Abnormal data filtration method for interference elimination of automatic data acquisition system

Abstract

The invention discloses an abnormal data filtration method for interference elimination of an automatic data acquisition system. The method is characterized in that: the automatic data acquisition system comprises four basic parts, namely a sensor network, a lower computer, an upper computer and a communication network; abnormal data is judged and rejected on the basis of the upper computer; a data acquisition plan is set and initiated by the upper computer; data acquired by a data acquisition module is transmitted to the upper computer in real time, and the upper computer filters the abnormal data; the abnormal data is filtered by a method of comparing a predicted value with an actually-measured value obtained by trend analysis; and factors in varied aspects of the actually-measured value of acquired data, the predicted value, variable quantity and variable direction are taken into comprehensive consideration. By adoption of the method, the automatic data acquisition system can effectively and automatically realize the filtration of interfered data and greatly reduce influence of noisy data on analysis.

Description

technical field [0001] The present invention relates to an automatic data acquisition system based on dynamic coefficient exponential smoothing method, in particular discloses an abnormal data filtering method for eliminating interference in an automatic data acquisition system (including data acquisition, network transmission, and data processing), which is mainly used in automatic monitoring field. Background technique [0002] The automatic data acquisition system uses sensor technology, information technology, and network technology to make data acquisition alive in the traditional sense, and truly realizes real-time, remote, automatic, and real data acquisition. The networking industry brings huge development opportunities. [0003] However, multiple links of the automatic data acquisition system, especially the sensor link and data acquisition link, are susceptible to interference from various external environments on the job site, including electric fields, magnetic ...

AI Technical Summary

Problems solved by technology

[0003] However, multiple links of the automatic data acquisition system, especially the sensor link and data acquisition link, are susceptible to interference from various external environments on the job site, including electric fields, magnetic fields, vibration, temperature, humidity, etc., resulting in abnormal data, that is, noise

These noisy data cannot truly reflect the information we need to know on the spot

If these noisy data are used for field data analysis without filtering, it will cause great trouble

This is also the problem that most data acquisition systems are facing now, and this problem also creates obstacles for the application and promotion of automatic data acquisition systems

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