CN112183339A - Electromagnetic environment assessment method and device and server - Google Patents

Electromagnetic environment assessment method and device and server Download PDF

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CN112183339A
CN112183339A CN202011040176.1A CN202011040176A CN112183339A CN 112183339 A CN112183339 A CN 112183339A CN 202011040176 A CN202011040176 A CN 202011040176A CN 112183339 A CN112183339 A CN 112183339A
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field strength
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CN112183339B (en
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赵塔
付彩欣
孙平
刘雪明
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CRRC Changchun Railway Vehicles Co Ltd
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Abstract

The method comprises the steps of determining an electric field strength value, a magnetic field strength value and a signal source type of a signal source according to an analysis result of a target radiation signal after the target radiation signal of the signal source in a target evaluation point is scanned, further obtaining an electric field strength threshold and a magnetic field strength threshold of the signal source, and finally determining an evaluation result of the signal source according to a size relation between the electric field strength value and the electric field strength threshold, a size relation between the magnetic field strength value and the magnetic field strength threshold and the type of the signal source. Compared with the prior art, the method combines the electric field strength value, the magnetic field strength value and the type of the signal source to finally obtain the evaluation result, and evaluates the electromagnetic environment of the rail train operation by integrating various conditions, so that the obtained evaluation result is more accurate and credible, and an effective reference basis can be provided for the design and construction of the railway line.

Description

Electromagnetic environment assessment method and device and server
Technical Field
The invention belongs to the technical field of railway vehicles, and particularly relates to an electromagnetic environment assessment method, an electromagnetic environment assessment device and a server.
Background
In the operating environment of urban rail vehicles, there are various electromagnetic interference sources, such as radar systems, television and radio transmission systems, microwave medical equipment, various electric processing equipment, communication transmission stations, large-scale power generation stations, power transmission and transformation equipment, high-voltage and ultrahigh-voltage power transmission lines, most household appliances and the like, which can generate electromagnetic radiation of various forms, different frequencies and different intensities.
When the urban rail vehicle runs to a road section with an electromagnetic interference source, part of functions of the vehicle may be failed due to the influence of electromagnetic environment, and even the safety of passengers is affected when the vehicle is serious. Therefore, the electromagnetic environment investigation and evaluation are carried out along the track line at the beginning of the track line construction, so that electromagnetic interference sources existing along the track line are avoided as much as possible, and the method is one of important work for the track line construction.
However, the existing method for evaluating the electromagnetic environment of the railway line simply collects the electric field data and the magnetic field data of the electromagnetic interference source along the railway line and feeds the obtained data back to an operator for reference, and the prior art lacks further analysis on the electric field data and the magnetic field data and is difficult to provide an effective reference basis for the design and construction of the railway line.
Disclosure of Invention
In view of the above, an object of the present invention is to provide an electromagnetic environment assessment method, apparatus and server, which analyze an electric field strength value and a magnetic field strength value of a signal source at a target assessment point, determine an assessment result of the signal source in combination with a type of the signal source, and can provide an effective reference for design and construction of a railway line, and the specific scheme is as follows:
in a first aspect, the present invention provides an electromagnetic environment assessment method, including:
scanning the radiation signal of the target evaluation point in a preset frequency range to obtain a target radiation signal of at least one signal source;
analyzing the target radiation signal, and determining the electric field strength value, the magnetic field strength value and the type of the signal source according to an analysis result;
acquiring an electric field intensity threshold and a magnetic field intensity threshold of the signal source;
and determining an evaluation result of the signal source according to the magnitude relation between the electric field strength value and the electric field strength threshold value, the magnitude relation between the magnetic field strength value and the magnetic field strength threshold value and the type of the signal source, wherein the evaluation result represents the influence degree of the radiation signal of the signal source on the normal operation of the rail vehicle.
Optionally, the determining the evaluation result of the signal source according to the magnitude relationship between the electric field strength value and the electric field strength threshold, the magnitude relationship between the magnetic field strength value and the magnetic field strength threshold, and the type of the signal source includes:
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a non-fixed-frequency signal source, determining that the signal source is a class I signal source;
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a fixed-frequency signal source, determining that the signal source is a II-grade signal source;
and if the electric field strength value is smaller than the electric field strength threshold value, or the magnetic field strength value is smaller than the magnetic field strength threshold value, determining that the signal source is a III-grade signal source.
