Railway signal processing method and system, computer equipment, readable storage medium and program product

Abstract

The invention relates to a railway signal processing method and system, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining a railway signal of a railway line; the railway signal comprises a current signal, a voltage signal and a temperature and humidity signal; compressing the railway signal to obtain a compressed railway signal; the compressed railway signal is converted into an optical pulse sequence with corresponding intensity, the power of the optical pulse sequence is subjected to equalization adjustment through an optical fiber laser, and the optical pulse sequence subjected to power adjustment is subjected to distributed amplification through a Raman optical fiber amplifier; converting the optical pulse sequence after distributed amplification into an electric signal, and performing gain amplification processing on the electric signal to obtain an electric signal after gain amplification; shaping and filtering the electric signal after gain amplification to obtain a filtered electric signal; and performing anomaly detection on the filtered electric signal to obtain an anomaly detection result. By adopting the method, the railway power supply fault analysis efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of railway technology, and in particular to a railway signal processing method, system, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] The railway signal power supply acquisition and monitoring system helps railway monitoring centers effectively and dynamically monitor power supply conditions at each station, overcoming "blind pipe" issues and preventing faults before they occur, thereby significantly improving power supply reliability and quality. In the event of a fault, the signal power supply acquisition and monitoring system comprehensively analyzes monitoring data to accurately identify the cause, enabling rapid repairs and minimizing outage duration and losses. Data collected from various daily monitoring systems can be archived and used as first-hand information for future management decisions, effectively improving management capabilities.

[0003] When the railway signal processing system in the related technology performs signal acquisition and monitoring, due to the characteristics of railway signals with large and complex signal information, the transmittable information capacity is small and the transmission distance is short, making it difficult to ensure the effect of signal transmission, and thus difficult to realize railway power supply fault analysis efficiently. Summary of the Invention

[0004] Based on this, it is necessary to provide a railway signal processing method, system, computer equipment, computer-readable storage medium and computer program product that can improve the efficiency of railway power supply fault analysis in response to the above technical problems.

[0005] In a first aspect, the present application provides a railway signal processing method, comprising:

[0006] Acquire railway signals of the railway line; the railway signals include current signals, voltage signals, and temperature and humidity signals; the current signals include track circuit return line current signals; the voltage signals include signal power panel output voltage signals; the temperature and humidity signals include contact network insulator surface temperature and humidity signals;

[0007] compressing the railway signal to obtain a compressed railway signal;

[0008] Converting the compressed railway signal into a light pulse sequence of corresponding intensity, performing balanced power adjustment on the light pulse sequence through a fiber laser, and performing distributed amplification on the power-adjusted light pulse sequence through a Raman fiber amplifier;

[0009] Converting the distributed amplified optical pulse sequence into an electrical signal, and performing gain amplification processing on the electrical signal to obtain a gain-amplified electrical signal;

[0010] Performing shaping and filtering on the gain-amplified electrical signal to obtain a filtered electrical signal;

[0011] Anomaly detection is performed on the filtered electrical signal to obtain an anomaly detection result.

[0012] In one embodiment, the filtered electrical signal is obtained through encryption processing; the method further includes:

[0013] receiving a decryption operation of decrypting the filtered electrical signal using a target decryption verification method, determining whether decryption information input by the decryption operation is the same as preset decryption information, and determining a number of decryption verification errors; the target decryption verification method including at least one of digital password verification, face recognition, and voice recognition;

[0014] When the number of decryption verification errors exceeds a preset threshold, the warning module is triggered to issue an alarm prompt; the warning module includes at least one of a buzzer, a warning light and a voice prompt module.

[0015] In one embodiment, the method further comprises:

[0016] Storing the filtered electrical signal in a data storage module;

[0017] The data cleaning mechanism is triggered according to a preset period; the data cleaning mechanism is used to automatically delete data in the data storage module that exceeds the storage period.

[0018] In one embodiment, the filtered electrical signal includes a filtered current signal and a filtered voltage signal;

[0019] The performing abnormality detection on the filtered electrical signal to obtain an abnormality detection result includes:

[0020] In a case where the current value represented by the filtered current signal is greater than a preset track circuit safety current threshold, determining that the abnormality detection result includes a track circuit breakage;

[0021] In a case where the voltage value represented by the filtered voltage signal is greater than a preset power panel safety threshold, it is determined that the abnormality detection result includes a power panel overvoltage fault.

[0022] In one embodiment, the filtered electrical signal further includes a filtered temperature and humidity signal, and the performing abnormality detection on the filtered electrical signal to obtain the abnormality detection result includes:

[0023] Inputting the temperature value and humidity value represented by the filtered temperature and humidity signal into the insulator flashover model and outputting the flashover risk value;

[0024] When the pollution flashover risk value is greater than a preset pollution flashover risk threshold, it is determined that the abnormal detection result includes the presence of insulator pollution flashover risk.

