Journal of Physics Conference Series · 2019 · 15 citations · 6 references
EngineeringArchitectural EngineeringEnergy ManagementEnergy SystemsInternet Of ThingsBuilding AutomationBuilding Automation SystemsLighting Energy ManagementPublic Lighting SystemsSmart CitiesSmart City SystemsEnergy-efficient Street LightingLighting Energy ConsumptionLocal Government Budget ConstraintsSmart City TechnologiesSmart Lighting ControlsSmart Street LightingStreet LightingStreet Lighting Energy Management
Abstract One of the criteria of a city categorized as Smart city is the ability to manage infrastructure, property and human resources intelligently. A reliable, sustainable and customable electric energy source is an absolute requirement for a smart city. However, the management of electrical energy must be economically so that it does not burden the local government budget. From a number of infrastructures that consume a lot of electrical energy under the authority of the responsibility of the local government, namely Public Street Lighting (PSL). Lighting from PLS that emits too much light when unnecessary is useless. At present, conventional PLS systems are synonymous with energy waste. Monitors and controls only do locally without having the ability to monitor and control remotely so that if there is damage or theft, it is slow to handle. The solution is to build a smart PSL system and its management. This paper presents a real-world proven solution that relies on aRaspberry Pi, SCADA, and Internet of Things (IoT). This system provide an energy efficiency. Smart PSL will work intelligently in accordance with their environmental conditions. Lighting and illumination are arranged based on the presence of people and vehicles so that they can avoid over lighting and glare. SCADA and IoT technologies are used for work process monitoring systems and data viewers that are carried out continuously and in real time. The result is the smart PLS mode is 43% more efficient than conventional PLS modes.
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Reza Mohamaddoust, Abolfazl Toroghi Haghighat, Mohamad Javad Motahari Sharif et al. · Sensors · 2011 · 32 citations · Full text
Architecture, Architectural Engineering, Computer Systems +17