2014. Influence of sigma phase precipitation on the intergranular corrosion resistance of X2CrNiMoN25-7-4 super duplex stainless steel. Metal 2014: 23rd Int. Conference Metallurgy and Materials. Tanger, Ostrava, 476 481.

  • Ulewicz, M., Radzymińska-Lenarcik, E., 2011. Transport of metal ions across polymer inclusion membrane with 1-alkylimidazole. Physicochemical Problems of Mineral Processing, 46, 119-130.

  • Ulewicz, R., Selejdak, J., Borkowski, S., Jagusiak-Kocik, M., 2013. Process management in the cast Iron foundry. Metal 2013: 22nd Int. Conf. Metallurgy and Materials, Ostrava, Tanger, 1926-1931.


Zeitschrift + Hefte