Changzhou Hongda's ring spinning machine single-spindle detection technology achieves a major breakthrough
A key technology in the yarn state detection system for ring spinning machines, independently developed by the Intelligent Equipment Industry Development Research Institute under Changzhou Hongda Technology Group, has recently achieved a major breakthrough. The applied "Online detection method for the operating state of the yarn winding mechanism of ring spinning machines" has been granted a national invention patent. The Yingna Vision online monitoring and control system for single yarn state in ring spinning detects the vibration frequency of the yarn guide plate. This novel detection principle allows for real-time detection of the single yarn state and the operating state of components such as spindles, bearings, flyers, rings, and tapes. Simultaneously, it performs real-time detection of yarn breakage, weak twist, and yarn quality.
A key technology in the yarn state detection system for ring spinning machines, independently developed by the Intelligent Equipment Industry Development Research Institute under Changzhou Hongda Technology Group, has recently achieved a major breakthrough. The application for the "Online Detection Method for the Running Status of the Ring Spinning Machine Yarn Winding Mechanism" has been granted a national invention patent. The Yingna Vision ring spinning single yarn online monitoring and control system detects the vibration frequency of the yarn guide plate. This novel detection principle allows for real-time detection of the single yarn state and the running status of components such as spindles, bearings, flyers, rings, and tapes. Simultaneously, it performs real-time detection of yarn breakage, weak twist, and yarn quality.
This system can detect abnormal operation of winding components in real time, indicating to maintenance personnel when to replace parts, preventing potential failures and batch quality accidents caused by worn components. This significantly improves the quality of yarn batches and addresses the issue of the indiscriminate use of flat cars in existing textile factories, which consumes significant manpower, time, and costs.
This system can also effectively and reliably detect single-spindle yarn breakage and weak twist. Furthermore, it fundamentally solves the inconvenience of doffers connecting yarn in inductive detection and the problems caused by environmental light and flying fluff in photoelectric detection.
Since 2012, Changzhou Hongda Technology has applied for and obtained multiple patents related to single-spindle yarn breakage detection, including "Photoelectric Collimating Ring Spinning Machine Yarn Breakage Detection Mechanism," "Capacitive Ring Spinning Machine Yarn Breakage Detection Mechanism," "A Type of Electromagnetic Ring Spinning Machine Yarn Breakage Detection Device," and "A Type of Inductive Ring Spinning Machine Yarn Breakage Detection Device." The successful development of this original technology, "Online Detection Method for the Running Status of the Ring Spinning Machine Yarn Winding Mechanism," plays a key and important supporting role in the intelligent and informational development of ring spinning machines. It significantly promotes the progress of intelligent manufacturing of cotton spinning equipment and the high-quality development of textile enterprises.
Changzhou Hongda Intelligent Equipment Industry Development Research Institute, under Changzhou Hongda Technology Group, is a provider of equipment and solutions that use artificial intelligence technology to improve textile quality control. It focuses on the detection and control of the textile printing and dyeing industry and integrates R&D, manufacturing, and sales. The institute holds nearly 200 patents and has participated in drafting and formulating numerous national, industry, and group standards. The company team has decades of experience in the textile industry and nearly 30 years of accumulated technical experience in machine vision recognition technology, high-precision sensors, software, and automated inspection and control equipment.
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