Multi-parameter abnormity monitoring method, system and equipment for rail fence and medium

Abstract

The invention provides a rail fence multi-parameter abnormity monitoring method, system and device and a medium, and the method comprises the steps: arranging a vibration sensing unit, a stress sensing unit and a temperature sensing unit on a monitoring fence and in a channel, and sensing abnormal changes; the sensed abnormal change is converted into a vibration optical signal, a stress optical signal and a temperature optical signal; respectively demodulating the vibration optical signal, the stress optical signal and the temperature optical signal to obtain vibration data, stress data and temperature data; and performing multi-dimensional analysis on the vibration data, the stress data and the temperature data, and judging the type of the abnormal change according to an analysis result. According to the invention, fine monitoring is carried out on the rail fence from multiple levels of vibration, stress and temperature, perimeter intrusion appearing near the rail can be identified and judged timely and accurately, and threat of intrusion behaviors to driving safety of the rail is avoided.

Description

Technical Field

[0001] The present invention relates to the field of railway safety monitoring, and in particular to a multi-parameter abnormality monitoring method, system, equipment and medium for railway rail fences. Background Art

[0002] In recent years, my country's railway industry has developed rapidly, especially high-speed rail, passenger dedicated lines, freight, etc., which have played an important role in people's daily lives. However, railway lines cover a wide range and often need to pass through geologically unstable areas and extreme weather areas. In this scenario, perimeter intrusions and natural disasters are prone to occur, causing economic losses to the line and endangering people's lives. Therefore, anomaly monitoring has important safety and economic significance in the railway transportation system.

[0003] However, in the existing technology, abnormal monitoring relies on manual real-time monitoring or only monitoring through separate sensors, which not only consumes human resources and has high costs, but also has insufficient monitoring accuracy, cannot effectively filter out interference, cannot accurately identify the type of abnormal changes, and cannot be handled in a timely manner, which can easily cause safety hazards to train operation. Summary of the invention

[0004] The present invention provides a multi-parameter abnormality monitoring method, system, equipment and medium for rail fences, which solves the problem that abnormality monitoring in the prior art relies on manual real-time monitoring or only monitors through a separate sensor, which not only consumes human resources and has high costs, but also has insufficient monitoring accuracy, cannot effectively filter out interference, cannot accurately identify the type of abnormal changes, and is not handled in a timely manner, which easily causes safety hazards to train travel.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is to provide a multi-parameter abnormality monitoring method for a rail fence, comprising the steps of: setting a vibration sensing unit, a stress sensing unit and a temperature sensing unit on the monitoring fence and in the groove to sense abnormal changes; converting the sensed abnormal changes into vibration light signals, stress light signals and temperature light signals respectively; demodulating the vibration light signals, stress light signals and temperature light signals respectively to obtain vibration data, stress data and temperature data; multi-dimensionally analyzing the vibration data, stress data and temperature data, and judging the type of the abnormal change according to the analysis results.

[0006] In some embodiments, the step of converting the perceived abnormal changes into vibration light signals, stress light signals and temperature light signals respectively specifically includes: the vibration sensing unit converts the mechanical vibration caused by the perceived abnormal changes into the vibration light signal; the stress sensing unit converts the stress caused by the perceived abnormal changes into the stress light signal; the temperature sensing unit converts the temperature difference caused by the perceived abnormal changes into the temperature light signal; and the vibration light signal, stress light signal and temperature light signal are transmitted to the corresponding optical fiber monitoring host.

[0007] In some embodiments, the vibration data includes vibration position and vibration intensity, the stress data includes strain position and strain amount, and the temperature data includes temperature change position and temperature value; in the multi-dimensional analysis of the vibration data, stress data and temperature data, and the step of judging the type of the abnormal change according to the analysis result, specifically includes: analyzing the vibration data of the monitoring fence, and after determining that the vibration intensity reaches a first vibration preset value, judging whether the vibration duration reaches a first vibration threshold; if the vibration duration reaches the first vibration threshold, analyzing the stress data of the monitoring fence; if the strain amount does not reach the first strain preset value, and / or the strain duration does not reach the first strain threshold, it means that the monitoring fence perceives an interference change.

[0008] In some embodiments, the types of interference changes include wind interference and rain interference; after the step of indicating that the monitoring fence senses interference changes, the step also includes: analyzing the temperature data, and if the unit change in the temperature value does not reach the first temperature threshold, then determining that the type of interference change sensed by the monitoring fence is the wind interference; if the unit change in the temperature value reaches the first temperature threshold, and the position error between the vibration position in the vibration data and the temperature change position in the temperature data is less than the first position detection threshold, then determining that the type of interference change sensed by the monitoring fence is the rain interference.

