CN116027118B - Electromagnetic environment monitoring method and system applied to weather radar station - Google Patents
Electromagnetic environment monitoring method and system applied to weather radar station Download PDFInfo
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Abstract
The invention provides an electromagnetic environment monitoring method and system applied to a weather radar station, which relate to the field of electromagnetic environment monitoring and comprise the following steps: the method comprises the steps that basic information of a weather radar station is obtained, wherein the basic information comprises radar station geographic coordinate information and radar distribution information; the matching region electromagnetic environment information comprises preset instrument distribution information, electric power facility distribution information and traffic facility distribution information; acquiring a kth radar monitoring point position; moving from the kth-1 radar monitoring point to the kth radar monitoring point to perform electromagnetic environment analysis, obtaining the electromagnetic environment influence degree of the kth point, and judging whether the electromagnetic environment influence degree of the kth point is smaller than or equal to the electromagnetic environment influence degree of the kth-1 point; if k meets the counting threshold, adding the kth radar monitoring point into the weather radar monitoring preferable point to detect the electromagnetic environment, and when the electromagnetic environment detection result meets the preset requirement, performing weather monitoring. The technical problem of lack of a scheme capable of rapidly analyzing electromagnetic environments so as to improve detection efficiency of a weather radar station is solved.
Description
Technical Field
The invention relates to the technical field of electromagnetic environment monitoring, in particular to an electromagnetic environment monitoring method and system applied to a weather radar station.
Background
The weather radar station refers to a base station for monitoring atmospheric weather by using a radar, and has wide application. However, with rapid development of information technology, various electronic equipment layers are endless, the frequency spectrum width occupied by frequency equipment is increasingly increased, so that the electromagnetic environment where a radar is located is gradually complicated, and the influence on the radar is increasingly serious, therefore, before the weather radar is installed, site selection is required, the installation address of the weather radar needs to meet the condition that no useful suspicious signal exists in the radar working frequency band of 9300-9500 MHz, and the electromagnetic environment meets the requirement of setting a radar station.
In the prior art, detection is carried out by directly utilizing a detection instrument for detection on the electromagnetic environment of the weather radar station, but the efficiency is lower, so that the technical problem of lacking technical means capable of rapidly analyzing the electromagnetic environment exists, and the detection efficiency of the weather radar station is improved.
Disclosure of Invention
The application provides an electromagnetic environment monitoring method and system applied to a weather radar station, which are used for directly detecting the electromagnetic environment of the weather radar station by using a detection instrument in the prior art, and have the technical problems of lack of technical means capable of rapidly analyzing the electromagnetic environment and improving the detection efficiency of the weather radar station due to low efficiency.
In view of the above problems, the present application provides an electromagnetic environment monitoring method and system applied to a weather radar station.
In a first aspect of the present application, there is provided an electromagnetic environment monitoring method applied to a weather radar station, including: acquiring basic information of a weather radar station, wherein the basic information of the weather radar station comprises geographic coordinate information of the radar station and radar distribution information; matching regional electromagnetic environment information according to the geographic coordinate information of the radar station, wherein the regional electromagnetic environment information comprises preset instrument distribution information, electric power facility distribution information and traffic facility distribution information; acquiring a kth radar monitoring point according to the geographic coordinate information of the radar station; according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, moving from a kth-1 radar monitoring point to the kth radar monitoring point to perform electromagnetic environment analysis, and obtaining the influence degree of the electromagnetic environment of the kth point; judging whether the electromagnetic environment influence degree of the kth point is smaller than or equal to the electromagnetic environment influence degree of the kth-1 point; if the k is smaller than or equal to the counting threshold value, judging whether k meets the counting threshold value or not; if yes, adding the kth radar monitoring point into a weather radar monitoring preferred point; and detecting the electromagnetic environment of the weather radar monitoring preferential point, and when the electromagnetic environment detection result meets the preset requirement, performing weather monitoring according to the weather radar monitoring preferential point.
In another aspect of the present application, there is provided an electromagnetic environment monitoring system applied to a weather radar station, including: the first information acquisition unit is used for acquiring basic information of a weather radar station, wherein the basic information of the weather radar station comprises geographic coordinate information of the radar station and radar distribution information; the second information acquisition unit is used for matching regional electromagnetic environment information according to the geographic coordinate information of the radar station, wherein the regional electromagnetic environment information comprises preset instrument distribution information, electric power facility distribution information and traffic facility distribution information; the first information matching unit is used for acquiring a kth radar monitoring point position according to the geographic coordinate information of the radar station; the electromagnetic environment analysis unit is used for moving from a kth-1 radar monitoring point to the kth radar monitoring point to perform electromagnetic environment analysis according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, and acquiring a kth point electromagnetic environment influence degree first judgment unit which is used for judging whether the kth point electromagnetic environment influence degree is smaller than or equal to the kth-1 point electromagnetic environment influence degree; the second judging unit is used for judging whether k meets the counting threshold value or not if the k is smaller than or equal to the counting threshold value; if the first execution is satisfied, adding the kth radar monitoring point into a weather radar monitoring preferred point; and the second execution unit is used for carrying out electromagnetic environment detection on the weather radar monitoring preferred point position, and carrying out weather monitoring according to the weather radar monitoring preferred point position when the electromagnetic environment detection result meets the preset requirement.
