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E-mail
1113338089@qq.com
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Phone
13926579015
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Address
Unit 601, Building B, Huaqiang Creative Industry Park, Guangming New District, Shenzhen, China
Shenzhen Kenafu Technology Co., Ltd
1113338089@qq.com
13926579015
Unit 601, Building B, Huaqiang Creative Industry Park, Guangming New District, Shenzhen, China
Factory water pipe network residual chlorine meter, residual chlorine sensor, KNF-105L
Factory water pipe networkResidual chlorine analyzer,Residual chlorine sensor, KNF-105LIt is a sensor device 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. It is used to evaluate the disinfection and poisoning status of water quality.
Factory water pipe network residual chlorine meter, residual chlorine sensor, KNF-105LFeatures:
Factory water pipe network residual chlorine meter, residual chlorine sensor, KNF-105LIndicator:
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measurement range |
0.00-5mg/L 0.00-20mg/L |
Connection interface |
M39*1.5 |
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resolution |
0.01mg/L |
cable length |
5-meter standard, customizable. |
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measurement accuracy |
±2% |
power supply |
DC12V |
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temperature measurement |
0-60℃ |
Operating Temperature |
5~50℃ |
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temperature accuracy |
±0.2℃ |
Protection level |
IP68 |
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Compensation method |
automatic compensation |
weight |
about0.5Kg |
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Output |
RS485 (MODBUS protocol) |
medium flow rate |
100~250mL/min |
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Shell material |
ABS flame retardant material |
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Factory water pipe network residual chlorine meter, residual chlorine sensor, KNF-105LCan be equipped with cloud platformonline 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.
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