Sensor Node
A device combining positioning technology with environmental sensors for tracking both location and conditions. Monitors parameters like temperature, humidity, vibration, light, or air quality. Enables condition monitoring and environmental compliance in addition to location tracking.
A sensor node in industrial RTLS is a device that combines location tracking capabilities with additional sensing functions, extending RTLS beyond pure positioning to provide contextual information about asset condition, environment, or operational status. This convergence of location and condition monitoring enables powerful applications: monitoring temperature-sensitive assets during production or storage, detecting impacts or rough handling of fragile materials, measuring environmental conditions in different facility zones, tracking equipment vibration for predictive maintenance, and monitoring door open/close status on containers or vehicles.
Common sensor integration examples include: temperature sensors (±0.5°C accuracy) for pharmaceutical cold chain monitoring, 3-axis accelerometers detecting movement, impacts, or equipment vibration, humidity sensors for moisture-sensitive materials, light sensors detecting container opening, pressure sensors for compressed gas monitoring, and GPIO interfaces for custom sensor integration (door switches, limit switches, custom industrial sensors). The technical challenge involves power management - sensors consume battery power, reducing tag operational lifetime. Communication protocols must transmit both position and sensor data efficiently within limited bandwidth and power budgets. Industrial applications include: cold chain compliance monitoring (verifying temperature-sensitive goods remain within acceptable ranges throughout transport and storage), impact detection (identifying when and where damage occurred), equipment monitoring (tracking utilization and vibration signatures for predictive maintenance), and environmental mapping (measuring temperature, humidity, or air quality variations across facility zones). Integration with enterprise systems (MES, ERP, maintenance management) enables automated workflows based on combined location-sensor intelligence.
The selection of sensor types depends on application requirements, considering: measurement accuracy, sampling rates, power consumption, sensor cost, and integration complexity.