In a third aspect of the present application, there is provided a computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, implements the steps of the method of the first aspect.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the technical scheme provided by the application is that basic information of a weather radar station is collected, wherein the basic information comprises radar station geographic coordinate information, radar distribution information and the like; matching regional electromagnetic environment information according to the geographic coordinate information of the radar station; further carrying out electromagnetic environment intelligent analysis on any radar monitoring point by using regional electromagnetic environment information to obtain corresponding electromagnetic environment influence degree; furthermore, the method is iterated for a plurality of times to obtain better point positions, electromagnetic environment detection is carried out on the corresponding point positions, and when the electromagnetic environment detection result meets the preset requirement, weather monitoring is carried out according to the weather radar monitoring preferred point positions. Optimizing different points according to regional electromagnetic environment information intelligent analysis, determining a preferred point and then carrying out electromagnetic environment detection, wherein the intelligent analysis process refers to big data, so that accidental errors of direct point detection are eliminated; the method and the device detect the optimized point position after optimizing, improve electromagnetic environment monitoring efficiency and achieve the technical effect of improving detection efficiency of the radar weather station.
Drawings
FIG. 1 is a schematic flow chart of an electromagnetic environment monitoring method applied to a weather radar station;
FIG. 2 is a schematic diagram of an electromagnetic environment analysis flow chart in an electromagnetic environment monitoring method applied to a weather radar station;
fig. 3 is a schematic flow chart of electromagnetic environment detection according to a radar monitoring preferred point in an electromagnetic environment monitoring method applied to a weather radar station;
fig. 4 is a schematic structural diagram of an electromagnetic environment monitoring system applied to a weather radar station.
Fig. 5 is a schematic structural diagram of an exemplary computer device according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a first information acquisition unit 101, a second information acquisition unit 102, a first information matching unit 103, an electromagnetic environment analysis unit 104, a first judging unit 105, a second judging unit 106, a first execution unit 108, a computer device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304 if the first execution condition is satisfied 107.
Detailed Description
The embodiment of the application provides the electromagnetic environment monitoring method and the electromagnetic environment monitoring system for the weather radar station, which are used for directly detecting the electromagnetic environment of the weather radar station by using the detection instrument in the prior art, and have the technical problems of lack of technical means capable of rapidly analyzing the electromagnetic environment and improving the detection efficiency of the weather radar station due to low efficiency. Optimizing different points according to regional electromagnetic environment information intelligent analysis, determining a preferred point and then carrying out electromagnetic environment detection, wherein the intelligent analysis process refers to big data, so that accidental errors of direct point detection are eliminated; the method and the device detect the optimized point position after optimizing, improve electromagnetic environment monitoring efficiency and achieve the technical effect of improving detection efficiency of the radar weather station.
Example 1
As shown in fig. 1, an embodiment of the present application provides an electromagnetic environment monitoring method applied to a weather radar station, including the steps of:
s10: acquiring basic information of a weather radar station, wherein the basic information of the weather radar station comprises geographic coordinate information of the radar station and radar distribution information;
detailed description: the weather radar station is a station for monitoring weather information, is widely applied due to high sensitivity and accuracy of the radar, but gradually faces dilemma in use of the weather radar station along with the increasing complexity of electromagnetic environment, and is preferably arranged in a position far away from each device in the field in order to reduce the influence of various devices on radar detection range and accuracy.
The basic information of the weather radar station refers to an uploaded data set which can be used for analyzing the electromagnetic environment of any monitoring point position of the weather radar station, and preferably at least comprises: radar station geographic coordinate information and radar distribution information.
Further, the radar station geographic coordinate information includes at least: radar station global longitude, latitude, altitude coordinate information; longitude, latitude and altitude coordinate information of each meteorological monitoring point in the radar station; longitude and latitude coordinate information of each radar in the radar station. Radar distribution information refers to a data set comprising individual radar distribution characteristics within a radar station, such as, for example: distance characteristics of each radar and model characteristics of each radar.
By determining basic information of the weather radar station, a foundation can be laid for later acquisition of data affecting an electromagnetic environment, wherein geographic coordinate information of the radar station can be used for determining external influence of surrounding environment on the electromagnetic environment, and radar distribution information can be used for analyzing electromagnetic environment influence caused by mutual interference of radars.
