軟體定義自動化 - 為下一代製造業鋪路

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個工作天內

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簡介目錄

工業正在走向分散式、靈活和開放的自動化架構

軟體定義自動化 (SDA) 代表了工業和製造控制系統的模式轉移，解決了傳統操作技術(OT) 架構的限制。越來越多的專有、硬體密集型自動化系統即將到達其生命週期的末期，並阻礙了動態生產環境中的創新、可擴展性和適應性。 SDA 是一種創新解決方案，它提供了分散式、靈活和開放的自動化架構，符合現代製造業不斷變化的需求。

這種新方法將硬體和軟體分離，提高了互通性並實現了與供應商無關的實施。透過虛擬控制系統，SDA 支援部署在 Windows 或 Linux 伺服器、工業 PC 或微電腦上運行的軟 PLC 或與硬體無關的基於軟體的控制器。這種虛擬策略允許在不中斷生產的情況下改變機器和流程，從而減少停機時間和成本。

SDA也促進了數位雙胞胎模型的實施，使製造商能夠在實際試運行之前在虛擬環境中設計、最佳化、測試和檢驗機器解決方案。與傳統方法相比，此功能可讓您大幅減少錯誤、節省時間和成本、並將產品上市時間縮短高達 50% 並將試運行時間縮短高達 60%。

隨著工業向工業 4.0 和智慧製造邁進，SDA 將在未來工廠的建設中發揮關鍵作用。我們幫助您建立高度自動化、靈活的生產設施，可以快速回應市場變化和個人化客戶需求。在 SDA 框架內整合工業物聯網 (IIoT)、人工智慧 (AI) 和機器學習 (ML) 等技術，可實現即時資料分析、預測性維護和最佳化資源利用率。

這種轉變不僅提高了效率、減少了錯誤，而且還透過最佳化材料和能源的使用促進了更永續的製造方法。 SDA 透過將運算和儲存資源整合到一組中央服務中，降低能源消耗和硬體需求，使組織更加永續性。

此外，SDA 滿足了製造環境中日益成長的 IT/OT 融合需求。透過在 OT 領域採用 DevOps 和持續整合等 IT 最佳實踐，SDA 可以顯著提高製造流程的效率和靈活性，同時保持 OT 系統的至高安全性和可靠性。

當製造業面臨技能短缺和需要快速創新等挑戰時，SDA 提供了一種前進的方法。 SDA 簡化了複雜的自動化環境，實現了遠端管理和監控，並支援培養熟悉現代以軟體為中心的工具和環境的更熟練的勞動力。

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.

Strategic Imperatives

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