Railway natural disaster monitoring method, device and equipment and readable storage medium

Abstract

The invention provides a railway natural disaster monitoring method, device and equipment and a readable storage medium, and relates to the technical field of railway monitoring, and the method comprises the steps: receiving infrared monitoring information, collected by an infrared beam sensor in real time, of a plurality of monitoring points and video monitoring information, collected by a monitor in real time, of the monitoring points, respectively arranging in key areas along the railway; the infrared monitoring information and the video monitoring information are sent to a data processing device through an encryption algorithm, so that the data processing device analyzes and judges whether foreign matter invasion exists in the monitoring point or not through a time sequence; a judgment result of the data processing equipment is received, and whether an alarm signal is sent out or not is determined according to the judgment result; if an alarm signal needs to be sent out, the alarm signal, the video monitoring information and the infrared monitoring information are sent to a monitoring terminal to be displayed, the system is used for automatically monitoring and alarming foreign matter invasion along the railway, and the safety and reliability of railway transportation are improved.

Description

Technical Field

[0001] The present invention relates to the field of railway monitoring technology, and in particular to a railway natural disaster monitoring method, device, equipment and a readable storage medium. Background Art

[0002] In the field of railway transportation, ensuring the safety of train operation is of vital importance. Natural disasters and foreign body intrusion are one of the main factors affecting railway safety, especially in the context of the rapid development of high-speed railway networks. Traditional railway monitoring methods mainly rely on manual inspections, which is not only inefficient, but also difficult to achieve full coverage and real-time monitoring, resulting in a high risk of missed detection and misjudgment. In recent years, with the advancement of sensing technology and data processing technology, automated railway natural disaster monitoring systems have gradually become a research hotspot. Existing monitoring systems still have deficiencies in data processing and alarm mechanisms. For example, real-time transmission and security issues of data, accurate analysis of monitoring data, rapid identification of foreign body intrusion, and timely issuance of alarm signals are all issues that need to be solved by current technology. Summary of the invention

[0003] The purpose of the present invention is to provide a railway natural disaster monitoring method, device, equipment and readable storage medium to improve the above problems. In order to achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0004] In a first aspect, the present application provides a railway natural disaster monitoring method, comprising:

[0005] Receiving infrared monitoring information of the monitoring points collected in real time by the infrared beam sensor and video monitoring information of the monitoring points collected in real time by the monitor, wherein there are multiple monitoring points which are respectively arranged along the railway;

[0006] The infrared monitoring information and the video monitoring information are sent to the data processing device through an encryption algorithm, so that the data processing device uses time series analysis to determine whether there is foreign body intrusion at the monitoring point;

[0007] receiving a determination result of the data processing device, and determining whether to issue an alarm signal according to the determination result;

[0008] If an alarm signal needs to be issued, the alarm signal, video monitoring information, infrared monitoring information and the like are sent to the monitoring terminal for display.

[0009] In a second aspect, the present application also provides a railway natural disaster monitoring device, comprising:

[0010] Collection module: receiving infrared monitoring information of monitoring points collected in real time by infrared beam sensors and video monitoring information of monitoring points collected in real time by monitors, wherein there are multiple monitoring points, which are arranged along the railway respectively;

[0011] Judgment module: sending the infrared monitoring information and video monitoring information to the data processing device through an encryption algorithm, so that the data processing device uses time series analysis to determine whether there is foreign body intrusion at the monitoring point;

[0012] Receiving module: receiving the judgment result of the data processing device, and confirming whether to issue an alarm signal according to the judgment result;

[0013] Display module: If an alarm signal needs to be issued, the alarm signal, video monitoring information, infrared monitoring information and the like are sent to the monitoring terminal for display.

[0014] In a third aspect, the present application also provides a railway natural disaster monitoring device, comprising:

[0015] Memory for storing computer programs;

[0016] A processor is used to implement the steps of the railway natural disaster monitoring method when executing the computer program.

[0017] In a fourth aspect, the present application further provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned railway natural disaster monitoring method are implemented.

