How to improve the stability and accuracy of load cell?

The following are some common methods to improve the stability and accuracy of load cell:

Methods of improving sensor stability

Optimized design:

Structural design: adopt reasonable mechanical structure to reduce stress concentration and deformation. For example, in the pressure sensor, a strong and symmetrical structure is used to evenly distribute the pressure, so as to reduce the performance drift caused by excessive local stress. For the acceleration sensor, the design is compact and the center of gravity is low.

Structure, reduce the influence of external vibration on its own measurement.

Material selection: choose materials with good stability, such as materials with low thermal expansion coefficient, high elastic modulus and good chemical stability. For sensors working in high temperature environment, ceramics, Shi Ying and other materials can be selected, while in corrosive environment, corrosive metals or special materials need to be selected.

Alloy is used as the material of sensitive element.

Environmental control:

Temperature control: Many sensors are sensitive to temperature, so it is very important to keep the temperature of the working environment stable. By using constant temperature equipment, such as constant temperature box, air conditioning system or heating wire, the working temperature of sensors can be controlled within a certain norm, so as to reduce the transmission of steam change to power.

The influence of device performance. For example, in some high-precision laboratory measurements, the sensor will be placed in a constant temperature and humidity environment. Humidity control: For temperature-sensitive sensors, such as the humidity sensor itself and some optical sensors, it is necessary to control the humidity of the environment. Dehumidifier, desiccant or sealed package can be used to reduce the humidity of the environment to prevent the sensor from getting wet and ensure its stable performance. Electromagnetic shielding: In an environment with strong electromagnetic interference, it is essential to conduct electromagnetic shielding on the sensor. Measures such as metal shielding, conductive coating or shielding wire can be used to separate the sensor from the external electromagnetic field. For example, in the industrial site with dense electronic equipment, the shielded wire and grounding of the sensor cable can effectively reduce electromagnetic interference.

Signal processing: filtering: appropriate filtering algorithm is adopted to process the output signal of the sensor to remove the exposed sound and interference signals. Common normal wave methods include mean filtering, median wave evolution, Kalman wave evolution, etc. For example, when the vibration signal is being measured, the low-surge popper can be used to cool off the normal noise and get more accurate vibration frequency and amplitude information.

Compensation technique: by establishing the error model of the sensor, the measured results are compensated, such as 0. For the sensor with zero drift, the main point offset can be measured regularly and deducted in the subsequent measurement. For the sensor with large nonlinear error, it can be used.

Linearization technology or polynomial fitting method to compensate.

Regular maintenance and calibration:

Cleaning and maintenance: clean the sensor regularly to remove impurities such as dust and oil stain, so as to prevent it from getting cold or polluting the sensitive parts of the sensor. At the same time, check whether the connection of the sensor is loose and the appearance is damaged, and find out and solve potential problems in time. Calibration: calibrate the sensor regularly to ensure the accuracy and calibration of its measurement results; God's methods include using a standard cardiac device for comparison and calibration, and performing two-point or multi-point calibration according to known standard values. For high-precision sensors, it is recommended to follow the manufacturer's rules.

Close the standard for regular calibration.

Methods to improve the accuracy of sensors

Using high-precision components:

Sensitive components: Select sensitive components with high sensitivity, good linearity and high resolution. Example effect: In the strain gauge pressure sensor, using high-quality strain gauge has obvious resistance strain effect, which can more accurately convert pressure change into resistance change, thus improving measurement accuracy.

Degree.

Electronic components: High-precision amplifiers, analog-to-digital converters (ADC) and other electronic components are used. High-precision amplifiers can amplify weak signals and reduce signal distortion; High-resolution ADC can convert analog signals into more accurate digital signals and improve the measurement accuracy.

And resolution,

Optimize the manufacturing process:

Micro-nano machining technology: For micro-sized sensors, such as MEMS sensors, advanced fabrication technology can improve their accuracy. Micro-nano machining technology can realize high-precision size control and complex structure manufacturing, making the performance of sensors more stable and accurate.

Precision assembly: In the process of sensor assembly, ensure the accurate installation and positioning of each component, and avoid the influence of assembly error on sensor accuracy. For example, in optical sensors, the assembly accuracy of optical elements such as lenses and filters directly affects the propagation and detection accuracy of light.

Data processing and algorithm optimization;

Advanced algorithm: advanced signal processing and data analysis algorithms are used to extract useful information from sensor signals and improve measurement accuracy. For example, adaptive filtering algorithm can automatically adjust filtering parameters according to signal changes and remove noise better. Neural network algorithm can model and compensate the nonlinear characteristics of sensors and improve measurement accuracy.

Data fusion: the data of multiple sensors are fused, and the advantages of different sensors are used to improve the reliability and accuracy of the measurement results. For example, in the attitude measurement system, more accurate attitude information can be obtained by fusing the data of various sensors such as accelerometers, gyroscopes and magnetometers.