Road whole-line disaster early warning and identification method based on distributed optical fibers

Abstract

The invention provides a highway whole-line disaster early warning and identification method based on distributed optical fibers. The method comprises the following steps: carrying out displacement monitoring on a highway whole line through the distributed optical fibers; receiving the real-time displacement data transmitted by the distributed optical fiber through a receiving cabinet, and identifying and analyzing the received real-time displacement data through a data intelligent analysis and identification technology in the receiving cabinet; and the receiving cabinet triggers an early warning mechanism and a disaster alarm mechanism according to the identification and analysis result, so as to timely send early warning information or disaster alarm information to workers at the monitoring center. According to the method, comprehensive risk monitoring and early warning can be performed on the road according to the displacement monitoring data before a disaster occurs, and the method also has the capability of quickly identifying and fully automatically triggering an alarm device after the disaster occurs, so that the occurrence of accidents is greatly reduced, and the accident response efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of highway disaster prediction and identification, and in particular to a highway disaster early warning and identification method based on distributed optical fiber. Background Art

[0002] With the widespread deployment of China's Beidou satellite navigation system, structural safety monitoring and early warning technology has ushered in revolutionary progress, greatly improving the ability to identify and warn of potential dangers in key transportation infrastructure such as roads and bridges. However, their high cost has become a stumbling block to popularization. The cost issue limits the widespread application of the technology. Monitoring and early warning can only be deployed at key locations of the structure, and it is impossible to conduct comprehensive risk monitoring and early warning of the structure. The consequences of this limitation are obvious. For example, bridge accidents have occurred from time to time in recent years, such as the collapse of the Meida Expressway in May 2024, the unilateral collapse of the highway bridge in the Shuiyang section of the Danning Expressway in July, and the sudden collapse of the tunnel bridge of the Yakang Expressway in Sichuan in August, etc., which not only caused huge economic losses, but also posed a serious threat to people's lives. In addition, when the collapse accident occurs at night or in areas with limited vision such as turns, it is difficult for subsequent vehicles to detect the danger ahead in time, which often causes a chain reaction and increases casualties.

[0003] In view of the above problems, a Chinese invention patent with publication number CN106248270A proposes a method for real-time continuous measurement of stress changes. The fiber optic sensing technology used is to put a fiber optic grating into a steel cable instead of a strand of steel wire. Based on the change in displacement, the stress at each position of the steel cable is obtained in real time. Based on the real-time and continuous detection of the stress at each position of the steel cable, disaster warning is achieved, which also brings convenience to maintenance, so that the staff can easily and directly know the specific location and degree of potential danger. However, this method is not suitable for concrete bridges without steel cables, etc., and it is impossible to provide a comprehensive warning for them, and the method cannot identify disasters and alarm. Another Chinese utility model with announcement number CN206784456U proposes a subway foundation pit displacement monitoring system, which uses distributed gratings, processing units and alarm devices to achieve comprehensive monitoring and early warning of subway foundation pit displacement, but the device cannot distinguish between disaster warning (disaster predicted but not occurring) and disaster suddenness and trigger different mechanisms, and the alarm device of the device only has sound and light alarms, which can only issue early warnings to vehicles on both sides of the disaster. There are no alarm devices such as information boards at the entrances and ramps of the highway, which cannot remind vehicles on the disaster driving route to leave, which easily causes vehicle congestion on the road sections near the disaster. Therefore, it is urgent to propose an economical and efficient disaster warning and identification method to achieve full coverage of highway bridge risks before the disaster, and rapid identification and alarm after the disaster. Summary of the invention

[0004] In view of the above, it is necessary to provide a highway disaster warning and identification method based on distributed optical fiber. This method can not only conduct comprehensive risk monitoring and early warning of the highway according to displacement monitoring data before a disaster occurs, but also has the ability to quickly identify and automatically trigger the alarm device after a disaster occurs, which greatly reduces the occurrence of accidents and improves the efficiency of accident response.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] A highway disaster warning and identification method based on distributed optical fiber, wherein the warning and identification method adopts a warning and identification system;

