With the rapid development of IoT technologies, LoRaWAN has become widely adopted in smart cities, industrial monitoring, environmental sensing, and energy management due to its long communication range, low power consumption, and wide coverage. However, during large-scale deployments, many projects encounter a puzzling issue after running for some time: the network signal appears strong, yet […]

For battery-powered IoT systems, DTU power consumption calculation plays a critical role in determining device lifetime and maintenance cost. Accurate power analysis helps engineers design proper battery capacity, optimize communication strategies, and extend device operation for years. This article explains the power consumption components of a LoRaWAN DTU, introduces calculation methods, and provides practical engineering

As IoT deployments scale from dozens of devices to hundreds or even thousands, manual configuration quickly becomes inefficient and error-prone. Repeating the same setup steps for devices, data models, or automation rules can significantly slow down project deployment. To address this challenge, the ThinkLink platform provides powerful bulk import and export capabilities. By using Excel

When deploying a LoRaWAN network, one of the most common questions is whether to choose an indoor gateway or an outdoor gateway. Although both types use similar communication technology, they differ significantly in protection level, installation environment, coverage characteristics, and deployment cost. This article explains the key differences between indoor and outdoor LoRaWAN gateways based

Retrofitting existing water meters into a LoRaWAN network is one of the most common requirements in smart water utility and irrigation modernization projects. However, many deployments fail due to high wiring complexity, unstable power supply, lack of remote configuration, and poor scalability. This article introduces a proven Smart Water Meter LoRaWAN Retrofit Solution based on

In industrial IoT retrofitting projects, connecting traditional wired sensors such as RS-485 and Modbus devices to LoRaWAN networks is a common requirement. However, existing protocol conversion approaches often compromise between network capacity, power efficiency, scalability, and development cost. This article analyzes the limitations of three conventional approaches and explains how EdgeBus (EB) redefines LoRaWAN terminal

In industrial IoT deployments, integrating Modbus RTU sensors into LoRaWAN networks traditionally requires heavy firmware development, register debugging, byte order handling, and complex reporting logic. This article provides a complete technical walkthrough on how to convert Modbus devices to LoRaWAN using EBHelper — a configuration-driven plugin in the EB compiler ecosystem — eliminating the need

Step 1: Obtain Official Decoder Script Official GitHub decoder: https://github.com/Milesight-IoT/SensorDecoders/blob/main/em-series/em300-sld/em300-sld-decoder.js ThinkLink supports ChirpStack format without structural modification. Step 2: Create a New Data Model In ThinkLink: Model Management → Create New Model Step 3: Configure Data Fields Important: Field identifiers must match decoder return keys exactly. Recommended fields: Save configuration. Bind Model to Device Device

Alarm management is a critical component of large-scale IoT systems, especially in LoRaWAN deployments where devices are widely distributed and operate unattended. ThinkLink provides a flexible alarm notification mechanism built on its native RPC framework and trigger linkage models. By implementing alarm logic entirely at the platform level, users can configure, adjust, and scale alarm

As legacy device retrofitting becomes a dominant IoT demand, integrating wired sensors into LoRaWAN networks remains a major challenge. ThinkLink, combined with EdgeBus (EB), enables flexible protocol abstraction and remote programmability at the edge, allowing RS-485, M-Bus, and analog sensors to be efficiently transformed into LoRaWAN nodes and delivered through a unified platform. Understanding the