Guangdong University of Technology

Other

Hon Hai Precision Industry Co., Ltd.

Tencent Technology (shenzhen) Company Limited

Hytera Communications Corporation Limited

Samsung Electronics Co., Ltd.

Zte Corporation

Toray Industries, Inc.

Shenzhen University

Qiang Liu

Xin Chen

Jiewu Leng

Lijun Wei

Duxi Yan

Jian Gao

Hao Zhang

Ding Zhang

Yun Chen

Xun Chen

Dachuang Shi

Man Zhou

Guolei Ruan

Ching-Ping Wong

Chengqiang Cui

Hui Tang

Hu Zhang

Caiyu Xu

Zhihang Lin

Shaowen Yao

Lei Jiang

Mingbao Zhou

Wenjun Liu

Shunji Kono

Xiaohua Zhang

Jianhui Zhou

Ping Hu

River Yang

Kai Peng

Xing Hu

Masashi Matsuda

Junyu Long

Chen Wang

Yuan Song

Junqi Zhang

Haibo Zhu

Kanghong Wangsun

Ruijie Zhang

Yihui Hong

Hongcheng Li

Shenghui Zhang

Tai Zhang

Dewen Wang

Long Li

Changsheng Zhao

Ailin Yu

Zhishen Liao

Weifeng Zhao

Rongli Zhao

Xiaofeng Zhu

Zhenqiang Shi

Hongye Su

Fangming Liao

Ping Fu

Xinke Liu

Jiazhu He

Youming Lv

Wenjie Yu

Shun Han

Peijiang Cao

Wenshun Deng

Yuxiang Zeng

Jianbo Jing

Jin Liao

Guixiang Lin

Zisheng Lin

Fang Jia

Qianyi Su

Yuxuan Xiao

Deliang Zhu

Shuang Zhou

Libin Lin

Rongjie Shao

Jiongyu Chen

Xianwen Tang

Baihai Su

Alan Zhou

Fen Ouyang

Ting Liu

Jiafeng Yang

Shudong Sun

Yougui Yang

Ying Wai Julian Chan

Haitao Yang

Weinan Sha

Shide Ye

Kuanyuan Li

A system and method for monitoring the failure of assembly tooling for a mass-individualized production line are provided. The system realizes real-time monitoring and prediction of the remaining service life of the assembly tooling in the mass-individualized production line through the cooperation of a manufacturing execution system (MES), a supervisory control and data acquisition (SCADA) system, an assembly tooling failure prediction system, a controller network, and an assembly line. When the remaining service life reaches a certain threshold, the system sends an early warning to an operator, and provides decision support for the operator to replace the assembly tooling. The assembly tooling failure prediction system is built with an assembly tooling failure prediction model for predicting the remaining service life of the assembly tooling in real time, which avoids the influence of human factors and greatly improves the prediction accuracy.

System and method for monitoring failure of assembly tooling for mass- individualized production line

An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized WIP product is substituted into the optimization objective function, and the optimization objective function is solved to obtain an optimal sequence, in which a first set of values is output as optimization result. Whether all WIP products have been optimized is determined, and if yes, an energy-saving strategy is generated and used to control the automated device, otherwise, the optimization result is treated as disturbance information to be incorporated into the modeling. An energy-saving strategy formulation system is also provided.

Method and system for formulating an energy-saving strategy for semi-automatic production line based on model predictive control

A cutting stock method for a rectangular sheet with defects includes: acquiring information of the rectangular defective sheet, including dimension information of the rectangular sheet and target blocks, and location information of the defects; acquiring a cutting position discrete set of the rectangular sheet; cutting the rectangular sheet according to the cutting position discrete set into a plurality of target blocks; calculating a sum of values of the target blocks, and selecting an optimal cutting solution with the largest sum of values; and cutting the rectangular sheet according to the optimal cutting solution.