Optionally, the preset frequency range includes a plurality of frequency intervals, and the acquiring the electric field strength threshold and the magnetic field strength threshold of the signal source includes:
respectively determining a frequency interval to which the electric field strength value belongs and a frequency interval to which the magnetic field strength value belongs;
determining an electric field intensity threshold of the electric field intensity value of the signal source according to the frequency interval to which the electric field intensity value belongs;
and determining a magnetic field intensity threshold value of the magnetic field intensity value of the signal source according to the frequency interval to which the magnetic field intensity value belongs.
Optionally, the determining, according to the frequency interval to which the electric field strength value belongs, an electric field strength threshold of the electric field strength value of the signal source includes:
inquiring a first preset mapping relation, and taking an electric field intensity threshold corresponding to a frequency interval to which the electric field intensity value belongs as the electric field intensity threshold of the electric field intensity value of the signal source;
and recording the corresponding relation between the frequency interval and the electric field intensity threshold value by the first preset mapping relation.
Optionally, the determining a magnetic field strength threshold of the magnetic field strength value of the signal source according to the frequency interval to which the magnetic field strength value belongs includes:
inquiring a second preset mapping relation, and taking a magnetic field intensity threshold corresponding to a frequency interval to which the magnetic field intensity value belongs as a magnetic field intensity threshold of the magnetic field intensity value of the signal source;
and recording the corresponding relation between the frequency interval and the magnetic field intensity threshold value by the second preset mapping relation.
Optionally, before the scanning the radiation signal of the target evaluation point within the preset frequency range to obtain the target radiation signal of at least one signal source, the method further includes:
acquiring an evaluation point map, wherein the evaluation point map comprises all evaluation points along a railway line;
and taking any evaluation point in the evaluation point map as a target evaluation point.
Optionally, the electric field strength value includes an alternating current electric field strength value and a direct current electric field strength value.
In a second aspect, the present invention provides an electromagnetic environment assessment apparatus, comprising:
the scanning unit is used for scanning the radiation signals of the target evaluation point within a preset frequency range to obtain target radiation signals of at least one signal source;
the analysis unit is used for analyzing the target radiation signal and determining the electric field strength value and the magnetic field strength value of the signal source and the type of the signal source according to an analysis result;
the first acquisition unit is used for acquiring an electric field intensity threshold value and a magnetic field intensity threshold value of the signal source;
and the evaluation unit is used for determining an evaluation result of the signal source according to the magnitude relation between the electric field strength value and the electric field strength threshold, the magnitude relation between the magnetic field strength value and the magnetic field strength threshold and the type of the signal source, wherein the evaluation result represents the influence degree of the radiation signal of the signal source on the normal operation of the rail vehicle.
Optionally, when determining the evaluation result of the signal source according to the magnitude relationship between the electric field strength value and the electric field strength threshold, the magnitude relationship between the magnetic field strength value and the magnetic field strength threshold, and the type of the signal source, the evaluation unit specifically includes:
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a non-fixed-frequency signal source, determining that the signal source is a class I signal source;
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a fixed-frequency signal source, determining that the signal source is a II-grade signal source;
and if the electric field strength value is smaller than the electric field strength threshold value, or the magnetic field strength value is smaller than the magnetic field strength threshold value, determining that the signal source is a III-grade signal source.
In a third aspect, the present invention provides a server, comprising: a memory and a processor; the memory stores a program adapted to be executed by the processor to implement the electromagnetic environment assessment method according to any one of the first aspect of the present invention.
Based on the above technical solution, the electromagnetic environment assessment method provided by the present invention determines the electric field strength value, the magnetic field strength value, and the type of the signal source according to the analysis result of the target radiation signal after scanning the target radiation signal of the signal source in the target assessment point, further obtains the electric field strength threshold and the magnetic field strength threshold of the signal source, and finally determines the assessment result of the signal source according to the magnitude relationship between the electric field strength value and the electric field strength threshold, the magnitude relationship between the magnetic field strength value and the magnetic field strength threshold, and the type of the signal source.
