PRANA: Predictive Analytics and Remote Monitoring System

Early detection of defects not only helps to avoid accidents, but also to plan in advance the purchase of spare parts, streamline logistics, and reduce the inventory.

Monitor personnel and equipment

Assess the quality of work performed by personnel and contractors, monitor compliance with the terms and rules for operating equipment. Plan your costs and capacity utilization in real time.

Identify the causes of accidents

By analyzing historical data you can identify the causes of an incident and assess whether the actions taken by personnel and the behavior of equipment were correct.

Industry Solutions

Energetics

Gas turbines
Steam turbines
Gas compressor booster stations
Generators
Transformers
Boilers
Gas piston machines
Pumps
Water treatment system

Industry Solutions

Chemical Industry

Oil exchange columns
Agitators
Dynamic mixers
Pumps
Transformers
Compressors
Fans

Industry Solutions

Oil and Gas Industry

Pressure vessels
Heat exchangers
Coke chambers
Reactors
Pipelines
Spherical tanks
Vertical steel tanks

Industry Solutions

Metallurgy

Industry Solutions

Communal Service

Industry Solutions

Mining

Industry Solutions

Water Supply

The system's operating principles

PRANA is based on the Multivariate State Estimation Technique (MSET).

An equipment model is created and configured using historical data. Behavioral abnormalities are detected using a single integrated T² criterion and parameter imbalances, which are ranked automatically based on their contribution to the abnormalities. This approach has been developed specifically for monitoring equipment at nuclear power plants, where the reliability of equipment is considered to be the highest priority.

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The MSET (Multivariate State Estimation Technique) core is needed to create and play multidimensional models of the equipment state.

Playing models based on actual operational data makes it possible to identify deviating parameters in the operation of industrial equipment with extremely high sensitivity. This is the case even if they do not yet affect the state of the installation, which means they are not recorded by traditional control and monitoring systems.

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The Situation Monitoring Center provides 24/7 facility monitoring.

The dispatcher is alerted at the slightest deviation. The system automatically identifies the location and time of the incident.

Deviations are reported to the Expert Analysis Center, where the experts prepare their conclusion based on automatically generated recommendations for equipment maintenance.

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The ROTEC Situation Center provides remote monitoring and predictive analytics of industrial equipment.

The Center's team includes experts with many years of experience in both science and practical work in the area of vibration diagnostics and vibration adjustment, turbine, compressor, boiler, thermal and electrical equipment.

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Benefits

Approved by insurance companies

PRANA is used to investigate incidents in the Russian energy sector. A major Russian insurance company considers the use of PRANA when calculating its insurance rate.

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Rapid commissioning

Just one month is required to install the system on industrial equipment from most manufacturers without modification or additional configuration.

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Versatility of PRANA

PRANA uses versatile mathematical algorithms that support any type of equipment, including turbines, engines, compressors, pumps, boilers, etc.

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Largest archive of historical data

Largest archive of historical data among OEM-independent predictive analytics solutions.

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News

All news

14 November 2019

Digitalization of the power-grid complex: solutions or a predictive analytics and monitoring system

Electrical networks design and operation guidelines No. 3 (587) 2019

Author: Oleg Zakharov, chief specialist of the expert group of PRANA Predictive Analytics and Remote Monitoring System, ROTEC JSC

13 November 2019

Predict and Prevent instead of “Forgive and Forget”

How Russian IT solution made power plants failure-free

08 November 2019

Rosseti Introduces Predictive Analytics to the Power Grid Complex Operation

Public Joint-Stock Company Interregional Distribution Grid Company of Center and Volga Region (a subsidiary of PJSC Rosseti) and ROTEC JSC have signed an agreement on introducing the PRANA Predictive Analytics and Remote Monitoring System to increase the safety and reliability of power-grid equipment.

01 November 2019

PRANA System at the IOT Solutions World Congress in Barcelona (Spain): the Advantages of Predictive Analytics for Business

During the IOT Solutions World Congress, held in Barcelona (Spain) October 29–31, Maxim Lipatov, Technical Director of PRANA System, reported on the results of predictive analytics in planning the servicing of generating equipment, as well as on the technological features of digitalizing critical infrastructure facilities.

25 October 2019

The PRANA System Experience at Industrial Transformation ASIA-PACIFIC (ITAP-2019) – the Leading Technology Exhibition of the Asia-Pacific Region

ROTEC presented PRANA – a Predictive Analytics and Remote Monitoring System for industrial equipment at the largest technology exhibition of the Asia-Pacific Region called Industrial Transformation ASIA-PACIFIC (ITAP-2019), held in Singapore October 22–24.

