Railway signal equipment electromagnetic interference energy recovery method for energy conversion

Abstract

The invention discloses a railway signal equipment electromagnetic interference energy recovery method for energy conversion, and relates to the technical field of railway signal equipment, and the method comprises the steps: recognizing and collecting interference electromagnetic signal sequences of a plurality of interference sources causing electromagnetic interference to railway signal equipment; multiple pieces of energy density information and multiple pieces of energy density stability information are obtained, and multiple pieces of interference intensity information are obtained through calculation; optimizing the recovery frequency band of the electromagnetic energy recovery equipment to obtain an optimal recovery frequency band; and according to the optimal recovery frequency band, electromagnetic energy recovery equipment is controlled to carry out electromagnetic interference energy recovery. The technical problems that in the prior art, recoverable energy is difficult to effectively separate from complex interference signals, consequently, the electromagnetic interference energy recovery frequency band of equipment is inaccurate, and the efficiency is low are solved, the optimal selection of the electromagnetic energy recovery frequency band is achieved, and the electromagnetic energy recovery efficiency is improved. The technical effects of improving the energy recovery efficiency and reducing the influence of electromagnetic interference signals on equipment are achieved.

Description

Technical Field

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

[0002] With the rapid development of modern railways, ensuring accurate signal transmission and stable operation of equipment is the key to achieving 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 signal transmission, but also may have an adverse effect on the overall stability of the railway, and even cause potential safety hazards. Electromagnetic interference is mainly caused by coupling effects between various external electrical equipment, natural phenomena and internal railway equipment. The electromagnetic interference sources in the railway system mainly include train traction systems, communication systems, high-frequency signal systems, etc. These devices will generate electromagnetic signals of different frequency bands and intensities during operation, and electromagnetically couple with railway signal equipment, thereby affecting the stability and accuracy of the signal. For example, the traction current generated by electric locomotives during operation will cause strong electromagnetic radiation, which will interfere with nearby signal equipment; natural factors such as lightning will also generate strong pulse electromagnetic waves, causing instantaneous impact on signal equipment; the railway system weakens or suppresses the impact of electromagnetic interference by designing shielding measures and improving signal processing algorithms, which requires high costs and cannot fundamentally eliminate interference. In the fields of industry, electricity, etc., the recovery and utilization of electromagnetic interference energy has achieved certain results. Electromagnetic energy recovery converts interference energy into usable energy. However, the electromagnetic interference energy recovery for railway signal equipment is still immature. The electromagnetic interference energy to railway signal equipment is unstable and has a dispersed frequency band. How to effectively separate the recoverable energy from the complex interference signal 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 needs to solve urgently.

[0003] At present, there is a technical problem in the technology related to electromagnetic interference energy recovery of railway signal equipment, which is that it is difficult to effectively separate the recoverable energy from the complex interference signal, which leads to inaccurate and inefficient frequency band of electromagnetic interference energy recovery of the equipment. Summary of the invention

[0004] The present application solves the technical problem in the prior art that it is difficult to effectively separate recoverable energy from complex interference signals, thereby causing inaccurate and inefficient frequency bands for electromagnetic interference energy recovery in equipment, by providing a method for recovering electromagnetic interference energy in railway signal equipment for energy conversion. The application achieves the optimal selection of the electromagnetic energy recovery frequency band, achieving the technical effect of improving energy recovery efficiency and reducing the impact of electromagnetic interference signals on equipment.

[0005] The present application provides a method for recovering electromagnetic interference energy of railway signal equipment for energy conversion, comprising: identifying and collecting 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; 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 and obtaining multiple interference intensity information; optimizing the recovery frequency band of the electromagnetic energy recovery device according to the multiple energy density information, the multiple energy density stability information and the multiple interference intensity information to obtain an 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; and controlling the electromagnetic energy recovery device to recover electromagnetic interference energy according to the optimal recovery frequency band.

[0006] In a possible implementation, a signal recognition device is used to identify and collect interference electromagnetic signal sequences of multiple interference sources that cause electromagnetic interference to railway signal equipment, and the following processing is also performed: a plurality of interference signal frequency bands of multiple interference sources that cause electromagnetic interference to railway signal equipment are identified through a signal recognition device; according to the plurality of interference signal frequency bands, the interference electromagnetic signals of the plurality of interference sources at multiple time nodes are collected to obtain a plurality of interference electromagnetic signal sequences.

