Fault diagnosis system and method based on expansion joint voiceprint and vibration

Abstract

The invention relates to a fault diagnosis system and method based on expansion joint voiceprint and vibration, and the system comprises a sensor which is disposed at a bridge expansion joint and is used for obtaining a sound signal and a vibration signal when a vehicle passes through the bridge expansion joint; the gateway is used for judging whether the vehicle passes through the bridge expansion joint based on the vibration signal; extracting time-domain features and frequency-domain features of sound signals and time-domain features and frequency-domain features of vibration signals when a vehicle passes through the bridge expansion joint; and according to the time domain feature and the frequency domain feature of the sound signal and the time domain feature and the frequency domain feature of the vibration signal, judging whether the bridge expansion joint has a fault or not. According to the invention, the method reduces the cost of manual inspection of the expansion joint through the sum judgment of the sound signal and the vibration signal of the vehicle passing through the bridge expansion joint, and improves the automation degree and accuracy of fault judgment.

Description

Technical Field

[0001] The present invention belongs to the technical field of bridge health monitoring, and particularly relates to a fault diagnosis system and method based on the sound pattern and vibration of expansion joints. Background Art

[0002] The expansion joint is an important connecting component between the beam ends of a bridge, and plays an important role in the expansion and waterproofing of the bridge ends. The expansion joint device is an important component of the bridge structure. An ideal expansion joint device must meet the displacement between the upper structure beams and between the beam and the abutment; the anchorage of the expansion joint device is firm, reliable and durable, and can resist mechanical wear and collision; the vehicle travels smoothly and comfortably; it can prevent rainwater and garbage from seeping in; it is easy to install, simple, easy to inspect and convenient for maintenance workers to operate.

[0003] With the increase in traffic volume and the increase in vehicle load, the bridge deck expansion joint is directly subjected to the repeated impact of wheel loads because it is set at the weak part of the beam end structure. Moreover, it is exposed to nature for a long time and the environment is relatively harsh. Due to material wear and fatigue, and the insufficient bonding strength between the concrete slab and the beam, it is the part of the bridge structure that is most vulnerable to damage and difficult to repair.

[0004] Since the number of expansion joints at the line level is large, the maintenance of the expansion joints of the passing vehicles can only be checked manually at present. This is quite difficult and time-consuming. Due to the long line, it is not convenient for manual long-distance inspection. Most expressways are under closed management and the vehicle speed is fast. It is dangerous for manual long-distance walking inspection. Therefore, it is very important to invent a disease identification device for expansion joints. Summary of the Invention

[0005] To solve the problems of high cost, low efficiency and high danger degree in manual inspection of bridge expansion joints, in the first aspect of the present invention, a fault diagnosis system based on the sound pattern and vibration of expansion joints is provided, including: sensors arranged at the bridge expansion joints for acquiring the sound signals and vibration signals of vehicles passing through the bridge expansion joints; a gateway for judging whether a vehicle passes through the bridge expansion joint based on the vibration signal; extracting the time-domain features, frequency-domain features of the sound signals of the vehicle when passing through the bridge expansion joint, and the time-domain features, frequency-domain features of the vibration signals; and judging whether the bridge expansion joint has a fault according to the time-domain features, frequency-domain features of the sound signals, and the time-domain features, frequency-domain features of the vibration signals.

[0006] In some embodiments of the present invention, the gateway includes: a first judgment module for judging whether a vehicle passes through a bridge expansion joint based on a vibration signal; an extraction module for extracting the time-domain features and frequency-domain features of the sound signal when the vehicle passes through the bridge expansion joint; a second judgment module for jointly judging whether the bridge expansion joint fails according to the time-domain features and frequency-domain features of the sound signal, and the time-domain features and frequency-domain features of the vibration signal.

[0007] Further, the first judgment module includes: an identification unit for identifying the time and the number of passages of the vehicle passing through the bridge expansion joint; a judgment unit for judging whether each identified vehicle passes through the expansion joint according to the threshold value of the vibration mean value of the expansion joint.

