The Technology Breakthrough programme was also implemented as part of these basic automation efforts. From 2020, the next phase of the programme, Technology Breakthrough 2.0, was launched to further develop digital operations.
All equipment data sheets and process sheets for the most critical equipment were collected and digitised.
A single mining database and 3D model of underground ore bodies were created, with all measured reserves fully digitised.
Currently, over 80% of all key processes are monitored in real time from control centres at the Company’s Polar Division and Kola MMC.
A metal balance prepared based on real-time data enables insights into metal-bearing products at each production stage.
All energy consumption is also now metered online for billing purposes. The single process data warehouse collates over 100,000 parameters for all enterprises.
Mining plans are checked for feasibility in a simulation modelling system.
Digital transformation is ongoing. Through this journey, we will build highly effective and agile digital operations with advanced business processes.
In 2020, Nornickel also moved to the second phase of its IT strategy: advanced automation projects. Nornickel is already rolling out Industry 4.0 innovations across its operations and business activities.
The unified management system already enables interactions between more than 17,000 users.
Self-sustaining initiatives for advanced automation with digital elements are implemented under the SAP 2.0 development programme. Digital assistants, mobile solutions, and analytics tools are developed under the programme.
In 2019, Nornickel won the gold award in the Business Transformation category at SAP Quality Awards for EMEA.
A latest-generation data processing and storage platform with a number of advantages over incumbent architecture solutions.
The corporate data lake will help reinvent Nornickel’s consolidated data assets.
Kola MMC was selected as a pilot site to launch a data lake prototype. Five prototypes of business solutions were implemented as Tableau dashboards.
Machine learning was used to develop and test a number of systems to optimise concentration processes at Talnakh Concentrator.
The implemented algorithms provide real-time recommendations on ore milling and flotation. The process aims to increase metal recovery in concentrate.
Plans are in place to roll out the new approaches to other concentrators.
The number of users of the Corporate Automatic Document Management and Control System (CADMCS) grew to 23,000, with an average of 4,000 documents and 6,000 orders generated in CADMCS on a daily basis.
The Control, Management, Safety system captures 700 behavioural safety audits and issues over 30 work permits on a daily basis.
The HR management system covers 53 branches and legal entities across 12 cities. The system has 4,500 users while 22,000 employees are using self-service products.