S20: matching regional electromagnetic environment information according to the geographic coordinate information of the radar station, wherein the regional electromagnetic environment information comprises preset instrument distribution information, electric power facility distribution information and traffic facility distribution information;
detailed description: regional electromagnetic environment information refers to environment characteristics which can influence the radar station around the radar station, and preferably, the screening radius is determined by staff according to the debilitation analysis of the electromagnetic environment influence, and can be set in a self-defining mode according to different scenes.
Further, the regional electromagnetic environment information at least includes preset instrument distribution information, electric power facility distribution information and traffic facility distribution information. The preset instrument distribution information refers to distribution position information of class instruments in a defined range with radar station geographic coordinate information as a circle center and screening radius length as a radius, the class instruments are set to be instrument classes which can influence electromagnetic environment, and the class instruments are set by user definition by staff, for example, as follows: a mobile phone network related instrument, a television signal related instrument and the like; the electric power facility distribution information refers to distribution position information of electric power facilities within a delimited range, such as electric wire distribution information, distribution information of electric power facilities of a power plant, and the like; traffic facility distribution information refers to distribution location information of traffic facilities within a delimited area, such as, for example: railway related facility distribution information, aircraft related facility distribution information, and the like. Based on the geographic coordinate information of the radar station, an information set with influence on the electromagnetic environment is acquired, and a data basis is provided for realizing accurate analysis of the determined point location electromagnetic environment.
S30: acquiring a kth radar monitoring point according to the geographic coordinate information of the radar station;
s40: according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, moving from a kth-1 radar monitoring point to the kth radar monitoring point to perform electromagnetic environment analysis, and obtaining the influence degree of the electromagnetic environment of the kth point;
detailed description: the kth radar monitoring point location refers to any monitoring point location in the weather radar station. The influence degree of the electromagnetic environment of the kth point location refers to the influence degree of the electromagnetic environment of the determined kth radar monitoring point location, which is determined by performing intelligent analysis on the electromagnetic environment according to preset instrument distribution information, electric power facility distribution information, traffic facility distribution information and radar distribution information, and the corresponding position is more unfavorable for monitoring meteorological information as the influence degree is larger. The influence degree of the electromagnetic environment of the kth radar monitoring point is analyzed, and then compared with the analysis results of other point positions, the optimal value is screened out, so that the work of direct monitoring can be reduced, the efficiency is improved, and the cost is reduced.
Further, as shown in fig. 2, the step S40 includes the steps of:
s41: according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, electromagnetic environment prediction is carried out based on the kth radar monitoring point position, and a kth electromagnetic environment prediction result is obtained;
s42: constructing an electromagnetic influence analysis model;
s43: and inputting the k electromagnetic environment prediction result into the electromagnetic influence degree analysis model to generate the k point electromagnetic environment influence degree.
Detailed description: the kth electromagnetic environment prediction result refers to electromagnetic environment detection data of a kth radar monitoring point with the strongest matching correlation based on data frequency analysis based on big data according to preset instrument distribution information, electric power facility distribution information, traffic facility distribution information and radar distribution information. Further, the kth electromagnetic environment prediction result is input into an electromagnetic influence degree analysis model trained based on the BP neural network model, and the influence degree of the kth point electromagnetic environment is determined.
Further, the step S41 includes the steps of:
s411: according to the kth radar monitoring point, constructing kth point impact factor distribution information based on the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information;
s412: taking the k point location influence factor distribution information as a constraint condition, and collecting electromagnetic environment parameter record data;
s413: traversing any group of electromagnetic environment parameter record data to obtain electromagnetic environment parameter support, wherein the electromagnetic environment parameter record data of any group represents one-time history monitoring record;
s414: and carrying out maximum value screening on the electromagnetic environment parameter record data according to the electromagnetic environment parameter support degree, and setting the electromagnetic environment parameter record data as the kth electromagnetic environment prediction result.
Detailed description: the kth point location influence factor distribution information refers to constraint conditions of data mining for setting preset instrument distribution information, electric power facility distribution information, traffic facility distribution information and radar distribution information to simultaneously satisfy the relationship and performing identification determination on the kth radar monitoring point location. And taking the k-th point location influence factor distribution information as a constraint condition, collecting electromagnetic environment historic site detection record data corresponding to the constraint condition or electromagnetic environment data calibrated by an expert according to the constraint condition, and recording the electromagnetic environment historic site detection record data as electromagnetic environment parameter record data, wherein the electromagnetic environment parameter record data comprises a plurality of pieces, one set is any day, and one set corresponds to one detection result.
Because the constraint conditions are the same, the recorded data can be similar or even the same, so that the occurrence frequency of each piece of electromagnetic environment parameter recorded data is counted, and the occurrence frequency is recorded as the electromagnetic environment parameter support degree, wherein the support degree=the occurrence frequency; and performing maximum value screening on the electromagnetic environment parameter record data according to the electromagnetic environment parameter support degree, and setting the electromagnetic environment parameter record data as a kth electromagnetic environment prediction result.
