# System for the Acquisition and Analysis of Maintenance Data of Railway Traffic Control Devices
###### Abstract  
A particularly important activity carried out by railway infrastructure managers to maintain railway devices in full working order is the diagnostic process. It increases the level of railway safety. The diagnostic process involves collecting information about the equipment through inspections, tests, functional trials, parameter measurements, and analysis of the working environment, followed by comparing the obtained information with the required parameters or permissible conditions. This activity also enables the formulation of a technical diagnosis regarding the current ability of the devices to perform its intended functions, taking into account the impact of its technical condition on railway traffic safety. This is especially important in the case of railway traffic control devices, as these devices are largely responsible for ensuring railway traffic safety. The collection of data on the condition of railway traffic control devices in the form of Big Data sets and diagnostic inference is an effective factor in making operational decisions for such devices. It enables the acquisition of complete information about the actual course of the exploitation process and allows for obtaining reliable information necessary to manage this process, particularly in the areas of diagnostics forecasting of devices conditions, renewal, and organization of maintenance and repair facilities. To support this, a service data acquisition and analysis system for railway traffic control devices (SADEK) was developed. This system can serve as a software platform for maintenance needs in the railway sector.  
purpose [3; 4; 5]. Therefore, online-acquired information about their technical and exploitation condition is particularly important.  
Modeling exploitation processes is especially effective when using the latest technical solutions, which allow for easy acquisition of information about device condition. At the same time, it is necessary to develop models that enable effective maintenance decision-making. This requires the continuous collection and processing of information on the condition of railway traffic control devices, the progress of process implementation, and the phenomena occurring in their environment. To achieve this, IT systems are essential--systems that allow for the monitoring of device states, powered by data automatically collected and stored in Big Data sets, as well as specialized software [6; 7; 8; 9]. Properly organized collection of exploitation data from railway traffic control devices and their analysis should not disrupt the operation and working conditions of the systems.  
This publication presents the concept of the SADEK system, designed for the acquisition and analysis of service data from railway traffic control devices, along with preliminary research results on the functioning of this system, taking into account reliability and safety aspects [10]. An important issue discussed is also the appropriate selection of IT tools that support the process of maintenance decision-making based on the collected data from railway traffic control devices, as well as the presentation of an original model of railway traffic control systems. Information about the condition of railway automation devices and the events occurring in their environment is crucial for making effective maintenance decisions that affect railway traffic safety [11].