# The IoT/IoE Integrated Security & Safety System of Pompeii Archeological Park
## 16 The Smart Mapping Interface System  
One of the most innovative and strategically important components within both the Security & Safety initiatives and the broader spectrum of digital transformation projects at the Archeological Park is the Smart Mapping Interface (SMI). This cutting-edge platform serves not only as a central monitoring hub but also as a comprehensive integration system capable of consolidating data from a wide variety of independent sources and technologies into a unified and interactive environment. The SMI is specifically designed to support real-time decision making, enhance situational awareness, and foster proactive site management across all operational domains. At the heart of the SMI lies a powerful Digital Twin of the entire Archeological Park, enabling stakeholders--ranging from security and safety operators to cultural heritage managers--to achieve a full-spectrum, geospatial view of every physical and virtual component within the monitored environment. This immersive and detailed 3D visualization allows for complete operational control over all the site's infrastructures, systems, and ongoing activities, including the real-time tracking and visualization of installed devices (such as sensors, cameras, and control units), as well as the dynamic presence of staff members, maintenance personnel, and visitors moving throughout the park. Beyond its mapping and visualization capabilities, the SMI is tightly integrated with the park's overarching digital platform infrastructure, making it capable of processing and aggregating data from a heterogeneous ecosystem of sources. These sources include, but are not limited to the following: video surveillance systems, access control points, intrusion detection devices, seismic activity sensors, hydrogeological monitoring stations, air quality detectors, unmanned aerial vehicles, mobile digital applications used by visitors, etc. Through advanced data fusion techniques, the platform ensures that all collected information is synchronized, contextualized, and made available for real-time analysis. The user interface of the SMI is engineered according to the principles of Natural User Interface (NUI) design, which ensures that users can interact with the system in a highly intuitive and human-centered way. Through visual, gestural, or touch-based controls, operators can easily navigate the 3D map, access real-time data streams, and receive immediate notifications regarding anomalies, breaches, or emergencies. When certain thresholds are exceeded--whether in temperature, crowd density, air quality, or any other predefined metric--the system automatically generates alerts and alarms, which are clearly displayed on the interface and can also be pushed to relevant personnel for prompt response. Another unique and forward-looking feature of the Smart Mapping Interface is its built-in Sentiment Analysis module, which serves as a real-time feedback engine based on the collection and intelligent analysis of publicly available social media content. By scanning platforms such as Twitter, Facebook, Instagram, and others, the system is capable of extracting and interpreting user opinions, emotions, and attitudes expressed about the site. These sentiments are then categorized, quantified, and visually represented through dynamically updated graphs, charts, and dashboards, providing immediate insights into public perception. This capability allows management to take data-driven actions in response to emerging trends or negative feedback, improving visitor engagement, service quality, and overall reputation management. The operative scheme of SMI and other IT applications is shown in Figure 10.  
In addition to digital sentiment gathering, the SMI benefits from physical data collection through the use of crowd sensing technologies strategically deployed throughout the park. Specifically, a network of crowd sensing cells has been installed at all major entrances and other high-traffic areas.