#Innovation
Innovative tools redefining OHS. Covers interactive visualization of invisible electrical threats, intelligent video analytics, and behavioral auditing via daily corporate messengers.
Safety Compass: How AI is Changing the DNA of HSE
Using generative neural networks and low-code platforms (Replit, Bolt) to automate routine tasks for HSE specialists. The "Health Compass" system was developed to monitor epidemiological risks for traveling employees, along with dashboard prototypes for incident forecasting and categorization.
Artificial Intelligence: A New Benchmark in HSE
The article is dedicated to the application of artificial intelligence, chat models, and low-code platforms in the field of occupational health and safety to transition from administrative reporting to risk forecasting and management. The material explains how digital tools accelerate the development of solutions and reduce the volume of routine operations, not replacing the specialist, but enhancing their expert role. The author also examines the practical stages of implementing no-code applica...
Safety as a Standard: How Implementing the LOTO System Shapes a New Production Culture
The article is devoted to the implementation of a pilot project for the introduction of the Lockout/Tagout (LOTO) system in 2024 for safe equipment maintenance. It describes the five main stages of implementing a standardized protocol for the physical lockout of energy sources — from hazard identification and purchasing lockout devices to personnel training. The material shows how successful experience in applying LOTO transforms production culture and why this practice is currently being scaled...
Cognitive Biases in Risk Assessment: How an AI Assistant Helps See Hazards Objectively
Traditional risk assessment methods in enterprises often fail to prevent injuries due to cognitive biases and template thinking of specialists. An experiment showed that an AI assistant trained on injury statistics and investigation materials is capable of objectively analyzing occupational health and safety instructions and proposing specific actions instead of formal phrases. The use of such technologies helps compensate for the peculiarities of human thinking by providing accurate data to foc...
AI and Video Analytics in HSE: From Idea to In-House Launch
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.
AI Assistant in HSE: How to Implement and Use in Practice
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.
"Safety Pill" — Engaging Workers in Risk Analysis Through AI Workplace Visualizations
Engaging workers in occupational risk analysis using personalized workplace images generated by artificial intelligence (Leonardo neural network). The method involves holding short 15-minute meetings in workshops where employees look for intentionally embedded violations in pictures, and then propose their own hazard scenarios via QR forms for generating new images.
Three Myths About Artificial Intelligence
The article examines common myths that become the main obstacle when implementing artificial intelligence into workflows. The author explains that a neural network does not replace a human, but enhances a specialist if tasks are formulated correctly, the tool is customized to one's needs, and one possesses deep professional knowledge. Analyzing these misconceptions helps form realistic expectations of AI and learn to delegate routine tasks to algorithms.
Implementation of Digital Technologies in the Safety Compliance Control Process at ZARUBEZHNEFT-Dobycha Kharyaga LLC
The article examines the experience and plans of LLC Zarubezhneft-Dobycha Kharyaga regarding the implementation of video analytics systems and unmanned technologies for the early detection of operational risks. Based on the "Intellect" software platform, it is planned to deploy modules for monitoring the use of PPE, fire detection, and personnel behavior analysis, expanding facility coverage using UAVs and inspection robots. The implementation of these solutions will make it possible to transiti...
Prospects for Using Exoskeletons at ZARUBEZHNEFT-Dobycha Kharyaga LLC Facilities
The article examines the prospects of using industrial exoskeletons to protect warehouse workers at LLC Zarubezhneft-Dobycha Kharyaga from heavy physical loads during manual handling of goods. The author analyzes the key advantages of domestically produced passive models capable of reducing the load on the back and spine, as well as lowering the risk of developing occupational diseases. The review contains a comparative assessment of available solutions and evaluates the expected results of thei...
AI Transformation in HSE: Real Cases, Myths, and the New Role of Specialists
Implementing artificial intelligence in HSE processes across four levels: from using basic generative networks for document management to creating a unified AI safety management architecture. Practical applications include automating responses to prescriptions, dynamic risk assessment via Telegram bots, and deep root cause analysis of incidents with fault tree construction.
Pyrolysis – A Promising Technology in Ecology
Implementation of low-temperature pyrolysis technology for the disposal of carbon-containing waste (tires, oils, oil-containing materials) at remote construction sites. The project enabled on-site waste processing, the production of secondary resources (pyrolysis fuel, gas, ash-mineral residue), and a significant reduction in logistics costs and third-party contractor services.