Method for Recycling Electromagnetic Interference Energy of Railway Signal Equipment for Energy Conversion

Abstract

The present invention discloses a method for electromagnetic interference energy recovery of railway signal equipment for energy conversion, which relates to the technical field of railway signal equipment. The method includes: identifying and collecting the interference electromagnetic signal sequences of multiple interference sources that cause electromagnetic interference to railway signal equipment; obtaining multiple energy density information and multiple energy density stability information, and calculating to obtain multiple interference intensity information; optimizing the recovery frequency band of the electromagnetic energy recovery device to obtain the optimal recovery frequency band; and controlling the electromagnetic energy recovery device to perform electromagnetic interference energy recovery according to the optimal recovery frequency band. It solves the technical problems in the prior art that it is difficult to effectively separate the recoverable energy from complex interference signals, resulting in inaccurate recovery frequency bands and low efficiency of electromagnetic interference energy recovery of the equipment, realizes the optimal selection of the electromagnetic energy recovery frequency band, and achieves the technical effects of improving the energy recovery efficiency and reducing the impact of electromagnetic interference signals on the equipment.

Description

Technical Field

[0001] The present application relates to the technical field of railway signal equipment, and in particular to a method for recycling electromagnetic interference energy of railway signal equipment for energy conversion. Background Art

[0002] With the rapid development of modern railways, ensuring the accurate transmission of signals and the stable operation of equipment are the keys to realizing the efficient and safe operation of railway transportation. However, due to the existence of external interference sources, railway signal equipment is often subject to electromagnetic interference (EMI) during actual operation, which not only affects the signal transmission but may also have an adverse impact on the overall stability of the railway, and even pose potential safety hazards. Electromagnetic interference is mainly caused by various external electrical equipment, natural phenomena, and the coupling effect between internal railway equipment. The main electromagnetic interference sources in the railway system include train traction systems, communication systems, high-frequency signal systems, etc. These devices generate electromagnetic signals with different frequency bands and intensities during operation, which are electromagnetically coupled with railway signal equipment, thereby affecting the stability and accuracy of the signals. For example, the traction current generated by an electric locomotive during operation will cause strong electromagnetic radiation, which will interfere with nearby signal equipment; natural factors such as lightning will also generate strong pulsed electromagnetic waves, causing an instantaneous impact on signal equipment; the railway system weakens or suppresses the impact of electromagnetic interference by means of designing shielding measures and improving signal processing algorithms, which requires high costs and cannot fundamentally eliminate interference. In the fields of industry, power, etc., certain achievements have been made in the recycling and utilization of electromagnetic interference energy. Electromagnetic energy recycling converts interference energy into available energy, but the recycling of electromagnetic interference energy for railway signal equipment is not yet mature. The electromagnetic interference energy received by railway signal equipment is characterized by instability and dispersed frequency bands. How to effectively separate the recoverable energy from complex interference signals and optimize the working frequency band of the energy recovery equipment to achieve efficient recovery of electromagnetic interference energy is a technical problem that the railway signal system urgently needs to solve.

[0003] In the current related technologies for recycling electromagnetic interference energy of railway signal equipment, there are technical problems that it is difficult to effectively separate the recoverable energy from complex interference signals, resulting in inaccurate frequency bands for the equipment to recycle electromagnetic interference energy and low efficiency. Summary of the Invention

[0004] By providing a method for recycling electromagnetic interference energy of railway signal equipment for energy conversion, the present application solves the technical problems in the prior art that it is difficult to effectively separate the recoverable energy from complex interference signals, resulting in inaccurate frequency bands for the equipment to recycle electromagnetic interference energy and low efficiency, realizes the optimal selection of the electromagnetic energy recovery frequency band, and achieves the technical effects of improving the energy recovery efficiency and reducing the impact of electromagnetic interference signals on the equipment.

[0005] The present application provides a method for recycling electromagnetic interference energy of railway signal equipment for energy conversion, including: through a signal recognition device, recognizing and collecting interference electromagnetic signal sequences of multiple interference sources that cause electromagnetic interference to railway signal equipment, wherein the interference electromagnetic signals of the multiple interference sources include multiple interference signal frequency bands; performing energy density analysis and energy density stability analysis on the multiple interference electromagnetic signal sequences to obtain multiple energy density information and multiple energy density stability information, and calculating to obtain multiple interference intensity information; according to the multiple energy density information, multiple energy density stability information and multiple interference intensity information, optimizing the recycling frequency band of the electromagnetic energy recycling device to obtain the optimal recycling frequency band, wherein the recycling frequency band is optimized by increasing the recycling amount of electromagnetic interference energy and reducing the interference intensity; controlling the electromagnetic energy recycling device to recycle electromagnetic interference energy according to the optimal recycling frequency band.

