Shenzhen Kenafu Technology Co., Ltd
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Chlorophyll sensor - fluorescence online sensor KNF-109
Chlorophyll meter, chlorophyll fluorescence meter, chlorophyll analyzer, KNF-109 is used for chlorophyll determination in various industries such as w
Product details

Chlorophyll meter, chlorophyll fluorescence meter, chlorophyll analyzer, KNF-109 have been calibrated in the laboratory and output RS485 digital signals. They have automatic cleaning brushes and can be easily integrated with the upper computer PLC to achieve real-time measurement and warning control.

叶绿素传感器

KNF-109 chlorophyll meter, chlorophyll analyzer, chlorophyll fluorescence meterAdopting leading optical technology, plug and play without the need for reagents, integrated design, efficient power management, sturdy structure, stable sensor performance, maintenance free and frequent calibration, long-term online use, optional automatic cleaning device.

Can be used for research, investigation, and monitoring of the status of rivers, lakes, ponds, oceans, aquaculture, drinking water sources, algae, and phytoplankton

KNF-109 Chlorophyll analyzerTECHNICAL INDEX

model KNF-109
Range of measurement
0~400ug/L or 0~100RFU
resolution 0.1 μ g/L or 0.1% RFU measuring principle fluorescencelaw
Linearity R2>0.999
cleaning device Comes with cleaning brush
protection grade IP68 Depth Underwater 10 meters
temperature range 0-50℃ data output branchHolding RS-485, MODBUSagreement
usage Investment style power supply DC 6~12V, Current<50mA(When not cleaning)
size Φ45mm *180mm
Length
Standard 10m, customizable
Shell material 316l stainless steel storage temperature
0-60℃

凯纳福物联网云平台

凯纳福水质检测平台软件著作权

The chlorophyll meter KNF-109 can be equipped with an IoT cloud platform to achieve online monitoring function.

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.


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