Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
A Coordinated Bidirectional Data Fusion Processing System for Meteorological Applications. |
| Συγγραφείς: |
Yang, Feifei, Cao, Lei, Chen, Jinghua, Zhang, Qiang |
| Πηγή: |
Computers (2073-431X); Jul2026, Vol. 15 Issue 7, p467, 22p |
| Θεματικοί όροι: |
Multisensor data fusion, Data integration, Flow control (Data transmission systems), Computer network architectures |
| Περίληψη: |
This study proposes a coordinated bidirectional meteorological data fusion processing system for controlled data exchange across the intranet, demilitarized zone (DMZ), and Internet. The system adopts a three-layer isolation architecture and integrates Apache MiNiFi, Apache NiFi, and Apache Kafka to coordinate edge preprocessing, DMZ-based fusion processing, asynchronous message buffering, and Internet service publication. Kerberos authentication, access control, and operational monitoring support outbound data-product services and inbound user-request-driven workflows. Operational evaluation at the National Meteorological Science Data Center showed that edge preprocessing reduced cross-domain data volume by an average of 95%; representative bidirectional workflows were completed within minutes; and the average Kafka message-processing success rate over three consecutive months was 99.77%. The system has supported the automated generation and external publication of human comfort index products, while its core mechanisms have been generalized into a reusable software stack for cross-domain scientific data applications. The results indicate that the proposed architecture provides a practical and deployable approach to efficient and controlled bidirectional meteorological data fusion without changing existing network security boundaries. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |