原装IS200VAICH1C质保包售后完善

　　当下，苦于劳动力成本上涨、人口老龄化重压、人工误差导致的生产效率低下的传统工业企都在期望通过智能化变革降本增效。近年来，工业制造行业的企业开始纷纷布局并采用人工智能技术，包括机器学习、深度学习、计算机视觉以及在机器人、物联网、云计算等方面的泛化应用，覆盖排产、质检、维护、管理等场景。 例如，西门子已经能够为客户提供不同类型的人工智能硬件，TMNPU是一个神经网络计算单元，能够直接在西门子S7-1500和ET200MP之外附加的一个模组，这个模组能够与西门子现有的PLC进行连接。再比如，施耐德电气正在采用“AI训练”的方式让机器去学习这些老专家的经验，从而将“人的经验”进一步转化成“系统的经验”。 三大应用主战场 目前来看，人工智能主要可以为制造业解决三类问题： 帮助企业提升自动化效率和度，提高制造业智能化运营水平并降低运营成本； 预测市场趋势并安排生产计划，按需生产，并使各个环节在满足需求； 提升质检水平，提高产品良品率。 其中，结合了人工智能的机器视觉技术在工业领域中应用广泛，核心功能包括产品识别、测量、定位及检测，是实现产品分拣、装配、搬运、质检等多个生产环节智能化转型的核心技术，相较于人工生产具备降本增效等显著优势。 例如，质检分拣作为工业最关键的环节，AI技术的应用被寄予厚望。 一方面，人工质检准确性低、速度慢，影响生产效率。在传统工业流程中，传统质检主要通过人工进行产品质量检查、产品分拣，但人工检测有延时和误差，一定程度上会影响质检的准确性。而且，少量作业时人工检测的方式可取，但任务重的时候，检查效率低，审核质量不稳定出现的概率会增加。 另一方面，质量检测的人力投入成本高，招聘难且人员离职率高。不可否认，随着国内劳动力成本不断提升，成本高、效率低也就成为阻碍工业企业快速发展的“拦路虎”。

　　“Billions of better decisions” highlights the role of Industrial IoT solutions in reaching sustainability goals while empowering the industrial workforce

　　International survey of 765 decision-makers reveals that while 96 percent believe digitalization is “essential to sustainability,” just 35 percent have implemented Industrial IoT solutions at scale

　　2 percent of companies are increasing investment in Industrial IoT specifically to address sustainability aims

　　ABB today released the findings of a new global study1 of international business and technology leaders on industrial transformation, looking at the intersection of digitalization and sustainability. The study, “Billions of better decisions: industrial transformation’s new imperative,” examines the current take-up of the Industrial Internet of Things (IoT) and its potential for improving energy efficiency, lowering greenhouse gas emissions and driving change. The goal of the new ABB research is to spur discussion within industry regarding opportunities to leverage the Industrial IoT and empower companies and workers to make better decisions that can benefit both sustainability and the bottom line.

　　“Sustainability goals more and more are a crucial driver of business value and company reputation, and Industrial IoT solutions are playing an increasingly important role in helping enterprises achieve safe, smart and sustainable operations,” said Peter Terwiesch, President of ABB’s Process Automation business area. “Unlocking insights hidden in operational data holds the key to enabling literally billions of better decisions throughout industry and acting upon them, with significant gains in productivity, reduced energy consumption and lower environmental impact.”

　　The study, commissioned by ABB, found that an organization’s “future competitiveness” is the single greatest factor – cited by 46 percent of respondents – in industrial companies’ increased focus on sustainability. Yet while 96 percent of global decision-makers view digitalization as “essential to sustainability,” only 35 percent of surveyed firms have implemented Industrial IoT solutions at scale. This gap shows that while many of today’s industrial leaders recognize the important relationship between digitalization and sustainability, the adoption of relevant digital solutions to enable better decisions and achieve sustainability goals needs to accelerate in sectors like manufacturing, energy, buildings and transport.

