Saprun and CyberPhysics launch domestic predictive analytics for CHP

2023: Assuring the creation of a predictive analytics and predictive system

Consulting SAPRAN On June 20, 2023, the company announced the completion of a project to create a system predictive analytics and prognostics in PJSC "." T Plus The solution was implemented on the basis ZIIoT of the company's platform "" with Zyfra a domestic analytical core. CyberPhysics For further online connection, 2.3 thousand models of T Plus units and more than 600 technological mnemonic circuits were created to monitor the technical condition of the CHPP equipment.

A system based on the principles of hybrid modeling - a combination of elements of artificial intelligence and physical modeling of processes - allows you to multiply reduce the labor intensity of the work of diagnostics and linear personnel of the thermal power plant when detecting certain defects in comparison with previously used monitoring systems. The influence of the human factor is minimized.

In 2023, the system will be connected to 10 TPPs that have developed. APCS Further, it is planned to replicate it for the remaining 32 stations of PJSC T Plus in 2024-26: gas steam turbines, boilers, booster compressors, as well as transformers will be connected. The first station to introduce a new predictive analytics system was the Academic CHP (g.). Yekaterinburg I must say that the system is operated directly by the personnel of PJSC T Plus, where a diagnostic center was created. outside Transport information corporate transmission networks is not data carried out.

The modern technological product meets the requirements of GOST R ISO 13381-1-2016 and has a built-in automatic defect classifier. In addition, according to the ZIIoT object model, there is the possibility of end-to-end automation of operations, repairs and warehouse activities.