《矿产分类机设计》

What it does

Through automation technology, we can quickly identify, sort and classify different minerals (such as metal ores, non-metallic ores, coal, etc.), improve resource utilization and reduce labor costs.

Your inspiration

The inspiration came from the university I attended, which is a well-known school for its mining majors. Mining accidents often happen in society, which means that a safe and efficient equipment is needed.

How it works

Based on the color and material differences of the materials, photoelectric detection and image processing are used to achieve material sorting and extraction. The ore raw materials are evenly fed into the machine through a vibrating feeder, and the ore particles are evenly spread in the color sorting area through a well-designed conveyor belt system. Relying on AI photoelectric sorting machine technology, artificial intelligence, deep learning, big data and image visual enhancement technology are used for ore identification and sorting.

Design process

First, we conduct market research and collect a large amount of information about minerals for design analysis to achieve a design that better meets market demand, so that the design is no longer high-end, but more serving people. Secondly, we collect the equipment available on the market and draw a draft based on the current design direction to better meet the appearance design required by the current market. Then, we combine AI to make a secondary change to the appearance and then decide on the final draft. Finally, we model, select safe and energy-saving materials, render the appearance, and get the finished product.

How it is different

The modular layout (e.g., independent operation of feeding, sorting, and discharging modules) facilitates rapid adjustment of production capacity or replacement of components to meet production needs of different scales. In order to achieve efficient production, the feeding speed is controlled by the frequency converter, and the sorting parameters are dynamically adjusted in combination with real-time monitoring data. High-resolution CCD cameras, X-ray detectors, near-infrared spectrometers, etc. are integrated to achieve multi-dimensional feature extraction. Density information is obtained through X-ray transmission, and color differences are identified by combining RGB images to comprehensively judge mineral properties. Redundant configuration is adopted, combined with real-time feedback such as vibration monitoring and temperature sensing, to provide early warning of potential faults.

Future plans

Make mineral mining safer, more stable and more efficient, make resource utilization more efficient, avoid waste, make ecological resources better, increase revenue and reduce expenditure, and ensure that resource utilization no longer destroys the green ecology.

Awards