[0018] The beneficial effects of the present invention are:

[0019] The present invention realizes real-time monitoring and automatic alarm of foreign body intrusion along the railway by integrating infrared beam sensors, monitors and data processing equipment. The method adopts time series analysis technology to improve the analysis accuracy of monitoring data, and can intelligently send out alarm signals according to the analysis results, thereby significantly improving the safety and reliability of railway transportation. Through this method, comprehensive monitoring of the environment along the railway can be achieved, and the impact of natural disasters and foreign body intrusion on railway transportation safety can be effectively prevented and reduced.

[0020] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or be understood by implementing the embodiments of the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 It is a schematic diagram of the flow of the railway natural disaster monitoring method described in an embodiment of the present invention;

[0023] Figure 2 Schematic diagram of the structure of the railway natural disaster monitoring device described in an embodiment of the present invention;

[0024] Figure 3 It is a schematic diagram of the structure of the railway natural disaster monitoring equipment described in an embodiment of the present invention.

[0025] Markings in the figure:

[0026] 800. Railway natural disaster monitoring equipment; 801. Processor; 802. Memory; 803. Multimedia component; 804. I / O interface; 805. Communication component. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0028] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0029] Embodiment 1:

[0030] This embodiment provides a railway natural disaster monitoring method.

[0031] See also Figure 1, the figure shows that the method includes:

[0032] S1. Receive infrared monitoring information collected by the infrared beam sensor in real time at the monitoring point and video monitoring information collected by the monitor in real time at the monitoring point, wherein there are multiple monitoring points arranged along the railway;

[0033] Specifically, the step S1 includes:

[0034] S11. Set corresponding infrared beam sensors at multiple monitoring points along the railway, adjust the distance between the infrared beam sensor and the railway, and obtain the monitoring area of ​​each infrared beam sensor;

[0035] S12. Compare the monitoring areas of two adjacent infrared beam sensors to determine whether the overlapping monitoring area is larger than the first preset range:

[0036] S13. If yes, then readjust the monitoring area of ​​the infrared beam sensor until the monitoring areas of any two adjacent infrared beam sensors are smaller than the first preset range;

[0037] In this embodiment, the monitoring area of ​​each infrared beam sensor is adjusted by adjusting the distance between the infrared beam sensor and the railway. In order to ensure the continuity and overlapping coverage of monitoring, the monitoring areas of adjacent infrared beam sensors are compared in this embodiment to ensure that there is an overlapping monitoring area between any two adjacent infrared beam sensors, and the overlapping monitoring area is smaller than the first preset range. Preferably, the first range value is 10% of the monitoring range of any infrared beam sensor.

[0038] S14. Start a self-test program to detect whether the performance indicators of the infrared beam sensor hardware components meet the preset standards;

[0039] S15. If the test result does not meet the preset standard, based on the preset calibration curve, the calibration algorithm is used to adjust the parameters of the infrared beam sensor to meet the preset standard;

[0040] In this embodiment, the infrared beam sensor has a self-test function. When the system is started, the infrared beam sensor at each monitoring point automatically executes a built-in self-test program, including a comprehensive performance test of the key hardware components of the infrared beam sensor, such as the transmitter, receiver, signal processor, and power module. If the beam intensity of the transmitter is insufficient, its transmission power is automatically adjusted until the required beam intensity is reached. If the receiver sensitivity is not enough, its gain setting is automatically adjusted to improve the detection capability of the reflected beam.

[0041] S16. The adjusted infrared beam sensor collects infrared monitoring information of the monitoring point in real time.

