Continuous facility monitoring with IoT & Machine Vision. The jump from episodic checks to automatic 24/7 anomaly radars. Neural networks spot missing PPE, red-zone trespassing, and gauge transport speed.
Implementation of a complex of digital systems in mining operations to monitor the condition of dump truck drivers and prevent collisions. Use of video analytics (OKO system) to detect falling asleep and distraction, as well as the integration of GPS trackers with ACS for personnel positioning and hazardous zone control.
Implementation of applied science climate projects jointly with a university, including greenhouse gas monitoring in peat bogs and the creation of an integral biodiversity map for safe infrastructure design. Implementation of an online equipment energy consumption monitoring system and infrared scanning to find methane leaks in order to reduce the carbon footprint.
A comprehensive approach to ensuring safety at open-pit mining enterprises, including risk-based thinking training, critical risk management, behavioral audits, and the implementation of digital monitoring systems (sensors, tags, Karyer system). The practice demonstrates the integration of technical solutions with data analysis to evaluate training effectiveness and interaction with production departments.
Comprehensive implementation of the climate agenda and circular economy principles in a large industrial holding. Introduction of CO2 capture and storage technologies, use of UAVs and AI for emissions and safety monitoring, and creation of a closed-loop recycling system for rubber products using pyrolysis.
Implementation of an AI and computer vision-based video analytics system for automatic control of HSE compliance. The solution recognizes correct PPE usage, personnel presence in dynamic hazardous areas, and uses Multimodal LLM for contextual incident analysis.
Implementation of a LoraWAN-based online control system for remote monitoring of workers in gas-hazardous areas. The system tracks MPC exceedances, personal gas detector battery levels, and employee immobility, transmitting signals to dispatch centers.
Creation and implementation of an automated HSE management platform for a company with over 32,000 employees. The platform includes a mobile app for recording risks and non-conformities, integration with corporate ERP systems, a gamification system for staff engagement, and interactive instructions for user training.
Implementation of the environmental strategy of JSC Russian Railways to achieve carbon neutrality by 2050. Introduction of an environmental monitoring system, development of renewable energy sources, installation of reverse vending machines for plastic collection, and industrial waste recycling.
Implementation of a lone worker monitoring and positioning system based on smartphones and BLE beacons. The platform monitors employee status in real time, detects falls and immobility, and allows sending an SOS signal for rapid response by medical and security services.
Transition from paper regulations to embedded digital risk management processes using Gazprom Neft as an example. Implementation of a four-level safety digitalization model: digital assistance, digital control, digital embedding, and digital replacement.
A project to reduce accident risks in gas distribution networks by eliminating unused equipment instead of mothballing it. Includes relocating gas control points outside production premises and implementing an automatic gas hazard monitoring system with SMS alerts.