Bridge anomaly detection method and device combining displacement sensor and pressure sensor

Abstract

The invention relates to a bridge anomaly detection method and device combining a displacement sensor and a pressure sensor. The method comprises the following steps: taking two adjacent piers and a bridge floor section between the two piers as a detection unit; a detection period is preset, equal-interval sampling is conducted on any detection unit in the detection period, multiple pieces of sampling data are obtained, the sampling data comprise two sets of sensor data between two pairs of bridge piers and a bridge floor, and each set of sensor data comprises displacement sensor data and pressure sensor data; carrying out anomaly detection on the bridge by combining the sampling data, and judging whether a fracture anomaly condition exists or not; and when a fracture abnormal condition exists, giving an alarm. According to the bridge anomaly detection method and device, the data real-time performance is high, the detection effect is accurate, the fracture anomaly monitoring condition can be periodically obtained, and an administrator is assisted in correspondingly processing the bridge floor with the fracture anomaly condition in time.

Description

Technical Field

[0001] The present invention relates to the technical field related to bridge anomaly detection, and in particular to a bridge anomaly detection method and device combining a displacement sensor and a pressure sensor. Background Art

[0002] As an important infrastructure for transportation, bridges play a key role in ensuring the safe transportation of people and goods. However, due to a variety of factors, such as design defects, construction quality problems, material aging, natural disasters, and overloading, bridges may suffer structural damage or even collapse. In order to ensure the safety and reliability of bridges, timely bridge collapse detection is very necessary.

[0003] The existing bridge anomaly detection methods include sensor technology, non-destructive testing technology (detection by ultrasonic, radar, magnetic powder and penetration), load test technology, numerical simulation technology and risk assessment technology. Among them, sensor technology can perform real-time monitoring through preset sensors, but the current sensor technology only detects through simple threshold judgment, which is often lagging and requires particularly serious situations to detect and warn. Other technologies basically require preliminary experimental analysis, and the real-time performance is not high enough. Summary of the invention

[0004] The purpose of the present invention is to solve at least one of the deficiencies of the prior art and to provide a bridge anomaly detection method and device combining a displacement sensor and a pressure sensor.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: Specifically, a bridge anomaly detection method combining a displacement sensor and a pressure sensor is proposed, including the following: Two adjacent bridge piers and the bridge deck section therebetween are taken as a detection unit, and a displacement sensor and a pressure sensor are provided between two pairs of bridge piers and the bridge deck in each detection unit; A detection cycle is preset, and sampling is performed at equal intervals on any detection unit during the detection cycle to obtain a plurality of sampling data, wherein the sampling data includes two sets of sensor data between two pairs of bridge piers and the bridge deck, and each set of sensor data includes displacement sensor data and pressure sensor data; Combine sampling data to detect abnormalities on the bridge and determine whether there are abnormal fractures; When an abnormal fracture occurs, an alarm is given to the relevant management personnel, and the preset display device is controlled to display the preset content to warn nearby vehicles.

[0006] Further, specifically, the displacement sensor is constructed by an infrared sensor, wherein the infrared transmitter is arranged at the lower end of the bridge deck, and the reflecting surface is correspondingly arranged at the upper end of the bridge pier; the pressure sensor is constructed based on a Hall proximity sensor, wherein the Hall sensor is arranged at the lower end of the bridge deck, and the magnetic pole is correspondingly arranged at the upper end of the bridge pier.