[0008] Further, the extraction module includes: a first extraction unit for extracting the amplitude, frequency and power spectrum vector of the sound signal when the vehicle passes through the bridge expansion joint; a second extraction unit for extracting the maximum acceleration, frequency and power spectrum vector of the vibration signal when the vehicle passes through the bridge expansion joint.

[0009] Preferably, the second judgment module includes: a first judgment unit for taking that the power spectrum value vector of the sound signal is greater than a first threshold value as a first condition; a second judgment unit for taking the comparison result that the power spectrum value vector of the vibration signal is greater than a second threshold value as a second condition; a third judgment unit for jointly judging whether the bridge expansion joint fails based on the first condition and the second condition.

[0010] Furthermore, judging whether the bridge expansion joint fails according to the first condition and the second condition includes: if the first condition and the second condition are both satisfied, it is judged that the bridge expansion joint fails.

[0011] In a second aspect of the present invention, a fault diagnosis method based on the sound pattern and vibration of the expansion joint is provided, including: acquiring the sound signal and vibration signal of the vehicle passing through the bridge expansion joint; judging whether the vehicle passes through the bridge expansion joint based on the vibration signal; extracting the time-domain features and frequency-domain features of the sound signal when the vehicle passes through the bridge expansion joint, and the time-domain features and frequency-domain features of the vibration signal; judging whether the bridge expansion joint fails according to the time-domain features and frequency-domain features of the sound signal, and the time-domain features and frequency-domain features of the vibration signal.

[0012] Further, extracting the time-domain features and frequency-domain features of the sound signal when the vehicle passes through the bridge expansion joint, and the time-domain features and frequency-domain features of the vibration signal includes: extracting the amplitude, frequency and power spectrum vector of the sound signal when the vehicle passes through the bridge expansion joint; extracting the maximum acceleration, frequency and power spectrum vector of the vibration signal when the vehicle passes through the bridge expansion joint.

[0013] In a third aspect of the present invention, there is provided an electronic device, including: one or more processors; a storage device for storing one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement the fault diagnosis method based on expansion joint sound patterns and vibrations provided in the second aspect of the present invention.

[0014] In a fourth aspect of the present invention, there is provided a computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the fault diagnosis method based on expansion joint sound patterns and vibrations provided in the second aspect of the present invention.

[0015] The beneficial effects of the present invention are as follows:

[0016] In this solution, by obtaining the sound and vibration indicators of the bridge expansion joint, and by comparing the sound volume, frequency range, vibration magnitude and frequency range, and comparing with the information in the expansion joint disease library, the expansion joint disease identification is completed. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the basic structure of a fault diagnosis system based on expansion joint sound patterns and vibrations in some embodiments of the present invention;

[0018] Figure 2 It is a schematic diagram of the specific process of a fault diagnosis system based on expansion joint sound patterns and vibrations in some embodiments of the present invention;

[0019] Figure 3 It is a schematic diagram of the sound amplitude of the expansion joint in some embodiments of the present invention;

[0020] Figure 4 It is a schematic diagram of the sound frequency distribution of the expansion joint in some embodiments of the present invention;

[0021] Figure 5 It is a schematic diagram of the vibration amplitude of the expansion joint in some embodiments of the present invention;

[0022] Figure 6 It is a schematic diagram of the vibration frequency distribution of the expansion joint in some embodiments of the present invention;

[0023] Figure 7 It is a schematic diagram of the specific implementation process of a fault diagnosis system based on expansion joint sound patterns and vibrations in some embodiments of the present invention;

[0024] Figure 8 It is a schematic diagram of the process of a fault diagnosis method based on expansion joint sound patterns and vibrations in some embodiments of the present invention;

[0025] Figure 9 It is a schematic diagram of the structure of an electronic device in some embodiments of the present invention.

