The Experts below are selected from a list of 2454 Experts worldwide ranked by ideXlab platform

Deying Gu - One of the best experts on this subject based on the ideXlab platform.

  • Design of Streetlight Monitoring and Control System Based on Wireless Sensor Networks
    2007 2nd IEEE Conference on Industrial Electronics and Applications, 2007
    Co-Authors: Chunguo Jing, Deying Gu
    Abstract:

    The remote Streetlight monitoring and control system has been applied in urban Streetlight. In general, this system monitoring and control scope only reaches the Streetlight transformer station. In this work, an experimental system of wireless sensor network was developed to study the feasibility for Streetlight monitoring and control system. This system consists of the sensor node, the remote terminal unit and the control center. The sensor node was installed at each lamp pole and used to detect and control lamp. The remote terminal unit serves as relay station between the control center and the sensor nodes. The control center monitor and control all Streetlight real time. The hardware of sensor node and remote terminal unit was design. The software was developed for sensor node, remote terminal unit and the control center. The multi-hop used in nodes. The test results show that the system can be used for the Streetlight control. The system application in Streetlight can extend control scope to each lamp, reduce in Streetlight electricity and maintenance cost, and increase availability of Streetlight.

  • Streetlight Power Cable Monitoring System Based on Wireless Sensor Networks
    2006 IEEE International Conference on Information Acquisition, 2006
    Co-Authors: Chunguo Jing, Deying Gu
    Abstract:

    In this work, a network based on wireless sensor network has been developed to monitor Streetlight power cable. The sensor nodes mount on the Streetlight pole and detect the cable voltage. Once a sensor node finds the voltage gone, it sends alarm information to the transformer station over other sensor nodes and then transmits to the control center through GPRS network. The central computer processes it and displays the results on geographical map. The operators take actions according to alarming node position. The sensor node hardware and software were designed and the control center software also was developed. The system applied to Streetlight department can find the cable stolen and thus reduce the property loss. The wireless sensor network designed in this application can also be used in simulate application such as the Streetlight monitoring and control.

Sanguk Park - One of the best experts on this subject based on the ideXlab platform.

  • A Micro-Distributed ESS-Based Smart LED Streetlight System for Intelligent Demand Management of the Micro-grid
    Sustainable Cities and Society, 2017
    Co-Authors: Sanguk Park, Myeong In Choi, Seonki Jeon, Byeongkwan Kang, Sehyun Park
    Abstract:

    Abstract Currently, many researchers worldwide are focusing on creating a novel service model by integrating IoT (Internet of Things) technologies with ICT (Information and Communications Technologies) to increase energy efficiency by reducing power consumption and greenhouse gas emissions. This paper examines the problems related to the current integrated ESS (Energy Storage System) in a smart-grid: high installation costs and low management efficiency. To solve these problems, this paper studies the development of a micro-distributed ESS in an intelligent LED (Light Emitting Diode) Streetlight system, and its low-cost installation and high management efficiency in a micro-grid. Through the application of this system, the initial installation costs can be reduced by using micro-distributed ESS and IoT-based intelligent energy management, facilitating power monitoring of the Streetlights and energy efficient demand resource management in the micro-grid. This provides a more intelligent and efficient environment, such as in a smart-city.

Chunguo Jing - One of the best experts on this subject based on the ideXlab platform.

  • Design of Streetlight Monitoring and Control System Based on Wireless Sensor Networks
    2007 2nd IEEE Conference on Industrial Electronics and Applications, 2007
    Co-Authors: Chunguo Jing, Deying Gu
    Abstract:

    The remote Streetlight monitoring and control system has been applied in urban Streetlight. In general, this system monitoring and control scope only reaches the Streetlight transformer station. In this work, an experimental system of wireless sensor network was developed to study the feasibility for Streetlight monitoring and control system. This system consists of the sensor node, the remote terminal unit and the control center. The sensor node was installed at each lamp pole and used to detect and control lamp. The remote terminal unit serves as relay station between the control center and the sensor nodes. The control center monitor and control all Streetlight real time. The hardware of sensor node and remote terminal unit was design. The software was developed for sensor node, remote terminal unit and the control center. The multi-hop used in nodes. The test results show that the system can be used for the Streetlight control. The system application in Streetlight can extend control scope to each lamp, reduce in Streetlight electricity and maintenance cost, and increase availability of Streetlight.

  • GIS based Streetlight control strategy
    2006 China International Conference on Electricity Distribution (CICED 2006), 2006
    Co-Authors: Chunguo Jing, Rongfu He
    Abstract:

    The time-based or photoelectric switch control methods of Streetlight can't respond to the changes of the weather. The strategy of Streetlight remote control based on geographic information system (GIS) in bad weather is presented. The light sensors are installed at each Streetlight transformer station, remote terminal unit (RTU) detects light level, sends alarm messages to control center when it gets lower in lighting on or higher in lighting off than threshold. Once control center receives an alarm message from RTU, the system selects a rectangle region by the reference of alarmed RTU locations on geographical map and enlarges region by exponential growth. The system queries all RTUs in selected region, switches on/off Streetlights by the rate of alarmed RTUs number in all queried RTUs. This control approach can identify abnormal alarm of RTU, switch Streetlights on/off in partial region and reduce electrical consumption of Streetlights. It can also turn Streetlight on in appointed region by sequence and locate the fault RTU or lamp pole by the means of GIS, that avoids voltage fluctuation of power net produced by all lamps on at the same time and improves the efficiency of Streetlight maintenance. (6 pages)

  • Streetlight Power Cable Monitoring System Based on Wireless Sensor Networks
    2006 IEEE International Conference on Information Acquisition, 2006
    Co-Authors: Chunguo Jing, Deying Gu
    Abstract:

    In this work, a network based on wireless sensor network has been developed to monitor Streetlight power cable. The sensor nodes mount on the Streetlight pole and detect the cable voltage. Once a sensor node finds the voltage gone, it sends alarm information to the transformer station over other sensor nodes and then transmits to the control center through GPRS network. The central computer processes it and displays the results on geographical map. The operators take actions according to alarming node position. The sensor node hardware and software were designed and the control center software also was developed. The system applied to Streetlight department can find the cable stolen and thus reduce the property loss. The wireless sensor network designed in this application can also be used in simulate application such as the Streetlight monitoring and control.