[0006] In a possible implementation manner, through a signal recognition device, recognizing and collecting interference electromagnetic signal sequences of multiple interference sources that cause electromagnetic interference to railway signal equipment, the following processing is further performed: through the signal recognition device, recognizing multiple interference signal frequency bands of multiple interference sources that cause electromagnetic interference to railway signal equipment; according to the multiple interference signal frequency bands, collecting interference electromagnetic signals of the multiple interference sources at multiple time nodes to obtain multiple interference electromagnetic signal sequences.

[0007] In a possible implementation manner, performing energy density analysis and energy density stability analysis on the multiple interference electromagnetic signal sequences to obtain multiple energy density information and multiple energy density stability information, and calculating to obtain multiple interference intensity information, the following processing is further performed: detecting the energy density of the interference electromagnetic signals in the multiple interference electromagnetic signal sequences to obtain multiple energy density sequences; according to the multiple energy density sequences, performing energy density analysis and energy density stability analysis to obtain multiple energy density information and multiple energy density stability information, and calculating to obtain multiple interference intensity information.

[0008] In a possible implementation manner, according to the multiple energy density sequences, performing energy density analysis and energy density stability analysis to obtain multiple energy density information and multiple energy density stability information, the following processing is further performed: calculating the energy density mean values of the multiple energy density sequences to obtain multiple energy density information; randomly extracting multiple first random energy densities from a first energy density sequence in the multiple energy density sequences, respectively calculating the deviation percentages of the first random energy densities from the first energy density information and calculating the mean value to obtain the first energy density stability information; continuing to calculate to obtain multiple energy density stability information; calculating to obtain multiple interference intensity information according to the multiple energy density information and multiple energy density stability information.

[0009] In a possible implementation, based on the multiple energy density information and multiple energy density stability information, multiple interference intensity information is calculated and obtained, and the following processing is also performed: Subtract the multiple energy density stability information from 1 to obtain multiple interference influence coefficients; Multiply the multiple interference influence coefficients by the energy density information respectively to obtain multiple interference intensity information.

[0010] In a possible implementation, based on the multiple energy density information, multiple energy density stability information, and multiple interference intensity information, the recovery frequency band of the electromagnetic energy recovery device is optimized to obtain an optimal recovery frequency band, and the following processing is also performed: Obtain the recovery frequency band space of the electromagnetic energy recovery device; Randomly select a first recovery frequency band within the recovery frequency band space; Based on the multiple energy density information, multiple energy density stability information, and multiple interference intensity information, process to obtain the first interference energy recovery fitness of the first recovery frequency band; Continue to optimize the recovery frequency band until the optimization converges, and output the recovery frequency band with the maximum interference energy recovery fitness to obtain the optimal recovery frequency band.

[0011] In a possible implementation, based on the multiple energy density information, multiple energy density stability information, and multiple interference intensity information, processing to obtain the first interference energy recovery fitness of the first recovery frequency band, and the following processing is also performed: Allocate multiple energy weights for the multiple interference sources according to the multiple energy density stability information, where the reciprocal of the ratio of each energy density stability information to the sum of the multiple energy density stability information is calculated, and the ratio of each reciprocal to the sum of the multiple reciprocals is calculated as the energy weight; According to the multiple interference signal frequency bands, screen and obtain the M recovered energy density information and M recovered interference intensity information of the M recovered interference sources for the recovered signal electromagnetic energy under the first recovery frequency band, and the N unrecovered energy density information and N unrecovered interference intensity information of the N unrecovered interference sources that have not performed signal electromagnetic energy recovery, where M and N are integers greater than 1, and the sum of M and N is the number of multiple interference sources; Calculate the first interference energy recovery fitness of the first recovery frequency band according to the multiple energy weights, M recovered energy density information, M recovered interference intensity information, N unrecovered energy density information of the N unrecovered interference sources, and N unrecovered interference intensity information.

[0012] In a possible implementation, based on the multiple energy weights, M recovered energy density information, M recovered interference intensity information, N unrecovered energy density information of the N unrecovered interference sources, and N unrecovered interference intensity information, calculate the first interference energy recovery fitness of the first recovery frequency band as follows:

[0013] ;

[0014] Among them, IER is the interference energy recovery fitness, and are the recovery weight and the interference weight, and The sum of and is 1. M and N are the numbers of interference sources of the recovered and unrecovered signal electromagnetic energies in the recovery frequency band respectively, is the energy density information of the interference source of the electromagnetic energy of the i-th recovered signal, is the energy density information of the interference source of the electromagnetic energy of the j-th unrecovered signal, is the interference intensity information of the interference source of the electromagnetic energy of the i-th recovered signal, is the interference intensity information of the interference source of the electromagnetic energy of the j-th unrecovered signal, is the energy weight of the interference source of the electromagnetic energy of the i-th recovered signal, is the energy weight of the interference source of the electromagnetic energy of the j-th unrecovered signal.

