Intelligent Infrastructure: User-centred Remote Condition Monitoring (智慧基礎設施：以使用者為中心的遠端狀態監控)
Dadashi, Nastaran, Golightly, David, Sharples, Sarah
- 出版商: CRC
- 出版日期: 2025-01-30
- 售價: $2,400
- 貴賓價: 9.5 折 $2,280
- 語言: 英文
- 頁數: 144
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032521163
- ISBN-13: 9781032521169
尚未上市，無法訂購
相關主題
商品描述
With the development of sensor technology, wireless communications, big data, and machine learning, there is an increasing interest in technologies and solutions that assess and predict the state of equipment and assets within various industrial settings. These technologies aim to collect information from multiple sources about infrastructure asset status. Then, through current and historical data analysis, this configuration of technologies delivers intelligence on current and future asset status to a maintenance operator or manager to inform optimal maintenance decision-making. These technologies are known under different terms - remote condition monitoring, e-maintenance, prognostic systems, predictive maintenance, and smart or intelligent infrastructure. Despite the promise of remote condition monitoring and predictive technologies, there is a growing concern with such technologies because they can be difficult or impractical to use.
Understanding and mitigating potential human factors issues could ensure that such vast investments are not wasted. This book considers, in depth, the challenges placed on users of current and future condition monitoring systems. Its primary focus is to understand the cognitive processes, including managing alarms, interpreting data, and collaborating with automation. The book describes a range of human factors methods that can be used to understand the current and future functioning of people and technology in an enhanced maintenance and asset monitoring context. The book also presents a framework for describing these issues systematically and presents the resulting design considerations to increase the effectiveness of individual operators and organisations as a whole.
商品描述(中文翻譯)
隨著感測器技術、無線通信、大數據和機器學習的發展，對於評估和預測各種工業環境中設備和資產狀態的技術和解決方案的興趣日益增加。這些技術旨在從多個來源收集基礎設施資產狀態的信息。然後，通過對當前和歷史數據的分析，這些技術的配置向維護操作員或經理提供有關當前和未來資產狀態的智能，以便做出最佳的維護決策。這些技術被稱為不同的術語——遠程狀態監測、電子維護、預測系統、預測性維護以及智能基礎設施。儘管遠程狀態監測和預測技術具有潛力，但對這些技術的擔憂也在增加，因為它們可能難以或不切實際地使用。
理解和減輕潛在的人因問題可以確保這些龐大的投資不會被浪費。本書深入探討了當前和未來狀態監測系統使用者所面臨的挑戰。其主要重點是理解認知過程，包括管理警報、解釋數據和與自動化協作。本書描述了一系列人因方法，可用於理解在增強的維護和資產監測背景下人員和技術的當前和未來運作。本書還提出了一個系統性描述這些問題的框架，並提出相應的設計考量，以提高個別操作員和整體組織的有效性。
作者簡介
Dr Nastaran Dadashi is a researcher, educator and a Chartered human factors specialist. She has a PhD in Human Factors (Future Railway Intelligent Infrastructure) from the University of Nottingham (Human Factors Research Group), where she worked as a research fellow. As a researcher, she applies human factors principles to a broad range of industries, including nuclear, health care, and the creative sector. As an educator, Nastaran works with digital experience designers at George Brown College, Canada (School of Design), to ensure that the next generation of digital innovations is accessible, ethical, and responsible.
Dr David Golightly is Lecturer in Human-Systems Integration within the Future Mobility Group, School of Engineering, Newcastle University, UK. David is a Chartered Psychologist and Chartered Ergonomist, researching user-centred design for transport innovation and operations. This has included application of knowledge elicitation from experts for rail socio-technical systems modelling, and in the human aspects of operational safety and performance for transport systems. David has also applied knowledge elicitation and decision-making analyses in support accident and incident investigation, for manufacturing, and in hospital care co-ordination. Prior to his research career, David led commercial usability and user-centred design programmes at a global telecoms provider, and a FTSE100 fintech provider.
Professor Sarah Sharples is Professor of Human Factors at the University of Nottingham. From 2015-16 she was President of the Chartered Institute of Ergonomics and Human Factors. She is co-Editor of the Ergonomics and Human Factors text book 'Evaluation of Human Work: 4th edition'. In 2021 she was appointed as Chief Scientific Adviser to the Department for Transport.
Richard Bye is Head of Ergonomics and Human Factors at Network Rail. With more than 15 years of hands-on human factors experience in the rail industry, he has been involved in a wide range of physical, cognitive and organisational ergonomics projects. Richard has worked on initiatives as diverse as the assurance of safety-critical operational processes, the introduction of smartphones and tablets for frontline track workers, the development of decision support tools for the railway's internet of things, and the implementation of new technology to increase the resilience of real-time rail operations.
作者簡介(中文翻譯)
Dr. Nastaran Dadashi 是一位研究者、教育者及特許人因專家。她擁有諾丁漢大學（人因研究小組）的人因學博士學位，研究主題為未來鐵路智能基礎設施，並曾擔任研究員。作為研究者，她將人因原則應用於多個行業，包括核能、醫療保健及創意產業。作為教育者，Nastaran 與加拿大喬治布朗學院（設計學院）的數位體驗設計師合作，確保下一代數位創新具備可及性、倫理性及責任感。
David Golightly 博士是英國紐卡斯大學工程學院未來移動小組的人系統整合講師。David 是特許心理學家及特許人因學家，專注於運輸創新及運營的以使用者為中心的設計研究。這包括從專家那裡獲取知識以進行鐵路社會技術系統建模，以及研究運輸系統的操作安全與性能的人因方面。David 也在製造業及醫院護理協調中應用知識獲取及決策分析，以支持事故及事件調查。在從事研究之前，David 曾在一家全球電信供應商及一家 FTSE100 金融科技公司領導商業可用性及以使用者為中心的設計計劃。
Sarah Sharples 教授是諾丁漢大學的人因學教授。2015年至2016年，她擔任特許人因學及人因學會的會長。她是《人類工作評估：第四版》這本人因學及人因學教科書的共同編輯。2021年，她被任命為交通部的首席科學顧問。
Richard Bye 是網絡鐵路的人因學及人因專家部門負責人。擁有超過15年的鐵路行業人因實務經驗，他參與了多個物理、認知及組織人因學項目。Richard 曾參與多項多樣的計劃，包括確保安全關鍵操作流程的安全性、為前線軌道工人引入智能手機和平板電腦、為鐵路物聯網開發決策支持工具，以及實施新技術以提高實時鐵路運營的韌性。
