CN-122017370-A - Electromagnetic environment abnormal data prediction and early warning system

CN122017370ACN 122017370 ACN122017370 ACN 122017370ACN-122017370-A

Abstract

The invention provides an electromagnetic environment abnormal data prediction and early warning system, and relates to the technical field of electromagnetic environment monitoring. The system is configured to acquire regional electromagnetic monitoring historical data, extract abnormal electromagnetic data to form regional electromagnetic monitoring abnormal data, conduct abnormal change feature analysis according to the regional electromagnetic monitoring abnormal data to form electromagnetic abnormal change feature data, acquire regional electromagnetic monitoring real-time data, and conduct electromagnetic abnormal prediction analysis according to the electromagnetic abnormal change feature data to form electromagnetic abnormal early warning data. The system realizes the rapid real-time abnormal monitoring effect and adaptive abnormal response through reasonable data analysis.

Inventors

YIN PENG
SHI YAN
ZHU SANLI
GE YIZHENG
YAN WEIHAO
LIU YIWEI

Assignees

军工保密资格审查认证中心

Dates

Publication Date: 20260512
Application Date: 20260319

Claims (10)

1. The electromagnetic environment abnormal data prediction and early warning system is characterized by being configured to: Acquiring regional electromagnetic monitoring historical data, and extracting abnormal electromagnetic data to form regional electromagnetic monitoring abnormal data; performing abnormal change characteristic analysis according to the electromagnetic monitoring abnormal data of the region to form electromagnetic abnormal change characteristic data; And collecting real-time electromagnetic monitoring data of the region, and carrying out electromagnetic anomaly prediction analysis by combining the electromagnetic anomaly change characteristic data to form electromagnetic anomaly early warning data.
2. The electromagnetic environment anomaly data prediction and early warning system of claim 1, wherein the acquiring the regional electromagnetic monitoring historical data and extracting the anomaly electromagnetic data to form regional electromagnetic monitoring anomaly data comprises: acquiring all different normal electromagnetic signal data in a monitoring area in a history monitoring period according to the area electromagnetic monitoring history data to form area history monitoring normal electromagnetic data; according to the regional history monitoring normal electromagnetic data, extracting abnormal electromagnetic signal data of the regional electromagnetic monitoring history data in the history monitoring period to form regional history monitoring abnormal electromagnetic data; and carrying out data spatialization processing on the regional history monitoring abnormal data, and establishing regional history electromagnetic abnormal change spatial data in the monitoring region.
3. The electromagnetic environment anomaly data prediction and early warning system of claim 2, wherein the performing data spatialization processing on the area history monitoring anomaly data to create area history electromagnetic anomaly change spatial data in the monitored area comprises: Carrying out coordinated treatment on the monitoring area, and establishing an area position coordinate system of the monitoring area; performing abnormal electromagnetic intensity calibration on different position points along with the time dimension sequence in the region position coordinate system according to the region history monitoring abnormal data by taking the time dimension sequence as a reference to form region history abnormal electromagnetic intensity change space data; Performing abnormal electromagnetic frequency calibration on different position points along with the time dimension sequence in the region position coordinate system according to the region history monitoring abnormal data by taking the time dimension sequence as a reference to form region history abnormal electromagnetic frequency change space data; and collecting the regional historical abnormal electromagnetic intensity change spatial data and the regional historical abnormal electromagnetic frequency change spatial data to form the regional historical electromagnetic abnormal change spatial data.
4. The electromagnetic environment anomaly data prediction and early warning system of claim 3, wherein the performing anomaly change feature analysis according to the regional electromagnetic monitoring anomaly data to form electromagnetic anomaly change feature data comprises: According to the regional historical abnormal electromagnetic intensity change spatial data, performing electromagnetic intensity spatial change characteristic analysis aiming at abnormal exceeding standard to form electromagnetic abnormal intensity spatial change characteristic data; According to the regional historical abnormal electromagnetic frequency change spatial data, performing electromagnetic frequency spatial change characteristic analysis aiming at abnormal exceeding standard to form electromagnetic abnormal frequency spatial change characteristic data; and extracting the characteristics aiming at the abnormal exceeding grade according to the electromagnetic abnormal intensity spatial variation characteristic data and the electromagnetic abnormal frequency spatial variation characteristic data to form the electromagnetic abnormal variation characteristic data.
