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        羅克韋爾自動化報告強(qiáng)調(diào)人工智能、物聯(lián)網(wǎng)和網(wǎng)絡(luò)安全是數(shù)字化轉(zhuǎn)型的關(guān)鍵驅(qū)動力

        http://www.kblhh.cn 2025-10-24 15:47 《中華工控網(wǎng)》翻譯

        Rockwell Automation Report Highlights AI, IoT and Cybersecurity as Key Drivers for Digital Transformation
        羅克韋爾自動化報告強(qiáng)調(diào)人工智能、物聯(lián)網(wǎng)和網(wǎng)絡(luò)安全是數(shù)字化轉(zhuǎn)型的關(guān)鍵驅(qū)動力

        Rockwell Automation, Inc., the world’s largest company dedicated to industrial automation and digital transformation, recently released a commissioned report by GlobalData on key technologies in the oil and gas industry.

        全球最大的致力于工業(yè)自動化和數(shù)字化轉(zhuǎn)型的公司羅克韋爾自動化公司最近發(fā)布了一份由GlobalData委托撰寫的關(guān)于石油和天然氣行業(yè)關(guān)鍵技術(shù)的報告。

        According to the Oil and Gas Technology Outlook for 2030 and Beyond, oil and gas companies are undergoing a seismic shift, driven by rapid digitalization and the integration of advanced technologies. The report reveals that artificial intelligence (AI), the Internet of Things (IoT), and cybersecurity are at the forefront of this transformation, reshaping operations from exploration to refinement.

        根據(jù)這份名為《2030年及以后石油和天然氣技術(shù)展望》報告,在快速數(shù)字化和先進(jìn)技術(shù)融合的推動下,石油和天然氣公司正在經(jīng)歷一場巨變。報告指出,人工智能 (AI)、物聯(lián)網(wǎng) (IoT) 和網(wǎng)絡(luò)安全處于這場變革的前沿,正在重塑從勘探到精煉的整個運(yùn)營流程。

        The report outlines five critical findings:

        該報告概述了五項重要發(fā)現(xiàn):

        1. Digitalization is now a strategic imperative
        Companies are moving beyond isolated tech deployments to fully integrated digital ecosystems. Over 50% of industry leaders report that technologies like cloud computing, cybersecurity, and AI are already disrupting their operations.

        1.數(shù)字化已成為戰(zhàn)略要務(wù)
        企業(yè)正在從孤立的技術(shù)部署轉(zhuǎn)向全面整合的數(shù)字生態(tài)系統(tǒng)。超過50%的行業(yè)領(lǐng)導(dǎo)者表示,云計算、網(wǎng)絡(luò)安全和人工智能等技術(shù)已經(jīng)顛覆了他們的運(yùn)營模式。

        2. Key drivers fueling adoption
        Technological innovation, environmental compliance, supply chain resilience and workforce challenges are accelerating the need for digital solutions. Predictive maintenance, remote monitoring, and automation are helping companies reduce downtime and improve safety.

        2. 推動采用的關(guān)鍵驅(qū)動因素
        技術(shù)創(chuàng)新、環(huán)境合規(guī)、供應(yīng)鏈韌性以及勞動力挑戰(zhàn)正在加速對數(shù)字化解決方案的需求。預(yù)測性維護(hù)、遠(yuǎn)程監(jiān)控和自動化正在幫助企業(yè)減少停機(jī)時間并提高安全性。

        3. Emerging technologies reshape operations
        AI is being used to optimize drilling paths, forecast demand, and enhance refining processes. IoT sensors provide real-time data for equipment health and environmental monitoring. Electrification and smart motor systems are helping reduce emissions and energy costs.

        3. 新興技術(shù)重塑運(yùn)營
        人工智能正被用于優(yōu)化鉆井路徑、預(yù)測需求并改進(jìn)煉油工藝。物聯(lián)網(wǎng)傳感器為設(shè)備健康和環(huán)境監(jiān)測提供實時數(shù)據(jù)。電氣化和智能電機(jī)系統(tǒng)正在幫助減少排放和能源成本。

        4. Strategic roadmap for digital success
        The report emphasizes the importance of a clear digital strategy, choosing the right delivery model (e.g., SaaS or hybrid partnerships), and fostering a digital-first workforce. Companies must also stay ahead of evolving tech and data regulations.

        4. 數(shù)字化成功的戰(zhàn)略路線圖
        報告強(qiáng)調(diào)了清晰的數(shù)字化戰(zhàn)略、選擇合適的交付模式(例如 SaaS 或混合合作伙伴關(guān)系)以及培養(yǎng)數(shù)字化優(yōu)先的員工隊伍的重要性。企業(yè)還必須緊跟不斷變化的技術(shù)和數(shù)據(jù)法規(guī)。

        5. AI as the central innovation engine
        With projected spending in the energy sector reaching $18.5 billion by 2028, AI is enabling smarter decision-making, immersive training, and autonomous operations. Its integration with digital twins, edge computing, and VR/AR is unlocking new efficiencies across the value chain. “The convergence of information and operational technology is redefining how energy companies operate,” said Fabio Mielli, strategic business developer, Rockwell Automation. “By aligning advanced digital tools with measurable production outcomes, we’re helping the industry build resilience and agility for the future.”

        5. 人工智能作為核心創(chuàng)新引擎
        預(yù)計到2028年,能源行業(yè)的支出將達(dá)到185億美元,人工智能正在賦能更智能的決策、沉浸式培訓(xùn)和自主運(yùn)營。人工智能與數(shù)字孿生、邊緣計算以及VR/AR技術(shù)的融合,正在釋放整個價值鏈的全新效率。羅克韋爾自動化戰(zhàn)略業(yè)務(wù)拓展官Fabio Mielli表示:“信息與運(yùn)營技術(shù)的融合正在重新定義能源公司的運(yùn)營方式。通過將先進(jìn)的數(shù)字化工具與可衡量的生產(chǎn)成果相結(jié)合,我們正在幫助行業(yè)構(gòu)建面向未來的韌性和敏捷性。”

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