[0007] The early warning and identification system includes a distributed optical fiber, a receiving cabinet and an alarm device; the distributed optical fiber is arranged along the highway to continuously and in real time monitor the displacement changes of the road; the receiving cabinet is arranged on one side of the highway, and one is arranged at every preset interval, for receiving and processing the displacement data of the distributed optical fiber in real time monitoring within the preset interval, and based on the received displacement data, predicting or identifying disasters on the highway, and triggering an early warning mechanism or a disaster alarm mechanism based on the prediction or identification results, wherein when the disaster alarm mechanism is triggered, the alarm device is also triggered to sound an alarm; the alarm device includes an audible and visual alarm module, a projection spotlight and an information board, wherein the audible and visual alarm module and the projection spotlight are arranged on both sides of the highway, and the information board is installed at the entrance and ramp of the highway;

[0008] The specifics of the early warning and identification method are:

[0009] Displacement monitoring of the entire highway is carried out through distributed optical fiber;

[0010] The real-time displacement data transmitted by the distributed optical fiber is received through the receiving cabinet, and the received real-time displacement data is identified and analyzed in the receiving cabinet through data intelligent analysis and identification technology; the receiving cabinet triggers the early warning mechanism when the identification and analysis results show that the real-time displacement data is between the normal threshold and the disaster risk threshold, and the early warning mechanism triggers the sound and light alarm module of the alarm device to start and locate the abnormal position, and synchronizes the abnormal data and position to the cloud platform to send early warning information to the staff at the monitoring center; the receiving cabinet triggers the disaster alarm mechanism when the identification and analysis results show that the real-time displacement data is greater than the disaster risk threshold, and the disaster alarm mechanism triggers the alarm device to start, and synchronizes the information to the cloud platform to send disaster alarm information to the staff at the monitoring center.

[0011] Preferably, the distributed optical fiber is arranged beside the guardrail outside the emergency lane of the highway to monitor the displacement change on both sides of the highway, and is arranged on one side of the central guardrail of the highway to monitor the displacement change at the center of the highway.

[0012] Preferably, the preset distance is 200 km.

[0013] Preferably, the sound and light alarm module includes but is not limited to a tweeter, a flashing light, and a red and green alarm light.

[0014] Preferably, there is more than one type of alarm device at the same location.

[0015] Preferably, the alarm device is connected to the receiving cabinet via lora wireless communication.

[0016] Preferably, the alarm device has a control switch key, and the start and stop of the alarm device are manually controlled by the control switch key.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] 1. The method for early warning and identification of disasters along the entire highway line based on distributed optical fibers disclosed in the present invention performs real-time displacement monitoring of the entire highway line by laying distributed optical fibers along the entire highway line, and analyzes and identifies highway disasters based on real-time displacement monitoring, thereby performing disaster early warning and alarm. Therefore, the method of the present invention can not only perform comprehensive risk monitoring and early warning of the highway based on displacement monitoring data before a disaster occurs, but also has the ability to quickly identify and automatically trigger an alarm device after a disaster occurs, thereby greatly reducing the occurrence of accidents and improving the efficiency of accident response.

[0019] 2. Compared with other existing monitoring and early warning technologies, the highway disaster warning and identification method based on distributed optical fiber disclosed in the present invention is deployed in the entire structure rather than in key positions of the structure. It can conduct comprehensive risk monitoring and early warning of the highway, achieve comprehensive risk coverage, and effectively ensure the safety of the structure.

[0020] 3. The device used in the present invention is simple, low in cost, highly applicable, economical and efficient, and has high promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a fiber layout diagram of distributed optical fiber on highway.

[0022] Figure 2 It is a flow chart of the method provided by the present invention.

[0023] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0024] In a preferred embodiment of the present invention, a method for early warning and identification of disasters along the entire highway is provided based on distributed optical fibers, and the method for early warning and identification adopts an early warning and identification system.

[0025] The early warning and identification system includes distributed optical fibers, a receiving cabinet and an alarm device.

[0026] The distributed optical fiber is laid along the highway to continuously and in real time monitor the displacement changes of the road, so as to achieve comprehensive monitoring of highway risks. In this embodiment, the distributed optical fiber is arranged next to the guardrail outside the emergency lane of the highway to monitor the displacement changes on both sides of the highway, and is arranged on the side of the central guardrail of the highway to monitor the displacement changes at the center of the highway. For example, for a highway, a total of 3 distributed optical fibers are laid, of which 2 optical fibers are arranged next to the guardrail outside the emergency lane, and the other optical fiber is arranged on one side of the central guardrail of the highway. Among them, since the spacing between the middle center guardrails is small, optical fibers are only laid around one side of the center guardrail. It should be noted that the above-mentioned optical fiber is arranged in a non-driving lane, so that the optical fiber is not easily damaged. The elevation view of the specific layout of the optical fiber on the highway is as follows Figure 1 As shown, the circles in the figure represent the optical fiber laying positions.

