# The IoT/IoE Integrated Security & Safety System of Pompeii Archeological Park
## 10 The Data Center and the Artificial Intelligence Engine  
To further reinforce the system's robustness, a state-of-the-art Data Center was constructed as an integral part of the facility. This center was specifically designed to safely host all essential components of the integrated technological ecosystem--including servers, data storage units, networking equipment, and analytical platforms. The infrastructure was engineered to meet rigorous standards of physical and digital security, ensuring data protection and system durability under all operating conditions. The Data Center is continuously monitored by the technical personnel stationed in the Control Room's infrastructure section, allowing for ongoing performance assessments and proactive maintenance to prevent failures or service interruptions. The operative scheme of the Control Room, Data Center, and Area Security Checkpoints is shown in Figure 8.  
The computing power of the Data Center plays a pivotal role in enabling and sustaining the high-performance features of the integrated technological system deployed across the archeological site. Among these capabilities, particular emphasis is placed on those that rely on Artificial Intelligence (AI), which require not only considerable processing capacity but also robust, scalable, and resilient infrastructure. Indeed, the Data Center acts as the central processing hub where all data streams--originating from a vast and heterogeneous network of sensors, monitoring devices, unmanned systems, mobile terminals, and communication platforms--are collected, synchronized, and analyzed in real time. These data sources include environmental and microclimatic sensors, structural health monitoring devices, visitor tracking systems, video surveillance cameras, access control terminals, crowd behavior detectors, etc. The aggregated data volume is substantial, both in velocity and in variety, necessitating a dedicated architecture capable of supporting continuous high-throughput operations. At the core of this architecture lies a suite of AI modules, which represents the AI engine, specifically designed and optimized to process the incoming data through advanced algorithms such as machine learning, deep learning, pattern recognition, anomaly detection, and predictive analytics. These intelligent components are responsible for translating raw sensor data into actionable insights and automated responses. For example, AI routines  
Figure 8: Operative scheme of the Control Room, Data Center and Area Security Checkpoints. continuously evaluate structural integrity indicators to identify early warning signs of damage or degradation. Other models interpret video feeds to detect unusual movements, unauthorized access attempts, or potentially hazardous behaviors. Furthermore, AI contributes to the overall operational efficiency of the site by managing a wide range of ordinary processes, such as environmental regulation, energy consumption balancing, personnel scheduling, incident reporting, etc. It also plays a crucial role in coordinating emergency procedures by fusing data from multiple inputs and triggering preconfigured security and safety protocols in response to specific conditions or threats. Thanks to the high-performance computing capabilities of the Data Center, these AI-driven processes can operate with low latency and high reliability, ensuring real-time situational awareness and rapid decision-making support. The system's modularity and elasticity also allow for the seamless integration of future functionalities and the gradual incorporation of new data sources or analytical tools. Ultimately, this intelligent, data-centric infrastructure serves as the operational backbone for enhancing security and safety, improving conservation strategies, and streamlining the daily management of a complex and dynamic cultural heritage environment. The project has devoted careful attention to principles of green computing--a set of practices aimed at reducing the environmental impact of IT infrastructure.