Explore key concepts in industrial IoT, smart farming, and automation. A comprehensive glossary with 15+ terms.
An automatic irrigation system is an IoT-based system that automatically manages irrigation based on soil moisture, weather conditions, and plant needs. Water savings and optimal plant growth are achieved through solenoid valves and control units.
Automation is a set of technologies that enables machines and processes to operate automatically without human intervention. Modern automation systems integrated with IoT and AI can make intelligent decisions and adapt to changing conditions.
An energy analyzer is a smart device that measures and records the power parameters of electrical systems. It enables energy management and quality analysis by monitoring values such as voltage, current, power factor, harmonics, and energy consumption.
An energy monitoring system is an IoT-based solution that measures, analyzes, and reports electricity consumption in real time. Power quality, harmonic distortions, and consumption patterns are tracked through energy analyzers.
Industrial IoT (IIoT) refers to Internet of Things applications used in manufacturing and industrial facilities. Factory equipment, sensors, and control systems are interconnected to enable real-time monitoring, automation, and data-driven decision-making.
IoT (Internet of Things) refers to physical devices collecting and sharing data by connecting to the internet through sensors and software. Industrial IoT uses this technology to increase efficiency in manufacturing, energy, and agriculture sectors.
An IoT gateway is a network device that acts as a bridge between sensors and cloud platforms. It handles protocol translation, data preprocessing, local storage, and security functions, enabling edge computing capabilities.
LoRaWAN (Long Range Wide Area Network) is a wireless network protocol that enables long-range IoT communication with low power consumption. It offers 15+ km range and years of battery life for data transmission from industrial sensors to cloud platforms.
Modbus is the most widely used serial communication protocol in industrial automation systems. Developed by Modicon in 1979, this open standard enables data exchange between PLCs, sensors, and HMI devices.
MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for IoT devices. It provides efficient communication on low-bandwidth and resource-constrained devices using the publish/subscribe model.
Predictive maintenance is a data-driven strategy that detects maintenance needs of machines and equipment before they fail. Equipment health is continuously monitored using sensor data and AI algorithms, and potential failures are predicted in advance.
Smart agriculture is a modern approach that increases agricultural productivity using IoT sensors, data analytics, and automation systems. Water and fertilizer use is optimized by continuously monitoring soil moisture, weather conditions, and plant health.
A soil moisture sensor is an IoT sensor that measures the water content of soil and is a fundamental component of smart irrigation systems. It performs precise moisture measurement using capacitive or TDR (Time Domain Reflectometry) technology.
ThingsBoard is an open-source IoT platform that offers device management, data collection, visualization, and rule engine features. It supports MQTT, CoAP, HTTP, and LwM2M protocols and provides a scalable architecture.
Vibration analysis is a predictive maintenance technique used to assess the health of rotating machines. Wear, imbalance, and bearing failures in motors, pumps, and compressors are detected early through vibration measurements.