Failure Risk Prediction System for Platform Screen Doors of Train

HKSAR

32023068412.0

The present application discloses a failure risk prediction system for platform screen doors of a train, which includes: a plurality of sensors arranged at predetermined positions of the screen doors for collecting real-time data; a gateway located near the sensors to transmit the data collected by the sensors to an edge device which is used to process the data transmitted from the gateway and transmit the processed data to a server, a deep learning model is used to predict the failure risk of the screen doors according to the log data of the screen door; the server, used to store data and train the deep learning model; the environmental data of the screen door, and the operation data of the screen door, and the operation data of the screen door is collected by the sensors. The present application can be used for predictive maintenance of platform screen doors of the train.

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.

Device for the Optical Inspection of Ultrasonic Welds

PRC

202222999357.8

本发明涉及一种基于AI的系统，其用于分析在先前执行的制造操作中获得的各种数据，用于执行质量预测和根本原因分析，以确定在制造工序中导致生产偏差的一个或多个可能的根本原因。

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.

基于混合元启发式算法的自动配送中心

PRC

202210700734.5