DCS控制组态数据一致性与同步技术研究

宋美艳; 高少华; 薛建中; 胡波; 刘畅; 张军

doi:10.19666/j.rlfd.202505107

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DCS控制组态数据一致性与同步技术研究

热能科学研究 | 更新时间：2026-03-18

- DCS控制组态数据一致性与同步技术研究
- DCS控制组态数据一致性与同步技术研究
- 热力发电 2026年55卷第1期页码：160-168
- 作者机构：
  
  西安热工研究院有限公司
- 作者简介：
- 基金信息：
  
  中国华能集团有限公司总部科技项目（HNKJ25-H08）~~
- DOI：10.19666/j.rlfd.202505107
  中图分类号： TP273
- 纸质出版：2026
- 稿件说明：
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[1]宋美艳,高少华,薛建中,等.DCS控制组态数据一致性与同步技术研究[J].热力发电,2026,55(01):160-168.
[1]宋美艳,高少华,薛建中,等.DCS控制组态数据一致性与同步技术研究[J].热力发电,2026,55(01):160-168. DOI： 10.19666/j.rlfd.202505107.

DOI：10.19666/j.rlfd.202505107.

摘要

为解决传统分散控制系统（DCS）在复杂工业场景中因控制组态数据异步演化引发的系统失稳风险，构建了覆盖装备全生命周期的动态同步技术体系。针对工业过程控制逻辑偏移的深层原因，系统分析了DCS控制组态数据在转换与同步环节的潜在风险传导机理，提出了基于动态校验与全链路溯源的同步保障机制。通过构建镜像数字孪生映射模型，实现物理控制器与上位机的组态数据双向映射，结合双态协同闭环同步协议栈，形成“源-存-运”三位一体的技术架构。该体系突破传统同步模式的技术局限，在复杂操作条件下仍可确保控制组态数据的强一致性维护。经火电厂DCS工程实践验证，所提技术方案显著增强了控制系统对异常工况的容错能力，有效保障发电机组安全稳定运行，为能源领域关键信息基础设施的自主可控升级提供了重要技术支撑。该研究成果对同类工业控制系统具有重要参考价值，其设计理念可推广至流程工业、智能制造等多领域场景。

Abstract

To address the risk of system instability in conventional distributed control systems(DCS) in complex industrial settings which is caused by asynchronous evolution of control configuration data

a dynamic synchronization technology system covering the entire lifecycle of equipment is developed. It delves into the potential risk transmission mechanisms of DCS configuration data during conversion and synchronization

and presents a synchronization assurance mechanism based on dynamic verification and full-chain tracing. By creating a mirrored digital twin mapping model

it enables two-way mapping of configuration data between physical controllers and upper-computer systems. Together with a dual-state cooperative closed-loop synchronization protocol stack

this forms a triple-integrated architecture of “source-storage-operation”. Breaking through the limitations of conventional synchronization modes

this system ensures strong consistency of configuration data even under complex operating conditions. Verified in a thermal power plant's DCS project

the proposed technical solution significantly improves the control system's fault-tolerance under abnormal conditions

effectively ensuring safe and stable operation of power generation units. This offers key technological support for the independent and controllable upgrade of critical information infrastructure in the energy sector. The research holds great reference value for similar industrial control systems

and its design concept can be applied to various fields such as process industry and smart manufacturing.

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Keywords

references

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