The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
Developers: | Crl2Go Solutions, Clover Group (formerly Clover Group) |
Date of the premiere of the system: | 2018/07/13 |
Branches: | Gas industry, Mining, Oil industry, Transport, Energy |
Technology: | BI, EAM, MES - Production and Repair Management |
Content |
Main articles:
SmartMaintenance (formerly Clover SmartMaintenance) - a risk-oriented system for managing equipment maintenance based artificial intelligence on various industries:,, transport power mining,. oilgas The solution is built on the company's own development platform. Ctrl2Go Solutions
2019: Inclusion in the Register of Domestic Software
SmartMaintenance is included in the Register of domestic software in accordance with the Order of the Ministry of Communications of Russia dated 18.06.2019 No. 335.
2018
Functions of the SmartMaintenance
System functions (as of October 2018):
- Collection and analysis of telemetry (signals from equipment sensors).
- Assessment and forecast of technical condition of units and units.
- Prioritization of "candidates" for repair based on the risk of complete failure and OPEX for maintenance and operation.
- Automatic (without human factor influence) generation of the necessary work plan for units and units.
- Automatic opening of work order in ERP/.EAM
Clover SmartMaintenance generates an optimized schedule of equipment repair based on the actual state of the equipment and specific fuel consumption. The system is based on an objective assessment of the actual and predicted technical condition of the equipment, which is provided by physical and mathematical models of equipment failures based on telemetry data.
One of the main functions of the system is automated quality control of repair execution (elimination of comments). Clover SmartMaintenance displays information about the work performed, records incidents that occurred after them, and gives them a high-quality assessment. This becomes a transparent and objective tool for management decisions. The implementation of the Clover SmartMaintenance solution allows industrial enterprises to optimize work planning, reduce operating costs and conduct an objective assessment of the quality of work performed after repairs.
Announcement of the SmartMaintenance
On July 13, 2018, Clover Group presented to the heads of Russian, international companies and government representatives an intelligent control room for managing repairs on a basis. AI
Intelligent technologies, such as predictive analytics and big data analysis, allow you to optimize enterprise business processes if the results are embedded in the decision chain. The Russian-designed dispatcher Clover Group is the next step in predictive analytics, it is a business decision for making decisions based on real undistorted data, "said Denis Kasimov, CEO of Clover Group. |
According to the representative of the Clover Group, the transformation of the repair system, the transition to repairs in actual condition is one of the tasks facing the real sector of the Russian economy. These prerequisites formed the basis for creating a comprehensive solution for transforming decision-making on equipment repairs using forecasting analytics technologies.
The intelligent control room builds an optimized schedule of repairs and maintenance, displays the quality of repair work performed, based on predicted data on the state of equipment units.
For data analysis, a set of mathematical models is used that simulates the work of a technologist, engineer. The program displays information about the equipment a few days before its repair. If the user needs to change parts or order a brigade, repair position, the program will inform him about this, "added Denis Kasimov, general director of the Clover Group. |