12 results about "Defect tracking" patented technology

The invention discloses an analysis method for an injection mold deformation quantity model, and relates to the technical field of image processing, and the method comprises the steps: generating a height sequence based on a parting line of an injection mold, and calculating a wedge angle proxy quantity based on the height sequence and the normal sampling width of the parting line; determining a heating influence length based on a parting line of the injection mold, and calculating an overturning driving amount based on the heating influence length and the wedge-shaped angle proxy amount; the tilt angle proxy amount is calculated based on the height sequence and the normal sampling width, and the highlight stub intensity is calculated based on the original highlight map of the vicinity of the parting line. According to the invention, the efficiency of mold maintenance, defect tracking and online quality control is improved.

A defect tracking system includes an image capture device configured to capture an image of a surface. The system also includes a defect flag receiver configured to receive the defect indication. The defect indication includes a defect on the surface. The system also includes a defect mapper configured to map defects to the surface. The system also includes a user interface generator configured to generate a defect map for showing the detected defects. The system also includes a display component configured to display the defect map.

Defect tracking within a computing environment includes storing a retired page table within a read only memory (ROM) of a computing node. A hardware processor of the computing node detects one or more System-on-Chips (SoCs) within the computing node. The hardware processor reads the retired page table from the read only memory. The hardware processor compares records of the retired page table with the one or more SoCs within the computing node. For each record of the retired page table that matches the one or more SoCs within the computing node, one or more physical pages of a volatile memory of the one or more SoCs are retired based on each record.

Disclosed in the present invention is a big data-based information collection system for software development. The system comprises: a dynamic data collection module, which is used for automatically collecting a code submission record, a task completion situation and defect tracking information during software development by means of an API interface and a log file; a data pre-processing module, which is used for performing formatting, deduplication and missing value filling processing on collected original data, so as to ensure the quality of the original data for subsequent analysis; a distributed storage module, which is used for using a distributed data storage method to store pre-processed data in a blockchain system, so as to realize efficient storage and access of massive data; and an intelligent analysis module, which is used for using a machine learning algorithm to perform deep analysis on data stored in a distributed manner, so as to identify a software development trend and predict a project development risk. The system can monitor a software development progress in real time, predict a potential problem, and assist in decision making.

The invention discloses a log generation and defect tracking-oriented power grid monitoring bionic robot control method, which relates to the technical field of power monitoring, and comprises the following steps of: constructing a dynamic causal reasoning network by utilizing log event associated information in a log event list based on a credible log set, calculating a causal influence coefficient of log events and defects, outputting a defect root cause instruction list when the root cause judgment threshold value is reached; a defect root cause instruction list is used as a drive, state records in the credible log set are linked to carry out defect disposal operation, state changes are tracked in real time, and a closed-loop disposal report is generated; and taking the closed-loop disposal report as feedback, updating the defect condition probability in the dynamic causal reasoning network, adjusting the judgment boundary in the reference spectrum set, and performing closed-loop optimization on the generation process of the credible log set and the defect root cause instruction list. The autonomous and intelligent capabilities of power grid monitoring are enhanced, and the safety and reliability of power grid operation are ensured.

Defect tracking within a computing environment includes storing a retired page table within a read only memory (ROM) of a computing node. A hardware processor of the computing node detects one or more System-on-Chips (SoCs) within the computing node. The hardware processor reads the retired page table from the read only memory. The hardware processor compares records of the retired page table with the one or more SoCs within the computing node. For each record of the retired page table that matches the one or more SoCs within the computing node, one or more physical pages of a volatile memory of the one or more SoCs are retired based on each record.

Integrated quality monitoring techniques enable a plant operator to simultaneously view and analyze data that are derived from a plurality of sensors. An apparatus for and a method of inferring quality of a sheet roll consecutively monitors new data including: (a) surface defects of the sheet roll from vision defect tracking system, (b) measurement defects of the sheet roll from vision measurement system, and (c) quality and defect data of the sheet roll from quality control system, and simultaneously integrating the new data with old data in history. Data connect application programming interface can furnish historical, current and alarms data for analysis to an aggregator node for reporting and analysis.

The present invention discloses a template-based concurrent defect repair system and method, including: crawling defect reports of open-source projects in an open-source defect tracking system, retrieving and screening all concurrency-related defects, and extracting corresponding patch files; converting the patch files into a special change tree representation; extracting repair templates by comparing the similarity of the change trees; using the repair templates and the files to be repaired with known defect line numbers as inputs for template matching, and after successful matching, completing the repair of concurrent defects by refactoring the source code. By converting the patch files into a special change tree representation, capturing the code change context, generating more accurate and fine-grained editing scripts, and by comparing the similarity between the change trees, the present invention can dig out accurate repair templates, make better use of the syntax information of the defective code, fully explore its relationship with the context, repair more types of concurrent defects, have stronger universality and generality, and the repair is more accurate.

The invention discloses a conveyor belt surface defect tracking method based on image mask rapid matching, and relates to the field of automatic detection, which comprises the following steps: acquiring and processing to obtain a standard image; performing instance segmentation on the standard image, identifying a defect area and extracting a defect mask; establishing a defect database, distributing an identification ID for the defect area, and storing the identification ID and the defect mask in the defect database; in the next period, the collected real-time image is corrected and synchronously matched, a first defect mask is obtained, the first defect mask and the stored defect masks are matched in sequence, and interaction ratio data and structural similarity indexes between the defect masks are obtained through calculation; and when the interaction ratio data and the structural similarity index are both greater than a first threshold value, judging that the defect region belongs to the same defect, otherwise, judging that the defect region is a new defect region, and updating the defect database. According to the invention, the defect detection speed and accuracy of the surface area of the conveyor belt are improved, and repeated recording or missing detection is avoided.

Integrated quality monitoring techniques enable a plant operator to simultaneously view and analyze data that are derived from a plurality of sensors. An apparatus for and a method of inferring quality of a sheet roll consecutively monitors new data including: (a) surface defects of the sheet roll from vision defect tracking system, (b) measurement defects of the sheet roll from vision measurement system, and (c) quality and defect data of the sheet roll from quality control system, and simultaneously integrating the new data with old data in history. Data connect application programming interface can furnish historical, current and alarms data for analysis to an aggregator node for reporting and analysis.

The present invention relates to the technical field of defect detection, specifically a curtain wall defect detection system based on computer vision. The system includes an image acquisition module, a texture analysis module, a dynamic defect tracking module, a defect location module, and a defect recognition module. In the present invention, multi-angle curtain wall datasets are collected through the arranged fixed cameras and adjustable-angle cameras, increasing the coverage of the overall and details of the building curtain wall. The precise adjustment of the synchronous shooting parameters and the in-depth analysis of each frame of image make the data collection more complete, ensuring high-quality image data. It allows the system to improve the automation degree of defect detection through local texture feature analysis and dynamic trajectory tracking, reducing the need for manual intervention, thereby improving the detection efficiency and accuracy. The abnormal motion areas are automatically marked and analyzed, enabling the system to timely discover potential structural safety problems, providing accurate data support for maintenance and repair, reducing maintenance costs and building safety risks.