And the k electromagnetic environment prediction result with strong relevance is determined based on the big data for frequent analysis, so that the objectivity and accuracy of the electromagnetic environment prediction result are ensured, and an important premise is provided for optimizing monitoring points in the later step.
Further, the step S42 of constructing an electromagnetic influence analysis model includes the steps of:
s421: constructing a frequency band influence analysis model, a dead zone influence analysis model and a clutter influence analysis model;
s422: setting a first merging weight for the frequency band influence degree analysis model, setting a second merging weight for the blind area influence degree analysis model, and setting a third merging weight for the clutter influence degree analysis model;
s423: and combining the frequency band influence degree analysis model, the dead zone influence degree analysis model and the clutter influence degree analysis model according to the first combining weight, the second combining weight and the third combining weight to generate the electromagnetic influence degree analysis model.
Detailed description: the influence of electromagnetic environment is mainly divided into: the first is the frequency band influence, namely the problem of different same frequency and adjacent frequency interference seriously erodes the available frequency spectrum resources of the radar, and preferably, the occupied quantity of the available frequency spectrum is used as the quantized data of the influence degree of the frequency band. Secondly, the radar bottom noise lifting effect is that signal detection is directly affected, weak signals of a target are submerged, the blind area is increased, and preferably, the size of the blind area is used as quantized data of the radar bottom noise lifting effect. Thirdly, the number of radar clutter points is increased to enable target signals to be submerged in the clutter, preferably, the clutter quantity and the clutter density are used as quantized data of the clutter influence, different weights can be respectively given to the clutter quantity and the clutter density, and final clutter influence parameters are obtained through addition.
Acquiring electromagnetic environment record data related to a frequency band, calibrating according to the occupied quantity of available frequency spectrums to obtain frequency band influence degree identification data, and training a frequency band influence degree analysis model based on a BP neural network model; collecting electromagnetic environment record data related to radar background noise lifting, calibrating influence according to the size of a blind area, determining the influence of the blind area, and training a blind area influence analysis model based on a BP neural network model; and acquiring electromagnetic environment record data related to clutter influence, calibrating influence degree according to the clutter quantity and the clutter density, determining clutter influence degree, and training a clutter influence degree analysis model based on the BP neural network model.
Further, a first combining weight is set for the frequency band influence degree analysis model, a second combining weight is set for the dead zone influence degree analysis model, and a third combining weight is set for the clutter influence degree analysis model, namely, when the clutter influence degree analysis model is output, the final influence degree is a weighted average. And combining the segment influence degree analysis model, the dead zone influence degree analysis model and the clutter influence degree analysis model according to the first combining weight, the second combining weight and the third combining weight to generate an electromagnetic influence degree analysis model. The first combining weight, the second combining weight and the third combining weight are basic parameters which can be set by a worker in a customized mode, and the bias degree of the three influence degrees can be different in different scenes. The electromagnetic environment influence degree is rapidly analyzed through the intelligent model, and the technical effect of efficiently completing electromagnetic environment influence degree analysis is achieved.
S50: judging whether the electromagnetic environment influence degree of the kth point is smaller than or equal to the electromagnetic environment influence degree of the kth-1 point;
s60: if the k is smaller than or equal to the counting threshold value, judging whether k meets the counting threshold value or not;
s70: if yes, adding the kth radar monitoring point into a weather radar monitoring preferred point;
detailed description: after the electromagnetic environment influence degree of the kth point is analyzed, the electromagnetic environment influence degree of the kth-1 point which is analyzed by the same electromagnetic environment is obtained; judging whether the electromagnetic environment influence degree of the kth point is smaller than or equal to the electromagnetic environment influence degree of the kth-1 point; if the number of the points is less than or equal to the threshold, judging whether k meets the counting threshold, wherein the counting threshold refers to the highest number of set point optimizing iterations, the number of the points can be set according to the number of the points, all the points can be traversed, and when the number of the points is greater than or equal to the counting threshold, the number of the points is considered to be met. If yes, adding the kth radar monitoring point into the weather radar monitoring preferred point. By combining intelligent analysis of electromagnetic environment and a point location optimizing algorithm, the automatic determination of the optimal monitoring point location is realized, more electromagnetic environment detection processes are omitted, and the electromagnetic environment detection efficiency is improved.
S80: and detecting the electromagnetic environment of the weather radar monitoring preferential point, and when the electromagnetic environment detection result meets the preset requirement, performing weather monitoring according to the weather radar monitoring preferential point.