[0007] In a possible implementation, energy density analysis and energy density stability analysis are performed on multiple interference electromagnetic signal sequences to obtain multiple energy density information and multiple energy density stability information, and multiple interference intensity information are calculated. The following processing is also performed: energy density detection is performed on the interference electromagnetic signals within the multiple interference electromagnetic signal sequences to obtain multiple energy density sequences; energy density analysis and energy density stability analysis are performed based on the multiple energy density sequences to obtain multiple energy density information and multiple energy density stability information, and multiple interference intensity information are calculated.

[0008] In a possible implementation, energy density analysis and energy density stability analysis are performed based on the multiple energy density sequences to obtain multiple energy density information and multiple energy density stability information, and the following processing is also performed: the energy density mean of the multiple energy density sequences is calculated to obtain multiple energy density information; multiple first random energy densities are randomly selected from a first energy density sequence within the multiple energy density sequences, and the deviation percentages between the first random energy densities and the first energy density information are respectively calculated and the mean is calculated to obtain first energy density stability information; the calculation is continued to obtain multiple energy density stability information; multiple interference intensity information is calculated based on the multiple energy density information and multiple energy density stability information.

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

[0010] In a possible implementation, the recovery frequency band of the electromagnetic energy recovery device is optimized according to the multiple energy density information, multiple energy density stability information and multiple interference intensity information to obtain the optimal recovery frequency band, and the following processing is also performed: obtaining the recovery frequency band space of the electromagnetic energy recovery device; randomly selecting a first recovery frequency band in the recovery frequency band space; obtaining 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; continuing to optimize the recovery frequency band until the optimization converges, outputting the recovery frequency band with the largest interference energy recovery fitness, and obtaining the optimal recovery frequency band.

[0011] In a possible implementation, the first interference energy recovery fitness of the first recovery frequency band is obtained according to the multiple energy density information, multiple energy density stability information and multiple interference strength information, and the following processing is also performed: multiple energy weights of the multiple interference sources are allocated according to the multiple energy density stability information, wherein the inverse 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 inverse to the sum of the multiple inverses is calculated as the energy weight; according to the multiple interference signal frequency bands, M recovery energy density information and M recovery interference strength information of M recovery interference sources that recover signal electromagnetic energy under the first recovery frequency band are screened and obtained, as well as N non-recovered energy density information and N non-recovered interference strength information of N non-recovered interference sources that do not perform signal electromagnetic energy recovery, 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 fitness of the first recovery frequency band is calculated according to the multiple energy weights, M recovery energy density information, M recovery interference strength information, N non-recovered energy density information and N non-recovered interference strength information of N non-recovered interference sources.

[0012] In a possible implementation, the first interference energy recovery adaptability of the first recovery frequency band is calculated according to the multiple energy weights, the M recovered energy density information, the M recovered interference strength information, the N unrecovered energy density information of the N unrecovered interference sources, and the N unrecovered interference strength information, as shown in the following formula: ; 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.

[0013] Beneficial Effects The electromagnetic interference energy recovery method for railway signal equipment for energy conversion proposed in this application is intended to identify and collect interference electromagnetic signal sequences of multiple interference sources that cause electromagnetic interference to railway signal equipment; 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 equipment to obtain the optimal recovery frequency band; according to the optimal recovery frequency band, control the electromagnetic energy recovery equipment to recover electromagnetic interference energy. It solves the technical problem that it is difficult to effectively separate recoverable energy from complex interference signals in the prior art, which leads to inaccurate and inefficient electromagnetic interference energy recovery frequency bands of equipment, realizes the optimal selection of electromagnetic energy recovery frequency bands, and achieves the technical effect of improving energy recovery efficiency and reducing the impact of electromagnetic interference signals on equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of a flow chart of a method for recovering electromagnetic interference energy of railway signal equipment for energy conversion provided in an embodiment of the present application; Figure 2 A schematic diagram of a process for obtaining an optimal recovery frequency band in a method for recovering electromagnetic interference energy of railway signal equipment for energy conversion provided in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0017] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0018] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0019] The present application embodiment provides a method for recovering electromagnetic interference energy of railway signal equipment for energy conversion, such as Figure 1 As shown, the method includes: Step S100: using a signal recognition device, identifying and collecting interference electromagnetic signal sequences of multiple interference sources causing electromagnetic interference to railway signal equipment, wherein the interference electromagnetic signals of the multiple interference sources include multiple interference signal frequency bands.