[0009] In some embodiments, the types of abnormal changes include intrusion events and abnormal temperature rises; in the step of multi-dimensionally analyzing the vibration data, stress data and temperature data and judging the type of the abnormal change based on the analysis results, the steps are also included: analyzing the vibration data of the monitoring fence to determine that the vibration intensity reaches the first vibration preset value and the vibration duration reaches the first vibration threshold, and then analyzing the stress data of the monitoring fence; if the strain reaches the first strain preset value and the strain duration reaches the first strain threshold, then judging that the type of the abnormal change perceived by the monitoring fence is the intrusion event; analyzing the vibration data of the slot to determine that the vibration intensity reaches the first vibration preset value and the vibration duration reaches the first vibration threshold, then judging that the type of the abnormal change perceived by the slot is the intrusion event.

[0010] In some embodiments, the intrusion event includes abnormal vibration and perimeter intrusion; if the types of the abnormal changes sensed by the monitoring fence and the channel are both intrusion events, the position error between the vibration position in the vibration data of the monitoring fence and the vibration position in the vibration data of the channel is calculated; if the position error is less than a second position detection threshold, the time error between the vibration duration in the vibration data of the monitoring fence and the vibration duration in the vibration data of the channel is calculated, and if the time error is less than a first time detection threshold, the intrusion event sensed by the monitoring fence and the channel is determined to be the perimeter intrusion; or, if the type of the abnormal change sensed by the monitoring fence is the intrusion event, an intrusion event is detected and the slot does not detect the intrusion event, then the intrusion event detected by the monitoring fence is judged to be the abnormal vibration; or, if the types of the abnormal changes detected by the monitoring fence and the slot are both the intrusion events, then the position error between the vibration position in the vibration data of the monitoring fence and the vibration position in the vibration data of the slot is calculated, and the time error between the vibration duration in the vibration data of the monitoring fence and the vibration duration in the vibration data of the slot is calculated; if the position error is greater than the second position detection threshold and / or the time error is greater than the first time detection threshold, then the intrusion event detected by the monitoring fence and the slot is judged to be the abnormal vibration.

[0011] In some embodiments, the temperature data of the monitoring fence and / or the channel is analyzed, and if the unit change of the temperature value reaches a second temperature threshold, it is determined that the type of abnormal change sensed by the monitoring fence and / or the channel is the abnormal temperature rise.

[0012] The present invention also provides a multi-parameter anomaly monitoring system for a rail fence, comprising a monitoring fence, a groove, an optical fiber monitoring host, and a vibration sensing unit, a stress sensing unit and a temperature sensing unit arranged in parallel on the monitoring fence and in the groove; the vibration sensing unit comprises a first vibration monitoring part, a vibration connecting part and a second vibration monitoring part connected in sequence; the stress sensing unit comprises a first stress monitoring part, a stress connecting part and a second stress monitoring part connected in sequence; the temperature sensing unit comprises a first temperature monitoring part, a temperature connecting part and a second temperature monitoring part connected in sequence; the first vibration monitoring part, the first stress monitoring part and the first temperature monitoring part are also connected to the optical fiber monitoring host respectively; the first vibration monitoring part, the first stress monitoring part and the first temperature monitoring part are also connected to the optical fiber monitoring host respectively; the first vibration monitoring part, the first stress The monitoring part and the first temperature monitoring part are parallel to each other, and are both arranged on the monitoring fence in the form of sine or cosine curves; the second vibration monitoring part, the second stress monitoring part and the second temperature monitoring part are arranged in parallel with each other in the groove; the vibration sensing unit, the stress sensing unit and the temperature sensing unit are used to sense abnormal changes, and convert the abnormal changes into vibration light signals, stress light signals and temperature light signals respectively, and transmit them to the optical fiber monitoring host; the optical fiber monitoring host is used to demodulate the vibration light signals, stress light signals and temperature light signals to obtain vibration data, stress data and temperature data; the optical fiber monitoring host is also used to multi-dimensionally analyze the vibration data, stress data and temperature data, and judge the type of the abnormal change according to the analysis results.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method when executing the computer program.

[0014] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described above are implemented.

