Efficient photodetector placement for daylight-responsive smart indoor lighting control systems

Seyedolhosseini, Atefesadat; Modarressi, Mehdi; Masoumi, Nasser; Karimian, Noushin

doi:10.1016/j.jobe.2021.103013

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…The MQTT protocol is used in this study to communicate data between smart lights and smartphones. This lightweight protocol runs on Transmission Control Protocol / Internet Protocol (TCP/IP) [8] and uses a broker-based publish-subscribe mechanism. The gateway is made up of a mesh gateway and an MQTT gateway that are linked via serial communication.…”

Section: Gatewaymentioning

confidence: 99%

Multi-hop ESP-Mesh Network and MQTT Protocol for Smart Light Systems in High-Rise Buildings

Putra

Misbahuddin

Sasongko

2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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When a high-rise building's lights are not required because they are frequently left on, electrical energy is wasted as a result of this. The smart light is one of the effective ways to energy saving in a building. This study aims to create a smart light system using the ESP-Mesh network and the MQTT protocol to control the turn on/off of all lights in all rooms of a high-rise building. The ESP-Mesh network is a mesh of ESP8266 devices that are designed for multihop transmission. The MQTT is one of the widely used IoT protocols that allows a smartphone to control the lights in every room in a mesh topology via the internet remotely. The performance evaluation shows that a multi-hop ESP-Mesh is better than that a Single-hop ESP8266 in signal strength. The signal strength of the ESP8266 single-hop is bad. Meanwhile, the signal strength of the multi-hop ESP-Mesh is good in all rooms. Furthermore, The functional tests of the multi-hop ESP-Mesh show that although there are various broken paths caused by several disconnected nodes, all lights can be turned on or off suitably through the command from the smartphone switch. Turning off the not-required lights by smart light systems can help save energy.

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Section: Gatewaymentioning

confidence: 99%

Multi-hop ESP-Mesh Network and MQTT Protocol for Smart Light Systems in High-Rise Buildings

Putra

Misbahuddin

Sasongko

2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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“…This method is time-consuming, inefficient, and will lead to a large degree of resource waste. The combination of camera monitoring and remote control greatly increases the cost of construction and will inevitably cause extravagance and waste of power resources [3].…”

Section: The Overall Designmentioning

confidence: 99%

Design and Research of Indoor Lighting Control System Based on the STM32

Fan,

Zhang,

Kang

et al. 2022

International Journal of Advanced Network, Monitoring and Controls

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After the completion of the process of industrialization in the world, a large number of electrified equipment appeared, People's Daily life is also more and more dependent on electricity security, electricity consumption has risen sharply. At present, various lights driven by electricity play a crucial role in our daily life, which is also the main cause of electricity consumption. We often notice that even when the room is empty, or during the day, the lights are still on, which is a waste of electricity. The waste of power resources caused by traditional lighting equipment cannot be ignored. Therefore, intelligent home furnishing equipment is the favored object of people. So here for a kind of indoor lighting control system is designed, in order to meet the lighting needs on the basis of more humane, more importantly, can save power resources. With the rapid application of automation in daily life and the continuous development of computer technology, lighting control has become increasingly intelligent and automated. The control function of the system is realized by the STM32F103 chip, the illumination is automatically detected by the BH1750 module, and the time parameters are recorded and fed back by the DS3231 clock module. The infrared reflection sensor is used to detect whether there are people in the room. When there is no one, the light will be automatically turned off to save energy. If there are people, when the ambient light intensity is lower than the set value, the light will be automatically turned on to ensure the comfort of the ambient brightness. And can use OLED module real-time display indoor light intensity, number of people and working time. This indoor lighting control system can not only automatically turn on the light according to the environment, but also detect whether there is a human body in the current environment and turn on or off the light by itself, which has more practical significance.

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“…The study supports the development of human-centric building technologies by offering customized indoor lighting environments. Seyedolhosseini et al, (2021) designed a smart indoor lighting system for multiple zones to enhance user comfort and reduce energy consumption. They developed an efficient control mechanism using optimization and clustering algorithms to minimize photodetectors.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Lighting Control Systems for Energy Savings in Hospital Buildings Using Artificial Neural Networks

Okomba

2024

FJS

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Lighting control systems are essential in modern building automation and smart homes, efficiently managing illumination to enhance energy conservation and user comfort. This project tackles energy consumption challenges in hospital buildings by introducing Intelligent Lighting Control Systems (ILCS) that take natural light and occupancy into account, driven by Artificial Neural Networks (ANN) and diverse machine learning algorithms. In our study, we collected sensor data, processed it, and designed a lighting control system employing a feedforward neural network and various machine learning algorithms. Surprisingly, our research found that a linear regression algorithm surpassed the ANN-based system in this context. We implemented a prototype, tested it on hardware, and obtained the expected results. This research marks progress towards optimizing energy use in hospital buildings and contributing to sustainability endeavors. By combining ILCS and machine learning, it offers a promising approach for more efficient and eco-friendly lighting systems

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Efficient photodetector placement for daylight-responsive smart indoor lighting control systems

Cited by 8 publications

References 17 publications

Multi-hop ESP-Mesh Network and MQTT Protocol for Smart Light Systems in High-Rise Buildings

Multi-hop ESP-Mesh Network and MQTT Protocol for Smart Light Systems in High-Rise Buildings

Design and Research of Indoor Lighting Control System Based on the STM32

Intelligent Lighting Control Systems for Energy Savings in Hospital Buildings Using Artificial Neural Networks

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