列車月台的幕門的故障風險預測系統

HKSAR

32023068412.0

本申請公開了一種列車月台的幕門的故障風險預測系統，包括設置在幕門的多個預定位置的、用於採集實時數據的多個感測器；位於所述感測器附近的閘道器，用於將所述感測器採集的數據傳送到邊緣設備;所述邊緣設備，用於對所述閘道器傳來的數據進行處理，並將處理過的數據傳輸到服務器，所述處理包括利用深度學習模型對所述幕門進行故障風險預測，所述處理過的數據包括故障風險預測結果；所述服務器，用於儲存資料及訓練所述深度學習模型；其中，所述深度學習模型根據幕門的日誌數據、幕門環境數據，以及幕門運作數據對所述幕門進行故障風險預測，所述幕門運作數據由所述感測器採集得到。本申請可以針對列車月台的幕門進行預測性維護。

Method and System of Automatic Constraint Modelling for Assembly Sequence Planning

HKSAR

32023067195.2

The present invention discloses a comprehensive assembly sequence planning based on CAD data and a fully automatic pipeline to achieve a reliable assembly sequence. An automatic constraint modelling (100) method for assembly sequence planning is disclosed in the present invention wherein, comprising the steps of: recognizing joining parts of a product data using a feature recognition (102) algorithm to automatically recognize shape and determine assembly features; dividing the product data into subassemblies (104); deriving liaison matrix for parts inside each of the subassemblies (104); deriving interference matrices by analyzing potential collisions (108) of the parts for each of the subassemblies (104); and defining and selecting base component (110) of the subassemblies (104). After the automatic modelling (100), the constraints are introduced to the Optimal Assembly Sequence Generation (112) where assembly sequences are generated based on the constraints and evaluated (114) regarding the optimization criteria.

一種用於注塑工序的質量預測和根本原因分析系統

PRC

202222999357.8

本發明涉及一種基於AI的系統，其用於分析在先前執行的製造操作中獲得的各種數據，用於執行質量預測和根本原因分析，以確定在製造工序中導致生產偏差的一個或多個可能的根本原因。

Device for the Optical Inspection of Ultrasonic Welds

HKSAR

32022058921.4

The present invention relates to a device for the optical inspection of ultrasonic welds, particularly for the inspection of welds about the periphery of thermoplastic parts forming an envelope.

A Quality Prediction and Root Cause Analysis System for Injection Molding Processes

HKSAR

32022062264.3

The present invention relates to a quality prediction and root cause analysis system. In particular, the invention pertains to an AI-based system for analysing various data obtained in previously executed manufacturing operations for performing quality prediction and root cause analysis to determine one or more possible root causes for production deviation resulted in a manufacturing process.

基於混合元啟發式算法的自動配送中心

PRC

202210700734.5