[0015] The beneficial effects of the present invention are as follows: the present invention discloses a multi-parameter abnormality monitoring method, system, equipment and medium for rail fences, the method comprising the steps of: setting a vibration sensing unit, a stress sensing unit and a temperature sensing unit on the monitoring fence and in the groove to sense abnormal changes; converting the sensed abnormal changes into vibration light signals, stress light signals and temperature light signals respectively; demodulating the vibration light signals, stress light signals and temperature light signals respectively to obtain vibration data, stress data and temperature data; multi-dimensionally analyzing the vibration data, stress data and temperature data, and judging the type of abnormal changes according to the analysis results. The present application performs fine monitoring of rail fences from multiple levels of vibration, stress and temperature, and can timely and accurately identify and judge perimeter intrusions near the rails, avoiding threats to the driving safety of the rails caused by intrusions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of a multi-parameter anomaly monitoring method for a rail fence provided by the present application; Figure 2 It is a schematic diagram of the composition of a multi-parameter anomaly monitoring system for a rail fence provided by the present application; Figure 3 It is a schematic diagram of monitoring vibration data of wind disturbance of a fence in a multi-parameter anomaly monitoring method of a rail fence provided by the present application; Figure 4 It is a schematic diagram of monitoring vibration data of rain interference of a fence in a multi-parameter anomaly monitoring method of a rail fence provided by the present application; Figure 5 It is a schematic diagram of temperature data of rain interference on a rail fence in a multi-parameter anomaly monitoring method for a rail fence provided by the present application; Figure 6 It is a schematic diagram of vibration data for monitoring perimeter intrusion of a rail fence in a multi-parameter anomaly monitoring method for a rail fence provided in the present application; Figure 7 It is a schematic diagram of stress data for monitoring perimeter intrusion of a rail fence in a multi-parameter anomaly monitoring method for a rail fence provided in the present application; Figure 8 It is a schematic diagram of vibration data of perimeter intrusion of a slot in a multi-parameter anomaly monitoring method for a rail fence provided by the present application; Fig. 9 It is a schematic diagram of temperature data of abnormal temperature rise in a multi-parameter abnormal monitoring method for a rail fence provided by the present application; Fig.10 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present application; Fig.11 It is a schematic block diagram of an embodiment of a computer-readable storage medium of the present application. DETAILED DESCRIPTION

[0017] In order to facilitate the understanding of the present invention, the present invention is described in more detail below in conjunction with the accompanying drawings and specific embodiments. Preferred embodiments of the present invention are provided in the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0018] It should be noted that, unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this specification includes any and all combinations of one or more related listed items.

[0019] Figure 1 The flowchart of the implementation of the multi-parameter abnormality monitoring method for rail fences provided by the present application is shown, including the steps of: S1: Vibration sensing units, stress sensing units and temperature sensing units are set on the monitoring fence and in the channel to sense abnormal changes.

[0020] S2: Convert the perceived abnormal changes into vibration light signals, stress light signals and temperature light signals respectively.

[0021] S3: demodulate the vibration optical signal, stress optical signal and temperature optical signal respectively to obtain vibration data, stress data and temperature data.

[0022] S4: Analyze vibration data, stress data and temperature data in multiple dimensions, and determine the type of abnormal change based on the analysis results.

[0023] This application conducts detailed monitoring of rail fences from multiple levels of vibration, stress and temperature, and can timely and accurately identify and determine perimeter intrusions near the rails, thereby preventing intrusions from posing a threat to the safety of rail traffic.

[0024] Combine the following Figures 1 to 11 , this application is described in detail with specific embodiments.

[0025] like Figure 1 As shown, the multi-parameter abnormality monitoring method for rail fences provided in the embodiment of the present application is described in detail as follows: S1: Vibration sensing units, stress sensing units and temperature sensing units are set on the monitoring fence and in the channel to sense abnormal changes.

[0026] The vibration sensing unit 4, the stress sensing unit 5 and the temperature sensing unit 6 are arranged as follows: Figure 2As shown. Specifically, the vibration sensing unit 4, the stress sensing unit 5 and the temperature sensing unit 6 are arranged parallel to each other on the monitoring fence 1 and in the groove 2. The monitoring fence 1 is arranged on both sides of the railway track, the groove 2 is arranged close to both sides of the railway track, and is located between the railway track and the monitoring fence 1, and cables are installed and laid in the groove 2. The length, direction and curvature of the vibration sensing unit 4, the stress sensing unit 5 and the temperature sensing unit 6 are all consistent, and their fixing methods are all clamps or flame-retardant wires. The vibration sensing unit 4, the stress sensing unit 5 and the temperature sensing unit 6 are used to sense abnormal changes on the monitoring fence 1 and inside and outside the groove 2; the vibration sensing unit 4, the stress sensing unit 5 and the temperature sensing unit 6 arranged in the groove 2 are also used to sense the status of the cable inside the groove 2 at all times.

[0027] In this embodiment, the vibration sensing unit 4 includes a first vibration monitoring part 41, a vibration connecting part 42 and a second vibration monitoring part 43 connected in sequence; the stress sensing unit 5 includes a first stress monitoring part 51, a stress connecting part 52 and a second stress monitoring part 53 connected in sequence; the temperature sensing unit 6 includes a first temperature monitoring part 61, a temperature connecting part 62 and a second temperature monitoring part 63 connected in sequence.

[0028] Among them, the first vibration monitoring part 41, the first stress monitoring part 51 and the first temperature monitoring part 61 are also respectively connected to the optical fiber monitoring host 3. The first vibration monitoring part 41, the first stress monitoring part 51 and the first temperature monitoring part 61 are parallel to each other and are all arranged on the monitoring fence 1 in a sine or cosine curve. The second vibration monitoring part 43, the second stress monitoring part 53 and the second temperature monitoring part 63 are arranged in parallel with each other in the groove 2.

[0029] S2: Convert the perceived abnormal changes into vibration light signals, stress light signals and temperature light signals respectively.