Further, as shown in fig. 3, the step S81 of performing electromagnetic environment detection on the preferred point location for weather radar monitoring, and performing weather monitoring according to the preferred point location for weather radar monitoring when the electromagnetic environment detection result meets the preset requirement, includes the steps of:
s81: performing electromagnetic environment detection on the weather radar monitoring preferred point location to obtain an electromagnetic environment detection result;
s82: judging whether the deviation between the electromagnetic environment detection result and the kth electromagnetic environment prediction result is smaller than or equal to a set deviation interval;
s83: if the weather monitoring value is smaller than or equal to the weather monitoring value, weather monitoring is carried out according to the weather radar monitoring preferred point;
s84: if the detection result is larger than the preset requirement, updating the weather radar monitoring preferred point to detect the electromagnetic environment, and when the detection result of the electromagnetic environment meets the preset requirement, performing weather monitoring according to the weather radar monitoring preferred point.
Specifically, electromagnetic environment detection is carried out on the weather radar monitoring preferred point position, and when the electromagnetic environment detection result meets the preset requirement, weather monitoring is carried out according to the weather radar monitoring preferred point position. The preset requirements refer to: detecting electromagnetic environment of a weather radar monitoring preferred point position to obtain an electromagnetic environment detection result; judging whether the deviation between the electromagnetic environment detection result and the kth electromagnetic environment prediction result is smaller than or equal to a set deviation interval, wherein the set deviation interval is the maximum allowable error set by a worker; and if the weather monitoring parameters are smaller than or equal to the weather monitoring parameters, weather monitoring is carried out according to the weather radar monitoring preferred point.
Otherwise, if the detection result is larger than the preset requirement, extracting a point from the weather radar monitoring preferable point to detect the electromagnetic environment, and when the detection result of the electromagnetic environment meets the preset requirement, performing weather monitoring according to the weather radar monitoring preferable point. The weather radar monitoring optimal point position determined by intelligent analysis greatly improves the weather radar monitoring efficiency, reduces the electromagnetic environment detection cost and improves the electromagnetic environment detection efficiency.
Further, the method further comprises a step S90, and the step S90 further comprises the steps of:
s91: when the electromagnetic environment influence degree of the kth point is larger than that of the kth-1 point, judging whether k meets the counting threshold;
s92: and if so, adding the k-1 radar monitoring point into the weather radar monitoring preferred point.
Specifically, when the electromagnetic environment influence degree of the kth point is larger than that of the kth-1 point, judging whether k meets the counting threshold. If yes, adding the k-1 radar monitoring point into a weather radar monitoring preferred point; if not, continuing iteration until the iteration is stopped when the iteration is satisfied.
Still further, step S90 further includes the steps of:
s93: when k does not meet the counting threshold value, acquiring a k+1st radar monitoring point position;
s94: according to preset instrument distribution information, electric power facility distribution information, traffic facility distribution information and radar distribution information, moving from the kth radar monitoring point to the kth+1radar monitoring point to perform electromagnetic environment analysis, and obtaining the electromagnetic environment influence degree of the kth+1th point;
s95: and optimizing the monitoring point according to the electromagnetic environment influence degree of the k+1th point.
Specifically, when k does not meet the counting threshold value, acquiring a k+1st radar monitoring point position; according to preset instrument distribution information, electric power facility distribution information, traffic facility distribution information and radar distribution information, moving from a kth radar monitoring point to a kth+1radar monitoring point to perform electromagnetic environment analysis, and obtaining the electromagnetic environment influence degree of the kth+1point; and (3) optimizing the monitoring point according to the electromagnetic environment influence degree of the k+1th point, wherein the analysis mode is identical to that of the k point.
In summary, the embodiments of the present application have at least the following technical effects:
the embodiment of the application provides the electromagnetic environment monitoring method and the electromagnetic environment monitoring system for the weather radar station, which are used for directly detecting the electromagnetic environment of the weather radar station by using the detection instrument in the prior art, and have the technical problems of lack of technical means capable of rapidly analyzing the electromagnetic environment and improving the detection efficiency of the weather radar station due to low efficiency. Optimizing different points according to regional electromagnetic environment information intelligent analysis, determining a preferred point and then carrying out electromagnetic environment detection, wherein the intelligent analysis process refers to big data, so that accidental errors of direct point detection are eliminated; the method and the device detect the optimized point position after optimizing, improve electromagnetic environment monitoring efficiency and achieve the technical effect of improving detection efficiency of the radar weather station.
