Gradhoc
Technologies employed by the software
Smart refrigeration, cooler future
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The main differentiating factors of Gradhoc are the digital twin, the optimizer, and the self-executing automatic actions with artificial intelligence embedded in the platform. The platform itself, through its tools, makes changes to control systems (automatic changes in setpoints based on other variables) to improve the operation of the cooling installations.
Automation technologies are systems that enable the execution of actions automatically, without direct human intervention. These technologies rely on the programming of rules or algorithms that determine how certain tasks or processes should be carried out based on specific conditions.
Gradhoc
Technologies
Artificial intelligence (AI) plays a fundamental role in this process by providing the capability for learning and adaptation to automated systems.
In the context of AI-driven automation, systems are able to learn from data and previous experiences to improve their performance and make more precise decisions. This is achieved through machine learning algorithms and data processing techniques that enable systems to identify patterns, make predictions, and adjust their behavior based on the results obtained.
Gradhoc
Details of the technologies
The research and development of the product have been conducted through the following technologies:
Gradhoc integrates IoT technology to connect and gather data from various sensors and devices in real-time. This connectivity enables remote monitoring of cooling installations and facilitates communication among themselves and with the software.
Algorithms for cooling maintenance and energy optimization, which are capable of learning automatically from experience. Through these machine learning algorithms and data processing techniques, patterns are identified, predictions are made, and actions are executed based on the results obtained.
Gradhoc incorporates digital twins to compare ideal versus actual installations and optimize them accordingly.
Gradhoc incorporates advanced data analytics techniques to extract insights, trends, and anomalies from large datasets.
Gradhoc utilizes cloud computing infrastructure to store and process large volumes of data efficiently. Cloud-based architecture enables scalability, flexibility, and accessibility for users across different locations.
Gradhoc includes sophisticated visualization tools and dashboards to present data and insights in an intuitive and actionable manner.
Gradhoc
Digital Twin
Data and charts concerning the detection of outliers of the statistical and machine learning model for the detection of desviations in the performance of any device.
Comparator twin: Comparison of the behaviour of similar assets clasified into different typologies. It compares optimal vs. actual model
Gradhoc
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