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公开(公告)号：US20200218243A1
公开(公告)日：2020-07-09
申请号：US16819178
申请日：2020-03-16
发明人： Qiang LIU , Hao ZHANG , Xin CHEN , Kuanyuan LI , Jiewu LENG
IPC分类号： G05B19/418 , G06F13/40
摘要： A parallel control method for an intelligent workshop is provided, comprising the following steps: step A: constructing a parallel control simulation platform; step B: establishing a parallel execution mechanism; and, step C: correcting and optimizing a parallel control system. A parallel control system for an intelligent workshop is provided, comprising: an MES module configured to issue production instructions to unit management modules; the unit management modules configured to convert the received production instructions into machine instructions and synchronously issue the machine instructions to underlying PLCs by a bus control network module, and drive the parallel control simulation platform and a field device to move by a soft PLC and a hard PLC; the bus control network module configured to establish a communication network among the MES module, an SCADA module, an industrial personal computer, physical devices and a whole-line simulation model; and, the SCADA module.
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公开(公告)号：US20210326974A1
公开(公告)日：2021-10-21
申请号：US17134366
申请日：2020-12-26
发明人： Jiewu LENG , Man ZHOU , Yuxuan XIAO , Longzhang LI , Qiang LIU , Haochi PAN , Zihan LI , Zhangyi WANG , Jingyi CAI , Shuer LIN
摘要： The disclosure relates to a blockchain-based outsourcing processing method, including the steps of: transmitting, by a demander, product demand information to a network data server to form a demand order, and transmitting, by a supplier, self-processing capability information to the network data server; performing, by the network data server, matching according to the demand information and the processing capability information, and transmitting the demand order to the supplier; selecting, by the supplier, the demand order to quote; confirming, by the two parties, quotation, establishing transaction and generating a smart contract, and writing the smart contract into a blockchain for storage; and after completing goods delivery, automatically executing account transfer according to the smart contract to complete outsourcing processing transaction.
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3.发明申请公开(公告)号：US20200326692A1
公开(公告)日：2020-10-15
申请号：US16826205
申请日：2020-03-21
发明人： Qiang LIU , Yuan SONG , Jiewu LENG , Guixiang LIN , Hao ZHANG
IPC分类号： G05B19/418 , G05B19/05 , G05B17/02 , G06F30/20 , G06T5/00
摘要： The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.
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4.发明申请公开(公告)号：US20210299827A1
公开(公告)日：2021-09-30
申请号：US17072668
申请日：2020-10-16
发明人： Qiang LIU , Jiewu LENG , Qianyi SU , Ding ZHANG , Ailin YU
IPC分类号： B25B21/00
摘要： Disclosed are an optimization method and a system based on a screwdriving technology in mobile phone manufacturing. The method comprises: acquiring mobile phone machining data; establishing a technological framework; determining initial screwdriving technological parameters and a range of the screwdriving technological parameters by a neural network algorithm; building a digital twin model of a screwdriving device by a digital twin technology and establishing a virtual-real synchronous real-object simulation platform to make a real object and a simulation model run synchronously; integrating the digital twin model of the screwdriving device with each module to synchronize data of the screwdriving device with data of each module; and if screwdriving feedback information is abnormal, optimizing the screwdriving technology according to the range of the parameters. A real-time running state can be tested and technological parameters can be monitored during technological process, and parameters in the screwdriving technological process can be adjusted in time.
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公开(公告)号：US20210273787A1
公开(公告)日：2021-09-02
申请号：US17060168
申请日：2020-10-01
发明人： Jiewu LENG , Wenshun DENG , Qiang LIU , Guolei RUAN , Hu ZHANG , Jianbo JING , Shide YE
摘要： Disclosed is a smart contract and an automatic bargaining method for secure multi-party computation and a device embodies same. A first public key and a first private key are generated based on a homomorphic encryption algorithm in the smart contract, the first public key is sent to a demander and a supplier so that the demander and the supplier encrypt the purchase price and the sale price through the first public key, respectively; after receiving a second public key and an encrypted purchase price sent by the demander and a third public key and an encrypted sale price sent by the supplier, the encrypted sale price and the encrypted purchase price that meet the preset transaction conditions are decrypted.