The method judges the electric field strength value based on the electric field strength threshold value under the condition of obtaining the electric field strength value and the magnetic field strength value of the signal source of the target evaluation point, evaluates the influence of the electric field strength on the train operation, judges the magnetic field strength based on the magnetic field strength threshold value, evaluates the influence of the magnetic field strength on the train operation, and further introducing the type of the signal source, and obtaining the final evaluation result by combining the type of the signal source, compared with the prior art, the method combines the electric field strength value and the magnetic field strength value, and the type of the signal source, finally obtain the evaluation result representing the influence degree of the radiation signal of the signal source on the normal operation of the rail vehicle, and evaluate the electromagnetic environment of the rail train operation by integrating various conditions, so that the obtained evaluation result is more accurate and credible, and an effective reference basis can be provided for the design and construction of the railway line.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method for electromagnetic environment assessment provided by an embodiment of the present invention;
FIG. 2 is a schematic diagram of an evaluation point map provided by an embodiment of the invention;
fig. 3 is a block diagram of an electromagnetic environment evaluation apparatus according to an embodiment of the present invention;
FIG. 4 is a block diagram of another electromagnetic environment assessment apparatus provided in the embodiments of the present invention;
fig. 5 is a block diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of an electromagnetic environment assessment method provided by an embodiment of the present invention, where the method is applicable to an electronic device, and the electronic device may be an electronic device with data processing capability, such as a notebook computer, a smart phone, a PC (personal computer), and the like, and obviously, the electronic device may also be implemented by using a server on a network side in some cases; referring to fig. 1, an electromagnetic environment assessment method provided by an embodiment of the present invention may include:
s100, scanning the radiation signals of the target evaluation point in a preset frequency range to obtain target radiation signals of at least one signal source.
The target evaluation point mentioned in the embodiment of the present invention refers to an evaluation point that needs to be evaluated for an electromagnetic environment along a track line, and it is conceivable that a track line is often very long, and therefore, a plurality of evaluation points are often included along a railway line.
Optionally, since the positions of the evaluation points along the railway line are basically determined in the process of selecting the railway line, such as typical buildings located along the railway line, such as hospitals, schools, radar stations, and the like, the evaluation points existing along the railway line can be definitely known after the railway line is basically determined. Based on the above, an evaluation point map can be constructed in advance, the evaluation point map comprises all evaluation points along the railway line, and after the evaluation point map is obtained, any evaluation point in the evaluation point map can be used as a target evaluation point. Optionally, referring to fig. 2, fig. 2 is a schematic diagram of an evaluation point map provided in an embodiment of the present invention, and as shown in the figure, the evaluation point map marks each evaluation point along a railway line, that is, a hospital, a defense unit, a communication base station, and the like, based on the railway line.
According to relevant industrial regulations, when the electromagnetic environment of the rail train running is evaluated, all radiation signals with the frequency of 0Hz-6GHz are included, so that the preset frequency range mentioned in the embodiment of the invention can be the frequency range of 0Hz-6GHz, of course, a smaller or larger frequency range can be selected according to actual evaluation requirements, and the specific selection of the preset frequency range is not limited in the embodiment of the invention. It should be noted that, for a radiation signal with a frequency of 0Hz, the radiation signal substantially corresponds to a dc signal, and what needs to be evaluated is the influence of the dc electric field and the dc magnetic field on the operation of the rail train.
Based on the above, when performing electromagnetic evaluation on a target evaluation point, it is first required to scan a radiation signal of the target evaluation point within a preset frequency range to obtain a target radiation signal of at least one signal source. It is conceivable that for any target evaluation point, at least one electrical device is often included at the evaluation point, so that, correspondingly, in practical applications, when scanning the radiation signal of the target evaluation point, the target radiation signal of at least one signal source is also obtained. Since the analysis process for each signal source is consistent, the number of signal sources is not explicitly divided in the following content.
It should be further noted that, the scanning process of the radiation signal of the target evaluation point is not limited in the embodiments of the present invention, and may be implemented by referring to the prior art.
And S110, analyzing the target radiation signal, and determining the electric field strength value, the magnetic field strength value and the type of the signal source according to the analysis result.
After the target radiation signal of the signal source is obtained, the target radiation signal needs to be analyzed, and the electric field strength value, the magnetic field strength value and the type of the signal source are determined according to the analysis result.
In the embodiment of the present invention, the types of the signal source generally include two types, i.e., an unsteady frequency signal source and a fixed frequency signal source. The fixed frequency signal source mostly refers to broadcast signals of different frequency bands above a city, the signal curve characteristic is that the single point amplitude is strong, continuous flaky chaotic curve fluctuation cannot occur, and the sound of a broadcast station can be heard after demodulation. There are also fixed frequency signal sources such as military communication or radar signals, but there is no sound after demodulation, and the frequency band can be judged by spectrum management and record. Correspondingly, for non-fixed frequency signal sources, the identification can also be realized through the spectral characteristics of the radiation signals and related record data.
The calculation and determination of the electric field strength value and the magnetic field strength value of the signal source can be realized according to the prior art, and the specific determination process of the electric field strength value and the magnetic field strength value of the signal source is not limited.
Optionally, as can be seen from the above, the electric field strength values in the embodiments of the present invention include a dc electric field strength value and an ac electric field strength value, and correspondingly, the magnetic field strength values include a dc magnetic field strength value and an ac magnetic field strength value.
