METHOD AND SYSTEM FOR PREDICTING PRODUCT ASSEMBLY QUALITY BASED ON LONGITUDINAL UNIFIED LEARNING

    公开(公告)号:US20250036111A1

    公开(公告)日:2025-01-30

    申请号:US18916505

    申请日:2024-10-15

    Abstract: In a method for predicting product assembly quality based on longitudinal unified learning, sample alignment is performed on a data sample of each participant to resolve problems of decentralization, nonuniformity, and scarcity of data; data partitioning is performed by a multi-player parallel structure on product assembly data by using a customized data partitioning policy, layer normalization is firstly performed by an encoder on partitioned data, and feature extraction is performed by a multi-thread attention layer to mine a correlation between each assembly production line inside the participant and assembly data of each device, so that a model feature extraction capability is enhanced; gradient security aggregation is performed on the local model of each participant by using a homomorphic encipherment method of secure multi-player computation, to obtain a global model, so that data of a plurality of sub-factories is merged to co-train a high-precision assembly quality prediction model.

    METHOD FOR CONSTRUCTING TOPOLOGY REFERENCE ARCHITECTURE FOR A PRODUCTION LINE

    公开(公告)号:US20240295873A1

    公开(公告)日:2024-09-05

    申请号:US18346845

    申请日:2023-07-04

    CPC classification number: G05B19/41865

    Abstract: 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.

    VARIABLE PITCH ELECTRONIC COMPONENT MASS TRANSFER APPARATUS AND METHOD

    公开(公告)号:US20210219476A1

    公开(公告)日:2021-07-15

    申请号:US17218367

    申请日:2021-03-31

    Abstract: A variable pitch electronic component mass transfer apparatus is disclosed. A die-bond transfer head is disposed below each of the die-bond brackets. The die-bond connecting rod is provided with die-bond movable nodes arranged equidistantly. Each of the die-bond movable node is hinged to one of the die-bond brackets. An output end of the die-bond linear motor drives the die-bond connecting rod to move telescopically. A flip-chip transfer head is disposed below each of the flip-chip brackets. The flip-chip connecting rod is provided with flip-chip movable nodes arranged equidistantly. Each of the flip-chip movable nodes is hinged to one of the flip-chip brackets. An output end of the flip-chip linear motor drives the flip-chip connecting rod to move telescopically. An output end of the connecting rod rotating motor is connected to the flip-chip rail, and is configured to turn over the flip-chip rail.

    PRODUCT ANTI-COUNTERFEITING METHOD AND SYSTEM BASED ON MATERIAL SIGNATURE BLOCKCHAIN

    公开(公告)号:US20210182518A1

    公开(公告)日:2021-06-17

    申请号:US17037630

    申请日:2020-09-29

    Abstract: 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.

    METHOD AND SYSTEM FOR QUICK CUSTOMIZED-DESIGN OF INTELLIGENT WORKSHOP

    公开(公告)号:US20200249663A1

    公开(公告)日:2020-08-06

    申请号:US16820638

    申请日:2020-03-16

    Abstract: 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.

    SYSTEM AND METHOD FOR MONITORING FAILURE OF ASSEMBLY TOOLING FOR MASS-INDIVIDUALIZED PRODUCTION LINE

    公开(公告)号:US20240280982A1

    公开(公告)日:2024-08-22

    申请号:US18187698

    申请日:2023-03-22

    CPC classification number: G05B23/0283 G05B23/0235 G05B2223/06

    Abstract: 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.

    METHOD AND SYSTEM FOR FORMULATING AN ENERGY-SAVING STRATEGY FOR SEMI-AUTOMATIC PRODUCTION LINE BASED ON MODEL PREDICTIVE CONTROL

    公开(公告)号:US20240255902A1

    公开(公告)日:2024-08-01

    申请号:US18430606

    申请日:2024-02-01

    CPC classification number: G05B13/047 G05B13/048

    Abstract: 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.

    SELF-ADAPTIVE CONFIGURATION METHOD AND SYSTEM FOR LINKAGE RESPONSE OF CONSTRUCTION TYPE, MOTION TYPE, CONTROL TYPE AND OPTIMIZATION TYPE

    公开(公告)号:US20210286325A1

    公开(公告)日:2021-09-16

    申请号:US17072722

    申请日:2020-10-16

    Abstract: 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.

    BLOCKCHAIN-ENABLED EDGE COMPUTING METHOD FOR PRODUCTION SCHEDULING

    公开(公告)号:US20210256438A1

    公开(公告)日:2021-08-19

    申请号:US17060148

    申请日:2020-10-01

    Abstract: 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.

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