System and method for processing gross error of measuring data based on clustering method

Abstract

The invention discloses a system and a method for processing gross errors of measuring data based on a clustering method, wherein the system comprises a measuring data acquisition module, a measuring database module, a characteristic extraction module, a characteristic base module, a clustering method selection module, a clustering result module, a rule extraction module, a rule base module and areport generation module. The invention comprises the following steps: firstly, acquiring data form an acquisition system; then, selecting a mode for getting rid of the gross errors and using the prior rule or the clustering method to process directly; and finally, displaying processing results. The system analyzes the characteristics of all present measuring data, overcomes the defects of the traditional statistic method, processes data without knowing the distribution of data clusters, and provides the processing procedure of multidimension measuring data at the same time; in addition, the system is also applicable to large-scale data, not only widens the detectable range, but also improves the processing efficiency of gross errors; meanwhile, the system has expandability.

Description

technical field [0001] The invention belongs to the field of measurement data analysis and processing, and in particular relates to a system and method for processing gross errors of measurement data based on a clustering method. Background technique [0002] At present, automatic test systems and various forms of data acquisition systems have been widely used in all walks of life. With the development of computer technology, microelectronics technology, communication technology and information technology, various intelligent systems are more and more widely used in Test systems, traditional electronic measuring instruments will gradually be replaced by intelligent electronic measuring instruments. In an intelligent electronic measurement system, a microprocessor (Microprocessing Unit, referred to as MPU) is generally used to repeatedly sample the measured signal through an analog-to-digital (Alalog / Digital, referred to as A / D) converter, and then the sampled data is Proces...

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Problems solved by technology

[0006] Through the above analysis, it can be found that the traditional method of eliminating gross errors is generally a single-dimensional, small data processing process, that is, a single parameter is measured and analyzed separately, and the coupling relationship between multiple parameters is ignored. That is to say, multi-dimensional data has certain limitations. At the same time, calculation and analysis are required for each measurement process, and no corresponding error judgment rules have been formed. Most of them rely on manual analysis by surveyors, and the processing time complexity is high. At present, the development trend of measuring instruments is strictly inconsistent with the technical level. The current instruments generally belong to the category of intelligent instruments, and have communication interfaces with computers, so the measurement data can be directly input into the computer and processed by the corresponding error analysis system.

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