# Review of Monitoring and Control Systems Based on Internet of Things
## 3 Monitoring and Control Systems Based on IoT
### Monitoring and Control Systems for Environmental Protection Based on IoT
Low energy demand enables power supply from solar panels, which reduces costs and enables long-term monitoring in areas where access to power is limited. In addition, the costs of the sensors are lower than in the case of traditional weather monitoring systems, which makes the project more profitable. Data from the sensors are sent to the website, where they are presented in graphic statistics, enabling access from anywhere in the world and their future use. With fewer moving parts, the system requires less maintenance, which reduces maintenance costs. Additionally, the mobile application sends notifications about sudden weather changes, acting as an effective warning system against unfavorable conditions. The system uses a Raspberry Pi API for more advanced weather forecasts, which analyzes sensor data and predicts accurate results. The system consists of an Arduino Uno microcontroller as the central data processing module, and the sensor data are processed and sent to the database on the website using Node MCU and Ubi dots. The authors of [57] discuss the growing problem of air pollution, which increasingly affects society due to the rapid development of industrialization and the number of vehicles. Harmful substances in the air, such as terrestrial ozone, nitrogen dioxide, and sulfur dioxide, threaten nature and human health. Chemical pollutants, including suspended particles, carbon monoxide, nitrogen oxides, sulfur oxides, lead aerosols, and volatile organic compounds, contribute to increased disease rates. Advanced research in sensor networks and wireless communication technology has produced several applications of wireless sensor networks in environmental monitoring and pollution control. The paper discusses air pollution monitoring and quality control using sensor nodes in a wireless sensor network. This project aims to create a real-time air pollution monitoring system using IoT technology, enabling the recording of atmospheric pollutant concentrations and establishing action plans for detecting high pollution levels. The system also aims to monitor air quality levels in selected cities with heavy road traffic. Existing monitoring systems are expensive and often use a single sensor, making comprehensive monitoring of air pollutants impossible. In the proposed system, we use many sensors that can detect various types of gases and pollutants present in the air. Data from these sensors are transmitted to the Blynk 2.0 cloud via Wi-Fi connectivity, enabling real-time air quality monitoring via the Blynk smartphone app and the Blynk dashboard in graphs. This design has a low cost and compact size, which makes it portable and easy to maintain. It also has great development potential, enabling additional sensors and integration with smart city initiatives. The project used the ESP32 microcontroller (Node MCU), which reads data from all sensors and then transmits them to the Blynk 2.0 cloud via Wi-Fi. The system also uses the Blynk 2.0 cloud to present data in real time on a mobile application and a web panel. This way, users can easily monitor air quality and receive notifications when pollutants are detected.