[0015] Beneficial effects

[0016] It is intended to identify and collect the interference electromagnetic signal sequences of multiple interference sources causing electromagnetic interference to railway signal equipment through the method for recovering electromagnetic interference energy of railway signal equipment for energy conversion proposed in this application; obtain multiple energy density information and multiple energy density stability information, and calculate and obtain multiple interference intensity information; optimize the recovery frequency band of the electromagnetic energy recovery device to obtain the optimal recovery frequency band; control the electromagnetic energy recovery device to recover electromagnetic interference energy according to the optimal recovery frequency band. It solves the technical problem in the prior art that it is difficult to effectively separate the recoverable energy from complex interference signals, resulting in inaccurate recovery frequency bands and low efficiency of the equipment's electromagnetic interference energy recovery, realizes the optimal selection of the electromagnetic energy recovery frequency band, and achieves the technical effects of improving the energy recovery efficiency and reducing the impact of electromagnetic interference signals on the equipment. Description of the drawings

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of this application. It should be understood that the operations in the front or below do not necessarily need to be executed precisely in sequence. On the contrary, according to the need, various steps can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0018] Figure 1 is a schematic flowchart of the method for recovering electromagnetic interference energy of railway signal equipment for energy conversion provided by the embodiment of this application;

[0019] Figure 2Schematic diagram of the process for obtaining the optimal recovery frequency band in the electromagnetic interference energy recovery method of railway signal equipment for energy conversion provided by the embodiments of the present application. Detailed implementation manners

[0020] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the description. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0022] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first\second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0023] The embodiments of the present application provide an electromagnetic interference energy recovery method for railway signal equipment for energy conversion, as Figure 1 shown, the method includes:

[0024] Step S100, through a signal recognition device, recognize and collect the interference electromagnetic signal sequences of multiple interference sources that cause electromagnetic interference to the railway signal equipment, wherein the interference electromagnetic signals of the multiple interference sources include multiple interference signal frequency bands.

[0025] Preferably, the interfering electromagnetic signal sequence refers to electromagnetic interference signals of different frequency bands generated during the operation of railway signal equipment due to the surrounding environment or the working state of other equipment. The electromagnetic interference sources of main railway signal equipment include electromagnetic interference from the traction system, electromagnetic interference from the communication system, electromagnetic interference from high-voltage power lines, electromagnetic interference from surrounding electronic equipment, and electromagnetic interference from natural factors. These interference sources have different interference signal frequency bands. Specifically, electric locomotives and traction systems in the railway system will generate strong electromagnetic radiation during startup and operation, especially in the low-frequency and medium-frequency ranges, forming interference signals in specific frequency bands. Such interference signals are strong in intensity and fluctuate frequently; wireless communication equipment used in the railway system (such as train wireless communication systems, communication base stations along the railway) will generate electromagnetic signals in high-frequency bands. These high-frequency signals have a wide range of frequency bands and fluctuate with the change of the equipment's transmission power; high-voltage power lines are usually laid along the railway, and the power-frequency electromagnetic field generated during their operation will form low-frequency electromagnetic interference signals; various electronic equipment (such as substations, trackside signal lights, etc.) may exist near the railway line, and their operation will generate interference signals of different frequency bands. These interference signals have diverse frequencies and are relatively scattered, and may appear in low, medium, and high-frequency bands, increasing the complexity of the interference sources; natural phenomena such as lightning will generate strong instantaneous pulse electromagnetic waves, whose frequency bands are widely distributed and may exist from low frequency to high frequency, and the interference intensity is relatively high. The interference signals of different electromagnetic interference sources have multi-band characteristics, that is, their electromagnetic wave frequencies cover different frequency ranges, including low, medium, and high-frequency bands. Through the signal recognition device, the frequency bands of these interference signals can be separated and the specific frequency characteristics of each interference source can be identified, so as to help the subsequent electromagnetic interference energy recovery device determine the optimal recovery frequency band and ensure reducing the interference to signal equipment during the energy recovery process.

[0026] Step S100 further includes step S110 of identifying, through a signal recognition device, the multiple interference signal frequency bands of multiple interference sources that cause electromagnetic interference to railway signal equipment; step S120 of collecting, according to the multiple interference signal frequency bands, the interfering electromagnetic signals of the multiple interference sources at multiple time nodes to obtain multiple interfering electromagnetic signal sequences.

[0027] Preferably, a signal recognition device is used to detect and identify the frequency band ranges of the interference signals emitted by multiple interference sources that cause electromagnetic interference to railway signal equipment. Each interference source (such as a train traction system, a wireless communication system, a substation, etc.) generates electromagnetic signals in different frequency ranges, which interfere with the operation of railway signal equipment. Through the recognition device, the interference frequency bands of these interference sources can be determined. For example, the interference signal of a certain interference source may be concentrated in the intermediate frequency range, while the interference signal of another interference source is in the high frequency range, clarifying the source and frequency characteristics of the interference signal; then the signal recognition device will collect the electromagnetic interference signals of each interference source during the actual operation based on these frequency bands, that is, collect information such as the intensity, waveform, and frequency characteristics of the interference signals at different time nodes within a specific frequency band range. For example, the same frequency band is collected multiple times during multiple time periods in a day (such as peak periods, non-peak periods) or under different operating conditions (such as different seasons or climate conditions), record the fluctuations and change trends of the interference signals, and ensure accurate interference signal data. The data collected each time forms a continuous interference signal record, which is arranged in time to form multiple interference electromagnetic signal sequences, and each interference electromagnetic signal sequence corresponds to the signal behavior of a frequency band or a specific interference source.

