Vibration and stress dual sensing monitoring method and system for anti-throwing net
By setting up vibrating fiber and fiber grating sensors on the anti-smashing network, the signal is monitored and demodulated in real time and the invasion behavior is identified, the problem of inaccurate monitoring of fiber sensors is solved, and the accurate monitoring and safety improvement of the anti-smashing network is achieved.
Patent Information
- Application Number
- CN202411460211.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-18
- Publication Date
- 2024-12-31
AI Technical Summary
In the prior art, when optical fiber sensors are used for anti-splitting monitoring alone, deformation monitoring is not accurate enough, which can easily cause false alarms and pose safety hazards.
Vibration fiber and fiber grating sensors are set up on the anti-popping network to monitor vibration and deformation signals in real time, obtain deformation data through demodulation, identify the type of invasion behavior, and perform secondary confirmation and alarm through high-definition cameras.
It realizes accurate monitoring of anti-splitting net deformation status and accurate identification of invasion behavior, reduces false alarms, improves the safety of railway operation, and saves maintenance time.
Smart Images
Figure CN119223434A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of railway safety monitoring, and in particular to a vibration and stress dual sensing monitoring method and system for an anti-throwing net. Background Art
[0002] Bridges built above railways, especially highway bridges, must meet safety requirements. This is because as the speed of railway trains continues to increase, if there is no good safety guarantee, it will pose a danger to high-speed trains.
[0003] In the existing technology, anti-throw nets are installed on both sides of the railway bridge, and the main safety monitoring and early warning methods include dual power grids, microwaves, infrared, fiber optic sensors, etc.; among them, dual power grids, microwaves, infrared and other sensors have high requirements on on-site power conditions, and infrared sensors are easily affected by external environments such as sunlight, lights, and falling objects. They cannot monitor and judge the tilt trend of the anti-throw net itself or damage caused by collisions with vehicles and foreign objects in real time, and need to rely on regular manual inspections. Therefore, the monitoring method of fiber optic sensors is preferred.
[0004] However, in the prior art, when optical fiber sensors are used alone for monitoring, the deformation monitoring of the anti-throwing net is not accurate enough, which may easily cause false alarms and pose a safety hazard. Summary of the invention
[0005] The present invention provides a vibration and stress dual sensing monitoring method and system for an anti-throwing net, which solves the problem in the prior art that when using optical fiber sensors alone for monitoring, the deformation monitoring of the anti-throwing net is not accurate enough, which is easy to cause false alarms and poses a safety hazard.
[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is to provide a monitoring and identification method for an anti-throwing net across a highway and a railway, comprising the steps of: arranging a vibration optical fiber on the anti-throwing net, monitoring the vibration from the anti-throwing net in real time and converting it into a vibration signal on the vibration optical fiber, and determining the location and intensity of the vibration on the anti-throwing net according to the vibration signal; and evenly laying at least two rows of fiber grating sensors on the anti-throwing net, monitoring the deformation state of the anti-throwing net in real time, and converting the deformation state into a stress signal; converting and demodulating the stress signal to obtain the deformation data of the anti-throwing net; and identifying the type of intrusion behavior to which the anti-throwing net is subjected according to the vibration signal and the deformation data.
[0007] In some embodiments, the deformation data includes the intrusion range, the intrusion time and the strain of the fiber grating sensor that is intruded; if the strain is less than or equal to a first threshold value, and the maximum value of the vibration intensity of the vibration signal is less than or equal to a first intensity value, then the anti-throwing net is subjected to non-intrusive behavior; if the strain is greater than the first threshold value, and the maximum value of the vibration intensity is greater than the first intensity value, then the anti-throwing net is subjected to intrusive behavior.
[0008] In some embodiments, in the step of identifying the type of intrusion behavior suffered by the anti-throwing net based on the vibration signal and deformation data, the steps include: the types of intrusion behavior include foreign object intrusion, impact intrusion and overturning intrusion; if the strain amount is greater than the first threshold value, and the strain amount is the strain amount of a single fiber grating sensor, and the maximum value of the vibration intensity is greater than the first intensity value and less than the second intensity value, then it is identified that the anti-throwing net is subjected to foreign object intrusion; if the strain amount is greater than the first threshold value, and the strain amount is the strain amount of two or more and five or less fiber grating sensors, and the maximum value of the vibration intensity is greater than the third intensity value, then it is identified that the anti-throwing net is subjected to impact intrusion; if the strain amount is greater than the first threshold value, and the strain amount is the strain amount of six or more fiber grating sensors, and the maximum value of the vibration intensity is greater than the second intensity value and less than the third intensity value, then it is identified that the anti-throwing net is subjected to overturning intrusion.
[0009] In some embodiments, the foreign body intrusion limit includes the deformation unrecovered foreign body intrusion limit and the deformation recoverable foreign body intrusion limit; the identification model of the deformation unrecovered foreign body intrusion limit is: when t∈(t b ,t1],η1 i (t)≤η2; when t∈(t1,t e ], η2 i (t)≤η3; when t>t e When S i (t) = η3; the deformation can be restored to the foreign body intrusion limit recognition model is: when t∈(t b ,t1],η1 i (t)≤η2; when t∈(t1,t e ], η4≤S i (t)<η2; when t>t e When S i (t)=eta4; where, eta1≤eta4<eta2<eta3, t b <t1<t e , t represents the intrusion time, S i (t) represents the strain of the ith fiber Bragg grating sensor when the anti-throwing net is invaded, η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, η4 represents the fourth threshold, t b represents the time when the anti-throwing net begins to deform, t e It represents the time when the deformation state of the anti-throwing net no longer changes, and t1 represents the intermediate time when the anti-throwing net is invaded.
[0010] In some embodiments, the value of η1 is 2pm, the value of η2 is 100pm, and the value of η3 is 250pm.
