Other

Guangdong University of Technology

Man Zhou

Qiang Liu

Jiewu Leng

Duxi Yan

Guolei Ruan

Lijun Wei

Ding Zhang

Hu Zhang

Caiyu Xu

Qianyi Su

Yougui Yang

Dewen Wang

Zisheng Lin

Wenshun Deng

Yuxuan Xiao

Weinan Sha

Jiongyu Chen

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

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 an approximate physical simulation integrated debugging method based on digital twinning, which includes the following steps of: a production line simulation model building step, a twinning step, a system debugging step, a hardware-in-the-loop debugging step, and a device-in-the-loop debugging step. The approximate physical simulation integrated debugging system based on digital twinning includes a production line simulation model building module, a twinning module, a system debugging module, a hardware-in-the-loop debugging module, and a device-in-the-loop debugging module. According to the approximate physical simulation integrated debugging method and system based on digital twinning, since a local component twin after being successfully debugged is replaced with an entity component, when a problem occurs after replacement, only the local component twin needs to be debugged and optimized again, thus saving time and reducing cost.

Approximate physical simulation integrated debugging method and system based on digital twinning

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Guangzhou, China

Man Zhou