　　以下是我司【主营产品】，有需要可以发来帮您对比下价格哦!

　　〖⒈〗ABB系列产品===PLC模块，可编程控制器，CPU模块，IO模块，DO模块，AI模块，DI模块，触摸屏，驱动器，IGCT。

　　〖⒉〗Schneider(施耐德电气)系列产品===140CPU系列，140CPE系列，140全系列模块

　　〖⒊〗General electric(通用电气)系列产品===IS200系列，IC693系列，IC695系列，IC698系列，CPU模块及其他GE全系列产品

　　〖⒋〗Westinghouse（美国西屋）系列产品===1C31系列，5X00系列等 西屋模块。

　　〖5〗Allen-Bradley(美国AB)系列产品===1756系列，1769系列，AB全系列产品可订货。

　　〖6〗Invensys Foxboro（福克斯波罗）===FCP系列，FCM系列，FBM系列

　　〖7〗Bosch Rexroth（博世力士乐）===控制器，驱动器，电机，放大板

　　〖8〗TRNEX （英维思）===3721 ，3625 ，3101 ，3503E，4351B，等等英维思全系列模块

　　〖9〗BENTLY （本特利）===3500系列，3300系列等 本特利各系列模块

　　〖10〗HONEYWELL（霍尼韦尔）===CC系列，05701系列，513系列，514系列等，霍尼韦尔各系列模块。

　　〖11〗KOLLMORGEN（科尔摩根）===S203系列驱动器，6SM系列电机等，各系列驱动器，控制器，电机

　　更多欧美进口品牌欢迎您来询价，我将会给您一个比同行更美丽的价格，厦门雄霸期待与您长期合作携手共赢！

　　Win-win scenarios with the Industrial IoT

　　With 63 percent of executives surveyed strongly agreeing that sustainability is good for their company’s bottom line, and 58 percent also strongly agreeing it delivers immediate business value, it’s clear that sustainability and traditional priorities of Industry 4.0 efforts – speed, innovation, productivity, efficiency, customer-centricity – are increasingly intertwined, opening up win-win scenarios for companies looking to drive efficiency and productivity while making strides on climate change.

　　“The International Energy Agency2 estimates that industry accounts for more than 40 percent of global greenhouse gas emissions today,” said Terwiesch. “If we are to reach climate objectives such as the UN’s Sustainable Development Goals and the Paris Agreement, industrial organizations need to implement digital solutions as part of their sustainability strategies. Embracing these technologies at all levels – from the boardroom to the facility floor – is key, as every member of the industrial workforce can become a better decision-maker when it comes to sustainability.”

　　ABB innovations for sustainability

　　ABB is committed to leading with technology to enable a low-carbon society and a more sustainable world. Over the past two years, ABB has reduced greenhouse gas emissions from its own operations by more than 25 percent. As part of its Sustainability strategy 2030, ABB expects to be fully carbon neutral by decade’s end and to support its global customers in reducing their annual CO2 emissions by at least 100 megatons by 2030, the equivalent of removing 30 million combustion cars from the roads each year.

　　ABB’s investments in digital capabilities are core to this commitment. With more than 70 percent of ABB’s R&D resources dedicated to digital and software innovations, and a robust ecosystem of digital partners, including Microsoft, IBM and Ericsson, the company has established a leading presence in Industrial IoT.

　　The ABB AbilityTM portfolio of digital solutions enables a host of industrial use cases to power improvements in energy efficiency, resource conservation and circularity, including condition monitoring, asset health and management, predictive maintenance, energy management, simulation and virtual commissioning, remote support and collaborative operations. Examples of ABB’s more than 170 Industrial IoT solutions include ABB AbilityTMGenix industrial analytics and AI suite; ABB AbilityTM Energy and Asset Manager; ABB AbilityTMCondition Monitoring for Powertrains; and ABB AbilityTM Connected Services for industrial