And S120, acquiring an electric field intensity threshold and a magnetic field intensity threshold of the signal source.
Optionally, in practical application, according to the regulations related to the industry, in the evaluation of the electromagnetic environment of the rail train, the electric field strength threshold and the magnetic field strength threshold corresponding to the radiation signals with different frequencies are different.
Specifically, referring to table 1, table 1 shows electric field strength thresholds corresponding to different frequency intervals.
TABLE 1
Frequency range Electric field intensity El(V/m)
1Hz-8Hz 8000
8Hz-25Hz 8000
0.025KHz-1.2KHz 200/f
1.2KHz-2.9KHz 200/f
2.9KHz-57KHz 70
57KHz-100KHz 4000/f
0.1MHz-3MHz 40
3MHz-30MHz 67/f1/2
30MHz-3000MHz 12
3000MHz-6000MHz 0.22f1/2
It should be noted that the threshold of the electric field strength of the dc electric field may be selected according to actual needs, for example, may be set to 80V/m.
Further, referring to table 2, table 2 shows the magnetic field strength threshold values corresponding to different frequency intervals.
TABLE 2
Figure BDA0002706389480000071
Figure BDA0002706389480000081
Based on the above, it can be seen that the frequency intervals to which the target radiation signals belong are different, and the corresponding thresholds are also different. Therefore, after obtaining the electric field strength value and the magnetic field strength value corresponding to the target radiation signal through the foregoing steps, it is necessary to determine the frequency interval to which the electric field strength value belongs and the frequency interval to which the magnetic field strength value belongs, respectively.
And then, determining an electric field intensity threshold corresponding to the electric field intensity value of the signal source according to the frequency interval to which the electric field intensity value of the target radiation signal belongs. As an optional implementation manner, a first preset mapping relationship may be preset, where the first preset mapping relationship records a corresponding relationship between a frequency interval and an electric field strength threshold, and by querying the first preset mapping relationship, the electric field strength threshold corresponding to the frequency interval to which the electric field strength value obtained in the foregoing step belongs may be directly used as the electric field strength threshold corresponding to the electric field strength value of the signal source.
Correspondingly, the process of determining the magnetic field strength threshold corresponding to the magnetic field strength value of the signal source according to the frequency interval to which the magnetic field strength value of the target radiation signal belongs can be realized by adopting a similar method. And after the magnetic field intensity value of the target radiation signal is obtained, inquiring the second preset mapping relation, and taking the magnetic field intensity threshold value corresponding to the frequency interval to which the magnetic field intensity value belongs as the magnetic field intensity threshold value corresponding to the magnetic field intensity value of the signal source.
It should be noted that, for a specific implementation manner of the first preset mapping relationship and the second preset mapping relationship, the present invention is not limited specifically, for example, the first preset mapping relationship and the second preset mapping relationship may be recorded and embodied by using manners shown in table 1 and table 2, and of course, other representation manners in the prior art may also be used.
It should be further noted that, the specific division of the frequency interval and the threshold values corresponding to different frequency intervals may be selected according to actual application requirements, and need not be limited to the implementation manners given in tables 1 and 2.
S130, determining the evaluation result of the signal source according to the magnitude relation between the electric field strength value and the electric field strength threshold, the magnitude relation between the magnetic field strength value and the magnetic field strength threshold and the type of the signal source.
In the embodiment of the invention, the obtained evaluation result is used for representing the influence degree of the radiation signal of the signal source on the normal operation of the railway vehicle. In order to facilitate the representation of the final conclusion of the evaluation result, the evaluation result is further represented in a manner of adopting an evaluation grade, in the embodiment of the present invention, the evaluation grades of the signal source can be divided into three grades, I, II and III, wherein the influence of the I-grade signal source on the rail train is the most serious, and the influence of the III-grade signal source on the rail train is the least.
Based on the above, if at least one of the conditions that the electric field strength value of the signal source is not less than the corresponding electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is satisfied, and the signal source is a non-fixed-frequency signal source, the signal source is determined to be a level I signal source.
And if at least one of the conditions that the electric field strength value of the signal source is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a fixed-frequency signal source, determining that the signal source is a II-grade signal source.
And if the electric field strength value of the signal source is smaller than the electric field strength threshold value, or the magnetic field strength value of the signal source is smaller than the magnetic field strength threshold value, determining that the signal source is a III-grade signal source.
