Changzhou Hongda's intelligent innovation in combing machines has made significant progress!
Yingna Vision, a company established by the Intelligent Equipment Industry Development Research Institute under Changzhou Hongda Technology Group, has recently made a major breakthrough in its independently developed key technology for the self-adjusting evenness system of the combing machine. Their recently applied invention patent for the "Determination Method of the Evenness Point of the Combing Machine Self-Adjusting Evenness System" has been accepted by the State Intellectual Property Office. Through Yingna Vision's independently developed "INS-B2.0 Online Cotton Sliver Quality Detection Device," the optimal evenness point is automatically found online in real time. This technological breakthrough solves the problem of textile factories relying on manual multiple searches for the evenness point (dead zone). It eliminates the need for manual setting of evenness parameters such as the "dead zone," reducing human error and improving accuracy. This technological breakthrough improves the intelligence level of the evenness system and the stability of cotton sliver quality, and reduces the difficulty of using the self-adjusting evenness system in textile factories.
A key technology in the self-adjusting evenness control system for combing machines, independently developed by Yingna Vision Company, established by the Intelligent Equipment Industry Development Research Institute under Changzhou Hongda Technology Group, has recently achieved a major breakthrough. The recently applied invention patent for the "combing machine self-adjusting evenness evenness point determination method" has been accepted by the State Intellectual Property Office. Through Yingna Vision Company's independently developed "INS-B2.0 online cotton sliver quality detection device", the optimal evenness point is automatically found online in real time. This technological breakthrough solves the problem of textile factories relying on manual multiple searches for evenness points (dead zones), eliminating the need for manual setting of evenness parameters such as "dead zones", reducing human factors, and achieving greater precision. This technological breakthrough improves the intelligence level of the evenness control system and the stability of cotton sliver quality, and reduces the difficulty of using the self-adjusting evenness control system in textile factories.
The "INS-A2.0 combing machine self-adjusting evenness control system", developed by Yingna Vision Company Chairman Gu Ren's R&D team, is based on in-depth and systematic research and testing of existing domestic and international combing machine self-adjusting evenness control systems. Extensive field tests were conducted, and numerous key process and control parameters were obtained. Research was also conducted on the drafting mechanism of various fibers in the combing process, particularly on the internal fiber changes of cotton slivers due to pre-drafting and main drafting evenness. A large amount of experimental data was accumulated. Based on the above research and experimental data, several patented technologies were successfully developed, including the "automatic adjustment method for cutting distance" and the "new sliver output sensor". The self-adjusting evenness control system technology researched by our company will greatly promote the high-quality development of combing machines towards artificial intelligence.
Yingna Vision (Changzhou) Artificial Intelligence Technology Co., Ltd. is a subsidiary of Changzhou Hongda Technology Group, focusing on providing equipment and solutions that use artificial intelligence technology to improve the quality control of textiles. It is a high-tech enterprise integrating R&D, manufacturing, and sales. The company's team has been deeply involved in the textile industry for decades and has 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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