Shandong Fengtu IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
time:2025-02-18 09:35:18 source:Weather Station viewed:168 time
Highway visibility monitoring is a crucial part of ensuring road traffic safety. With the development of mobile Internet technology, the Road Weather Information System has achieved a functional leap from the computer terminal to the mobile phone terminal.
The traditional computer - based monitoring system is based on fixed workstations and uses wired networks to transmit data. Although it has realized basic monitoring functions, it has problems such as insufficient flexibility and slow response speed. The system architecture is mainly centralized, and the data processing capacity is limited by the performance of local servers.
The breakthrough in mobile Internet technology has made it possible to upgrade the system. The high - speed and low - latency characteristics of 4G/5G networks, the maturity of cloud computing technology, and the popularization of smart terminal devices have laid a technical foundation for the migration of the Road Weather Information System to the mobile side.
The mobile - phone - based monitoring system adopts a distributed architecture, and all links of data collection, transmission, and processing have been cloud - enabled. The system supports multi - terminal access and has the characteristics of strong real - time performance, wide coverage, and convenient use, significantly improving the monitoring efficiency.
Mobile terminals can receive monitoring data in real - time, achieving all - weather and all - round visibility monitoring.
The data processing capacity has been qualitatively improved. Cloud servers can process data from multiple monitoring points simultaneously. By using big data analysis technology, accurate prediction of visibility changes can be achieved. The mobile application supports data visualization display, facilitating users to intuitively understand road condition information.
The early - warning mechanism has become more intelligent. The system can automatically classify early warnings according to visibility changes and send early - warning information to drivers and management departments in a timely manner through mobile push notifications, text messages, etc., improving the emergency response speed.
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