A kind of automatic weighing data acquisition and production automatic matching system for traveling steel water
By designing an automatic steel weighing data acquisition and production matching system for overhead cranes, the problems of large manual operation errors, difficulty in data synchronization, and easy data loss in converter steelmaking production were solved. The system realizes automated data acquisition and matching, improves the accuracy and consistency of data, reduces the workload of operators, and ensures the real-time and accuracy of production information.
CN122363069APending Publication Date: 2026-07-10HUNAN VALIN LIANYUAN IRON & STEEL CO LTD
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Patent Information
- Application Number
- CN202610239029.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-28
- Publication Date
- 2026-07-10
Abstract
This invention discloses an automatic steel weighing data acquisition and production automatic matching system for overhead cranes, comprising: a data acquisition module for acquiring production plan data from the production management system, smelting equipment operation data from the process control system, and crane operation and weighing data; a data storage and processing module for storing raw data and identifying crane workstations based on a preset coordinate point library; a crane task status identification module for identifying the lifting, moving, and lowering stages of crane operations based on changes in weighing data and displacement data; an automatic weighing data extraction module for defining the effective data range during the lifting stage, removing abnormal fluctuation values, and extracting the final weighing weight; and a production automatic matching module for matching the crane task status and workstation information with the smelting equipment operation time nodes and production plan data using time coordinates. This invention achieves automatic acquisition of crane weighing data and automatic binding of production information, reducing human error and improving data accuracy.
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