Example two
Based on the same inventive concept as one of the foregoing embodiments, as shown in fig. 4, an electromagnetic environment monitoring system applied to a weather radar station is provided, which includes:
a first information acquisition unit 101, configured to acquire weather radar station basic information, where the weather radar station basic information includes radar station geographic coordinate information and radar distribution information;
the second information acquisition unit 102 is configured to match regional electromagnetic environment information according to the geographic coordinate information of the radar station, where the regional electromagnetic environment information includes preset instrument distribution information, electric power facility distribution information, and traffic facility distribution information;
a first information matching unit 103, configured to obtain a kth radar monitoring point location according to the radar station geographic coordinate information;
the electromagnetic environment analysis unit 104 is configured to move from a kth-1 radar monitoring point location to the kth radar monitoring point location to perform electromagnetic environment analysis according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, and obtain a kth point location electromagnetic environment influence degree;
a first determining unit 105, configured to determine whether the electromagnetic environment influence of the kth point is less than or equal to the electromagnetic environment influence of the kth-1 point;
a second judging unit 106, configured to judge whether k satisfies the count threshold if the k is smaller than or equal to the count threshold;
if the first execution meets 107, adding the kth radar monitoring point into a weather radar monitoring preferred point;
and the second execution unit 108 is configured to perform electromagnetic environment detection on the preferred point location for weather radar monitoring, and perform weather monitoring according to the preferred point location for weather radar monitoring when the electromagnetic environment detection result meets a preset requirement.
Further, the device also comprises a third execution unit, and the third execution unit executes the steps of:
when the electromagnetic environment influence degree of the kth point is larger than that of the kth-1 point, judging whether k meets the counting threshold;
and if so, adding the k-1 radar monitoring point into the weather radar monitoring preferred point.
Still further, the system further comprises a fourth execution unit, and the third execution unit executes the steps of:
when k does not meet the counting threshold value, acquiring a k+1st radar monitoring point position;
according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, moving from the kth radar monitoring point to the kth+1radar monitoring point to perform electromagnetic environment analysis, and obtaining the electromagnetic environment influence degree of the kth+1th point;
and optimizing the monitoring point according to the electromagnetic environment influence degree of the k+1th point.
Further, the electromagnetic environment analysis unit 104 performs the steps of:
according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, electromagnetic environment prediction is carried out based on the kth radar monitoring point position, and a kth electromagnetic environment prediction result is obtained;
constructing an electromagnetic influence analysis model;
and inputting the k electromagnetic environment prediction result into the electromagnetic influence degree analysis model to generate the k point electromagnetic environment influence degree.
Further, the electromagnetic environment analysis unit 104 performs the steps of:
according to the kth radar monitoring point, constructing kth point impact factor distribution information based on the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information;
taking the k point location influence factor distribution information as a constraint condition, and collecting electromagnetic environment parameter record data;
traversing any group of electromagnetic environment parameter record data to obtain electromagnetic environment parameter support, wherein the electromagnetic environment parameter record data of any group represents one-time history monitoring record;
and carrying out maximum value screening on the electromagnetic environment parameter record data according to the electromagnetic environment parameter support degree, and setting the electromagnetic environment parameter record data as the kth electromagnetic environment prediction result.
Further, the electromagnetic environment analysis unit 104 performs the steps of:
constructing a frequency band influence analysis model, a dead zone influence analysis model and a clutter influence analysis model;
setting a first merging weight for the frequency band influence degree analysis model, setting a second merging weight for the blind area influence degree analysis model, and setting a third merging weight for the clutter influence degree analysis model;
and combining the frequency band influence degree analysis model, the dead zone influence degree analysis model and the clutter influence degree analysis model according to the first combining weight, the second combining weight and the third combining weight to generate the electromagnetic influence degree analysis model.
Further, the second execution unit 108 executes steps including:
performing electromagnetic environment detection on the weather radar monitoring preferred point location to obtain an electromagnetic environment detection result;
judging whether the deviation between the electromagnetic environment detection result and the kth electromagnetic environment prediction result is smaller than or equal to a set deviation interval;
if the weather monitoring value is smaller than or equal to the weather monitoring value, weather monitoring is carried out according to the weather radar monitoring preferred point;
if the detection result is larger than the detection threshold value, updating the weather radar monitoring preferred point to detect the electromagnetic environment, and when the detection threshold value is larger than the detection threshold value
And when the electromagnetic environment detection result meets the preset requirement, weather monitoring is carried out according to the weather radar monitoring preferred point position.
Example III
As shown in fig. 5, based on the same inventive concept as one of the foregoing embodiments applied to an electromagnetic environment monitoring method of a weather radar station, the present application further provides a computer device 300, where the computer device 300 includes a memory 301 and a processor 302, and a computer program is stored in the memory 301, where the computer program is executed by the processor 302 to implement steps of one method of the embodiments.
The computer device 300 includes: a processor 302, a communication interface 303, a memory 301. Optionally, the computer device 300 may also include a bus architecture 304. Wherein the communication interface 303, the processor 302 and the memory 301 may be interconnected by a bus architecture 304; the bus architecture 304 may be a peripheral component interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry Standard architecture, EISA) bus, among others. The bus architecture 304 may be divided into address buses, data buses, control buses, and the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
The communication interface 303 uses any transceiver-like means for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), wired access network, etc.
