Modern personal and collective protective equipment (PPE). A systematic approach to selecting and implementing PPE ensuring both reliable protection and comfort. Includes cases on risk-oriented issuance norms, dermatological PPE testing, and automating storage processes.
Integration of disconnected mobile and desktop occupational safety applications into a unified electronic risk register. Implementation of root cause analysis functionality and automatic selection of additional PPE based on identified occupational risks.
Most workplace accidents can be avoided by complying with safety rules created to prevent hazards. The article explains the fundamental principles of worker protection — from risk assessment and equipment lockout to the use of PPE and a conscious attitude toward danger. The material shows how compliance with these rules helps eliminate chance occurrences and preserve life and health while performing work.
A comprehensive approach to reducing risks when working at height, including organizing a ladder testing area, implementing anchor systems, and creating a training ground. The practice aims to eliminate the use of faulty equipment, ensure continuous fall protection, and develop practical evacuation skills.
Optimization of the PPE provision system at an enterprise with over 4,000 employees. Implementation of a corporate workwear brand book, creation of a unified nomenclature in 1C, transition to unit-rate procurement with size ranges, and organization of incoming quality control.
Creation of an internal practice-oriented "Safety School" to train employees on production risks. The training includes a theoretical part on the 10 golden safety rules and practical exercises on specialized training stands (electrical safety, LOTO, forklift blind spots, PPE, ergonomics, working with chemicals).
Implementation of the "PPE Service" mobile app to automate employee personal protective equipment provision. The app integrates with SAP ERP HR and accounting, providing employees with a personal account to track standards, replacement dates, and feedback, while offering managers a real-time team provision monitoring tool.
Development and implementation of a video analytics system based on the open-source MoonDream model by the company's internal specialists. The solution analyzes the real-time video stream from cameras, detects violations of PPE and sanitary clothing rules, as well as unauthorized actions with equipment, and automatically sends notifications to responsible persons via a Telegram bot.
Implementation of digital assistants and AI-based systems to monitor driver alertness, ensure safety compliance in electrical installations, and prevent unauthorized riding on conveyors. Integration of aerogas control data to automatically detect discrepancies and record methane concentration exceedances.
Creating specialized AI assistants to automate routine tasks for an HSE specialist. The practice includes developing HSE instructions, selecting PPE issuance standards based on structured knowledge bases, and generating educational animated videos.
Integration of the performance management system (Kaizen, lean production) and the HSE management system through the creation of joint project offices. Implementation of improvement projects that simultaneously increase production efficiency and safety levels (e.g., video monitoring, ventilation modernization, ACS implementation).
Weekly personal participation of the top executive as an HSE specialist on the production site. The practice includes direct communication with workers, prompt resolution of household and production issues, implementation of QR codes for hazard reporting, and gamification through the "Safe Shop" competition.
A comprehensive approach to developing a safety culture at a mining enterprise, based on critical risk analysis and multi-level barriers. The practice includes digitalizing feedback via QR codes, using technical protection means (directional light systems, driver monitoring, voltage indicators), and engaging personnel through training and motivation.