一種國突預警信息分布式傳輸模型設計與驗證
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項目:

“預警信息精準靶向發布”青年創新團隊(CMA2023QN02),對發展中國家科技援助項目(KY202204004),中國氣象局氣候變化專題項目(QBZ202410)資助


Design and Validation of a Distributed Transmission Model for National Emergency Early Warning
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    國家突發事件預警信息發布系統(國突系統)是國家應急指揮調度平臺的重要組成部分, 是連接各部門的關鍵傳輸樞紐,在傳播預警信息方面發揮著非常重要的作用。隨著國突系統中預警數據種類和數量的急速增加,系統的承載能力和吞吐量面臨嚴峻考驗,制約了預警信息傳播的及時性和可用性。同時,大量的信息積壓在省級平臺,不利于預警信息的深度挖掘和價值體現,制約了精細化應急決策服務能力。為了解決國突系統傳輸效率的問題,本文提出了一種預警信息分布式傳輸方案:采用兩級部署四級應用模式,緩解多級部署導致的系統不穩定性;綜合利用消息中間件技術,添加數據傳輸的緩存能力,故障修復后,省級節點可以自動恢復傳輸,無需人工補錄;使用分布式集群技術,有助于提高系統的可擴展性,降低大規模故障的可能;設計傳輸消息的數據結構,使得傳輸的數據種類可動態擴展;強化了信息交互的安全認證和數據一致性校驗。所有功能使用接口對其他系統提供服務,以方便與其他業務系統的連接。實驗顯示,典型場景下一個通用警報協議文件寫入服務大約需要6.7 ms,讀取大約需要11.4 ms。在及時恢復響應方面,實驗也證明了該模型的有效性。傳播模型在貴州省的試點應用中取得了顯著成效。結果表明,該模型的傳輸效能比現行國突系統提高94.5倍,證明它是一種可全國實施的實用解決方案,有助于提高國省之間的預警信息傳輸效率。

    Abstract:

    The National Early Warning Release System (NEWRS) is an essential part of the National Emergency Command and Dispatch Platform System. It serves as a key transmission hub connecting various departments and plays a very important role in disseminating warning information. With the increase in the variety and volume of warning data, the NEWRS faces challenges. The capacity and throughput of the NEWRS are under intense restrictions. Problems like low transmission efficiency, limited data processing capability, and high system failure are serious. These problems affect the timely availability of disseminating warning information. The phenomenon that a large amount of data can only exist in the original system is significant. These data are not shared, which does not help to integrate data. It also limits data mining and advanced warning decision-making services. The paper presents a distributed transmission plan for warning data. It promotes a warning transmission model to solve these problems. The transmission model can serve four levels of application: national, provincial, municipal, and county levels. However, it is implemented at national and provincial levels to relieve the instability of the NEWRS caused by multi-level deployment. Meanwhile, it enhances data transmission with caching services using message-oriented middleware technologies. Provincial nodes can serve as a caching function. Once the fault is fixed, provincial nodes can resume transmission automatically. Besides, the transmission model employs distributed clustering technologies to help increase the scalability of the system and reduce the possibility of large-scale failures. It can continue to work when there are some node errors. The warning transmission model improves message-oriented middleware by designing a message data structure, so the transmission model can support dynamic expansion for data types. At the same time, security authentication and data consistency verification for data exchange have been strengthened. All these functions are provided as interface services to facilitate integration with other business systems. To verify these capabilities of the warning transmission model, we conduct experiments in data carrying capacity. Writing a Common Alert Protocol message data requires around 6.7 milliseconds, and reading it takes about 11.4 milliseconds. In timely recovery response, the experiments also show the model is effective. Notably, the transmission model achieves remarkable results in the pilot application in Guizhou Province. The results show that the transmission efficiency of the model is confirmed to be about 94.5 times higher compared to the NEWRS. It has been shown as a practical solution with the potential for nationwide implementation. This will improve the efficiency of communication between national and provincial levels.

    參考文獻
    相似文獻
    引證文獻
引用本文

宋瑛瑛,韓強,王佳禾,惠建忠,蘇靜文.一種國突預警信息分布式傳輸模型設計與驗證[J].氣象科技,2025,53(2):293~300

復制
分享
文章指標
  • 點擊次數:
  • 下載次數:
  • HTML閱讀次數:
  • 引用次數:
歷史
  • 收稿日期:2024-04-09
  • 定稿日期:2024-11-27
  • 錄用日期:
  • 在線發布日期: 2025-04-21
  • 出版日期:
您是第位訪問者
技術支持:北京勤云科技發展有限公司
午夜欧美大片免费观看,欧美激情综合五月色丁香,亚洲日本在线视频观看,午夜精品福利在线
>