[0030] Combination Figure 2 The vibration sensing unit 4, the stress sensing unit 5 and the temperature sensing unit 6 convert the sensed abnormal changes into vibration optical signals, stress optical signals and temperature optical signals respectively, and transmit them to the optical fiber monitoring host 3.

[0031] Specifically, the vibration sensing unit 4 converts the mechanical vibration caused by the perceived abnormal change into a vibration light signal; the stress sensing unit 5 converts the stress caused by the perceived abnormal change into a stress light signal; the temperature sensing unit 6 converts the temperature difference caused by the perceived abnormal change into a temperature light signal; the vibration sensing unit 4, the stress sensing unit 5 and the temperature sensing unit 6 transmit the vibration light signal, the stress light signal and the temperature light signal to the corresponding optical fiber monitoring host 3.

[0032] S3: demodulate the vibration optical signal, stress optical signal and temperature optical signal respectively to obtain vibration data, stress data and temperature data.

[0033] Specific, combined Figure 2 As shown, the optical fiber monitoring host 3 is used to demodulate the received vibration optical signal, stress optical signal and temperature optical signal to obtain vibration data, stress data and temperature data.

[0034] S4: Analyze vibration data, stress data and temperature data in multiple dimensions, and determine the type of abnormal change based on the analysis results.

[0035] like Figure 2 As shown, the optical fiber monitoring host 3 performs multi-dimensional analysis on the obtained vibration data, stress data and temperature data, and determines the type of abnormal change based on the analysis results.

[0036] In this embodiment, there are two main types of changes in the monitoring fence 1 and the channel 2 caused by the outside world, one is interference changes, and the other is abnormal changes. Interference changes are normal phenomena and have no effect on the normal operation of trains on the railway tracks, while abnormal changes will cause changes in the running environment of the trains, which may seriously threaten driving safety. The purpose of this application is to accurately detect abnormal changes and take corresponding remedial measures in a timely manner to effectively ensure the driving safety of trains on the rails in the monitoring fence 1.

[0037] Among them, the types of interference changes include wind interference and rain interference. The types of abnormal changes include intrusion events and abnormal temperature rise. Intrusion events include abnormal vibration and perimeter intrusion. Wind interference means that when strong winds occur, the monitoring fence 1 is blown and shakes slightly and vibrates; rain interference means that when it rains, the monitoring fence 1 and the trough 2 are hit by falling raindrops and vibrate. The rainfall also causes the temperature to drop, resulting in a local temperature difference. An intrusion event refers to an external intrusion (such as climbing, crossing, falling rocks, etc.) on the monitoring fence 1 or the trough 2, which causes the monitoring fence 1 to shake, tilt, fall, etc., which will seriously affect the normal operation of the train inside the monitoring fence 1. Abnormal temperature rise usually refers to an abnormality in the cable in the trough 2 (line damage, etc.), which causes a sharp rise in local temperature and damage to the cable, further affecting the power supply and communication of the train.

[0038] In this embodiment, the vibration data includes the vibration position and vibration intensity, the stress data includes the strain position and strain amount, and the temperature data includes the temperature change position and temperature value. The vibration position is the specific position range of the monitoring fence 1 and the groove 2 when vibrating as sensed by the vibration sensing unit 4, and the vibration intensity is an expression of the severity of the vibration when the vibration occurs. The strain position is the specific position range of the monitoring fence 1 and the groove 2 when subjected to stress as sensed by the stress sensing unit 5, and the strain amount is an expression of the change in stress when stress is generated. The temperature change position is the specific position range of the monitoring fence 1 and the groove 2 when the temperature changes as sensed by the temperature sensing unit 6, and the temperature value is a record of the specific temperature conditions when the temperature change occurs.

[0039] In this embodiment, the specific steps of multidimensional analysis include: First, analyze the vibration data of the monitoring fence, determine whether the vibration intensity reaches the first vibration preset value, and then determine whether the vibration duration reaches the first vibration threshold. If the vibration duration reaches the first vibration threshold, analyze the stress data of the monitoring fence. Further analyze the stress data. If the strain amount does not reach the first strain preset value, and / or the strain duration does not reach the first strain threshold, it means that the monitoring fence 1 senses interference changes (i.e. wind interference or rain interference, such as Figures 3 to 5 as shown).

[0040] Furthermore, in order to determine the specific type of interference change, further analysis is required, and the steps are as follows: The temperature data is analyzed, and if the unit change of the temperature value does not reach the first temperature threshold, it is determined that the type of interference change sensed by the monitoring fence 1 is wind interference.

[0041] Figure 3 The vibration data shown here are the disturbance types of wind disturbance. Figure 3 It can be seen that the vibration interference caused by the wind phenomenon occurs at the monitoring fence 1 about 180 meters away from the beginning, and the vibration intensity is in the range of (0.6, 1.6), and the vibration duration is more than 200 seconds.