[0042] Specifically, the step S1 further includes:

[0043] S17. Set corresponding monitors at multiple monitoring points along the railway, adjust the distance between the monitor and the railway, and obtain the monitoring area of ​​each monitor;

[0044] S18. Compare the monitoring area of ​​the monitor and the infrared beam sensor at the same monitoring point to determine whether the overlapping monitoring area is larger than the second preset range:

[0045] S19. If so, readjust the monitoring area of ​​the monitor until the monitoring area of ​​the monitor and the infrared beam sensor is larger than the second preset range;

[0046] In this embodiment, the monitoring areas of the monitor and the infrared beam sensor at the same monitoring point are compared to evaluate the overlap between the two. Preferably, the overlapped monitoring area between the monitor and the infrared beam sensor is greater than the second preset range, that is, more than 80%.

[0047] Based on the above embodiments, the method further includes:

[0048] S2. The infrared monitoring information and video monitoring information are sent to the data processing device through an encryption algorithm, so that the data processing device uses time series analysis to determine whether there is a foreign body intrusion at the monitoring point;

[0049] Specifically, step S2 includes:

[0050] S21. compress and encapsulate the infrared monitoring information and video monitoring information into JSON format;

[0051] Specifically, the infrared monitoring information and the video monitoring information are preprocessed to reduce invalid or redundant information. At the same time, a data compression algorithm (such as Huffman coding or DEFLATE) is used to reduce the size of the data to optimize the use of network bandwidth.

[0052] S22. Use an encryption algorithm to generate a key, encrypted data, and a checksum of the encrypted data (such as HMAC or SHA-256) to verify whether the data has been tampered with during transmission.

[0053] Preferably, the encryption algorithm may be AES-256, and a key randomly generated by the encryption algorithm is used to encrypt and decrypt data. The key is shared with the data processing device via a secure key exchange protocol (such as Diffie-Hellman).

[0054] S23. The encrypted data is transmitted to the data processing device through the communication channel. The processing device verifies the integrity of the encrypted data through the check value and decrypts the encrypted data using the key.

[0055] Specifically, the step S2 further includes:

[0056] S24. Convert the infrared monitoring information and video monitoring information of each monitoring point into time series data, and generate a corresponding data stream from the time series data of each monitoring point;

[0057] In this embodiment, the infrared monitoring information or the video monitoring information is arranged in chronological order to form continuous time series data, and for each monitoring point, a corresponding time series data stream is generated for subsequent feature extraction and anomaly detection.

[0058] S25. Extract signal features from time series data and use moving average method or Fourier transform method to identify periodicity and trend in signal features;

[0059] Specifically, statistical methods, such as the moving average method, are applied to smooth the time series data to reduce the impact of random fluctuations and highlight the long-term trend of the data. Alternatively, the Fourier transform method is used to convert the time series data from the time domain to the frequency domain, extract the main frequency components, and identify the periodicity in the data.

[0060] S26. Compare the periodicity and trend of the signal characteristics with the established baseline model. If there is an abnormality in the signal characteristics, it indicates the presence of foreign body intrusion.

[0061] Specifically, step S26 includes:

[0062] S261: Acquire time series data features of monitoring points under normal conditions, and establish a baseline model according to the time series data features;

[0063] S262: Compare the periodicity and trend of the signal characteristics with the baseline model to determine whether there is an anomaly;

[0064] S263: If the periodicity or trend of the signal feature is different from the baseline model, the difference is marked as a potential foreign body intrusion event.

[0065] Based on the above embodiments, the method further includes:

[0066] S3. Receive the judgment result of the data processing device, and confirm whether to issue an alarm signal according to the judgment result;

[0067] Specifically, step S3 includes:

[0068] If the number of foreign body intrusion judgments received within the preset time period is less than 10 times, an alarm signal with a light on will be issued;

[0069] Preferably, the preset time period can be 15 seconds. If there are less than 10 foreign objects intruding within one minute, it may be that the foreign objects are passing by or staying for a short time, and a light warning can be used.

[0070] If the number of foreign body intrusion judgments received within the preset time period exceeds 10, an alarm signal with a beep will be issued, requiring the operator to immediately confirm the situation and take appropriate measures. At the same time as the alarm signal is issued, the alarm event is automatically recorded, including the alarm type, time and duration, for subsequent review and analysis.