[0020] Preferably, the interference electromagnetic signal sequence refers to electromagnetic interference signals of different frequency bands generated by the surrounding environment or the working state of other equipment during the operation of railway signal equipment. The main electromagnetic interference sources of railway signal equipment include electromagnetic interference of traction system, electromagnetic interference of communication system, electromagnetic interference of high-voltage power lines, electromagnetic interference of peripheral electronic equipment and electromagnetic interference of 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 of specific frequency bands. Such interference signals have high intensity and frequent fluctuations; wireless communication equipment used in the railway system ( For example, train wireless communication systems and communication base stations along the railway will generate high-frequency electromagnetic signals. These high-frequency signals have a wide frequency band and fluctuate with the change of the transmission power of the equipment; high-voltage power lines are usually laid along the railway, and the power-frequency electromagnetic field generated by them in the working state will form low-frequency electromagnetic interference signals; various electronic equipment may exist near the railway (such as substations, trackside signal lights, etc.), which will generate interference signals of different frequency bands during operation. These interference signals have diverse and scattered frequencies and may appear in low, medium and high frequency bands, increasing the complexity of the interference source; natural phenomena such as lightning will produce strong instantaneous pulse electromagnetic waves, whose frequency bands are widely distributed, ranging from low frequency to high frequency, and the interference intensity is 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 frequency, medium frequency and high frequency bands. Through signal recognition equipment, the frequency bands of these interference signals can be separated and the specific frequency characteristics of each interference source can be identified, thereby helping the subsequent electromagnetic interference energy recovery equipment to determine the best recovery frequency band to ensure that the interference to the signal equipment is reduced during the energy recovery process.

[0021] Step S100 further includes step S110, identifying multiple interference signal frequency bands of multiple interference sources that cause electromagnetic interference to railway signal equipment through a signal recognition device; step S120, collecting interference electromagnetic signals of the multiple interference sources at multiple time nodes according to the multiple interference signal frequency bands, and obtaining multiple interference electromagnetic signal sequences.

[0022] Preferably, a signal recognition device is used to detect and identify the frequency band range of interference signals emitted by multiple interference sources that generate electromagnetic interference to railway signal equipment. Each interference source (such as train traction system, wireless communication system, substation, etc.) will generate electromagnetic signals in different frequency ranges, which will 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 medium frequency range, while the interference signal of another interference source may be in the high frequency range, so as to clarify the source and frequency characteristics of the interference signal. Then, the signal recognition device will identify the interference signal based on these frequency bands in actual operation. During the process, electromagnetic interference signals from various interference sources are collected, that is, the strength, waveform, frequency characteristics and other information of the interference signals at different time nodes are collected within a specific frequency band. For example, multiple collections are performed on the same frequency band in multiple time periods of a day (such as peak period, non-peak period) or under different operating conditions (such as different seasons or climatic conditions), and the fluctuations and changing trends of the interference signals are recorded to ensure accurate interference signal data. Each collected data forms a continuous interference signal record, which is arranged in time to form multiple interference electromagnetic signal sequences. Each interference electromagnetic signal sequence corresponds to a frequency band or the signal behavior of a specific interference source.

[0023] Step S200, performing energy density analysis and energy density stability analysis on multiple interference electromagnetic signal sequences, obtaining multiple energy density information and multiple energy density stability information, and calculating and obtaining multiple interference intensity information.

