scholarly journals IoT Open-Source Architecture for the Maintenance of Building Facilities

2021 ◽  
Vol 11 (12) ◽  
pp. 5374
Author(s):  
Valentina Villa ◽  
Berardo Naticchia ◽  
Giulia Bruno ◽  
Khurshid Aliev ◽  
Paolo Piantanida ◽  
...  
Keyword(s):  
Open Source ◽  
Real Time ◽  
Preventive Maintenance ◽  
3D Visualization ◽  
Predictive Maintenance ◽  
Information Modeling ◽  
Automated System ◽  
Building Structures ◽  
Time Data ◽  
Time Operation

The introduction of the Internet of Things (IoT) in the construction industry is evolving facility maintenance (FM) towards predictive maintenance development. Predictive maintenance of building facilities requires continuously updated data on construction components to be acquired through integrated sensors. The main challenges in developing predictive maintenance tools for building facilities is IoT integration, IoT data visualization on the building 3D model and implementation of maintenance management system on the IoT and building information modeling (BIM). The current 3D building models do not fully interact with IoT building facilities data. Data integration in BIM is challenging. The research aims to integrate IoT alert systems with BIM models to monitor building facilities during the operational phase and to visualize building facilities’ conditions virtually. To provide efficient maintenance services for building facilities this research proposes an integration of a digital framework based on IoT and BIM platforms. Sensors applied in the building systems and IoT technology on a cloud platform with opensource tools and standards enable monitoring of real-time operation and detecting of different kinds of faults in case of malfunction or failure, therefore sending alerts to facility managers and operators. Proposed preventive maintenance methodology applied on a proof-of-concept heating, ventilation and air conditioning (HVAC) plant adopts open source IoT sensor networks. The results show that the integrated IoT and BIM dashboard framework and implemented building structures preventive maintenance methodology are applicable and promising. The automated system architecture of building facilities is intended to provide a reliable and practical tool for real-time data acquisition. Analysis and 3D visualization to support intelligent monitoring of the indoor condition in buildings will enable the facility managers to make faster and better decisions and to improve building facilities’ real time monitoring with fallouts on the maintenance timeliness.

The Application of Real-Time Monitor System Based on 3D Visualization Technology

2013 ◽  
Vol 373-375 ◽  
pp. 888-891
Author(s):  
Fang Liu ◽  
Wei Tong ◽  
Zhi Jun Qian ◽  
Yu Hong Dong
Keyword(s):  
Real Time ◽  
Virtual Environment ◽  
3D Visualization ◽  
Laboratory Model ◽  
Monitor System ◽  
Time Data ◽  
Virtual Scene ◽  
The Real ◽  
Real Time Data ◽  
Visualization Technology

This paper introduced the laboratory model of Real-time monitor system based on the 3D Visualization for calefaction furnace, depicted the process of the model.In this paper we created a virtual environment and transport the real-time data which we collected from the locale to the virtual scene,to realize the real time monitor on the real environment.Through simulating in the lab,the effect of this system was realistic at the same time it arrived at the goal of better monitoring with better real-time.

scholarly journals Integrated Visualization Approach for Real-Time and Dynamic Assessment of Storm Surge Disasters for China’s Seas

2020 ◽  
Vol 9 (1) ◽  
pp. 51 ◽  
Author(s):  
Lin Zhou ◽  
Wei Hu ◽  
Zhen Jia ◽  
Xinfang Li ◽  
Yaru Li ◽  
...  
Keyword(s):  
Real Time ◽  
Storm Surge ◽  
Spatial Information ◽  
3D Visualization ◽  
Dynamic Assessment ◽  
Indicator System ◽  
Time Data ◽  
Term Operation ◽  
Visualization Technology ◽  
Assessment Results