System and method for cutting rectangular sheet stock with defects

A packing method for a defective sheet based on branch-and-cut algorithm, including: acquiring sheet information, where the sheet information includes size information of the defect sheet, size information of a target block and position information of a defect; based on actual cutting requirements, establishing constraints; and establishing a primal problem model according to the constraints; converting the primal problem model into a relaxed problem model; checking and verifying the obtained solution by x-check method to determine whether the obtained solution meets the constraints of the primal problem model; outputting the optimal solution to obtain an optimal cutting plan that meets the actual cutting requirements; and cutting the defective sheet according to the optimal cutting plan. A system for implement the packing method is also provided.

Packing method and system for defective sheet based on branch-and-cut algorithm

A compliant mechanical system for Mini/Micro chip mass transfer and packaging comprises a flexure-based continuous ejector pin mechanism including a drive support plate, a mounting base, first thorn die attach drive devices, second thorn die attach drive devices, first flexible hinges, second flexible hinges, and a pricking pin. The first thorn die attach drive devices and the second thorn die attach drive devices are mounted on the drive support plate. A drive end of the first thorn die attach drive device horizontally passes rightward through the first flexible hinge at a corresponding position; a drive end of the second thorn die attach drive device horizontally passes leftward through the first flexible hinge at a corresponding position; and the mounting base is hinged to the drive ends of the two thorn die attach drive devices through the second flexible hinges.

Compliant mechanical system for mini/micro chip mass transfer and packaging

A laser cutting method for irregular parts based on machine vision includes: (A) obtaining and numbering vertices of all parts on the layout diagram; (B) planning a part vertex set and an empty cutting path vertex set; (C) obtaining a shortest empty cutting path and the empty cutting path vertex set with the shortest empty cutting path; (D) cutting the parts one by one according to an order obtained by the CPLEX algorithm. This application further provides a laser cutting system.

Laser cutting method and system for irregular parts based on machine vision

A flexure-based continuous ejector pin mechanism for Mini/Micro chip mass transfer includes a first drive frame, a second drive frame, a mounting base, a first thorn die attach drive device, a second thorn die attach drive device, first flexible hinges, second flexible hinges, and a pricking pin. The second drive frame and the first drive frame are connected through the first flexible hinge. The mounting base is connected to a left side and a right side of the second drive frame through the second flexible hinges. Compared with a laser transfer technology, the flexible movable thorn die attach device has lower cost and higher accuracy; compared with a vacuum nozzle transfer technology, the flexible movable thorn die attach device has higher transfer efficiency and quality; and compared with a conventional thorn die attach device, the flexible movable thorn die attach device has higher transfer efficiency and precision.

Flexure-based continuous ejector pin mechanism for mini/micro chip mass transfer

A dynamic optimization method for procurement specifications of BEF raw materials includes: obtaining finished product data; obtaining an initial feasible raw material size set; mapping the initial feasible raw material size set in length and width directions to obtain a complete feasible raw material size set; filtering an unreasonable raw material size out of the complete feasible raw material size set to obtain a final feasible raw material size set; and determining whether a scale of the final feasible raw material size set is larger than a threshold, if not, building and solving an integer programming model, and outputting results; and if yes, batchwise processing the final feasible raw material size set to obtain multiple subsets, and building an integer programming model for each subset, and solving the integer programming model, and outputting results. A dynamic optimization system of BEF is further provided.

Dynamic optimization method and system for procurement specifications of brightness enhancement film (BEF) raw materials

A group dispatching method for a trunking communication system, a communication system and a storage medium are provided. The system comprises an interconnection server, a system server and at least one voice dispatch console. The method comprises: establishing a call connection between the first communication terminal and the interconnection server, selecting an idle voice dispatch console as a service access point, transmitting a second call establishment message to the idle voice dispatch console wherein the first call establishment message corresponds to a group call initiated by the first communication terminal to a target group, establishing a call connection between the idle voice dispatch console and the interconnection server when the idle voice dispatch console receives the second call establishment message, and the idle voice dispatch console establishing a call connection to the target group through the system server to receive and transmit voice.

