Patents Assigned to CLOUD COMPUTING CENTER CHINESE ACADEMY OF SCIENCES
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Patent number: 11467562Abstract: An online monitoring device of 3D printing equipment includes a signal collection module, a signal processing module, a feature extraction module, a monitoring module and a knowledge base module. A vibration signal of a preset component of the 3D printing equipment is collected by a vibration sensor. The collected vibration signal of each preset component is converted from an analog signal to a digital signal and the spectrum characteristics are extracted. Based on the spectrum characteristics of each preset component, the operation state type of the preset component is obtained by a comparative analysis model. The knowledge base module is configured to store newly added samples and initial samples of the 3D printing equipment. The initial samples include spectrum characteristic information and corresponding fault category of known faults, and the newly added samples include spectrum characteristic information and corresponding fault category of new faults.Type: GrantFiled: July 7, 2020Date of Patent: October 11, 2022Assignees: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES, CLOUD COMPUTING CENTER CHINESE ACADEMY OF SCIENCES, DongGuan, Guangdong (CN)Inventors: Gang Xiong, Jiawei Liao, Zhen Shen, Xiuqin Shang, Chao Guo, Jun Yan, Can Luo, Xiao Wang, Feiyue Wang
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Publication number: 20210011457Abstract: An online monitoring device of 3D printing equipment includes a signal collection module, a signal processing module, a feature extraction module, a monitoring module and a knowledge base module. A vibration signal of a preset component of the 3D printing equipment is collected by a vibration sensor. The collected vibration signal of each preset component is converted from an analog signal to a digital signal and the spectrum characteristics are extracted. Based on the spectrum characteristics of each preset component, the operation state type of the preset component is obtained by a comparative analysis model. The knowledge base module is configured to store newly added samples and initial samples of the 3D printing equipment. The initial samples include spectrum characteristic information and corresponding fault category of known faults, and the newly added samples include spectrum characteristic information and corresponding fault category of new faults.Type: ApplicationFiled: July 7, 2020Publication date: January 14, 2021Applicants: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES, CLOUD COMPUTING CENTER CHINESE ACADEMY OF SCIENCES, DongGuan, Guangdong (CN)Inventors: Gang XIONG, Jiawei LIAO, Zhen SHEN, Xiuqin SHANG, Chao GUO, Jun YAN, Can LUO, Xiao WANG, Feiyue WANG
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Patent number: 10500778Abstract: The present invention relates to a technical field of 3D printing, and more particularly to a 3D printer spray nozzle structure and a method thereof for controlling speed and precision. According to the present invention, a feeding pipeline is embedded in an external shell, the feeding pipeline and an extruder are coaxially connected; the extruder is driven by a driving device, so as to rotate relative to the feeding pipeline. A rotation angle of the extruder relative to the feeding pipeline is controlled by rotation of a motor, for controlling a filament area actually sprayed by the extrude, in such a manner that printing speed and precision is controlled for suiting different requirements of different printing area. The present invention controls the printing speed and precision, for improving overall printing speed with precision requirements satisfied, and is applicable to 3D printer spray nozzle structure and controlling.Type: GrantFiled: July 24, 2018Date of Patent: December 10, 2019Assignee: CLOUD COMPUTING CENTER CHINESE ACADEMY OF SCIENCESInventors: Zhen Shen, Gang Xiong, Xue Liu, Fei-Yue Wang
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Patent number: 10046500Abstract: The present invention relates to a technical field of 3D printing, and more particularly to a 3D printer spray nozzle structure and a method thereof for controlling speed and precision. According to the present invention, a feeding pipeline is embedded in an external shell, the feeding pipeline and an extruder are coaxially connected; the extruder is driven by a driving device, so as to rotate relative to the feeding pipeline. A rotation angle of the extruder relative to the feeding pipeline is controlled by rotation of a motor, for controlling a filament area actually sprayed by the extrude, in such a manner that printing speed and precision is controlled for suiting different requirements of different printing area. The present invention controls the printing speed and precision, for improving overall printing speed with precision requirements satisfied, and is applicable to 3D printer spray nozzle structure and controlling.Type: GrantFiled: July 18, 2014Date of Patent: August 14, 2018Assignee: CLOUD COMPUTING CENTER CHINESE ACADEMY OF SCIENCESInventors: Zhen Shen, Xue Liu, Gang Xiong, Feiyue Wang
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Patent number: 10016929Abstract: A 3D printer spray nozzle includes a feeding pipeline, an extruder located under the feeding pipeline, an external housing and a driving device; wherein the feeding pipeline is embedded in the external housing, the extruder is coaxially fixed under the feeding pipeline, a center of gravity of a cross section area of an inner channel of the feeding pipeline and that of the extruder are located on a same axis which is perpendicular to the cross section area of the inner channel of the feeding pipeline and that of the extruder, the feeding pipeline is driven by the driving device to rotate around the axis relative to the extruder, thereby aiming at different rotation angles, widths of extruding forming areas of the extruder at a same direction are different so as to adjust a cross section area of a sprayed filament.Type: GrantFiled: July 18, 2014Date of Patent: July 10, 2018Assignee: CLOUD COMPUTING CENTER CHINESE ACADEMY OF SCIENCESInventors: Feiyue Wang, Gang Xiong, Zhen Shen, Xue Liu
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Patent number: 9704060Abstract: The present invention relates to a technical field of traffic monitoring, and more particularly to a method for detecting traffic violation. The present invention includes firstly localizing vehicle salient parts through salient features including vehicle license numbers and vehicle rear lights, and representing a vehicle with the vehicle salient parts, then tracking the vehicle with a Kalman filter based on the vehicle salient parts, and finally detecting vehicle violation through moving trajectory analysis and setting violating detecting areas. The present invention solves vehicle violation detection problems in complex engineering application conditions such as illumination change and detection noise, and is suitable for city traffic management under complex conditions.Type: GrantFiled: December 25, 2013Date of Patent: July 11, 2017Assignees: CLOUD COMPUTING CENTER CHINESE ACADEMY OF SCIENCES, INSTITUTE OF AUTOMATION CHINESE ACADEMY OF SCIENCESInventors: Feiyue Wang, Bin Tian, Ye Li, Bo Li, Kunfeng Wang, Gang Xiong, Fenghua Zhu, Bin Hu
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Patent number: 9679045Abstract: An establishing method of a knowledge library engine based on emergency management includes steps of extracting relevant data from unstructured text information, filtering out unwanted data and improving a structure of the relevant data, so as to ensure homogeneity of the relevant data; structurally analyzing a text content of obtained information, extracting a feature thereof and storing the feature in the feature library as a key word of a knowledge; and processing the obtained information with the automatic word segmentation module, then classifying a result according to an information classification standard, and establishing an association of the knowledge and information classification. A querying method of the knowledge library engine based on emergency management includes steps of: understanding semanteme, understanding knowledge, and querying knowledge.Type: GrantFiled: December 27, 2012Date of Patent: June 13, 2017Assignee: CLOUD COMPUTING CENTER CHINESE ACADEMY OF SCIENCESInventors: Zhongtang He, Xinan Li, Fengwei Zhao, Zhiyong Li