[0007] Furthermore, specifically, the bridge is detected for abnormality in combination with the sampling data to determine whether there is abnormal fracture, including: For any detection unit, assuming that the preset detection period is T and the number of sampled data is N; First, the displacement sensor triggering times Q in the sampling data within T are obtained, where the displacement sensor triggering means that the reflective surface does not receive the signal of the infrared transmitter; Determine whether the triggering number Q is greater than the number threshold, and if so, determine that the displacement is abnormal; Then, N first pressure sensor data of the detection unit at the location in the sampling data within T are obtained, and then N second pressure sensor data of another detection unit at the same bridge deck as the detection unit at the location within T are obtained, and fusion data of the N first pressure sensor data and the N second pressure sensor data are calculated by taking an average value at the corresponding time, that is, N fused pressure sensor data are obtained; A plane coordinate system is constructed with the sampling time as the horizontal coordinate, the fused pressure sensor data as the vertical coordinate, and (0, 0) as the coordinate origin. At this time, there are N discrete points in the plane coordinate system whose horizontal coordinates are in the range of (T0, T0+T), and T0 is the starting time of the period T; Performing curve fitting on the N discrete points to obtain a first curve; The first curve is translated to the next period, i.e., the horizontal coordinate is within the range of (T0+T, T0+2T) to obtain the second curve, and the second curve is used to perform abnormal prediction on the N fused pressure sensor data of the next period; The abnormal prediction method is: The minimum distances between the discrete points formed by the N fused pressure sensor data within the range of (T0+T, T0+2T) and the second curve are calculated respectively to obtain N corresponding minimum distances, and the number Y of discrete points whose N corresponding minimum distances exceed the first threshold is counted. If the quantity Y is greater than the second threshold, it is determined that there is a pressure abnormality; If at least one of the displacement anomaly and the pressure anomaly exists, it is determined that a fracture anomaly exists at this time.

[0008] Furthermore, the method further comprises: When abnormal displacement is detected, the first threshold and the second threshold are corrected by preset coefficients, that is, the first threshold is updated to α times the original first threshold, and the second threshold is updated to α times the original second threshold, where the value range of α is (0, 1).

[0009] Furthermore, specifically, the curve fitting algorithm is a curve fitting algorithm based on the least squares method.

[0010] Furthermore, specifically, an alarm reminder is given to relevant management personnel in the form of a text message through a preset SIM card.

[0011] The present invention also proposes a device for detecting bridge anomalies by combining a displacement sensor and a pressure sensor, comprising the following: Multiple detection units, with two adjacent bridge piers and the bridge deck section between them as one detection unit, and a displacement sensor and a pressure sensor are set between the two pairs of bridge piers and the bridge deck in each detection unit; The control unit has a built-in 4G / 5G communication unit for receiving the reported data from each detection unit; The backend platform is used to receive the reported data uploaded by the control unit, perform abnormality detection on the bridge, and determine whether there is an abnormal fracture situation; When an abnormal fracture occurs, an alarm is given to the relevant management personnel, and the preset display device is controlled to display the preset content to warn nearby vehicles.

[0012] Furthermore, the device also includes: The drone system is used to dispatch drones to verify abnormal fracture conditions after relevant management personnel receive alarm information.

[0013] The beneficial effects of the present invention are: The present invention proposes a bridge anomaly detection method and device that combines displacement sensors and pressure sensors. The bridge deck is divided into multiple detection units based on the bridge piers, and a displacement sensor and a pressure sensor are set between the two pairs of bridge piers and the bridge deck in each detection unit. The displacement sensor and pressure sensor data sampled within a period T are combined to determine whether there is an abnormal fracture, and then an alarm is issued. The bridge anomaly detection method and device proposed by the present invention have high real-time data and accurate detection effect. It can periodically obtain abnormal fracture monitoring conditions, and assist administrators to promptly handle bridge decks with abnormal fractures. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The above and other features of the present disclosure will become more apparent by describing in detail the embodiments shown in the accompanying drawings. The same reference numerals in the accompanying drawings of the present disclosure represent the same or similar elements. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure. For those skilled in the art, other accompanying drawings can be obtained based on these accompanying drawings without creative work. In the accompanying drawings: Figure 1 It is a flow chart of the bridge abnormality detection method combining displacement sensor and pressure sensor of the present invention; Figure 2 It is a schematic diagram of the installation positions of the pressure sensor and the displacement sensor in the bridge abnormality detection method combining the displacement sensor and the pressure sensor of the present invention; Figure 3 Shown is a schematic diagram of a bridge anomaly detection device combining a displacement sensor and a pressure sensor according to the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments in this application and the features in the embodiments can be combined with each other without conflict. The same reference numerals used throughout the drawings indicate the same or similar parts.

