The use of artificial intelligence (AI) in the safety of installations in explosive atmospheres is an increasingly relevant and innovate.
What is Artificial Intelligence?
Emerging as a highly discussed topic in recent times, artificial intelligence is a field of computer science dedicated to the study and development of machines and computer programs capable of replicating human behavior in decision-making and task execution, from the simplest to the most complex.
Artificial Intelligence in Industry
Its use in industrial environments is gaining increasing prominence, as it allows for deeper studies and even the prediction of failures through analysis and pattern recognition of the facilities and environments to which it will be subjected.
Preventing Explosions with Artificial Intelligence
Moving towards the aspect of safety in installations in explosive atmospheres, it has become increasingly common to see equipment embedded with some form of artificial intelligence for monitoring. For instance, drones equipped with intelligent cameras are capable of identifying gas leaks or even incipient failures and immediately indicating or acting according to pre-programmed procedures.
For this reason, we will list the main approaches of AI in explosive risk environments. But before that, it’s worth remembering that explosive atmospheres are environments where the mixture of flammable substances with air can lead to explosions or fires. These areas are common in industries such as petrochemicals, refineries, mining, food production, and others involving volatile substances.
Primary Approaches in Explosive Atmospheres
The use of artificial intelligence (AI) in the safety of installations in explosive atmospheres is an increasingly relevant and innovative application. It plays a crucial role in the prevention and mitigation of risks in these installations through various approaches and technologies, as exemplified by the following topics:
Real-Time Monitoring:
Connected sensors and monitoring devices can collect data on gas concentrations, temperature, pressure, and other relevant parameters. AI can analyze this data in real-time, detecting changes or anomalies that may indicate a potential explosion threat.
Predictive Analysis:
Based on historical and real-time data, AI algorithms can develop predictive models to identify patterns and trends that precede hazardous situations. This enables intervention before conditions reach critical levels.
Alert Systems:
AI can trigger automatic alerts when it identifies dangerous conditions. These alerts can be sent to operators, supervisors, or centralized control systems, enabling a rapid and effective response.
Predictive Maintenance:
AI can help optimize maintenance schedules by analyzing sensor data and other sources to predict when critical equipment will require maintenance. This helps prevent unexpected failures that could lead to explosion risks.
Computer Vision and Pattern Recognition:
Cameras and computer vision systems can be used to detect subtle changes in the appearance of equipment or sensitive areas. AI can identify visual patterns indicating leaks, overheating, or other issues.
Autonomous Decision-Making:
In critical situations, AI can be programmed to make autonomous decisions, such as activating explosion suppression systems, shutting down equipment, or evacuating areas.
Simulations and Modeling:
AI can also be used to create complex computational simulations that provide a better understanding of how different factors interact in an explosive environment. This allows testing scenarios and mitigation strategies before implementing them physically.
Human Operators and AI
Like any other system, AI can be susceptible to failures. Therefore, it is extremely important to have careful development, validation, and testing when implementing artificial intelligence in an explosive environment, as failures can lead to catastrophic consequences.
Moreover, the interaction between AI and human operators must be well designed to ensure effective collaboration in emergency situations, following protocols, procedures, and standards that regulate Explosive Atmospheres.
How Can Comquality Engenharia Help Your Company?
Comquality Engenharia is the first company in the North-Northeast region and the third in Brazil to be certified in the technical competence of ABNT NBR IEC 60079-17. This certification demonstrates our ability to carry out inspection and maintenance of electrical equipment and installations in hazardous areas.
We have a specialized team dedicated to delivering optimized solutions in Explosive Atmospheres and Area Classification. Additionally, our professionals hold personal certifications recommended by IECEx, ensuring the quality of our service delivery.
Do you need assistance with inspecting and maintaining your company’s installations in explosive atmospheres? Get in touch!
📩 comercial@comquality.com.br
📞 71 3622-1255
🌎 www.comquality.com.br