[0024] Preferably, energy density analysis and energy density stability analysis are performed on the collected multiple interference electromagnetic signal sequences to obtain the energy characteristics and stability characteristics of each signal frequency band, that is, to obtain multiple energy density information and multiple energy density stability information. Specifically, energy density analysis refers to the analysis of the 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, and helping to identify which frequency bands have higher interference energy and are suitable as recovery targets. For example, if an interference signal has a higher energy density value in a certain frequency band, it means that stronger electromagnetic interference is generated in this frequency band; energy density stability analysis refers to the analysis of the energy fluctuation of electromagnetic interference signals in different frequency bands (such as the fluctuation amplitude of energy density) to reflect its stability. Energy density stability information refers to the fluctuation amplitude of the energy density of each interference signal. Stability information helps to evaluate the continuity and reliability of the signal and identify which ones are suitable for recovery. The energy density of the interference signal is stable and suitable for stable energy recovery. For example, if the energy density stability of a certain frequency band is high, it means that the interference signal persists in this frequency band with small fluctuations, which is more suitable for energy recovery. However, frequency bands with large energy density fluctuations may cause unstable recovery efficiency. After obtaining the energy density information and stability information, the interference intensity of each interference signal is further calculated. Specifically, the interference intensity information can be expressed as a weighted combination of energy density information and energy density stability information, that is, the weight coefficients of the energy density information and the energy density stability information are set according to specific application requirements. For example, if the main purpose is to increase the total amount of recovered energy, the energy density information weight coefficient is set to be greater than the energy density stability information weight coefficient, such as 0.7 and 0.3 respectively. The energy density information and energy density stability information are then standardized, and the values ​​of different frequency bands are converted to the same range. Multiple interference intensity information is obtained by weighted calculation to compare the interference intensity of different frequency bands, and then the frequency band with larger and more stable interference intensity is selected for energy recovery.

[0025] Step S200 further includes step S210, performing energy density detection on the interference electromagnetic signals within the multiple interference electromagnetic signal sequences to obtain multiple energy density sequences; step S220, performing energy density analysis and energy density stability analysis based on 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.

[0026] Preferably, energy density detection is performed on each interference electromagnetic signal sequence, which means calculating the energy density of the electromagnetic signal in each frequency band, determining the average energy level per unit time by measuring the strength of the signal, obtaining multiple energy density values, and arranging these values ​​in chronological order into an energy density sequence. Each interference electromagnetic signal sequence will generate a corresponding energy density sequence for analyzing the energy changes of the signal in different time periods or at different 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 the interference signal 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 generate concentrated interference, so as to facilitate the recovery equipment to optimize the frequency setting and obtain multiple energy density information, i.e., the energy distribution characteristics of each frequency band or interference source.

[0027] Preferably, energy density stability analysis refers to observing the changes in energy density of interference signals in 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 smaller range. A signal with smaller fluctuations indicates that its energy density stability is higher. The trend changes of energy density in different time periods are observed to determine whether there are periodic fluctuations or random interference to determine signal stability, and obtain multiple energy density stability information, that is, energy density stability information for each frequency band or time period; based on the energy density information and stability information, the interference intensity information is further calculated to measure the comprehensive impact of the interference signal on the railway signal equipment. Specifically, the energy density information and stability information are weightedly combined to calculate the interference intensity of each frequency band or time period, indicating the comprehensive interference impact of each frequency band on the railway signal equipment. The greater the interference intensity, the stronger the interference of the electromagnetic signal in the frequency band on the railway signal equipment, which provides data support for the frequency band optimization of the electromagnetic energy recovery equipment.

[0028] 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 selecting multiple first random energy densities in 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, to obtain 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 based on the multiple energy density information and multiple energy density stability information.

[0029] Preferably, the energy density values ​​in each interference electromagnetic signal sequence are averaged to obtain the average energy density of each sequence. The mean 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. Multiple energy density values ​​are randomly selected from the first energy density sequence in multiple energy density sequences as multiple first random energy densities, and the fluctuation of the sequence is evaluated. Then, each first random energy density value is compared with the mean of the first energy density information, and the deviation percentage is calculated, that is, the difference between the first random energy density and the mean of the first energy density information is calculated, and then divided by the mean of the first energy density information to obtain multiple deviation percentages and calculate the mean as the energy density stability information of the sequence, which reflects the fluctuation of the signal at multiple time points. The smaller the deviation percentage, the more stable the energy density, and it is suitable for energy recovery. According to the energy density information and energy density stability information of each sequence, its interference intensity information is further calculated, which is usually a weighted combination of energy density and stability information. The weight can be adjusted according to actual needs. The larger the interference intensity information, the higher the electromagnetic interference signal intensity and the better the stability in the frequency band or time period, which is suitable for energy recovery.