[0025] In one embodiment, the filtered electrical signal further includes a filtered temperature and humidity signal, and the method further includes:

[0026] Determining voltage quality information based on a difference between a voltage value represented by the filtered voltage signal and a preset power supply screen safety threshold;

[0027] identifying current harmonic components corresponding to the filtered current signal through an FFT spectrum analysis algorithm, and determining current quality information based on the current harmonic components;

[0028] Analyze the impact of environmental factors on the power supply equipment in combination with the filtered temperature and humidity signals to obtain environmental correlation analysis information;

[0029] A power supply quality analysis report is generated according to the voltage quality information, the current quality information, and the environment-related analysis information, and the power supply quality analysis report is displayed on a display terminal.

[0030] In a second aspect, the present application also provides a railway signal processing system, comprising: a signal acquisition module, a signal compression module, a signal transmission module, a signal amplification module, a shaping and filtering module, and a signal processing module;

[0031] The signal acquisition module is used to obtain railway signals of the railway line; the railway signals include current signals, voltage signals and temperature and humidity signals; the current signals include track circuit return line current signals; the voltage signals include signal power panel output voltage signals; the temperature and humidity signals include contact network insulator surface temperature and humidity signals;

[0032] The signal compression module is used to compress the railway signal to obtain a compressed railway signal;

[0033] The signal transmission module is used to convert the compressed railway signal into a light pulse sequence of corresponding intensity, perform balanced power adjustment on the light pulse sequence through a fiber laser, and perform distributed amplification on the power-adjusted light pulse sequence through a Raman fiber amplifier;

[0034] The signal amplification module is used to convert the distributed amplified optical pulse sequence into an electrical signal, and perform gain amplification processing on the electrical signal to obtain a gain-amplified electrical signal;

[0035] The shaping and filtering module is used to perform shaping and filtering on the gain-amplified electrical signal to obtain a filtered electrical signal;

[0036] The signal processing module is used to perform abnormality detection on the filtered electrical signal, obtain an abnormality detection result, and display the abnormality detection result.

[0037] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the above method are implemented.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when executed by a processor.

[0039] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which implements the steps of the above method when executed by a processor.

[0040] The above-mentioned railway signal processing method, system, computer equipment, computer-readable storage medium and computer program product obtain railway signals of the railway line; the railway signals include current signals, voltage signals and temperature and humidity signals; the current signals include the current signals of the track circuit return line; the voltage signals include the output voltage signals of the signal power supply panel; the temperature and humidity signals include the surface temperature and humidity signals of the contact network insulator; compress the railway signals to obtain compressed railway signals; convert the compressed railway signals into a light pulse sequence of corresponding intensity, balance the power of the light pulse sequence through a fiber laser, and distribute amplify the power-adjusted light pulse sequence through a Raman fiber amplifier; convert the distributed amplified light pulse sequence into an electrical signal, perform gain amplification processing on the electrical signal to obtain a gain-amplified electrical signal; perform shaping filtering on the gain-amplified electrical signal to obtain a filtered electrical signal; and perform anomaly detection on the filtered electrical signal to obtain an anomaly detection result.

[0041] In this way, by compressing the collected railway signals, the channel capacity occupied during information transmission can be reduced. The power of the optical pulse sequence is balanced and adjusted using a fiber laser to ensure that the pulse power is within the optimal range for optical fiber transmission. The power-adjusted optical pulse sequence is distributedly amplified using a Raman fiber amplifier to increase the capacity and transmission distance of the transmitted information. The distributed amplified optical pulse sequence is then converted into an electrical signal, which is then gain-amplified and shaped and filtered to ensure signal smoothness. Through these operations, the capacity and transmission distance of the information transmission process can be increased, enabling data to be transmitted remotely while ensuring signal transmission efficiency. Railway signals include current signals, voltage signals, and temperature and humidity signals. Current signals include track circuit return line current signals; voltage signals include signal power panel output voltage signals; and temperature and humidity signals include contact network insulator surface temperature and humidity signals. By designating key monitoring points such as contact network insulators, return lines, and power panels for signal collection, accurate coverage of railway power supply risk sources is achieved. By performing anomaly detection on railway signals with improved signal transmission efficiency, railway power supply fault analysis can be efficiently and accurately performed. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 1 is a flow chart of a railway signal processing method according to an embodiment;

[0044] Figure 2 is a flow chart of a railway signal processing method according to another embodiment;

[0045] Figure 3 is a structural block diagram of a railway signal processing system in one embodiment;

[0046] Figure 4 is a structural diagram of a signal transmission module in one embodiment;

[0047] Figure 5 is a structural diagram of a signal preprocessing module in one embodiment;

[0048] Figure 6 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment.

[0049] in:

[0050] 1. Signal processing module; 2. Control terminal; 3. Signal acquisition module; 301. Temperature and humidity sensor module; 302. Current sensor module; 303. Voltage sensor module; 4. Signal compression module; 5. Signal transmission module; 501. Fiber laser; 502. Raman fiber amplifier; 6. Signal preprocessing module; 601. Signal amplification module; 602. Shaping filter module; 7. Encryption module; 701. Digital encryption module; 702. Face recognition module; 703. Voice recognition module; 8. Warning module; 801. Buzzer module; 802. Warning light module; 803. Voice prompt module; 9. Data backup module; 901. Cloud storage module; 902. Data storage module; 10. Timing module; 11. Data cleaning module. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0052] It should be noted that the terms "first", "second", etc. used in this application may be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "including" and "having" used in this application and any variations thereof are intended to cover non-exclusive inclusions. The term "plurality" used in this application refers to two or more. The term "and / or" used in this application refers to one of the solutions or any combination of multiple solutions.