[0011] In some embodiments, the impact limit includes a deformation unrecovered impact limit and a deformation recoverable impact limit; the identification model of the deformation unrecovered impact limit is: when t∈(t b ,t1],η1 i (t)≤η2,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t); when t∈(t1,t e ], η2 i (t)≤η3,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t); when t>t e When S i (t) = η3, S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t), and at this time S i-1 (t), S i+1 (t), S i-2 (t) and S i+2 (t) remains unchanged; the identification model of the deformation-recoverable impact limit is: when t∈(t b ,t1],η1 i (t)≤η2,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) <Si (t); when t∈(t1,t e ], η4≤S i (t)<η2,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t); when t>t e When S i (t) = η4, S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t), and at this time S i-1 (t), S i+1 (t), S i-2 (t) and S i+2 (t) remain unchanged; where η1≤η4<η2<η3, t b <t1<t e , t represents the intrusion time, S i (t) represents the strain of the ith fiber Bragg grating sensor when the anti-throwing net is invaded, S i-1 (t), S i+1 (t), S i-2 (t), S i+2 (t) represents the strain of the four fiber Bragg grating sensors adjacent to the i-th fiber Bragg grating sensor on the left and right, η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, η4 represents the fourth threshold, t b represents the time when the anti-throwing net begins to deform, t e It represents the time when the deformation state of the anti-throwing net no longer changes, and t1 represents the intermediate time when the anti-throwing net is invaded.
[0012] In some embodiments, the value of η1 is 2pm, the value of η2 is 100pm, and the value of η3 is 500pm.
[0013] In some embodiments, the overturning limit includes a deformation unrecovered overturning limit; the identification model of the deformation unrecovered overturning limit is: when t∈(t b ,t1],η1 i (t)≤η2,S i-m (t)<… i-2 (t) i-1 (t) i (t), Si+m (t)<… i+2 (t) i+1 (t) i (t); when t∈(t1,t e ], η2 i (t)≤η3,S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t); when t>t e When S i (t) = η3, S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t), and at this time S i-m (t),…,S i-2 (t), S i-1 (t), S i+1 (t), S i+2 (t),…,S i+m (t) remains unchanged; b <t1<t e , m∈(2,n], n represents the number of all the fiber Bragg grating sensors, t represents the intrusion limit time, S i (t) represents the strain of the ith fiber Bragg grating sensor when the anti-throwing net is invaded, S i-m (t),…,S i-2 (t), S i-1 (t), S i+1 (t), S i+2 (t),…,S i+m (t) represents the strain of the plurality of fiber Bragg grating sensors adjacent to the i-th fiber Bragg grating sensor, η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, t b represents the time when the anti-throwing net begins to deform, t e It represents the time when the deformation state of the anti-throwing net no longer changes, and t1 represents the intermediate time when the anti-throwing net is invaded.
[0014] In some embodiments, the value of η1 is 2pm, the value of η2 is 100pm, and the value of η3 is 300pm.
[0015] The present invention also provides a vibration and stress dual sensing monitoring system for an anti-throwing net, comprising a deformation monitoring device, a vibration optical fiber, a demodulator and a monitoring host, wherein the deformation monitoring device comprises a steel strand, a fiber grating sensor, a conductive optical fiber and a high-definition camera; the steel strand is transversely fixed to the anti-throwing net; the fiber grating sensor is transversely arranged on the load-bearing column of the anti-throwing net, and is respectively connected to the steel strand and the conductive optical fiber, and each of the fiber grating sensors is spaced a first distance apart; the conductive optical fiber is connected to the demodulator; the high-definition cameras are respectively arranged at both ends of the anti-throwing net; the vibration optical fiber is transversely fixed to the anti-throwing net, and the vibration optical fiber and the demodulator are respectively connected to the monitoring host; the vibration optical fiber is used to sense the vibration on the anti-throwing net and convert it into a vibration signal; the optical fiber The fiber grating sensor is used to monitor the deformation state of the anti-casting net and the steel strand in real time, and convert the deformation state into a stress signal; the conductive optical fiber is used to convert the stress signal and transmit it to the demodulator; the demodulator is used to demodulate the converted stress signal to generate deformation data of the anti-casting net; the high-definition camera is used to perform real-time video monitoring of the deformation state of the anti-casting net; the monitoring host is used to monitor the vibration signal from the vibrating optical fiber in real time, and determine the location and intensity of the vibration on the anti-casting net based on the vibration signal; the monitoring host is also used to identify the type of intrusion behavior suffered by the anti-casting net based on the vibration signal and deformation data, and is also used to call the video monitoring information of the anti-casting net, reconfirm the type of intrusion behavior, and issue an alarm.