The memory 301 may be, but is not limited to, ROM or other type of static storage device, RAM or other type of dynamic storage device, which may store static information and instructions, or may be an electrically erasable programmable read-only memory (electrically erasable Programmable read only memory, EEPROM), a compact disk read-only memory (compact discread only memory, CD ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through bus architecture 304. The memory may also be integrated with the processor.
The memory 301 is used for storing computer-executable instructions for executing the embodiments of the present application, and is controlled by the processor 302 to execute the instructions. The processor 302 is configured to execute computer-executable instructions stored in the memory 301, thereby implementing an electromagnetic environment monitoring method applied to a weather radar station according to the above embodiment of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (5)
1. An electromagnetic environment monitoring method applied to a weather radar station, comprising:
acquiring basic information of a weather radar station, wherein the basic information of the weather radar station comprises geographic coordinate information of the radar station and radar distribution information;
matching regional electromagnetic environment information according to the geographic coordinate information of the radar station, wherein the regional electromagnetic environment information comprises preset instrument distribution information, electric power facility distribution information and traffic facility distribution information;
acquiring a kth radar monitoring point according to the geographic coordinate information of the radar station;
according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, moving from a kth-1 radar monitoring point to the kth radar monitoring point to perform electromagnetic environment analysis, and obtaining the influence degree of the electromagnetic environment of the kth point, wherein the influence degree of the electromagnetic environment of the kth point is determined by performing electromagnetic environment intelligent analysis according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information;
judging whether the electromagnetic environment influence degree of the kth point is smaller than or equal to the electromagnetic environment influence degree of the kth-1 point;
if the number of the points is smaller than or equal to the number of the points, judging whether K meets a counting threshold, wherein the counting threshold refers to the highest number of set point optimizing iterations, the counting threshold is set according to the number of the points, all points are traversed, and when the number of the points is larger than or equal to the counting threshold, the K is considered to meet the counting threshold;
if yes, adding the kth radar monitoring point into a weather radar monitoring preferred point;
performing electromagnetic environment detection on the weather radar monitoring preferred point, and performing weather monitoring according to the weather radar monitoring preferred point when the electromagnetic environment detection result meets the preset requirement;
when the electromagnetic environment influence degree of the kth point is larger than that of the kth-1 point, judging whether k meets the counting threshold;
if yes, adding the kth-1 radar monitoring point into the weather radar monitoring preferred point;
when k does not meet the counting threshold value, acquiring a k+1st radar monitoring point position;
according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, moving from the kth radar monitoring point to the kth+1radar monitoring point to perform electromagnetic environment analysis, and obtaining the electromagnetic environment influence degree of the kth+1th point;
optimizing the monitoring point according to the electromagnetic environment influence of the k+1th point;
the method for analyzing the electromagnetic environment of the kth point location according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, moving from the kth-1 radar monitoring point location to the kth radar monitoring point location, and obtaining the influence degree of the electromagnetic environment of the kth point location comprises the following steps:
according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, electromagnetic environment prediction is carried out based on the kth radar monitoring point position, and a kth electromagnetic environment prediction result is obtained;
constructing an electromagnetic influence analysis model, wherein the electromagnetic influence analysis model is a BP neural network model;
inputting the kth electromagnetic environment prediction result into the electromagnetic influence degree analysis model to generate the kth point electromagnetic environment influence degree;
the step of performing electromagnetic environment prediction based on the kth radar monitoring point location according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information to obtain a kth electromagnetic environment prediction result, including:
according to the kth radar monitoring point, constructing kth point impact factor distribution information based on the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information;
taking the k point location influence factor distribution information as a constraint condition, and collecting electromagnetic environment parameter record data;
traversing any group of electromagnetic environment parameter record data to obtain electromagnetic environment parameter support, wherein the electromagnetic environment parameter record data of any group represents one-time history monitoring record;
and carrying out maximum value screening on the electromagnetic environment parameter record data according to the electromagnetic environment parameter support degree, and setting the electromagnetic environment parameter record data as the kth electromagnetic environment prediction result.
2. The method of claim 1, wherein said constructing an electromagnetic influence analysis model comprises:
constructing a frequency band influence analysis model, a dead zone influence analysis model and a clutter influence analysis model;
setting a first merging weight for the frequency band influence degree analysis model, setting a second merging weight for the blind area influence degree analysis model, and setting a third merging weight for the clutter influence degree analysis model;
and combining the frequency band influence degree analysis model, the dead zone influence degree analysis model and the clutter influence degree analysis model according to the first combining weight, the second combining weight and the third combining weight to generate the electromagnetic influence degree analysis model.