[0030] Step S224 further includes step S2241, subtracting the multiple energy density stability information from 1 to obtain multiple interference influence coefficients; step S2242, respectively using the multiple interference influence coefficients and multiplying them by the energy density information to obtain multiple interference intensity information.

[0031] Preferably, for the stability information (mean value of percentage deviation) of each energy density sequence, the interference influence coefficient is calculated by subtracting the stability information from 1, wherein 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 the signal over time. The higher the interference influence coefficient (close to 1), the smaller the energy density fluctuation and the better the stability of the frequency band, which is suitable for energy recovery. The lower the interference influence coefficient (close to 0), the more unstable the energy of the frequency band is, which is less suitable for energy recovery. The interference influence coefficient of each interference signal is then multiplied by the energy density information to obtain multiple interference intensity information. The larger the interference intensity information, the more stable the interference energy of the frequency band is, which is 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.

[0032] Step S300, based on the multiple energy density information, multiple energy density stability information and multiple interference intensity information, optimize the recovery frequency band of the electromagnetic energy recovery equipment 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.

[0033] Preferably, among multiple electromagnetic interference signal frequency bands, the frequency band most suitable for electromagnetic energy recovery is selected based on energy density information, energy density stability information and interference intensity information, so as to recover useful electromagnetic interference energy to the greatest extent possible, while minimizing the negative impact of these interference signals on railway signal equipment. Specifically, each interference frequency band is screened according to the obtained energy density information, energy density stability information and interference intensity information, and frequency bands with low energy density and poor stability are excluded, including giving priority to frequency bands with higher energy density; among multiple high energy density frequency bands, frequency bands with high stability are further screened; in combination with the interference intensity information, frequency bands with moderate interference intensity are given priority, 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 screening the multiple candidate frequency bands, according to the capacity and purpose of the equipment, The standard requires the selection of multiple frequency bands for combination so that the electromagnetic energy recovery equipment can recover energy from different frequency bands at the same time. For example, some frequency bands have high energy density but average stability, and can be combined with other frequency bands with moderate energy density but higher 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 priority recovery frequency bands to ensure that the recovery equipment can reduce the interference impact on railway signal equipment while efficiently recovering. During actual operation, the frequency band and intensity of electromagnetic interference may change with environmental conditions or equipment status. A dynamic adjustment mechanism is introduced to continuously maintain the best recovery effect. The optimal recovery frequency band combination finally determined ensures that the recovery equipment can efficiently extract electromagnetic energy from it, improve energy utilization, and improve energy recovery while reducing the impact of interference on railway signal equipment.

[0034] like Figure 2 As shown, step S300 further includes step S310, obtaining the recovery frequency band space of the electromagnetic energy recovery device; step S320, randomly selecting a first recovery frequency band in the recovery frequency band space; step S330, processing and obtaining 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, continuing to optimize the recovery frequency band until the optimization converges, outputting the recovery frequency band with the largest interference energy recovery fitness, and obtaining the optimal recovery frequency band.

[0035] Preferably, a recovery frequency band space is defined according to the signal recognition result to ensure that all interference signal frequency bands are covered. The recovery frequency band space is a set of frequency ranges, which includes all candidate frequency bands that may be used for electromagnetic energy recovery. A frequency band is randomly selected in the space as a candidate frequency band (called a first recovery frequency band), and the interference energy recovery fitness of the first recovery frequency band is calculated based on energy density information, energy density stability information and interference intensity information, which is used to evaluate the energy recovery effect of each recovery frequency band and reflect the effectiveness and stability of the frequency band in electromagnetic energy recovery. The higher the fitness value, the more suitable the frequency band is for energy recovery. In the recovery frequency band space, different frequency bands are randomly selected and their fitness is calculated through multiple iterations, and the selected frequency band is gradually optimized. When the optimization result does not change significantly after several consecutive iterations, it is considered that the optimization process has converged, that is, the optimal solution has been reached. The corresponding frequency band with the highest fitness is used as the optimal recovery frequency band, which is set as the optimal frequency band of the electromagnetic energy recovery equipment to ensure the high efficiency and stability of the energy recovery of the equipment, achieve the most efficient electromagnetic energy recovery, and reduce the interference impact on railway signal equipment.