[0071] Based on the above embodiments, the method further includes:

[0072] S4. If an alarm signal is required, the alarm signal, video monitoring information, infrared monitoring information and sent to the monitoring terminal for display;

[0073] Specifically, the alarm signal displayed by the monitoring terminal identifies the type of alarm information, such as "foreign object intrusion". The video monitoring information includes the video stream or key video frame when the alarm occurs, which is used to intuitively display the situation at the alarm site. The infrared monitoring information includes the infrared beam sensor data when the alarm occurs, which is used to provide information such as the temperature of the alarm area and the size of the object.

[0074] Embodiment 2:

[0075] like Figure 2 As shown, this embodiment provides a railway natural disaster monitoring device, the device comprising:

[0076] Collection module: receiving infrared monitoring information of monitoring points collected in real time by infrared beam sensors and video monitoring information of monitoring points collected in real time by monitors, wherein there are multiple monitoring points, which are arranged along the railway respectively;

[0077] Judgment module: sending the infrared monitoring information and video monitoring information to the data processing device through an encryption algorithm, so that the data processing device uses time series analysis to determine whether there is foreign body intrusion at the monitoring point;

[0078] Receiving module: receiving the judgment result of the data processing device, and confirming whether to issue an alarm signal according to the judgment result;

[0079] Display module: If an alarm signal needs to be issued, the alarm signal, video monitoring information, infrared monitoring information and the like are sent to the monitoring terminal for display.

[0080] Based on the above embodiment, the acquisition module includes:

[0081] The first deployment unit: setting corresponding infrared beam sensors at multiple monitoring points along the railway, adjusting the distance between the infrared beam sensors and the railway, and obtaining the monitoring area of ​​each infrared beam sensor;

[0082] The first comparison unit: compares the monitoring areas of two adjacent infrared beam sensors to determine whether the overlapping monitoring area is larger than the first preset range:

[0083] The first adjustment unit: if yes, readjust the monitoring area of ​​the infrared beam sensor until the monitoring areas of any two adjacent infrared beam sensors are smaller than the first preset range;

[0084] Self-test unit: Starts the self-test program to detect whether the performance indicators of the infrared beam sensor hardware components meet the preset standards;

[0085] The second adjustment unit: if the detection result does not meet the preset standard, the parameters of the infrared beam sensor are adjusted by using a verification algorithm based on a preset verification curve to meet the preset standard;

[0086] Collection unit: The adjusted infrared beam sensor collects the infrared monitoring information of the monitoring point in real time.

[0087] Based on the above embodiment, the acquisition module further includes:

[0088] The second deployment unit: setting corresponding monitors at multiple monitoring points along the railway, adjusting the distance between the monitors and the railway, and obtaining the monitoring area of ​​each monitor;

[0089] The second comparison unit: compares the monitoring area of ​​the monitor and the infrared beam sensor at the same monitoring point to determine whether the overlapping monitoring area is larger than the second preset range:

[0090] The third adjustment unit: If yes, readjust the monitoring area of ​​the monitor until the monitoring area of ​​the monitor and the infrared beam sensor is larger than the second preset range.

[0091] Based on the above embodiment, the judgment module includes:

[0092] Encapsulation unit: compresses and encapsulates infrared monitoring information and video monitoring information into JSON format;

[0093] Encryption unit: uses encryption algorithm to generate keys, encrypted data and encrypted data check values;

[0094] Decryption unit: The encrypted data is transmitted to the data processing device through the communication channel. The processing device verifies the integrity of the encrypted data through the check value and decrypts the encrypted data using the key.

[0095] Based on the above embodiment, the judgment module further includes:

[0096] Data conversion unit: converts the infrared monitoring information and video monitoring information of each monitoring point into time series data, and generates corresponding data streams from the time series data of each monitoring point;

[0097] Feature extraction unit: extracts signal features from time series data and uses moving average method or Fourier transform method to identify periodicity and trend in signal features;

[0098] Comparison unit: compares the periodicity and trend of the signal features with the established baseline model. If there is an abnormality in the signal features, it indicates the presence of foreign body intrusion.