[0016] The beneficial effects of the present invention are as follows: the present invention discloses a dual-sensing monitoring method and system for vibration and stress of an anti-throwing net, the method comprising the steps of: arranging a vibration optical fiber on the anti-throwing net, monitoring the vibration from the anti-throwing net in real time and converting it into a vibration signal on the vibration optical fiber, and determining the position and intensity of the vibration on the anti-throwing net according to the vibration signal; and at least two rows of fiber grating sensors are evenly laid on the anti-throwing net to monitor the deformation state of the anti-throwing net in real time and convert the deformation state into a stress signal; converting and demodulating the stress signal to obtain the deformation data of the anti-throwing net; and identifying the type of intrusion behavior suffered by the anti-throwing net according to the vibration signal and the deformation data. The present application realizes real-time monitoring of the deformation state of the anti-throwing net and early warning of intrusion behavior by arranging a vibration optical fiber, a fiber grating sensor, and a transmission optical fiber on the anti-throwing net; accurately identifying the type of intrusion behavior suffered by the anti-throwing net through the monitoring host, and cooperating with the monitoring information of the high-definition camera to confirm the type of intrusion behavior suffered by the anti-throwing net for a second time, and issuing an alarm to remind the operation and maintenance personnel to maintain the anti-throwing net. It can not only provide early warning and accurate monitoring without wasting human resources due to false alarms, but also reflect the various states of the anti-throwing net in real time, allowing operation and maintenance personnel to perform targeted maintenance and saving maintenance time. At the same time, it improves the safety of railway operation and resolves safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It is a flow chart of the vibration and stress dual sensing monitoring method for anti-throwing net provided by the present application;
[0018] Figure 2 It is a schematic diagram of the composition of the vibration and stress dual sensing monitoring system for the anti-throwing net provided by the present application;
[0019] Figure 3 It is a schematic diagram of deformation data of an anti-throwing net when it is subjected to non-aggressive behavior in a dual-sensing monitoring method for vibration and stress of an anti-throwing net provided by the present application;
[0020] Figure 4 It is a schematic diagram of the time-limited deformation data of the anti-throwing net being invaded by a foreign object that has not recovered from the deformation in the vibration and stress dual sensing monitoring method for the anti-throwing net provided by the present application;
[0021] Figure 5 It is a schematic diagram of the time-limited deformation data of the anti-throwing net that can recover the foreign body invasion in the vibration and stress dual sensing monitoring method for the anti-throwing net provided by the present application;
[0022] Figure 6 This is a schematic diagram of the time-limited deformation data of the anti-throwing net in the vibration and stress dual sensing monitoring method for the anti-throwing net provided by the present application, which is subjected to the impact of the deformation without recovery. Figure 1 ;
[0023] Figure 7 It is a schematic diagram of the time-limited deformation data of the anti-throwing net subjected to deformation and recoverable impact in the vibration and stress dual sensing monitoring method for the anti-throwing net provided by the present application;
[0024] Figure 8 This is a schematic diagram of the time-limited deformation data of the anti-throwing net in the vibration and stress dual sensing monitoring method for the anti-throwing net provided by the present application, which is subjected to the impact of the deformation without recovery. Figure 2 ;
[0025] Fig. 9 This is a schematic diagram of the deformation data of the anti-throwing net that has not recovered and overturned in the vibration and stress dual sensing monitoring method for the anti-throwing net provided by the present application. Figure 1 ;
[0026] Fig.10 This is a schematic diagram of the deformation data of the anti-throwing net that has not recovered and overturned in the vibration and stress dual sensing monitoring method for the anti-throwing net provided by the present application. Figure 2 ;
[0027] Fig.11 is based on Figure 4 A schematic diagram for obtaining deformation data;
[0028] Fig.12 It is a schematic diagram of a time-limited vibration signal of an anti-throwing net being invaded by a foreign object in the vibration and stress dual sensing monitoring method for an anti-throwing net provided by the present application;
[0029] Fig.13 It is a schematic diagram of a vibration signal of an anti-throwing net being impacted and intruded within a limited time in the vibration and stress dual sensing monitoring method for an anti-throwing net provided by the present application;
[0030] Fig.14 It is a schematic diagram of the time-limited vibration signal of the anti-throwing net being overturned in the vibration and stress dual-sensing monitoring method for the anti-throwing net provided in the present application. DETAILED DESCRIPTION
[0031] 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.
[0032] 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.
[0033] Figure 1 The flowchart of the implementation of the vibration and stress dual sensing monitoring method for the anti-throwing net provided by the present application is shown, including the steps of:
[0034] S1: a vibration optical fiber is arranged on the anti-throwing net to monitor the vibration from the anti-throwing net in real time and convert it into a vibration signal on the vibration optical fiber, and the position and intensity of the vibration on the anti-throwing net are determined according to the vibration signal; and at least two rows of fiber grating sensors are evenly laid on the anti-throwing net to monitor the deformation state of the anti-throwing net in real time and convert the deformation state into a stress signal.
[0035] S2: transform and demodulate the stress signal to obtain the deformation data of the anti-throwing net.
[0036] S3: Identify the type of intrusion behavior on the anti-throwing net based on the vibration signal and deformation data.
[0037] This application realizes real-time monitoring of the deformation state of the anti-throwing net and early warning of intrusion behavior by setting vibration optical fiber, fiber grating sensor and transmission optical fiber on the anti-throwing net; the type of intrusion behavior suffered by the anti-throwing net is accurately identified by the monitoring host, and the type of intrusion behavior suffered by the anti-throwing net is confirmed again with the monitoring information of the high-definition camera, and an alarm is issued to remind the operation and maintenance personnel to maintain the anti-throwing net. Not only can early warning and accurate monitoring be provided, and human resources will not be wasted due to false alarms, but also the various states of the anti-throwing net can be reflected in real time, so that the operation and maintenance personnel can be targeted when performing maintenance, saving maintenance time, while improving the safety of railway operation and solving safety hazards.
[0038] Combine the following Figures 1 to 14 , this application is described in detail with specific embodiments.
[0039] like Figure 1 , Figure 2 As shown, the vibration and stress dual sensing monitoring method for the anti-throwing net provided in the embodiment of the present application is described in detail as follows:
[0040] S1: A vibration optical fiber 5 is arranged on the anti-throwing net 4 to monitor the vibration from the anti-throwing net 4 in real time and convert it into a vibration signal on the vibration optical fiber 5, and the position and intensity of the vibration on the anti-throwing net 4 are determined according to the vibration signal; and at least two rows of fiber grating sensors 12 are evenly laid on the anti-throwing net 4 to monitor the deformation state of the anti-throwing net 4 in real time and convert the deformation state into a stress signal.
[0041] The installation method of the vibrating optical fiber 5 and the optical fiber grating sensor 12 is as follows: Figure 2 As shown. Specifically, on the anti-throwing net 4 of the highway crossing the railway, the fiber grating sensors 12 are evenly laid in two rows along the anti-throwing net 4, and the two rows of fiber grating sensors 12 are parallel to each other. Each fiber grating sensor 12 is fixed on the load-bearing column 41 of the anti-throwing net 4, and the distance between two adjacent fiber grating sensors 12 on the same horizontal line is 10 meters. All the fiber grating sensors 12 in each row are connected to the same steel strand 11, and the steel strand 11 is arranged horizontally along the anti-throwing net 4, and a clamp is used to fix the steel strand 11 to the anti-throwing net 4. The vibration optical fiber 5 is fixed horizontally on the anti-throwing net 4, and the vibration optical fiber 5 is connected to the monitoring host 3.
