# Review of Monitoring and Control Systems Based on Internet of Things
## 3 Monitoring and Control Systems Based on IoT
### Monitoring and Control Systems for Smart Agriculture Based on IoT
in [49] noticed that in the face of complex challenges related to the effective management of electricity, there is a need to develop effective strategies to optimize the location and performance of energy-generating units in distributed systems. This paper presents a multi-objective analysis approach, focusing on power quality and voltage stability issues, to determine the optimal parameters for the location and operation of distributed units. This approach's basis is power quality and voltage stability indicators, effectively combining the effects of increasing real and apparent reactive power. The systematic characterization of these indicators allows for constructing objective functions that consider both power quality and voltage stability issues. The leading equipment used in the proposed system are Arduino-based systems, remote sensors, ultrasonic sensors, and GSM modules. This system allows us to measure power and send the collected data to local offices. Arduino chips form the system's core, providing an interface for receiving and processing sensor data and communicating with the central office via GSM modules. When analyzing power quality, DMR (DMR meters) meters measure parameters such as power consumption, cable defects, and voltage anomalies, providing a detailed analysis of power quality in a low-voltage system. GSM modules transmit data from DMR meters to the control panel, ensuring a quick response to possible power quality problems. To effectively control power flow and maintain voltage stability, the proposed system uses dynamic power control techniques to ensure smooth operation of the network under various load conditions. Additionally, this system can monitor and respond to changes in the network in real time, allowing for quick identification and resolution of potential power quality problems. The simulation analysis's conclusions confirm the proposed system's effectiveness in managing electricity in smart energy grids. Thanks to advanced IoT technologies and multi-objective analysis, this system enables optimal location and efficiency of energy-generating units in distributed systems. This translates into increased reliability and efficiency of the entire energy system. [PERSON] et al. in [50] present the design and implementation of an intelligent energy consumption monitoring system that enables automatic reading of the electricity meter and management of electrical devices at home using a dedicated mobile application. The system is based on several key components such as Arduino, a Wi-Fi module, an energy meter, a relay and a transformer. The energy meter used in the system is a clamp-on meter that measures the current voltage, current and power in units of kWh. The Arduino microcontroller reads these parameters and transmits them to the cloud, which allows the user to access current data via the mobile application. Data communication takes place via the Wi-Fi module, which is configured with Arduino. This module allows us to transfer data from the energy meter to the cloud and control electrical devices in our home using a mobile application. The relay controls a home circuit using Arduino, allowing us to turn the circuit on and off using a dedicated mobile app. The transformer converts the main voltage into a low voltage suitable for the Arduino microcontroller. The system uses the IoT, enabling communication between network devices and remote controls. Expected system results include the real-time monitoring of energy consumption and automatic notification to the user when energy consumption reaches a certain level. The system also allows us to remotely manage electrical devices at home via a dedicated mobile application. The conclusions suggest that an intelligent energy monitoring system provides user convenience by remotely monitoring and managing home energy consumption while reducing the need to manually read energy meters, leading to time and labour savings.