[0099] Based on the above embodiment, the receiving module includes:

[0100] First alarm unit: if the number of foreign body intrusion judgment results received within a preset time period is less than 10 times, an alarm signal with a light on will be issued;

[0101] Second alarm unit: If the foreign body intrusion judgment result is received more than 10 times within the preset time period, an alarm signal with a warning sound will be issued.

[0102] It should be noted that, regarding the device in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment of the method, and will not be elaborated here.

[0103] Embodiment 3:

[0104] Corresponding to the above method embodiment, this embodiment further provides a railway natural disaster monitoring device. The railway natural disaster monitoring device described below and the railway natural disaster monitoring method described above can refer to each other.

[0105] Figure 3 FIG. 8 is a block diagram of a railway natural disaster monitoring device 800 according to an exemplary embodiment. Figure 3 As shown, the railway natural disaster monitoring device 800 may include: a processor 801 and a memory 802. The railway natural disaster monitoring device 800 may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0106] The processor 801 is used to control the overall operation of the railway natural disaster monitoring device 800 to complete all or part of the steps in the above-mentioned railway natural disaster monitoring method. The memory 802 is used to store various types of data to support the operation of the railway natural disaster monitoring device 800, and these data may include, for example, instructions for any application or method operating on the railway natural disaster monitoring device 800, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 802 or sent via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the railway natural disaster monitoring device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 805 can include: Wi-Fi module, Bluetooth module, NFC module.

[0107] In an exemplary embodiment, the railway natural disaster monitoring device 800 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned railway natural disaster monitoring method.

[0108] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned railway natural disaster monitoring method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 802 including program instructions, and the above-mentioned program instructions can be executed by the processor 801 of the railway natural disaster monitoring device 800 to complete the above-mentioned railway natural disaster monitoring method.

[0109] Embodiment 4:

[0110] Corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment. The readable storage medium described below and the railway natural disaster monitoring method described above can refer to each other.

[0111] A readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the railway natural disaster monitoring method of the above method embodiment.

[0112] The readable storage medium may specifically be a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or other readable storage medium that can store program codes.

[0113] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0114] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A railway natural disaster monitoring method, characterized in that: include: Receiving infrared monitoring information of the monitoring points collected in real time by the infrared beam sensor and video monitoring information of the monitoring points collected in real time by the monitor, wherein there are multiple monitoring points which are respectively arranged along the railway; The infrared monitoring information and the video monitoring information are sent to the data processing device through an encryption algorithm, so that the data processing device uses time series analysis to determine whether there is foreign body intrusion at the monitoring point; receiving a determination result of the data processing device, and determining whether to issue an alarm signal according to the determination result; If an alarm signal needs to be issued, the alarm signal, video monitoring information, infrared monitoring information and the like are sent to the monitoring terminal for display.

2. The railway natural disaster monitoring method according to claim 1, characterized in that , receiving infrared monitoring information of monitoring points collected in real time by infrared beam sensors, including: Corresponding infrared beam sensors are set at multiple monitoring points along the railway, the distance between the infrared beam sensors and the railway is adjusted, and the monitoring area of ​​each infrared beam sensor is obtained; Compare the monitoring areas of two adjacent infrared beam sensors to determine whether the overlapping monitoring area is larger than the first preset range: If yes, readjust the monitoring area of ​​the infrared beam sensor until the monitoring areas of any two adjacent infrared beam sensors are smaller than the first preset range; Start the self-test program to detect whether the performance indicators of the infrared beam sensor hardware components meet the preset standards; If the detection result does not meet the preset standard, the parameters of the infrared beam sensor are adjusted using a calibration algorithm based on a preset calibration curve to meet the preset standard; The infrared monitoring information of the monitoring point is collected in real time by the adjusted infrared beam sensor.