5. The system for predicting and warning electromagnetic environment anomaly data according to claim 4, wherein said performing an electromagnetic intensity spatial variation characteristic analysis for anomaly exceeding based on said region historical anomaly electromagnetic intensity variation spatial data to form electromagnetic anomaly intensity spatial variation characteristic data comprises: Extracting an out-of-standard area diffusion change curve of area diffusion in each out-of-standard area of the electromagnetic data according to the historical abnormal electromagnetic intensity change spatial data of the area N represents the serial numbers of different events with electromagnetic data abnormal exceeding standard, which are determined according to the time dimension sequence; extracting an out-of-standard abnormal electromagnetic intensity change curve of the total abnormal electromagnetic intensity when the electromagnetic data are out-of-standard every time according to the historical abnormal electromagnetic intensity change space data of the area ; For each occurrence of abnormal exceeding of electromagnetic data, according to the corresponding exceeding area diffusion change curve And the superscalar abnormal electromagnetic intensity change curve Determining the spatial change curve of the electromagnetic intensity exceeding the standard , wherein, ; Collecting all the above-mentioned over-standard abnormal electromagnetic intensity space change curves And forming the electromagnetic abnormal intensity spatial variation characteristic data.
6. The system for predicting and warning electromagnetic environment anomaly data according to claim 5, wherein said performing electromagnetic frequency spatial variation characteristic analysis for anomaly exceeding based on said region historical anomaly electromagnetic frequency variation spatial data to form electromagnetic anomaly frequency spatial variation characteristic data comprises: Extracting an over-standard abnormal electromagnetic frequency change curve of abnormal electromagnetic comprehensive frequency when the electromagnetic data are abnormal and over-standard each time according to the historical abnormal electromagnetic frequency change space data of the area ; For each occurrence of abnormal exceeding of electromagnetic data, according to the corresponding exceeding area diffusion change curve And the over-standard abnormal electromagnetic frequency change curve Determining the spatial change curve of the electromagnetic frequency with the abnormal superscript , wherein, ; Collecting all the electromagnetic frequency space change curves with the standard exceeding abnormal And forming the electromagnetic abnormal frequency space change characteristic data.
7. The electromagnetic environment anomaly data prediction and early warning system of claim 6, wherein the performing feature extraction for anomaly superscalar based on the electromagnetic anomaly intensity spatial variation feature data and the electromagnetic anomaly frequency spatial variation feature data to form the electromagnetic anomaly variation feature data comprises: calibrating the identification level of different events with abnormal exceeding of electromagnetic data according to the electromagnetic monitoring historical data of the area; clustering based on the identification levels is carried out on different events with electromagnetic data abnormal exceeding standard, so as to form electromagnetic data abnormal exceeding standard same-level event sets corresponding to different identification levels; Performing feature extraction aiming at the intensity space change feature data and the frequency space change feature data on different electromagnetic data abnormal exceeding same-level event sets to form equal-level electromagnetic abnormal exceeding initial feature data; And performing feature contrast analysis on the same-level electromagnetic abnormal exceeding initial feature data corresponding to different electromagnetic data abnormal exceeding same-level event sets to form electromagnetic abnormal change feature data.
8. The electromagnetic environment anomaly data prediction and early warning system of claim 7, wherein the feature extraction for the intensity spatial variation feature data and the frequency spatial variation feature data is performed on different electromagnetic data anomaly superscalar same-level event sets to form the same-level electromagnetic anomaly superscalar initial feature data, comprising: The electromagnetic data abnormal exceeding standard is carried out on the electromagnetic intensity space change curve of the exceeding standard corresponding to all the events in the same-level event set Defining the range of the change curve in the time dimension, and extracting the corresponding level maximum superscript abnormal electromagnetic intensity space change curve And level minimum exceeding abnormal electromagnetic intensity space change curve Forming the space curve change range of the electromagnetic intensity with the level exceeding the standard , wherein, K represents the grade number of different electromagnetic data abnormal exceeding same grade event sets; The electromagnetic data are abnormal, the standard exceeding and abnormal electromagnetic frequency space change curve corresponding to all the events in the same-level event set is abnormal and standard exceeding Defining the range of the change curve in the time dimension, and extracting the corresponding level maximum superscript abnormal electromagnetic frequency space change curve And level minimum superscript abnormal electromagnetic frequency space change curve Forming the variation range of the electromagnetic frequency space curve with the level exceeding the standard , wherein, ; For different electromagnetic data abnormal exceeding standard level event sets, combining corresponding electromagnetic intensity space curve change ranges with the level exceeding standard And the range of variation of the electromagnetic frequency space curve with the level exceeding the standard And forming corresponding initial characteristic data of the electromagnetic anomaly exceeding of the same level.