In conclusion, under the condition of obtaining the electric field strength value and the magnetic field strength value of the signal source of the target evaluation point, judging the electric field intensity value based on the electric field intensity threshold value, evaluating the influence of the electric field intensity on the train operation, judging the magnetic field intensity based on the magnetic field intensity threshold value, evaluating the influence of the magnetic field intensity on the train operation, and further introducing the type of the signal source, and obtaining the final evaluation result by combining the type of the signal source, compared with the prior art, the method combines the electric field strength value and the magnetic field strength value, and the type of the signal source, finally obtain the evaluation result representing the influence degree of the radiation signal of the signal source on the normal operation of the rail vehicle, and evaluate the electromagnetic environment of the rail train operation by integrating various conditions, so that the obtained evaluation result is more accurate and credible, and an effective reference basis can be provided for the design and construction of the railway line.
Optionally, in order to facilitate representation and use of the above evaluation criteria in practical applications, embodiments of the present invention further provide an electromagnetic environment evaluation model, specifically,
ΔE=Em-El
ΔH=Hm-Hl
L1=F
L2=E|H
wherein, Delta E is an electric field intensity evaluation value with the unit of V/m;
Emis the electric field strength value with the unit of V/m;
Elis the threshold value of the electric field intensity, and the unit is V/m;
Δ H is an estimated value of magnetic field intensity, and the unit is A/m;
Hmthe magnetic field strength value is in A/m;
Hlis the magnetic field intensity threshold value with the unit of A/m;
L1and L2Taking 0 or 1 as an environment evaluation factor, and having no dimension;
f is a fixed-frequency radiation source evaluation factor, and is taken as 0 or 1 without dimension;
e is an electric field evaluation factor, and is taken as 0 or 1 without dimension;
h is a magnetic field evaluation factor, and takes 0 or 1 without dimension.
The electromagnetic environment evaluation method provided by the present application is described below with specific evaluation examples based on the above electromagnetic environment evaluation model.
Using the 3 rd evaluation point, namely the defense unit, in the evaluation point map shown in fig. 2 as the target evaluation point, obtaining the electric field strength value and the magnetic field strength value of the target evaluation point within the preset frequency range, and then obtaining the magnetic field strength value according to Δ E and Δ H, L1And L2The evaluation of the electromagnetic environment of the line is carried out according to the following specific evaluation criteria:
when the delta E is larger than or equal to 0, E is equal to 1, and whether a signal source generating the delta E is a fixed-frequency signal source in a target evaluation point is judged at the same time, wherein the fixed-frequency signal sources can comprise signal base stations, power transmission lines, civil or medical equipment used in buildings around the lines, military radio stations or communication frequencies and the like, if the fixed-frequency signal sources belong to, F is equal to 0, and if the fixed-frequency signal sources do not belong to, F is equal to 1; Δ E <0, then E ═ 0.
When the delta H is more than or equal to 0, H is 1; Δ H <0, then H ═ 0;
the test results of the electric field intensity of 3 different signal sources of the target evaluation point in the frequency range of 30MHz-3000MHz are as follows: when the electric field intensity value exceeds the limit value of 12V/m in the range of 1300MHz-1500MHz, namely, the situation that delta E is more than or equal to 0 is met, E is 1, and meanwhile, a corresponding signal source is determined to be a non-fixed frequency broadcast signal source, so that F is 1; signal sources exceeding the limit value of 12V/m respectively appear near 100MHz, 1700MHz and 2400MHz, namely meet the requirement that delta E is more than or equal to 0, at the moment, E is 1, and meanwhile, the corresponding signal source is determined to be a fixed-frequency signal source, so F is 0; in the range of 30MHz-3000MHz, the signal source without the electric field strength value exceeding the limit value of 12V/m appears, namely, the signal source meets the condition that delta E is less than 0, and E is 0. Correspondingly, for the comparison and judgment of the magnetic field strength value and the magnetic field strength threshold value, a similar method is adopted, and the comparison and judgment is completed based on the electromagnetic environment evaluation model, which is not described herein again.
On the basis of the above judgment result, when L is2When the signal source is 1 and F is 1, judging that the evaluation grade of the corresponding signal source is I grade, causing influence on the running of the rail vehicle and the safety of passengers, and reporting to relevant departments to search a radiation source for processing or optimizing a circuit scheme;
when L is2When the signal source is 1 and F is 0, judging that the evaluation level of the corresponding signal source is II, possibly interfering the wireless communication or signal system of the rail vehicle, but avoiding processing by using the same frequency as a fixed-frequency radiation source through the frequency spectrum management of the vehicle, and not reporting to related departments;
when L is2And when the signal source is 0, judging that the evaluation grade of the corresponding signal source is grade III, wherein the signal source in the environment does not influence the operation of the rail vehicle and the safety of passengers, and does not need to be processed.
