Converged Communication IoT Data Transmission and Analysis System: Intelligent Environmental Awareness Hub for Rocket Launch Sites

The Converged Communication IoT Data Transmission and Analysis System addresses the comprehensive environmental monitoring and safety control requirements of rocket launch sites, building an IoT sensing architecture featuring "all-dimensional collection + highly reliable transmission + intelligent early warning + visualized presentation," providing real-time, precise data support and decision-making basis for launch mission safety.

I. All-Dimensional Multi-Scenario Environmental Data Collection

Multiple types of IoT sensors are deployed across the rocket launch site and surrounding key areas to achieve full-coverage, high-precision sensing of environmental parameters in operational scenarios:

• Precisely collect terminal device positioning information, launch site ambient temperature and humidity, as well as concentration data of toxic and hazardous gases such as gas, to comprehensively grasp the environmental situation of the launch site;

• Prioritize coverage of core operational areas including the launch pad vicinity, propellant storage zones, and rocket transport corridors, ensuring no blind spots in environmental monitoring and no omissions in data collection to meet the specific requirements of rocket launch scenarios.

II. Highly Reliable Low-Latency Data Transmission Links

A dedicated IoT transmission network is established based on the MQTT lightweight communication protocol to ensure efficient and stable return of massive terminal data:

• Data collected at each point is uploaded in real time via edge terminals to the IoT server at the base command center, achieving low-latency, high-reliability data transmission;

• The system accommodates concurrent access requirements of large-scale IoT terminals, maintaining stable communication links under the complex electromagnetic environment of the launch site, ensuring that massive monitoring data is neither lost nor interrupted.

III. Intelligent Tiered Early Warning and Rapid Risk Response

A multi-dimensional anomaly early warning mechanism is established to achieve early detection, early warning, and early response to environmental risks:

• The server performs real-time storage and intelligent analysis of collected data, with multi-dimensional safety thresholds preset for different monitoring parameters;

• Once monitoring data exceeds the safe range, the system automatically triggers tiered early warnings and pushes the warning information precisely to command terminals and relevant responsible personnel via the command & dispatch network, simultaneously displaying abnormal data details and risk levels to assist the command team in making rapid decisions.

IV. Platform-Based Collaboration and Visualized Situation Display

Leveraging the IoT platform and AI agent platform, integrated processing and intuitive presentation of all-domain data are achieved:

• Real-time cleaning, integration, and in-depth AI analysis of collected IoT data are performed to uncover potential risks in the environmental situation;

• A visualized interface intuitively displays comprehensive environmental parameters, terminal distribution, anomaly warnings, and other information across the launch site, providing command personnel with a comprehensive and clear environmental situation view, significantly enhancing the efficiency and accuracy of command decision-making.