A Calculation Method of Platform Level Difference of Water Meter Calibration Device
A technology for calibrating devices and water meters, applied in biological neural network models and other directions, can solve problems such as complex relationships and difficult to establish mathematical models, and achieve the effect of simplifying the calculation process
Active Publication Date: 2022-05-03
FUJIAN METROLOGY INST
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There are many reasons for the stage difference and the relationship is complicated, which makes it difficult to establish a specific mathematical model and optimize it
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[0026] Please refer to Figure 2 As shown, a preferred embodiment of a table difference calculation method of a water meter verification apparatus of the present invention, comprising the following steps:
[0027] Step S1: Establish a wavelet neural network model for the table difference of the water meter verification device;
[0028] Step S2: Establish a wavelet neural network function model for the table difference of the water meter verification device;
[0029] Step S3: Establish a hybrid genetic-quantum particle swarm algorithm to optimize the parameters of the wavelet neural network function model.
[0030] Step S1 specifically: to establish a wavelet neural network model of the water meter verification device table difference, the wavelet neural network has a strong nonlinear approximation capability; the wavelet neural network model comprises an input layer, an implicit layer and an output layer;
[0031] The input layer comprises m input layer neurons u i , the implicit l...
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The present invention provides a method for calculating the stage difference of a water meter verification device, said method comprising the following steps: step S1, establishing a wavelet neural network model of the stage difference of the water meter verification device; step S2, establishing the stage difference of the water meter verification device Wavelet neural network function model; step S3, establishing a hybrid genetic-quantum particle swarm optimization algorithm to optimize the parameters of the wavelet neural network function model. The present invention has the advantages of: overcoming the difficult problem of mathematical modeling of the stage difference through the wavelet neural network, converting the model calculation problem of the stage difference into the weight optimization problem of the wavelet neural network through the hybrid genetic-quantum particle swarm algorithm, simplifying To simplify the calculation process, when the sample is large enough, the stage difference can be approached to 0.
Description
Technical field [0001] The present invention relates to the field of water meter verification, specifically refers to a table difference calculation method of a water meter verification device. Background [0002] The station position difference is defined as the difference between the verification errors of two different water meter verification devices. reference Figure 1 Schematic diagram of the existing water meter verification device, including a workload device 1, a rotameter 2, a valve 3, a workbench 4, a stable pressure water source 5 and a water meter 6, there will be a difference between the indication of the water meter to be verified and the indication of the workload device, that is, the error of the verification of the water meter verification device, the error caused by the verification of the same water meter on different water meter verification devices is different, and the difference between the verification error of the two different water meter verification...
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IPC IPC(8): G06N3/02
CPCG06N3/02
Inventor 雷阳刘鸿滨陈祥金晶苏黎丽
Owner FUJIAN METROLOGY INST