[0053] In one embodiment, Figure 1 As shown, a railway signal processing method is provided. This embodiment uses the method as an example to illustrate the application of the method to a railway signal processing system with a remote data transmission structure. It is understandable that the method can be applied to a terminal or a server. In this embodiment, the method includes the following steps:

[0054] Step S110: Acquire railway signals of the railway line.

[0055] Among them, railway signals include current signals, voltage signals, and temperature and humidity signals.

[0056] The current signal includes a track circuit return line current signal.

[0057] The voltage signal includes a signal power panel output voltage signal.

[0058] The temperature and humidity signals include surface temperature and humidity signals of contact network insulators.

[0059] Among them, the temperature and humidity sensor module can be set on the surface of the contact network insulator to collect the temperature and humidity signals on the insulator surface; the voltage sensor module can be set on the output terminal block of the signal power panel to collect the output voltage signal of the power panel; the current sensor module can be set at the grounding end of the track circuit return line to collect the current signal of the track circuit return line.

[0060] In a specific implementation, the railway signal processing system can acquire railway signals from the railway line, including current signals, voltage signals, and temperature and humidity signals. The current signal can be the track circuit return line current signal collected by the current sensor module; the voltage signal can be the signal power panel output voltage signal collected by the voltage sensor module; and the temperature and humidity signal can be the contact network insulator surface temperature and humidity signal collected by the temperature and humidity sensor module.

[0061] Step S120: compress the railway signal to obtain a compressed railway signal.

[0062] In a specific implementation, the railway signal processing system can compress the railway signal to obtain a compressed railway signal.

[0063] Step S130 , converting the compressed railway signal into an optical pulse sequence of corresponding intensity, performing balanced power adjustment on the optical pulse sequence through a fiber laser, and performing distributed amplification on the power-adjusted optical pulse sequence through a Raman fiber amplifier.

[0064] In specific implementation, the railway signal processing system can convert the compressed railway signal into a light pulse sequence of corresponding intensity, and then use a fiber laser to evenly adjust the power of the light pulse sequence to adjust the power to the optimal emission range. The power-adjusted light pulse sequence is then distributedly amplified through a Raman fiber amplifier to improve the signal-to-noise ratio and transmission distance.

[0065] Among them, the railway signal processing system can convert the compressed digital signal into an analog electrical signal, adjust the laser diode bias current in real time according to the amplitude of the analog electrical signal, and convert the current signal into a light pulse sequence of corresponding intensity through the laser diode.

[0066] Step S140 , converting the distributed amplified optical pulse sequence into an electrical signal, performing gain amplification processing on the electrical signal to obtain a gain-amplified electrical signal.

[0067] In a specific implementation, the optical pulse sequence after distributed amplification can be converted into an electrical signal, and the electrical signal is subjected to gain amplification processing to restore the signal amplitude lost due to transmission attenuation to obtain a gain-amplified electrical signal.

[0068] Step S150 , performing shaping filtering on the gain-amplified electrical signal to obtain a filtered electrical signal.

[0069] In a specific implementation, the amplified electrical signal can be shaped and filtered to obtain a filtered electrical signal. For example, in the time domain, a raised cosine filter can be used to shape the amplified electrical signal to eliminate intersymbol interference. In the frequency domain, a bandpass filter can be used to suppress out-of-band noise in the amplified electrical signal, outputting a smoothed electrical signal to obtain a filtered electrical signal.

[0070] Step S160: Perform anomaly detection on the filtered electrical signal to obtain an anomaly detection result.

[0071] In a specific implementation, anomaly detection can be performed on the filtered electrical signal to obtain an anomaly detection result.

[0072] Specifically, the filtered electrical signal includes a filtered current signal, a filtered voltage signal, and a filtered temperature and humidity signal. The filtered current signal, the filtered voltage signal, and the filtered temperature and humidity signal can be respectively subjected to abnormality detection to obtain abnormality detection results.

[0073] In the above-mentioned railway signal processing method, the railway signal of the railway line is obtained; the railway signal includes a current signal, a voltage signal and a temperature and humidity signal; the current signal includes a track circuit return line current signal; the voltage signal includes a signal power supply panel output voltage signal; the temperature and humidity signal includes a contact network insulator surface temperature and humidity signal; the railway signal is compressed to obtain a compressed railway signal; the compressed railway signal is converted into a light pulse sequence of corresponding intensity, the power of the light pulse sequence is balanced and adjusted by a fiber laser, and the power-adjusted light pulse sequence is distributedly amplified by a Raman fiber amplifier; the distributed amplified light pulse sequence is converted into an electrical signal, and the electrical signal is gain amplified to obtain a gain-amplified electrical signal; the gain-amplified electrical signal is shaped and filtered to obtain a filtered electrical signal; the filtered electrical signal is detected for anomalies to obtain an anomaly detection result.

