Product DataJanuary Sheet 2025 Aspirated Gas Detection System Description Model SA-4ES aspirated detection systems are designed for monitoring a wide range of gases in ambient air. System capacity is 1-4 Smart Sensors. Gas type and range of sensitivity are determined by installing user-specified sensors. An internal pump draws air and gas samples from a remote detection point to a sampling system where the Smart Sensors are installed. The sample flow rate is adjustable and supervised, allowing for sample lines greater than 100 feet. Equipped with an intuitive full-script HMI featuring a color LCD, the system controller automatically configures the installed Smart Sensors. Pertinent data for each sensor includes serial number, gas type, sensitivity range, most recent zero and span calibration data points, and last calibration date. User interface is accomplished using a programming magnet and frontpanel push-button switches. The system is housed in a rugged NEMA 4X weatherproof enclosure, ensuring durability and protection against environmental elements. Specifications1 System Detector Type² Detection Method Indicator User Interface Electrical Smart Sensor Module Aspirated Color LCD Magnet and front panel switches Input Voltage (Direct) 10 to 30 VDC (Optional AC Line Power) Power Consumption Serial Output (Optional Alarm Relays) Area Classification 90 to 240 VAC 2.5 - 10 watts (sensor dependent) RS-485 MODBUS RTU 2 form C 5A Contacts Non-Hazardous Locations NEMA 4X Weatherproof System Warranty 2 Years Detector Warranty Sensor technology dependent Humidity Range 0-95% non-condensing *Temperature requirements are sensor dependent Specifications subject to change without notice. Visit www.safeguardanalytics.com for a full list of gas sensor options. Safeguard Analytics continuously works to improve its products and reserves the right to change the technical data or specifications without notice. For the most up to date product characteristics check on the website www.safeguardanalytics.com or e-mail to [email protected] www.safeguardanalytics.c