SShortSingh.
Back to feed

How DNP3 Uses Event-Driven Buffering to Outperform Cyclic Polling Protocols

0
·1 views

DNP3 (Distributed Network Protocol 3) was designed for wide-area industrial networks such as power grids and water systems, where links are slow, intermittent, or high-latency. Unlike Modbus or EtherNet/IP, which rely on cyclic polling that loses intermediate state changes during network outages, DNP3 uses event-driven, buffered telemetry to preserve every state transition. The protocol organizes data into typed Objects identified by Group and Variation, allowing precise bandwidth optimization over constrained channels. Data is further divided into Class 0 static snapshots and Class 1–3 event buffers, prioritized by urgency, so a Master station can retrieve only what has changed rather than polling all registers repeatedly. When a field value changes, the Outstation timestamps the event and queues it in the appropriate buffer until the Master requests it, ensuring no state change is silently lost.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

GQEngine: Lua-based 2D game engine built for simplicity and education

GQEngine is an experimental, open-source 2D game engine currently in early planning and development, created by Game Quest Studio. The project is written entirely in Lua and built around a modular plugin system, requiring no direct use of C or C++. It aims to include core game development features such as a state machine, event manager, camera, and scene system, all powered by LuaJIT and lua-sdl2. The engine is designed to simplify game development education and content production for the Game Quest Studio platform. The project is publicly available on GitHub, where the developer welcomes suggestions and community participation.

0
ProgrammingHacker News ·

Anthropic's Claude AI Found Capable of Identifying Cryptographic Weaknesses

Anthropic has published research exploring how its Claude AI model can be used to discover cryptographic vulnerabilities. The study suggests that large language models may have practical applications in the field of cryptographic security analysis. The research was shared on Anthropic's official website and drew attention from the Hacker News community. The findings raise important questions about both the offensive and defensive potential of AI in cybersecurity. Anthropic's work highlights a growing interest in leveraging AI tools to identify weaknesses in security systems before malicious actors can exploit them.

0
ProgrammingHacker News ·

OpenAI Explores Role of Agentic AI in Scientific Computing

OpenAI has published a piece examining how agentic AI systems are beginning to influence scientific computing workflows. The article explores the intersection of autonomous AI agents and computational science, suggesting a shift in how research tasks may be approached. Agentic AI refers to systems capable of taking multi-step actions toward goals with minimal human intervention. The discussion reflects growing industry interest in applying large language models and AI agents to complex scientific problem-solving.

0
ProgrammingHacker News ·

Steel Bank Common Lisp Releases Version 2.6.7

Steel Bank Common Lisp (SBCL), a high-performance open-source compiler and runtime for the Common Lisp programming language, has released version 2.6.7. The update was announced on the official SBCL website along with its full release notes. SBCL is a widely used implementation of Common Lisp, known for its native code compilation and active development community. The release details are available on the project's news page at sbcl.org.