| dc.description.abstract | With the development of science and technology and the increase in electricity consumption, people′s awareness of environmental protection has risen. In recent years, there have been more and more issues about energy distribution, and the government has also put forward a number of energy conservation plans. In view of the rapid development of the Internet of Things technology, devices and objects in daily life can be communicated through Internet connections, such as smart farms, smart homes, and smart electricity meters. These examples use the Internet of Things technology to monitor changes in the environment. To achieve the effect of saving energy, it also reduces labor and time costs. In this thesis study, we simulate the energy management situation of the smart farm, and combine the game theory and the Internet of Things technology to design an energy distribution and dimming system. In order to make the dimming system more accurate and increase the energy saving efficiency of smart farms, this system additionally introduces and integrates low-power communication technology transmission, cooperative game theory Shapley value, energy monitoring devices, etc.
In the experiment of this thesis study, first we use a variety of IoT sensors such as color sensors and electronic meters on the device side to sense changes in environmental humidity and light sources, and then pass information through the gateway using Message Queue Telemetry Transmission (MQTT) for uploading the sensed data to the Node-RED IoT platform. The IoT management server creates and stores the data and visualizes the data, creates the information needed for user interface access and allows users to remotely control and manage IoT devices and sensors. We also import the Shapley value of the cooperative game model in game theory, through the concept of resource allocation to allow the artificial light sources in the area to check and balance each other. In addition to allowing the light sources in the area to achieve a stable output, it can also detect indoor light and outdoor natural light. To achieve a state of complementarity with sunlight, thereby saving energy consumption. We can set the lighting interval required by the environment, and periodically detect the ambient light source through the color sensor. The system will automatically determine whether dimming is needed at the moment, and then use the theoretical model of the game to calculate the most suitable PWM adjustment for each area. The light value achieves a balance between the immediacy of dimming, the stability of artificial light sources and the optimization of energy consumption.
This thesis study is based on the experimental design of the Internet of Things technology. We hope to allow managers to monitor the experimental environment anytime and anywhere, and allow the system to detect indoor and outdoor environmental light sources in real time, and at the same time achieve the required light for plants and save energy to achieve an ideal use case of the lowest energy consumption and cost. In future research, we hope to combine this experiment with an energy management system in a smart farm to implement it in a real field, while giving plants and crops enough light and reducing the power consumption of lighting equipment in the field. | en_US |