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IRISS ESC-STS Ambient Temperature & Humidity E Sentry Sensor, Surface Temp - EC3103

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ESC-STS Ambient Temperature & Humidity E Sentry Sensor, Surface Temp (full details below)

Ambient Temperature E-Sentry-Series Humidity IRISS Sensor Surface Temperature

Sensors

IRISS ESC-STS Ambient Temperature & Humidity E Sentry Sensor, Surface Temp - EC3103

Supplied via IRISS

ESC-STS Ambient Temperature & Humidity E Sentry Sensor, Surface Temp

Ambient Temperature E-Sentry-Series Humidity IRISS Sensor Surface Temperature

Product Overview

The Surface Temperature Sensor is a rugged, high-precision sensor in the E Sentry Connect system, designed to monitor both environmental and surface-level conditions. It measures ambient and surface temperature and humidity simultaneously, helping teams identify thermal or moisture-related risks before they escalate.

With Long Range Bluetooth Low Energy connectivity to the E Sentry Hub, it integrates into a smart monitoring network that supports predictive maintenance and long-term asset protection. Rated for -20°C to +80°C with full humidity coverage and a 3+ years battery life, the Surface Temperature Sensor offers durable, low-maintenance insights in harsh industrial environments.

Key Features:

  • Multi-Parameter Sensing: Measures ambient and surface temperature to give a comprehensive view of environmental and equipment conditions.
  • Long Life Power Source: Powered by CR2477 batteries, the sensor delivers uninterrupted monitoring with a battery life of 3+ years.
  • Industrial-Grade Durability: Engineered for long-term reliability in harsh environments with an operating range of -20°C to +80°C.
  • Seamless System Integration: Connects to the E Sentry Hub via LR_BLE, enabling real-time data capture and streamlined asset monitoring across your facility.
  • Hands-Off Operation: Once deployed, the sensor requires no manual intervention, supporting safer, smarter, and more compliant maintenance workflows.
  • Precision Monitoring: Offers temperature accuracy of ±1.0°C and humidity accuracy of ±1.5% RH, ensuring dependable data for maintenance decisions.

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