Evaluating the X-Lib Library Automation System at Babcock University, Nigeria: A case study

2010 ◽  
Vol 26 (1) ◽  
pp. 87-97 ◽  
Author(s):  
Lanre Osaniyi
Keyword(s):  
Automation System ◽  
Library Automation

The prospects for IRBIS development: The new product - IRBIS64+

2017 ◽  
pp. 65-74 ◽  
Author(s):  
Alexander Brodovsky ◽  
Konstantin Sboichakov ◽  
Vladimir Sokolovsky
Keyword(s):  
Digital Libraries ◽  
New Product ◽  
Automation System ◽  
Library Automation ◽  
Expanded Access ◽  
Access Right

IRBIS64+ - the new product of IRBIS Library Automation System designed for building and maintaining digital libraries, is introduced. IRBIS64+ new functionality is revealed. New possibilities for users, including those with expanded access right, are described. The IRBIS64+ modules are named.

scholarly journals Architecture For Automation System Metrics Collection, Visualization and Data Engineering – HAMK Sheet Metal Center Building Automation Case Study

2019 ◽  
Vol 9 (1) ◽  
pp. 561-570
Author(s):  
Khoa Dang ◽  
Igor Trotskii
Keyword(s):  
System Integration ◽  
Data Analytics ◽  
Building Energy ◽  
Facility Management ◽  
Automation System ◽  
Building Energy Efficiency ◽  
Building Automation ◽  
Automation Systems ◽  
Integration Data

AbstractEver growing building energy consumption requires advanced automation and monitoring solutions in order to improve building energy efficiency. Furthermore, aggregation of building automation data, similarly to industrial scenarios allows for condition monitoring and fault diagnostics of the Heating, Ventilations and Air Conditioning (HVAC) system. For existing buildings, the commissioned SCADA solutions provide historical trends, alarms management and setpoint curve adjustments, which are essential features for facility management personnel. The development in Internet of Things (IoT) and Industry 4.0, as well as software microservices enables higher system integration, data analytics and rich visualization to be integrated into the existing infrastructure. This paper presents the implementation of a technology stack, which can be used as a framework for improving existing and new building automation systems by increasing interconnection and integrating data analytics solutions. The implementation solution is realized and evaluated for a nearly zero energy building, as a case study.

scholarly journals Predictive Maintenance in Building Facilities: A Machine Learning-Based Approach

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1044
Author(s):  
Yassine Bouabdallaoui ◽  
Zoubeir Lafhaj ◽  
Pascal Yim ◽  
Laure Ducoulombier ◽  
Belkacem Bennadji
Keyword(s):  
Machine Learning ◽  
Model Development ◽  
Predictive Maintenance ◽  
Data Availability ◽  
Machine Learning Techniques ◽  
Automation System ◽  
Building Maintenance ◽  
Collection Data ◽  
Iot Devices

The operation and maintenance of buildings has seen several advances in recent years. Multiple information and communication technology (ICT) solutions have been introduced to better manage building maintenance. However, maintenance practices in buildings remain less efficient and lead to significant energy waste. In this paper, a predictive maintenance framework based on machine learning techniques is proposed. This framework aims to provide guidelines to implement predictive maintenance for building installations. The framework is organised into five steps: data collection, data processing, model development, fault notification and model improvement. A sport facility was selected as a case study in this work to demonstrate the framework. Data were collected from different heating ventilation and air conditioning (HVAC) installations using Internet of Things (IoT) devices and a building automation system (BAS). Then, a deep learning model was used to predict failures. The case study showed the potential of this framework to predict failures. However, multiple obstacles and barriers were observed related to data availability and feedback collection. The overall results of this paper can help to provide guidelines for scientists and practitioners to implement predictive maintenance approaches in buildings.

Healthcare Oriented Smart House for Elderly and/or Disabled People

2010 ◽  
pp. 116-140
Author(s):  
Nicholas S. Samaras ◽  
Costas Chaikalis ◽  
Giorgios Siafakas
Keyword(s):  
Ieee 802.15.4 ◽  
Software Tool ◽  
Disabled Persons ◽  
Modern Technology ◽  
Medical Data ◽  
Automation System ◽  
Web Interface ◽  
Medical Sensors ◽  
Smart House

Smart houses represent a modern technology which can secure and facilitate our life. The objective of this chapter is to adapt medical sensors to home automated systems, which collect medical data such as blood pressure, heart rate and electrical heart activity for elderly and/or disabled persons. Firstly, the collected data is transferred to a home server and to an external manager for further analysis. Subsequently, data is stored at a database where monitoring is available only for authorized users via a simple web interface. The IEEE 802.15.4 wireless standard has been chosen as the preferred solution for communication in the smart house. Finally, two implementation scenarios of the smart house for an elderly and/or disabled person are simulated using the Custodian software tool. This case study shows that simulating the automation system of a smart house before the implementation is advantageous.

scholarly journals Study of Information Fusion of Distribution Network Automation and Digital Substation Automation

2018 ◽  
Vol 232 ◽  
pp. 03019
Author(s):  
Lei Zhang ◽  
Yuzhi Zhou ◽  
Bifu Qian
Keyword(s):  
Information Fusion ◽  
Distribution Network ◽  
Regional Distribution ◽  
Automation System ◽  
Main Function ◽  
Information Interaction ◽  
Digital Substation ◽  
Substation Automation ◽  
Fusion Scheme

Information fusion of distribution network automation and digital substation automation can improve the efficient use of the digital substation’s distribution network data and strengthen the distribution network. The scheme adds a distribution network area controller for information interaction and integrally models distribution network and digital substation equipment based on the IEC 61850 protocol. This paper details the information fusion scheme of regional distribution network and substation automation system as well as the main function of the controller. The case study demonstrates that the fusion strategy can make the information collection more direct and the fault elimination more intelligent when dealing with the defects and faults of the distribution network.

Library automation with cloud based ILMS Librarika: case study of Central University of South Bihar

2016 ◽  
Vol 33 (7) ◽  
pp. 13-17 ◽  
Author(s):  
Mayank Yuvaraj
Keyword(s):  
Open Source ◽  
Design Methodology ◽  
Public Access ◽  
Content Type ◽  
Library Management ◽  
Library Automation ◽  
Evaluative Study ◽  
Data Ownership ◽  
Practical Implications

Purpose This paper aims to carry out an evaluative study of the cloud-based integrated library management solution (ILMS): Librarika. Design/methodology/approach An evaluation checklist was designed from the review of existing ILMSs as well as literature review. The checklist was distributed to the library staff of the Central University of South Bihar. Findings Librarika was found to be comparable with existing open-source ILMSs but lacked transparency of data. Librarika had all the features of the commonly available open-source ILMSs, like KOHA. However, respondents pointed out that Librarika had a better circulation module and online public access catalogue (OPAC) features compared to other ILMSs. Concerns over data ownership, migration and portability in the cloud were considered as the major bottlenecks in its adoption. Practical implications The study will help other libraries in decision-making who are considering Librarika for their ILMSs. Originality/value Till date, no evaluative study has been carried out on any cloud-based ILMS.

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