## 4 Model (SIRPM)
### Characteristics and Benefits of the Model (SIRPM)
Wired solutions: These are applied in scenarios requiring more stable communication and higher bandwidth, such as industrial installations or local area networks (LANs). Wired IoT devices are typically used when more reliable and secure connections are needed. In the case of IoT solutions associated with technologies such as RPA and machine learning, the trend is towards wireless systems. This choice is characteristic of scenarios that require greater mobility and efficiency, as wireless technologies offer greater flexibility and ease of implementation, especially in dynamic and scalable environments. Technologies such as Wi-Fi, Bluetooth, Zigbee, LoRa, and 5G are frequently used in IoT devices to ensure efficient communication without the need for complex physical infrastructure. These technologies enable real-time data collection and remote monitoring, which is crucial for applications in intelligent automation and sustainability, as evidenced in the table. While wired solutions (such as Ethernet or industrial cables) provide greater stability and bandwidth, they are less common in IoT solutions geared towards mobility and efficiency. Wired solutions are more frequently adopted in specific environments requiring greater reliability and security, such as complex industrial installations. The IoT, in most cases mentioned in the table, is associated with wireless solutions, offering greater mobility, flexibility, and efficiency. The SIRPM model positions itself as a robust and innovative solution in the field of predictive maintenance. It offers a set of features and benefits that provide greater operational efficiency, cost reduction, and better data-driven decision-making. The integration of advanced technologies such as RPA, machine learning, and the IoT results in a system capable of continuously adapting to changes, ensuring sustainability and reducing environmental impacts, in addition to promoting the training of operational teams. In the context of the proposed model, scalability is an essential characteristic to assess the system's ability to handle increases in demand without compromising its efficiency. Limited scalability refers to a system that can only support small expansions, requiring significant infrastructure changes to handle a significant increase in load. Moderate scalability, on the other hand, allows for some degree of adjustment but still requires modifications to accommodate substantial increases in demand. High scalability indicates that the system is capable of supporting large expansions without the need for structural changes, maintaining efficiency and performance without interruptions, regardless of the workload. With regard to energy efficiency, this is defined as the system's ability to perform its functions with minimum energy consumption, optimizing the use of resources and thus reducing operating costs. Energy efficiency not only seeks to minimize the need for energy but also to ensure that the system operates sustainably. When integrated with sustainability, energy efficiency gains an additional dimension, promoting a reduction in the environmental impact of operations. This involves using technologies that not only reduce energy consumption but also favor renewable sources and practices that minimize the waste of resources. Thus, energy efficiency and sustainability are directly associated with the implementation of solutions that ensure both system performance and environmental responsibility, aligning with responsible business practices and the adoption of green technologies in the automation process. The main advantages of the SIRPM model in relation to existing models are as follows:  
1. Advanced technology integration (RPA, machine learning): it offers a robust and comprehensive combination of technologies, providing greater effectiveness and a continuous flow of data between sensors, analysis platforms, and operational teams. 2. Intelligent automation: it minimizes human intervention, reducing errors and making the process more efficient and secure. 3.