[0027] The receiving cabinet is arranged on one side of the highway, and one is arranged at every preset interval, such as 200km in the present embodiment, for receiving and processing the displacement data of the distributed optical fiber real-time monitoring within the preset interval, and based on the received displacement data analysis, predicting or identifying disasters on the highway, and triggering the early warning mechanism or disaster alarm mechanism based on the prediction or identification results, wherein when the disaster alarm mechanism is triggered, the alarm device is also triggered to sound an alarm. That is, the receiving cabinet of the present invention is used to receive the displacement data measured by the optical fiber, and is responsible for efficiently, automatically and accurately judging whether the displacement is abnormal, and can predict and identify highway disasters. It has a built-in early warning mechanism and disaster alarm mechanism. After predicting or identifying a disaster, it can quickly alarm and locate, and synchronize abnormal data and location to the cloud platform. In the present invention, the receiving cabinet uses built-in data intelligent analysis and identification technology to analyze the received displacement data, and predict / identify disasters on the highway according to the displacement change value. The data intelligent analysis and identification technology is based on the existing data of road and bridge disaster videos in night, rainy and foggy weather, etc., and automatically learns the inherent laws and characteristics of the data, and divides the displacement change value into three ranges, namely normal, warning and disaster alarm, so as to achieve accurate prediction and identification of disaster events. The warning mechanism and disaster alarm mechanism built into the receiving cabinet can be triggered according to the analysis results after data analysis, wherein the warning mechanism is triggered when the displacement change exceeds the normal value but does not reach the disaster alarm. After the warning mechanism is triggered, the sound and light alarm device is activated, the abnormal position is located, and the abnormal data and position are synchronized to the cloud platform. The staff (maintenance unit on-duty personnel) go to the warning position in time to intervene and ensure the safety of the bridge, and the disaster alarm mechanism is triggered when the displacement change reaches the disaster alarm. The disaster identification and alarm time of the receiving cabinet is ≤1s, and the disaster alarm mechanism is quickly triggered, and the alarm device is quickly activated. At the same time, the information is synchronized to the management and maintenance unit for emergency planning to reduce the impact of secondary disasters.

[0028] In the present invention, the alarm device is quickly turned on after being triggered by the receiving cabinet, reminding passing vehicles of the danger ahead, and synchronously pushes the information to the supervision and maintenance units, etc., to intervene or start relevant emergency plans. Specifically, the alarm device of the present invention includes an audio-visual alarm module, a projection spotlight, and an information board, wherein the audio-visual alarm module and the projection spotlight are arranged on both sides of the highway. Once the highway section triggers the early warning mechanism / disaster alarm mechanism, it is quickly turned on to remind nearby vehicles to take emergency braking and avoidance measures. The information board is installed at the entrance and ramp position of the highway. Once the disaster alarm mechanism is triggered, it is quickly turned on to induce vehicles to leave and bypass to take diversion measures to alleviate the rescue difficulties caused by congestion. In this embodiment, the audio-visual alarm module includes but is not limited to a tweeter, a flashing light, and a red and green alarm light; there is more than one type of alarm device at the same position; the alarm device is connected to the receiving cabinet via lora wireless communication. It should be noted that the alarm devices are independent of each other. If a certain alarm device is damaged and cannot work, it will not affect the operation of other alarm devices. In addition, the alarm device of the present embodiment has a control switch key, through which the start and stop of the alarm device are manually controlled. That is, the alarm device of the present embodiment has two triggering mechanisms. One is a fully automatic trigger, which is automatically triggered after the receiving cabinet predicts or identifies a road disaster, thereby reducing delays caused by human response and other problems. The other is a manual trigger, which can be manually triggered or released by the monitoring center or on-site, making it convenient for on-site staff to release the alarm after intervening in and handling abnormal road conditions.

