A non-electrical signal acquisition and monitoring method

Abstract

The invention discloses a non-electric-quantity signal acquisition monitoring method. The method comprises the following steps: S1, arranging a non-electric-quantity sensor; S2, converting non-electric-quantity signals acquired by the non-electric-quantity sensor into first electric signals, wherein the first electric signals are current signals or voltage signals; S3, obtaining second electric signals, wherein the second electric signals are voltage signals or current signals; S4, performing a product on the first electric signals and the second electric signals to obtain power type signals; S5, performing integration on time through the power type signals to obtain energy type parameters of each time period for storage; and S6, according to the energy type parameters of each time period, determining the non-electric-quantity and monitoring abnormities. According to the invention, non-electric-quantity detection is converted into energy type parameter detection, accumulation amplification of tiny hidden risks can be facilitated, the hidden risks can be timely discovered and subjected to early warning processing at an early and middle stage of the hidden risks, worsening of the hidden risks is prevented, loss is avoided, and risks are reduced.

Description

technical field [0001] The invention relates to the technical field of data measurement, in particular to a non-electrical signal acquisition and monitoring method. Background technique [0002] Measurement is an important means to obtain various physical quantities and describe physical process parameters, so factories and research units need to measure many physical quantities when designing new mechanical structures, improving certain devices, and specifying process, in order to study their regularity, test Whether the design conforms to objective laws. Most of these measurements are non-electrical quantities, such as: mechanical quantities (displacement, vibration acceleration, speed, force, torque, strain, stress, etc.), thermal quantities (temperature, pressure, flow, etc.), chemical quantities (concentration, composition, humidity, pH, etc.). With the development of science and technology, new requirements are put forward for the accuracy and speed of measurement, e...

AI Technical Summary

Problems solved by technology

But at this stage, it is difficult to detect the weak changes of non-electrical signals. On the one hand, the measurement accuracy of non-electrical sensors is limited, and it is difficult to distinguish small signals and their changes. Simply using an amplifier circuit can easily lead to incorrect judgment results due to interference; on the other hand On the one hand, the abnormal parameters reflected by most non-electricity signals are time-varying transient parameters, which vary greatly with time. In the early stage of most hidden dangers, the transient parameters are normal most of the time, and the occurrence of abnormal events has Statistical significance: As time goes by, the frequency of occurrence becomes higher and higher, and the value gradually increases

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