Fong’s National recently shipped three sets of Jumboflow High Temperature Dyeing Machines (figure 1) to Bangladesh-based Knit Concern Ltd.,Of these three sets of machines,HSJ-8T-T28
Contents of this paper is a cold pad batch dyeing equipment PLC control system on the redesign. The transformation of the old machine control systems into the popular split control. There are two aspects, one PLC reco...Contents of this paper is a cold pad batch dyeing equipment PLC control system on the redesign. The transformation of the old machine control systems into the popular split control. There are two aspects, one PLC reconstruction, the second is a touch screen transformation.PLC terms with a new model, with a Siemens S7-300 series PLC to replace discontinued C7-626 series. Touch screen aspect rewrite configuration interface program. After transformation, cold pad batch dyeing machine monitoring system greatly enhanced reliability, improved system stability and reduce the cost of spare parts, easy to buy, improve the performance of the entire automation and control equipment.展开更多
The knowledge of flow regime is very important for quantifying the pressure drop, the stability and safety of two-phase flow systems. Based on image multi-feature fusion and support vector machine, a new method to ide...The knowledge of flow regime is very important for quantifying the pressure drop, the stability and safety of two-phase flow systems. Based on image multi-feature fusion and support vector machine, a new method to identify flow regime in two-phase flow was presented. Firstly, gas-liquid two-phase flow images including bub- bly flow, plug flow, slug flow, stratified flow, wavy flow, annular flow and mist flow were captured by digital high speed video systems in the horizontal tube. The image moment invariants and gray level co-occurrence matrix texture features were extracted using image processing techniques. To improve the performance of a multiple classifier system, the rough sets theory was used for reducing the inessential factors. Furthermore, the support vector machine was trained by using these eigenvectors to reduce the dimension as flow regime samples, and the flow regime intelligent identification was realized. The test results showed that image features which were reduced with the rough sets theory could excellently reflect the difference between seven typical flow regimes, and successful training the support vector machine could quickly and accurately identify seven typical flow regimes of gas-liquid two-phase flow in the horizontal tube. Image multi-feature fusion method provided a new way to identify the gas-liquid two-phase flow, and achieved higher identification ability than that of single characteristic. The overall identification accuracy was 100%, and an estimate of the image processing time was 8 ms for online flow regime identification.展开更多
Tonello presents the latest generation of washing and dyeing machines.Evolution 3,the new generation of Tonello's signature washing and dyeing machines,is the amazing fruit of years of research,experimentation and...Tonello presents the latest generation of washing and dyeing machines.Evolution 3,the new generation of Tonello's signature washing and dyeing machines,is the amazing fruit of years of research,experimentation and continuous improvement.The goal of Evolution 3 is simply excellence.All the innovations implemented in Evolution 3 washing machines further reduce water and energy consumption,increase productivity,and lower energy and maintenance costs.And without compromising on performance,because balancing these needs is critical in an increasingly competitive and sustainabilityconscious market.And it makes all the difference.展开更多
目的分析术中快速病理诊断技术的优化对提高编号效率与正确率、制片效率、制片质量与术中快速病理诊断及时率的影响。方法以2017~2021年优化前后的冷冻切片为研究对象,各选取2017年(优化前)与2021年(优化后)的100个冷冻标本,2017年为传...目的分析术中快速病理诊断技术的优化对提高编号效率与正确率、制片效率、制片质量与术中快速病理诊断及时率的影响。方法以2017~2021年优化前后的冷冻切片为研究对象,各选取2017年(优化前)与2021年(优化后)的100个冷冻标本,2017年为传统包埋盒生成方式,2021年为包埋盒打号机关联病理信息系统实现精准匹配打印。比较优化前后单个包埋盒病理号的平均生成时间及100个包埋盒的生成错误率。2017年为传统组织块速冻方法,2021年为将专利冰锤组件应用于病理冷冻切片制备的组织速冻环节,比较优化前后的速冻时间、冷冻切片组织完整性与细胞质挤压变形得分。随机取150个冷冻组织冻块,每块连续切取2片,1片手工染色,1片运用全自动染色机染色,比较优化前后的染色优良率及染色时间。比较优化前后两个年度的诊断报告及时率。结果优化后包埋盒病理号的平均生成时间(5.51±0.14)s/个显著短于优化前的(8.39±0.19)s/个,差异有统计学意义(P<0.05);优化后生成冷冻标本包埋盒病理号错误率为0,显著低于优化前的4.00%,差异有统计学意义(P<0.05)。优化后对组织的速冻时间(61.27±0.58)s明显短于优化前的(62.03±0.58)s,组织完整性得分(8.76±0.08)分及细胞质无挤压变形得分(9.16±0.06)分均显著高于优化前的(7.36±0.07)、(6.85±0.08)分,差异有统计学意义(P<0.05)。优化后的染色优良率97.33%高于优化前的89.33%,差异有统计学意义(P<0.05)。若两份冷冻标本同时送检或两份冷冻标本送检时间相距<3 min 150次,制成的冷冻切片需在同一时段染色,优化后染色完成时间(485.10±0.99)s短于优化前的(554.20±1.26)s,差异有统计学意义(P<0.05)。优化后术中病理诊断报告及时率显著高于优化前,差异有统计学意义(P<0.05)。结论优化术中快速病理诊断技术重要环节后缩短了术中冷冻切片的制备时间,提高了冷冻切片的制片与染色质量,可在规定时间内为病理医师提供优质的染色片,缩短术中冷冻标本的报告等待时间,提高手术进程。展开更多
文摘Fong’s National recently shipped three sets of Jumboflow High Temperature Dyeing Machines (figure 1) to Bangladesh-based Knit Concern Ltd.,Of these three sets of machines,HSJ-8T-T28
文摘Contents of this paper is a cold pad batch dyeing equipment PLC control system on the redesign. The transformation of the old machine control systems into the popular split control. There are two aspects, one PLC reconstruction, the second is a touch screen transformation.PLC terms with a new model, with a Siemens S7-300 series PLC to replace discontinued C7-626 series. Touch screen aspect rewrite configuration interface program. After transformation, cold pad batch dyeing machine monitoring system greatly enhanced reliability, improved system stability and reduce the cost of spare parts, easy to buy, improve the performance of the entire automation and control equipment.