[0042] Furthermore, each fiber grating sensor 12 is also connected to a transmission optical fiber 13 , which is arranged in the lower half of the anti-throwing net 4 . The end of the transmission optical fiber 13 is connected to a demodulator 2 , which is also connected to a monitoring host 3 .
[0043] Furthermore, high-definition cameras 14 are respectively provided at both ends of the anti-throwing net 4 to perform real-time video monitoring of the anti-throwing net 4 .
[0044] In this embodiment, the fiber grating sensor 12 is a Bragg grating sensor (Fiber Grating Sensor); the fiber grating sensor 12 is a type of fiber optic sensor. The sensing process based on fiber grating obtains sensing information by modulating the fiber Bragg wavelength by external physical parameters. It is a wavelength modulated fiber optic sensor. The fiber grating sensor 12 can realize direct measurement of physical quantities such as temperature and strain.
[0045] When the external environment changes and affects the anti-throwing net 4, the anti-throwing net 4 will be deformed, further causing the steel strands 11 thereon to be deformed. After the nearby fiber grating sensor 12 monitors the deformation state of the anti-throwing net 4 and the steel strands 11, it converts the deformation state into a stress signal and transmits it to the transmission optical fiber 13 for further processing.
[0046] It should be noted that the vibration optical fiber 5 is mainly used to monitor the vibration of the anti-throwing net 4 and generate a vibration signal. The working principle of the vibration optical fiber 5 is based on the principle of optical fiber interferometer. By configuring the monitoring host 3, the characteristic changes of the transmission light in the vibration optical fiber 5, such as phase and frequency, are detected. When the anti-throwing net 4 is subject to intrusion, such as foreign body intrusion, impact intrusion, overturning intrusion, etc., the vibration signal in the vibration optical fiber 5 will change. This change is detected by the monitoring host 3, and the characteristics of the changing waveform are analyzed to distinguish between the intrusion and normal interference, and realize the alarm and positioning functions. At the same time, before the anti-throwing net 4 is intruded, the vibration optical fiber 5 can also sense it in advance and generate a corresponding vibration signal, which is transmitted to the monitoring host 3. After analysis, the monitoring host 3 will issue an early warning to inform the staff that the intrusion is about to occur and make preventive preparations in advance.
[0047] S2: transform and demodulate the stress signal to obtain deformation data of the anti-throwing net 4.
[0048] Specific, combined Figure 2 After receiving the stress signal from the fiber grating sensor 12 , the transmission optical fiber 13 transforms the stress signal and transmits it to the demodulator 2 . The demodulator 2 demodulates the transformed stress signal to obtain deformation data about the anti-throwing net 4 .
[0049] S3: Identify the type of intrusion behavior to which the anti-throwing net 4 is subjected based on the vibration signal and the deformation data.
[0050] Figure 2 The monitoring host 3 analyzes and identifies the type of intrusion behavior to which the anti-throwing net 4 is subjected based on the deformation data demodulated by the demodulator 2 and the vibration signal generated by the vibrating optical fiber 5.
[0051] Among them, combined Figures 3 to 14 As shown, the deformation data includes the intrusion range, the intrusion time and the strain amount of the intruded fiber grating sensor 12.
[0052] Specifically, if the strain amount is less than or equal to the first threshold value, and the maximum value of the vibration intensity of the vibration signal is less than or equal to the first intensity value, the anti-throwing net 4 is subjected to non-intrusive behavior; if the strain amount is greater than the first threshold value, and the maximum value of the vibration intensity is greater than the first intensity value, the anti-throwing net 4 is subjected to intrusive behavior.
[0053] In this embodiment, the first threshold is set to 2 pm, and the first intensity value is set to 20 cd. Figure 3 ,as well as Figure 12 to Figure 14 As shown, when the strain is less than or equal to 2pm and the maximum value of the vibration intensity of the vibration signal is less than or equal to 20cd, the anti-throwing net 4 is subjected to non-intrusive behavior (such as interference from wind and rain, etc.); the positive and negative values of the strain respectively represent the deformation of the anti-throwing net in the front and rear directions.
[0054] Further, such as Figures 4 to 14 As shown, when the strain is greater than 2pm and the maximum value of the vibration intensity of the vibration signal is greater than 20cd, the anti-throwing net 4 is subjected to an intrusion behavior. The types of intrusion behaviors include foreign body intrusion, impact intrusion and overturning intrusion. Among them, foreign body intrusion refers to foreign bodies such as stones or plastic bags falling on the anti-throwing net 4, causing the anti-throwing net 4 to deform. Foreign body intrusion includes deformation-unrecovered foreign body intrusion and deformation-recoverable foreign body intrusion. The deformation-unrecovered foreign body intrusion means that the foreign body falls on the anti-throwing net 4, and the impact generated when falling is large or it is always pressed on the anti-throwing net 4, causing the anti-throwing net 4 to deform and cannot be restored to its original state; the deformation-recoverable foreign body intrusion means that after the foreign body falls into the anti-throwing net 4, the impact generated when falling is small or it bounces off quickly after falling, which has little effect on the anti-throwing net 4, causing the anti-throwing net 4 to gradually recover after deformation. Impact intrusion means that the anti-throwing net 4 is hit by large objects such as vehicles, causing deformation. The impact intrusion limit includes the impact intrusion limit of unrecovered deformation and the impact intrusion limit of recoverable deformation. The impact intrusion limit of unrecovered deformation means that when an object hits the anti-throwing net 4, the impact force is too large, causing the anti-throwing net 4 to be deformed and unable to recover to its original state; the impact intrusion limit of recoverable deformation means that when an object hits the anti-throwing net 4, the impact force is small, and the impact on the anti-throwing net 4 is small, causing the anti-throwing net 4 to gradually recover to its original state after being deformed. The overturning intrusion limit refers to the anti-throwing net 4 aging and tilting, which causes the corresponding deformation. The overturning intrusion limit includes the overturning intrusion limit of unrecovered deformation. When the anti-throwing net 4 tilts or overturns, the deformation basically cannot be restored to its original state.
