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

A BP neural network and flow metering technology, which is applied in the field of flow metering of electronic water meters, achieves the effects of easy transplantation, high practical value, and simple procedures

Inactive Publication Date: 2015-10-07
ANHUI UNIVERSITY OF TECHNOLOGY
View PDF7 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 base

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Household electronic water meter flow metering method based on BP neural network
  • Household electronic water meter flow metering method based on BP neural network
  • Household electronic water meter flow metering method based on BP neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] A kind of household electronic water meter flow measurement method based on BP neural network of the present embodiment adopts figure 1The new differential pressure structure shown measures water pressure and flow signals. Water enters from the water inlet 1 of the novel differential pressure structure, passes through the negative pressure-taking hole 3 and the positive pressure-taking hole 5, and flows out through the water outlet 4. The negative pressure-taking hole 3 is located on the upper pipe wall of the water pipe wall 2, and the opening direction of the pressure-taking hole is perpendicular to the water flow direction; the positive pressure-taking hole 5 is located on the lower pipe wall of the water pipe wall 2, and the pressure-taking hole The direction of opening is parallel to the direction of water flow. A pressure sensor is installed in the negative pressure-taking hole 3 and the positive pressure-taking hole 5, and the pressure sensor adopts a TS12 flat ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01F1/74G06N3/08
Inventor 刘晓东刘扬方炜
Owner ANHUI UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products