[0028] Step S200, perform energy density analysis and energy density stability analysis on multiple interference electromagnetic signal sequences, obtain multiple energy density information and multiple energy density stability information, and calculate and obtain multiple interference intensity information.

[0029] Preferably, perform energy density analysis and energy density stability analysis on the collected multiple interfering electromagnetic signal sequences to obtain the energy characteristics and stability characteristics of each signal frequency band, that is, obtain multiple energy density information and multiple energy density stability information. Specifically, energy density analysis refers to analyzing the energy distribution of different interfering signals. Energy density information refers to the average energy distribution of each interfering signal sequence in different frequency bands, reflecting the strength and frequency distribution characteristics of the interfering signals, and helping to identify in which frequency bands there is higher interfering energy and is suitable as a recovery target. For example, if an interfering signal has a high energy density value in a certain frequency band, it means that strong electromagnetic interference is generated in that frequency band; energy density stability analysis refers to analyzing the energy fluctuation situation (such as the fluctuation amplitude of the energy density) of the electromagnetic interference signal in different frequency bands, reflecting its stability degree. Energy density stability information refers to the fluctuation amplitude of the energy density of each interfering signal. The stability information helps to evaluate the continuity and reliability of the signal, and identify which interfering signals have stable energy density and are suitable for stable energy recovery. For example, if the energy density stability in a certain frequency band is relatively high, it means that the interfering signal continuously exists and has small fluctuations in that frequency band, and is more suitable for energy recovery; while the frequency band with large energy density fluctuations may lead to unstable recovery efficiency; after obtaining the energy density information and stability information, further calculate the interference intensity of each interfering signal. Specifically, the interference intensity information can be expressed as a weighted combination of the energy density information and the energy density stability information, that is, set the weight coefficients of the energy density information and the energy density stability information according to specific application requirements. For example, if the main purpose is to increase the total amount of recovered energy, set the weight coefficient of the energy density information to be greater than the weight coefficient of the energy density stability information, such as 0.7 and 0.3 respectively, and then standardize the energy density information and the energy density stability information to convert the values in different frequency bands to the same range, and calculate the weighted values to obtain multiple interference intensity information for comparing the interference intensities in different frequency bands, and then select the frequency band with larger and stable interference intensity for energy recovery.

[0030] Step S200 further includes step S210 of detecting the energy density of the interfering electromagnetic signals in the multiple interfering electromagnetic signal sequences to obtain multiple energy density sequences; step S220 of performing energy density analysis and energy density stability analysis according to the multiple energy density sequences to obtain multiple energy density information and multiple energy density stability information, and calculating to obtain multiple interference intensity information.

[0031] Preferably, the energy density detection of each interfering electromagnetic signal sequence refers to calculating the energy density of electromagnetic signals in each frequency band, determining the average energy level per unit time by measuring the signal intensity, obtaining multiple energy density values, and arranging these values in chronological order to form an energy density sequence. Each interfering electromagnetic signal sequence will generate a corresponding energy density sequence for analyzing the energy variation of the signal at different time periods or frequencies. Energy density analysis is to perform statistics and feature extraction on the data in each energy density sequence to identify the energy characteristics of interfering signals in each frequency band or time period, including identifying the maximum energy density value in each energy density sequence to determine the highest energy level of the signal; calculating the average value of each energy density sequence to measure the average energy density level in the entire sequence; analyzing the distribution of energy density at each frequency to determine which frequency bands concentrate on generating interference, facilitating the optimization of frequency settings for the recovery device, and obtaining multiple energy density information, that is, the energy distribution characteristics of each frequency band or interference source.

[0032] Preferably, the energy density stability analysis refers to observing the energy density variation of interfering signals at different time periods to evaluate the volatility of signal energy, mainly including calculating the standard deviation or variance of the energy density sequence to quantify the fluctuation amplitude of the signal, indicating whether the signal changes within a small range. A signal with smaller fluctuations indicates higher energy density stability. Observe the trend changes of energy density at different time periods to determine whether there are periodic fluctuations or random interferences to determine signal stability, and obtain multiple energy density stability information, that is, the energy density stability information of each frequency band or time period. Based on the energy density information and stability information, further calculate the interference intensity information to measure the comprehensive impact degree of interfering signals on railway signal equipment. Specifically, the energy density information and stability information are weighted and combined to calculate the interference intensity of each frequency band or time period, indicating the comprehensive interference impact generated by each frequency band on railway signal equipment. The greater the interference intensity, the stronger the interference of the electromagnetic signal in this frequency band on railway signal equipment, providing data support for the frequency band optimization of the electromagnetic energy recovery device.

