The inclination sensor is a type of attitude sensor mainly used for horizontal detection of object states, and also has the ability to measure the magnitude of angles. There are basically two types of inclination sensors.

One type can be called a static inclination sensor, which is based on Newton's second law. This type of sensor is often used for monitoring static or quasi-static objects and has become an indispensable measurement tool in industries such as dams, bridges, buildings, and angle detection of high-altitude work platforms.

The other type is the dynamic tilt sensor. This type of sensor uses the latest inertial navigation technology to avoid the loss of accuracy of the sensor in the process of motion and vibration. It can be applied to unmanned aerial vehicles, intelligent agriculture, engineering machinery, robots and other motion carriers to measure the attitude of the carrier with high accuracy in motion.

So when choosing a sensor, you need to choose the tilt sensor that suits you according to your own needs.

Basic parameters of inclination sensor

1. Range

The range is the maximum range that a sensor can measure, which refers to the value of the difference between the upper and lower limits of measurement. Each sensor has its own measurement range, and when the measured value is within this range, the output signal of the sensor has a certain degree of accuracy. Acceleration sensors with a range of less than 1G are used as tilt sensors, while those with a range of more than 1G are used as acceleration sensors or vibration sensors. Because the larger the range, the smaller the accuracy. The dual axis inclination sensor can select a range within ± 90 °, while the single axis inclination sensor can select a range of 360 ° in the vertical direction.  

2. Accuracy

During the testing and measurement process, measurement errors are inevitable. There are two main types of errors: systematic error and random error. The reasons for system errors, such as inherent errors in measurement principles and algorithms, inaccurate calibration, environmental temperature effects, material defects, etc., can be reflected by accuracy to reflect the degree of impact of system errors. The causes of random errors include gaps in transmission components, aging of electronic components, etc. Precision can be used to reflect the degree of influence of random errors. Precision is a comprehensive indicator that reflects both systematic and random errors, and higher precision means higher accuracy and precision.

3. Zero offset and zero drift refer to the situation where the input of the sensor remains constant, and the output value of the sensor still undergoes a certain degree of small change. There are many reasons for zero drift, such as changes in the characteristics of sensitive components within sensors over time, stress release, component aging, charge leakage, and environmental temperature changes. Among them, zero drift caused by changes in environmental temperature is the most common phenomenon.  

4. Input frequency

The frequency response characteristics determine the frequency range to be measured, and it is necessary to allow undistorted measurement conditions within the frequency range. In fact, there will always be a certain delay in the response of the sensor. The higher the frequency response of the sensor, the wider the measurable signal range and frequency range, and the greater the interference. The lower the frequency response of the sensor, the narrower the frequency range of the measurable signal, and the lower the interference. In practical applications, a large number of measured signals are time-varying, such as changes in current values, changes in object displacement, and changes in acceleration. This requires that the output of the sensor not only accurately reflect the measured size, but also keep up with the speed of the measured changes. Within the frequency response range of the sensor, there is a small change in the amplitude of its output within a certain range (with a maximum attenuation of 0.707). Therefore, when the input value undergoes a sinusoidal change, it is generally believed that the output value can accurately reflect the input value. However, when the frequency of the input value change is higher, the output value will experience significant attenuation, leading to significant measurement distortion.  

5. Interface

Multiple interfaces are available for RS232, RS485, TTL, and CAN buses.