01 July 2019

PRANA Predictive Analytics System will be able to calculate Technical and Economic Indicators for Industrial Facilities

Experts from the PRANA Predictive Analytics and Remote Monitoring System have started an alpha testing of a new software and data system capable of tracking and providing calculation of technical and economic indicators (TEI) for the connected facility in 24-hour automatic mode.

13 November 2018

New features of the PRANA prognostics system simplify working with big data

The state Register of computer programs includes the new program modules of the PRANA prognostic system. They are intended to emulate possible accidents and malfunctions, to automate technical reporting, and also to automatically update digital models after repair or service of the equipment.

26 October 2018

Gas turbines of the three major manufacturers have been connected to the PRANA prognostics system

ROTEC specialists successfully connected two Alstom GT13E2 gas turbines operated at Novogorkovskaya CHPP of PJSC T Plus to the PRANA prognostics system. The total capacity of the equipment is 360 MW. The PRANA mathematical model monitors and every second updates 344 operating parameters of the connected Alstom turbines.

29 August 2018

UTW turbines and PRANA prognostics system will ensure reliable operation of new digital power units of Kazan TPP-1

Two 230 MW combined-cycle power plants were commissioned at Kazan TPP-1 (Tatenergo, JSC). These are the Russia’s first power units initially connected to a Russian equipment-status prognostics system.