[0029] See also Figure 2 Based on the above-mentioned early warning and identification system, the early warning and identification method is specifically as follows:

[0030] Displacement monitoring of the entire highway is carried out through distributed optical fiber;

[0031] The real-time displacement data transmitted by the distributed optical fiber is received through the receiving cabinet, and the received real-time displacement data is identified and analyzed in the receiving cabinet through data intelligent analysis and identification technology; the receiving cabinet triggers the early warning mechanism when the identification and analysis results show that the real-time displacement data is between the normal threshold and the disaster risk threshold, and the early warning mechanism triggers the sound and light alarm module of the alarm device to start and locate the abnormal position, and synchronizes the abnormal data and position to the cloud platform to send early warning information to the staff at the monitoring center; the receiving cabinet triggers the disaster alarm mechanism when the identification and analysis results show that the real-time displacement data is greater than the disaster risk threshold, and the disaster alarm mechanism triggers the alarm device to start, and synchronizes the information to the cloud platform to send disaster alarm information to the staff at the monitoring center.

[0032] In the present invention, the normal threshold and the disaster risk threshold are obtained by training, learning and analyzing the data intelligent analysis and identification technology based on the existing data. The data intelligent analysis and identification technology is a prior art, which is applied in the utility model CN206784456U.

[0033] The above description is a detailed description of the preferred feasible embodiments of the present invention, but the embodiments are not intended to limit the scope of the patent application of the present invention. All equivalent changes or modified changes completed under the technical spirit suggested by the present invention should fall within the patent scope covered by the present invention.

Claims

1. A highway disaster warning and identification method based on distributed optical fiber, characterized in that: The early warning and identification method adopts an early warning and identification system; The early warning and identification system includes a distributed optical fiber, a receiving cabinet and an alarm device; the distributed optical fiber is arranged along the highway to continuously and in real time monitor the displacement changes of the road; the receiving cabinet is arranged on one side of the highway, and one is arranged at every preset interval, for receiving and processing the displacement data of the distributed optical fiber in real time monitoring within the preset interval, and based on the received displacement data, predicting or identifying disasters on the highway, and triggering an early warning mechanism or a disaster alarm mechanism based on the prediction or identification results, wherein when the disaster alarm mechanism is triggered, the alarm device is also triggered to sound an alarm; the alarm device includes an audible and visual alarm module, a projection spotlight and an information board, wherein the audible and visual alarm module and the projection spotlight are arranged on both sides of the highway, and the information board is installed at the entrance and ramp of the highway; The specifics of the early warning and identification method are: Displacement monitoring of the entire highway is carried out through distributed optical fiber; The real-time displacement data transmitted by the distributed optical fiber is received through the receiving cabinet, and the received real-time displacement data is identified and analyzed in the receiving cabinet through data intelligent analysis and identification technology; the receiving cabinet triggers the early warning mechanism when the identification and analysis results show that the real-time displacement data is between the normal threshold and the disaster risk threshold, and the early warning mechanism triggers the sound and light alarm module of the alarm device to start and locate the abnormal position, and synchronizes the abnormal data and position to the cloud platform to send early warning information to the staff at the monitoring center; the receiving cabinet triggers the disaster alarm mechanism when the identification and analysis results show that the real-time displacement data is greater than the disaster risk threshold, and the disaster alarm mechanism triggers the alarm device to start, and synchronizes the information to the cloud platform to send disaster alarm information to the staff at the monitoring center.

2. The method for early warning and identification of highway disasters based on distributed optical fiber according to claim 1, characterized in that: The distributed optical fiber is arranged beside the guardrail outside the emergency lane of the highway to monitor the displacement change on both sides of the highway, and is arranged on one side of the central guardrail of the highway to monitor the displacement change at the center of the highway.

3. The method for early warning and identification of highway disasters based on distributed optical fiber according to claim 1, characterized in that: The preset distance is 200 km.

4. The method for early warning and identification of highway disasters based on distributed optical fiber according to claim 1, characterized in that: The sound and light alarm module includes but is not limited to a tweeter, a flashing light, and a red and green alarm light.

5. The method for early warning and identification of highway disasters based on distributed optical fiber according to claim 1, characterized in that: There is more than one type of alarm device at the same location.

6. The method for early warning and identification of highway disasters based on distributed optical fiber according to claim 1, characterized in that: The alarm device is connected to the receiving cabinet via lora wireless communication.

7. The method for early warning and identification of highway disasters based on distributed optical fiber according to claim 1, characterized in that: The alarm device has a control switch key, through which the start and stop of the alarm device are manually controlled.

Images