IVS Joint Venture, Saint-Petersburg, Russia

D. A. Bashkov, Leading System Engineer
V. A. Veselov, System Engineer
E. A. Isaev, Head of a Sector, E_Isaev@rivs.ru

The article describes practical engineering of an automatic production control system at Nikolaevskaya Processing Plant in the Republic of Kazakhstan. To reach the goal, the authors divided the plant into separate parts (process stages). The control system has three levels. The upper level includes a communication box with active communications hardware, database servers, two automation-equipped work stations of the central operator’s station, three panels to display mnemonic diagrams of a production process, an engineer station, seven work stations for technical staff and office appliances. The medium level accommodates workstation to control process circuits, communications boxes of controller equipment or remote input/output equipment and active communications hardware. The lower level are local subsystems of IVS manufacture and some nonintegral field equipment to monitor process variables. To implement remote status control, the automatic production control system facilities are connected with start-control devices of electrical equipment. The system performs functions of control and information. The analyses and collation of accumulated data are implemented by IVS technologists starting from precommissioning stage. The extraction process optimization parameters are calculated. Having evaluated the obtained data, IVS technologists developed a reagent procedure, operating regimes for flotation machines and hydrocyclones, ore–water system modes and so on, for all systems of the processing plant. All techniques are developed with a view to enhancing metal recovery. The techniques were sent to programmers to create production process control algorithms to make an “analytical package” of RIVSExpert software support included in the system and meant for acquisition, processing and collation of data on different processes. Also, IVS technicians provided transmission of data to a headquarters plant or a management company.

1. Zimin A. V., Trushin A. A., Bondarenko A. V. Vector of development of means and systems of automation for mining-concentration productions at Scientifi c and Production Association "RIVS". Gornyi Zhurnal. 2014. No. 11. pp. 91–95.
2. Trushin A. A., Sedov A. V., Lyubichenko A. A., Nikandrov I. S. Systems of automatic regulation of flotation process (Scientific and Production Association «RIVS»). Gornyi Zhurnal. 2010. No. 10. pp. 69–74.
3. Shumskaya E. N., Soloveva L. M., Poperechnikova O. Yu. Improvement of the concentration technology of polymetallic ore of Artemevskoe deposit (Kazakhmys PLC, Republic of Kazakhstan). Gornyi Zhurnal. 2012. No. 11. pp. 63–67.
4. Bondarenko A. V., Karamyshev N. I., Trushin A. A., Katsman Ya. M. Calculation of metals balance as an element of process control system of concentration plant. Gornyi Zhurnal. 2014. No. 11. pp. 100– 104.
5. Morozov V. V., Topchaev V. P., Ulitenko K. Ya., Ganbaatar Z., Delgerbat L. Development and application of mineral dressing process control systems. Moscow : «Ore and Metals» Publishing House, 2013. 512 p.
6. Iskanderov Yu. M. Creation of knowledge base for intellectual systems. 2003. 233 p.
7. Remes A. Advanced Process Monitoring and Control Methods in Mineral Processing Applications. Espoo : Aalto University, 2012. 76 p.

8. Zatulovskiy К. A. Modding of Clarifi cr-Thickoier at Steady State. 62 Berg- und Hüttenmännischer Tag. Innovation in Geoscience, Geoengineering and Metallurgy : Proceedings of the International Conference. Freiberg. 2011. Vol. 1. pp. 156–162.
9. Proceedings of the Graduate School in Chemical Engineering. Year book 2011. Lappeenranta, Finland, 2011. pp. 287–289.
10. Shean B. J., Cilliers J. J. A review of froth fl otation control. International Journal of Mineral Processing. 2011. Vol. 100, Iss. 3-4. pp. 57–71.
11. Advanced Process Control. The proven way to process optimization. ABB. Available at: https://library.e.abb.com/public/fa34b897958489a9c1257ad7005753d5/Brochure_APC_low.pdf (accessed: 05.05.2016).
12. cpmPlus Expert Optimizer. Advanced optimization for your industry. ABB. Available at: https://library.e.abb.com/public/a3004e27e4286e52c12576be0038ce06/cpmPlus_Exp_Opt_3BHS%20291766_lr.pdf (accessed: 05.05.2016).
13. Mielli Fabio. Advanced Process Control and Mineral Processing Applications. Schneider Electric. 2014. Available at: http://blog.schneider-electric.com/mining-metals-minerals/2014/05/29/advanced-process-control-mineral-processing-applications/ (accessed: 28.04.2016).
14. Popkov Yu. N., Prokopov A. Yu., Prokopova M. V. Informational technologies in mining. Novocherkassk : Platov South-Russian State Polytechnic University, 2007. 202 p.
15. Gasper B. S. Information computer networks and process control systems : tutorial. Perm : Perm State Technical University, 2007. 123 p.