[0042] Furthermore, if the unit change of the temperature value reaches the first temperature threshold, and the position error between the vibration position in the vibration data and the temperature change position in the temperature data is less than the first position detection threshold, then the type of interference change perceived by the monitoring fence 1 is judged to be rain interference.

[0043] Figure 4 , Figure 5 The following are the vibration data and temperature data when the disturbance type is rain disturbance. Figure 4It can be seen from the figure that the vibration interference caused by rainfall occurs at the monitoring fence 1, which is about 182 to 185 meters away from the beginning, and the vibration intensity is in the range of (0.2, 0.8), and the vibration duration is more than 100 seconds. Figure 5 It can be seen that at the monitoring fence 1, about 183 meters away from the beginning, the temperature value suddenly changes. This is caused by the temperature drop caused by raindrops falling at the corresponding position, and the current normal temperature is around 20℃.

[0044] The above process is a specific step for identifying interference changes. Further, multi-dimensional data analysis can be used to identify specific patterns of abnormal changes.

[0045] First, the vibration data of the monitoring fence 1 is analyzed to determine that the vibration intensity reaches the first vibration preset value and the vibration duration reaches the first vibration threshold, and then the stress data of the monitoring fence 1 is analyzed; if the strain reaches the first strain preset value and the strain duration reaches the first strain threshold, the type of abnormal change perceived by the monitoring fence 1 is judged to be an intrusion event.

[0046] Further, the vibration data of the slot 2 is analyzed to determine that when the vibration intensity reaches the first vibration preset value and the vibration duration reaches the first vibration threshold, the type of abnormal change sensed by the slot 2 is determined to be an intrusion event.

[0047] Furthermore, in order to determine the specific type of the intrusion event, the following steps are also included: If the types of abnormal changes sensed by the monitoring fence 1 and the slot 2 are both intrusion events, the position error between the vibration position in the vibration data of the monitoring fence 1 and the vibration position in the vibration data of the slot 2 is calculated. If the position error is less than the second position detection threshold, the time error between the vibration duration in the vibration data of the monitoring fence 1 and the vibration duration in the vibration data of the slot 2 is calculated. If the time error is less than the first time detection threshold, the intrusion event sensed by the monitoring fence 1 and the slot 2 is determined to be a perimeter intrusion.

[0048] Figure 6 , Figure 7 The following are the vibration data and stress data of the monitoring fence 1 whose abnormal change type is perimeter intrusion. Figure 6 It can be seen that the location of the vibration anomaly caused by the perimeter intrusion of monitoring fence 1 occurs at monitoring fence 1 about 180 meters away from the beginning, and the vibration intensity is in the range of (200, 500), and the vibration duration is more than 15 seconds. Figure 7 The stress data shown here are those occurring at the monitoring fence 1, about 180 meters from the start. Figure 7 It can be seen that the strain here varies within the interval (10, 110), and the duration of the strain is more than 15 seconds. Figure 8The vibration data of Channel 2 with the abnormal change type of perimeter intrusion is shown. Figure 8 It can be seen that the location of the vibration anomaly caused by the perimeter invasion of slot 2 occurs at slot 2 about 180 meters away from the beginning, and the vibration intensity is in the range of (200, 300), and the vibration duration is more than 15 seconds.

[0049] Further, if the type of abnormal change sensed by the monitoring fence 1 is an intrusion event, and the slot 2 does not sense an intrusion event, it is determined that the intrusion event sensed by the monitoring fence 1 is an abnormal vibration.

[0050] Alternatively, if the types of abnormal changes sensed by the monitoring fence 1 and the groove 2 are both intrusion events, the position error between the vibration position in the vibration data of the monitoring fence 1 and the vibration position in the vibration data of the groove 2 is calculated, and the time error between the vibration duration in the vibration data of the monitoring fence 1 and the vibration duration in the vibration data of the groove 2 is calculated; if the position error is greater than the second position detection threshold and / or the time error is greater than the first time detection threshold, the intrusion event sensed by the monitoring fence 1 and the groove 2 is judged to be an abnormal vibration.

[0051] Furthermore, the temperature data of the monitoring fence 1 and / or the groove 2 are analyzed separately. If the unit change of the temperature value reaches the second temperature threshold, it is determined that the type of abnormal change sensed by the monitoring fence 1 and / or the groove 2 is abnormal temperature rise.

[0052] Fig. 9 The temperature data shown here are abnormal changes of abnormal temperature rise. Fig. 9 It can be seen that at slot 2, about 600 meters away from the beginning, the temperature value suddenly changes, with the highest temperature reaching 140°C. This is a sharp rise in temperature caused by damage to the cable line, and the current normal temperature is around 20°C.

[0053] Corresponding to the multi-parameter anomaly monitoring method in the above embodiment, Figure 2 A schematic diagram of the composition of a multi-parameter anomaly monitoring system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0054] refer to Figure 2 The multi-parameter anomaly monitoring system includes a monitoring fence 1, a groove 2, an optical fiber monitoring host 3, and a vibration sensing unit 4, a stress sensing unit 5 and a temperature sensing unit 6 which are arranged in parallel on the monitoring fence 1 and in the groove 2.

