24.09.25 (inclusive)

Payment within the framework of the agreement

Finished product

R&D Tasks

Extraction and processing of solid minerals

Other technological solutions

Software/ IS

At the moment, the Customer's mining and transportation equipment does not have an automated data collection system (ASD SCC), and the LTE network necessary for its operation is not deployed. This creates a number of significant limitations in the management of the mining complex and negatively affects the overall efficiency of the production process. The main problems are the lack of centralized monitoring and management: the inability to monitor the condition of machinery, equipment movement and production performance in real time reduces the efficiency of decision-making. Low transparency of processes: the lack of reliable and up-to-date data makes it difficult to monitor productivity, keep records, and identify inefficient areas of work. There are limited opportunities to optimize routes and equipment loading, which directly affects the productivity and cost of operations. Difficulties in detecting and preventing downtime and breakdowns due to the lack of real-time telemetry and diagnostics. The inability to implement digital solutions (including planning systems, predictive analytics, and KPI monitoring) that require a stable communication channel and centralized data processing. The lack of LTE infrastructure at the facility further exacerbates the situation, as it makes it impossible to implement high-speed and reliable communication between the equipment, the server part of the system and user workstations. Thus, the lack of a GTK ASD and an LTE network is a critical constraint on improving the efficiency, digitalization and safety of mining operations.

1. Improving production efficiency Reducing downtime of equipment and production lines. Optimization of production processes through automatic control. Improving the accuracy and stability of technological parameters. 2. Lower operating costs Reduction of the number of service personnel. Minimizing accidents, downtime, and fines. Reduced repair and maintenance costs thanks to predictive analytics. 3. Product quality improvement Automatic compliance with recipes, temperatures, pressures and other parameters. Reducing the influence of the human factor. 4. Increasing the level of industrial safety Real-time monitoring of dangerous areas. Automatic shutdown or switching to a safe state in case of deviation from the norm. 5. Increased manageability and transparency Centralized control over technological processes. Real-time monitoring of all stages of production and infrastructure. 6. Reliable and broadband connection High-speed data transfer between objects, sensors, servers and operators. The ability to work in real time without delay. 7. Support for mobility and remote control Control of mobile equipment (drones, mobile stations, transport). Connecting remote objects and territories (for example, quarries, drilling rigs, power lines). 8. Secure and fault-tolerant data transmission Enhanced interference resistance and data protection. The ability to deploy a closed corporate LTE network (private LTE). 9. Integration of IIoT (Industrial Internet of Things) Mass connection of sensors and devices for monitoring and analysis. Creating a digital twin of the production process.

Bekbayev Tolegen Galiuli