3. The railway natural disaster monitoring method according to claim 2, characterized in that , receiving the video monitoring information of the monitoring point collected by the monitor in real time, including: Set up corresponding monitors at multiple monitoring points along the railway, adjust the distance between the monitors and the railway, and obtain the monitoring area of ​​each monitor; Compare the monitoring areas of the monitor and infrared beam sensor at the same monitoring point to determine whether the overlapping monitoring areas are larger than the second preset range: If so, the monitoring area of ​​the monitor is readjusted until the monitoring area of ​​the monitor and the infrared beam sensor is larger than the second preset range.

4. The railway natural disaster monitoring method according to claim 1, characterized in that , sending the infrared monitoring information and the video monitoring information to the data processing device through an encryption algorithm, including: Compress infrared monitoring information and video monitoring information and encapsulate them into JSON format; Using an encryption algorithm to generate a key, encrypted data, and a check value for the encrypted data; The encrypted data is transmitted to the data processing device through the communication channel. The processing device verifies the integrity of the encrypted data through the check value and decrypts the encrypted data using the key.

5. A railway natural disaster monitoring device, characterized in that: include: Collection module: receiving infrared monitoring information of monitoring points collected in real time by infrared beam sensors and video monitoring information of monitoring points collected in real time by monitors, wherein there are multiple monitoring points, which are arranged along the railway respectively; Judgment module: sending the infrared monitoring information and video monitoring information to the data processing device through an encryption algorithm, so that the data processing device uses time series analysis to determine whether there is foreign body intrusion at the monitoring point; Receiving module: receiving the judgment result of the data processing device, and confirming whether to issue an alarm signal according to the judgment result; Display module: If an alarm signal needs to be issued, the alarm signal, video monitoring information, infrared monitoring information and the like are sent to the monitoring terminal for display.

6. The railway natural disaster monitoring device according to claim 5, characterized in that: The acquisition module comprises: The first deployment unit: setting corresponding infrared beam sensors at multiple monitoring points along the railway, adjusting the distance between the infrared beam sensors and the railway, and obtaining the monitoring area of ​​each infrared beam sensor; The first comparison unit compares the monitoring areas of two adjacent infrared beam sensors to determine whether the overlapping monitoring area is larger than a first preset range: The first adjustment unit: if yes, readjust the monitoring area of ​​the infrared beam sensor until the monitoring areas of any two adjacent infrared beam sensors are smaller than the first preset range; Self-test unit: Starts the self-test program to detect whether the performance indicators of the infrared beam sensor hardware components meet the preset standards; The second adjustment unit: if the detection result does not meet the preset standard, the parameters of the infrared beam sensor are adjusted by using a verification algorithm based on a preset verification curve to meet the preset standard; Collection unit: The adjusted infrared beam sensor collects the infrared monitoring information of the monitoring point in real time.

7. The railway natural disaster monitoring device according to claim 6, characterized in that: The acquisition module also includes: The second deployment unit: setting corresponding monitors at multiple monitoring points along the railway, adjusting the distance between the monitors and the railway, and obtaining the monitoring area of ​​each monitor; The second comparison unit: compares the monitoring area of ​​the monitor and the infrared beam sensor at the same monitoring point to determine whether the overlapping monitoring area is larger than the second preset range: The third adjustment unit: If yes, readjust the monitoring area of ​​the monitor until the monitoring area of ​​the monitor and the infrared beam sensor is larger than the second preset range.

8. The railway natural disaster monitoring device according to claim 5, characterized in that: The judging module comprises: Encapsulation unit: compresses and encapsulates infrared monitoring information and video monitoring information into JSON format; Encryption unit: uses encryption algorithm to generate keys, encrypted data and encrypted data check values; Decryption unit: The encrypted data is transmitted to the data processing device through the communication channel. The processing device verifies the integrity of the encrypted data through the check value and decrypts the encrypted data using the key.

9. A railway natural disaster monitoring device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the railway natural disaster monitoring method as claimed in any one of claims 1 to 4 when executing the computer program.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the railway natural disaster monitoring method according to any one of claims 1 to 4.

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