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公开(公告)号：US20240295873A1
公开(公告)日：2024-09-05
申请号：US18346845
申请日：2023-07-04
发明人： Jiewu LENG , Jiwei GUO , Xiaofeng ZHU , Caiyu XU , Hongye SU , Qiang LIU
IPC分类号： G05B19/418
CPC分类号： G05B19/41865
摘要： A method for constructing a topology reference structure for a production line is provided. The present disclosure is based on historical production line topology data of an enterprise to extract a commonly used topology reference structure for a production line of the enterprise by a computer through a machine learning (ML) algorithm, so as to form a typical production line topology group of the enterprise. The present disclosure can record typical production line characteristics and production habits of the enterprise, realize reuse of a production line structure and production line construction knowledge, reduce the workload of production line designers, and improve the production line construction efficiency of the enterprise. In addition, the present disclosure avoids the interference of designers' subjective decisions to a certain extent, and the reference structure extracted by the computer has high reference value, and is objective, mature, and stable.
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公开(公告)号：US20210182518A1
公开(公告)日：2021-06-17
申请号：US17037630
申请日：2020-09-29
发明人： Jiewu LENG , Man ZHOU , Qiang LIU , Longzhang LI , Jianbo JING , Shide YE , Zhangyi WANG
IPC分类号： G06K7/14 , G06F16/955 , G06F16/953 , G06F21/60 , G06K19/06
摘要： A product anti-counterfeiting method based on a material signature blockchain. The method includes chaining of signature information and product information, QR code generation, query of on-chain information, and offline inspection. Also disclosed is an anti-counterfeiting system of the product anti-counterfeiting method based on a material signature blockchain. The system includes a product material signature module, a module of chaining signature information and product information, a module of generating a QR code, a module of querying on-chain information, and an offline inspecting module. The present invention proposes a product anti-counterfeiting method and a system based on a material signature blockchain according to the above content, which uses the material signature technology to solve the problem of the authenticity of the off-chain product.
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公开(公告)号：US20200249663A1
公开(公告)日：2020-08-06
申请号：US16820638
申请日：2020-03-16
发明人： Qiang LIU , Jiewu LENG , Ding ZHANG , Xin CHEN , Lijun WEI
IPC分类号： G05B19/418
摘要： The present invention relates to the technical field of industrial automation, and in particular to a method and system for quick customized-design of an intelligent workshop. The method comprises the following steps: step A: acquiring design requirement information of a production line, and performing modeling in a simulation system according to the design requirement information; step B: performing action planning of a physical stand-alone device, performing logistics and motion planning of articles being processed, and compiling motion and action control scripts; step C: establishing, by the digital twin technology, a communication channel among a PLC system of the workshop digitization model, a PLC system of a physical workshop device and a host computer; and, step D: outputting a three-dimensional digital twin model as a blueprint for follow-up design and development of the stand-alone device, a control system and an execution system.
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9.发明公开公开(公告)号：US20240280982A1
公开(公告)日：2024-08-22
申请号：US18187698
申请日：2023-03-22
发明人： Jiewu LENG , Xiaofeng ZHU , Caiyu XU , Hongye SU , Qiang LIU
IPC分类号： G05B23/02
CPC分类号： G05B23/0283 , G05B23/0235 , G05B2223/06
摘要： 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.
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公开(公告)号：US20220215246A1
公开(公告)日：2022-07-07
申请号：US17529311
申请日：2021-11-18
发明人： Jiewu LENG , Weinan SHA , Zisheng LIN , Dewen WANG , Man ZHOU , Guolei RUAN , Qiang LIU , Hu ZHANG , Qianyi SU
摘要： 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.
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