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新闻资讯/NEWS

本土纺织行业推动智能制造向高端绿色发展/Local textile industry promotes smart manufacturing to high-end green development

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【摘要】:
本土纺织行业推动智能制造向高端绿色发展/Local textile industry promotes smart manufacturing to high-end green development

 

纺织行业作为我国传统支柱产业和重要的民生产业,正处于转型升级的关键时期。整个行业面临人口红利消失、原材料价格上涨、环保压力增大、出口缩减等现实问题。面对发展困境,纺织行业积极求变,以智能制造为手段,打通纺织全产业链、生产制造关键环节的数据流,开展生产模式、商业模式的变革,实现纺织行业劳动生产率、生产柔性的大幅提升,以及产品质量、资源能耗的改善,推动我国纺织行业向高端发展。 

As a traditional pillar industry and an important civilian production industry, the textile industry is in a critical period of transformation and upgrading. The entire industry faces real problems such as the disappearance of demographic dividends, rising raw material prices, increased environmental pressures, and reduced exports. Facing the development dilemma, the textile industry is actively seeking change, using intelligent manufacturing as a means to open up the data flow of the textile industry chain and the key links of production and manufacturing, to carry out the transformation of production mode and business model, and to realize the labor productivity and flexibility of the textile industry. Improvement, as well as improvement in product quality and resource energy consumption, promote the development of China's textile industry to the high end.

 

供应链协同提高资源配置效率

Supply Chain Collaboration Improves Resource Allocation Efficiency

 

我国纺织服装行业整体市场集中度较低,以中小企业为主,上下游之间信息对接不够顺畅,普遍面临融资困难和库存积压等问题。找纱网以供应链金融为切入点,建立B2B电商平台,向纱线生产企业和需求企业提供免费的撮合交易,并利用企业在平台上积累的交易数据,提供信用担保,帮助企业获得银行等金融机构的贷款。

China's textile and garment industry has a low overall market concentration, mainly for small and medium-sized enterprises. The information docking between upstream and downstream is not smooth enough, and it is generally faced with problems such as financing difficulties and inventory backlog. Looking for gauze network as a starting point for supply chain finance, establishing a B2B e-commerce platform, providing free matching transactions to yarn manufacturers and demanding enterprises, and using the transaction data accumulated by the company on the platform to provide credit guarantees to help enterprises obtain banks. Loans from financial institutions.

 

找纱网通过收取贷款服务的佣金来获利,而纱线企业则借助平台解决了资金周转难题。嘉欣丝绸作为行业领军企业,也在打造基于互联网的供应链金融服务。丝绸制品具有明显的季节性特征,需要在蚕茧收烘期间进行原材料备货,而中小厂家受限于资金短缺通常无法充足备货。嘉欣丝绸打造了专业交易平台“中国茧丝绸交易市场”,并与银行建立合作,允许平台上的中小企业以蚕丝原材料为抵押物获得贷款,这种模式不仅有效解决了中小企业的融资问题,也能更好地整合供应链资源。

Looking for gauze to profit from the commission of the loan service, and the yarn company solved the problem of capital turnover by means of the platform. As the industry leader, Jiaxin Silk is also building Internet-based supply chain financial services. Silk products have obvious seasonal characteristics, and it is necessary to stock raw materials during the drying period of silkworm cocoons, and small and medium-sized manufacturers are often unable to adequately stock up due to shortage of funds. Jiaxin Silk has built a professional trading platform “China Silk Trading Market” and established cooperation with banks to allow small and medium-sized enterprises on the platform to obtain loans from silk raw materials as collateral. This model not only effectively solves the financing problems of SMEs. It also better integrates supply chain resources.

 

智能化设备支撑绿色发展

Intelligent equipment supports green development

 

在用工成本不断上涨的背景下,提升纺织装备的数字化、智能化技术水平成为纺织行业提高劳动生产率和产品质量稳定性的重要手段。安徽华茂纺织与经纬纺机联合研制了清梳联设备,实现了开清棉和梳棉两个工序的连续化和自动化生产,并采用国内自主开发的异纤自动分拣仪对开松后的棉流进行全方位扫描,将棉流中的化学纤维、塑料膜等异纤清除掉。江苏大生建立数字化纺纱车间,配置了智能物流输送系统,基于自动导引小车和机器人完成物流、码垛和打包工作,实现万锭用工从50人减少到20人,劳动生产率大幅提升。随着环保法规和相关标准的日益严格,绿色发展成为纺织印染行业的指导理念。浙江绍兴东升数码研发的无水印花机,直接由计算机控制将染料和助剂喷印到织物上,喷印过程中不产生噪音和废水、废气等。江苏常州宏大集团研发的智能化印染产品,能够对生产过程中的耗水量、污水和废气排放进行检测,有效降低污染排放和资源消耗。

