The development of technologies such as the Internet of Things (IoT) and cloud computing has greatly improved the living environment. The Building Research Institute of the Ministry of the Interior of Taiwan also utilizes smart building data to improve the intelligence and humanity of buildings and meet the needs of modern people in the smart-life era. The greenhouse effect, extreme weather, and smog make people more susceptible to weather conditions. To satisfy the health/comfort specifications required for buildings in Taiwan to be awarded smart building marks, technologies such as IoT, AI, and big data are imported to meet people's needs for a comfortable indoor living space. A temperature and humidity sensor, air quality sensor, and gas sensor are used to obtain the indoor physical environment index. An environmental control system for a smart household is established through Arduino in this study to provide a low-cost and highly smart environmental monitoring and sensing system. A micro-algorithm mechanism is used to start adjustable devices, and mobile phone interface apps are utilized to convey the environmental conditions in real time and regulate the operation of household appliances so as to improve the comfort of the indoor space and provide a comfortable and protective environment for work and living.
Agriculture is an industry that requires a high degree of labor. Internet of Things (IoT) and information and communication technology (ICT) have been used to establish a Smart Farm Watering System for remote monitoring to enable informed judgments on watering as an example of intelligent farming. In this study, appropriate sensing components and control panels were selected to develop a prototype of the system. Control software was written to control the opening and closing of the watering system through the measured soil moisture, push buttons, and voice control. The aim of this study is to establish a wireless network in the farming field, attach the watering pipeline, and connect the system to the farming site, so that managers can remotely control watering through smart facilities. In this study, an infrared personnel sensor and webcam are installed in the farm field. When the sensor detects a person approaching, a warning message will be issued to the administrator to give an audible warning after the person is identified by the webcam. Through this research, we can help farmers develop a smart watering system to reduce manpower, save water, improve the quality and quantity of agricultural products, and ensure the safety of farms.
Strong earthquakes can cause buildings to collapse, fires, and jammed doors and elevators. In this study we used the Internet of Things to develop a smart earthquake disaster prevention system. The system continuously monitors the real-time earthquake warning data of the Central Weather Bureau (CWB). When real-time seismic data are updated, the system immediately obtains the intensity and location of the earthquake and calculates the intensity and time of arrival at different locations. When the earthquake is judged to be dangerous, the system immediately shuts off the gas supply. When residents are determined to be at home by a human body detector, a sound and light earthquake alarm is immediately activated, and real-time earthquake data are displayed on LINE instant messaging platform, short message service (SMS), and electronic displays. Doors are also automatically opened to prevent them from being stuck. Earthquake information is immediately sent to regional elevator management centers to instruct elevators to stop at the next floor, open the doors, and broadcast information on the upcoming strong earthquake. By developing this system, the latest earthquake warning information from the Central Meteorological Administration can be effectively captured, and necessary evacuation and disaster mitigation measures can minimize deaths and property losses from earthquakes.
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