PRANA (system): Difference between revisions

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'''PRANA''' is the first Russia’s predictive analytics and remote monitoring IIoT system. It was developed by ROTEC JSC under the supervision of M.V. [[Lifshitz]], Chairman of the Board of Directors of the company.<ref name="автоссылка3">{{Cite web|url=https://www.eprussia.ru/news/base/2019/3196596.htm|title=«РОТЕК» внедрит систему предиктивной аналитики на объектах «Россети»|website=www.eprussia.ru|access-date=2021-07-09}}</ref><ref>{{Cite journal |author = |editor= |format= |url= https://www.kommersant.ru/speaker/3618/biography/old |title= Михаил Лифшиц |type= |orig-year= | agency = |edition= Коммерсантъ |location= |date= |year= |publisher= |at= |volume= |issue= |number= |pages = |page= |series= |isbn = |issn = |doi = |bibcode = |arxiv = |pmid = |ref= |archive-url = |archive-date = |language= |quote= }}</ref><ref>https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/</ref><ref>https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr</ref>

'''PRANA''' is the first Russia’s predictive analytics and remote monitoring IIoT system. It was developed by ROTEC JSC under the supervision of M.V. [[Lifshitz]], Chairman of the Board of Directors of the company.<ref name="автоссылка3">{{Cite web|url=https://www.eprussia.ru/news/base/2019/3196596.htm|title=«РОТЕК» внедрит систему предиктивной аналитики на объектах «Россети»|website=www.eprussia.ru|access-date=2021-07-09}}</ref><ref>{{Cite journal |author = |editor= |format= |url= https://www.kommersant.ru/speaker/3618/biography/old |title= Михаил Лифшиц |type= |orig-year= | agency = |edition= Коммерсантъ |location= |date= |year= |publisher= |at= |volume= |issue= |number= |pages = |page= |series= |isbn = |issn = |doi = |bibcode = |arxiv = |pmid = |ref= |archive-url = |archive-date = |language= |quote= }}</ref><ref>{{Cite web|lang=ru|url=https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/|title=Промышленный интернет для черного ящика}}</ref><ref>{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr|title=Система прогностики «Прана» включена в Реестр отечественного ПО}}</ref>

The system’s name “PRANA” originated from the combination of words “PRedictive ANAlytics”.<ref>https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/

The system’s name “PRANA” originated from the combination of words “PRedictive ANAlytics”.<ref>{{Cite web|lang=ru|url=https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/

https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/</ref> The system predicts probable incidents due to early detection of defects, i.e. 2–3 months before they affect the equipment operability.<ref>{{Cite web|url=https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/|title=Промышленный интернет для черного ящика|website=stimul.online|access-date=2021-07-29}}</ref><ref>{{Cite web|lang=ru|url=https://www.vedomosti.ru/business/articles/2020/06/04/831946-katastrofi-mozhno-bilo-izbezhat|title=Катастрофы в Норильске можно было избежать|website=Ведомости|access-date=2021-07-09}}</ref><ref name="автоссылка2">{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr|title=Система прогностики «Прана» включена в Реестр отечественного ПО|website=CNews.ru|access-date=2021-07-09}}</ref>

https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/|title=Промышленный интернет}}</ref> The system predicts probable incidents due to early detection of defects, i.e. 2–3 months before they affect the equipment operability.<ref>{{Cite web|url=https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/|title=Промышленный интернет для черного ящика|website=stimul.online|access-date=2021-07-29}}</ref><ref>{{Cite web|lang=ru|url=https://www.vedomosti.ru/business/articles/2020/06/04/831946-katastrofi-mozhno-bilo-izbezhat|title=Катастрофы в Норильске можно было избежать|website=Ведомости|access-date=2021-07-09}}</ref><ref name="автоссылка2">{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr|title=Система прогностики «Прана» включена в Реестр отечественного ПО|website=CNews.ru|access-date=2021-07-09}}</ref>

