Residual chlorine analyzer, residual chlorine sensor, online residual chlorine analyzer KNF105L modelResidual chlorine analyzer Used in occasions where continuous monitoring of residual chlorine content in aqueous solutions is required, such as drinking water treatment plants, canning plants, drinking water distribution networks, swimming pools, cooling circulating water, and water quality treatment projects Determination of residual chlorine.

Characteristics of KNF-105L residual chlorine sensor:

1. Equipped with automatic temperature compensation.
2. Output standard Rs485 (Modbus/RTU protocol) digital signal.
3. Rs485 signal facilitates connection to PLC DCS、 Third party devices such as industrial control computers, paperless recording instruments, or touch screens.
4. Parameter settings are more convenient and efficient.
5. The calibration function provides a simple and fast calibration method.
6. Real time data transmission allows you to obtain timely and accurate data on monitored water bodies.
7. Can be equipped with an IoT cloud platform

KNF-105L residual chlorine sensor, water quality residual chlorine testing technical indicators:

typename	KNF-105L	material	Polyoxymethylene resin, polytetrafluoroethylene, gold, silver, conductive rubber
measuring principle	Principle of membrane method	operation temperature	5～50℃
Range of measurement	0-5mg/L or 0-20mg/L optional	usage	Input or circulation pool
resolution	0.01mg/L	size	25*135mm/25*105mm
accuracy	±2%	velocity of flow	15-30L/h
Calibration	Laboratory comparison method	in response totime	<30S
Working pressure	0～1bar	power supply	12～24VDC±10%
The pH range of the medium	4～9pH	protection grade	IP68
signal output	RS-485 bus, Modbus/RTU protocol	temperature compensation	Automatic temperature compensation (Pt100)








KNF-105L residual chlorine sensor, water quality residual chlorine testerCan be equipped with cloud platform for online 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.