# Artificial Intelligence of Things as New Paradigm in Aviation Health Monitoring Systems
###### Abstract  
The integration of artificial intelligence of things (AIoT) is transforming aviation health monitoring systems by combining extensive data collection with advanced analytical capabilities. This study proposes a framework that enhances predictive accuracy, operational efficiency, and safety while optimizing maintenance strategies and reducing costs. Utilizing a three-tiered cloud architecture, the AIoT system enables real-time data acquisition from sensors embedded in aircraft systems, followed by machine learning algorithms to analyze and interpret the data for proactive decision-making. This research examines the evolution from traditional to AIoT-enhanced monitoring, presenting a comprehensive architecture integrated with satellite communication and 6G technology. The mathematical models quantifying the benefits of increased diagnostic depth through AIoT, covering aspects such as predictive accuracy, cost savings, and safety improvements are introduced in this paper. The findings emphasize the strategic importance of investing in AIoT technologies to balance cost, safety, and efficiency in aviation maintenance and operations, marking a paradigm shift from traditional health monitoring to proactive health management in aviation. artificial intelligence of things; aviation; health monitoring system; health management; maintenance; diagnostics +
Footnote †: journal: _Future Internet_  
increasingly complex tasks with minimal human intervention. AIoT in aviation is a clear manifestation of these potential capabilities, leveraging network technologies to support more efficient, safe, and reliable air travel. As a quintessential future internet technology, AIoT in aviation health monitoring systems not only revolutionizes current practices but also paves the way for more innovative applications in the aerospace sector. It represents a symbiosis of connectivity, intelligence, and automation, driving the aviation industry towards a safer, more efficient future. As technologies evolve and new challenges emerge, the continuous development and integration of AIoT will be pivotal in defining the next era of the aviation industry, embodying the full potential of the future internet. Today the IoT is increasingly integrated into various sectors. The paper [1] highlights the potential for expanded IoT implementation in the aviation sector, a critical area of modern life and travel, to improve the smooth operation of the thousands of commercial planes in the air at any moment. The study [2] explores the integration of the Internet of Things (IoT) in aviation, focusing on its application in airport process management, airline operations, and aircraft maintenance. It provides an overview of IoT's potential in aviation, identifies key areas for its application, and analyzes major trends and findings through a review of the literature from the Web of Science database. Another critical technology is Prognostic and Health Management (PHM), which significantly enhances fault detection capabilities in aircraft. Statistical reports have shown that failures in the aircraft system directly impact the overall health, performance, safety, and airworthiness of the aircraft [3]. Consequently, it is vital to develop a system that monitors the aircraft's health by analyzing and diagnosing faults to prevent catastrophic events. The PHM system enhances the safety, reliability, performance, and maneuverability of an aircraft. This leads to smarter maintenance of the aircraft's fuel system and other components, thereby reducing the workload on pilots [4]. The paper [5] examines the role of avionics systems in the growth of aviation industry, attributing recent advances to developments in avionics technology, despite its association with numerous aviation accidents. It focuses on PHM technologies that shift from traditional scheduled maintenance to condition-based maintenance, enhancing safety and performance.