[0055] Further, such as Figure 4 , Figure 5 , Fig.12 As shown, the strain is greater than the first threshold value, and the strain is the strain of a single fiber grating sensor 12, and the maximum value of the vibration intensity is greater than the first intensity value and less than the second intensity value, indicating that the anti-throwing net 4 is invaded by foreign objects.
[0056] Specific, combined Figure 2 , Fig.12 In this embodiment, the first intensity value is set to 20cd ， The second intensity value is set to 160 cd. Fig.12 The figure shows the vibration signal generated by the vibrating optical fiber 5 located at 200 meters (m) on the anti-throwing net 4 when the intrusion time is 140 seconds (s). The maximum value of the vibration intensity is 140cd, indicating that the anti-throwing net 4 is invaded by foreign objects at this time.
[0057] Combination Figure 4 , the identification model of foreign body intrusion without deformation recovery is:
[0058] When t∈(t b ,t1],η1 i (t)≤η2; when t∈(t1,t e ], η2 i (t)≤η3; when t>t e When S i (t) = η3.
[0059] In this identification model, the value of η1 is 2pm, the value of η2 is 100pm, the value of η3 is 250pm, and t b The value of is 18s, the value of t1 is 25s, and the value of t e The value is 40s.
[0060] Combination Fig.11 The specific deformation data can be obtained, that is, when t∈(18,25], 2 i (t)≤100; when t∈(25,40], 100 i (t)≤250; when t>40, S i (t) = 250, and as time goes by, S i The value of (t) gradually becomes stable and no longer changes.
[0061] Among them, t b <t1<t e , t represents the intrusion time, the unit of t is second (s), S i (t) represents the strain of the ith FBG sensor 12 when the anti-throwing net 4 is invaded (the ith FBG sensor 12 is the FBG sensor 12 closest to the invasion position when the anti-throwing net 4 is invaded), the unit of the strain is pm, the unit of the distance of the FBG sensor 12 on the anti-throwing net 4 is meter (m), η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, t b represents the time when the anti-throwing net 4 begins to deform, t e It represents the time when the deformation state of the anti-throwing net 4 no longer changes, and t1 represents the intermediate time when the anti-throwing net 4 is invaded.
[0062] Combination Figure 5 , the deformation-recoverable foreign body intrusion recognition model is:
[0063] When t∈(t b ,t1],η1 i (t)≤η2; when t∈(t1,t e ], η4≤S i (t)<η2; when t>t e When S i (t) = η4.
[0064] In this identification model, the value of η1 is 2pm, the value of η2 is 100pm, and t b The value of is 18s, the value of t1 is 35s, and the value of t e The value is 50s.
[0065] That is, when t∈(18,35], 2 i (t)≤100; when t∈(35,50], η4≤S i (t)<100; when t>50, S i (t) = η4.
[0066] Among them, η1≤η4<η2<η3, t b <t1<t e , t represents the intrusion time, S i (t) represents the strain of the i-th fiber Bragg grating sensor 12 when the anti-throwing net 4 is invaded, η1 represents the first threshold, η2 represents the second threshold, η4 represents the fourth threshold, t b represents the time when the anti-throwing net 4 begins to deform, t e It represents the time when the deformation state of the anti-throwing net 4 no longer changes, and t1 represents the intermediate time when the anti-throwing net 4 is invaded.
[0067] Further, such as Figures 6 to 8 , Fig.13 As shown, the strain is greater than the first threshold, and the strain is respectively the strain of two or more and five or less fiber grating sensors 12, and the maximum value of the vibration intensity is greater than the third intensity value, indicating that the anti-throwing net 4 is subjected to impact intrusion.
[0068] Specific, combined Figure 2 , Fig.13 In this embodiment, the third intensity value is set to 300 cd. Fig.13 The figure shows the vibration signal generated by the vibrating optical fiber 5 located at 200 meters (m) on the anti-throwing net 4 within the limit time of 0s-50s; at the 50th second, the maximum value of its vibration intensity is 350cd, indicating that the anti-throwing net 4 is hit and intruded.
[0069] Combination Figure 6 , the identification model of the impact limit of deformation without recovery is:
[0070] When t∈(t b ,t1],η1 i (t)≤η2,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t).
[0071] When t∈(t1,t e ], η2 i (t)≤η3,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t).
[0072] When t>t e When S i (t) = η3, S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t), and at this time S i-1 (t), S i+1 (t), S i-2 (t) and S i+2 The value of (t) remains unchanged.
[0073] In this identification model, the value of η1 is 2pm, the value of η2 is 100pm, the value of η3 is 500pm, and t b The value of is 18s, the value of t1 is 22s, and the value of t e The value is 40s.
[0074] That is, when t∈(18,22], 2 i (t)≤100,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t).
[0075] When t∈(22,40], 100 i (t)≤500,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t).
[0076] When t>40, S i (t) = 500, S i-2 (t) i-1 (t) <Si (t), S i+2 (t) i+1 (t) i (t), and as time goes by, S i (t), S i-1 (t), S i+1 (t), S i-2 (t), S i+2 The value of (t) gradually becomes stable and no longer changes.
[0077] Combination Figure 8 In this embodiment, when t=40, S i (t) = 500, S i-1 (t) = 250, S i+1 (t) = 200, S i-2 (t) = 100, S i+2 (t)=80.
[0078] Among them, t b <t1<t e , t represents the intrusion time, S i (t) represents the strain of the ith fiber Bragg grating sensor 12 when the anti-throwing net 4 is invaded, S i-1 (t), S i+1 (t), S i-2 (t), S i+2 (t) represents the strain of the four fiber Bragg grating sensors 12 adjacent to the i-th fiber Bragg grating sensor 12, η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, t b represents the time when the anti-throwing net 4 begins to deform, t e It represents the time when the deformation state of the anti-throwing net 4 no longer changes, and t1 represents the intermediate time when the anti-throwing net 4 is invaded.