[0033] Step S220 further includes step S221, calculating the energy density mean of the multiple energy density sequences to obtain multiple energy density information; step S222, randomly extracting multiple first random energy densities from the first energy density sequence within the multiple energy density sequences, respectively calculating the deviation percentage between the first random energy density and the first energy density information and calculating the mean value to obtain the first energy density stability information; step S223, continuing to calculate to obtain multiple energy density stability information; step S224, calculating to obtain multiple interference intensity information according to the multiple energy density information and the multiple energy density stability information.

[0034] Preferably, calculate the mean value of the energy density values in each interference electromagnetic signal sequence to obtain the average energy density of each sequence. The mean value of each energy density sequence is the energy density information of the interference signal, which reflects the average energy level of the electromagnetic signal in a specific frequency band or time period. Randomly extract multiple energy density values from the first energy density sequence among multiple energy density sequences as multiple first random energy density values to evaluate the fluctuation of this sequence. Then, compare each first random energy density value with the mean value of the first energy density information and calculate the deviation percentage, that is, calculate the difference between the first random energy density and the mean value of the first energy density information, and then divide it by the mean value of the first energy density information to obtain multiple deviation percentages and calculate their mean value as the energy density stability information of this sequence, which reflects the fluctuation of this signal at multiple time points. The smaller the deviation percentage, the more stable the energy density, and it is more suitable for energy recovery. According to the energy density information and energy density stability information of each sequence, further calculate its interference intensity information, which is usually a weighted combination of energy density and stability information, and the weight can be adjusted according to actual needs. The greater the interference intensity information, the higher the intensity and better stability of the electromagnetic interference signal in this frequency band or time period, and it is more suitable for energy recovery.

[0035] Step S224 further includes step S2241: subtract 1 from the multiple energy density stability information to obtain multiple interference influence coefficients; step S2242: multiply each of the multiple interference influence coefficients by the energy density information to obtain multiple interference intensity information.

[0036] Preferably, for the stability information (mean value of deviation percentage) of each energy density sequence, calculate the interference influence coefficient by subtracting the stability information from 1. The interference influence coefficient is used to quantify the stability of each interference signal sequence, indicating the consistency or volatility of the energy density of this signal in time. The higher the interference influence coefficient (close to 1), the smaller the energy density fluctuation and better stability in this frequency band, and it is more suitable for energy recovery; the lower the interference influence coefficient (close to 0), the less stable the energy in this frequency band and less suitable for energy recovery. Then multiply the interference influence coefficient of each interference signal by the energy density information to obtain multiple interference intensity information. The greater the interference intensity information, the more stable and higher the density of the interference energy in this frequency band, and it is more suitable for energy recovery. The interference intensity information helps to optimize the electromagnetic energy recovery frequency band and realize the efficient utilization of signal interference and the optimization of energy recovery.

[0037] Step S300: Optimize the recovery frequency band of the electromagnetic energy recovery device according to the multiple energy density information, multiple energy density stability information, and multiple interference intensity information to obtain the optimal recovery frequency band, where the recovery frequency band is optimized by increasing the recovery amount of electromagnetic interference energy and reducing the interference intensity.

[0038] Preferably, among multiple electromagnetic interference signal frequency bands, based on the energy density information, energy density stability information, and interference intensity information, the most suitable frequency band for electromagnetic energy recovery is selected to recover useful electromagnetic interference energy to the greatest extent while minimizing the negative impact of these interference signals on railway signal equipment. Specifically, according to the obtained energy density information, energy density stability information, and interference intensity information, each interference frequency band is screened, excluding frequency bands with low energy density and poor stability, including preferentially selecting frequency bands with higher energy density; among multiple high-energy density frequency bands, further screening out frequency bands with high stability; in combination with the interference intensity information, preferentially selecting frequency bands with moderate interference intensity, as frequency bands with too high intensity may cause greater interference to the normal operation of railway signal equipment and are not suitable for recovery; after obtaining multiple candidate frequency bands through screening, multiple frequency bands are selected for combination according to the capacity and target requirements of the equipment, enabling the electromagnetic energy recovery device to recover energy simultaneously from different frequency bands. For example, some frequency bands have high energy density but average stability, which can be combined with other frequency bands with moderate energy density but high stability to improve the stability of the overall recovery amount. After determining the final combination, different weights can be assigned based on the interference intensity and energy density of each frequency band to determine the frequency bands for priority recovery, ensuring that while the recovery device recovers efficiently, it reduces the interference impact on railway signal equipment. During the actual operation process, the frequency bands and intensity of electromagnetic interference may change with environmental conditions or equipment status. Introduce a dynamic adjustment mechanism to continuously maintain the best recovery effect. The finally determined optimal recovery frequency band combination ensures that the recovery device can efficiently extract electromagnetic energy from it, improve energy utilization efficiency, and reduce the impact of interference on railway signal equipment while enhancing energy recovery.

