Lightning Early Warning Device, 30 km Remote Alert

Henan Bangxin Anti-corrosion Materials Co., Ltd. specializes in the production of lightning warning systems. Depending on the requirements of the usage scenario, different installation methods can be flexibly adopted: fixed lightning warning systems, vehicle-mounted lightning warning systems, and portable lightning warning systems.

Lightning monitoring and warning refer to the use of observation data such as lightning location, radar, satellite, ground electric field, and sounding, through multi-data fusion applications, statistical analysis, near-field extrapolation, and numerical forecasting techniques, to identify, track, and forecast warnings for areas where lightning may occur or has already occurred. Real-time monitoring of lightning activities and graded warnings for lightning proximity have been carried out for key locations, effectively preventing and reducing the impact of lightning.

Using single-station electric field observations makes it difficult to estimate the location of thunderstorm clouds. The warning area and advance warning time are very limited, and there are some uncertainties. Additionally, since ground atmospheric electric field measurements are greatly affected by the installation environment, especially in urban areas, it is difficult to find ideal installation conditions. Therefore, the average electric field warning indicators used at different sites vary and require site calibration or empirical criteria based on long-term observations.

  For passing thunderstorms, due to the limited effective response range of electric field meters, the advance warning time is greatly restricted (of course, networked observations or other observations such as radar, satellite, and lightning location can help). For newly formed thunderstorm clouds within the observation network area of electric field meters, ground electric field observations can theoretically achieve good warning effects (using the average trend of electric field changes as a warning indicator), but this still needs to be verified with actual observations.