For improved prevention and reduction of marine disasters, China’s marine authorities and emergency response agencies require a solution that provides risk assessment, early warning, and decision-making support. This paper proposes a comprehensive approach to disaster assessment that involves automated long-term operation, a spatial information visualization method and systematic integration. The proposed approach provides functions for numerical ocean models with forecast results, automated processing of massive data, multiple disaster/element coupled assessment, and multidimensional display and expression. With regard to storm surge disasters, the approach proposed in this paper adopts a four-tier structure and the functions of each tier are described separately. The original data are comprised of a combination of statistical analysis data and real-time data obtained from the unstructured grid Finite Volume Community Ocean Model. Automated data processing methods and assessment theories incorporating an indicator system and weighted parameters are used for the assessment. By applying 2D/3D visualization technology, assessment results are displayed via several modes for ease of operation and comprehension. The validity of the approach was verified by applying it to Typhoon Hato (No. 1713). Compared with the results of the post-disaster investigation, the assessment results of the proposed approach proved the reliability of the system.

Real-Time Riser Fatigue Monitoring Routine: Architecture, Data and Results

2013 ◽  
Author(s):  
Scot McNeill ◽  
Puneet Agarwal ◽  
Dan Kluk ◽  
Kenneth Bhalla ◽  
Tomokazu Saruhashi ◽  
...  
Keyword(s):  
Real Time ◽  
Fatigue Damage ◽  
Water Depth ◽  
Angular Rate ◽  
Measured Data ◽  
Automated System ◽  
Time Data ◽  
Joint Rotation ◽  
Computational Environment ◽  
Fatigue Monitoring

Recently, the Modal Decomposition and Reconstruction (MDR) algorithm was developed to accurately estimate fatigue damage in marine risers based on measured acceleration and angular rates at several locations. The greatest benefit for drilling risers can be derived by incorporating the method in an online, fully automated system. In this way, fatigue damage estimates are available to the crew on the rig in real-time for risk quantification and mitigation. To this end, the MDR routine was implemented for online assessment of fatigue damage along the entire riser from acceleration and angular rate measurements at typically 5–10 elevations. This paper discusses the architecture, highlights some measured data and provides results for modes, stress and fatigue damage rate for the Chikyu drilling vessel during two scientific drilling campaigns. These campaigns occurred at the Shimokita site (1180-meter water depth) and the Nankai trough site (1939-meter water depth). To the authors’ knowledge, real-time fatigue monitoring of the entire riser has not been accomplished previously. Robust incorporation of the MDR algorithm into an online computational environment is detailed, including incorporation of top tension and mud weight data from the rig, detection and removal of data errors, and streamlined flow of the data through the computational modules. Subsequently, it is shown by example how the measured accelerations and angular rates are used to determine excited modes, participating modes, stress distribution and fatigue damage along the entire Chikyu drilling riser in an online setting. The technology highlighted advances riser integrity management two steps forward by first using measured data at 5–10 locations and the MDR algorithm to reconstruct stress and fatigue damage along the entire riser, and secondly integrating this approach into a fully automated, real-time computational environment. As a result, drilling engineers are empowered with a tool that provides real-time data on the integrity of the drilling riser, enabling informed decisions to be made in adverse current or wave conditions. Measured data also serves as a benchmark for analytical model calibration activities, reducing conservatism in stress and fatigue in future deployments. Furthermore, cumulative fatigue damage can be tracked in each riser joint, enabling more effective joint rotation and inspection programs.