[0036] Step S330 further includes step S331, allocating multiple energy weights of the multiple interference sources according to the multiple energy density stability information, wherein the inverse 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 inverse to the sum of the multiple inverses is calculated as the energy weight; step S332, screening and obtaining, according to the multiple interference signal frequency bands, M recovery energy density information and M recovery interference intensity information of the M recovery interference sources that recover signal electromagnetic energy under the first recovery frequency band, and N non-recovered energy density information and N non-recovered interference intensity information of the N non-recovered interference sources that do not perform signal electromagnetic energy recovery, M and N are integers greater than 1, and the sum of M and N is the number of multiple interference sources; step S333, calculating the first interference energy recovery adaptability of the first recovery frequency band according to the multiple energy weights, M recovery energy density information, M recovery interference intensity information, N non-recovered energy density information and N non-recovered interference intensity information of the N non-recovered interference sources.

[0037] Furthermore, step S333 also includes a first interference energy recovery fitness calculation formula: ; 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.

[0038] Preferably, the energy weight is used to indicate the importance of each interference source in the overall interference environment, and is calculated by standardizing each energy density stability information. Specifically, the inverse of the ratio of the energy density stability information of each interference source to the sum of all energy density stability information is calculated. That is, if the energy density stability of a certain interference source is higher (small fluctuation), its inverse is larger, indicating that the source should obtain a higher weight in energy recovery, and then the ratio of each inverse value to the sum of all inverse values ​​is calculated, and the 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 in the currently selected first recovery frequency band, and the N unrecovered interference sources refer to the interference sources whose energy is not recovered by the electromagnetic energy recovery device in the current frequency band. M and N are integers greater than 1, such as M is 18 and N is 2, and the sum of M and N is equal to the total number of interference sources.

[0039] Screen and obtain M recovered energy density information and M recovered interference intensity information of M recovered interference sources, which respectively represent the energy density and interference intensity of these M interference sources in the first recovery frequency band, and are used to evaluate the effect of energy recovery in the current frequency band; obtain N unrecovered energy density information and N unrecovered interference intensity information of N unrecovered interference sources, which represent the energy density and interference intensity of N interference sources that have not performed energy recovery in this frequency band, and are used to analyze the impact of the interference of the unrecovered part on the overall recovery effect; finally, calculate the first interference energy recovery fitness of the first recovery frequency band, and the calculation formula is 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.

[0040] Preferably, 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, the greater the interference intensity information) and the negative evaluation of the unrecovered part (the impact of the unrecovered 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 on this frequency band can be judged, thereby comparing the recovery effects of different frequency bands in the entire recovery frequency band space, and gradually optimizing the frequency band selection. Through multiple random selections and fitness calculations, the recovery frequency band with the highest fitness, that is, the optimal recovery frequency band, is found, thereby maximizing the energy recovery efficiency and minimizing the interference to railway signal equipment.

[0041] Step S400: controlling the electromagnetic energy recovery device to recover electromagnetic interference energy according to the optimal recovery frequency band.

[0042] 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 to the electromagnetic energy recovery device, and the electromagnetic energy recovery device tunes the frequency of the receiving and energy conversion modules to the selected frequency band to ensure that energy is extracted only from the frequency band with strong interference signals and high energy density, thereby 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 only allow signals in the target frequency band to pass through, so as to accurately extract the energy of the target frequency band and improve the recovery effect; and then, according to the interference intensity information of the target frequency band, the power module and the load module of the recovery device are controlled to match them with 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 the electromagnetic energy into usable electricity and store or use it directly. After completing the frequency band setting, filtering and power control, the equipment enters the actual energy recovery stage, that is, collecting electromagnetic interference signals from the target frequency band and converting them into usable energy, such as using the recovered energy for the operation of the electromagnetic energy recovery equipment itself; storing or directly transmitting the recovered energy 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, so as to achieve the technical effect of energy saving and stable operation.

[0043] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art 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 principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some 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; Performing 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 calculating and obtaining multiple interference intensity 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, the electromagnetic energy recovery device is controlled to perform electromagnetic interference energy recovery.

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 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: 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.

7. The method for recovering electromagnetic interference energy of railway signal equipment for energy conversion according to claim 6, 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.

8. The method for recovering electromagnetic interference energy of railway signal equipment for energy conversion according to claim 7, 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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