Gas Detector

  Enquire / contact me

With a digital type transmitter based on micro-processor

Artificial Intelligence

Gas Detector
Gas Detector

DA-500 from Gas Dna  detects combustible or toxic gas leakage and displays the gas density on the built-in LCD. The 420mA standard current output signal can be connected into the various controllers such as gas leakage warning devices (GMS-1000/2000), PLC, DDC, or MMR for individual or integrated gas monitoring system. 
The various functions from artificial intelligence by built-in micro-processor offers more convenient & comprehensive gas monitoring environment with the easiest operation as well as the most extensive applications. 


Digital Process

By built-in micro processor, various artificial intelligence functions enables more convenient, more accurate, and more efficient operation & maintenance


Non-Intrusive Auto-Calibration With Magnetic Switch

By magnetic switch with digital processing auto-calibration, you can avoid a troublesome work of opening the sensor cover for operation or maintenance. This function is especially effective for the repair work in the explosion-proof area. 


LCD Display With Back-Light

By real-time displaying the detection density on LCD, instant confirmation of density is possible. Also, auto back lighting enforces the readability of LCD even in dark area. 
User programming menus for alarm, calibration, scale and so on. 


4-20mA Transmitter

Standard electric current output signal (4-20mA) allows stable long distance (up to 2.5km) transmission. 

Other features


Alarm Output : SPST relay contact (ALARM-1 & ALARM-2). 
Communication Output : serial data output(option). 
Explosion-Proof Approval : Ex d IIC T5

Posted on September 10, 2018 - (775 views)
GasDNA Co., LTD.
6th Floor Cheongcheon-Dong, Bupyeong-Gu 425
21315 Incheon City - Korea Dem.People's Rep.
+82-32 62375 07
+82-32 62375 10
View full company profile
Location
Related articles
AI Convention Europe Presents KAPTAIN
Self-teaching cobot
Steering System ProAI
Platform for Real-Time Monitoring
Prediction of Industrial Processes Thanks to Machine Learning
Distributed Storage Solutions
Innovation Forklift
Connected Vehicle Solution
Cloud Application
Robotic Process Automation