We work with

History

238 accidents

have been prevented
by PRANA continuous monitoring

3 500 000 hours

of equipment digital operating time
have been analyzed

2 500 tags

are processed every second
on each power-generating unit

All locations

{"markers":[{"latitude":"53.1114897","longitude":"49.92767260000005","title":"Novokuibyshevsk CHP-1","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Novokuibyshevsk, Samara region, Russia \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/novokuibyshevsk-chp-1\/\u0022\u003ENovokuibyshevsk CHP-1\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E3\u0026nbsp;gas turbines General Electric PG\u0026nbsp;6111\u0026nbsp;FA\u003C\/li\u003E\n\t\u003Cli\u003E3\u0026nbsp;heat recovery boilers, including water chemistry conditions, Belenergomash-BZEM LLC, KGT-119\/10-510-18\/0.8-210\u003C\/li\u003E\n\t\u003Cli\u003E3\u0026nbsp;gas booster compressors GEA Grasso GmbH, EGSI-S-470\/2600\u0026nbsp;WA\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/novokuibyshevsk-chp-1\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"53.0646752","longitude":"48.39881820000005","title":"Syzran CHP","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Syzran, Samara region, Russia \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/syzran-chp\/\u0022\u003ESyzran CHP\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas turbines General Electric PG\u0026nbsp;6111\u0026nbsp;FA\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;steam turbine Siemens SST-400\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;heat recovery boilers, including water chemistry conditions, IEG, Istroenergo Group, KUP-110\/15\u003C\/li\u003E\n\t\u003Cli\u003E3\u0026nbsp;gas booster compressors GEA Grasso GmbH, EGSI-S-350\/1600WA\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/syzran-chp\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"57.97477200000001","longitude":"56.259212400000024","title":"Perm CHP-6","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Perm Krai, Perm \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/perm-chp-6\/\u0022\u003EPerm CHP-6\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas turbines Siemens SGT-800\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;steam turbine Siemens SST-600\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;heat recovery boilers, including water chemistry conditions, HRSG BBS (Badcock Borsig Steinmuller CZ\u0026nbsp;sr.r.o.)\u003C\/li\u003E\n\t\u003Cli\u003E3\u0026nbsp;gas booster compressors Howden mk1as wrvihn 365\u0026nbsp;\u0026mdash; 19344\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/perm-chp-6\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"57.94427199999999","longitude":"56.12669499999993","title":"Perm CHP-9","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Perm Krai, Perm \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/perm-chp-9\/\u0022\u003EPerm CHP-9\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E1\u0026nbsp;gas turbine GTE-160 V94.2 v.7, Power Machines PJSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;heat-recovery boiler, including water chemistry conditions, TKZ Krasny Kotelshchik JSC EMA-019\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;gas booster compressor BORZIG T-Jet 70-4\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/perm-chp-9\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"56.14562489999999","longitude":"40.4537924","title":"Vladimir CHP-2","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Vladimir region, Vladimir \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/vladimir-chp-2\/\u0022\u003EVladimir CHP-2\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E1\u0026nbsp;gas turbine GTE-160 V94.2 V.7, Power Machines PJSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;steam turbine T-63\/76-8.8, UTW JSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;heat-recovery boiler, including water chemistry conditions, TKZ Krasny Kotelshchik JSC, EMA-031-KU (Е-236\/41-6.3\/1.5-521\/298)\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;gas booster compressor BORZIG T-Jet 70-4\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;gas booster compressor BORZIG T-Jet 45-3\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/vladimir-chp-2\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"56.8449321","longitude":"53.18129709999994","title":"Izhevsk CHP-1","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Republic of Udmurtia, Izhevsk \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/izhevsk-chp-1\/\u0022\u003EIzhevsk CHP-1\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E1\u0026nbsp;gas turbine GTE-160 V94.2 V.7, Power Machines PJSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;steam turbine T-63\/76-8.8, UTW JSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;heat-recovery boiler, including water chemistry conditions, EMAlliance JSC E-236\/40.5-520\/299-22.2vv\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas booster compressors BORZIG T-Jet 70-4\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/izhevsk-chp-1\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"58.5562294","longitude":"49.98258920000001","title":"Kirov CHP-3","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Kirov region, Kirovo-Chepetsk \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/kirov-chp-3\/\u0022\u003EKirov CHP-3\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E1\u0026nbsp;gas turbine GTE-160 V94.2 V.7, Power Machines PJSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;steam turbine T-63\/76-8.8, UTW JSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;heat-recovery boiler, including water chemistry conditions, EMAlliance JSC E-236\/40.2-9.15\/1.5-515\/298-19.3vv\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/kirov-chp-3\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"56.77259460000001","longitude":"60.55516290000003","title":"Akademicheskaya CHP","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Sverdlovsk region, Yekaterinburg \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/akademicheskaya-chp\/\u0022\u003EAkademicheskaya CHP\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E1\u0026nbsp;gas turbine Alstom GT13E2\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;steam turbine UTW JSC KT-63\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;heat-recovery boiler, including water chemistry conditions, Podolsk Machine-Building Plant JSC (ZiO JSC) E-208\/50.1-7.55\/1.19-467\/274\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas booster compressors Borsig ZM\u0026nbsp;Compression GmbH T-Jet 45-3\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/akademicheskaya-chp\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"56.10679990000001","longitude":"44.13534179999999","title":"Novogorkovskaya CHP","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Nizhny Novgorod Region, Kstovo \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/novogorkovskaya-chp\/\u0022\u003ENovogorkovskaya CHP\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas turbines Alstom GT13E2\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;heat recovery boilers, including water chemistry conditions, Podolsk Machine-Building Plant JSC (ZiO JSC) E-293\/40.2-14\/1.5-560\/294\u0026nbsp;D (PK-85)\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas booster compressors BORZIG T-Jet 70-4\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;transformer TDC-225000\/220 T11, Zaporozhtransformator PJSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;transformer TDC-225000\/110 Т12, Zaporozhtransformator PJSC\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;transformer TRDNS-25000\/15\u0026nbsp;UHL1 (TSN12) SVEL\u0026nbsp;\u0026mdash; Power Transformers Plant,\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;transformer TRDNS-25000\/15\u0026nbsp;UHL1 (TSN11) SVEL\u0026nbsp;\u0026mdash; Power Transformers Plant\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;transformer TRDN-25000\/110\u0026nbsp;UHL 1\u0026nbsp;(TSN (standby)) SVEL\u0026nbsp;\u0026mdash; Power Transformers Plant.\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/novogorkovskaya-chp\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"58.6141779","longitude":"59.85621470000001","title":"Nizhneturinskaya SDPP","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Sverdlovsk region, Nizhnyaya Tura \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/nizhneturinskaya-sdpp\/\u0022\u003ENizhneturinskaya SDPP\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas turbines Alstom GT13E2\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;steam turbines KT-63, UTW JSC\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;heat recovery boilers, including water chemistry conditions, Podolsk Machine-Building Plant JSC (ZiO JSC) E-204\/48.6-7.42\/1.19-467\/274 (PK-87)\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/nizhneturinskaya-sdpp\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"55.7616466","longitude":"49.12818070000003","title":"Kazan CHP-1","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Republic of Tatarstan, Kazan \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/kazan-chp-1\/\u0022\u003EKazan CHP-1\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas turbines General Electric PG6111FA\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;steam turbines UTW JSC, Kt-46-8.8\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;heat recovery boilers, EMAlliance JSC ED-160\/14-9.0\/0.7-525\/210\u003C\/li\u003E\n\t\u003Cli\u003E3\u0026nbsp;gas booster compressors, ATLAS Copco GT032T4D1\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/kazan-chp-1\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"},{"latitude":"55.91417910000001","longitude":"37.685980900000004","title":"CHP-27","popup_message":"\n \u003Cdiv class=\u0022integration-desc__place\u0022\u003E\n Russia, Moscow \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration-desc__title\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/chp-27\/\u0022\u003ECHP-27\u003C\/a\u003E\n \u003C\/div\u003E\n\n \u003Cdiv class=\u0022integration__content\u0022\u003E\n \u003Cdiv class=\u0022integration__title\u0022\u003EConnected to the system:\u003C\/div\u003E\n \u003Cul\u003E\n\t\u003Cli\u003E2\u0026nbsp;gas turbines LMZ JSC GTE-160\u003C\/li\u003E\n\t\u003Cli\u003E1\u0026nbsp;steam turbine LMZ JSC T-150-7.7\u003C\/li\u003E\n\t\u003Cli\u003E2\u0026nbsp;heat recovery boilers ZiO-Podolsk JSC P-107\u003C\/li\u003E\n\t\u003Cli\u003E5\u0026nbsp;gas booster compressors HAFI PCU-VMY-536aH\u003C\/li\u003E\n\u003C\/ul\u003E\n \u003C\/div\u003E\n\n \n \u003Cdiv class=\u0022integration-desc__link\u0022\u003E\n \u003Ca href=\u0022\/en\/implementations-list\/chp-27\/\u0022\u003E Read more \u003Csvg height=\u002211\u0022 width=\u00227\u0022 xmlns=\u0022http:\/\/www.w3.org\/2000\/svg\u0022\u003E\n \u003Cpath d=\u0022M4.626 5.498L-.007 9.839l1.182 1.148 4.632-4.34 1.181-1.149-1.181-1.149L1.175.01-.007 1.159l4.633 4.339z\u0022 fill=\u0022currentColor\u0022 fill-rule=\u0022evenodd\u0022\u003E\u003C\/path\u003E\n \u003C\/svg\u003E\n \u003C\/a\u003E\n \u003C\/div\u003E\n\n\u003Cdiv class=\u0022integration-desc__close js-desc-close\u0022\u003E\u0026nbsp;\u003C\/div\u003E\n"}],"mapSettings":{"clusterize":true,"iconMarkers":"\/files\/110\/obj-pin.png","iconCluster":"\/files\/110\/obj-pin0.png","center":{"lat":"57.19157942335469","lng":"35.633755788480144"},"zoom":"4","defaultCenterMap":{"lat":55.755814,"lng":37.617635,"zoom":10}}}

