ELECTRIC VEHICLE CHARGER MANAGEMENT SYSTEM FOR INTEROPERABLE CHARGING FACILITIES

2016 ◽  
Vol 78 (5-8) ◽  
Author(s):  
Junghoon Lee ◽  
Gyung-Leen Park

This paper designs and develops a real-time charger management system which keeps collecting the status information from chargers and converts control messages from the total operation center to a command predefined for charger control. RF cards complete the service chain from electric vehicles to the operation center, making the information flow bidirectional. The extended coverage of the operation control over the charging infrastructure allows an easy payment for the charging fee, based on the membership management and personalized services. A web application is implemented on the digital map of the target city for users to retrieve necessary information from the system and find the best service and chargers. The massive amount of real-time charger monitoring data is being accumulated in the database, and big data analysis will allow us to make intelligent plans for future smart grid city services. 

Author(s):  
Zdenko Kovacic ◽  
Davor Jerbic ◽  
Vedran Vojvoda ◽  
Siniša Dujmovic

This chapter describes the use of Matlab Real Time Workshop (RTW) for implementing an Internet Accessible Laboratory (IAL) for teaching robot control. The IAL architecture consists of three key components - IAL Web Application, IAL database, and a set of robot control schemes prepared for students’ laboratory curriculum that are running in Matlab RTW. The IAL management system supports multilingual access and enables easy addition of new users, new robotic systems, and new laboratory exercises related to robot control. The IAL functionality is demonstrated with the example of controlling a four degrees of freedom SCARA robot.


Author(s):  
José Esteban Ruiz-Melo ◽  
Irma Martínez-Carrillo ◽  
Carlos Juárez Toledo ◽  
Amador Huitrón-Contreras

In the industry, the supply chain develops activities related to the flow of goods. A nerve point of this chain is warehouses, whose operational efficiency allows to minimize product losses and reduce overall costs. This work proposes the automation of a goods warehouse through its integration and interoperation with emerging technologies based on the Industrial Internet of Things (IIoT), with the aim of knowing and planning the stock in real time to optimize its management, since a recurring problem is having outdated inventories, which impact on the lack of traceability of the product. A methodology based on the design of an experimental management system is propose, through RFID devices and a microcontroller allows to monitor the inputs and outputs of goods, the second part of the system is a web application with a user interface where information about inventories could be viewed and analyzed in real time. This research will allow to lay the foundations of automation through IIoT of a warehouse with the purpose of turning it into an intelligent unit that provide strategic information.


Author(s):  
Larysa Bodnar ◽  
Petro Koval ◽  
Sergii Stepanov ◽  
Liudmyla Panibratets

A significant part of Ukrainian bridges on public roads is operated for more than 30 years (94 %). At the same time, the traffic volume and the weight of vehicles has increased significantly. Insufficient level of bridges maintenance funding leads to the deterioration of their technical state. The ways to ensure reliable and safe operation of bridges are considered. The procedure for determining the predicted operational status of the elements and the bridge in general, which has a scientific novelty, is proposed. In the software complex, Analytical Expert Bridges Management System (AESUM), is a function that allows tracking the changes in the operational status of bridges both in Ukraine and in each region separately. The given algorithm of the procedure for determining the predicted state of the bridge using a degradation model is described using the Nassie-Schneidermann diagram. The model of the degradation of the bridge performance which is adopted in Ukraine as a normative one, and the algorithm for its adaptation to the AESUM program complex with the function to ensure the probabilistic predicted operating condition of the bridges in the automatic mode is presented. This makes it possible, even in case of unsatisfactory performance of surveys, to have the predicted lifetime of bridges at the required time. For each bridge element it is possible to determine the residual time of operation that will allow predict the state of the elements of the structure for a certain period of time in the future. Significant interest for specialists calls for the approaches to the development of orientated perspective plans for bridge inspection and monitoring of changes in the operational status of bridges for 2009-2018 in Ukraine. For the analysis of the state of the bridge economy, the information is available on the distribution of bridges by operating state related to the administrative significance of roads, by road categories and by materials of the structures. Determining the operating state of the bridge is an important condition for making the qualified decisions as regards its maintenance. The Analytical Expert Bridges Management System (AESUM) which is implemented in Ukraine, stores the data on the monitoring the status of bridges and performs the necessary procedures to maintain them in a reliable and safe operating condition. An important result of the work is the ability to determine the distribution of bridges on the public roads of Ukraine, according to operating conditions established in the program complex of AESUM, which is presented in accordance with the data of the current year. In conditions of limited funding and in case of unsatisfactory performance of surveys, it is possible to make the reasonable management decisions regarding the repair and the reconstruction of bridges. Keywords: bridge management system, operating condition, predicted operating condition, model of degradation, bridge survey plan, highway bridge.


Author(s):  
P. Sarwanto

Among other obligations imposed under the forestry permit, watershed rehabilitation planting is perceived by the upstream oil and gas sector as the most complex challenge to conquer. Despite its poor track in fulfilling timeline and required result, there are also other challenges to consider, for instance lack of critical location, weather, fire, land tenure, community habit and capability, and cost optimization. In attempt to respond these challenges, an innovation in management system is constructed at PT Pertamina Hulu Mahakam, embracing and tailoring all related challenges, difficulties, and complexities, escalating the activity to be beyond compliance. So that it will be able to deliver more than merely avoid the identified potential risks towards company. The management system, called PIRAMIDA TINGGI (Pemberdayaan Masyarakat untuk Melestarikan Hutan di Dunia demi Ketahanan Energi Nasional), actively involves government, community, and business sector as equilateral triangle that work together to perform watershed rehabilitation planting. Developed using ISO 9001:2015 process approach namely PDCA (Plan-Do-Check-Act), the PIRAMIDA TINGGI system is in line as well with NAWACITA (President Joko Widodo’s vision, mission and program). To encounter other issue found during field work, this system is equipped as well with another innovation tool named PARIDA, a geospatial mobile-desk top-web application that easily able to map and identify vegetation in real time for further geo-analyzing multi-purposes, to be operated by local community. Full set implementation of this system has benefitted all parties. To Company in form of significant cost efficiency around 13.9 MUSD and 7 days’ faster result delivery besides obligation fulfillment, for others in form of broader advantage of proven sustainability project that has gave contribution to 5P (People, Planet, Prosperity, Partnership and Peace), objectives required by UN Sustainable Development Goals 2030.


2020 ◽  
Vol 9 (3) ◽  
pp. 25-30
Author(s):  
So Yeon Jeon ◽  
Jong Hwa Park ◽  
Sang Byung Youn ◽  
Young Soo Kim ◽  
Yong Sung Lee ◽  
...  

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