[0016] Example 1, reference Figure 1 as well as Figure 2 The present invention proposes a bridge anomaly detection method combining a displacement sensor and a pressure sensor, comprising the following steps: Step 110, taking two adjacent bridge piers and the bridge deck section therebetween as a detection unit, and setting a displacement sensor and a pressure sensor between two pairs of bridge piers and the bridge deck in each detection unit; Step 120: Preset a detection cycle, perform equal-interval sampling on any detection unit in the detection cycle to obtain a plurality of sampling data, wherein the sampling data includes two sets of sensor data between two pairs of bridge piers and the bridge deck, and each set of sensor data includes displacement sensor data and pressure sensor data; Step 130, performing abnormality detection on the bridge in combination with the sampling data to determine whether there is an abnormal fracture situation; Step 140: When an abnormal fracture occurs, an alarm is given to the relevant management personnel, and a preset display device is controlled to display preset content to warn nearby vehicles.

[0017] In this embodiment 1, the bridge deck is divided into multiple detection units by using the bridge piers as sections, and a displacement sensor and a pressure sensor are set between the two pairs of bridge piers and the bridge deck in each detection unit. The displacement sensor and pressure sensor data sampled within a period T are combined to determine whether there is a fracture abnormality, and then an alarm is issued. The bridge abnormality detection method and device proposed in the present invention have high real-time data, accurate detection effect, and can periodically obtain fracture abnormality monitoring conditions, assisting administrators to promptly handle bridge decks with fracture abnormalities.

[0018] As a preferred embodiment of the present invention, specifically, the displacement sensor is constructed by an infrared sensor, wherein the infrared transmitter is arranged at the lower end of the bridge deck, and the reflecting surface is correspondingly arranged at the upper end of the bridge pier; the pressure sensor is constructed based on a Hall proximity sensor, wherein the Hall sensor is arranged at the lower end of the bridge deck, and the magnetic pole is correspondingly arranged at the upper end of the bridge pier.

[0019] In this preferred embodiment, the sensors are arranged in the above manner, which can meet the requirements of the solution proposed by the present invention.

[0020] As a preferred embodiment of the present invention, specifically, the abnormality detection of the bridge is performed in combination with the sampling data to determine whether there is an abnormal fracture, including: For any detection unit, assuming that the preset detection period is T and the number of sampled data is N; First, the displacement sensor triggering times Q in the sampling data within T are obtained, where the displacement sensor triggering means that the reflective surface does not receive the signal of the infrared transmitter; Determine whether the triggering number Q is greater than the number threshold, and if so, determine that the displacement is abnormal; Then, N first pressure sensor data of the detection unit at the location in the sampling data within T are obtained, and then N second pressure sensor data of another detection unit at the same bridge deck as the detection unit at the location within T are obtained, and fusion data of the N first pressure sensor data and the N second pressure sensor data are calculated by taking an average value at the corresponding time, that is, N fused pressure sensor data are obtained; A plane coordinate system is constructed with the sampling time as the horizontal coordinate, the fused pressure sensor data as the vertical coordinate, and (0, 0) as the coordinate origin. At this time, there are N discrete points in the plane coordinate system whose horizontal coordinates are in the range of (T0, T0+T), and T0 is the starting time of the period T; Performing curve fitting on the N discrete points to obtain a first curve; The first curve is translated to the next period, i.e., the horizontal coordinate is within the range of (T0+T, T0+2T) to obtain the second curve, and the second curve is used to perform abnormal prediction on the N fused pressure sensor data of the next period; The abnormal prediction method is: The minimum distances between the discrete points formed by the N fused pressure sensor data within the range of (T0+T, T0+2T) and the second curve are calculated respectively to obtain N corresponding minimum distances, and the number Y of discrete points whose N corresponding minimum distances exceed the first threshold is counted. If the quantity Y is greater than the second threshold, it is determined that there is a pressure abnormality; If at least one of the displacement anomaly and the pressure anomaly exists, it is determined that a fracture anomaly exists at this time.

