软体定义自动化 - 为下一代製造业铺路

Software-defined Automation-Charting the Course for Next-generation Manufacturing

出版日期: 2024年12月11日 | 出版商:

Frost & Sullivan | 英文 29 Pages | 商品交期: 最快1-2个工作天内

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简介目录

工业正在走向分散式、灵活和开放的自动化架构

软体定义自动化 (SDA) 代表了工业和製造控制系统的模式转移，解决了传统操作技术(OT) 架构的限制。越来越多的专有、硬体密集型自动化系统即将到达其生命週期的末期，并阻碍了动态生产环境中的创新、可扩展性和适应性。 SDA 是一种创新解决方案，它提供了分散式、灵活和开放的自动化架构，符合现代製造业不断变化的需求。

这种新方法将硬体和软体分离，提高了互通性并实现了与供应商无关的实施。透过虚拟控制系统，SDA 支援部署在 Windows 或 Linux 伺服器、工业 PC 或微电脑上运行的软 PLC 或与硬体无关的基于软体的控制器。这种虚拟策略允许在不中断生产的情况下改变机器和流程，从而减少停机时间和成本。

SDA也促进了数位双胞胎模型的实施，使製造商能够在实际试运行之前在虚拟环境中设计、最佳化、测试和检验机器解决方案。与传统方法相比，此功能可让您大幅减少错误、节省时间和成本、并将产品上市时间缩短高达 50% 并将试运行时间缩短高达 60%。

随着工业向工业 4.0 和智慧製造迈进，SDA 将在未来工厂的建设中发挥关键作用。我们帮助您建立高度自动化、灵活的生产设施，可以快速回应市场变化和个人化客户需求。在 SDA 框架内整合工业物联网 (IIoT)、人工智慧 (AI) 和机器学习 (ML) 等技术，可实现即时资料分析、预测性维护和优化资源利用率。

这种转变不仅提高了效率、减少了错误，而且还透过优化材料和能源的使用促进了更永续的製造方法。 SDA 透过将运算和储存资源整合到一组中央服务中，降低能源消耗和硬体需求，使组织更加永续性。

此外，SDA 满足了製造环境中日益增长的 IT/OT 融合需求。透过在 OT 领域采用 DevOps 和持续整合等 IT 最佳实践，SDA 可以显着提高製造流程的效率和灵活性，同时保持 OT 系统的至高安全性和可靠性。

当製造业面临技能短缺和需要快速创新等挑战时，SDA 提供了一种前进的方法。 SDA 简化了复杂的自动化环境，实现了远端管理和监控，并支援培养熟悉现代以软体为中心的工具和环境的更熟练的劳动力。

Software-defined automation (SDA) represents a paradigm shift in industrial and manufacturing control systems that addresses traditional operational technology (OT) architectures' limitations. As proprietary, hardware-intensive automation systems reach the end of their life cycles, they increasingly hinder innovation, scalability, and adaptability in dynamic production environments. SDA emerges as a transformative solution, offering decentralized, flexible, and open automation architecture that aligns with modern manufacturing's evolving needs.

This new approach decouples hardware from software, enabling greater interoperability and vendor-agnostic implementations. By virtualizing control systems, SDA allows the deployment of soft PLCs or hardware-agnostic, software-based controllers that can run on any Windows or Linux server, industrial PC, or microcomputer. This virtualization strategy enables changes to machines and processes without pausing production; it also reduces downtime and costs.

SDA also facilitates the implementation of digital twin models, allowing manufacturers to design, optimize, test, and validate machine solutions in a virtual environment before real-world commissioning. This capability can significantly reduce errors, save time and money, and accelerate time-to-market by up to 50% and commissioning time by up to 60% compared to traditional approaches.

As industries move toward Industry 4.0 and smart manufacturing, SDA will play a pivotal role in enabling the factory of the future. It supports the creation of highly automated, flexible production facilities that can swiftly respond to market changes and individual customer needs. The integration of technologies such as the Industrial Internet of Things (IIoT), artificial intelligence (AI), and machine learning (ML) within the SDA framework enables real-time data analytics, predictive maintenance, and optimized resource utilization.

This transition not only improves efficiency and reduces errors but also contributes to more sustainable manufacturing practices by optimizing material and energy use. SDA enhances organizational sustainability by consolidating computing and storage resources into a set of central services, reducing energy consumption and hardware requirements.

Furthermore, SDA addresses the growing need for IT/OT convergence in manufacturing environments. By adopting IT best practices such as DevOps and continuous integration in the OT space, SDA can significantly enhance the efficiency and agility of manufacturing processes while maintaining the critical focus on safety and reliability that is paramount in OT systems.

As the manufacturing sector faces challenges such as skill shortages and the need for rapid innovation, SDA offers a path forward. It simplifies complex automation landscapes, enables remote management and monitoring, and supports the development of a more skilled and engaged workforce familiar with modern, software-centric tools and environments.

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