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EdgeBus A Low Power Event Driven Virtual Machine for IoT Edge Data Acquisition and Transmission

EdgeBus is a low power event driven virtual machine framework designed by Manthink for IoT edge devices operating on resource constrained MCUs. It provides a unified mechanism for data acquisition, protocol parsing, data encapsulation, uplink transmission and firmware upgrade over LPWAN networks such as LoRaWAN. EdgeBus solves essential system challenges including version management, remote FUOTA, network collision avoidance and field maintenance. At its core, EdgeBus introduces a dual event mechanism consisting of periodic Query Events and LoraUp Events, enabling an automated pipeline from sensor data collection to reliable long range wireless transmission. With structured development tools, local ADR, maintenance features and FUOTA optimization, EdgeBus offers a scalable and maintainable solution for large scale IoT deployments with strict power and reliability requirements.

  1. Overview and Core Concepts

EdgeBus is a lightweight virtual machine running on low power MCUs. Its design goal is to standardize how IoT edge devices collect sensor data, process protocols and transmit uplinks while maintaining extremely low power consumption required by LPWAN applications.

Its core is an event driven architecture, consisting of:

1 Query Event

Periodically interacts with sub devices such as RS 485 / Modbus meters

Performs CRC validation, parsing, byte order handling

Wakes up the MCU only when necessary, minimizing energy consumption

2 LoraUp Event

Periodically assembles processed data and uploads via LoRaWAN

Supports packet segmentation, data streaming and Class A / C switching

Ensures reliable uplink under constrained network conditions

This dual event mechanism builds a highly efficient and fully automated workflow inside a low power IoT terminal.

  1. Key Features and Technical Characteristics

EdgeBus integrates firmware upgrades, data parsing, ADR optimization and maintenance tools into a unified framework.

2.1 Feature Comparison Table

  1. Application Scenarios and Industry Benefits

EdgeBus is suitable for IoT applications requiring large scale deployment, high reliability and extremely low maintenance cost.

3.1 Target Users and Values

3.2 Typical Scenarios
1 Smart Utility (Water, Gas, Electricity, Heat)

Requirements: scheduled reading, low power, long term stability

EB Value: time sync, multi bin FUOTA, reduced maintenance workload

2 Industrial Device Monitoring

Requirements: reliable Modbus data collection and threshold alarms

EB Value: flexible parsing logic, intelligent triggering mechanisms

3 Smart City and Environmental Monitoring

Requirements: large area deployment, blind spot elimination, quick debugging

EB Value: relay functions and handheld commissioning accelerate field work

  1. Conclusion

EdgeBus is not just a communication wrapper but a complete edge side virtual machine designed for long term, large scale LPWAN deployments. Through its event driven architecture, structured data model, FUOTA optimization and maintenance tools, EdgeBus effectively solves challenges across the entire lifecycle of IoT devices from development to deployment and long term maintenance. It is an ideal foundation for engineering teams seeking reliability, scalability and ultra low power performance.

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