LoRaWAN network deployment is more than connecting devices. It requires careful planning of coverage, frequency bands, capacity, and remote management. This article provides a practical guide based on real-world scenarios, helping businesses build stable, low-power, and scalable IoT networks. 1. Coverage Planning: Theory vs Reality LoRaWAN coverage varies significantly depending on the environment: Field testing […]

In many industrial and environmental monitoring projects, a large number of RS485-based sensors are already deployed, such as oxygen, temperature, and humidity sensors. The real challenge is not data collection, but: How to integrate these existing sensors into LoRaWAN networks and upper-level systems without replacing them? Taking the RS-O2WS-N01 Oxygen Temperature Humidity Sensor as an

This article explains how to upgrade RS-485 temperature controllers like ECS-2280NEO into LoRaWAN-enabled devices using KC11 and EdgeBus, and seamlessly integrate them into the ThinkLink platform for full data acquisition and management. 1. Background: Challenges in Legacy Temperature Control Systems In cold chain logistics, supermarket refrigeration, and pharmaceutical storage, a large number of temperature controllers

In industrial IoT projects, integrating LoRaWAN device data into existing PLC or SCADA systems has always been a major challenge. With ThinkLink’s native Modbus TCP support, wireless data can now be seamlessly integrated into industrial systems without complex development or architectural changes. 1. The Challenge of Integrating LoRaWAN with Industrial Systems Most industrial automation systems,

In LoRaWAN networks, time synchronization is not naturally guaranteed due to low-power and asynchronous communication. DeviceTimeReq is the mechanism designed to solve this challenge. 1. What is DeviceTimeReq? DeviceTimeReq is a MAC-layer command that allows end devices to request the current network time from the Network Server. The server responds with DeviceTimeAns. 👉 It provides

In large-scale LoRaWAN deployments, network congestion caused by limited downlink capacity has become a critical bottleneck. This article analyzes the root cause of air interface congestion and introduces three proven optimization strategies: join procedure control, confirmed message reduction, and local ADR implementation. These methods significantly improve network throughput and reliability. 1. Root Cause: Uplink–Downlink Asymmetry

Introduction: Why Weight Data Needs to Go Online In many industrial scenarios, weight data has always been critical. However, in traditional deployments, this data often remains local and isolated. With the rise of Industrial IoT, more applications now require: As a result, connecting weighing devices to IoT platforms has become essential. Typical Application Scenarios Weight

In LoRaWAN-based IoT systems, reducing power consumption while maintaining data accuracy is critical. The COV (Change of Value) algorithm enables event-driven communication by transmitting data only when significant changes occur. This article explains the working principle of COV and demonstrates how Manthink implements it in EdgeBus and ThinkLink to optimize energy efficiency and network scalability.

Battery life is a critical factor in wireless metering systems. This article analyzes the power consumption performance of the KC22 LoRaWAN collector based on real long-term testing in an M-Bus heat meter scenario. By comparing high-frequency test data with real deployment conditions, we estimate the practical battery life in heating applications. The article also demonstrates

1. Solution Overview In IoT deployments, low power consumption, long-range communication, and stable data acquisition are critical. This solution integrates: to build a complete wireless distance monitoring system. 2. DYP-A02 Sensor Features Feature Description Small blind zone Only 3 cm Multiple interfaces Modbus / UART / PWM / Analog წყალproof design Suitable for harsh environments