[0079] Combination Figure 7 , the identification model of deformation-recoverable impact intrusion limit is:
[0080] When t∈(t b ,t1],η1 i (t)≤η2,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t).
[0081] When t∈(t1,t e ], η4≤S i (t)<η2,Si-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t).
[0082] When t>t e When S i (t) = η4, S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t), and at this time S i-1 (t), S i+1 (t), S i-2 (t) and S i+2 The value of (t) remains unchanged.
[0083] In this identification model, the value of η1 is 2pm, the value of η2 is 100pm, and t b The value of is 18s, the value of t1 is 30s, and the value of t e The value is 50s.
[0084] That is, when t∈(18,30], 2 i (t)≤100,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t).
[0085] When t∈(30,50], η4≤S i (t)<100,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t).
[0086] When t>50, S i (t) = η4, S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t), and as time goes by, S i (t), S i-1 (t), S i+1 (t), S i-2 (t), S i+2 The value of (t) gradually becomes stable and no longer changes.
[0087] Among them, η1≤η4<η2<η3, t b <t1<t e , t represents the intrusion time, S i (t) represents the strain of the ith fiber Bragg grating sensor 12 when the anti-throwing net 4 is invaded, S i-1 (t), S i+1 (t), S i-2 (t), S i+2 (t) represents the strain of the four fiber Bragg grating sensors 12 adjacent to the i-th fiber Bragg grating sensor 12, η1 represents the first threshold, η2 represents the second threshold, η4 represents the fourth threshold, t b represents the time when the anti-throwing net 4 begins to deform, t e It represents the time when the deformation state of the anti-throwing net 4 no longer changes, and t1 represents the intermediate time when the anti-throwing net 4 is invaded.
[0088] Further, such as Fig. 9 , Fig.10 , Fig.14 As shown, the strain is greater than the first threshold, and the strain is respectively the strain of six or more fiber grating sensors 12, and the maximum value of the vibration intensity is greater than the second intensity value and less than the third intensity value, indicating that the anti-throwing net 4 is subject to overturning intrusion.
[0089] Specific, combined Figure 2 , Fig.14 In this embodiment, the second intensity value is set to 160 cd, and the third intensity value is set to 300 cd. Fig.14 The figure shows the vibration signal generated by the vibrating optical fiber 5 located at 200 meters (m) on the anti-throwing net 4 within the limit time of 450s-500s; at the 490th second, the maximum value of its vibration intensity is 290cd, indicating that the anti-throwing net 4 is subject to overturning limit at this time.
[0090] Combination Fig. 9 , the identification model of the overturning limit of deformation without recovery is:
[0091] When t∈(t b ,t1],η1 i (t)≤η2,S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t).
[0092] When t∈(t1,t e ], η2 i (t)≤η3,S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t).
[0093] When t>t e When S i (t) = η3, S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t), and at this time S i-m (t),…,S i-2 (t), S i-1 (t), S i+1 (t), S i+2 (t),…,S i+m The value of (t) remains unchanged.
[0094] In this identification model, the value of η1 is 2pm, the value of η2 is 100pm, the value of η3 is 300pm, and t b The value of is 18s, the value of t1 is 20s, and the value of t e The value is 30s.
[0095] That is, when t∈(18,20], 2 i (t)≤100,S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t).
[0096] When t∈(20,30], 100 <Si (t)≤300,S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t).
[0097] When t>30, S i (t) = 300, S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t), and as time goes by, S i-m (t),…,S i-2 (t), S i-1 (t), S i (t), S i+1 (t), S i+2 (t),…,S i+m The value of (t) gradually becomes stable and no longer changes.
[0098] Combination Fig.10 In this embodiment, when t=30, S i-2 (t) = 250, S i-1 (t) = 275, S i (t) = 300, S i+1 (t) = 285, S i+2 (t)=260.
[0099] Among them, t b <t1<t e , m∈(2,n], n represents the number of all fiber Bragg grating sensors 12, t represents the intrusion limit time, S i (t) represents the strain of the ith fiber Bragg grating sensor 12 when the anti-throwing net 4 is invaded, S i-m (t),…,S i-2 (t), S i-1 (t), S i+1 (t), S i+2 (t),…,S i+m (t) represents the strain of multiple fiber Bragg grating sensors 12 adjacent to the i-th fiber Bragg grating sensor 12, η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, t b represents the time when the anti-throwing net 4 begins to deform, t e It represents the time when the deformation state of the anti-throwing net 4 no longer changes, and t1 represents the intermediate time when the anti-throwing net 4 is invaded.
[0100] Further, such as Figure 2 As shown, when the monitoring host 3 is used to identify the type of intrusion on the anti-throwing net 4, the video monitoring information of the high-definition cameras 14 at both ends of the anti-throwing net 4 needs to be called to perform a second confirmation of the identified intrusion. After confirmation, an alarm is issued to remind the staff to maintain the anti-throwing net 4 in time to improve the safety of railway operation.
[0101] Corresponding to the vibration and stress dual sensing monitoring method of the above embodiment, Figure 2 A schematic diagram of the composition of the vibration and stress dual sensing 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.
[0102] refer to Figure 2 The system includes a deformation monitoring device 1, a vibration optical fiber 5, a demodulator 2 and a monitoring host 3. The deformation monitoring device 1 includes a steel strand 11, a fiber grating sensor 12, a transmission optical fiber 13 and a high-definition camera 14.
[0103] Specifically, the steel strand 11 is transversely fixed on the anti-throwing net 4; the fiber grating sensor 12 is transversely arranged on the load-bearing column 41 of the anti-throwing net 4, and is respectively connected to the steel strand 11 and the transmission optical fiber 13, and each fiber grating sensor 12 is spaced apart by a first distance, and in this embodiment, the first distance is 10 meters; the transmission optical fiber 13 is connected to the demodulator 2; and the high-definition camera 14 is respectively arranged at both ends of the anti-throwing net 4. The vibration optical fiber 5 is transversely fixed on the anti-throwing net 4, and the vibration optical fiber 5 and the demodulator 2 are respectively connected to the monitoring host 3.
