1. Review of Research and Application of Fluid Flow Detection Based on Computer Vision
- Author
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Fengshan Bai, Ding Han, Yanling Lan, Zhong Zhaonan, and Weng Zhi
- Subjects
Measurement method ,Flow (mathematics) ,business.industry ,Computer science ,Fluid dynamics ,Image processing ,Computer vision ,Artificial intelligence ,Production efficiency ,business ,Automation ,Displacement (fluid) ,Flow measurement - Abstract
As an important parameter in various industries such as metal processing, agriculture, and medicine, the measurement of liquid flow can not only help us ensure the quality of production, but also improve production efficiency. In recent years, the development of computer vision has driven the development of flow detection towards intelligence. As a non-contact, fast measurement, high degree of automation, and high-precision measurement method, image processing technology has gradually been applied to various industries. Many researchers have invested a lot of research work on flow measurement. The representative research and solutions are summarized for more than 20 years, and describes the six main methods used in the flow detection of each fluid. It includes the following aspects: obtaining the flow through the liquid level detection; measuring the volume change rate by detecting the contour of the droplet; detecting the flow through a water ruler; adding markers such as tracer particles and tracer fluid to the liquid; using the interframe displacement of the water surface texture method. The article points out that the accuracy of the flow measurement is mainly affected by the liquid environment, and there are still many problems in the selection of light sources and algorithm research, and the true non-contact has not been achieved. At the same time, the future research trends and development directions are given. Through a large number of literature reviews, a review of the detection of fluid flow is provided, which provides many ideas for the next topic of milk flow detection.
- Published
- 2020