[0026] Reference numerals

[0027] 11 Sensor; 12 Gateway; 3. Bridge expansion joint. Detailed implementation manners

[0028] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0029] Refer to Figure 1 and Figure 2 , in the first aspect of the present invention, a fault diagnosis system 1 based on the sound pattern and vibration of the expansion joint is provided, including: a sensor 11, arranged at the bridge expansion joint 3, for acquiring the sound signal and vibration signal of the vehicle passing through the bridge expansion joint 3; a gateway 12, for judging whether the vehicle passes through the bridge expansion joint 3 based on the vibration signal; extracting the time-domain features, frequency-domain features of the sound signal when the vehicle passes through the bridge expansion joint 3, and the time-domain features, frequency-domain features of the vibration signal; judging whether the bridge expansion joint 3 fails according to the time-domain features, frequency-domain features of the sound signal, and the time-domain features, frequency-domain features of the vibration signal.

[0030] Refer to Figures 3 to 7 , in some embodiments of the present invention, the gateway 12 includes:

[0031] A first judgment module, for judging whether the vehicle passes through the bridge expansion joint 3 based on the vibration signal;

[0032] Furthermore, the first judgment module includes: an identification unit, for identifying the time and passing times of the vehicle passing through the bridge expansion joint 3; a judgment unit, for judging whether each identified vehicle passes through the bridge expansion joint 3 according to the threshold of the vibration mean value of the bridge expansion joint 3.

[0033] Specifically, the time t and passing times N of the vehicle passing through the bridge expansion joint 3 are identified through the vibration monitoring information. Each time, the sound and vibration signals of the monitored bridge expansion joint 3 are analyzed in real time, and the analyzed data is statistically analyzed for calculating the trigger threshold design. According to the formula α i = max(v i ) to calculate the real-time maximum value. When α i > α yz , calculate the vibration mean value of passing through the bridge expansion joint 3 according to the formula . If , it is considered that there is a vehicle passing through the bridge expansion joint 3 at this time. Among them, v i is the vibration time history data.

[0034] An extraction module for extracting the time-domain features and frequency-domain features of the sound signal when the vehicle passes through the bridge expansion joint 3; further, the extraction module includes:

[0035] A first extraction unit for extracting the amplitude, frequency, and power spectrum vector of the sound signal when the vehicle passes through the bridge expansion joint 3;

[0036] Specifically, the analysis results when the vehicle passes through the bridge expansion joint 3 each time include two parts, the intensity of the sound and the spectral analysis result of the sound. The intensity of the sound is obtained according to formula (1), and the spectral analysis result of the sound is stored and obtained according to (3), where (2) is the initial spectral analysis result in the initial stage of the construction of the bridge expansion joint 3:

[0037] α i = max(v i ) (1),

[0038]

[0039] where v i is the vibration time history data, α i is the maximum value of the sound, f vocice_0 is the initial sound frequency domain vector, where f v0 is the sound frequency vector, P V0 is the sound power spectrum value vector corresponding to f v0 . i represents the number of times passing through the bridge expansion joint 3.

[0040] A second extraction unit for extracting the maximum acceleration, frequency, and power spectrum vector of the vibration signal when the vehicle passes through the bridge expansion joint 3.

[0041] Specifically, the analysis results when the vehicle passes through the bridge expansion joint 3 each time include two parts, the amplitude of the vibration and the spectral analysis result of the vibration. The amplitude of the vibration is obtained according to formula (4), and the spectral analysis result of the vibration is stored and obtained according to (5), where (6) is the initial spectral analysis result in the initial stage of the construction of the bridge expansion joint 3:

[0042] β i = max(v i ) (4),

[0043]

[0044] where v i is the vibration time history data, β i is the maximum value of the vibration amplitude, f vib_0 is the initial vibration frequency domain vector, where f μhi is the vibration frequency vector, P μhi is the f μh0The corresponding vibration power spectrum value vector. i represents the number of times passing through the bridge expansion joint 3.

[0045] The second judgment module includes: a first judgment unit, which uses that the power spectrum value vector of the sound signal is greater than a first threshold as a first condition; the first condition is expressed as:

[0046]

[0047] When δ i > δ yz it is used as the first condition for triggering an early warning.

[0048] δ i represents the power spectrum value vector of the sound signal, and δ yz represents the threshold of the power spectrum value vector of the sound signal.

