A Human-Centric Model for Sustainable Asset Management in Railway: A Case Study

The ongoing digital transformation is changing asset management in the railway industry. Emerging digital technologies and Artificial Intelligence is expected to facilitate decision-making in management, operation, and maintenance of railway by providing an integrated data-driven and model-driven solution. An important aspect when developing decision-support solutions based on AI and digital technology is the users’ experience. User experience design process aims to create relevance, context-awareness, and meaningfulness for the end-user. In railway contexts, it is believed that applying a human-centric design model in the development of AI-based artefacts, will enhance the usability of the solution, which will have a positive impact on the decision-making processes. In this research, the applicability of such advanced technologies i.e., Virtual Reality, Mixed Reality, and AI have been reviewed for the railway asset management. To carry out this research work, literature review has been conducted related to available Virtual Reality/Augmented Reality/Mixed Reality technologies and their applications within railway industry. It has been found that these technologies are available, but not applied in railway asset management. Thus, the aim of this paper is to propose a human-centric design model for the enhancement of railway asset management using Artificial Intelligence, Virtual Reality, and Mixed Reality technologies. The practical implication of the findings from this work will benefit in increased efficiency and effectiveness of the operation and maintenance processes in railway.

Dilemma in the Development of Modern Timber Architecture and Its Countermeasures

Under the context that “peak carbon emissions” and “carbon neutrality” are included in the overall plan for the construction of ecological civilization in China, this paper discusses the value of modern timber architecture as a form of low-carbon and environmental protection movement in the whole life cycle of the construction field. It mainly analyzes the reasons for the limited resources, misunderstandings of inherent concepts, the high cost of comprehensive construction, and the shortage of professionals. Based on that, several countermeasures have been proposed, such as perfecting relevant norms and policies, strengthening technology research and development as well as demonstration guidance, moderately developing forest resources, applying digital construction operation and maintenance technology, as well as cultivating compound professionals, all of which provide a reference for the development of ecological benefits in China’s construction industry.

A Review of Predictive and Prescriptive Offshore Wind Farm Operation and Maintenance

Offshore wind farms are a rapidly developing source of clean, low-carbon energy and as they continue to grow in scale and capacity, so does the requirement for their efficient and optimised operation and maintenance. Historically, approaches to maintenance have been purely reactive. However, there is a movement in offshore wind, and wider industry in general, towards more proactive, condition-based maintenance approaches which rely on operational data-driven decision making. This paper reviews the current efforts in proactive maintenance strategies, both predictive and prescriptive, of which the latter is an evolution of the former. Both use operational data to determine whether a turbine component will fail in order to provide sufficient warning to carry out necessary maintenance. Prescriptive strategies also provide optimised maintenance actions, incorporating predictions into a wider maintenance plan to address predicted failure modes. Beginning with a summary of common techniques used across both strategies, this review moves on to discuss their respective applications in offshore wind operation and maintenance. This review concludes with suggested areas for future work, underlining the need for models which can be simply incorporated by site operators and integrate live data whilst handling uncertainties. A need for further focus on medium-term planning strategies is also highlighted along with consideration of the question of how to quantify the impact of a proactive maintenance strategy.

Digital Twin-Driven Condition-Based Maintenance

The world is witnessing an all-level digitalization that guides the industry and business to a restructuration in order to adapt to the new requirements of the surrounding environment. That change also concerns the labour of the technical professionals and their formation. As a consequence of this deep consciousness-raising, this chapter will investigate and develop simulation models based on the current digitalization. The aim of this chapter is the exposition of a real case development of “digital twin” models framed as part of the condition-based maintenance paradigm to improve real-time assets operation and maintenance. This model contributes by providing real-time results that could turn into a basis for the industrial management decisions and place them in the Industry 4.0 paradigm environment.

SISTEM INFORMASI PERSEDIAN STOK BAHAN BAKU TOKO KOPI DENGAN MENGGUNAKAN METODE WATERFALL

Kegiatan penjualan produk olahan kangkung di daerah Kampung Kangkung Sumber Rejo, Kecamatan Balikpapan Tengah. dilaksanakan oleh masyarakat Kampung Kangkung Sumber Rejo. Penjualan produk olahan kangkung saat ini masih secara konvensional dengan menawarkan ke toko-toko sekitar Kampung Kangkung Sumber Rejo dan pasar tradisional daerah Balikapapan. Proses penjualan produk olahan kangkung masih cukup terbatas di daerah Balikpapan. Masyarakat Balikapapan masih kurang mengetahui keberadaan Kampung Kangkung Sumber Rejo sehingga masih belum cukup luas cakupan pemasaran produk olahan Kangkung. Berdasarkan permasalahan tersebut maka dilakukan perancangan sebuah website penjualan produk olahan kangkung untuk Kampung Kangkung Sumber Rejo dengan nama SIKANGBEJO dengan menggunkan metode waterfall. Pengembambangan website ini menggunggunakan metode waterfall, yang terdiri dari enam aktifitas, yaitu requirement definition, system and software design, implementation and unit testing, integration and system testing, dan operation and maintenance. Pada penelitian ini menghasil 28 kebutuhan fungsional, 8 kebutuhan non-fungsional dan 3 Kebutuhan informasi, dan juga ada tiga aktor yaitu admin, user, dan pengguna umum yang memliliki peran sesuai dengan kebutuhan masing-masing aktor.pada hasil pengujian menggunakan Teknik blackbox dan white box testing yang mana 8 pengujian dengan hasil valid dan sesuai yang diharapkan.

Big Data in Railway O&M

Railway systems are complex with respect to technology and operations with the involvement of a wide range of human actors, organizations and technical solutions. For the operations and control of such complexity, a viable solution is to apply intelligent computerized systems, for instance, computerized traffic control systems for coordinating airline transportation, or advanced monitoring and diagnostic systems in vehicles. Moreover, transportation assets cannot compromise the safety of the passengers by only applying operation and maintenance activities. Indeed, safety is a more difficult goal to achieve using traditional maintenance strategies and computerized solutions come into the picture as the only option to deal with complex systems interacting among them and trying to balance the growth in technical complexity together with stable and acceptable dependability indexes. Big data analytics are expected to improve the overall performance of the railways supported by smart systems and Internet-based solutions. Operation and Maintenance will be application areas, where benefits will be visible as a consequence of big data policies due to diagnosis and prognosis capabilities provided to the whole network of processes. This chapter shows the possibilities of applying the big data concept in the railway transportation industry and the positive effects on technology and operations from a systems perspective.