Household electronic water meter flow metering method based on BP neural network

Abstract

The invention discloses a household electronic water meter flow metering method based on a BP neural network. The method comprises the steps that 1 initialization of a flow metering model is conducted: A, sample data are collected and divided into a learning sample and a test sample; B, the number of nerve cells of an input layer, a hidden layer and an output layer of the BP neural network is determined; C, training parameters of the BP neural network are determined; 2 the learning sample is input into the flow metering model to be trained until errors of the model output data meet a requirement, detection is conducted on the flow metering model through the test sample, and the flow metering model is stored if an examination requirement is met; 3 the flow metering model is transplanted into a controller, and water flow metering is carried out on an electronic water meter. By means of the characteristic of the BP neural network which can carry out fitting on any nonlinear function, high-precision metering of the electronic water meter is achieved, complex flow formula derivation and correction are avoided, and the method is suitable for various household electronic-type water meters.

Description

technical field [0001] The invention relates to a flow measurement method of an electronic water meter, in particular to a flow measurement method of a household electronic water meter based on a BP neural network. Background technique [0002] With the growth of population and the depletion of water resources, high-precision water meters have become an urgent need for urban public utilities. Among them, since the electronic water meter does not contain mechanical moving parts, it has the advantages of high measurement accuracy and wide measurement range. As a smart water meter with high measurement accuracy, it has developed rapidly in the field of household water meters. At present, there are few types of electronic water meters in the domestic market, mainly including: electromagnetic water meters, ultrasonic water meters, jet water meters, etc. [0003] In terms of flow measurement of household electronic water meters, at present, the method of deriving the flow formula...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the shortcomings of the existing household electronic water meter flow measurement scheme that needs complex parameter correction and correction compensation to reduce measurement errors, and provides a household electronic water meter flow measurement method based on BP neural network; the present invention The technical solution provided can be applied to the flow measurement of various household electronic water meters, and can avoid the derivation and correction of complex flow formulas of electronic water meters, further improving the applicability of electronic water meters

Images