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How to correctly choose the basic parameters of an inclination sensor
The tilt sensor is a type of attitude sensor, mainly used for horizontal detection of the object's state, and it also has the capability to measure the size of angles.
Tilt sensors are generally divided into two types.
One type can be called a static tilt sensor, whose basic principle is Newton's second law. This type of sensor is mostly used for monitoring static or quasi-static objects and has become an indispensable measuring tool in industries such as dam, bridge, building, and high-altitude work platform vehicle angle detection.
The other type is the dynamic tilt sensor, which uses the latest inertial navigation technology to avoid the problem of loss of accuracy during motion and vibration. It can be applied to drones, smart agriculture, engineering machinery, robots, and other moving carriers, measuring the attitude of the carrier with high precision during motion.
Therefore, when choosing a sensor, it is necessary to select a tilt sensor that suits one's own needs.
Basic parameters of tilt sensors
1. Range
The range is the maximum measurement range that the sensor can measure, referring to the difference between the upper and lower limits of measurement. Each sensor has its own measurement range, and the output signal of the sensor is only accurate when the measured object is within this range. Acceleration sensors with a range within 1G can be used as tilt sensors, while those with a range exceeding 1G are used as acceleration sensors or vibration sensors. Because the larger the range, the lower the accuracy. Dual-axis tilt sensors can select a range within ±90°, while single-axis tilt sensors can select 360° in the vertical direction.
2. Accuracy
During the testing and measurement process, measurement errors are unavoidable. There are mainly two types of errors: systematic errors and random errors. Systematic errors can be caused by inherent errors in measurement principles and algorithms, inaccurate calibration, environmental temperature effects, material defects, etc., and the degree of impact of systematic errors can be reflected by accuracy. Random errors can be caused by gaps in transmission components, aging of electronic components, etc., and the degree of impact of random errors can be reflected by precision. Accuracy is a comprehensive indicator reflecting both systematic and random errors; the higher the accuracy, the higher the accuracy and precision.
3. Zero offset
Zero drift refers to the phenomenon where the output value of the sensor still has a small degree of variation even when the input quantity is constantly zero. There are many causes of zero drift, such as changes in the characteristics of sensitive components over time, stress release, component aging, charge leakage, and changes in environmental temperature. Among these, zero drift caused by changes in environmental temperature is the most common phenomenon.
4. Input frequency
The frequency response characteristics determine the frequency range of the measurement. It is necessary to allow for distortion-free measurement conditions within the frequency range, but in practice, the sensor's response will always have a certain delay. The higher the sensor's frequency response, the wider the measurable signal frequency range, while the interference will also be greater. Conversely, the lower the sensor's frequency response, the narrower the measurable signal frequency range, and the lower the interference. In practical applications, many measurements are time-varying signals, such as changes in current values, changes in object displacement, changes in acceleration, etc. This requires the sensor's output to not only accurately reflect the size of the measurement but also keep up with the speed of changes in the measurement. Within the frequency response range of the sensor, the amplitude of its output has a small variation within a certain range (maximum attenuation is 0.707). Therefore, when the input value varies sinusoidally, it is usually considered that the output value can correctly reflect the input value. However, when the frequency of the input value changes more rapidly, the output value will exhibit significant attenuation, leading to greater measurement distortion.
5. Communication interface
Various interfaces are available, including RS232, TTL, RS485, RS232, CAN bus, voltage, current, SPI, IIC, and Profibus.
Inclination monitoring
X, Y axis, industrial design, small size, low power consumption
Compass heading
X, Y, Z three axis, attitude calculation measurement algorithm
Imu inertial sensor
Three-axis angle, angular velocity, acceleration, magnetic field measurement
Attitude heading reference system
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