[0074] In this way, by compressing the collected railway signals, the channel capacity occupied during information transmission can be reduced. The power of the optical pulse sequence is balanced and adjusted using a fiber laser to ensure that the pulse power is within the optimal range for optical fiber transmission. The power-adjusted optical pulse sequence is distributedly amplified using a Raman fiber amplifier to increase the capacity and transmission distance of the transmitted information. The distributed amplified optical pulse sequence is then converted into an electrical signal, which is then gain-amplified and shaped and filtered to ensure signal smoothness. Through these operations, the capacity and transmission distance of the information transmission process can be increased, enabling data to be transmitted remotely while ensuring signal transmission efficiency. Railway signals include current signals, voltage signals, and temperature and humidity signals. Current signals include track circuit return line current signals; voltage signals include signal power panel output voltage signals; and temperature and humidity signals include contact network insulator surface temperature and humidity signals. By designating key monitoring points such as contact network insulators, return lines, and power panels for signal collection, accurate coverage of railway power supply risk sources is achieved. By performing anomaly detection on railway signals with improved signal transmission efficiency, railway power supply fault analysis can be efficiently and accurately performed.

[0075] In one embodiment, the filtered electrical signal is obtained through encryption processing; the method also includes: receiving a decryption operation to decrypt the filtered electrical signal through a target decryption verification method, judging whether the decryption information input by the decryption operation is the same as the preset decryption information, and determining the number of decryption verification errors; when the number of decryption verification errors exceeds a preset threshold, triggering an alarm module to issue an alarm prompt; the alarm module includes at least one of a buzzer, a warning light and a voice prompt module.

[0076] Among them, the target decryption verification method includes at least one of digital password verification, face recognition, and voice recognition.

[0077] The warning module includes at least one of a buzzer, a warning light and a voice prompt module.

[0078] In a specific implementation, after receiving a decryption operation to decrypt the filtered electrical signal through a target decryption verification method, it can be determined whether the decryption information input by the decryption operation is the same as the preset decryption information (such as whether the input digital password is the same as the preset digital password, whether the input facial information is the same as the preset facial information), thereby determining the number of decryption verification errors. When the number of decryption verification errors exceeds a preset threshold (for example, 2 times, the specific value can be set according to actual needs), the warning module is triggered to issue an alarm prompt; the warning module includes at least one of a buzzer, a warning light and a voice prompt module.

[0079] The technical solution of this embodiment is that the filtered electrical signal is obtained through encryption processing; a decryption operation is received to decrypt the filtered electrical signal through a target decryption verification method, and the decryption information input in the decryption operation is determined to be the same as the preset decryption information, thereby determining the number of decryption verification errors; the target decryption verification method includes at least one of digital password verification, face recognition, and voice recognition; when the number of decryption verification errors exceeds a preset threshold, a warning module is triggered to issue an alarm; and the alarm module includes at least one of a buzzer, a warning light, and a voice prompt module. In this way, after obtaining the filtered electrical signal, it is necessary to decrypt it through multiple verification methods, thereby protecting the information and preventing the signal from being stolen or interfered with. At the same time, because the alarm module is composed of a buzzer module, a warning light module, and a voice prompt module, when the number of verification errors exceeds the preset threshold, the buzzer module, the warning light module, and the voice prompt module are used to provide a warning function to the staff, so that timely processing can be carried out to prevent signal tampering, thereby increasing the security and accuracy of the signal transmission process.

[0080] In one embodiment, the method further includes: storing the filtered electrical signal in a data storage module; triggering a data cleaning mechanism according to a preset period; and the data cleaning mechanism is used to automatically delete data in the data storage module that exceeds the storage period.

[0081] In a specific implementation, the railway signal processing system can store the filtered electrical signal in a data storage module; and can trigger a data cleaning mechanism according to a preset period; the data cleaning mechanism is used to automatically delete data in the data storage module that exceeds the storage period.

[0082] In practical applications, the filtered electrical signal can also be stored in a cloud storage module.

[0083] The technical solution of this embodiment stores the filtered electrical signals in a cloud storage module and a data storage module respectively; a data cleanup mechanism is triggered at a preset period; and the data cleanup mechanism is used to automatically delete data in the data storage module that has exceeded the storage period. In this way, the data cleanup mechanism is triggered at a preset period to automatically delete the expired data. The local storage space released after the cleanup accelerates real-time signal processing response and improves operation and maintenance efficiency.

[0084] In one embodiment, the filtered electrical signal includes a filtered current signal and a filtered voltage signal; the filtered electrical signal is subjected to an abnormality detection to obtain an abnormality detection result, including: when the current value represented by the filtered current signal is greater than a preset track circuit safety current threshold, determining that the abnormality detection result includes a track circuit breakage; when the voltage value represented by the filtered voltage signal is greater than a preset power panel safety threshold, determining that the abnormality detection result includes a voltage panel overvoltage fault.

[0085] In a specific implementation, when performing abnormality detection on the filtered electrical signal and obtaining the abnormality detection result, the current value represented by the filtered current signal can be compared with the preset track circuit safety current threshold. If the current value represented by the filtered current signal is greater than the preset track circuit safety current threshold, it is determined that the abnormality detection result includes a track circuit break.

