Example: Predicting failures through the integration of devices and spatial data. Free materials available.

Advanced predictive maintenance utilizing Azure Databricks. Detection accuracy that takes into account changes in the surrounding environment.

We will explain our (NTP) achievements in building an advanced failure prediction model that combines equipment data with spatial data. In addition to IoT sensor data such as equipment vibration and pressure, we integrated surrounding environmental data, such as pedestrian flow and material placement obtained from LiDAR and cameras, along a time axis. As a result, we successfully visualized the "impact of environmental changes on equipment," which had previously been difficult to capture, significantly improving the accuracy of abnormal signal detection. The case of digital twin implementation through a near-real-time dashboard directly contributes to stable operations on-site. Please download our support achievement document summarizing the actual implementation scheme and results for free right now.

SensorsOther safety equipment