智能运动增长驱动力

四个关键增长驱动因素正在加速智能运动控制：降低能源消耗、敏捷生产、数字化转型，以及转向基于智能制造中减少停机时间和提高资产利用率的基于服务的新业务模式。让我们详细了解这四个关键增长驱动因素中的每一个。

减少能源消耗

工业消耗的近 70% 的电力用于电动机系统。智能运动解决方案正在并将继续通过将更多应用从定速电机转移到高效电机和变速驱动器来显着降低能耗，部分原因是能源效率法规。这种能源消耗的减少将使制造更加可持续。获得优化制造流程的运动洞察力将进一步降低智能制造中的能源消耗。

敏捷生产

随着行业不断适应消费者需求和不断变化的购买者行为，需要基于可重构生产线的敏捷生产来提供更多定制化和更快的周转时间。消费者需求正在推动从低混合、大批量制造向高混合、小批量制造的转变，这要求工厂车间具有更大的灵活性。

工业机器人现在可以执行复杂、重复且通常很危险的任务，从而提高产量和生产力。敏捷生产提高了中断时期的弹性，并能够更快地响应不断变化的客户需求。



 

数字化转型

到 2023 年，全球数字化转型支出将达到 6.8 万亿美元。2 变速驱动器和伺服驱动器使用来自电压、电流、位置、温度、功率、能耗的数据以及用于监测振动和其他过程变量的外部传感器。借助融合的信息技术/运营技术 (IT/OT) 以太网，运动应用程序可以联网在一起，传递数据和洞察力。运动数据和洞察力现在更易于访问，并且可以通过强大的云计算和人工智能进行分析，以优化制造流程并监控整个装置中资产的当前健康状况。



以下是我司【主营产品】，有需要可以发来帮您对比下价格哦!

主营：世界品牌的PLC 、DCS 系统备件 模块

①Allen-Bradley(美国AB)系列产品》

②Schneider(施耐德电气)系列产品》

③General electric(通用电气)系列产品》

④Westinghouse(美国西屋)系列产品》

⑤SIEMENS(西门子系列产品)》

⑥销售ABB Robots. FANUC Robots、YASKAWA Robots、KUKA Robots、Mitsubishi Robots、OTC Robots、Panasonic Robots、MOTOMAN Robots。

⑦estinghouse(西屋)： OVATION系统、WDPF系统、MAX0系统备件。

⑧Invensys Foxboro(福克斯波罗)：I/A Series系统，FBM(现场输入/输出模块)顺序控制、梯形逻辑控制、事故追忆处理、数模转换、输入/输出信号处理、数据通信及处理等。Invensys Triconex: 冗余容错控制系统、基于三重模件冗余(TMR)结构的现代化的容错控制器。

⑨Siemens(西门子)：Siemens MOORE， Siemens Simatic C1，Siemens数控系统等。

⑩Bosch Rexroth(博世力士乐)：Indramat，I/O模块,PLC控制器,驱动模块等。

◆Motorola(摩托)：MVME 162、MVME 167、MVME1772、MVME177等系列。

PLC模块，可编程控制器，CPU模块，IO模块，DO模块，AI模块，DI模块，网通信模块，

以太网模块，运动控制模块，模拟量输入模块，模拟量输出模块，数字输入模块，数字输出

模块，冗余模块，电源模块，继电器输出模块，继电器输入模块，处理器模块。



 

Intelligent motion control is being accelerated by four key growth drivers: reduced energy consumption, agile production, digital transformation, and the move toward new service-based business models based on reducing downtime and increasing asset utilization in smart manufacturing. Let’s look at each of these four key growth drivers in detail.

Reduced energy consumption

Almost 70% of electricity consumed by industry is used by electric motor systems. Intelligent motion solutions are delivering and will continue to deliver significant reductions in energy consumption by moving more applications from fixed speed motors to high efficiency motors and variable speed drives, in part driven by energy efficiency regulations. This reduction in energy consumption will enable more sustainable manufacturing. Access to motion insights that optimize a manufacturing flow will further reduce energy consumption in smart manufacturing.

Agile production

As industries are adapting to keep up with consumer demand and changing buyer behaviors, agile production, based on reconfigurable production lines, is required to deliver more customization and faster turn-around times. Consumer demand is driving a shift away from low mix, high volume manufacturing toward high mix, low volume manufacturing, which demands greater flexibility on the factory floor.

Complex, repetitive, and often dangerous tasks can now be performed by industrial robots, leading to higher throughput and increased productivity. Agile production increases resilience in a time of disruption and enables a faster response to changing customer demands.

Digital transformation

Global spending on digital transformation will reach $6.8 trillion globally by 2023.2 Variable speed drives and servo drives use data from voltages, currents, position, temperature, power, energy consumption combined with external sensors for monitoring vibration, and other process variables. With a converged information technology/operating technology (IT/OT) Ethernet network, motion applications are networked together communicating data and insights. Motion data and insights are now more accessible and can be analyzed by powerful cloud computing and AI to optimize manufacturing flows and monitor the current state of health of the assets across the entire installation.