Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Radar speed measurement AI algorithm

A technology of radar speed measurement and radar speed measurement instrument, which is used in measurement devices, fluid speed measurement, radio wave measurement systems, etc., can solve the problems of error, high volatility of accuracy and low reflectivity error, so as to reduce errors and improve accuracy. The effect of improving the accuracy and

Active Publication Date: 2020-09-22
CHENGDU WANJIANGGANGLI TECH
View PDF16 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The radar current meter uses the principle of ultra-high frequency radar to test the moving speed of dynamic objects to test the water flow velocity of rivers and channels, so as to obtain the corresponding fluid flow. The existing technology is used to measure channels and rivers under fixed conditions. When the water level height and the flow rate are related, the flow data is generally obtained through the water level height during measurement; however, because the radar test liquid flow velocity or involves liquid fluctuations during the liquid flow process, and the radar test uses point velocity measurement, The accuracy of the radar test flow rate has a high error due to the high fluctuation and low reflectivity of the fluid, even reaching an error of 20%.

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
  • Radar speed measurement AI algorithm
  • Radar speed measurement AI algorithm
  • Radar speed measurement AI algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Example 1, see figure 1 , figure 2 , a radar speed measurement AI algorithm, comprising the following steps:

[0041] S1. Data acquisition: the data collected by the radar velocimeter is related to the flow velocity of a certain range of the canal surface or the river surface. The sampled data includes the measurement distance R, the fluid cross-sectional streamline velocity of the sampling point, and the scanning angle θ of the sampling point. According to the measurement distance R, the calculation formula is: Reversely calculate the distance between the installation position of the radar speedometer and the current liquid surface, and measure the streamline velocity of a certain fluid section corresponding to the installation height through the radar speedometer;

[0042] S2. Characteristic data extraction: Carry out correlation and characteristic extraction of a large amount of sampled data, and find the data with the highest degree of correlation; corresponding...

Embodiment 2

[0053] Embodiment 2. This embodiment is further optimized on the basis of Embodiment 1. After the above steps S1 to S5, the radar speedometer collects the streamline velocity of a certain fluid section, and extracts the characteristic data, data preprocessing, The fluid model is solved and optimized, and the real flow data is obtained. In order to evaluate the accuracy of the obtained flow data, before outputting the flow data, the evaluation is carried out by evaluating the flow data of the model. The evaluation model formula is:

[0054] or

[0055]

[0056] f is a function, sigma means multinomial addition, H or Q is an unknown number, H i or Q i It is to find the maximum value of this polynomial through the current two values ​​calculated by the flow model in step S5, and obtain an H value or Q value to obtain the preprocessing value of the evaluation model. This is the measured data without other interference factors a theoretical value of . The evaluation model i...

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 radar speed measurement AI algorithm. The radar speed measurement AI algorithm comprises six steps, namely, data acquisition, feature data extraction, data preprocessing, flow model establishment, flow model optimization and flow data output. The flow data output after the liquid level speed actually measured by the radar is optimized and calculated through the flow model, errors caused by liquid level fluctuation and signal strength influences are reduced, and the accuracy of the flow data output by a radar tachymeter is improved. Meanwhile, the established evaluation model can further evaluate the accuracy of the output flow data, in the process of repeatedly resolving and evaluating the flow data, the accuracy of the flow data of the radar tachymeter can be gradually improved, and flow metering data with small errors can be output.

Description

technical field [0001] The invention relates to the technical field of water conservancy measurement, in particular to a speed measuring method using a radar speed measuring instrument. Background technique [0002] There are many rivers in our country, and the comprehensive utilization of rivers plays an important role in the national economic and social development. At present, radar is mostly used in water conservancy measurement technology to detect the surface velocity of water flow. Microwave radar is not affected by temperature gradient, pressure, air density, wind, etc. or other meteorological environment conditions, it can work stably around the clock; at the same time, the radar can be set to different transmission frequencies, which can effectively avoid the mutual interference of radar beams of adjacent products during multi-point close-range detection; microwave radar The characteristics make it widely used in the field of water conservancy measurement technolog...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/58G01F1/66G01P5/00
CPCG01S13/589G01F1/66G01P5/00
Inventor 邵林贺新肖廷亭姜勇丁胜韩君罗传朝杨琴
Owner CHENGDU WANJIANGGANGLI TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com