It has been registered with the Unified Register of Russian Software<ref>{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr|title=Система прогностики «Прана» включена в Реестр отечественного ПО|website=CNews.ru|access-date=2021-07-29}}</ref> and the [[US Copyright Office]].<ref>{{Cite web|url=https://www.eprussia.ru/epr/378/4585190.htm|title=Единственная в России Система предиктивной аналитики ПРАНА успешно внедряется на энергообъектах|website=www.eprussia.ru|access-date=2021-07-29}}</ref>

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PRANA has a two-level structure. The lower level receives data coming from the facility’s APCS or other data recorders. Thereafter, the data are securely transmitted to the upper level to the remote DC (data center) of the Situational Center where they are being accumulated and mathematically processed.<ref name="автоссылка4">{{Cite web|lang=ru|url=https://jcement.ru/magazine/vypusk-1-2021/perspektivy-ispolzovaniya-sistemy-prediktivnoy-diagnostiki-v-tsementnoy-promyshlennosti/|title=Перспективы использования системы предиктивной диагностики в цементной промышленности|website=JCement.ru|access-date=2021-07-29}}</ref> Upon detection of any changes in the technical condition, the system gives an appropriate warning thereof in the event log. These data are stored throughout the entire life cycle of the facility.<ref name=":2" /> The system is capable to analyze 30 thousand parameters per second.<ref name="автоссылка1" /> while the archive containing the data processed by PRANA exceeds 50 TB.<ref>{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2021-02-08_sistema_prediktivnoj_analitiki|title=Система предиктивной аналитики «ПРАНА» переходит на СУБД «Яндекс ClickHouse»|website=CNews.ru|access-date=2021-07-29}}</ref>

The system’s mathematical tool is grounded on similarity-based modeling methods. The system generates a reference digital pattern, i.e. a set of the facility’s mathematical models which describes the error-free behavior of equipment in various modes of operation. To build it, the ideology of the Hotelling T2 Control Charts is used. The model value is calculated by means of the state matrix and using the similarity operator for each measured value. The residual and standard deviation are calculated using the difference between the reference and actually measured values for each parameter. Residuals are normalized and the integral criterion of technical condition T2 is calculated on an aggregate basis. Owing to analyzing the T2 criterion, changes in the technical condition of equipment are predicted and all possible dependences of parameters are monitored.<ref name='jcement'>https://jcement.ru/magazine/vypusk-1-2021/perspektivy-ispolzovaniya-sistemy-prediktivnoy-diagnostiki-v-tsementnoy-promyshlennosti/</ref>

The system’s mathematical tool is grounded on similarity-based modeling methods. The system generates a reference digital pattern, i.e. a set of the facility’s mathematical models which describes the error-free behavior of equipment in various modes of operation. To build it, the ideology of the Hotelling T2 Control Charts is used. The model value is calculated by means of the state matrix and using the similarity operator for each measured value. The residual and standard deviation are calculated using the difference between the reference and actually measured values for each parameter. Residuals are normalized and the integral criterion of technical condition T2 is calculated on an aggregate basis. Owing to analyzing the T2 criterion, changes in the technical condition of equipment are predicted and all possible dependences of parameters are monitored.<ref name='jcement'>{{Cite web|lang=ru|url=https://jcement.ru/magazine/vypusk-1-2021/perspektivy-ispolzovaniya-sistemy-prediktivnoy-diagnostiki-v-tsementnoy-promyshlennosti/|title=Перспективы использования системы предиктивной диагностики в цементной промышленности}}</ref>

PRANA identifies and ranks the contribution of each technological parameter along with predicting the parameters’ going beyond their technological limits.<ref name="автоссылка4" /> As soon as the system has accumulated and analyzed the statistics, it becomes possible to generate rules for the automatic detection of faulty units and components.<ref name=":1" /><ref name="автоссылка2" /><ref name="erp" />