[0086] The voltage value represented by the filtered voltage signal can also be compared with the preset power screen safety threshold. If the voltage value represented by the filtered voltage signal is greater than the preset power screen safety threshold, it is determined that the abnormal detection result includes a voltage screen overvoltage fault.

[0087] The technical solution of this embodiment is that the filtered electrical signal includes a filtered current signal and a filtered voltage signal. When the current value represented by the filtered current signal is greater than the preset track circuit safety current threshold, it is determined that the abnormal detection result includes a track circuit breakage; when the voltage value represented by the filtered voltage signal is greater than the preset power panel safety threshold, it is determined that the abnormal detection result includes a voltage panel overvoltage fault. In this way, by comparing the current value represented by the filtered current signal with the preset track circuit safety current threshold, it is possible to accurately determine whether there is a track circuit breakage fault; by comparing the voltage value represented by the filtered voltage signal with the preset power panel safety threshold, it is possible to accurately determine whether there is a voltage panel overvoltage fault.

[0088] In one embodiment, the filtered electrical signal also includes a filtered temperature and humidity signal, and the filtered electrical signal is subjected to anomaly detection to obtain an anomaly detection result, including: inputting the temperature value and humidity value represented by the filtered temperature and humidity signal into an insulator flashover model, and outputting a flashover risk value; when the flashover risk value is greater than a preset flashover risk threshold, determining that the anomaly detection result includes the existence of an insulator flashover risk.

[0089] Among them, the insulator pollution flashover model is a mathematical algorithm used to quantitatively evaluate the risk of pollution flashover of contact network insulators.

[0090] In a specific implementation, in the process of performing abnormality detection on the filtered electrical signal and obtaining the abnormal detection result, the temperature value and humidity value represented by the filtered temperature and humidity signal can be input into the insulator flashover model to output the flashover risk value; when the flashover risk value is greater than the preset flashover risk threshold, it is determined that the abnormal detection result includes the existence of an insulator flashover risk.

[0091] In the technical solution of this embodiment, the filtered electrical signal also includes a filtered temperature and humidity signal. The temperature and humidity values represented by the filtered temperature and humidity signals are input into an insulator flashover model to output a flashover risk value. If the flashover risk value exceeds a preset flashover risk threshold, the abnormality detection result is determined to include the presence of an insulator flashover risk. In this manner, by inputting the temperature and humidity values represented by the filtered temperature and humidity signals into the insulator flashover model, an accurate flashover risk value can be obtained. By comparing the flashover risk value with the preset flashover risk threshold, the presence of an insulator flashover risk can be efficiently and accurately determined.

[0092] In one embodiment, the method further includes: determining current quality information based on a current value represented by the filtered current signal; determining voltage quality information based on a voltage value represented by the filtered voltage signal; and generating a power quality analysis report based on the current quality information and the voltage quality information, and displaying the report on a display terminal.

[0093] Furthermore, the filtered electrical signal also includes a filtered temperature and humidity signal. Based on the temperature and humidity values represented by the filtered temperature and humidity signal, the impact of environmental factors on the power supply equipment can be analyzed to obtain environmental correlation analysis information. Based on the current quality information, voltage quality information, and environmental correlation analysis information, a power supply quality analysis report is generated and displayed on a display terminal.

[0094] In some embodiments, voltage quality information can be determined based on the difference between the voltage value represented by the filtered voltage signal and a preset power supply safety threshold. An FFT spectrum analysis algorithm is used to identify the current harmonic components corresponding to the filtered current signal, and current quality information is determined based on these current harmonic components. For example, an FFT spectrum analysis algorithm can be used to identify current harmonic components (such as the third and fifth harmonic content) and trigger an alarm when the third harmonic exceeds 5% or the fifth harmonic exceeds 3%. Furthermore, the number, duration, and recovery time of power outages can be counted to generate MTBF (mean time between failures) and MTTR (mean time to repair) metrics to obtain power supply reliability information. A power supply quality analysis report is generated based on the voltage quality information, current quality information, power supply reliability information, and environmental correlation analysis information, and displayed on a display terminal.

[0095] Furthermore, at least 12 months of historical data can be retrieved from the cloud storage module and the data storage module. Using a sliding window algorithm, current data can be compared with historical data from the same period (e.g., daily, weekly, and monthly power supply parameter fluctuation patterns) to identify seasonal or cyclical power quality trends. A database of power quality anomaly signatures (e.g., voltage sags, excessive harmonics, and sudden current changes) can also be established. Machine learning algorithms can be used to perform pattern matching on real-time data to predict potential fault risks. For example, in the event of a power outage, the fault can be automatically located to a specific signal transformer or power panel branch by comparing the current and voltage curves for the 72 hours prior to the outage.

[0096] Furthermore, the power supply quality analysis report may include voltage quality information, current quality information, power supply reliability information and environmental correlation analysis information. It may also include real-time monitoring data tables (voltage, current, harmonics and other values), trend analysis charts (24-hour voltage fluctuation curve, monthly harmonic change trend), abnormal event records (alarm time, type, impact range) and improvement suggestions (such as the recommendation to install a filter device when the harmonics exceed the standard).