Farah Ramadhani - One of the best experts on this subject based on the ideXlab platform.

  • optimization with traffic based control for designing standalone Streetlight system a case study
    Renewable Energy, 2017
    Co-Authors: Farah Ramadhani, Kamalrulnizam Abu Bakar, M A Hussain, Oon Erixno, Refdinal Nazir
    Abstract:

    Standalone street lighting as a preferred application for road lighting faces two important issues: supply performance and energy cost. According to past research, optimization of hybrid renewable energy system (HRES) in street light supply seems the best known approach to deal with these issues. However, the complex design of street light supply with non-linearity of power units and uncertainty of load pattern makes optimization a challenge. This study employs genetic algorithm (GA) optimization to deal with these complex and uncertain systems. In order to optimize Streetlight supply, it takes into account the energy cost for a single-objective problem and both the energy cost and supply performance for a multi-objective problem. This study also integrates traffic-based lighting control to overcome the power consumption issue in the load side affecting the optimum design of the Streetlight supply. The system including real weather data, real traffic conditions and optimization algorithm are simulated using MATLAB. Based on the results, the proposed method reduces the power consumption by around 47% for a one-year simulation study. Moreover, the optimal design of Streetlight supply potentially minimizes power loss by approximately 39% and energy cost by about 29%.

Thomas Novak - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent Streetlights for Sustainable Traffic Management
    2020
    Co-Authors: Christoph Stogerer, Thomas Novak, Manuel Milli, Michael Schuch
    Abstract:

    Traditional approaches to achieve an environmentally-aware traffic management strategy from the infrastructure side have normally involved implementing adaptive traffic control actions which are able to reduce congestion, smooth the traffic flow and influence the vehicle speed. This paper presents an enhanced strategy based on an adaptive Streetlight approach. This involves integrating Streetlight functionality into the overall intelligent transportation system (ITS) platform and basing the control of Streetlights on traffic or environmental data. Such an approach results in an increase of energy efficiency and road safety without additional infrastructure to be installed on road side. Preliminary results are presented from an experimental application of ‘intelligent Streetlights’ undertaken as part of the COSMO project.

  • Traffic-Adaptive Control of LED-Based Streetlights [Industry Forum] Public lighting in urban environments accounts for about 50% of the electricity con
    IEEE Industrial Electronics Magazine, 2015
    Co-Authors: Thomas Novak, Klaus Pollhammer
    Abstract:

    In this article, a new intelligent street lighting design known as integrated traffic-adaptive control is presented. In general, the strategy is that the luminance intensity of Streetlights is either increased or reduced in multiple steps depending on the traffic flow. In a nutshell, higher traffic volume means higher luminance intensity, and vice versa, according to the method specified in the guideline of International Commission on Illumination CIE 115. Data on traffic flow comes from existing roadside infrastructure connected to other management systems, like traffic management, and is interfaced with Streetlight management in a common platform. The benefit of such a holistic system approach is that energy consumption of public lighting is reduced without high investments in sensor infrastructure (since existing sensors are used) and without compromising road safety (due to the continuous adjustment of luminance intensity to the traffic volume).

  • IECON - Increasing energy efficiency with traffic adapted intelligent Streetlight management
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Thomas Novak, Heimo Zeilinger, Samer Schaat
    Abstract:

    Street lighting consumes a non inconsiderable amount of energy. First promising approaches include the deployment of LED based lights to reduce energy consumption. The paper presents a further step of increasing energy efficiency by implementing traffic adapted intelligent management strategies of the luminaries. The idea is to include a communication module into each Streetlight that exchanges data via a field aggregated point device with a Streetlight management center being an integral part of a traffic management system. Information of the current traffic situation is delivered by traffic sensors and applies traffic adapted control of the luminaries. Consequently, additional energy savings and CO2 reductions are possible without decreasing road safety because a traffic dependent level of luminosity can be provided if needed.

  • Increasing energy efficiency with traffic adapted intelligent Streetlight management
    IECON Proceedings (Industrial Electronics Conference), 2013
    Co-Authors: Thomas Novak, Heimo Zeilinger, Samer Schaat
    Abstract:

    Street lighting consumes a non inconsiderable amount of energy. First promising approaches include the deployment of LED based lights to reduce energy consumption. The paper presents a further step of increasing energy efficiency by implementing traffic adapted intelligent management strategies of the luminaries. The idea is to include a communication module into each Streetlight that exchanges data via a field aggregated point device with a Streetlight management center being an integral part of a traffic management system. Information of the current traffic situation is delivered by traffic sensors and applies traffic adapted control of the luminaries. Consequently, additional energy savings and CO2 reductions are possible without decreasing road safety because a traffic dependent level of luminosity can be provided if needed. © 2013 IEEE.