INTEGRATED ENERGY PLANT SECURITY SYSTEMS

Renewable energy plant security is a key priority to ensure safe, reliable and efficient operation of this important energy infrastructure.

PHYSICAL SECURITY

Renewable energy facilities, often located in remote or isolated areas, can be vulnerable to theft, vandalism or physical damage. To ensure appropriate physical protection through the design, installation, and maintenance of perimeter fencing, video surveillance systems, and alarm devices is essential

PROACTIVE REMOTE SURVEILLANCE AND MONITORING

Constantly monitoring the performance of security systems through an SOC provides comprehensive investment protection, reducing the likelihood of theft and ensuring timely intervention in case of fraud but also in case of lagate anomalies to the facility from a technical standpoint.

CYBERSECURITY AND DATA PROTECTION

Renewable energy plants are increasingly dependent on IT and control systems to monitor and manage operations. It is crucial to protect these systems from cyber threats such as hackers, malware and ransomware attacks through the implementation of robust cybersecurity solutions.

NEXT GEN TECHNOLOGY & AI

NOC 24h

A proactive systems monitoring solution, capable of providing countless monitoring metrics such as network utilization levels, CPU load of a Server, disk space consumption or availability of update patches, interference on Wireless transmission, migrating the management of problems in an IT, OT and IoT infrastructure from “reactive action”- problem reported by the customer to “proactive action”- reporting of a possible problem in an automatic mode by the system.

VIDEO ANALYSIS

During construction, maintenance, and operation of facilities, it is critical to ensure the safety of workers. This includes training on safe work practices, the proper use of personal protective equipment, and the implementation of emergency procedures.

Through our Video Analysis software, automatic neural learning scene software, the presence of human subjects who have fallen to the ground can be recognized and identified, and the proper use of induvidual protective equipment can be monitored.

PREDICTIVE MAINTENANCE

To implement advanced monitoring an d predictive maintenance system, based on machine learning and anomaly detection, is essential to ensure reliable and safe operation of plants.

Avoiding unplanned equipment shutdowns and detecting possible failures and critical issues in advance is critical, before they become a full-blown emergency.

Scheduled maintenance is not entirely effective, while a condition monitoring and anomaly detection system, based on constant monitoring of the health of plant components and the use of advanced artificial intelligence techniques to analyze the collected data, can be valuable in increasing efficiency.

ON FIELD CONNECTIVITY

Geographic location is a key strategic issue in the renewable energy field, especially for wind farms.

In fact, the location of plants is chosen based on technical and environmental considerations, as well as economic and social factors. Due to this reason, they are often located far from population centers and ICT infrastructure, and it is difficult to implement automation strategies on initial investments.

For this reason, our R&D Team selected a solution whereby the network in the territory is a natural extension of the central LAN with the elimination of network constraints in case of demand for computing power and complex data integration.