4 results about "Defect prevention" patented technology

The application is suitable for the technical field of data processing, and provides a production data backtracking method and system for tank suspicious defect calibration, which comprises the following steps: collecting multi-modal data of tank defects, production process parameters and historical environment data, and establishing a multi-source database with time and space correlation; constructing a defect evolution model based on the multi-modal data, reconstructing a full life cycle track and outputting initial morphology and evolution rate parameters; dynamically correcting the defect expansion rate in combination with the historical environment data, and outputting environment weighted correction parameters; identifying composite defects and decoupling their coupling effect, and outputting characteristic parameters of each independent defect; and positioning the specific production link where the defects are generated and constructing a defect-process correlation graph through matching analysis of the above parameters and the multi-source database. The application realizes accurate tracing of tank defects from the current state to the production source, and provides reliable support for defect prevention and process optimization.

The application discloses a kind of switch rail flash welding construction methods, comprising the following operating steps: S1, construction preparation and switch investigation;S2, rail state inspection and pretreatment;S3, welding machine alignment and clamping;S4, dynamic compensation-based flash welding;S5, postweld normalizing treatment;S6, rough polishing;S7, welding head flaw detection;S8, fine polishing and profile finishing;S9, flatness and appearance inspection;S10, line locking.Effectively improve the consistency of welding quality, enhance the defect prevention capability, optimize the construction organization efficiency, reduce the operation threshold and realize the welding process traceability.

Aspects of the disclosure relate to s computing system that is configured to use heuristic and / or metaheuristic algorithms based on swarm learning (SL) intelligence frameworks and combine SL with blockchain and edge computing frameworks to provide a technologically efficient, responsive, and / or adaptable solution to detecting and preventing defects in software applications.

The present invention discloses a system and method for automatic defect inspection and operator assessment in a circular knitting machine (104). The system comprises at least one an external camera (102) to capture at least one image of surroundings of a circular knitting machine (104). Further, the system may comprise an internal inspection unit (106) to analyze at least one captured image to detect defects in the fabric and / or data collection unit attached to knitting machine. Furthermore, the system may comprise an automatic defect processing unit (110) to receive the at least one analyzed image data from the internal inspection unit (106) for decision making Additionally, the automatic defect processing unit (110) classifies the detected defects into preventable defects and non-preventable defects. Thereafter, the automatic defect processing unit (110) based on the classification determines whether to stop the circular knitting machine (104) or to trigger an alert for operator intervention.