9. The electromagnetic environment anomaly data prediction and early warning system of claim 8, wherein the performing feature contrast analysis on the level electromagnetic anomaly superscalar initial feature data corresponding to the different electromagnetic data anomaly superscalar same-level event sets to form the electromagnetic anomaly change feature data comprises: and comparing and analyzing the electromagnetic data abnormal exceeding standard of the same grade corresponding to the same grade electromagnetic abnormal exceeding standard initial characteristic data of different electromagnetic data abnormal exceeding standard of the same grade event set in the following modes: If different electromagnetic data are abnormal and exceed the standard and the level corresponding to the event set of the same level exceeds the standard, the electromagnetic intensity space curve change range is abnormal in the level And the range of variation of the electromagnetic frequency space curve with the level exceeding the standard And if the electromagnetic data are not intersected correspondingly, the electromagnetic data are abnormal and exceed the standard, and the level is abnormal and exceeds the standard, the electromagnetic intensity space curve change range is abnormal, and the electromagnetic data are abnormal and exceed the standard, and the level is abnormal and corresponds to the level event set And the range of variation of the electromagnetic frequency space curve with the level exceeding the standard Determining the electromagnetic abnormal change characteristic data corresponding to the electromagnetic abnormal change characteristic data; If different electromagnetic data are abnormal and exceed the standard and the level corresponding to the event set of the same level exceeds the standard, the electromagnetic intensity space curve change range is abnormal in the level And the range of variation of the electromagnetic frequency space curve with the level exceeding the standard If only one range corresponds to intersection, the electromagnetic data are abnormal, the level of which is over standard and the electromagnetic intensity space curve change range is over standard and is corresponding to the level event set And the range of variation of the electromagnetic frequency space curve with the level exceeding the standard Determining the electromagnetic abnormal change characteristic data corresponding to the electromagnetic abnormal change characteristic data; If different electromagnetic data are abnormal and exceed the standard and the level corresponding to the event set of the same level exceeds the standard, the electromagnetic intensity space curve change range is abnormal in the level And the range of variation of the electromagnetic frequency space curve with the level exceeding the standard If two types of ranges are intersected correspondingly, after deleting the intersected areas, different electromagnetic data abnormal exceeding same-level event sets are corresponding to the newly formed level exceeding abnormal electromagnetic intensity space curve change ranges And level exceeding abnormal electromagnetic frequency space curve change range And determining the electromagnetic abnormal change characteristic data corresponding to the electromagnetic abnormal change characteristic data.
10. The electromagnetic environment anomaly data prediction and early warning system of claim 9, wherein the collecting area electromagnetic monitoring real-time data and combining the electromagnetic anomaly change characteristic data to perform electromagnetic anomaly prediction analysis to form electromagnetic anomaly early warning data comprises: Extracting corresponding real-time abnormal electromagnetic intensity space change curves on all monitoring subareas with different abnormal electromagnetic intensities in the monitoring area according to the area electromagnetic monitoring real-time data And corresponding real-time abnormal electromagnetic frequency space change curve ; According to the electromagnetic abnormal change characteristic data, the real-time abnormal electromagnetic intensity space change curves corresponding to different monitoring subareas are obtained And the real-time abnormal electromagnetic frequency space change curve The following anomaly prediction analysis was performed: If any real-time abnormal electromagnetic intensity space change curve corresponding to the monitoring subarea exists And the real-time abnormal electromagnetic frequency space change curve All belong to the determined electromagnetic data abnormal exceeding standard and the corresponding electromagnetic intensity space curve change range of the level exceeding standard abnormal corresponding to the level event set And the range of variation of the electromagnetic frequency space curve with the level exceeding the standard Calibrating the corresponding monitoring subareas to be corresponding identification levels; if no real-time abnormal electromagnetic intensity space change curve corresponding to any monitoring subarea exists And the real-time abnormal electromagnetic frequency space change curve All belong to the determined electromagnetic data abnormal exceeding standard and the corresponding electromagnetic intensity space curve change range of the level exceeding standard abnormal corresponding to the level event set And the range of variation of the electromagnetic frequency space curve with the level exceeding the standard And continuously acquiring the real-time data of all the monitoring subareas for comparison analysis.