[0104] The vibration optical fiber 5 is used to sense the vibration on the anti-throwing net 4 and convert it into a vibration signal. The fiber grating sensor 12 is used to monitor the deformation state of the anti-throwing net 4 and the steel strand 11 in real time, and convert the deformation state into a stress signal; the transmission optical fiber 13 is used to convert the stress signal and transmit it to the demodulator 2; the demodulator 2 is used to demodulate the converted stress signal to generate the deformation data of the anti-throwing net 4; the high-definition camera 14 is used to perform real-time video monitoring of the deformation state of the anti-throwing net 4. The monitoring host 3 is used to monitor the vibration signal from the vibration optical fiber 5 in real time, and determine the location and intensity of the vibration on the anti-throwing net 4 according to the vibration signal; the monitoring host 3 is also used to identify the type of intrusion behavior on the anti-throwing net 4 according to the vibration signal and deformation data, and is also used to call the video monitoring information of the anti-throwing net 4, reconfirm the type of intrusion behavior, and issue an alarm.
[0105] It should be noted that since the above-mentioned vibration and stress dual sensing monitoring system is based on the same concept as the method embodiment 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 aforementioned method, and will not be repeated here.
[0106] It can be seen that the present invention discloses a vibration and stress dual sensing monitoring method and system for an anti-throwing net, the method comprising the steps of: setting a vibration optical fiber on the anti-throwing net, monitoring the vibration from the anti-throwing net in real time and converting it into a vibration signal on the vibration optical fiber, and determining the position and intensity of the vibration on the anti-throwing net according to the vibration signal; and at least two rows of fiber grating sensors are evenly laid on the anti-throwing net to monitor the deformation state of the anti-throwing net in real time, and convert the deformation state into a stress signal; converting and demodulating the stress signal to obtain the deformation data of the anti-throwing net; and identifying the type of intrusion behavior suffered by the anti-throwing net according to the vibration signal and the deformation data. The present application realizes real-time monitoring of the deformation state of the anti-throwing net and early warning of intrusion behavior by setting a vibration optical fiber, a fiber grating sensor, and a transmission optical fiber on the anti-throwing net; accurately identifying the type of intrusion behavior suffered by the anti-throwing net through the monitoring host, and cooperating with the monitoring information of the high-definition camera to confirm the type of intrusion behavior suffered by the anti-throwing net for a second time, and issuing an alarm to remind the operation and maintenance personnel to maintain the anti-throwing net. It can not only provide early warning and accurate monitoring without wasting human resources due to false alarms, but also reflect the various states of the anti-throwing net in real time, allowing operation and maintenance personnel to perform targeted maintenance and saving maintenance time. At the same time, it improves the safety of railway operation and resolves safety hazards.
[0107] 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 dual-sensing monitoring method for vibration and stress of an anti-throwing net, characterized in that: Includes steps: A vibration optical fiber is arranged on the anti-throwing net to monitor the vibration from the anti-throwing net in real time and convert it into a vibration signal on the vibration optical fiber, and the position and intensity of the vibration on the anti-throwing net are determined according to the vibration signal; And, at least two rows of fiber grating sensors are evenly laid on the anti-throwing net to monitor the deformation state of the anti-throwing net in real time and convert the deformation state into a stress signal; Converting and demodulating the stress signal to obtain deformation data of the anti-throwing net; The type of the intrusion behavior to which the anti-throwing net is subjected is identified according to the vibration signal and the deformation data.
2. The vibration and stress dual sensing monitoring method according to claim 1 is characterized in that: The deformation data includes the intrusion range, the intrusion time and the strain of the intruded fiber grating sensor; If the strain amount is less than or equal to the first threshold value, and the maximum value of the vibration intensity of the vibration signal is less than or equal to the first intensity value, then the anti-throwing net is subjected to non-intrusive behavior; If the strain amount is greater than the first threshold value, and the maximum value of the vibration intensity is greater than the first intensity value, the anti-throwing net is subjected to an intrusion behavior.
3. The vibration and stress dual sensing monitoring method according to claim 2 is characterized in that: The step of identifying the type of intrusion behavior to which the anti-throwing net is subjected according to the vibration signal and the deformation data includes: The types of intrusions include foreign body intrusion, impact intrusion and overturning intrusion; If the strain is greater than the first threshold, and the strain is the strain of a single fiber Bragg grating sensor, and the maximum value of the vibration intensity is greater than the first intensity value and less than the second intensity value, it is identified that the anti-throwing net is invaded by foreign objects; If the strain amount is greater than the first threshold value, and the strain amounts are respectively the strain amounts of two or more and five or less fiber grating sensors, and the maximum value of the vibration intensity is greater than the third intensity value, then it is identified that the anti-throwing net is subjected to impact intrusion; If the strain value is greater than the first threshold value, and the strain values are the strain values of six or more fiber grating sensors, and the maximum value of the vibration intensity is greater than the second intensity value and less than the third intensity value, it is identified that the anti-throw net is subject to overturning.
4. The vibration and stress dual sensing monitoring method according to claim 3 is characterized in that: The foreign body intrusion limit includes the deformation unrecovered foreign body intrusion limit and the deformation recoverable foreign body intrusion limit; The identification model of the deformation-unrecovered foreign body intrusion limit is: When t∈(t b ,t1],η1 i (t)≤η2; When t∈(t1,t e ], η2 i (t)≤η3; When t>t e When S i (t) = η3; The deformation-recoverable foreign body intrusion recognition model is: When t∈(t b ,t1],η1 i (t)≤η2; When t∈(t1,t e ], η4≤S i (t) < η2; When t>t e When S i (t) = η4; Among them, η1≤η4<η2<η3, t b <t1<t e , t represents the intrusion time, S i (t) represents the strain of the ith fiber Bragg grating sensor when the anti-throwing net is invaded, η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, η4 represents the fourth threshold, t b represents the time when the anti-throwing net begins to deform, t e It represents the time when the deformation state of the anti-throwing net no longer changes, and t1 represents the intermediate time when the anti-throwing net is invaded.