[0097] The curved LED display screen group of the display terminal displays key power supply quality indicators (such as voltage qualification rate and harmonic distortion rate) in real time in the form of dynamic charts, supports touch interaction to query historical report data, and meets the ergonomic design requirements of the railway monitoring center.

[0098] In this way, the full range of operating parameters of railway signal power supply (current, voltage, ambient temperature and humidity) can be covered, avoiding misjudgment caused by single indicator analysis, improving data integrity, and real-time monitoring of indicators such as voltage fluctuations, harmonic distortion, and power supply quality. Hidden dangers such as insulation aging and equipment overload can be discovered in advance. This information can be presented in a visual form in the power supply quality analysis report for user reference, effectively improving power supply reliability and management efficiency, and meeting the railway industry's special requirements for high safety and high real-time performance.

[0099] In another embodiment, Figure 2 As shown, a flow chart of a railway signal processing method is provided, comprising the following steps:

[0100] Step S202: Acquire railway signals of the railway line.

[0101] Step S204: compress the railway signal to obtain a compressed railway signal.

[0102] Step S206 , converting the compressed railway signal into an optical pulse sequence of corresponding intensity, performing balanced power adjustment on the optical pulse sequence through a fiber laser, and performing distributed amplification on the power-adjusted optical pulse sequence through a Raman fiber amplifier.

[0103] Step S208 , converting the distributed amplified optical pulse sequence into an electrical signal, performing gain amplification processing on the electrical signal to obtain a gain-amplified electrical signal.

[0104] Step S210 , performing shaping filtering on the gain-amplified electrical signal to obtain a filtered electrical signal.

[0105] Step S212: When the current value represented by the filtered current signal is greater than a preset track circuit safety current threshold, it is determined that the abnormality detection result includes a track circuit breakage.

[0106] Step S214 : when the voltage value represented by the filtered voltage signal is greater than a preset power panel safety threshold, determining that the abnormality detection result includes a power panel overvoltage fault.

[0107] Step S216: input the temperature value and humidity value represented by the filtered temperature and humidity signal into the insulator flashover model, and output the flashover risk value.

[0108] Step S218: When the pollution flashover risk value is greater than a preset pollution flashover risk threshold, determining that the abnormal detection result includes the presence of an insulator pollution flashover risk.

[0109] Step S220: receiving a decryption operation for decrypting the filtered electrical signal in a target decryption verification manner, determining whether the decryption information input in the decryption operation is the same as the preset decryption information, and determining the number of decryption verification errors.

[0110] Step S222: When the number of decryption verification errors exceeds a preset threshold, the warning module is triggered to issue an alarm.

[0111] It should be noted that the specific definitions of the above steps can refer to the specific definitions of a railway signal processing method above.

[0112] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily performed in sequence in the order indicated by the arrows. Unless clearly stated herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of the steps or stages in other steps or other steps. It is understandable that the various steps in different embodiments can be freely combined as needed, and the various non-contradictory schemes formed by the combination all fall within the scope of protection of this application.

[0113] Based on the same inventive concept, an embodiment of the present application further provides a railway signal processing system for implementing the above-mentioned railway signal processing method, the system comprising: a signal acquisition module, a signal compression module, a signal transmission module, a signal amplification module, a shaping and filtering module, and a signal processing module;

[0114] The signal acquisition module is used to obtain railway signals of the railway line; the railway signals include current signals, voltage signals and temperature and humidity signals; the current signals include the track circuit return line current signals; the voltage signals include the signal power panel output voltage signals; the temperature and humidity signals include the contact network insulator surface temperature and humidity signals;

[0115] A signal compression module is used to compress railway signals to obtain compressed railway signals;

[0116] The signal transmission module is used to convert the compressed railway signal into a light pulse sequence of corresponding intensity, balance the power of the light pulse sequence through the fiber laser, and distribute amplify the power-adjusted light pulse sequence through the Raman fiber amplifier;

[0117] a signal amplification module, configured to convert the distributed amplified optical pulse sequence into an electrical signal, and perform gain amplification processing on the electrical signal to obtain a gain-amplified electrical signal;

[0118] A shaping and filtering module is used to perform shaping and filtering on the electrical signal after gain amplification to obtain a filtered electrical signal;

[0119] The signal processing module is used to perform anomaly detection on the filtered electrical signal, obtain anomaly detection results, and display the anomaly detection results.

[0120] like Figure 3FIG. 1 shows another schematic diagram of a railway signal processing system. The railway signal processing system includes a signal processing module 1, a control terminal 2, and a signal acquisition module 3. It may also include a signal compression module 4, a signal transmission module 5, a signal preprocessing module 6, an encryption module 7, an alarm module 8, a data backup module 9, a timing module 10, and a data cleaning module 11.

