FZ/T 50054-2021 English PDFUS$259.00 ยท In stock
Delivery: <= 3 days. True-PDF full-copy in English will be manually translated and delivered via email. FZ/T 50054-2021: Man-made fiber - On-line and intelligent detection of appearance defects for yarn package Status: Valid
Basic dataStandard ID: FZ/T 50054-2021 (FZ/T50054-2021)Description (Translated English): Man-made fiber - On-line and intelligent detection of appearance defects for yarn package Sector / Industry: Spinning & Textile Industry Standard (Recommended) Classification of Chinese Standard: W50 Word Count Estimation: 11,167 Issuing agency(ies): Ministry of Industry and Information Technology of the People's Republic of China FZ/T 50054-2021: Man-made fiber - On-line and intelligent detection of appearance defects for yarn package---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order. (On-line intelligent inspection of chemical fiber filament package appearance) ICS 59.060.20 W50 Textile Industry Standard of the People's Republic of China Online intelligent detection of chemical fiber filament package appearance Published on 2021-08-21 2022-02-01 Implementation Published by the Ministry of Industry and Information Technology of the People's Republic of China forewordThis standard was drafted in accordance with the rules given in GB/T 1.1-2009. Please note that some content of this document may be patented. Publication of this document Institutions do not assume responsibility for identifying these patents. This standard is proposed and managed by China National Textile and Apparel Council. This standard was drafted by. Donghua University, Zhejiang Hengyi High-tech Materials Co., Ltd., Fujian Baihong Polyfiber Technology Industrial Co., Ltd., Jiangsu Hengyi Li Chemical Fiber Co., Ltd., Shanghai Textile Industry Technical Supervision Institute, Suzhou Shenghong Fiber Co., Ltd., Xinxiang Chemical Fiber Co., Ltd., Xinxiang Chemical Fiber Co., Ltd. Fengming Group Co., Ltd., Tongkun Group Co., Ltd., Rongsheng Petrochemical Co., Ltd., Hangzhou Junchen Robot Co., Ltd., none Xijintong High Fiber Co., Ltd., Yiwu Huading Nylon Co., Ltd., Fujian Yongrong Jinjiang Co., Ltd., Jiangsu Solide New Materials Materials Group Co., Ltd., Changzhou Zhiruiyuan Information Technology Co., Ltd., Sinopec Yizheng Chemical Fiber Co., Ltd., China Chemical Fiber Industry Co., Ltd. Industry Association. The main drafters of this standard. Feng Pei, Wang Huaping, Li Qiang, Jiang Xiuming, Rui Baoqin, Zhou Zhende, Zhang Baoyue, Yang Yonghong, Feng Bin, Xu Yanhui, Ni Guomin, Wei Wei, Qian Qiyuan, Wang Qian, Jin Zhixue, Jin Liang, Mao Mingjie, Xu Yefeng, Li Deli. Online intelligent detection of chemical fiber filament package appearance1 ScopeThis standard specifies the terms and definitions, testing principles, testing requirements, on-line testing of chemical fiber filament package appearance on-line intelligent testing System composition, functional requirements and performance requirements. This standard applies to packaged filaments of chemical fibers.2 Normative referencesThe following documents are essential for the application of this document. For dated references, only the dated version applies to this article pieces. For undated references, the latest edition (including all amendments) applies to this document. GB/T 4146 (all parts) Textile chemical fibers3 Terms and DefinitionsThe terms and definitions defined in GB/T 4146 (all parts) and the following apply to this document. 3.1 machine vision The ingested target is converted into an image signal through the vision system product, and sent to a dedicated image processing system for intelligent analysis. It can obtain the characteristic information of the photographed target in order to control the action of the field equipment. 3.2 The production line uses control technology and machine vision, and with the support of appropriate software, automatically completes collection, analysis, calculation, and judgment to achieve machine vision. instead of manual detection systems. 3.3 The percentage of the number of appearance defects detected correctly by the inspection system to the actual number of inspections, including the type of appearance defects. 3.4 false positive rateextradetectionrate For some reasons, such as paper scraps, dust, etc. on the surface of the silk ingot, and the silk ingot is not knotted or knotted irregularly, although the silk ingot has no appearance defects However, the equipment thinks that it deviates from the normal state, which causes the inspection system to judge the ingot as an appearance defect, which is called a misjudgment. That is, the percentage of qualified products determined as unqualified products in the online testing process to the total number of qualified products in the current batch.4 Detection principleUsing the image information obtained by the online intelligent detection system, extract the target features, conduct real-time result analysis and statistics, and realize machine replacement. Manual measurement and judgment. ......Tips & Frequently Asked Questions:Question 1: How long will the true-PDF of FZ/T 50054-2021_English be delivered?Answer: Upon your order, we will start to translate FZ/T 50054-2021_English as soon as possible, and keep you informed of the progress. The lead time is typically 1 ~ 3 working days. The lengthier the document the longer the lead time.Question 2: Can I share the purchased PDF of FZ/T 50054-2021_English with my colleagues?Answer: Yes. 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