Realtime Wellbore Digitalization for Stimulations Using Multi-Well Fiber Optics

2021 ◽  
Author(s):  
Xinyang Li ◽  
Andres J. Chavarria ◽  
Yassine Oukaci
Keyword(s):  
Real Time ◽  
Fiber Optics ◽  
Near Field ◽  
Fracture Propagation ◽  
Field Strain ◽  
Far Field ◽  
Time Data ◽  
Strain Measurements ◽  
Well Stimulation ◽  
Time Operation

Abstract Distributed Fiber-optic Sensing (DFOS) provides real-time data acquisition, monitoring and diagnostics for well stimulation and well spacing assessment. These include measurements of Distributed Acoustic Sensing (DAS) with high frequency acoustics in treatment wells, and low frequency strain/temperature sensing in offset monitor ones. The goal of this integrated study is to show the value of multi-well fiber sensing for real time fracturing diagnostics and stimulation optimization. By integrating near field injection to far field strain responses we assess overall reservoir development. The availability of fibers on both the treatment well and a nearby observation well allows us to investigate the near-wellbore injection profile and the far-field strain fracture propagation. Quantitative strain levels clearly respond to the effects of well distance, location and treatment well stimulation design. Monitoring well strain measurements of fracture density and triggered stimulated span were logged and compared to acoustic signals in the nearfield stage by stage. DAS interpretation was conducted during the treatment of each stage indicating the effectiveness and efficiency of the completion design. Results show that this is a very effective tool to better understand the performance of the fracturing treatment by digital transformation using DAS data. In addition, acoustic and strain measurements also validated its diagnostic capability for real-time operation monitoring. In this presentation we show how the near-field acoustic and far-field strain measurements allow for better understanding of the completion efficiency. This is by assessing the far field response to quantified DAS injected signals in the treatment. This analysis takes advantage of fiber installation on both the treatment and nearby monitor well. The fluid and proppant allocations in the near field were performed on the treatment well using relative acoustic intensities. Meanwhile, the fracture propagation induced strain change is recorded by the offset fiber well. Using this fiber data reveals dominant clusters and stage bias from near-field injection profile. Simultaneously the far-field identified fracture counts from strain further enable a geomechanical assessment of the stimulated reservoir and assess the effectiveness of the completion design. Multiple DAS fiber equipped wells not only provide single diagnostic tool for each of the fiber well, but also demonstrate significant integrated assessment of the stimulation effectiveness, completion efficiency, well interaction, and reservoir description. Availability of near and far field measurements constitutes an important tool to assess properties of the reservoir. Here we show how different vantage points can help illuminate a fracturing program in unconventional reservoirs.

Connecting the Dots

2015 ◽  
pp. 345-357 ◽  
Author(s):  
Jing Zhou
Keyword(s):  
Cultural Heritage ◽  
Open Source ◽  
Real Time ◽  
Programming Language ◽  
Living Organism ◽  
Time Data ◽  
Real Time Data ◽  
Connecting The Dots ◽  
Graphical System ◽  
The Universe

This chapter presents the motivation, background, and implementation of Living Mandala: The Cosmic of Being1, an interactive graphics installation that combines real-time data, multi-cultural mandalas, scientific imagery, and cosmological symbols. Built with an open source programming language and environment, this living contemporary symbol is an exploration into uncharted territories of the human soul sculpted by our present time. Its interactive revolving graphical system visualizes our perceptions of life (microcosm) and the universe (macrocosm), our connections to ancient mythology, cosmology, and cultural heritage, and the relationships among humankind, science, technology, and nature in a globalized society. Merging rich historical, cultural, and scientific imagery and symbols with real-time data and relaxing sound, this living organism alters every moment responding to the movement, color, light, sound, and temperature of its surroundings.2

Flutrack.org: Open-source and linked data for epidemiology

2016 ◽  
Vol 22 (4) ◽  
pp. 962-974 ◽  
Author(s):  
Konstantinos Chorianopoulos ◽  
Karolos Talvis
Keyword(s):  
Information Systems ◽  
Open Source ◽  
Real Time ◽  
Health Information ◽  
Linked Data ◽  
Health Information Systems ◽  
Surveillance Data ◽  
Time Data ◽  
Public Health Information ◽  
Control And Prevention