The electromagnetic environment assessment apparatus described below may be regarded as a functional module architecture that needs to be set in a central device to implement the electromagnetic environment assessment method provided by the embodiment of the present invention; the following description may be cross-referenced with the above.
Fig. 3 is a block diagram of an electromagnetic environment assessment apparatus according to an embodiment of the present invention, and referring to fig. 2, the apparatus may include:
the scanning unit 10 is configured to scan radiation signals of a target evaluation point within a preset frequency range to obtain target radiation signals of at least one signal source;
the analyzing unit 20 is configured to analyze the target radiation signal, and determine an electric field intensity value, a magnetic field intensity value, and a type of the signal source according to an analysis result;
a first obtaining unit 30, configured to obtain an electric field strength threshold and a magnetic field strength threshold of the signal source;
the evaluation unit 40 is configured to determine an evaluation result of the signal source according to a magnitude relationship between the electric field strength value and the electric field strength threshold, a magnitude relationship between the magnetic field strength value and the magnetic field strength threshold, and a type of the signal source, where the evaluation result represents a degree of influence of a radiation signal of the signal source on normal operation of the rail vehicle.
Optionally, when the evaluation result is represented by an evaluation grade, the evaluation unit 40 is configured to determine the evaluation result of the signal source according to a magnitude relationship between the electric field strength value and the electric field strength threshold, a magnitude relationship between the magnetic field strength value and the magnetic field strength threshold, and a type of the signal source, specifically including:
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a non-fixed-frequency signal source, determining that the signal source is a class I signal source;
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a fixed-frequency signal source, determining that the signal source is a II-grade signal source;
and if the electric field strength value is smaller than the electric field strength threshold value, or the magnetic field strength value is smaller than the magnetic field strength threshold value, determining that the signal source is a III-grade signal source.
Optionally, the preset frequency range includes a plurality of frequency intervals, and the first obtaining unit 30 is configured to, when obtaining the electric field strength threshold and the magnetic field strength threshold of the signal source, specifically include:
respectively determining a frequency interval to which the electric field strength value belongs and a frequency interval to which the magnetic field strength value belongs;
determining an electric field intensity threshold of the electric field intensity value of the signal source according to the frequency interval to which the electric field intensity value belongs;
and determining a magnetic field intensity threshold value of the magnetic field intensity value of the signal source according to the frequency interval to which the magnetic field intensity value belongs.
Optionally, the first obtaining unit 30 is configured to, when determining the electric field strength threshold of the electric field strength value of the signal source according to the frequency interval to which the electric field strength value belongs, specifically include:
inquiring a first preset mapping relation, and taking an electric field intensity threshold corresponding to a frequency interval to which the electric field intensity value belongs as the electric field intensity threshold of the electric field intensity value of the signal source;
and recording the corresponding relation between the frequency interval and the electric field intensity threshold value by the first preset mapping relation.
Optionally, the first obtaining unit 30 is configured to, when determining the magnetic field strength threshold of the magnetic field strength value of the signal source according to the frequency interval to which the magnetic field strength value belongs, specifically include:
inquiring a second preset mapping relation, and taking a magnetic field intensity threshold corresponding to a frequency interval to which the magnetic field intensity value belongs as a magnetic field intensity threshold of the magnetic field intensity value of the signal source;
and recording the corresponding relation between the frequency interval and the magnetic field intensity threshold value by the second preset mapping relation.
Optionally, referring to fig. 4, fig. 4 is a block diagram of another electromagnetic environment assessment apparatus provided in the embodiment of the present invention, and on the basis of the embodiment shown in fig. 3, the apparatus further includes:
and the second acquisition unit is used for acquiring an evaluation point map, wherein the evaluation point map comprises all evaluation points along the railway line, and any evaluation point in the evaluation point map is used as a target evaluation point.
Optionally, referring to fig. 5, fig. 5 is a block diagram of a server according to an embodiment of the present invention, and as shown in fig. 5, the server may include: at least one processor 100, at least one communication interface 200, at least one memory 300, and at least one communication bus 400;
in the embodiment of the present invention, the number of the processor 100, the communication interface 200, the memory 300, and the communication bus 400 is at least one, and the processor 100, the communication interface 200, and the memory 300 complete the communication with each other through the communication bus 400; it is clear that the communication connections shown by the processor 100, the communication interface 200, the memory 300 and the communication bus 400 shown in fig. 5 are merely optional;
optionally, the communication interface 200 may be an interface of a communication module, such as an interface adapted to a vehicle-mounted OBD interface or other CAN network interfaces;
the processor 100 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention.
