Some benefits are reduced power consumption, higher stocked product quality, and a more simplified and robust refrigeration system operation.

The current progress in computer, software, and algorithm analysis technologies allows Artificial Intelligence (AI) techniques to be present in our daily lives and refrigeration processes.

The topic of Artificial Intelligence covers a variety of techniques and approaches to solving complex problems and performing tasks that normally would require human intelligence. With the progress of electronic technology and the continuous miniaturization of the components, the strengthening of Edge AI is happening quickly. In other words, the implementation of AI that was executed almost exclusively in large computers or servers is now available in dedicated electronic controllers.

First, to benefit from Artificial Intelligence, we need data, lots of data. In a simplified manner, we can assume that artificial intelligence techniques perform the data analysis, applying mathematical techniques and enabling the definition of patterns, forecasts, and correlations of different types of information, among others. Thus, the larger the integration between these sensors, controllers, and systems, the greater the benefits.

For example, specifically for the HVAC-R industry, we obtain continuous learning from a refrigeration system through Machine Learning, a field of AI focusing on developing algorithms that allow computers to learn patterns from data groups. This means that systems based on AI learn with new data over time, allowing the adjustment of the operation to optimize the performance based on specific location conditions and user behavior. Adapting to variable conditions through intelligent algorithms may automatically adjust the settings in the system in response to changes in environmental conditions, refrigeration demands, or characteristics of the stored goods.

By implementing pattern recognition techniques, it is possible to identify the schedules of greater refrigeration demand and optimize the defrost cycles so that they are executed in the most convenient moments. That optimization results in the maximization of power efficiency, resulting in the reduction of the operational costs for clients, and also has environmental benefits.

With the application of anomaly detection strategies, it is feasible to identify performance losses in the refrigeration system and detect failures in the system proactively. This approach to monitoring allows a thorough analysis of the operational patterns, enabling the early identification of significant deviations from normal conditions, predictive maintenance, and ensuring more trustworthy operations.

We are sure that it is a technology that has arrived to stay and that companies that are using and benefiting from it will have significant earnings in power efficiency, quality in product conservation, and more straightforward and more robust refrigeration systems operation.

Maicon Giesch – Engineering Manager for Full Gauge Controls