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A method and system for estimating the quality of ore loaded on a truck

A quality estimation and ore technology, applied in weighing, instruments, biological neural network models, etc., can solve the problems affecting the mining efficiency, measuring equipment and high maintenance costs

Active Publication Date: 2019-08-23
CENT SOUTH UNIV
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Problems solved by technology

[0004] The above-mentioned method of measuring the loading capacity of the truck requires high measurement equipment and maintenance costs, and the truck must be stopped when weighing, which affects the mining efficiency

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  • A method and system for estimating the quality of ore loaded on a truck
  • A method and system for estimating the quality of ore loaded on a truck
  • A method and system for estimating the quality of ore loaded on a truck

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Embodiment Construction

[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0032] Since Lecun proposed convolutional network to recognize handwritten digits in 1998, convolutional neural network has been widely used in image recognition, natural language processing and other fields. In 2006, Hinton proposed the concept of deep learning, that is, deep neural network. Deep learning combines low-level features to form more abstract high-level representation attribute categories or features to discover distributed feature representations of data. With the increase of data and the improvement of computing power, Deep Convolutional Neural Network (DCNN) has greatly improved the recognition effect in various fields.

[0033] The embodiment of the pres...

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Abstract

The invention provides a truck loading ore quality estimation method and system.The descriptions include: Based on a truck -to -car ore image based on the deeper convolutional neural network model to obtain the estimated value of the truck loading ore quality.The present invention provides a truck loading ore quality estimation method and system. The combination of computer vision technology with deep convolutional neural network learning methods is combined to automatically estimate the quality of ore loaded by truck loading, which avoids the impact of human factors on ore measurement. It has traffic efficiencyHigh, the advantages of low measurement costs.

Description

technical field [0001] The invention relates to the field of computer vision measurement, in particular to a method and system for estimating the quality of ore loaded on a truck. Background technique [0002] Ore loading trucks are widely used in the transportation process of large open pit mines. Truck load metering is a daily production work in mines. It is not only beneficial to mine production management and improves the economic benefits of ore mining, but also can effectively avoid vehicle overloading and reduce safety risks. [0003] Due to the huge annual carrying capacity of this type of vehicle, it is obviously necessary to achieve accurate measurement. The quality of ore loaded on trucks is generally measured by the technology of weighbridge or pressure sensor. This measurement method is mainly to use the truck to drive to the weighing area, through the weighbridge or pressure sensor installed on the ground in the weighing area in advance, directly obtained acco...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01G9/00G06N3/04
CPCG01G9/00G06N3/045
Inventor 毕林郭昭宏李亚龙
Owner CENT SOUTH UNIV
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