Under the background of rising labor costs, upgrading the digital and intelligent technology level of textile equipment has become an important means for the textile industry to improve labor productivity and product quality stability. Anhui Huamao Textile Co., Ltd. and Jingwei Textile Machinery jointly developed the cleaning and carding equipment to realize the continuous and automatic production of the two processes of cleaning cotton and carding, and adopting the domestically developed foreign fiber automatic sorting instrument to open the pine. The cotton stream is scanned in all directions, and the foreign fibers such as chemical fibers and plastic films in the cotton stream are removed. Jiangsu Dasheng has established a digital spinning workshop, equipped with an intelligent logistics delivery system, based on automatic guided trolleys and robots to complete logistics, palletizing and packaging work, reducing the number of million ingots from 50 to 20, and greatly increasing labor productivity. With the increasingly strict environmental regulations and related standards, green development has become the guiding concept of the textile printing and dyeing industry. The waterless printing machine developed by Zhejiang Shaoxing Dongsheng Digital directly prints dyes and additives onto the fabric by computer control. No noise, waste water and exhaust gas are generated during the printing process. The intelligent printing and dyeing products developed by Jiangsu Changzhou Hongda Group can detect the water consumption, sewage and exhaust emissions during the production process, effectively reducing pollution emissions and resource consumption.

 

在线检测与反馈优化纺织工艺

Online testing and feedback optimization textile process

 

在纱线染色环节,为保证工艺参数的准确运行,需要对温度、染料液位等指标进行实时检测,以便对生产流程做出调整。鲁泰纺织建立了染色工艺在线检测及反馈系统,在染色机上安装温度传感器,根据实时温度在线检测和气动阀门定位器的调节,实现染液温度的恒定。在染色单位的主缸内安装差压液位计,实时检测染料液位并作为调整管路阀门开口大小的依据,实现液位精确控制。

In the yarn dyeing process, in order to ensure the accurate operation of the process parameters, it is necessary to detect the temperature, dye liquid level and other indicators in real time in order to adjust the production process. Luthai Textile has established an on-line detection and feedback system for dyeing process. A temperature sensor is installed on the dyeing machine. According to the real-time temperature on-line detection and the adjustment of the pneumatic valve positioner, the dyeing temperature is constant. A differential pressure level gauge is installed in the master cylinder of the dyeing unit to detect the dye liquid level in real time and serve as a basis for adjusting the opening size of the pipeline valve to achieve precise control of the liquid level.

 

通过在线检测,大幅提高了染色产品一次符样率和生产效率。在织造过程中,由于机械故障或操作错误等原因,布匹会存在一些瑕疵。纺织企业传统上采用人工方式进行织物瑕疵检测,在检测精度、速度和检出率方面都不理想。江苏无锡信捷开发了“经编机布匹瑕疵在线视觉检测系统”,基于机器视觉,实现经编机织布过程中布匹瑕疵的实时检测。

Through on-line inspection, the dye sample product has been greatly improved in one-time sample rate and production efficiency. During the weaving process, there may be some flaws in the cloth due to mechanical failure or operational errors. Textile companies have traditionally used manual methods for fabric flaw detection, which is not ideal for detection accuracy, speed and detection rate. Jiangsu Wuxi Xinjie has developed a “warp machine cloth online visual inspection system” based on machine vision to realize real-time detection of cloth defects in warp knitting machine weaving process.

 

大规模个性化定制提升用户体验

Large-scale personalized customization to enhance user experience

 

在产能过剩的大格局下,传统的纺织服装生产模式普遍遭遇库存严重的问题。浙江宁波慈星通过搭建针织品柔性定制平台“织可穿”,让消费者实现毛衫尺寸的量身定制和特定位置个性化的花型定制。

Under the pattern of overcapacity, the traditional textile and garment production model generally suffers from serious inventory problems. Zhejiang Ningbo Cixing has built a knitwear flexible custom platform “weaving and wearing”, allowing consumers to customize the size of the sweater and customize the pattern at a specific location.