[0055] Specifically, the vibration sensing unit 4 includes a first vibration monitoring part 41, a vibration connecting part 42 and a second vibration monitoring part 43 connected in sequence; the stress sensing unit 5 includes a first stress monitoring part 51, a stress connecting part 52 and a second stress monitoring part 53 connected in sequence; the temperature sensing unit 6 includes a first temperature monitoring part 61, a temperature connecting part 62 and a second temperature monitoring part 63 connected in sequence.

[0056] The first vibration monitoring unit 41, the first stress monitoring unit 51 and the first temperature monitoring unit 61 are also respectively connected to the optical fiber monitoring host 3; the first vibration monitoring unit 41, the first stress monitoring unit 51 and the first temperature monitoring unit 61 are parallel to each other, and are all arranged on the monitoring fence 1 in the form of sine or cosine curves; the second vibration monitoring unit 43, the second stress monitoring unit 53 and the second temperature monitoring unit 63 are arranged in parallel to each other in the groove 2.

[0057] The vibration sensing unit 4, the stress sensing unit 5 and the temperature sensing unit 6 are used to sense abnormal changes, and convert the abnormal changes into vibration optical signals, stress optical signals and temperature optical signals respectively, and transmit them to the optical fiber monitoring host 3; the optical fiber monitoring host 3 is used to demodulate the vibration optical signals, stress optical signals and temperature optical signals to obtain vibration data, stress data and temperature data; the optical fiber monitoring host 3 is also used to multi-dimensionally analyze the vibration data, stress data and temperature data, and judge the type of abnormal changes according to the analysis results.

[0058] It should be noted that since the above-mentioned multi-parameter anomaly monitoring system is based on the same concept as the embodiment of the method of the present application, its specific functions, the process of each module realizing its respective functions and the technical effects brought about can be specifically referred to the description of the embodiment shown in the above-mentioned multi-parameter anomaly monitoring method, and will not be repeated here.

[0059] Based on the same inventive concept, the present application also provides an electronic device, which includes a processor, a memory and a communication circuit, and the processor is connected to the memory and the communication circuit respectively; wherein the communication circuit is used for communication connection, the memory is used to store a computer program, and the processor is used to execute the computer program to implement the above-mentioned multi-parameter abnormality monitoring method.

[0060] See also Fig.10 The electronic device described in the embodiment of the present application may specifically include a processor 210 and a memory 220. The memory 220 is coupled to the processor 210.

[0061] The processor 210 is used to control the operation of the electronic device. The processor 210 may also be referred to as a CPU (Central Processing Unit). The processor 210 may be an integrated circuit chip with signal processing capabilities. The processor 210 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor may be a microprocessor or the processor 210 may also be any conventional processor, etc.

[0062] The memory 220 is used to store computer programs, and may be a RAM, a ROM, or other types of storage terminals. Specifically, the memory 220 may include one or more computer-readable storage media, which may be non-transitory or transient. The memory 220 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage terminals, flash memory storage terminals. In some embodiments, the non-transitory computer-readable storage medium in the memory 220 is used to store at least one program code.

[0063] The processor 210 is used to execute the computer program stored in the memory 220 to implement the methods described in the various method embodiments of the present application.

[0064] In some embodiments, the electronic device may further include: a peripheral terminal interface 230 and at least one peripheral terminal. The processor 210, the memory 220 and the peripheral terminal interface 230 may be connected via a bus or a signal line. Each peripheral terminal may be connected to the peripheral terminal interface 230 via a bus, a signal line or a circuit board. Specifically, the peripheral terminal includes: at least one of a radio frequency circuit 240, a display screen 250, an audio circuit 260 and a power supply 270.

[0065] The peripheral terminal interface 230 may be used to connect at least one peripheral terminal related to I / O (Input / output) to the processor 210 and the memory 220. In some embodiments, the processor 210, the memory 220, and the peripheral terminal interface 230 are integrated on the same chip or circuit board; in some other implementations, any one or two of the processor 210, the memory 220, and the peripheral terminal interface 230 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

[0066] The radio frequency circuit 240 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 240 communicates with the communication network and other IoT devices through electromagnetic signals, and the radio frequency circuit 240 is the communication circuit of the electronic device. The radio frequency circuit 240 converts the electrical signal into an electromagnetic signal for transmission, or converts the received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 240 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, an operator identity module card, and the like. The radio frequency circuit 240 can communicate with other terminals through at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G and 5G), a wireless local area network and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 240 may also include circuits related to NFC (Near Field Communication), which is not limited in this application.