Description

Electromagnetic environment abnormal data prediction and early warning system Technical Field The invention relates to the technical field of electromagnetic environment monitoring, in particular to an electromagnetic environment abnormal data prediction and early warning system. Background Electromagnetic environment monitoring is a technical means for evaluating electromagnetic environment conditions by measuring and analyzing parameters such as intensity, frequency, distribution and the like of electromagnetic signals in a specific area in real time or periodically. The electromagnetic abnormal conditions of the environment can be timely found through real-time monitoring, and corresponding measures can be taken. Currently, most of electromagnetic environment anomaly monitoring is judged through simple threshold analysis, and judgment standards are unreasonable and are greatly dependent on empirical data. And then, the electromagnetic abnormal situation cannot be accurately and reliably predicted, so that the equipment facilities cannot be damaged due to untimely coping, and the response degree to the electromagnetic abnormal event cannot be rapidly determined. Therefore, designing an electromagnetic environment abnormal data prediction and early warning system, and realizing rapid real-time abnormal monitoring effect and adaptive abnormal response through reasonable data analysis is a current urgent problem to be solved. Disclosure of Invention The invention aims to provide an electromagnetic environment abnormal data prediction and early warning system, which is used for deleting electromagnetic signals normally existing in a region class according to regional electromagnetic monitoring historical data to form electromagnetic abnormal data, analyzing and extracting characteristic change data aiming at abnormal grades according to electromagnetic abnormal change conditions of intensity and frequency in a space region from the electromagnetic abnormal data, and further carrying out corresponding real-time abnormal judgment on the electromagnetic abnormal data monitored in real time by utilizing the characteristic change data, so that abnormal monitoring is more effectively and real-time realized, and adaptive matching of abnormal condition treatment is carried out according to monitoring results. The electromagnetic environment anomaly data prediction and early warning system is configured to acquire regional electromagnetic monitoring historical data, extract anomaly electromagnetic data to form regional electromagnetic monitoring anomaly data, conduct anomaly change feature analysis according to the regional electromagnetic monitoring anomaly data to form electromagnetic anomaly change feature data, acquire regional electromagnetic monitoring real-time data, and conduct electromagnetic anomaly prediction analysis according to the electromagnetic anomaly change feature data to form electromagnetic anomaly early warning data. According to the electromagnetic anomaly detection system, electromagnetic anomaly data are formed by deleting electromagnetic signals normally existing in the region according to the regional electromagnetic monitoring historical data, characteristic change data aiming at the anomaly level are analyzed and extracted according to the electromagnetic anomaly change conditions of intensity and frequency in the spatial region, and then the characteristic change data can be utilized to carry out corresponding real-time anomaly judgment on the electromagnetic anomaly data monitored in real time, so that anomaly monitoring is more effectively and real-time realized, and adaptive matching of anomaly condition treatment is carried out according to monitoring results. The method comprises the steps of acquiring regional electromagnetic monitoring historical data, extracting abnormal electromagnetic data to form regional electromagnetic monitoring abnormal data, acquiring all different normal electromagnetic signal data in a monitoring region in a historical monitoring period according to the regional electromagnetic monitoring historical data to form regional historical monitoring normal electromagnetic data, extracting the abnormal electromagnetic signal data of the regional electromagnetic monitoring historical data in the historical monitoring period according to the regional historical monitoring normal electromagnetic data to form regional historical monitoring abnormal electromagnetic data, carrying out data spatial processing on the regional historical monitoring abnormal data, and establishing regional historical electromagnetic abnormal change spatial data in the monitoring region. According to the method, firstly, electromagnetic data information of electromagnetic signals which normally occur in a monitoring area is extracted according to area history monitoring abnormal data, then abnormal electromagnetic data in the whole history monitoring period is determined through the elimi