[0039] As Figure 2 shown, step S300 further includes step S310 of obtaining the recovery frequency band space of the electromagnetic energy recovery device; step S320 of randomly selecting a first recovery frequency band within the recovery frequency band space; step S330 of processing to obtain the first interference energy recovery fitness of the first recovery frequency band according to the multiple energy density information, multiple energy density stability information, and multiple interference intensity information; step S340 of continuing to optimize the recovery frequency band until the optimization converges, and outputting the recovery frequency band with the maximum interference energy recovery fitness to obtain the optimal recovery frequency band.

[0040] Preferably, a recycling frequency band space is defined according to the signal recognition result to ensure that all interference signal frequency bands are covered. The recycling frequency band space is a set of frequency ranges that contains all candidate frequency bands that may be used for electromagnetic energy recycling. A frequency band is randomly selected within the space as a candidate frequency band (referred to as the first recycling frequency band), and based on the energy density information, energy density stability information, and interference intensity information, the interference energy recycling fitness of the first recycling frequency band is calculated to evaluate the energy recycling effect of each recycling frequency band and reflect the effectiveness and stability of the frequency band in electromagnetic energy recycling. The higher the fitness value, the more suitable the frequency band is for energy recycling. In the recycling frequency band space, by iteratively randomly selecting different frequency bands multiple times and calculating their fitness values, the selected frequency bands are gradually optimized. When the optimization result shows no obvious change after several consecutive iterations, it is considered that the optimization process has converged, that is, the optimal solution has been reached, and the frequency band with the highest corresponding fitness is used as the optimal recycling frequency band, which is set as the optimal frequency band of the electromagnetic energy recycling device to ensure the high efficiency and stability of the device's energy recycling and achieve the most efficient electromagnetic energy recycling while reducing the interference impact on railway signal devices.

[0041] Step S330 further includes step S331 of allocating multiple energy weights for the multiple interference sources according to the multiple energy density stability information, where the reciprocal of the ratio of each energy density stability information to the sum of the multiple energy density stability information is calculated, and the ratio of each reciprocal to the sum of the multiple reciprocals is calculated as the energy weight; step S332 of screening and obtaining M recycling energy density information and M recycling interference intensity information of M recycling interference sources that recycle the electromagnetic energy of the signal under the first recycling frequency band, and N non-recycled energy density information and N non-recycled interference intensity information of N non-recycled interference sources that do not perform signal electromagnetic energy recycling, where M and N are integers greater than 1, and the sum of M and N is the number of multiple interference sources; step S333 of calculating the first interference energy recycling fitness of the first recycling frequency band according to the multiple energy weights, M recycling energy density information, M recycling interference intensity information, N non-recycled energy density information of N non-recycled interference sources, and N non-recycled interference intensity information.

[0042] Furthermore, step S333 also includes the calculation formula for the first interference energy recycling fitness:

[0043] ;

[0044] where IER is the interference energy recycling fitness, and are the recycling weight and interference weight, and The sum of is 1, and M and N are the numbers of interference sources that recycle and do not recycle the electromagnetic energy of the signal under the recycling frequency band respectively, is the energy density information of the i-th interference source that recovers electromagnetic energy, is the energy density information of the j-th interference source that does not recover electromagnetic energy, is the interference intensity information of the i-th interference source that recovers electromagnetic energy, is the interference intensity information of the j-th interference source that does not recover electromagnetic energy, is the energy weight of the i-th interference source that recovers electromagnetic energy, is the energy weight of the j-th interference source that does not recover electromagnetic energy.

[0045] Preferably, the energy weight is used to represent the importance of each interference source in the overall interference environment and is calculated by normalizing each energy density stability information. Specifically, the reciprocal of the ratio of each interference source's energy density stability information to the sum of all energy density stability information is calculated. That is, if an interference source has a high energy density stability (small fluctuation), its reciprocal is large, indicating that this source should obtain a higher weight in energy recovery. Then, the ratio of each reciprocal value to the sum of all reciprocal values is calculated, and this ratio is used as the energy weight of each interference source; The M recovered interference sources refer to the interference sources whose electromagnetic energy is being recovered by the electromagnetic energy recovery device on the currently selected first recovery frequency band. The N unrecovered interference sources refer to the interference sources whose electromagnetic energy is not recovered by the electromagnetic energy recovery device under the current frequency band. M and N are integers greater than 1. For example, M is 18 and N is 2, and the sum of M and N is equal to the total number of interference sources.

[0046] Filter and obtain the M recovered energy density information and M recovered interference intensity information of the M recovered interference sources, which respectively represent the energy density situation and interference intensity situation of these M interference sources under the first recovery frequency band and are used to evaluate the energy recovery effect of the current frequency band; Obtain the N unrecovered energy density information and N unrecovered interference intensity information of the N unrecovered interference sources, which represent the energy density and interference intensity of the N interference sources that have not undergone energy recovery under this frequency band and are used to analyze the impact of the interference in the unrecovered part on the overall recovery effect; Finally, calculate the first interference energy recovery fitness of the first recovery frequency band. The calculation formula is as follows: ;

[0047] where, IER is the interference energy recovery fitness, and are the recovery weight and interference weight, and The sum of and is 1. M and N are respectively the numbers of interference sources that recover and do not recover electromagnetic energy under the recovery frequency band, is the energy density information of the i-th interference source that recovers electromagnetic energy, is the energy density information of the j-th interference source of the un-recovered signal electromagnetic energy, is the interference intensity information of the i-th interference source of the recovered signal electromagnetic energy, is the interference intensity information of the j-th interference source of the un-recovered signal electromagnetic energy, is the energy weight of the i-th interference source of the recovered signal electromagnetic energy, is the energy weight of the j-th interference source of the un-recovered signal electromagnetic energy.

