Lightning, as a natural phenomenon, although spectacular, poses a serious threat to human life and property safety. With the advancement of technology, the lightning warning and monitoring system has emerged and become an important tool for us to resist lightning disasters. By monitoring the changes in the atmospheric electric field in real time and combining with advanced early warning algorithms, this system can issue early warnings at critical moments before lightning activities occur, providing valuable emergency preparation time for relevant departments and personnel, thereby effectively reducing the losses caused by lightning disasters.

The WX-LD1 lightning early warning and monitoring system is capable of monitoring atmospheric electric field data in real time and capturing the precursor signals of lightning activities. Secondly, combined with advanced early warning algorithms, the system can conduct rapid analysis of monitoring data to determine the possibility and intensity of lightning activities. In addition, the system also features a flexible early warning release function. It can promptly issue early warning information to relevant departments and personnel through various means such as text messages, emails, and sound, light and electricity alarms based on preset early warning thresholds.

The lightning early warning monitoring system adopts high-precision and high-stability sensors and acquisition devices to ensure the accuracy and reliability of the monitoring data. Meanwhile, the system is equipped with powerful data processing and analysis capabilities, enabling in-depth mining and intelligent analysis of monitoring data to enhance the accuracy and timeliness of early warnings. In addition, the system also supports remote monitoring and management. Users can view monitoring data and early warning information in real time through the network platform, achieving information sharing and collaborative management.

Lightning local short-term early warning technology is an advanced application based on atmospheric electric field detection technology. This technology establishes a prediction model of lightning activities by combining real-time monitoring data and historical lightning activity data. When the real-time monitoring data meets the trigger conditions of the prediction model, the system will immediately initiate the early warning process and issue early warning information to relevant departments and personnel. Early warning information includes key details such as the intensity, range, and expected duration of lightning activities, which helps users take timely countermeasures and reduce the impact of lightning disasters.