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Laboratory automation Mixing and Scraping Monitoring System

The Mixing and Scraping Monitoring System is an instrument that uses a three-axis MEMS sensor and multi-dimensional synchronous measurement technology, a fully sealed dust-proof and waterproof structure, and intelligent data analysis software to achieve real-time monitoring of abnormal vibration of the slurry tank and early warning of scraping.

  • Mixing and Scraping Monitoring System
产品介绍

Application Areas

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·Dedicated to solving the problems of scraping, structural damage and production safety hazards caused by abnormal vibration of industrial tanks, achieving high-precision dynamic monitoring and real-time early warning

Capturing abnormal vibrations caused by material mixing, mechanical friction or external interference during the operation of the tank, preventing tank scraping or structural damage



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Multi-dimensional vibration synchronous monitoring


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Fully sealed dustproof and waterproof structure


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Millisecond response



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High-precision vibration sensor

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Intelligent alarm

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Customized data analysis


系统参数

Model


Vibration speed

0~50mm/s

Vibration acceleration

±16G

Vibration angular velocity

±2000°/s

Vibration displacement

0~39999um

Vibration frequency

1~100Hz

Accuracy

<5%F.S.

Internal operating voltage

5V~36V

Sensor operating current

<25mA

Vibration measurement direction

X-axis, Y-axis, Z-axis (three-axis synchronous measurement)

Operating temperature

-40°C~85°C

Detection cycle

1~100Hz

Deadline

0~100Hz

External information transmission

Network port and other serial port communications

Size

47*38*33mm

Impact resistance

20000g (Compliant with MIL-STD-810G standard)

Enclosure protection grade

IP67


背景

In many industrial fields, slurry tanks are one of the core production equipment. During long-term operation, they often produce abnormal vibrations due to uneven material mixing, mechanical friction or external interference, leading to tank scraping, structural damage and even equipment failure, seriously affecting production safety, efficiency and equipment life.


Limitations of Traditional Vibration Monitoring Technologies

· Single monitoring dimension: It is difficult to achieve multi-axis synchronous vibration signal capture and spectrum analysis

· Poor environmental adaptability: Ordinary sensors are not stable enough in high-risk, dusty, and humid working conditions

· Insufficient accuracy and response speed: Unable to accurately capture micron-level deformation or instantaneous abnormal vibration

· Low level of intelligence: Lack of customized data analysis and early warning functions, difficult to meet complex process requirements


Core drivers

Industry safety and efficiency

Technology upgrade requirements—high-precision dynamic monitoring, intelligent function expansion, operation and maintenance cost optimization requirements, environmental protection and compliance requirements

Multi-dimensional synchronous acquisition

Environmental robustness design



测试原理

Vibration sensors installed in horizontal and vertical directions collect the vibration parameters of the slurry tank (such as velocity, acceleration, displacement, etc.) in real time and convert them into standardized electrical signals. The vibration signals of the equipment are captured by three-axis MEMS sensors.


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产品特色

Integration


The first fully integrated gas production pressure measurement equipment

Industry leading companies promote products

Ultra-wide temperature range


-40°C~250°C ultra-wide measurement temperature range

Unique buffer structure design prevents electrolyte from contacting and corroding the sensor

Fully automatic measurement


One-stop multi-channel, new measurement experience

Fully automatic measurement of all parameters

Professional data processing


Single point mode and linear mode are optional

Measurement data is displayed online in real time


应用案例

The anti-scratch monitoring system is installed on the side wall of the transfer tank to detect abnormal vibration of the tank in real time and issue a light warning based on the threshold.


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