[0048] Preferably, for the positive evaluation of the energy and interference intensity of the recovered part (that is, the greater the energy density of the recovered interference source and the greater the interference intensity information), and the negative evaluation of the un-recovered part (the influence of the un-recovered interference source is as small as possible), the higher the recovery fitness of the recovery frequency band. By calculating the fitness of the first recovery frequency band, the effect of electromagnetic energy recovery in this frequency band can be judged, so as to compare the recovery effects of different frequency bands in the entire recovery frequency band space, gradually optimize the frequency band selection, and through multiple random selections and fitness calculations, find the recovery frequency band with the highest fitness, that is, the optimal recovery frequency band, so as to maximize the energy recovery efficiency and minimize the interference to railway signal equipment.

[0049] Step S400, control the electromagnetic energy recovery device to recover electromagnetic interference energy according to the optimal recovery frequency band.

[0050] Preferably, the electromagnetic energy recovery device is controlled to operate in the optimal recovery frequency band, so as to effectively extract energy from the interference signal. Specifically, according to the frequency band optimization result, the determined optimal recovery frequency band is set on the electromagnetic energy recovery device, and the electromagnetic energy recovery device tunes the frequency of the receiving and energy conversion module to the selected frequency band to ensure that energy is extracted only from the frequency band with strong interference signal and high energy density, maximizing the energy recovery efficiency of the device and avoiding wasting resources on other frequency bands. A corresponding filter can be set in the electromagnetic energy recovery device to allow only the signals of the target frequency band to pass through, so as to accurately extract the energy of the target frequency band and improve the recovery effect. Then, according to the interference intensity information of the target frequency band, the power module and load module of the recovery device are controlled to match the actual interference intensity. When the interference intensity is large, the recovery power of the device is increased; when the interference intensity is small, the device power is reduced to adapt to the change of the interference signal. The load parameters of the device are adjusted to maintain the best power matching under different intensities of the interference signal, so as to efficiently convert electromagnetic energy into available electric power and store it or use it directly. After the frequency band setting, filtering and power control are completed, the device enters the actual energy recovery stage, that is, collecting electromagnetic interference signals from the target frequency band and converting them into available energy. For example, the recovered energy is used for the operation of the electromagnetic energy recovery device itself; the recovered energy is stored or directly delivered to the auxiliary equipment of the railway system to reduce the overall energy consumption of the system, etc. Ensure efficient extraction of energy from electromagnetic interference and minimize the impact on railway signal equipment, achieving the technical effects of energy conservation and stable operation.

[0051] The above specific embodiments do not constitute a limitation on the protection scope of this application. Those skilled in the art should understand that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of this application shall be included within the protection scope of this application. In some cases, the actions or steps recorded in this application can be executed in a different order from that in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for recovering electromagnetic interference energy from railway signal equipment for energy conversion, characterized in that: The method comprises: Identify and collect interference electromagnetic signal sequences of multiple interference sources causing electromagnetic interference to railway signal equipment through a signal recognition device, wherein the interference electromagnetic signals of the multiple interference sources include multiple interference signal frequency bands; Perform energy density analysis and energy density stability analysis on multiple interference electromagnetic signal sequences to obtain multiple energy density information and multiple energy density stability information, and calculate and obtain multiple interference intensity information, wherein energy density analysis refers to the analysis of energy distribution of different interference signals, and energy density information refers to the average energy distribution of each interference signal sequence in different frequency bands, reflecting the strength and frequency distribution characteristics of the interference signal; energy density stability analysis refers to the analysis of energy fluctuations of electromagnetic interference signals in different frequency bands to reflect their stability, and energy density stability information refers to the fluctuation amplitude of the energy density of each interference signal; interference intensity information can be expressed as a weighted combination of energy density information and energy density stability information; According to the multiple energy density information, multiple energy density stability information and multiple interference intensity information, the recovery frequency band of the electromagnetic energy recovery device is optimized to obtain the optimal recovery frequency band, wherein the recovery frequency band is optimized by increasing the recovery amount of electromagnetic interference energy and reducing the interference intensity; According to the optimal recovery frequency band, controlling the electromagnetic energy recovery device to recover electromagnetic interference energy; According to the multiple energy density information, multiple energy density stability information and multiple interference intensity information, the recovery frequency band of the electromagnetic energy recovery device is optimized to obtain the optimal recovery frequency band, including: Obtain the recovery frequency band space of the electromagnetic energy recovery device; Randomly selecting a first recovery frequency band in the recovery frequency band space; Processing and acquiring the first interference energy recovery adaptability of the first recovery frequency band according to the multiple energy density information, the multiple energy density stability information and the multiple interference strength information; Continue to optimize the recovery frequency band until the optimization converges, output the recovery frequency band with the maximum interference energy recovery fitness, and obtain the optimal recovery frequency band.