The memory 300, which stores application programs, may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 100 is specifically configured to execute an application program in the memory to implement any embodiment of the electromagnetic environment assessment method described above.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. An electromagnetic environment assessment method, comprising:
scanning the radiation signal of the target evaluation point in a preset frequency range to obtain a target radiation signal of at least one signal source;
analyzing the target radiation signal, and determining the electric field strength value, the magnetic field strength value and the type of the signal source according to an analysis result;
acquiring an electric field intensity threshold and a magnetic field intensity threshold of the signal source;
and determining an evaluation result of the signal source according to the magnitude relation between the electric field strength value and the electric field strength threshold value, the magnitude relation between the magnetic field strength value and the magnetic field strength threshold value and the type of the signal source, wherein the evaluation result represents the influence degree of the radiation signal of the signal source on the normal operation of the rail vehicle.
2. The electromagnetic environment assessment method according to claim 1, wherein said assessment result is expressed in an assessment scale, and said determining the assessment result of said signal source according to the magnitude relation between said electric field strength value and said electric field strength threshold value, the magnitude relation between said magnetic field strength value and said magnetic field strength threshold value, and the type of said signal source comprises:
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a non-fixed-frequency signal source, determining that the signal source is a class I signal source;
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a fixed-frequency signal source, determining that the signal source is a II-grade signal source;
and if the electric field strength value is smaller than the electric field strength threshold value, or the magnetic field strength value is smaller than the magnetic field strength threshold value, determining that the signal source is a III-grade signal source.
3. The electromagnetic environment assessment method of claim 1, wherein said preset frequency range comprises a plurality of frequency intervals, and said obtaining said electric field strength threshold value and said magnetic field strength threshold value of said signal source comprises:
respectively determining a frequency interval to which the electric field strength value belongs and a frequency interval to which the magnetic field strength value belongs;
determining an electric field intensity threshold of the electric field intensity value of the signal source according to the frequency interval to which the electric field intensity value belongs;
and determining a magnetic field intensity threshold value of the magnetic field intensity value of the signal source according to the frequency interval to which the magnetic field intensity value belongs.
4. The method according to claim 3, wherein the determining the threshold of the electric field strength value of the signal source according to the frequency interval to which the electric field strength value belongs comprises:
inquiring a first preset mapping relation, and taking an electric field intensity threshold corresponding to a frequency interval to which the electric field intensity value belongs as the electric field intensity threshold of the electric field intensity value of the signal source;
and recording the corresponding relation between the frequency interval and the electric field intensity threshold value by the first preset mapping relation.
5. The method according to claim 3, wherein the determining a magnetic field strength threshold of the magnetic field strength value of the signal source according to the frequency interval to which the magnetic field strength value belongs comprises:
inquiring a second preset mapping relation, and taking a magnetic field intensity threshold corresponding to a frequency interval to which the magnetic field intensity value belongs as a magnetic field intensity threshold of the magnetic field intensity value of the signal source;
and recording the corresponding relation between the frequency interval and the magnetic field intensity threshold value by the second preset mapping relation.
6. The method according to claim 1, further comprising, before scanning the radiation signal of the target evaluation point in the preset frequency range to obtain the target radiation signal of at least one signal source:
acquiring an evaluation point map, wherein the evaluation point map comprises all evaluation points along a railway line;
and taking any evaluation point in the evaluation point map as a target evaluation point.
7. The electromagnetic environment assessment method of any one of claims 1-6, wherein said electric field strength values comprise alternating current electric field strength values and direct current electric field strength values.
8. An electromagnetic environment assessment apparatus, comprising:
the scanning unit is used for scanning the radiation signals of the target evaluation point within a preset frequency range to obtain target radiation signals of at least one signal source;
the analysis unit is used for analyzing the target radiation signal and determining the electric field strength value and the magnetic field strength value of the signal source and the type of the signal source according to an analysis result;
the first acquisition unit is used for acquiring an electric field intensity threshold value and a magnetic field intensity threshold value of the signal source;
and the evaluation unit is used for determining an evaluation result of the signal source according to the magnitude relation between the electric field strength value and the electric field strength threshold, the magnitude relation between the magnetic field strength value and the magnetic field strength threshold and the type of the signal source, wherein the evaluation result represents the influence degree of the radiation signal of the signal source on the normal operation of the rail vehicle.