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 {{Cleanup bare URLs|date=August 2021}}
-'''PRANA''' is the first Russia’s predictive analytics and remote monitoring IIoT system. It was developed by ROTEC JSC under the supervision of  M.V. [[Lifshitz]], Chairman of the Board of Directors of the company.<ref name="автоссылка3">{{Cite web|url=https://www.eprussia.ru/news/base/2019/3196596.htm|title=«РОТЕК» внедрит систему предиктивной аналитики на объектах «Россети»|website=www.eprussia.ru|access-date=2021-07-09}}</ref><ref>{{Cite journal |author =  |editor=  |format= |url= https://www.kommersant.ru/speaker/3618/biography/old |title= Михаил Лифшиц |type=  |orig-year= | agency =  |edition= Коммерсантъ  |location=  |date=   |year=  |publisher=  |at=  |volume=  |issue=  |number= |pages =  |page=  |series=  |isbn =  |issn =  |doi =  |bibcode =  |arxiv =  |pmid =  |ref=  |archive-url =  |archive-date =  |language=  |quote=  }}</ref><ref>https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/</ref><ref>https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr</ref>
+'''PRANA''' is the first Russia’s predictive analytics and remote monitoring IIoT system. It was developed by ROTEC JSC under the supervision of  M.V. [[Lifshitz]], Chairman of the Board of Directors of the company.<ref name="автоссылка3">{{Cite web|url=https://www.eprussia.ru/news/base/2019/3196596.htm|title=«РОТЕК» внедрит систему предиктивной аналитики на объектах «Россети»|website=www.eprussia.ru|access-date=2021-07-09}}</ref><ref>{{Cite journal |author =  |editor=  |format= |url= https://www.kommersant.ru/speaker/3618/biography/old |title= Михаил Лифшиц |type=  |orig-year= | agency =  |edition= Коммерсантъ  |location=  |date=   |year=  |publisher=  |at=  |volume=  |issue=  |number= |pages =  |page=  |series=  |isbn =  |issn =  |doi =  |bibcode =  |arxiv =  |pmid =  |ref=  |archive-url =  |archive-date =  |language=  |quote=  }}</ref><ref>{{Cite web|lang=ru|url=https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/|title=Промышленный интернет для черного ящика}}</ref><ref>{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr|title=Система прогностики «Прана» включена в Реестр отечественного ПО}}</ref>
-The system’s name “PRANA” originated from the combination of words “PRedictive ANAlytics”.<ref>https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/
+The system’s name “PRANA” originated from the combination of words “PRedictive ANAlytics”.<ref>{{Cite web|lang=ru|url=https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/
-https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/</ref> The system predicts probable incidents due to early detection of defects, i.e. 2–3 months before they affect the equipment operability.<ref>{{Cite web|url=https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/|title=Промышленный интернет для черного ящика|website=stimul.online|access-date=2021-07-29}}</ref><ref>{{Cite web|lang=ru|url=https://www.vedomosti.ru/business/articles/2020/06/04/831946-katastrofi-mozhno-bilo-izbezhat|title=Катастрофы в Норильске можно было избежать|website=Ведомости|access-date=2021-07-09}}</ref><ref name="автоссылка2">{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr|title=Система прогностики «Прана» включена в Реестр отечественного ПО|website=CNews.ru|access-date=2021-07-09}}</ref>
+https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/|title=Промышленный интернет}}</ref> The system predicts probable incidents due to early detection of defects, i.e. 2–3 months before they affect the equipment operability.<ref>{{Cite web|url=https://stimul.online/articles/innovatsii/promyshlennyy-internet-dlya-chernogo-yashchika-/|title=Промышленный интернет для черного ящика|website=stimul.online|access-date=2021-07-29}}</ref><ref>{{Cite web|lang=ru|url=https://www.vedomosti.ru/business/articles/2020/06/04/831946-katastrofi-mozhno-bilo-izbezhat|title=Катастрофы в Норильске можно было избежать|website=Ведомости|access-date=2021-07-09}}</ref><ref name="автоссылка2">{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr|title=Система прогностики «Прана» включена в Реестр отечественного ПО|website=CNews.ru|access-date=2021-07-09}}</ref>
