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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
The pH sensor KNF101 isApplied to various industries such as water treatment (rivers, lakes, drinking water sources, groundwater, etc.), aquaculture, environmental monitoring, CIP, etc. for pH measurement, RS485 output can be integrated into the system PLC for collection And control.
PH meter, pH sensor, pH sensor KNF101 features:
PH online monitoring instrument, pH sensor KNF101Technical Indicators:
|
range |
0~14pH |
Installation method |
3/4 'NPT thread |
|
resolution |
0.01pH |
maintenance |
It is recommended to clean the electrodes once a month, calibrate them every three months, and replace them once a year. |
|
precision |
±0.1pH |
display mode |
none |
|
Operating Temperature |
0~65℃(0~ 100 ℃ optional) |
Measurement compensation method |
Temperature compensation NTC2.252K |
|
work pressure |
<0.2MPa |
size |
50×45×230mm |
|
Measuring principle |
Electrochemistry, 3mol/L KCL |
weight |
230g |
|
Signal output mode |
Rs485(Modbus/RTU) |
calibration method |
Two-point calibration |
|
wetted material |
PPR |
Protection level |
IP68 |
|
power consumption |
<0.5w |
power supply |
12~24VDC±10% |
The pH online monitoring instrument pH sensor KNF101 can be connected to the Internet of Things cloud platform and can be used as an online monitoring device with an automatic cleaning device.
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