Ammonia nitrogen sensor[KNF-107] is an ammonia nitrogen index used in industries such as water treatment (rivers, lakes, drinking water sources, groundwater, etc.), aquaculture, environmental monitoring, CIP, etc., to measure water quality standards.
The ammonia nitrogen sensor [KNF-107] has RS485 and 4-20mA signal outputs, making it easy to integrate with the upper computer PLC and achieve real-time data upload and control functions.
Ammonia nitrogen sensor KNF-107characteristic:
- Ammonia nitrogen analyzer [KNF-107]There is automatic temperature compensation.
- Output standard RS485 digital signal.
- Rs485 signal facilitates connection to PLC DCS、 Third party devices such as industrial control computers, paperless recording instruments, or touch screens.
- Function settings are more convenient and efficient.
- The calibration function provides a simple and fast calibration method.
- Real time data transmission allows you to obtain timely and accurate data on monitored water bodies.
Technical specifications of ammonia nitrogen sensor KNF-107:
Range of measurement |
0.1-100/1000mg/L |
power supply |
12~24VDC |
resolution |
0.01,0.1mg/L |
signal output |
RS-485 bus, Modbus/RTU protocol |
accuracy |
±5% |
Shell material |
PC and PBT anti-corrosion |
operation temperature |
0~40℃ |
Installation method |
3/4 'NPT thread, two specifications for flow pool and installation |
Working pressure |
<0.1MPa |
Length |
10m, other lengths can be customized |
The pH range of the medium |
4~10 pH |
Calibration method |
Two-point calibration |
temperature compensation |
Automatic temperature compensation (Pt100) |
power consumption |
<0.5W |
protection grade |
IP68 |
Ammonia nitrogen sensor KNF-107 Can be equipped with cloud platformon-line monitoring
Kenafu Technology's "IoT Monitoring Cloud Platform" is an efficient, stable, and secure application platform built between IoT applications and monitoring devices. It is device oriented, adaptable to multiple network environments and common data transmission protocols, and has strong practicality, ease of operation, and real-time data performance. It has multiple comparison methods for querying and has good data comparison effects. It is mainly divided into two parts: data query and device management.
Equipment map
Alarm settings
Data Download
Real time data viewing
View historical curves