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Extractive industry
10:29, 26 March 2026
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Closed-Loop Digital Control

Tsifra Group reported the deployment of a comprehensive Mining MES solution at a non-ferrous metallurgy mining and processing plant in Armenia. This marks the site’s first experience in building a unified digital control loop across the full production cycle.

The integrated system includes Tsifra.Career (Tsifra.Career – open-pit mining management system), the ZIIoT platform, and Tsifra.Konstruktor MES (Tsifra.Konstruktor MES – manufacturing execution system builder). The solution manages 153 units of equipment and monitors more than 18,000 process parameters. It is integrated with nine systems, including specialized software for laboratory automation and process control, truck weighing systems, and automated process control systems.

Solution Builder

The deployment signals a shift toward end-to-end control of ore flow and production in real time. For the mining sector, this represents one of the most mature levels of digitalization – where mining, crushing, beneficiation, and shipment are no longer siloed operations but part of a single coordinated process.

For Tsifra Group itself, the project serves as a showcase. Russian industrial software is proving its ability to operate effectively at a large international site – a reference case that could support further IT exports.

The company also emphasizes that Mining MES is built on an import-independent stack – meaning its hardware platform, system software, core applications, user software, and cybersecurity tools are all domestically developed. The system is designed for high availability. The ZIIoT platform included in the project received the highest level of technology readiness certification under national standards in 2025.

Project Details

Tsifra.Career evaluates ore quality parameters at the excavation stage. At the same time, a unified information space is created for operational management – including reports, dashboards, and analytical tools for both management and production teams.

Full traceability is ensured through control of every production stage: the system tracks each tonne of finished concentrate from a specific mining face to its delivery to the processing plant. The deployment of Tsifra.Career reduces the need for manual operational processes. In particular, without expanding the equipment fleet, the potential volume of material haulage has increased by up to 25% – driven solely by improved utilization of existing assets. Unplanned downtime has been cut nearly in half, while fuel consumption has decreased by 10%.

Importantly, the functionality of Mining MES will be further expanded and refined through the introduction of material balance systems and predictive analytics tools. Next steps include deploying modules for automated control of the mining and haulage complex, including tire pressure analytics, road quality monitoring, a 360-degree visibility system, and a Smart Bucket solution for monitoring tooth wear and analyzing particle size distribution.

About the Partner Enterprise

Tsifra Group deployed the Mining MES solution at the Zangezur Copper-Molybdenum Combine (ZCMC), one of the largest mining enterprises in Armenia and among the world’s top ten molybdenum producers. The site is located 350 km from Yerevan. Its output is used in electrical engineering, solar panels, wind power generation, electricity transmission, electric motors, and household appliances. The plant’s ore reserves are estimated to last approximately 150 years. As of 2025, ZCMC processed 22.674 million tonnes of ore annually.

The enterprise continues to develop, including plans to transition to alternative energy sources such as solar, wind, and hydropower. This is expected to reduce energy consumption and improve production efficiency.

The site operates an open-pit polymetallic ore deposit, while tailings are transported for storage over distances exceeding 30 km with an elevation difference of more than 1,000 meters. This creates additional demands on process management and safety systems.

Before the project began, production management at the plant was fragmented and largely manual. Plans for material haulage were sent by email, equipment allocation was handled manually, there was no accurate data on truck utilization, location, or ore quality, and reporting and production accounting were also manual processes – the link between the mine and the processing plant remained fragmented. The goal of the project was therefore to create a unified digital loop connecting mining and processing operations. As a result, the enterprise now has full visibility of ore flow. Management receives a reliable, real-time picture of production and can make decisions based on objective data
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