南方科技大学知识苑(SUSTech KC): 煤类样品的识别方法、装置、服务器及存储介质

Title	煤类样品的识别方法、装置、服务器及存储介质
Alternative Title	Coal sample recognition method and device, server and storage medium
Author	张进 ; 姚舜禹; 刘双虎; 林森
First Inventor	张进
Original applicant	南方科技大学
First applicant	南方科技大学
Address of First applicant	518000 广东省深圳市南山区西丽学苑大道1088号
Current applicant	南方科技大学
Address of Current applicant	518000 广东省深圳市南山区西丽学苑大道1088号 (广东,深圳,南山区)
First Current Applicant	南方科技大学
Address of First Current Applicant	518000 广东省深圳市南山区西丽学苑大道1088号 (广东,深圳,南山区)
Application Number	CN201911072950.4
Application Date	2019-11-05
Open (Notice) Number	CN110807428A
Date Available	2020-02-18
Status of Patent	实质审查
Legal Date	2020-03-13
Subtype	发明申请
SUSTech Authorship	First
Abstract	本发明实施例公开了一种煤类样品的识别方法、装置、服务器及存储介质。其中，所述方法包括：接收煤类样品反射的电磁波；将电磁波转换成数字信号；对数字信号进行数据处理，以得到二维矩阵；基于二维矩阵和预设间隔时长对煤类样品进行识别，以确定煤类样品的类型。本发明通过采用毫米波雷达发送电磁波到煤类样品，并根据神经网络建立用于识别煤类样品的类型的训练模型，解决了现有技术中采集煤类样品的物理信息受干扰因素大、识别不精确以及识别效率低下的技术问题，达到了快速、精准识别煤类样品且不受外界环境影响的技术效果。
Other Abstract	The embodiment of the invention discloses a coal sample recognition method and device, a server and a storage medium. The method comprises the following steps: receiving electromagnetic waves reflected by a coal sample; converting the electromagnetic wave into a digital signal; performing data processing on the digital signal to obtain a two-dimensional matrix; and identifying the coal sample based on the two-dimensional matrix and a preset interval duration to determine the type of the coal sample. According to the invention, the millimeter-wave radar is used for sending electromagnetic wavesto coal samples; and a training model for identifying the type of the coal sample is established according to the neural network, so that the technical problems of large interference factor, inaccurate recognition and low recognition efficiency of the physical information of the coal sample acquired in the prior art are solved, and the technical effect of quickly and accurately identifying the coal sample without being influenced by the external environment is achieved.
CPC Classification Number	G06Q50/02 ; G06F2218/00 ; G06F2218/12
IPC Classification Number	G06K9/00 ; G06Q50/02
INPADOC Legal Status	（ENTRY INTO FORCE OF REQUEST FOR SUBSTANTIVE EXAMINATION）[2020-03-13][CN]
INPADOC Patent Family Count	1
Extended Patent Family Count	1
Priority date	2019-11-05
Patent Agent	孟金喆
Agency	北京品源专利代理有限公司
URL	[Source Record]
Data Source	PatSnap
Document Type	Patent
Identifier	http://kc.sustech.edu.cn/handle/2SGJ60CL/532941
Department	School of System Design and Intelligent Manufacturing
Recommended Citation GB/T 7714	张进,姚舜禹,刘双虎,等. 煤类样品的识别方法、装置、服务器及存储介质.

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