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The adoption of fully automated track geometry measurement systems is rising as they offer real-time monitoring and data analysis, reducing reliance on manual inspections. These systems enhance operational efficiency by minimizing human error, enabling continuous monitoring, and ensuring precise measurements. Automation helps rail operators maintain higher safety standards and optimize maintenance schedules, ultimately leading to cost savings and improved rail network performance.
Integrating Internet of Things (IoT) devices and Artificial Intelligence (AI) into track geometry measurement systems significantly enhances data collection and analysis capabilities. IoT devices provide real-time data from various sensors while AI algorithms analyze this data to predict maintenance needs and identify potential issues early. This integration enables predictive maintenance, reducing unexpected downtime and maintenance costs, and ensuring smoother and safer rail operations.