Industrial IoT solution for diagnostics and predictive analytics of industrial equipment to improve equipment performance and cut operating costs.
PRANA identifies defects long before they lead to failure. All necessary repairs are carried out during scheduled shutdowns.
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.
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.
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.
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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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 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 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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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.
Just one month is required to install the system on industrial equipment from most manufacturers without modification or additional configuration.
PRANA uses versatile mathematical algorithms that support any type of equipment, including turbines, engines, compressors, pumps, boilers, etc.
Largest archive of historical data among OEM-independent predictive analytics solutions.
The Internet of Things (IoT) integrates devices into a computer network and allows them to collect, analyze, process and transmit data to other facilities via software, applications or technical devices
As of 2021, the PRANA hardware-software package is the first of the industrial systems for predictive analytics and remote monitoring to switch to the Russian analytical database management system Yandex ClickHouse.
Monitoring-and-diagnostics data (M&D) form the basis for determining the technical condition of high-voltage equipment and developing repair schedules for such equipment. World experience shows that from the economic standpoint, it is expedient to carry out such monitoring using the remote online monitoring of facilities. In this case, all generator assemblies can be monitored online. At present, the corresponding measuring base has been created for each component of a modern generator, which makes it possible to equip generators with sensors and systems for monitoring and diagnostics in any variation and package (in terms of control).
Predictive analytics and online IIoT surveillance systems respond to modern challenges
The introduction of a self-isolation regime, along with measures to prevent the rapid spread of coronavirus infection, has affected many businesses, and has brought some to a complete halt. However, IIoT solutions have revealed new opportunities for responding to the changing situation. The PRANA hardware and software complex has made it possible to minimize the negative consequences of the ongoing situation.
With the spread of the coronavirus epidemic, many employers are moving their employees to remote work. Those who are not yet ready for this move must comply with government instructions, which include cancelling mass gatherings and monitoring the health of employees. Top managers and owners of Russian companies tell us how they are managing to go on working in these new conditions without reducing the efficiency of their processes.
Almost three years ago, when the term “digitalization” was still perceived as a neologism in the Russian business lexicon, and the mass introduction of digital services, mainly imported ones, was just beginning in our domestic industry, the ROTEC JSC advancement – the Predictive Analytics and Remote Monitoring System PRANA – was registered in the Unified Register of Russian Programs.
Mikhail Lifshitz, Chairman of the Board of Directors of ROTEC, explains why he is against solar power plants, considers the real need for the in-house manufacture of high-capacity gas turbines in Russia, and points out the mistake of Elon Musk.
Russia’s Rotec and Germany-based Siemens have signed a cooperation agreement to build a unified information environment in the energy sector. The document was signed by Ivan Panasyuk, general director of Rotec JSC, and Zhanna Shalygina, director of Siemens Digital Industries in Russia.