Parameter estimation and fitting method for collecting supporting point frequency in vibrating wire mode

Abstract

The invention discloses a parameter estimation and fitting method for collecting supporting point frequency in a vibrating wire mode. The method comprises the following steps that a stepping value is set, and collecting supporting points are measured to obtain a plurality of sets of frequency values; the frequency values obtained through measurement are calculated, and an average frequency value and a variance estimator are obtained; a frequency fitting function is constructed, the minimum value of a mean square error is calculated, and a fitting frequency functional equation is determined; a mean square error is calculated, a quadratic equation of the frequency fitting function is obtained through fitting, a correlation coefficient and mean absolute deviation are obtained through the quadratic equation of the frequency fitting function, and a frequency fitting curve is constructed; compared with the frequency fitting curve, whether errors exist in the frequency values of the collecting supporting points under the current stepping value or not is analyzed. The precision of fitting can be further improved, the fitting curve is generated, the frequency values can be corrected in time, and therefore the method can be used in the process of determining the parameters of the collecting supporting points of a communication network well.

Description

technical field [0001] The invention relates to a parameter estimation and fitting method for vibrating wire acquisition fulcrum frequency, which belongs to the technical field of communication and sensing technology. Background technique [0002] Sensor network (WSN) is a network system that integrates distributed data collection, transmission and processing technologies. Widespread attention. The Internet of Things perceives the entire material world through various sensor nodes and sensor networks composed of them all over the corners and objects. [0003] With the development of sensor network technology, its network application is composed of a large number of sensor network nodes. In the process of information perception, it is not feasible to use each node to transmit data to the aggregation node separately. Fusion with smart technology for processing. Because there is a large amount of redundant data in the network, communication bandwidth and energy resources wil...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, to provide a method for parameter estimation and fitting of the frequency of the fulcrum collected by vibrating wires, and to solve the inaccurate measurement of the frequency obtained by the existing fulcrum, which cannot be automatically corrected. The problem of estimating and fitting the measured parameters

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