Abstract: Green technology for economically viable engineering designs and sustainable environment is highly desirable for future smart city applications. An intelligent system for operating and controlling lighting in order to save energy is developed and presented in this article. The system is implemented on Alibaba Cloud IoT platform on STM32 development board using STM32 medium-density performing microcontroller with high performance ARM® Cortex®-M3 RISC core. It includes communication between wireless sensors and actuators, and control of light sources. The HC-SR501 human infrared sensor is also used for detecting people and BH170 photosensitive sensor for synthetic brightness detection. The system includes indicators to represent three orders of magnitude of temperature sensor reading. The system developed in this work also features (i) an OLED display unit enabling users to view sensed data easily and (ii) Web platform-based User Interface (dashboard) for allowing users to easily interact with the system. The overall system provides a practical and interactive solution for data visualization and to remotely control light sources.

Abstract—Environmental monitoring systems are often designed to measure and log the current status of an environment or to establish trends in environmental parameters. In this paper, We proposed an autonomous robotic system that is designed and implemented to monitor environmental parameters such as temperature, humidity, air quality, and harmful gas concentration. The robot has GPS coordinates, and it can store data on the ThingSpeak IoT platform. The mobile robot is controlled by a smartphone which runs an app built on the Android platform. The whole system is realized using a cost-effective ARM-based embedded system called Arduino and Raspberry Pi which communicates through a wireless network to the IoT platform, where data are stored, processed and can be accessed using a computer or any smart device from anywhere. The system can update sensor data to IoT server every 15 seconds. The stored data can be used for further analysis of the reduction of pollution, save energy and provide an overall living environment enhancement. The robotic system has designed for cost effective remote monitoring environmental parameters without any human intervention to avoid health risk efficiently. A proof-of-concept prototype has been developed to illustrate the effectiveness of the proposed system

A sensor network based intelligent control is proposed for power economy and efficient oil well health monitoring. The proposed sensor network consists of three-level sensors: several types of basic sensors, such as Gas sensor, Temperature sensor which are the first level sensors, are used for oil well data sensing; our developed intelligent sensors , which belong to the second level sensor, are designed mainly for an oil well’s data elementary processing, main fault alarm or indication, typical data storage or indication, data or status transmission up to the third level sensor, data or status transmission between intelligent sensors, and command transmission down to the oil pumping units motor; and our developed software-defined control centers with an embedded database, i.e., the third level sensor, are designed for hundreds of oil wells data storage or management, data processing, malfunction detection, malfunction alarm or indication, stroke-adjustment command transmission down to a specific intelligent sensors for power economy.