YZ-1型棉花加工线智能在线检测系统的研究与应用
2021-08-11 09:27:33   来源：   评论：0 点击：

安少元，郭敬瑶，刘晓刚
(陕西长岭纺织机电科技有限公司，陕西 宝鸡   721013)
 

摘要：为了能从加工源头控制棉纤维质量，做到实时检测轧花信息，提升皮棉加工质量，介绍自主研发的YZ-1型棉花加工线智能在线检测系统的结构组成、工作原理及测试原理，通过与实验室检测数据对比，验证该系统测试数据的稳定性和可靠性。指出：YZ-1型系统在棉花加工生产线上加装籽（皮）棉工作站，通过网络连接轧花机生产控制系统，可实时检测棉花回潮率、杂质含量及颜色等级；相比XJ130型回潮率测定仪，测试出的回潮率曲线数据点差异较小；相比XJ128型快速棉纤维性能测试仪，测试出的杂质、颜色信息等差异较大；系统检验出的数据与国家公检实验室数据趋势有一定相关性，可实现联网智能管控，做到“因花配车”；仍需优化算法模型，建立光源和温度模型。

Research and Application of the Intelligent On-line Detection System YZ-1 of Cotton Processing Line
AN Shaoyuan，GUO Jingyao，LIU Xiaogang
(Shaanxi Changling Textile Machinery Technology Co.，Ltd.，Baoji 721013，China)

Abstract:In order to control the quality of cotton fiber from the processing source，detect the ginning information in real time，and improve the processing quality of ginned cotton，the structure composition，working principle and testing principle of the intelligent on-line detection system YZ-1 of cotton processing line are introduced.The stability and reliability of the system test data are verified by comparing with the laboratory test data.It is pointed out that the YZ-1 system is installed with seed (ginned) cotton workstation in the cotton processing line，and connected with the production control system of ginning machine through network，it can detect moisture regain，impurity content and color grade of cotton in real time.Compared with the moisture regain tester XJ130，the difference of the data points of moisture regain curve by the system is smaller，and the difference of the information of impurity and color by the system is larger than that of the rapid cotton fiber property tester XJ128.The data tested by the system has a certain correlation with the data trend of the national public inspection laboratory，which can realize the network intelligent management and control，and achieve the goal of “matching gin according to the cotton”，but it is still necessary to optimize the algorithm model and establish the light source and temperature model.

Key Words:cotton processing;YZ-1 system;on-line detection;seed (ginned) cotton workstation;moisture regain;impurities;color;difference factor;intelligent management and control