3. The method of claim 1, wherein the performing electromagnetic environment detection on the weather radar monitoring preferred point location, when the electromagnetic environment detection result meets a preset requirement, performing weather monitoring according to the weather radar monitoring preferred point location, includes:
performing electromagnetic environment detection on the weather radar monitoring preferred point location to obtain an electromagnetic environment detection result;
judging whether the deviation between the electromagnetic environment detection result and the kth electromagnetic environment prediction result is smaller than or equal to a set deviation interval;
if the weather monitoring value is smaller than or equal to the weather monitoring value, weather monitoring is carried out according to the weather radar monitoring preferred point;
if the detection result is larger than the preset requirement, updating the weather radar monitoring preferred point to detect the electromagnetic environment, and when the detection result of the electromagnetic environment meets the preset requirement, performing weather monitoring according to the weather radar monitoring preferred point.
4. An electromagnetic environment monitoring system for a weather radar station, comprising:
the first information acquisition unit is used for acquiring basic information of a weather radar station, wherein the basic information of the weather radar station comprises geographic coordinate information of the radar station and radar distribution information;
the second information acquisition unit is used for matching regional electromagnetic environment information according to the geographic coordinate information of the radar station, wherein the regional electromagnetic environment information comprises preset instrument distribution information, electric power facility distribution information and traffic facility distribution information;
the first information matching unit is used for acquiring a kth radar monitoring point position according to the geographic coordinate information of the radar station;
the electromagnetic environment analysis unit is used for moving from a kth radar monitoring point to the kth radar monitoring point to perform electromagnetic environment analysis according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, and acquiring the influence degree of the electromagnetic environment of the kth point, wherein the influence degree of the electromagnetic environment of the kth point is determined by performing electromagnetic environment intelligent analysis according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information;
the method for analyzing the electromagnetic environment of the kth point location according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, moving from the kth-1 radar monitoring point location to the kth radar monitoring point location, and obtaining the influence degree of the electromagnetic environment of the kth point location comprises the following steps:
according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, electromagnetic environment prediction is carried out based on the kth radar monitoring point position, and a kth electromagnetic environment prediction result is obtained;
constructing an electromagnetic influence analysis model, wherein the electromagnetic influence analysis model is a BP neural network model;
inputting the kth electromagnetic environment prediction result into the electromagnetic influence degree analysis model to generate the kth point electromagnetic environment influence degree;
the step of performing electromagnetic environment prediction based on the kth radar monitoring point location according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information to obtain a kth electromagnetic environment prediction result, including:
according to the kth radar monitoring point, constructing kth point impact factor distribution information based on the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information;
taking the k point location influence factor distribution information as a constraint condition, and collecting electromagnetic environment parameter record data;
traversing any group of electromagnetic environment parameter record data to obtain electromagnetic environment parameter support, wherein the electromagnetic environment parameter record data of any group represents one-time history monitoring record;
the maximum value screening is carried out on the electromagnetic environment parameter record data according to the electromagnetic environment parameter support degree, and the electromagnetic environment parameter record data is set as the kth electromagnetic environment prediction result;
the first judging unit is used for judging whether the electromagnetic environment influence degree of the kth point is smaller than or equal to the electromagnetic environment influence degree of the kth-1 point;
the second judging unit is used for judging whether K meets a counting threshold value or not if the K is smaller than or equal to the counting threshold value, wherein the counting threshold value refers to the highest number of set point optimizing iterations, the counting threshold value is set according to the number of the point positions, all the points are traversed, and when the K is larger than or equal to the counting threshold value, the K is considered to meet the counting threshold value;
the first execution unit is used for adding the kth radar monitoring point into a weather radar monitoring preferred point if the kth radar monitoring point is met;
the second execution unit is used for carrying out electromagnetic environment detection on the weather radar monitoring preferred point position, and when the electromagnetic environment detection result meets the preset requirement, weather monitoring is carried out according to the weather radar monitoring preferred point position;
the third execution unit is used for judging whether k meets the counting threshold value or not when the electromagnetic environment influence degree of the k point is larger than the electromagnetic environment influence degree of the k-1 point; if yes, adding the kth-1 radar monitoring point into the weather radar monitoring preferred point;
the fourth execution unit is used for acquiring a k+1th radar monitoring point position when k does not meet the counting threshold value; according to the preset instrument distribution information, the electric power facility distribution information, the traffic facility distribution information and the radar distribution information, moving from the kth radar monitoring point to the kth+1radar monitoring point to perform electromagnetic environment analysis, and obtaining the electromagnetic environment influence degree of the kth+1th point; and optimizing the monitoring point according to the electromagnetic environment influence degree of the k+1th point.
5. A computer device, characterized in that it comprises a memory and a processor, said memory having stored therein a computer program which, when executed by said processor, implements the steps of the method according to any of claims 1-3.
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