5. The vibration and stress dual sensing monitoring method according to claim 4 is characterized in that: The value of η1 is 2pm, the value of η2 is 100pm, and the value of η3 is 250pm.
6. The vibration and stress dual sensing monitoring method according to claim 3 is characterized in that: The impact intrusion limit includes the impact intrusion limit of unrecovered deformation and the impact intrusion limit of recoverable deformation; The identification model of the deformation unrecovered impact intrusion limit is: When \(t\in(t b ,t_1]\), \(\eta_1 < S i (t)\leq\eta_2\), \(S i-2 (t)<S i-1 (t)<S i (t)\), \(S i+2 (t)<S i+1 (t)<S i (t)\); When t∈(t1,t e ], η2 i (t)≤η3,S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t); When t>t e When S i (t) = η3, S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t), and at this time S i-1 (t), S i+1 (t), S i-2 (t) and S i+2 The value of (t) remains unchanged; The identification model of the deformation-recoverable impact intrusion limit is: When t ∈ (t b , t1], η1 < S i (t) ≤ η2, S i-2 (t) < S i-1 (t) < S i (t), S i+2 (t) < S i+1 (t) < S i (t); When t ∈ (t1, t e , η4 ≤ S i (t) < η2, S i-2 (t) < S i-1 (t) < S i (t), S i+2 (t) < S i+1 (t) < S i (t); When t>t e When S i (t) = η4, S i-2 (t) i-1 (t) i (t), S i+2 (t) i+1 (t) i (t), and at this time S i-1 (t), S i+1 (t), S i-2 (t) and S i+2 The value of (t) remains unchanged; Among them, η1≤η4<η2<η3, t b <t1<t e , t represents the intrusion time, S i (t) represents the strain of the ith fiber Bragg grating sensor when the anti-throwing net is invaded, S i-1 (t), S i+1 (t), S i-2 (t), S i+2 (t) represents the strain of the four fiber Bragg grating sensors adjacent to the i-th fiber Bragg grating sensor on the left and right, η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, η4 represents the fourth threshold, t b represents the time when the anti-throwing net begins to deform, t e It represents the time when the deformation state of the anti-throwing net no longer changes, and t1 represents the intermediate time when the anti-throwing net is invaded.
7. The vibration and stress dual sensing monitoring method according to claim 6, characterized in that: The value of η1 is 2pm, the value of η2 is 100pm, and the value of η3 is 500pm.
8. The vibration and stress dual sensing monitoring method according to claim 3 is characterized in that: The overturning limit includes the overturning limit due to unrecovered deformation; The identification model of the deformation unrecovered overturning intrusion limit is: When t ∈ (t b , t1], η1 < S i (t) ≤ η2, S i-m (t) < … < S i-2 (t) < S i-1 (t) < S i (t) < S i+m (t) < … < S i+2 (t) < S i+1 (t) < S i (t); When t∈(t1,t e ], η2 i (t)≤η3,S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t); When t>t e When S i (t) = η3, S i-m (t)<… i-2 (t) i-1 (t) i (t), S i+m (t)<… i+2 (t) i+1 (t) i (t), and at this time S i-m (t),…,S i-2 (t), S i-1 (t), S i+1 (t), S i+2 (t),…,S i+m The value of (t) remains unchanged; Among them, t b <t1<t e , m∈(2,n], n represents the number of all the fiber Bragg grating sensors, t represents the intrusion limit time, S i (t) represents the strain of the ith fiber Bragg grating sensor when the anti-throwing net is invaded, S i-m (t),…,S i-2 (t), S i-1 (t), S i+1 (t), S i+2 (t),…,S i+m (t) represents the strain of the plurality of fiber Bragg grating sensors adjacent to the i-th fiber Bragg grating sensor, η1 represents the first threshold, η2 represents the second threshold, η3 represents the third threshold, t b represents the time when the anti-throwing net begins to deform, t e It represents the time when the deformation state of the anti-throwing net no longer changes, and t1 represents the intermediate time when the anti-throwing net is invaded.
9. The vibration and stress dual sensing monitoring method according to claim 8, characterized in that: The value of η1 is 2pm, the value of η2 is 100pm, and the value of η3 is 300pm.
10. A vibration and stress dual sensing monitoring system for an anti-throwing net, characterized in that: It includes deformation monitoring equipment, vibration optical fiber, demodulator and monitoring host, wherein the deformation monitoring equipment includes steel strand, optical fiber grating sensor, transmission optical fiber and high-definition camera; The steel strand is transversely fixed to the anti-throwing net; the fiber grating sensor is transversely arranged on the load-bearing column of the anti-throwing net and is respectively connected to the steel strand and the transmission optical fiber, and each of the fiber grating sensors is spaced a first distance apart; the transmission optical fiber is connected to the demodulator; the high-definition cameras are respectively arranged at both ends of the anti-throwing net; the vibration optical fiber is transversely fixed to the anti-throwing net, and the vibration optical fiber and the demodulator are respectively connected to the monitoring host; The vibration optical fiber is used to sense the vibration on the anti-throwing net and convert it into a vibration signal; the fiber grating sensor is used to monitor the deformation state of the anti-throwing net and the steel strand in real time, and convert the deformation state into a stress signal; the transmission optical fiber is used to convert the stress signal and transmit it to the demodulator; The demodulator is used to demodulate the transformed stress signal to generate deformation data of the anti-throwing net; The high-definition camera is used to perform real-time video monitoring of the deformation state of the anti-throwing net; the monitoring host is used to monitor the vibration signal from the vibrating optical fiber in real time, and determine the location and intensity of the vibration on the anti-throwing net based on the vibration signal; the monitoring host is also used to identify the type of invasive behavior to which the anti-throwing net is subjected based on the vibration signal and deformation data, and is also used to call the video monitoring information of the anti-throwing net, reconfirm the type of invasive behavior, and issue an alarm.