How to improve the stability and accuracy of load cell

The following are ways to improve the stability and accuracy of the load cell:

Methods to improve stability

Optimized design:

Reasonable mechanical structure: adopt symmetrical and firm structure to reduce stress concentration and deformation. For example, the pressure sensor uses a regular elastic body such as a circle or a square, and the acceleration sensor is designed in a compact and low center of gravity structure to reduce the influence of external vibration on measurement. Selection of high-quality materials: choose materials with low heat, high expansion coefficient, high elastic modulus and good chemical stability. Ceramics, Shi Ying, etc. can be used in high temperature environment; Corrosion-resistant metal or alloy is selected as the sensitive element material in corrosive environment. Environmental control and protection:

Temperature control: use constant temperature equipment such as thermostat, air conditioning system or heating wire to control the working temperature of the sensor in a suitable range to reduce the influence of temperature change on performance. Humidity control: For humidity-sensitive sensors, dehumidifiers, desiccants or sealed packages are used to reduce ambient humidity and prevent moisture. Electromagnetic shielding: In the environment of strong electromagnetic interference, measures such as metal shielding cover, conductive coating or shielding wire are used to isolate the sensor from the external electromagnetic field to prevent interference with signal transmission and measurement accuracy. Signal processing and compensation:

Filtering: Mean filtering, median filtering, Kalman filtering and other algorithms are used to process the sensor output signal to remove noise and interference signals.

Error compensation: establish sensor error model to compensate. For example, the zero offset of the zero drift sensor is measured regularly and deducted; Sensors with large nonlinear errors are compensated by linearization technology or polynomial fitting.

Regular maintenance and calibration:

Cleaning and maintenance: clean the sensor regularly to remove impurities such as dust and oil stain, check whether the connection is loose and the appearance is damaged, and find and solve problems in time.

Calibration: Regular calibration ensures accurate measurement results. High-precision sensors are calibrated regularly according to the manufacturer's regulations or relevant standards; Calibration methods include contrast calibration, two-point or multi-point calibration, etc.

Methods to improve accuracy

Using high-precision components:

Sensitive components: Select sensitive components with high sensitivity, good linearity and high resolution. For example, the strain gauge pressure sensor adopts high-quality strain gauge, which can more accurately convert pressure change into resistance change and improve measurement accuracy. Electronic components: electronic components such as high-precision amplifier and analog-to-digital converter (ADC) are used. The high-precision amplifier can amplify weak signals and reduce distortion; High-resolution ADC can convert analog signals into more accurate digital signals, improve measurement accuracy and resolution, and optimize manufacturing process;

Micro-nano machining technology: Micro-size sensors, such as MEMS sensors, can realize high-precision size control and complex structure manufacturing by using advanced micro-nano machining technology, making the performance more stable and accurate. Precision assembly: ensure the accurate installation and positioning of components during the assembly process, and avoid the influence of assembly errors on accuracy. For example, the assembly accuracy of optical elements such as lenses and filters in optical sensors directly affects the light propagation and detection accuracy. Data processing and algorithm optimization: advanced algorithm: using adaptive filtering algorithm to automatically adjust filtering parameters according to signal changes to remove noise; Neural network algorithm can model and compensate the nonlinear characteristics of sensors and improve the measurement accuracy. Data fusion: the data of multiple sensors are fused and processed, and the reliability and accuracy of measurement results are improved by using their respective advantages. For example, in the attitude measurement system, the data of various sensors such as accelerometers, gyroscopes and magnetometers are fused to obtain more accurate attitude information. Shenzhen Kaidechang Electronic Technology Co., Ltd. is a manufacturer specializing in the production of high-quality and high-precision force sensors. The main products are miniature Lalor force sensors, pull-rod tension and compression sensors, S-type Lalor force sensors, ring sensors, column sensors, shaft pin lifting sensors, There are more than a thousand kinds of force control products, such as weighing sensor, multi-axis force sensor, moment sensor, micro-displacement sensor, pressure transmitter (hydraulic sensor), transmitter/amplifier, control instrument, and gripper, etc., and they have won many national exclusive benefits: the products are widely used in more than 10 new and intelligent high-end fields, including industrial automation production lines, 3C, new energy, robots, machinery manufacturing, medical care and textiles.