Epidemiology has made advances, thanks to the availability of real-time surveillance data and by leveraging the geographic analysis of incidents. There are many health information systems that visualize the symptoms of influenza-like illness on a digital map, which is suitable for end-users, but it does not afford further processing and analysis. Existing systems have emphasized the collection, analysis, and visualization of surveillance data, but they have neglected a modular and interoperable design that integrates high-resolution geo-location with real-time data. As a remedy, we have built an open-source project and we have been operating an open service that detects flu-related symptoms and shares the data in real-time with anyone who wants to built upon this system. An analysis of a small number of precisely geo-located status updates (e.g. Twitter) correlates closely with the Google Flu Trends and the Centers for Disease Control and Prevention flu-positive reports. We suggest that public health information systems should embrace an open-source approach and offer linked data, in order to facilitate the development of an ecosystem of applications and services, and in order to be transparent to the general public interest.

scholarly journals Development and implementation of real-time data acquisition systems for fusion devices with Open Source software

2010 ◽  
Vol 85 (3-4) ◽  
pp. 378-382 ◽  
Author(s):  
M. Zilker ◽  
K. Behler ◽  
T. Bluhm ◽  
P. Heimann ◽  
Ch. Hennig ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Time Data ◽  
Data Acquisition Systems ◽  
Real Time Data

Digital Drilling in Holographic World

2021 ◽  
Author(s):  
Yu Fan ◽  
Jianhua Guo ◽  
Quan Cao ◽  
JingLun Ma ◽  
Jun Zhu ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Time Data ◽  
Gas Industry ◽  
The Real ◽  
Time Operation ◽  
Real Time Data ◽  
Real Time Operation ◽  
Human Cost ◽  
Operation Center

Abstract Nowadays oil & gas industry is receiving a bulk of data than ever before from its onsite wells where may hundred miles away from operator's headquarter, which benefits us monitoring and analyzing those digital fortune in a data hub, saving a lot of expenditure and improving the efficiency compared to old-fashioned approach which requires senior engineers with rich experience working on wellsite. In this way, the oil & gas operators save money tremendously on human cost under the booming of drilling operations. While, could we do more to dig out further values from those data? Make our operations less dependable on limited resources, the senior drilling engineers, especially when the oil and gas industry face the chasm of human resources sustainability after the hit of downturn, also make the plain real-time data more intuitive and self-explanatory to the operation decision makers in an unprecedented way. What's more, could we make our drilling activities more visible and interactive? This paper is going to introduce using augmented reality technology to create an intuitive platform to integrate and present real-time operation parameters and data. Like any revolutionary method or technology, it could improve the industry efficiency in a non-negligible way, help us manage massive real-time data more effectively and efficiently. The 3D holographic projection presents dynamic models or systems based on the data stream and graphic algorithm, which evolves our industry from 2D world to 3D world, combining the reality environment with the digital world, creating a digital reflection of the real wellsite, bottom hole assembly (BHA), well trajectories, lithological layers, etc. Thanks to the visualization technologies and augmented reality, we can create a digital twin of physic world for those engineers, technicians, managers using holographic method to interact with, scale up and down, analyzing in a better awareness. In this paper, we will describe a digital drilling wellsite which is established on operator's Real Time Operation Center (RTOC)office to monitor and analyze live field operations, the operator could have an overview of their on-site operations, tracking the equipment performance, engineering parameters and downhole status to enhance the understanding and interaction with the on-going field operations. The wellbore trajectory model gives the team a superior knowledge by combining the engineering data or geological data. Not only help well placement in desired reservoir but also improve the anti-collision concept in direction drilling. This model is extreme meaningful when engineers need a discussion to optimize or change their drilling plan as it is 3D visible and able to interact with. We will continues digging out further more value of the real-time data collected from wellsite to educate us find the cost-saving ways which improve our performance and eliminate the complicated conditions that normally resulted in Non production time (NPT) event. For our oil & gas industry, we are just start to have a more adventure and prosperous journey in digitalizing transforming.

Sign in / Sign up

Export Citation Format

Share Document