ATEX zones (ATmosphères EXplosibles) refer to industrial environments where explosive mixtures of gases, vapors, or dust may form. These zones are found in many sectors, including petrochemicals, food processing, pharmaceuticals, waste treatment, and metallurgy.
Understanding ATEX zones and their specific constraints
European regulations classify ATEX zones into three levels: Zone 0 / 20, where explosive atmospheres are present continuously or for long periods; Zone 1 / 21, where they occur occasionally; and Zone 2 / 22, where the risk is infrequent and short-lived. All mechanical or electrical equipment operating in these environments must be ATEX-certified according to specific standards, such as EN 60079, to prevent any potential ignition sources. Strict management of these zones is essential to ensure worker safety and comply with regulatory requirements.
What exactly is predictive maintenance?
Predictive maintenance is based on the continuous analysis of data collected by sensors installed on industrial equipment. These sensors monitor various parameters such as temperature, vibration, pressure, or energy consumption. The collected data is then analyzed using advanced algorithms to detect early signs of malfunction.
Unlike preventive maintenance, which follows fixed intervention schedules, predictive maintenance is based on the actual condition of the equipment. This approach helps extend asset lifespan, reduce maintenance costs, and minimize unplanned production downtime.
Why predictive maintenance is a game-changer in ATEX zones
In ATEX environments—where safety is a top priority—predictive maintenance marks a true paradigm shift. First, it significantly reduces the need for human interventions in hazardous zones, thereby limiting technicians’ exposure to potential risks. Moreover, continuous monitoring of critical equipment allows for real-time detection of abnormal behavior, such as excessive vibrations, leaks, or overheating.
Being able to anticipate failures plays a key role in preventing industrial incidents. When anomalies are detected early, they can be addressed before posing any real danger. According to McKinsey, adopting predictive maintenance can reduce maintenance costs by up to 30% while increasing equipment availability by 20–25%.*
IoT at the heart of predictive maintenance in ATEX zones
The Internet of Things (IoT) plays a central role in the rise of predictive maintenance in ATEX environments. Through smart sensors connected to supervision platforms, field data is collected continuously and securely—even under extreme conditions. These IoT sensors, specially designed and ATEX-certified, meet strict technical constraints (battery shielding, reinforced electronics, high-temperature tolerance, etc.).
Communication typically relies on long-range, low-power protocols such as LoRaWAN, which are well suited to industrial settings. These protocols transmit data efficiently to analytics systems without requiring complex wiring or heavy infrastructure.
IoT also enables the integration of artificial intelligence and machine learning tools, which enhance predictive diagnostics by identifying recurring patterns or weak signals within the data. This advanced analytical capability brings a new level of responsiveness and precision in anticipating potential failures.
What are the tangible benefits for industrial companies?
Integrating ATEX-certified IoT sensors into industrial facilities delivers clear benefits. It improves operator safety by reducing their presence in high-risk areas, while optimizing maintenance processes. Emergency interventions—which are often costly and unpredictable—are gradually replaced by planned and targeted actions.
Furthermore, continuous monitoring enables maintenance to be adjusted based on actual equipment conditions, extending their lifespan and reducing premature wear. Maintenance teams can schedule interventions more efficiently using reliable data. This translates into better control of operational costs and fewer production disruptions.
Field-proven use cases in ATEX zones
Predictive maintenance in ATEX zones has many practical applications. For example, steam traps used in sectors such as food processing, heat production, and pharmaceuticals can be monitored to detect performance loss and optimize maintenance schedules. Monitoring the level of fuel oil or LPG tanks helps plan refills and reduce on-site visits. Likewise, remote metering of water or gas consumption provides accurate tracking without human exposure to hazardous environments.
These use cases clearly illustrate the key role of IoT in transforming industrial maintenance practices. Far from being a mere technological trend, it is a true operational lever for safety and performance.
A mature technology still underused
Despite its well-documented benefits, predictive maintenance remains underused in many industrial organizations. In France, only 22% of companies use IoT technologies.In Germany, the adoption rate is 36%. These figures show that IoT integration is still relatively low, even in advanced industrial economies. Several factors contribute to this situation: upfront investment costs, the need to upskill technical teams, and the complexity of regulated environments.
And yet the potential gains are significant—in terms of both safety and industrial performance. It’s time for manufacturers to stop considering predictive maintenance as optional and start treating it as a strategic priority in their operational roadmaps—especially when operating in ATEX-classified high-risk environments.
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*Source : https://www.mckinsey.com/capabilities/operations/our-insights/digitally-enabled-reliability-beyond-predictive-maintenance#/