[0067] The display screen 250 is used to display the UI (User Interface). The UI may include graphics, text, icons, videos, and any combination thereof. When the display screen 250 is a touch display screen, the display screen 250 also has the ability to collect touch signals on the surface or above the surface of the display screen 250. The touch signal can be input to the processor 210 as a control signal for processing. At this time, the display screen 250 can also be used to provide virtual buttons and / or virtual keyboards, also known as soft buttons and / or soft keyboards. In some embodiments, the display screen 250 can be one, set on the front panel of the electronic device; in other embodiments, the display screen 250 can be at least two, respectively set on different surfaces of the electronic device or in a folding design; in other embodiments, the display screen 250 can be a flexible display screen, set on a curved surface or a folding surface of the electronic device. Even, the display screen 250 can also be set as a non-rectangular irregular shape, that is, a special-shaped screen. The display screen 250 can be made of materials such as LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode, organic light-emitting diode).

[0068] The audio circuit 260 may include a microphone and a speaker. The microphone is used to collect sound waves from the operator and the environment, and convert the sound waves into electrical signals and input them into the processor 210 for processing, or input them into the radio frequency circuit 240 to achieve voice communication. For the purpose of stereo acquisition or noise reduction, there may be multiple microphones, which are respectively arranged in different parts of the electronic device. The microphone may also be an array microphone or an omnidirectional acquisition microphone. The speaker is used to convert the electrical signal from the processor 210 or the radio frequency circuit 240 into sound waves. The speaker may be a traditional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert the electrical signal into sound waves audible to humans, but also convert the electrical signal into sound waves inaudible to humans for purposes such as ranging. In some embodiments, the audio circuit 260 may also include a headphone jack.

[0069] The power supply 270 is used to power various components in the electronic device. The power supply 270 can be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 270 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged through a wired line, and a wireless rechargeable battery is a battery that is charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0070] For a detailed description of the functions and execution processes of each functional module or component in the electronic device embodiment of the present application, reference can be made to the description in the above-mentioned method embodiments of the present application, which will not be repeated here.

[0071] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the various embodiments of the electronic devices described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0072] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0073] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0074] Based on the same inventive concept, the present application also provides a computer-readable storage medium storing a computer program, which can be executed by a processor to implement the above-mentioned multi-parameter anomaly monitoring method.

[0075] See also Fig.11 , if the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium 300. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions / computer programs to enable an IoT device (which can be a personal computer, server, or network terminal, etc.) or a processor (processor) to execute all or part of the steps of each implementation method of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard drives, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and electronic terminals such as computers, mobile phones, laptops, tablet computers, cameras, etc. having the above-mentioned storage media.

[0076] The description of the execution process of the program data in the computer-readable storage medium can refer to the description in the above-mentioned method embodiments of the present application, and will not be repeated here.

[0077] It can be seen that the present invention discloses a multi-parameter abnormality monitoring method, system, equipment and medium for rail fences, the method comprising the steps of: setting a vibration sensing unit, a stress sensing unit and a temperature sensing unit on the monitoring fence and in the groove to sense abnormal changes; converting the sensed abnormal changes into vibration light signals, stress light signals and temperature light signals respectively; demodulating the vibration light signals, stress light signals and temperature light signals respectively to obtain vibration data, stress data and temperature data; multi-dimensionally analyzing the vibration data, stress data and temperature data, and judging the type of abnormal changes according to the analysis results. The present application performs fine monitoring of rail fences from multiple levels of vibration, stress and temperature, and can timely and accurately identify and judge perimeter intrusions near the rails, avoiding threats to the driving safety of the rails caused by intrusions.

[0078] The above are only embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A multi-parameter abnormality monitoring method for rail fences, characterized in that: Includes steps: Vibration sensing units, stress sensing units and temperature sensing units are installed on the monitoring fence and in the channel to sense abnormal changes; Converting the sensed abnormal changes into vibration light signals, stress light signals and temperature light signals respectively; Demodulating the vibration optical signal, stress optical signal and temperature optical signal respectively to obtain vibration data, stress data and temperature data; The vibration data, stress data and temperature data are analyzed in multiple dimensions, and the type of the abnormal change is determined according to the analysis results.

2. The multi-parameter abnormality monitoring method according to claim 1, characterized in that: The step of converting the sensed abnormal changes into vibration optical signals, stress optical signals and temperature optical signals respectively specifically includes: The vibration sensing unit converts the mechanical vibration caused by the sensed abnormal change into the vibration light signal; The stress sensing unit converts the stress caused by the sensed abnormal change into the stress light signal; The temperature sensing unit converts the temperature difference caused by the sensed abnormal change into the temperature light signal; The vibration optical signal, stress optical signal and temperature optical signal are transmitted to the corresponding optical fiber monitoring host.

3. The multi-parameter anomaly monitoring method according to claim 1, characterized in that: The vibration data includes vibration position and vibration intensity, the stress data includes strain position and strain amount, and the temperature data includes temperature change position and temperature value; The step of multi-dimensionally analyzing the vibration data, stress data and temperature data and determining the type of the abnormal change according to the analysis result specifically includes: Analyze the vibration data of the monitoring fence, determine whether the vibration intensity reaches a first vibration preset value, and then judge whether the vibration duration reaches a first vibration threshold. If the vibration duration reaches the first vibration threshold, analyze the stress data of the monitoring fence; If the strain amount does not reach the first strain preset value, and / or the strain duration does not reach the first strain threshold, it means that the monitoring fence senses interference changes.

