Siemens Aktiengesellschaft

Siemens Ltd., China

Shao Tu Jia

Wen Chao Zou

Hai Feng Wang

Zhen Hua Zhou

Tao Fei

Various embodiments of the teachings herein include industrial network-based codeless tracking analytics methods for industrial software. Some methods include: identifying an industrial intranet topology through detection, and generating a configuration map of the industrial field according to the topology and/or an application program running list of the software; injecting a sidecar agent for codeless runtime tracking to an edge device of a target field device in the industrial field according to the configuration map, and performing data synchronization for the edge device and the sidecar agent corresponding to the edge device, at least one tracking point existing between the target edge device and the sidecar agent corresponding to the target edge device, and the target edge device running at least one application program of the industrial software; and obtaining analysis data from the tracking point when the target edge device runs an application program therein, to analyze the industrial software.

Industrial network-based codeless tracking analytics method and apparatus for industrial software

A point cloud model reconstruction method, apparatus, and system are disclosed. In an embodiment, the method includes randomly selecting four non-coplanar reconstruction points in a point cloud model; iteratively selecting other reconstruction points successively until a reconstruction condition is met, and reconstructing the point cloud model based on all reconstruction points. A reduction degree of a reconstructed point cloud model is: Reward=&#x2212;k&#xb7;(PointNum&#x2212;4)+g&#xb7;VolRate, where PointNum represents a number of current selected reconstruction points, VolRate represents a ratio of a volume of a solid shape, k represents a proportion of the number of the selected points, and g represents a proportion of the volume ratio. The reconstruction method further includes adjusting a ratio of g to k based on user requirements to adjust the reconstruction condition. The mechanism provided in an embodiment can improve resolution of a reconstructed point cloud model and control quality of points in the reconstructed point cloud model.

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Fuxin, China

Shao Tu Jia