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Our solution, optimizes substation control with AI. It manages climate, monitors equipment, and enhances safety in real-time. Integrates with existing IoT for efficient operations
About
The HighcliffAI core is a collection of artificial intelligence algorithms running in Progressive Web Application. To ensure high availability, the applications on clusters hosted in either a private datacenter or public cloud. The HighcliffAI core provides the overall intelligence and control room automation by directing services called AI Actions to pursue specific safety and automation goals.
Key Benefits
Our solution to the challenge uses our proprietary AI technology, PhysarAI, which will optimize control over ergonomic and safety elements within substations. This includes managing climate control, monitoring equipment usage, and detecting potential issues through advanced algorithms that analyze data from multiple sources in real-time. PhysarAI's design easily integrates with existing IoT platforms. We can improve the efficiency of substation operations while ensuring a safe environment for both personnel and facilities.
Applications
Self-Adapting Climate Control
HighcliffAI can be used to create a self-adapting climate control system that adjusts temperature, humidity, and airflow based on real-time data from sensors monitoring the conditions inside the substation buildings. The AI would learn how different equipment responds to various environmental factors and adapt the climate control settings accordingly. This could prevent overheating or freezing of sensitive components, extending their useful life and reducing the risk of failure.
Astute Building Management
HighcliffAI can be used to create an industrially secure and resilient ambient control system that protects substation facilities and the environment, while keeping people safe, by remotely monitoring and locally marshalling the distributed elements in Iberdrola's substation buildings, such as lighting, heaters, air conditioning, security cameras, sensors, and extractors. The AI would learn from historical data and real-time sensor inputs to optimize ergonomic and safety element operations based on predefined goals (e.g., minimize energy consumption or maximize equipment lifespan). This system could also predict potential failures in the sensitive equipment and alert technicians before they become critical issues.
Intelligent Detection System
HighcliffAI can be used to create an intelligent detection system that continuously monitors all elements in the substation buildings for signs of potential issues (e.g., excessive heat, gas emissions, equipment malfunction, or unauthorized intrusion). The AI would learn from historical data and real-time sensor inputs to identify patterns associated with impending failures and alert technicians before they become critical incidents. This system could help prevent accidents, protect people and the environment, and minimize downtime for maintenance activities.