Content area

Abstract

[...]the traditional method of meteorological data collection and transmission has a large delay in data acquisition due to the conversion of public network and internal network, which affects the timeliness of emergency decision-making. The traditional methods of meteorological data collection and transmission are difficult to meet the needs of modern gency This paper proposes an efficient real-time meteorological data collection and emergency response system based on the Internet of things platform. Traditional methods of meteorological data collection and transmission usually rely on regular or irregular data exchange between observation equipment at fixed stations and central data processing system. In general, the traditional methods of meteorological data collection and transmission face challenges in real-time, reliability and flexibility, especially in response to emergencies, which is difficult to meet the needs of rapid access to accurate meteorological information. [...]it is of great significance to improve the efficiency of real-time collection and transmission of meteorological data by exploring new technologies and solutions, such as the application of Internet of things technology and MQTT protocol[10-11].

Details

Business indexing term
Company / organization
Title
Real-time Meteorological Data Collection Emergency System of Internet of Things Platform
Publication title
Volume
16
Issue
1
Pages
1-5
Publication year
2025
Publication date
Feb 2025
Publisher
Wu Chu (USA-China) Science and Culture Media Corporation
Place of publication
Cranston
Country of publication
United States
Publication subject
ISSN
21523940
Source type
Scholarly Journal
Language of publication
English
Document type
General Information
ProQuest document ID
3200387158
Document URL
https://www.proquest.com/scholarly-journals/real-time-meteorological-data-collection/docview/3200387158/se-2?accountid=208611
Copyright
Copyright Wu Chu (USA-China) Science and Culture Media Corporation 2025
Last updated
2025-07-24
Database
ProQuest One Academic