Group dispatching method for a trunking communication system, communication system and storage medium

The disclosure discloses an inhomogeneous sample equalization method and system for a product assembly process. The method includes the following steps of: A: calculating a similarity among different samples; B: constructing a fuzzy compatibility matrix S for representing the similarity among all the samples, and constructing a fuzzy compatibility space X with different granule layers through the fuzzy compatibility matrix S; C: based on a granular calculating mode, screening out a granule layer with a maximum comprehensive value of an information increment and the similarity among the samples from the fuzzy compatible space X to serve as an optimal granule layer; and D: carrying out equalization processing on the sample of the optimal granule layer.

Inhomogeneous sample equalization method and system for product assembly process

An electronic device according to an embodiment includes a camera movement assembly configured to move a camera module between the inside and the outside of a housing. The camera movement assembly includes a camera connection portion which has a connection part connected to the camera module and is capable of moving between a first position at which the camera module is stored in the housing and a second position at which the camera module protrudes outs of the housing, a push portion which is driven to push the camera connection portion to be moved from the first position to the second position when the camera connection portion is at the first position and is driven to be separated from the camera connection portion when the camera connection portion is at the second position, a restoring member which provides a restoration force to the camera connection portion to return the camera connection portion from the second position to the first position, and a locking portion which restricts a position movement of the camera connection portion when the camera connection portion is at the second position. When the camera module protrudes out of the housing, the camera connection portion is maintained by the locking portion at the second position, and a space may exist between the camera connection portion and the push portion.

Electronic device and camera movement assembly

A method for constructing and training a Decentralized Migration Diagram Neutral Network (DMDNN) model for a production process, including: determining a production task input management node, distributed management nodes and a granularity of each of the distributed management nodes, and constructing a production system network; constructing network calculation nodes on each of the distributed management nodes; constructing and training a DMDNN model; and applying the trained DMDNN model in management and control of the production process.

Method for constructing and training decentralized migration diagram neural network model for production process

Disclosed is a blockchain-enabled edge computing method for production scheduling. The method includes modeling a smart contract between a device and a manufacturing unit, and using the smart contract to perform production scheduling on the device inside the manufacturing unit; one of the manufacturing units includes multiple devices; mounting each device on the blockchain operating node, the MES issues production instructions to the nodes of each manufacturing unit, at the same time, the nodes acquire production data of the device through multiple data sources of the device, the operating state data and process parameter data of each device are acquired in real time, and the data is directly chained from the device level; according to the production instructions and device parameters obtained by the manufacturing unit, using edge computing to dynamically adjust the device load, efficiency, and utilization.

Blockchain-enabled edge computing method for production scheduling

A chip layout method based on a minimum total wire length, includes: initializing a total wire length to a preset value, initializing a number of iterations, randomly generating a sequence pair to represent a positional relationship between rectangular circuit modules, inputting the sequence pair to a model, and solving to obtain a sequence pair having a minimum wire length within the number of iterations; changing a field operator of the sequence pair to obtain a new one, inputting the new sequence pair to the model, retaining, if an obtained total wire length is less than the original total wire length, the new sequence pair, or otherwise, abandoning the new sequence pair; repeating the above operation till the number of iterations is reached; and outputting a minimum total wire length, and coordinates of each rectangular circuit module to obtain the chip layout based on the minimum total wire length.

Chip layout method based on minimum total wire length

Disclosed are a self-adaptive configuration method and system for linkage response of a construction type, a motion type, a control type and an optimization type. The disclosure aims to provide the self-adaptive configuration method and system for linkage response of quick adjustment and design of a workshop production line. The self-adaptive configuration method comprises the following steps of step A: construction type configuration; step B: motion type design; step C: control type design; and step D: optimization type evolution, wherein the step D comprises first-level iterative optimization, second-level iterative optimization and third-level iterative optimization. A closed optimization cycle is formed by the first-level iterative optimization, the second-level iterative optimization and the third-level iterative optimization jointly, and the multi-level iterative optimization is performed on the production line linkage design framework, so that the workshop production line can be self-adaptively and quickly adjusted and designed.

Self-adaptive configuration method and system for linkage response of construction type, motion type, control type and optimization type

Growing community of inventors

Guangzhou, China

Qiang Liu