Most installed lighting systems are outdated and have poor energy efficiency. Therefore, there is an urgent need for smart LED lighting systems that are energy efficient, easy to install, and inexpensive. In this article, a leader-follower smart office lighting control system based on Internet of Things (IoT) technology is proposed to satisfy the goal of saving energy through the coordinated operation of a system counter and an infrared (IR) human movement sensor (passive infrared (PIR) sensor). When no one is present in the space, all indoor LED lights are turned to low-light mode. Otherwise, all indoor LED lights are turned to high-light mode together. In addition to change the brightness of LED lights in the same area at the same time to save energy, the parameters of the LED lights can be set directly through microcontrollers via the IoT and the internet. If a general 15 W T8 LED tube (noninduction light) is replaced with the proposed leader-follower office lighting system (assuming that the office is occupied for 10 hours a day and that the hourly low-light mode is 20 minutes), then the power-saving rate is as high as 28.13%.

Reducing residential and industrial electricity consumption has been a goal of governments around the world. Lighting sources account for a large portion of the whole energy/power consumption. Unfortunately, most of the existing installed lighting systems are ancient and have poor energy efficiency. Today, many manufacturers have introduced light-controlling systems into the current market. However, existing light controlling systems may not be successfully applied to buildings, streets, and industrial buildings due to high costs and difficult installation and maintenance. To combat this issue, this article presents an easy-to-install, low-cost, Master-Slave intelligent LED light-controlling system based on Internet of Things (IoT) techniques. The benefit of using the proposed system is that the brightness of the LED lights in the same zone can be changed simultaneously to save in energy consumption. Furthermore, the parameters of the LED lights can be directly set. Moreover, the related data are collected and uploaded to a cloud platform. In this article, we use 15 W T8 LED tubes (non-induction lamps) as a case study. When the proposed system is installed in a zone with few people, the energy-saving rate is as high as 90%. Furthermore, when 12 people pass by a zone within one hour, its energy-saving rate can reach 81%. Therefore, the advantages of using the proposed system include: (1) the original lamp holder can be retained; (2) no wiring is required; and (3) no server is set up. Moreover, the goal of energy saving can also be achieved. As a result, the proposed system changes the full-dark mode of the available sensor lamp to the low power low-light mode for standby. Further, it makes the sensor lamps in the same zone brighten or low-light way simultaneously, which can quickly complete large-scale energy-saving and convenient control functions of intelligent LED lighting controlling system.

Today, the world’s electricity consumption is growing rapidly, and therefore energy demands are also increasing. In the past few decades, various measures have been taken to improve equipment and system design to increase production and transmission efficiency and reduce power consumption. This article proposes a novel Internet of Things (IoT)-based temperature control power extender with two working modes of cooling and heating to solve power shortages. The power is turned on or off accurately and in a timely manner through a temperature-sensing element, thereby avoiding unnecessary power consumption to achieve the goal of energy-saving. This can directly power on or off the power extender through the Internet. It can also use a 2.4G Wi-Fi wireless transmission to transmit, for example, real-time temperature information, the switch status and the master–slave mode. Related data can be controlled, collected and uploaded to the cloud. Each proposed power extender’s temperature setting in a large-scale field can be set uniformly, and no staff is wasted to set the temperature separately. Taking a general industrial electric fan as an example, if it is changed to drive with this temperature control extension cable, and assuming that the industrial electric fan is activated for 900 s per hour, its power-saving rate is 74.75%.

Ships have many uses in human social life and can be used for various purposes, such as the transportation of people and goods, military affairs, and scientific research. Generally, major ship accidents rarely occur because ships’ design and construction are completed in strict compliance with relevant regulations and international standards (Pan et al., 2020).

Conventional street-lighting systems commonly operate on fixed schedules and remain at full power throughout the night, resulting in unnecessary energy consumption. Although sensor-activated streetlights can adjust their output in response to pedestrians or vehicles, most operate as independent luminaires and therefore do not illuminate the road ahead in advance. This study proposes a segment-synchronous smart street-lighting control system in which streetlights are divided into multiple segments and all luminaires within a segment operate synchronously. When no pedestrian or vehicle is detected, the streetlights remain in dim-light mode. Once a road user is detected, Wi-Fi communication switches the entire segment synchronously to strong-light mode; after the road user leaves and the hold interval expires, the luminaires return to dim-light mode. The system integrates Internet of Things (IoT) technology with a cloud platform for parameter configuration and remote monitoring. For a nominal 100 W streetlight, the model-based energy-saving rate reaches 90% under no-traffic conditions and is approximately 81.00% under the deterministic 12-trigger/h case and 81.44% under a homogeneous Poisson vehicle-arrival model with a mean rate of 12 vehicles/h. In the four-luminaire laboratory prototype, the measured synchronization latency was 120 ms and 199 of 200 trigger tests achieved segment-wide synchronization. These analytical and prototype-scale results support the feasibility of the segment-synchronous concept for low-traffic-road applications; larger multi-segment field validation remains necessary.