9. The electromagnetic environment assessment apparatus according to claim 8, wherein the assessment result is represented by an assessment scale, and the assessment unit is configured to determine the assessment result of the signal source according to the magnitude relationship between the electric field strength value and the electric field strength threshold, the magnitude relationship between the magnetic field strength value and the magnetic field strength threshold, and the type of the signal source, and specifically includes:
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a non-fixed-frequency signal source, determining that the signal source is a class I signal source;
if at least one of the conditions that the electric field strength value is not less than the electric field strength threshold value and the magnetic field strength value is not less than the magnetic field strength threshold value is met, and the signal source is a fixed-frequency signal source, determining that the signal source is a II-grade signal source;
and if the electric field strength value is smaller than the electric field strength threshold value, or the magnetic field strength value is smaller than the magnetic field strength threshold value, determining that the signal source is a III-grade signal source.
10. A server, comprising: a memory and a processor; the memory stores a program adapted to be executed by the processor to implement the electromagnetic environment assessment method of any one of claims 1 to 7.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114019252A (en) * 2021-11-04 2022-02-08 国网江苏省电力有限公司电力科学研究院 Tap switch state evaluation method based on arc electromagnetic radiation signals
WO2022062987A1 (en) * 2020-09-28 2022-03-31 中车长春轨道客车股份有限公司 Electromagnetic environment evaluation method and device, and server
CN114624637A (en) * 2022-04-21 2022-06-14 西南交通大学 Permanent magnet track three-dimensional magnetic field scanning device and scanning method thereof
CN116056034A (en) * 2023-04-03 2023-05-02 鹰驾科技(深圳)有限公司 Vehicle-mounted wireless communication analysis regulation and control system based on in-vehicle environment monitoring

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114646907B (en) * 2021-12-24 2023-10-20 中铁二院工程集团有限责任公司 Rail transit low-frequency magnetic field on-site measurement method based on machine learning
CN114980712B (en) * 2022-04-26 2024-01-19 苏州浪潮智能科技有限公司 Method and device for reducing electromagnetic radiation
CN115243271B (en) * 2022-07-14 2023-09-05 中国联合网络通信集团有限公司 Radiation evaluation method, device and storage medium
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103926494A (en) * 2014-04-30 2014-07-16 国家电网公司 Interference source determining method and device
CN105468922A (en) * 2015-12-09 2016-04-06 中国电子科技集团公司第二十九研究所 Site electromagnetic environment signal real time analysis and threat evaluation method
US20170328719A1 (en) * 2015-01-30 2017-11-16 Mitsubishi Electric Corporation Evaluation information collecting system
CN107741541A (en) * 2017-10-12 2018-02-27 中车株洲电力机车有限公司 A kind of rail traffic vehicles built-in field intensity near-field test method and system
CN108153321A (en) * 2017-11-21 2018-06-12 中国人民解放军陆军工程大学 Method and device for resisting electromagnetic radiation interference of information link of unmanned aerial vehicle

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112183339B (en) * 2020-09-28 2024-02-20 中车长春轨道客车股份有限公司 Electromagnetic environment assessment method, device and server

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103926494A (en) * 2014-04-30 2014-07-16 国家电网公司 Interference source determining method and device
US20170328719A1 (en) * 2015-01-30 2017-11-16 Mitsubishi Electric Corporation Evaluation information collecting system
CN105468922A (en) * 2015-12-09 2016-04-06 中国电子科技集团公司第二十九研究所 Site electromagnetic environment signal real time analysis and threat evaluation method
CN107741541A (en) * 2017-10-12 2018-02-27 中车株洲电力机车有限公司 A kind of rail traffic vehicles built-in field intensity near-field test method and system
CN108153321A (en) * 2017-11-21 2018-06-12 中国人民解放军陆军工程大学 Method and device for resisting electromagnetic radiation interference of information link of unmanned aerial vehicle

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022062987A1 (en) * 2020-09-28 2022-03-31 中车长春轨道客车股份有限公司 Electromagnetic environment evaluation method and device, and server
CN114019252A (en) * 2021-11-04 2022-02-08 国网江苏省电力有限公司电力科学研究院 Tap switch state evaluation method based on arc electromagnetic radiation signals
CN114019252B (en) * 2021-11-04 2024-04-05 国网江苏省电力有限公司电力科学研究院 Tapping switch state evaluation method based on arc electromagnetic radiation signals
CN114624637A (en) * 2022-04-21 2022-06-14 西南交通大学 Permanent magnet track three-dimensional magnetic field scanning device and scanning method thereof
CN116056034A (en) * 2023-04-03 2023-05-02 鹰驾科技(深圳)有限公司 Vehicle-mounted wireless communication analysis regulation and control system based on in-vehicle environment monitoring

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