[0121] Among them, such as Figure 3 As shown, the signal acquisition module 3 includes a temperature and humidity sensor module 301, a current sensor module 302 and a voltage sensor module 303; Figure 4 As shown, a schematic structural diagram of a signal transmission module 5 is provided, wherein the signal transmission module 5 includes a fiber laser 501 and a Raman fiber amplifier 502; Figure 5 As shown, a structural diagram of the signal preprocessing module 6 is provided, and the signal preprocessing module 6 includes a signal amplification module 601 and a shaping filter module 602; Figure 3 As shown, the encryption module 7 includes a digital encryption module 701, a face recognition module 702 and a voice recognition module 703; Figure 3 As shown, the warning module 8 includes a buzzer module 801, a warning light module 802 and a voice prompt module 803; Figure 3 As shown, the data backup module 9 includes a cloud storage module 901 and a data storage module 902 .

[0122] Among them, the output end of the signal preprocessing module 6 is connected to the input end of the signal processing module 1 through a signal line, and the signal processing module 1 can process the signal. The output end of the signal processing module 1 is connected to the input end of the control terminal 2 through a data line. One end of the control terminal 2 is connected to the LED display group through the data line, and the shape of the LED display group is arc-shaped, which can facilitate better display of information.

[0123] See Figure 3 As can be seen, the output end of data storage module 902 is connected to timing module 10, and the output end of timing module 10 is connected to data cleaning module 11. Timing module 10 and data cleaning module 11 can be used to regularly delete and clean data to ensure storage space. Specifically, timing module 10 can trigger the data cleaning mechanism of data cleaning module 11 at a preset period, instructing data cleaning module 11 to automatically delete data in data storage module 902 that has exceeded the storage period.

[0124] See Figure 3It can be seen that the output end of the signal processing module 1 is connected to the signal acquisition module 3, and the output end of the signal acquisition module 3 is connected to the temperature and humidity sensor module 301, the current sensor module 302 and the voltage sensor module 303 in sequence, and the current sensor module 302 can be used to collect the current signal of the railway line, and the voltage sensor module 303 can be used to collect the voltage signal of the railway line, the output ends of the temperature and humidity sensor module 301, the current sensor module 302 and the voltage sensor module 303 are connected to the signal compression module 4, the output ends of the temperature and humidity sensor module 301, the current sensor module 302 and the voltage sensor module 303 are connected to the input end of the signal compression module 4 through a signal line, and the signal compression module 4 can be used to compress the collected signal, so as to reduce the channel capacity occupied during the information transmission process.

[0125] See Figure 3 It can be seen that the output end of the signal processing module 1 is connected to the warning module 8, and the output end of the warning module 8 is connected to the buzzer module 801, the warning light module 802 and the voice prompt module 803, and the buzzer module 801, the warning light module 802 and the voice prompt module 803 can be used to warn the staff so that the staff can deal with it in time to prevent the signal from being tampered with, thereby increasing the security and accuracy of the signal transmission process.

[0126] See Figure 3 and Figure 4 It can be seen that the output end of the signal compression module 4 is connected to the signal transmission module 5, and the output end of the signal transmission module 5 is connected to the fiber laser 501 and the Raman fiber amplifier 502 in sequence. The fiber laser 501 can adjust the power of the optical pulse sequence carrying information, and the Raman fiber amplifier 502 can increase the capacity and transmission distance of the transmitted information, so that data can be transmitted remotely while ensuring the effect of signal transmission.

[0127] See Figure 3 and Figure 5 It can be seen that the output end of the signal transmission module 5 is connected to the signal preprocessing module 6, the output end of the signal preprocessing module 6 is connected to the signal amplification module 601 and the shaping filter module 602, the input end of the signal transmission module 5 is connected to the output end of the signal compression module 4 through a signal line, the input end of the signal preprocessing module 6 is connected to the output end of the signal transmission module 5 through a signal line, and the signal amplification module 601 can amplify the signal, and the shaping filter module 602 can shape and filter the amplified signal to ensure the smoothness of the signal.

[0128] See Figure 3It can be seen that the output end of the signal processing module 1 is connected to the data backup module 9, and the output end of the data backup module 9 is connected to the cloud storage module 901 and the data storage module 902, and the cloud storage module 901 and the data storage module 902 can be used to store data for subsequent retrieval and use.

[0129] See Figure 3 It can be seen that the output end of the signal preprocessing module 6 is connected to the encryption module 7 through a signal line, and the output end of the encryption module 7 is connected to the digital encryption module 701, the face recognition module 702 and the voice recognition module 703. The output ends of the digital encryption module 701, the face recognition module 702 and the voice recognition module 703 are connected to the input end of the signal processing module 1 through a signal line, and the digital encryption module 701, the face recognition module 702 and the voice recognition module 703 are used to encrypt and protect the information. When obtaining the information processed by the signal preprocessing module 6, it is necessary to decrypt it through multiple verification methods, so as to achieve the protection of the information and prevent the signal from being stolen or interfered with.

[0130] Working principle: When using the railway signal processing system with a data remote transmission structure, the railway signal is collected through the cooperation of the temperature and humidity sensor module 301, the current sensor module 302 and the voltage sensor module 303. At the same time, the collected information is compressed by the signal compression module 4, so that the channel capacity occupied during the information transmission process can be reduced. At the same time, the power of the optical pulse sequence carrying information is adjusted by the fiber laser 501, and the capacity and transmission distance of the transmitted information are increased by the Raman fiber amplifier 502. Thereafter, the signal is amplified by the signal amplification module 601, and the amplified signal is shaped and filtered by the shaping filter module 602. At this time, the signal can be transmitted to the signal processing module 1 for processing, and finally it can be displayed through the control terminal 2.

