Real-time monitoring and alarming system for atmospheric electric field

Abstract

The invention discloses a real-time monitoring and alarming system for an atmospheric electric field. The real-time monitoring and alarming system comprises a collecting device, a processing device and an alarming device, and the collecting device and the alarming device are both connected with the processing device; the processing device is based on a Windows operating system framework and comprises an electric field data alarming feature retrieval unit, an alarm sending unit, an electric field data classification unit, an electric field data management unit, an unsupervised learning unit, asupervised learning unit and a hierarchical structure database dynamically established during operation; the processing device operates a plurality of conditioned cyclic processes, during operation ofeach process, the unsupervised learning unit or the supervised learning unit and the hierarchical structure database corresponding to the unsupervised learning unit or the supervised learning unit are accessed, an electric field data input unit, the electric field data alarming feature retrieval unit and the alarm sending unit are sequentially connected, and the electric field data input unit, the electric field data classification unit and the electric field data management unit are also sequentially connected; and the unsupervised learning unit and the supervised learning unit are also connected with the electric field data management unit.

Description

technical field [0001] The invention relates to the field of lightning early warning, in particular to a multifunctional atmospheric electric field real-time monitoring and warning system. Background technique [0002] The electric field monitoring and early warning system can be used for services such as conventional meteorological business forecast, forest lightning fire warning, aerospace support and power system security; it can also provide short Timely thunderstorm monitoring and forecasting, such as the AEFI atmospheric electric field instrument is designed based on the principle of high-precision grinding disc induction, the data acquisition and processing units are all integrated inside the sensor probe, the central station software can simultaneously display lightning and electric field changes, through wired or wireless communication The module transmits data and establishes an AEFI electric field monitoring and early warning system, which can monitor the atmosphe...

AI Technical Summary

Problems solved by technology

[0003] However, similar electric field monitoring and early warning systems still have some defects. For example, the above-mentioned electric field monitoring and early warning system only relies on simple principle prediction and limited data experience to predict lightning early warning. The accuracy of this prediction method is based on limited experience. Therefore, it is relatively low. In addition, the range of lightning activities is generally specific. For example, in some areas or under certain conditions, lightning activities are relatively frequent. The existing early warning systems are all balanced and cannot be focused. Overall, the efficiency and accuracy of early warning are lower

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