Factory water pipe networkResidual chlorine analyzer,Residual chlorine sensor, KNF-105It is used for continuous monitoring of residual chlorine content in water solutions in drinking water treatment plants, canning plants, drinking water distribution networks, swimming pools, cooling circulating water, water quality treatment projects, etc Sensor equipment for evaluating the disinfection and toxicity of water quality,KNF-105 has a flow cell that can simultaneously measure residual chlorine and PH indicators.
Factory water pipe network residual chlorine meter, residual chlorine sensor, KNF-105characteristic:
- Equipped with automatic temperature compensation.
- Output standard RS485 digital signal.
- The RS485 signal is convenient for connecting to third-party devices such as PLCs, DCS, industrial control computers, paperless recording instruments, or touch screens.
- Parameter 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.
Factory water pipe network residual chlorine meter, residual chlorine sensor, KNF-105Indicator:
Measurement range |
0-5mg/L 0-20mg/L |
Connection interface |
M39*1.5 |
resolution |
0.01mg/L |
Cable Length |
5-meter standard, customizable. |
measurement accuracy |
±2% |
power supply |
DC12V |
temperature measurement |
0-60℃ |
PH measurement range |
0-14 |
Temperature Accuracy |
±0.2℃ |
protection grade |
IP68 |
Compensation method |
automatic compensation |
weight |
make an appointment0.5Kg |
Output |
RS485 (MODBUS protocol) |
Medium flow rate |
100~250mL/min |
Shell material |
ABS flame retardant material |
operation temperature |
5~50℃ |
Factory water pipe network residual chlorine meter, residual chlorine sensor, KNF-105Can 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