[0021] In this preferred embodiment, considering that when the bridge deck breaks, the infrared sensor will be unable to receive the signal from the transmitting end due to the change in the relative position between the bridge deck and the bridge pier, but considering that there may be interference, a number threshold is set for judgment. As for the pressure sensor reading, considering that the pressure sensor reading should tend to a steady state in adjacent cycles, the above method is used to make an abnormal judgment.

[0022] As a preferred embodiment of the present invention, the method further comprises: When abnormal displacement is detected, the first threshold and the second threshold are corrected by preset coefficients, that is, the first threshold is updated to α times the original first threshold, and the second threshold is updated to α times the original second threshold, where the value range of α is (0, 1).

[0023] In this preferred embodiment, considering that when there is a displacement anomaly, there is a high probability that a pressure anomaly will also occur, the detection condition of the pressure anomaly is sensitized, that is, the relevant threshold is reduced by the coefficient α to improve the detection accuracy.

[0024] As a preferred implementation manner of the present invention, specifically, the curve fitting algorithm is a curve fitting algorithm based on the least squares method.

[0025] As a preferred implementation mode of the present invention, specifically, an alarm reminder is given to relevant management personnel in the form of a text message through a preset SIM card.

[0026] Reference Figure 3 The present invention also proposes a device for detecting bridge anomalies by combining a displacement sensor and a pressure sensor, comprising the following: Multiple detection units, with two adjacent bridge piers and the bridge deck section between them as one detection unit, and a displacement sensor and a pressure sensor are set between the two pairs of bridge piers and the bridge deck in each detection unit; The control unit has a built-in 4G / 5G communication unit for receiving the reported data from each detection unit; The backend platform is used to receive the reported data uploaded by the control unit, perform abnormality detection on the bridge, and determine whether there is an abnormal fracture situation; When an abnormal fracture occurs, an alarm is given to the relevant management personnel, and the preset display device is controlled to display the preset content to warn nearby vehicles.

[0027] As a preferred embodiment of the present invention, the device further comprises: The drone system is used to dispatch drones to verify abnormal fracture conditions after relevant management personnel receive alarm information.

[0028] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of software functional modules.

[0029] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or system that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0030] Although the description of the present invention has been quite detailed and specifically describes several described embodiments, it is not intended to be limited to any of these details or embodiments or any particular embodiment, but should be regarded as providing a broad possible interpretation of these claims in view of the prior art by reference to the appended claims, thereby effectively covering the intended scope of the present invention. In addition, the above description of the present invention is based on the embodiments foreseeable by the inventor, and its purpose is to provide a useful description, and those non-substantial changes to the present invention that have not yet been foreseen may still represent equivalent changes to the present invention.

[0031] The above is only a preferred embodiment of the present invention. The present invention is not limited to the above implementation. As long as the technical effect of the present invention is achieved by the same means, it should belong to the protection scope of the present invention. Within the protection scope of the present invention, its technical scheme and / or implementation method can have various modifications and changes.

Claims

1. A bridge anomaly detection method combining a displacement sensor and a pressure sensor, characterized in that: Includes the following: Two adjacent bridge piers and the bridge deck section therebetween are taken as a detection unit, and a displacement sensor and a pressure sensor are provided between two pairs of bridge piers and the bridge deck in each detection unit; A detection cycle is preset, and sampling is performed at equal intervals on any detection unit during the detection cycle to obtain a plurality of sampling data, wherein the sampling data includes two sets of sensor data between two pairs of bridge piers and the bridge deck, and each set of sensor data includes displacement sensor data and pressure sensor data; Combine sampling data to detect abnormalities on the bridge and determine whether there are abnormal fractures; When an abnormal fracture occurs, an alarm is given to the relevant management personnel, and the preset display device is controlled to display the preset content to warn nearby vehicles.

