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

In today’s rapidly evolving IoT landscape, LoRaWAN stands out with low power consumption, long-range, and wide coverage, making it the preferred communication technology for smart cities, industrial monitoring, smart agriculture, and energy management. However, building a stable, reliable, and maintainable LoRaWAN device goes beyond simple data transmission. Based on practical engineering experience, we summarize 12

1. Overview of ThinkLink Docker Edition The thinklink-docker repository provides Docker deployment configurations for the ThinkLink platform and currently supports x64 architecture only. Docker Compose allows all ThinkLink services to be started together, making it suitable for private deployment, project delivery, and testing environments. 2. Repository and Deployment Steps ThinkLink Docker repository:https://gitee.com/manthink_bj/thinklink-docker Deployment steps: Clone

1. Making Edge Logic Truly Programmable: The TypeScript EB Compiler EdgeBus (EB) was introduced by ManThink in 2018 as a lightweight execution framework designed specifically for retrofitting existing field devices. Initially developed for large-scale heating retrofit projects, EB addressed challenges such as fragmented protocols, constrained hardware resources, and unstable field conditions. Over years of deployment,

1. Why LoRa Can Communicate Over Long Distances Unlike traditional wireless technologies, LoRa prioritizes sensitivity over throughput.By trading data rate for processing gain, LoRa achieves exceptional link budgets suitable for low-power wide-area networks. This capability is not driven by a single setting, but by the combined effect of multiple PHY parameters. Among them, SF, BW,

1. Challenges in LoRaWAN-Based Heat Meter Deployment In district heating and energy management systems, heat meters are typically widely distributed and powered by batteries. Traditional wired or proprietary wireless solutions often suffer from high retrofit costs and limited scalability. While LoRaWAN offers long-range, low-power, and standardized connectivity, practical deployment still faces challenges related to protocol

ManThink Technology has officially released ThinkLink, a fully localized IoT platform, and made a free deployment package available to industry users (Contact: info@manthink.cn). ThinkLink is designed for autonomous, on-premise deployment and long-term operation. It targets LoRaWAN and multi-protocol IoT scenarios, providing a stable, low-cost, and highly controllable system foundation. As IoT projects increasingly require localization,