基金Supported by the National Natural Science Foundation of China （50706006） and the Science and Technology Development Program of Jilin Province （20040513）.
文摘The knowledge of flow regime is very important for quantifying the pressure drop, the stability and safety of two-phase flow systems. Based on image multi-feature fusion and support vector machine, a new method to identify flow regime in two-phase flow was presented. Firstly, gas-liquid two-phase flow images including bub- bly flow, plug flow, slug flow, stratified flow, wavy flow, annular flow and mist flow were captured by digital high speed video systems in the horizontal tube. The image moment invariants and gray level co-occurrence matrix texture features were extracted using image processing techniques. To improve the performance of a multiple classifier system, the rough sets theory was used for reducing the inessential factors. Furthermore, the support vector machine was trained by using these eigenvectors to reduce the dimension as flow regime samples, and the flow regime intelligent identification was realized. The test results showed that image features which were reduced with the rough sets theory could excellently reflect the difference between seven typical flow regimes, and successful training the support vector machine could quickly and accurately identify seven typical flow regimes of gas-liquid two-phase flow in the horizontal tube. Image multi-feature fusion method provided a new way to identify the gas-liquid two-phase flow, and achieved higher identification ability than that of single characteristic. The overall identification accuracy was 100%, and an estimate of the image processing time was 8 ms for online flow regime identification.
文摘Tonello presents the latest generation of washing and dyeing machines.Evolution 3,the new generation of Tonello's signature washing and dyeing machines,is the amazing fruit of years of research,experimentation and continuous improvement.The goal of Evolution 3 is simply excellence.All the innovations implemented in Evolution 3 washing machines further reduce water and energy consumption,increase productivity,and lower energy and maintenance costs.And without compromising on performance,because balancing these needs is critical in an increasingly competitive and sustainabilityconscious market.And it makes all the difference.
文摘目的分析术中快速病理诊断技术的优化对提高编号效率与正确率、制片效率、制片质量与术中快速病理诊断及时率的影响。方法以2017~2021年优化前后的冷冻切片为研究对象,各选取2017年(优化前)与2021年(优化后)的100个冷冻标本,2017年为传统包埋盒生成方式,2021年为包埋盒打号机关联病理信息系统实现精准匹配打印。比较优化前后单个包埋盒病理号的平均生成时间及100个包埋盒的生成错误率。2017年为传统组织块速冻方法,2021年为将专利冰锤组件应用于病理冷冻切片制备的组织速冻环节,比较优化前后的速冻时间、冷冻切片组织完整性与细胞质挤压变形得分。随机取150个冷冻组织冻块,每块连续切取2片,1片手工染色,1片运用全自动染色机染色,比较优化前后的染色优良率及染色时间。比较优化前后两个年度的诊断报告及时率。结果优化后包埋盒病理号的平均生成时间(5.51±0.14)s/个显著短于优化前的(8.39±0.19)s/个,差异有统计学意义(P<0.05);优化后生成冷冻标本包埋盒病理号错误率为0,显著低于优化前的4.00%,差异有统计学意义(P<0.05)。优化后对组织的速冻时间(61.27±0.58)s明显短于优化前的(62.03±0.58)s,组织完整性得分(8.76±0.08)分及细胞质无挤压变形得分(9.16±0.06)分均显著高于优化前的(7.36±0.07)、(6.85±0.08)分,差异有统计学意义(P<0.05)。优化后的染色优良率97.33%高于优化前的89.33%,差异有统计学意义(P<0.05)。若两份冷冻标本同时送检或两份冷冻标本送检时间相距<3 min 150次,制成的冷冻切片需在同一时段染色,优化后染色完成时间(485.10±0.99)s短于优化前的(554.20±1.26)s,差异有统计学意义(P<0.05)。优化后术中病理诊断报告及时率显著高于优化前,差异有统计学意义(P<0.05)。结论优化术中快速病理诊断技术重要环节后缩短了术中冷冻切片的制备时间,提高了冷冻切片的制片与染色质量,可在规定时间内为病理医师提供优质的染色片,缩短术中冷冻标本的报告等待时间,提高手术进程。