PRANA in the Media

All news

02 October 2018

Experts united in one network

Surprisingly, there was no existing specialized system for industrial experts to work remotely and in collaboration until now. Let's be honest - using e-mail to jointly search for defects in a gas turbine is as effective as hammering a nail with foam rubber. But the situation is changing.

Source: eprussia.ru

27 September 2018

Predictive analytics for power transformers

The natural desire of the owner of a technical facility, as a business unit, is to find out the minimum financial investment needed to ensure the equipment is in operable condition, and as a result, receive the maximum profit during operation of the facility. To do this, up-to-date and accurate information must be obtained on how the facility is operated.

Source: energyexpert.ru

24 May 2018

Industrial Internet for black box

Based on its own algorithms, ROTEC has developed a remote monitoring and prognostics system for power equipment. The main idea is not so much to track the operating parameters of a rotary machine - many manufacturers are able to do this - but to obtain an advance and accurate prediction of its future state

Source: stimul.online

02 February 2017

Interview with Mikhail Lifshitz: Predict to Prevent

PRANA is an innovative tool that helps prevent machinery related accidents. This new prognostic tool allows for timely response to faults and failures of various kinds of equipment thus increasing its reliability and maintainability.

Source: eprussia.ru

PRANA: Industry Standard of the Future

Economic effect generated by PRANA implementation: Cutting repair costs and reducing market fines by up to 60%

Reduce unscheduled shutdowns

Cut your repair costs

Monitor personnel and equipment

Identify the causes of accidents

PRANA is based on the Multivariate State Estimation Technique (MSET).

The MSET (Multivariate State Estimation Technique) core is needed to create and play multidimensional models of the equipment state.

The Situation Monitoring Center provides 24/7 facility monitoring.

The ROTEC Situation Center provides remote monitoring and predictive analytics of industrial equipment.

We work with