Intellectual Management of Manufacturing Equipment in Digital Production
Authors: Kabaldin Y.G., Shatagin D.A., Kuzmishina A.M. | Published: 26.07.2018 |
Published in issue: #7(700)/2018 | |
Category: Mechanical Engineering and Machine Science | Chapter: Technology and Equipment for Mechanical and Physico-Technical Processing | |
Keywords: digital production, open CNC systems, built-in modules of neuroprocessors, communication module, intelligent control of equipment |
A unified basic control platform is proposed that could be used for developing a new generation of control systems for manufacturing equipment and improving existing CNC systems for digital production. Open CNC systems of machine tools can be used as such platforms. They have large computing resources and high processing speed of large databases, built-in modules of neuroprocessors and communication modules connected to industrial Internet, enabling the use of cloud data processing technologies on servers of enterprises (in local networks), as well as providers. All this creates a basis for intellectual management of a wide range of technological equipment with CNC systems.
References
[1] Sosonkin V.L., Martinov G.M. Printsipy postroeniia sistem s ChPU s otkrytoi arkhitekturoi [Principles of CNC systems with open architecture]. Pribory i sistemy upravleniia [Instruments and control systems]. 1996, no. 8, pp. 18–21.
[2] Iskusstvennyy intellekt i kiber-fizicheskie mekhanoobrabatyvayushchie sistemy v tsifrovom proizvodstve [Artificial intelligence and cyber-physical machining systems in digital manufacturing]. Ed. Kabaldin Yu.G. Nizhniy Novgorod, Nizhegorod. gos. tekhn. un-t im. R.E. Alekseeva publ., 2018. 271 p.
[3] Kabaldin Iu.G., Kretinin O.V., Shatagin D.A., Kuz’mishina A.M. Povyshenie effektivnosti protsessov mekhanoobrabotki na osnove podkhodov iskusstvennogo intellekta i nelineinoi dinamiki [Improving the efficiency of machining processes based on artificial intelligence approaches and nonlinear dynamics]. Moscow, Innovatsionnoe mashinostroenie publ., 2018. 184 p.
[4] Kabaldin Iu.G., Shatagin D.A., Kuz’mishina A.M. Upravlenie tekhnologicheskim oborudovaniem predpriiatiia v usloviiakh tsifrovykh proizvodstv na osnove iskusstvennogo intellekta i oblachnykh tekhnologii [Management of technological equipment of the enterprise in the conditions of digital productions on the basis of artificial intelligence and cloud technologies]. Sbornik materialov mezhdunarodnoi nauchno-prakticheskoi konferentsii Itogi 2017 goda: nauchnye issledovaniia i razrabotki [Results of 2017: research and development. Proceedings of the international scientific-practical conference]. 20 January 2018, Irkutsk, Nauchnoe partnerstvo «Apeks» publ., 2017, pp. 94–107.
[5] Selivanov S.G., Shaikhulova A.F., Poezzhalova S.N., Iakhin A.I. Innovatsionnoe proektirovanie tsifrovogo proizvodstva v mashinostroenii [Innovative design of digital production in mechanical engineering]. Moscow, Innovatsionnoe mashinostroenie publ., 2016. 264 p.
[6] Bukhanchenko S.E. Mezhdunarodnaia setevaia magisterskaia programma sozdaniia tsifrovykh predpriiatii [International network master’s program in digital business]. Available at: http://portal.tpu.ru:7777/departments/kafedra/arm/ns/ms1/pr_tempus.pdf (accessed 13 March 2018).
[7] Kabaldin Iu.G., Kolchin P.V. Trekhmernaia pechat’ metodom elektrodugovoi naplavki plaviashchimsia elektrodom pri proizvodstva detalei iz metallov na stankakh s ChPU [Three-dimensional printing method of electric arc welding by melting electrode in the production of metal parts on CNC machines]. Science 21 Century. Proceedings of materials the international scientific conference, 30–31 July 2015, Karlovy Vary, Moscow, Kirov, Mezhdunarodnyi tsentr nauchno-issledovatel’skikh proektov publ., 2015, pp. 56–61.
[8] Kabaldin Iu.G., Kretinin O.V., Seryi S.V., Shatagin D.A. Nanostrukturirovanie kontaktnykh poverkhnostei tverdosplavnogo instrumenta pri rezanii [Nanostructurizing of contact surfaces of hard alloy tool at cutting]. Vestnik mashinostroeniia [Russian Engineering Research]. 2014, no. 7, pp. 74–79.
[9] Kabaldin Iu.G., Laptev I.L., Shatagin D.A., Seryi S.V. Diagnostika vykhodnykh parametrov protsessa rezaniia v rezhime real’nogo vremeni na osnove fraktal’nogo i veivlet analizov s ispol’zovaniem programmno-apparatnykh sredstv National Instruments i NVIDIA CUDA [Diagnostics of output parameters of cutting process in real time mode based on fractal and wavelet analyses using National Instruments and Nvidia CUDA software and hardware]. Vestnik mashinostroeniia [Russian Engineering Research]. 2014, no. 8, pp. 80–82.
[10] Kabaldin Iu.G., Oleinikov A.I. Khaoticheskaia dinamika tekhnologicheskikh system [Manufacturing system chaotic dynamics]. Vestnik mashinostroeniia [Russian Engineering Research]. 2013, no. 4, pp. 71–74.
[11] Kabaldin Iu.G., Laptev I.L., Shatagin D.A., Zotov V.O., Seryi S.V. Diagnostika iznosa rezhushchego instrumenta na osnove fraktal’nogo i veivlet-analiza s ispol’zovaniem iskusstvennogo intellekta v rezhime real’nogo vremeni s vozmozhnost’iu udalennogo dostupa [Diagnosis tool wear based on the fractal and wavelet analisis using artificial intelligence in real time with remote 183 access capabilities]. Trudy NGTU im. R.E. Alekseeva [Transactions of NNSTU n.a. R.E. Alekseev]. 2013, no. 5(102), pp. 183–189.
[12] Kabaldin Iu.G., Bilenko S.V., Seryi S.V. Upravlenie dinamicheskimi protsessami v tekhnologicheskikh sistemakh mekhanoobrabotki na osnove na osnove iskusstvennogo intellekta [Control of dynamic processes in mechanical processing technological systems based on artificial intelligence]. Komsomolsk-na-Amure, Komsomolsk-na-Amure state university publ., 2003. 201 p.
[13] Kabaldin Iu.G., Laptev I.L., Shatagin D.A., Zotov V.O., Seryi S.V. Intellektual’nye sistemy diagnostiki sostoianiia oborudovaniia i iznosa instrumenta [Intelligent Diagnostic System the Plant and Tool Wear]. Mashinostroenie: setevoi elektronnyi nauchnyi zhurnal [Russian Internet Journal of Industrial Engineering]. 2014, no. 2, pp. 47–50. Available at: http://www.indust-engineering.ru/issues/2014/2014-2.pdf (accessed 15 January 2018).
[14] Kabaldin Iu.G., Laptev I.L., Shatagin D.A., Vytnov Iu.V., Golubev S.V. Otsenka sostoianiia rezhushchego instrumenta v rezhime real’nogo vremeni na osnove podkhodov nelineinoi dinamiki s ispol’zovaniem Nvidia CUDA v programmnoi srede LABVIEW [Evaluation of cutting tool in real time based approaches nonlinear dynamics using Nvidia CUDA software environment LABVIEW]. Trudy NGTU im. R.E. Alekseeva [Transactions of NNSTU n.a. R.E. Alekseev]. 2013, no. 5(102), pp. 114–121.