 It has been registered with the Unified Register of Russian Software<ref>{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2017-04-03_sistema_prognostiki_prana_vklyuchena_v_reestr|title=Система прогностики «Прана» включена в Реестр отечественного ПО|website=CNews.ru|access-date=2021-07-29}}</ref> and the [[US Copyright Office]].<ref>{{Cite web|url=https://www.eprussia.ru/epr/378/4585190.htm|title=Единственная в России Система предиктивной аналитики ПРАНА успешно внедряется на энергообъектах|website=www.eprussia.ru|access-date=2021-07-29}}</ref>
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 PRANA has a two-level structure. The lower level receives data coming from the facility’s APCS or other data recorders. Thereafter, the data are securely transmitted to the upper level to the remote DC (data center) of the Situational Center where they are being accumulated and mathematically processed.<ref name="автоссылка4">{{Cite web|lang=ru|url=https://jcement.ru/magazine/vypusk-1-2021/perspektivy-ispolzovaniya-sistemy-prediktivnoy-diagnostiki-v-tsementnoy-promyshlennosti/|title=Перспективы использования системы предиктивной диагностики в цементной промышленности|website=JCement.ru|access-date=2021-07-29}}</ref> Upon detection of any changes in the technical condition, the system gives an appropriate warning thereof in the event log. These data are stored throughout the entire life cycle of the facility.<ref name=":2" /> The system is capable to analyze 30 thousand parameters per second.<ref name="автоссылка1" /> while the archive containing the data processed by PRANA exceeds 50 TB.<ref>{{Cite web|lang=ru|url=https://www.cnews.ru/news/line/2021-02-08_sistema_prediktivnoj_analitiki|title=Система предиктивной аналитики «ПРАНА» переходит на СУБД «Яндекс ClickHouse»|website=CNews.ru|access-date=2021-07-29}}</ref>
-The system’s mathematical tool is grounded on similarity-based modeling methods. The system generates a reference digital pattern, i.e. a set of the facility’s mathematical models which describes the error-free behavior of equipment in various modes of operation. To build it, the ideology of the Hotelling T2 Control Charts is used. The model value is calculated by means of the state matrix and using the similarity operator for each measured value. The residual and standard deviation are calculated using the difference between the reference and actually measured values for each parameter. Residuals are normalized and the integral criterion of technical condition T2 is calculated on an aggregate basis. Owing to analyzing the T2 criterion, changes in the technical condition of equipment are predicted and all possible dependences of parameters are monitored.<ref name='jcement'>https://jcement.ru/magazine/vypusk-1-2021/perspektivy-ispolzovaniya-sistemy-prediktivnoy-diagnostiki-v-tsementnoy-promyshlennosti/</ref>
+The system’s mathematical tool is grounded on similarity-based modeling methods. The system generates a reference digital pattern, i.e. a set of the facility’s mathematical models which describes the error-free behavior of equipment in various modes of operation. To build it, the ideology of the Hotelling T2 Control Charts is used. The model value is calculated by means of the state matrix and using the similarity operator for each measured value. The residual and standard deviation are calculated using the difference between the reference and actually measured values for each parameter. Residuals are normalized and the integral criterion of technical condition T2 is calculated on an aggregate basis. Owing to analyzing the T2 criterion, changes in the technical condition of equipment are predicted and all possible dependences of parameters are monitored.<ref name='jcement'>{{Cite web|lang=ru|url=https://jcement.ru/magazine/vypusk-1-2021/perspektivy-ispolzovaniya-sistemy-prediktivnoy-diagnostiki-v-tsementnoy-promyshlennosti/|title=Перспективы использования системы предиктивной диагностики в цементной промышленности}}</ref>
 PRANA identifies and ranks the contribution of each technological parameter along with predicting the parameters’ going beyond their technological limits.<ref name="автоссылка4" /> As soon as the system has accumulated and analyzed the statistics, it becomes possible to generate rules for the automatic detection of faulty units and components.<ref name=":1" /><ref name="автоссылка2" /><ref name="erp" />

PRANA (system): Difference between revisions

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