2. The method for recovering electromagnetic interference energy of railway signal equipment for energy conversion according to claim 1, characterized in that: Through signal recognition equipment, the interference electromagnetic signal sequences of multiple interference sources that cause electromagnetic interference to railway signal equipment are identified and collected, including: Identify multiple interference signal frequency bands of multiple interference sources causing electromagnetic interference to railway signal equipment through signal identification equipment; According to the multiple interference signal frequency bands, interference electromagnetic signals of the multiple interference sources at multiple time nodes are collected to obtain multiple interference electromagnetic signal sequences.

3. The method for recovering electromagnetic interference energy of railway signal equipment for energy conversion according to claim 1, characterized in that: Perform energy density analysis and energy density stability analysis on multiple interference electromagnetic signal sequences to obtain multiple energy density information and multiple energy density stability information, and calculate and obtain multiple interference intensity information, including: Performing energy density detection on the interference electromagnetic signals in the multiple interference electromagnetic signal sequences to obtain multiple energy density sequences; According to the multiple energy density sequences, energy density analysis and energy density stability analysis are performed to obtain multiple energy density information and multiple energy density stability information, and multiple interference intensity information are calculated.

4. The method for recovering electromagnetic interference energy of railway signal equipment for energy conversion according to claim 3, characterized in that: According to the multiple energy density sequences, energy density analysis and energy density stability analysis are performed to obtain multiple energy density information and multiple energy density stability information, including: Calculating energy density averages of the multiple energy density sequences to obtain multiple energy density information; Randomly extracting a plurality of first random energy densities from a first energy density sequence within the plurality of energy density sequences, respectively calculating deviation percentages between the first random energy densities and the first energy density information and calculating the average, to obtain first energy density stability information; Continue to calculate and obtain multiple energy density stability information; Based on the multiple energy density information and the multiple energy density stability information, multiple interference intensity information are calculated and obtained.

5. The method for recovering electromagnetic interference energy of railway signal equipment for energy conversion according to claim 4, characterized in that: Calculating and obtaining multiple interference intensity information according to the multiple energy density information and the multiple energy density stability information includes: Subtracting the plurality of energy density stability information from 1 to obtain a plurality of interference influence coefficients; The plurality of interference influence coefficients are respectively used and multiplied by the energy density information to obtain a plurality of interference intensity information.

6. The method for recovering electromagnetic interference energy of railway signal equipment for energy conversion according to claim 1, characterized in that: Processing and acquiring the first interference energy recovery adaptability of the first recovery frequency band according to the multiple energy density information, the multiple energy density stability information and the multiple interference strength information includes: Allocating multiple energy weights of the multiple interference sources according to the multiple energy density stability information, wherein the reciprocal of the ratio of each energy density stability information to the sum of the multiple energy density stability information is calculated, and the ratio of each reciprocal to the sum of the multiple reciprocals is calculated as the energy weight; According to the multiple interference signal frequency bands, screen and obtain M recovered energy density information and M recovered interference intensity information of M recovered interference sources that recover signal electromagnetic energy in the first recovery frequency band, as well as N unrecovered energy density information and N unrecovered interference intensity information of N unrecovered interference sources that do not perform signal electromagnetic energy recovery, where M and N are integers greater than 1, and the sum of M and N is the number of multiple interference sources; The first interference energy recovery adaptability of the first recovery frequency band is calculated based on the multiple energy weights, M recovered energy density information, M recovered interference strength information, N unrecovered energy density information and N unrecovered interference strength information of N unrecovered interference sources.

7. The method for recovering electromagnetic interference energy of railway signal equipment for energy conversion according to claim 6, characterized in that: According to the multiple energy weights, the M recovered energy density information, the M recovered interference strength information, the N unrecovered energy density information and the N unrecovered interference strength information of the N unrecovered interference sources, the first interference energy recovery adaptability of the first recovery frequency band is calculated as follows: ； Among them, IER is the interference energy recovery fitness, and are the recovery weight and interference weight, and The sum of is 1, M and N are the number of interference sources of the electromagnetic energy of the recovered and unrecovered signals in the recovery frequency band, respectively. is the energy density information of the interference source of the i-th recovered signal electromagnetic energy, is the energy density information of the jth interference source of the electromagnetic energy of the unrecovered signal, is the interference intensity information of the interference source of the i-th recovered signal electromagnetic energy, is the interference intensity information of the jth interference source that does not recover the signal electromagnetic energy, is the energy weight of the interference source of the i-th recovered signal electromagnetic energy, is the energy weight of the jth interference source whose signal electromagnetic energy is not recovered.

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