Application of sensor detection systems and measurement applications

The concept of detection system is the product of the development of sensor technology to a certain stage. The detection system is an organic combination of sensors, measuring instruments, and conversion devices.

In engineering practice, sensors and multiple measuring instruments need to be organically combined to form a whole in order to complete signal detection, thus forming a detection system. With the continuous development of computer technology and information processing technology, the content involved in the detection system has been continuously enriched. In the modern production process, the detection of process parameters is carried out automatically, that is, the detection task is automatically completed by the detection system, so it is very necessary to study and master the composition and principle of the detection system.

The sensor in the system is a device or apparatus that senses the size of the measured value and outputs a corresponding usable output signal. The data transmission link is used to transmit data. When several functional links of the detection system are separated independently, data must be transmitted from one place to another, and the data transmission link is to complete this transmission function.

The data processing link is to process and transform the output signal of the sensor. For example, the signal is amplified, calculated, filtered, linearized, converted into digital-to-analog (D/A) or analog-to-digital (D/A), converted into another parameter signal or a standardized unified signal, etc., so that the output signal is easy to display and record, and can also be connected to a computer system to process the measurement signal or use it for automatic control of the system. The data display link converts the measured information into a form that can be accepted by human senses to achieve the purpose of monitoring, control or analysis. The measurement results can be displayed in analog or digital form, and can be automatically recorded by a recording device or printed out by a printer.

The purpose of measurement is to obtain the true value of the measured value. However, in the actual measurement process, due to various reasons, such as the poor performance of the sensor itself, imperfect measurement methods, external interference and human negligence, the measured value of the measured parameter will be inconsistent with the true value. The degree of inconsistency between the two is expressed as measurement error.

The error is the difference between the measured value and the true value, which reflects the accuracy of the measurement.

With the development of science and technology, people have higher and higher requirements for measurement accuracy. It can be said that the value of measurement work depends on the accuracy of measurement. When the measurement error exceeds a certain limit, the measurement work and the measurement results lose their meaning and may even bring harm to the work. Therefore, the analysis and control of measurement errors have become an important aspect of measuring the level of measurement technology and even the level of science and technology. However, due to the inevitability and universality of the existence of errors, people can only control the errors within the smallest possible range, but cannot completely eliminate them.

On the other hand, the reliability of measurement is also crucial. Different occasions and systems have different requirements for the reliability of measurement results. For example, when the measured value is used as a control signal, attention should be paid to the stability and reliability of the measurement. Therefore, performance indicators such as measurement accuracy and reliability must be linked and adapted to the purpose and requirements of the specific measurement. In this way, the functions and characteristics of the sensor can be better utilized!