4. The multi-parameter abnormality monitoring method according to claim 3, characterized in that: The types of interference changes include wind interference and rain interference; after the step of representing that the monitoring fence senses interference changes, the step further includes: Analyzing the temperature data, and if the unit change of the temperature value does not reach the first temperature threshold, determining that the type of the interference change sensed by the monitoring fence is the wind interference; If the unit change of the temperature value reaches the first temperature threshold, and the position error between the vibration position in the vibration data and the temperature change position in the temperature data is less than the first position detection threshold, it is determined that the type of interference change perceived by the monitoring fence is the rain interference.

5. The multi-parameter anomaly monitoring method according to claim 3, characterized in that: The types of abnormal changes include intrusion events and abnormal temperature rise; in the step of multi-dimensionally analyzing the vibration data, stress data and temperature data and judging the type of the abnormal change according to the analysis results, the step further includes: After analyzing the vibration data of the monitoring fence and determining that the vibration intensity reaches the first vibration preset value and the vibration duration reaches the first vibration threshold, analyzing the stress data of the monitoring fence; if the strain reaches the first strain preset value and the strain duration reaches the first strain threshold, determining that the type of the abnormal change sensed by the monitoring fence is the intrusion event; After analyzing the vibration data of the slot and determining that the vibration intensity reaches the first vibration preset value and the vibration duration reaches the first vibration threshold, it is determined that the type of the abnormal change sensed by the slot is the intrusion event.

6. The multi-parameter anomaly monitoring method according to claim 5, characterized in that: The intrusion events include abnormal vibration and perimeter intrusion; If the types of the abnormal changes sensed by the monitoring fence and the channel are both intrusion events, the position error between the vibration position in the vibration data of the monitoring fence and the vibration position in the vibration data of the channel is calculated; if the position error is less than the second position detection threshold, the time error between the vibration duration in the vibration data of the monitoring fence and the vibration duration in the vibration data of the channel is calculated; if the time error is less than the first time detection threshold, the intrusion event sensed by the monitoring fence and the channel is determined to be the perimeter intrusion; Alternatively, if the type of the abnormal change sensed by the monitoring fence is the intrusion event, and the channel does not sense the intrusion event, then it is determined that the intrusion event sensed by the monitoring fence is the abnormal vibration; Alternatively, if the types of abnormal changes sensed by the monitoring fence and the channel are both intrusion events, the position error between the vibration position in the vibration data of the monitoring fence and the vibration position in the vibration data of the channel is calculated, and the time error between the vibration duration in the vibration data of the monitoring fence and the vibration duration in the vibration data of the channel is calculated; if the position error is greater than the second position detection threshold and / or the time error is greater than the first time detection threshold, the intrusion event sensed by the monitoring fence and the channel is determined to be the abnormal vibration.

7. The multi-parameter anomaly monitoring method according to claim 5, characterized in that: The temperature data of the monitoring fence and / or the channel are analyzed, and if the unit change of the temperature value reaches a second temperature threshold, it is determined that the type of the abnormal change sensed by the monitoring fence and / or the channel is the abnormal temperature rise.

8. A multi-parameter abnormality monitoring system for rail fences, characterized in that: It includes a monitoring fence, a channel, an optical fiber monitoring host, and a vibration sensing unit, a stress sensing unit and a temperature sensing unit which are arranged in parallel on the monitoring fence and in the channel; The vibration sensing unit comprises a first vibration monitoring part, a vibration connecting part and a second vibration monitoring part connected in sequence; the stress sensing unit comprises a first stress monitoring part, a stress connecting part and a second stress monitoring part connected in sequence; the temperature sensing unit comprises a first temperature monitoring part, a temperature connecting part and a second temperature monitoring part connected in sequence; The first vibration monitoring unit, the first stress monitoring unit and the first temperature monitoring unit are also connected to the optical fiber monitoring host respectively; the first vibration monitoring unit, the first stress monitoring unit and the first temperature monitoring unit are parallel to each other and are arranged on the monitoring fence in a sine or cosine curve; the second vibration monitoring unit, the second stress monitoring unit and the second temperature monitoring unit are arranged in parallel with each other in the groove; The vibration sensing unit, stress sensing unit and temperature sensing unit are used to sense abnormal changes, and convert the abnormal changes into vibration light signals, stress light signals and temperature light signals respectively, and transmit them to the optical fiber monitoring host; the optical fiber monitoring host is used to demodulate the vibration light signals, stress light signals and temperature light signals to obtain vibration data, stress data and temperature data; the optical fiber monitoring host is also used to multi-dimensionally analyze the vibration data, stress data and temperature data, and determine the type of the abnormal change based on the analysis results.

9. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing 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 7 are implemented.

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