 

慈星建立了消费者会员数据库,收集整理人体尺寸数据和个性化设计数据,并上传到云平台,为个性定制提供版型支撑。通过3D扫描系统,在5秒钟内即可采集80多处身体信息数据,显著提高了量体环节的效率和精准度。量体数据发送到慈星自主研发的智能针织设备上,可快速完成单件或小批量的定制化生产,并在7天内进行配送,而且价格低于市场同款同质零售价。

Cixing has established a consumer membership database to collect and organize human body size data and personalized design data, and upload it to the cloud platform to provide version support for personalized customization. Through the 3D scanning system, more than 80 body information data can be collected in 5 seconds, which significantly improves the efficiency and accuracy of the volume link. The volume data is sent to the intelligent knitting equipment independently developed by Cixing, which can quickly complete the customized production of single or small batches, and deliver them within 7 days, and the price is lower than the same retail price of the same paragraph.

 

 

由此可见,个性化定制实现了销售流通渠道的扁平化和轻库存化,极大地提高了针织毛衫产业链的运行效率。

It can be seen that the personalized customization realizes the flat and light inventory of the sales and distribution channels, which greatly improves the operational efficiency of the knitted sweater industry chain.

 

四大举措推进纺织业智能制造

Four major initiatives to promote smart manufacturing in the textile industry

 

智能制造是纺织业转型升级的重要抓手。纺织业可以从四个方面入手,进一步加快推进智能制造的落地:

Intelligent manufacturing is an important starting point for the transformation and upgrading of the textile industry. The textile industry can start from four aspects and further accelerate the advancement of smart manufacturing:

 

一是推进智能化纺织装备的研发和应用。纺织装备是纺织行业开展智能制造的基础和新一代信息技术与纺织技术融合的载体。智能化纺织装备的产业化应用,是提高生产效率和产品质量的关键。应当充分利用现有资金渠道,支持企业开展新型纺纱织造装备、新型印染等装备的研发与推广。

The first is to promote the development and application of intelligent textile equipment. Textile equipment is the basis for the intelligent manufacturing of the textile industry and the integration of the new generation of information technology and textile technology. The industrial application of intelligent textile equipment is the key to improving production efficiency and product quality. We should make full use of the existing funding channels to support enterprises in the development and promotion of new spinning and weaving equipment, new printing and dyeing equipment.

 

二是充分发挥试点示范的带动作用。工信部已连续两年开展智能制造试点示范行动,纺织行业涌现出一批先进典型,如山东康平纳集团的“筒子纱染色智能工厂试点示范”、宁波慈星的“针织品智能柔性定制平台试点示范”等,应当充分总结领先企业的成功经验和技术,并在全行业进行推广,从而带动纺织行业智能化水平的整体提升。

The second is to give full play to the driving role of the pilot demonstration. The Ministry of Industry and Information Technology has carried out the pilot demonstration of intelligent manufacturing for two consecutive years. A number of advanced models have emerged in the textile industry, such as the “Pilot Dyeing Smart Factory Pilot Demonstration” of Shandong Kangpinna Group and the “Crafting Intelligent Flexible Customization Platform Pilot Demonstration of Ningbo Keat” "Where, the successful experience and technology of leading companies should be fully summarized and promoted in the whole industry, thus driving the overall improvement of the intelligent level of the textile industry.

 

三是打造纺织行业智能制造人才队伍。加强纺织行业智能制造人才培训,培养一批兼具纺织行业知识和智能制造技术的复合型人才,一批擅长智能化装备与系统操作的高素质职业人才。探索多样化的人才培养机制,鼓励纺织企业与高校合作培养智能制造人才。

The third is to build a team of intelligent manufacturing talents in the textile industry. Strengthen the training of intelligent manufacturing talents in the textile industry, train a group of compound talents with both textile industry knowledge and intelligent manufacturing technology, and a group of high-quality professional talents who are good at intelligent equipment and system operation. Explore diverse talent training mechanisms and encourage textile companies to collaborate with universities to develop smart manufacturing talents.

 

四是搭建纺织行业智能制造公共服务平台。通过产学研深度融合,推进纺织智能制造公共服务平台的建设,向企业提供纺织行业智能制造关键技术的测试验证、转移孵化、专业技术咨询等服务,强化服务资源支撑,加速纺织行业智能制造前沿技术的应用。

The fourth is to build a smart service public service platform for the textile industry. Through the deep integration of industry, academia and research, we will promote the construction of a public service platform for textile intelligent manufacturing, provide services such as test verification, transfer incubation, and professional technical consultation for key technologies in the textile industry, strengthen service resource support, and accelerate the cutting-edge technology of intelligent manufacturing in the textile industry. Applications.