An embedded mineral flotation foam 3D image monitoring device based on arm+kinect

Abstract

The invention relates to an embedded mineral flotation froth three-dimensional image monitoring device based on an ARM (Advanced RISC Machine) and a Kinect. The device is composed of an ARM image processing board, the Kinect, a power module, a high-frequency light source and a protective cover. The power module provides required voltages for other modules; the protective cover isolates each module from the complex condition of an industrial site, and provides a protection function; the Kinect acquires three-dimensional video data under the irradiation of the high-frequency light source and transmits the three-dimensional video data to the ARM image processing board; three-dimensional image parameters are calculated by an algorithm designed on the ARM board, then current working condition parameters and dose suggested values are calculated, meanwhile, the video is compressed, and the parameters and the video are transmitted to a far-end PC (Personal Computer) by a network cable for displaying and providing a reference for workers. The device realizes on-line monitoring, real-time processing and optimization control of the froth flotation process.

Description

technical field [0001] The invention relates to an embedded mineral flotation foam three-dimensional image monitoring device based on ARM+Kinect, which is used for distributed collection of visual information of three-dimensional images of minerals in the field of mineral flotation, and for color partial images in three-dimensional images. Perform local real-time processing to avoid network transmission of large data volume images, and transmit information such as flotation working conditions and dosing amount to the monitoring host through Ethernet for centralized control. At the same time, it has small and low power consumption of various peripheral devices High performance monitoring device. Background technique [0002] The flotation method is the most widely used mineral processing method in the process of mineral production and processing. It uses the hydrophobic characteristics of the mineral itself or the hydrophobic characteristics obtained after the complex physica...

AI Technical Summary

Problems solved by technology

The monitoring system based on PC architecture has the characteristics of high versatility and strong expandability, but at the same time, it inevitably has long software development cycle, low software reuse rate, high system hardware cost, poor anti-environmental interference ability, poor mobility, etc. defect

Moreover, since PCs run the general-purpose Windows operating system, more system resources are consumed in system services, resulting in poor system specificity and poor real-time processing, thus affecting the overall operating efficiency of the system

In addition, PCs are bulky and have poor mobility, which makes it difficult to realize the distributed monitoring of the flotation process in the factory

[0004] At present, the monitoring system of ordinary embedded architecture mostly uses industrial cameras to obtain two-dimensional image data of foam. The amount of two-dimensional data information is limited, and it is impossible to calculate the current height of the foam surface. It is difficult to obtain important parameters such as sinking and sinking. low precision

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