In modern energy and industry, personnel safety directly depends on the quality of work organization. Denis Vashchenko, Head of the HSE Department at CHPP-2 of NTEK JSC, shares his experience in implementing a comprehensive access control system. The speaker explains how analyzing injury statistics led the company to realize that most incidents, including electric shocks and falls from height, occur due to flaws in work organization, particularly poor-quality pre-shift access and formal briefings.
To solve the problem of a formal approach to access, the company developed a multi-level system. The presentation details the first stage — "demonstration access". Experts (managers and HSE specialists) are personally present at the worksites as observers. This allows not only recording errors without immediate punishment but also building trusting relationships with personnel, breaking down the barrier between workers and regulatory bodies.
The next step was the implementation of continuous video recording. Using mobile video recorders as an example, the speaker shows how continuous recording of the access process — from checking PPE to verbal risk assessment — changes the attitude of managers and workers towards the procedure. Video materials are analyzed daily, and identified errors are discussed at commission meetings, ensuring constant feedback.
Understanding the limitations of manual video analysis, the company is testing remote control systems with automatic data upload to the server when the recorder is placed in the docking station. This eliminates the possibility of intentional recording interruption. The plans include implementing stationary neural network video analytics complexes. Such a system will be able to monitor the use of PPE (helmets, goggles, heat-resistant balaclavas), the correctness of personnel actions, and even vehicle speed limits in real time, instantly signaling violations.
An important part of the case is the economic justification. The costs of equipping teams with video recorders (about 25,000 rubles per unit) and implementing neural network analytics (about 5 million rubles per facility) are incomparable to the potential losses from accidents. A one-time payment to an injured person can amount to 3.5 million rubles, and equipment downtime due to an incident costs millions of rubles daily.