||Rising energy shortage, increasing energy cost, reducing CO2 volume, green power production are all accompanied issues addressed by the global society. In addition to continuous development of new energy sources, it is most important to design, develop and deploy energy management and control techniques to reduce energy consumption in our living environments. Among others, indoor lighting has one of the greatest impacts on the energy consumption. The main theme of this study is to integrate the lighting control system with environmental sensing devices based on the Internet of Things, wireless network and cloud control services to directly reduce the energy consumption of the lighting, as well as reflectively save the energy cost.|
This paper proposes a set of “Cloud LED lighting power conditioning system” design, and is divided into three subsystems, including environmental monitoring, power distribution, and cloud integration subsystems. Technical aspects include IoT device sensing, power distribution, cloud-based human-machine interface compilation, ambient light complementary, digital dimming, etc. Technically, this system uses the Node-RED development platform to connect various subsystems. Also, this system uses the MQTT transmission protocol as an instant and low-bandwidth transmission way. All data collected by the IoT device can be sent to cloud services on the Internet. After combing cloud-related data processing and analyzing services, the system can instruct the PDU to control energy usage of devices for power control. Thus, the system can support a bi-directional service architecture based on the Internet of Things and cloud services. On the other hand, energy saving in this study uses white light emitting diodes as the light source. Power-saving properties are selected on LED constant current drivers that are capable of power factor correction, and the wave width modulation is used as a digital dimming scheme, so that the system can achieve power saving with such kinds of hardware and software equipment.
This study further considers the application scenario and usage in the context of smart planting farms. According to the above system architecture, this study implements a prototype design of the “Cloud plant lighting power and conditioning system.” The integration of ambient light and plant growth schedules is used to adjust the brightness of the plant lamps and the wavelength of light required for photosynthesis. Its devices include color sensors, power meters and LED plant lights. As a result of practical experiments, this study presents a significant effect on energy reduction, which is helpful for the promotion of green smart farms.
Therefore, the IoT-based cloud lighting power management and control system can be beneficial to traditional human resource saving and management. Finally, this system can support novel services through the cloud-integrated interface to monitor the power information and control the lighting. In addition, this system can adjust the power consumption of lighting equipment according to ambient light sources to reduce the power waste automatically. Therefore, we believe that the research contribution of this thesis can be a reference to basic lighting services for home energy management systems (HEMS). As demonstrated, the prototypical system can not only reduce the dependence of lighting equipment and energy supply, but also directly reduce household electricity cost.
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