2. The bridge anomaly detection method using a combined displacement sensor and a pressure sensor according to claim 1, characterized in that: Specifically, the displacement sensor is constructed by an infrared sensor, wherein the infrared transmitter is arranged at the lower end of the bridge deck, and the reflecting surface is correspondingly arranged at the upper end of the bridge pier; the pressure sensor is constructed based on a Hall proximity sensor, wherein the Hall sensor is arranged at the lower end of the bridge deck, and the magnetic pole is correspondingly arranged at the upper end of the bridge pier.

3. The bridge anomaly detection method using a combined displacement sensor and a pressure sensor according to claim 2 is characterized in that: Specifically, the bridge is detected for abnormality based on the sampling data to determine whether there is abnormal fracture, including: For any detection unit, assuming that the preset detection period is T and the number of sampled data is N; First, the displacement sensor triggering times Q in the sampling data within T are obtained, where the displacement sensor triggering means that the reflective surface does not receive the signal of the infrared transmitter; Determine whether the triggering number Q is greater than the number threshold, and if so, determine that the displacement is abnormal; Then, N first pressure sensor data of the detection unit at the location in the sampling data within T are obtained, and then N second pressure sensor data of another detection unit at the same bridge deck as the detection unit at the location within T are obtained, and fusion data of the N first pressure sensor data and the N second pressure sensor data are calculated by taking an average value at the corresponding time, that is, N fused pressure sensor data are obtained; A plane coordinate system is constructed with the sampling time as the horizontal coordinate, the fused pressure sensor data as the vertical coordinate, and (0, 0) as the coordinate origin. At this time, there are N discrete points in the plane coordinate system whose horizontal coordinates are in the range of (T0, T0+T), and T0 is the starting time of the period T; Performing curve fitting on the N discrete points to obtain a first curve; The first curve is translated to the next period, i.e., the horizontal coordinate is within the range of (T0+T, T0+2T) to obtain the second curve, and the second curve is used to perform abnormal prediction on the N fused pressure sensor data of the next period; The abnormal prediction method is: The minimum distances between the discrete points formed by the N fused pressure sensor data within the range of (T0+T, T0+2T) and the second curve are calculated respectively to obtain N corresponding minimum distances, and the number Y of discrete points whose N corresponding minimum distances exceed the first threshold is counted. If the quantity Y is greater than the second threshold, it is determined that there is a pressure abnormality; If at least one of the displacement anomaly and the pressure anomaly exists, it is determined that a fracture anomaly exists at this time.

4. The bridge anomaly detection method using a combined displacement sensor and a pressure sensor according to claim 3 is characterized in that: The method further comprises, When abnormal displacement is detected, the first threshold and the second threshold are corrected by preset coefficients, that is, the first threshold is updated to α times the original first threshold, and the second threshold is updated to α times the original second threshold, where the value range of α is (0, 1).

5. The bridge anomaly detection method combining displacement sensor and pressure sensor according to claim 3 is characterized in that: Specifically, the curve fitting algorithm is a curve fitting algorithm based on the least squares method.

6. The bridge anomaly detection method combining displacement sensor and pressure sensor according to claim 1, characterized in that: Specifically, an alarm is sent to relevant management personnel in the form of a text message through a preset SIM card.

7. A device for detecting bridge anomalies by combining a displacement sensor and a pressure sensor, characterized in that: Includes the following: Multiple detection units, with two adjacent bridge piers and the bridge deck section between them as one detection unit, and a displacement sensor and a pressure sensor are set between the two pairs of bridge piers and the bridge deck in each detection unit; The control unit has a built-in 4G / 5G communication unit for receiving the reported data from each detection unit; The backend platform is used to receive the reported data uploaded by the control unit, perform abnormality detection on the bridge, and determine whether there is an abnormal fracture situation; When an abnormal fracture occurs, an alarm is given to the relevant management personnel, and the preset display device is controlled to display the preset content to warn nearby vehicles.

8. The device for detecting bridge anomalies by combining a displacement sensor and a pressure sensor according to claim 7, characterized in that: The device further comprises: The drone system is used to dispatch drones to verify abnormal fracture conditions after relevant management personnel receive alarm information.

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