[0131] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, memory and input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store railway signal data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a railway signal processing method is implemented.

[0132] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0133] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0134] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0135] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0136] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0137] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0138] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0139] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A railway signal processing method, characterized in that: The method comprises: Acquire railway signals of the railway line; the railway signals include current signals, voltage signals, and temperature and humidity signals; the current signals include track circuit return line current signals; the voltage signals include signal power panel output voltage signals; the temperature and humidity signals include contact network insulator surface temperature and humidity signals; compressing the railway signal to obtain a compressed railway signal; Converting the compressed railway signal into a light pulse sequence of corresponding intensity, performing balanced power adjustment on the light pulse sequence through a fiber laser, and performing distributed amplification on the power-adjusted light pulse sequence through a Raman fiber amplifier; Converting the distributed amplified optical pulse sequence into an electrical signal, and performing gain amplification processing on the electrical signal to obtain a gain-amplified electrical signal; Performing shaping and filtering on the gain-amplified electrical signal to obtain a filtered electrical signal; Anomaly detection is performed on the filtered electrical signal to obtain an anomaly detection result.

2. The method according to claim 1, characterized in that The filtered electrical signal is obtained through encryption processing; the method further includes: receiving a decryption operation of decrypting the filtered electrical signal using a target decryption verification method, determining whether decryption information input by the decryption operation is the same as preset decryption information, and determining a number of decryption verification errors; the target decryption verification method including at least one of digital password verification, face recognition, and voice recognition; When the number of decryption verification errors exceeds a preset threshold, the warning module is triggered to issue an alarm prompt; the warning module includes at least one of a buzzer, a warning light and a voice prompt module.

3. The method according to claim 1, characterized in that The method further comprises: Storing the filtered electrical signal in a data storage module; The data cleaning mechanism is triggered according to a preset period; the data cleaning mechanism is used to automatically delete data in the data storage module that exceeds the storage period.

4. The method according to claim 1, wherein The filtered electrical signal includes a filtered current signal and a filtered voltage signal; The performing abnormality detection on the filtered electrical signal to obtain an abnormality detection result includes: In a case where the current value represented by the filtered current signal is greater than a preset track circuit safety current threshold, determining that the abnormality detection result includes a track circuit breakage; In a case where the voltage value represented by the filtered voltage signal is greater than a preset power panel safety threshold, it is determined that the abnormality detection result includes a power panel overvoltage fault.

5. The method according to claim 4, characterized in that The filtered electrical signal also includes a filtered temperature and humidity signal, and the abnormality detection is performed on the filtered electrical signal to obtain an abnormality detection result, including: Inputting the temperature value and humidity value represented by the filtered temperature and humidity signal into the insulator flashover model and outputting the flashover risk value; When the pollution flashover risk value is greater than a preset pollution flashover risk threshold, it is determined that the abnormal detection result includes the presence of insulator pollution flashover risk.

6. The method according to claim 4, characterized in that The filtered electrical signal also includes a filtered temperature and humidity signal, and the method further includes: Determining voltage quality information based on a difference between a voltage value represented by the filtered voltage signal and a preset power supply screen safety threshold; identifying current harmonic components corresponding to the filtered current signal through an FFT spectrum analysis algorithm, and determining current quality information based on the current harmonic components; Analyze the impact of environmental factors on the power supply equipment in combination with the filtered temperature and humidity signals to obtain environmental correlation analysis information; A power supply quality analysis report is generated according to the voltage quality information, the current quality information, and the environment-related analysis information, and the power supply quality analysis report is displayed on a display terminal.

7. A railway signal processing system, characterized in that: The system includes: a signal acquisition module, a signal compression module, a signal transmission module, a signal amplification module, a shaping and filtering module and a signal processing module; The signal acquisition module is used to obtain railway signals of the railway line; the railway signals include current signals, voltage signals and temperature and humidity signals; the current signals include track circuit return line current signals; the voltage signals include signal power panel output voltage signals; the temperature and humidity signals include contact network insulator surface temperature and humidity signals; The signal compression module is used to compress the railway signal to obtain a compressed railway signal; The signal transmission module is used to convert the compressed railway signal into a light pulse sequence of corresponding intensity, perform balanced power adjustment on the light pulse sequence through a fiber laser, and perform distributed amplification on the power-adjusted light pulse sequence through a Raman fiber amplifier; The signal amplification module is used to convert the distributed amplified optical pulse sequence into an electrical signal, and perform gain amplification processing on the electrical signal to obtain a gain-amplified electrical signal; The shaping and filtering module is used to perform shaping and filtering on the gain-amplified electrical signal to obtain a filtered electrical signal; The signal processing module is used to perform abnormality detection on the filtered electrical signal, obtain an abnormality detection result, and display the abnormality detection result.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images