HEILS - HIGH EFFICIENT AND INTELLIGENT LIGHTING FOR SMART- CITIES

Abstract

Street lamps are vital to urban infrastructure, enhancing safety and energy conservation. It's hard to envision a city without them, as their absence would likely lead to increased risks of traffic accidents, theft, and crime. Current street lamp management methods rely on manual oversight and light perception controls, both of which have significant drawbacks. Maintenance often takes too long, particularly for suburban lamps, with delays extending to several months. This increased downtime can heighten safety hazards, as broken lamps elevate the risk of accidents and crime. Furthermore, existing systems lack real-time monitoring and control, complicating maintenance efforts. Manual management is not sufficiently efficient, often relying on a single switch to control multiple lamps, limiting flexibility and responsiveness. To address these issues, optimizing street lamp management is essential, incorporating remote and real-time control systems to enhance safety and energy efficiency in urban areas

Specification

The main aim of the smart city relates to safer, more convenient, and more comfortable operation, and better energy conservation. Therefore, make an urban infrastructure be smarter is necessary for promoting the smart cities. The street lamp as an essential part of urban infrastructure in the city, closely relates to the safety and energy conservation. Presently, the street lamps mainly adopt manual management or light perception control. Both manual management and light perception control adopt manual patrol to check broken street lamps. Therefore, the maintenance period is long . The energy consumption of current street lamps is high and have only two states, on and off.
Moreover, they cannot adjust their brightness sometimes, the street lamps can be dim to reduce energy consumption. .
PRIOR ART AND BACKGROUND:
[0002] US10417912B2 : A computer-implemented system and method for providing multi- locational curbside valet parking service is provided. A multiplicity of motor vehicle parking spaces are managed by a server. A plurality of smart parking devices and vehicle occupancy sensors are interfaced with the server.
[0003] WO2017106969A1 : There is described a method for controlling a light intensity of a given light source in a light network comprising other light sources. The method comprises providing a detector having a field of view (FOV) and operably connected to the given light source for controlling a light intensity.
[0004] CN117676984A : Intelligent street lamp adjusting system based on vehicle/pedestrian flow and ambient light detection Technical Field The invention relates to the field of intelligent illumination and illumination energy conservation, in particular to an intelligent regulation system of municipal street lamps.
[0005] CN109114448A : The present invention relates to lamp panel technical fields, in particular a kind of energy-saving lamp panel, including energy-saving lamp panel, the energy-saving lamp panel offers the first mounting groove, second mounting groove, third mounting groove, the junction of first mounting groove.

The main aim of the smart city relates to safer, more convenient, and more comfortable operation, and better energy conservation. Therefore, make an urban infrastructure be smarter is necessary for promoting the smart cities. The street lamp as an essential part of urban infrastructure in the city, closely relates to the safety and energy conservation. Presently, the street lamps mainly adopt manual management or light perception control. Both manual management and light perception control adopt manual patrol to check broken street lamps. Therefore, the maintenance period is long . The energy consumption of current street lamps is high and have only two states, on and off.
Moreover, they cannot adjust their brightness sometimes, the street lamps can be dim to reduce energy consumption. .
PRIOR ART AND BACKGROUND:
[0002] US10417912B2 : A computer-implemented system and method for providing multi- locational curbside valet parking service is provided. A multiplicity of motor vehicle parking spaces are managed by a server. A plurality of smart parking devices and vehicle occupancy sensors are interfaced with the server.
[0003] WO2017106969A1 : There is described a method for controlling a light intensity of a given light source in a light network comprising other light sources. The method comprises providing a detector having a field of view (FOV) and operably connected to the given light source for controlling a light intensity.
[0004] CN117676984A : Intelligent street lamp adjusting system based on vehicle/pedestrian flow and ambient light detection Technical Field The invention relates to the field of intelligent illumination and illumination energy conservation, in particular to an intelligent regulation system of municipal street lamps.
[0005] CN109114448A : The present invention relates to lamp panel technical fields, in particular a kind of energy-saving lamp panel, including energy-saving lamp panel, the energy-saving lamp panel offers the first mounting groove, second mounting groove, third mounting groove, the junction of first mounting groove.

much as possible. There must be a mechanism to check broken lamps in Realtime.
Satisfy fine grain control. Fine grain control includes few parts: first, every street lamp needs a unique identification to distinguish each other; second, every street lamp should be controlled independently; third, all street lamps should be controlled 5 all the time; fourth, every street lamp has to be able to adjust its brightness according to current demands BRIEF DESCRIPTION OF THE DRAWING:
10
[0011] The invention disclosure is smart street lamp control system is implemented by raspberry pi, and it is used to trace and adjust the entire node. In this proposed system, if one node gets failed then Raspberry pi gets network from another node and it provides that to the failure node. Invention disclosure is highly automated and trace street lamp 15 status. Automatically find node failure and it is immediately resolved by raspberry pi using another node network.


The HEILS - High Efficient and Intelligent Lighting for Smart-cities comprises, a. Sensor module to identify the location b. A processing unit programmed to implement based on raspberry pi c. This system provided low power consumption 2. The system as claimed in claim 1: wherein method of LDR sensor to detect the light intensity to modify and control the data. 3. The system as claimed in claim 1: wherein method of the node MCU's are programmed and controlled by raspberry pi system. 4. The system as claimed in claim 1: wherein method of the node the energy optimization done in the street lamp management

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