[0049] A second judgment unit, which uses the comparison result that the power spectrum value vector of the vibration signal is greater than a second threshold as a second condition;

[0050] A third judgment unit, which is used to jointly judge whether the bridge expansion joint 3 fails based on the first condition and the second condition. The second condition is expressed as:

[0051]

[0052] When it is used as the second condition for triggering an early warning, represents the threshold of the power spectrum value vector of the vibration signal

[0053] The second judgment module is used to jointly judge whether the bridge expansion joint 3 fails according to the time domain characteristics and frequency domain characteristics of the sound signal, and the time domain characteristics and frequency domain characteristics of the vibration signal.

[0054] Furthermore, the judgment of whether the bridge expansion joint 3 fails according to the first condition and the second condition includes: if the first condition and the second condition are both satisfied at the same time, it is judged that the bridge expansion joint 3 fails.

[0055] Embodiment 2

[0056] Reference Figure 8, in the second aspect of the present invention, there is provided a fault diagnosis method based on the sound and vibration of bridge expansion joints, including: S100. Obtain the sound signal and vibration signal when a vehicle passes through a bridge expansion joint; judge whether the vehicle passes through the bridge expansion joint based on the vibration signal; S200. Extract the time-domain characteristics, frequency-domain characteristics of the sound signal when the vehicle passes through the bridge expansion joint, and the time-domain characteristics, frequency-domain characteristics of the vibration signal; S300. Judge whether the bridge expansion joint has a fault according to the time-domain characteristics, frequency-domain characteristics of the sound signal, and the time-domain characteristics, frequency-domain characteristics of the vibration signal.

[0057] Further, in step S200, the extraction of the time-domain characteristics, frequency-domain characteristics of the sound signal when the vehicle passes through the bridge expansion joint, and the time-domain characteristics, frequency-domain characteristics of the vibration signal includes:

[0058] S201. Extract the amplitude, frequency and power spectrum vector of the sound signal when the vehicle passes through the bridge expansion joint; S202. Extract the maximum acceleration, frequency and power spectrum vector of the vibration signal when the vehicle passes through the bridge expansion joint.

[0059] In a specific embodiment of the present invention, it includes the following steps: Set a sound monitoring device, a vibration monitoring device and an intelligent gateway device at the position of the bridge expansion joint, analyze by monitoring the sound monitoring signal when the vehicle passes through the bridge expansion joint, combine with the analysis of the vibration monitoring signal when the vehicle passes through the bridge expansion joint, combine the comparison of the sound time-domain signal and the frequency-domain signal, and combine the comparison of the time-domain and frequency-domain signals of the vibration signal to comprehensively evaluate the operating state of the bridge expansion joint.

[0060] Embodiment 3

[0061] Reference Figure 9 , in the third aspect of the present invention, there is provided an electronic device, including: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enabling the one or more processors to implement the method of the first aspect of the present invention.

[0062] The electronic device 500 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage device 508 into the random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. The input / output (I / O) interface 505 is also connected to the bus 504.

[0063] Typically, the following devices can be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a hard disk, etc.; and a communication device 509. The communication device 509 can allow the electronic device 500 to communicate with other devices wirelessly or wiredly to exchange data. Although Figure 9 the electronic device 500 with various devices is shown, it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices can be implemented or had. Figure 9 Each block shown in

[0064] In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product that includes a computer program carried on a computer-readable medium, and the computer program includes program code for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are performed. It should be noted that the computer-readable medium described in the embodiments of the present disclosure can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the embodiments of the present disclosure, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device. In the embodiments of the present disclosure, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, in which computer-readable program code is carried. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and the computer-readable signal medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0065] The above computer-readable medium can be included in the above electronic device; or it can exist separately without being assembled into the electronic device. The above computer-readable medium carries one or more computer programs, and when the above one or more programs are executed by the electronic device, the electronic device is caused to:

[0066] Computer program code for performing the operations of the embodiments of the present disclosure may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, Python, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or it may be connected to an external computer (e.g., by connecting through the Internet using an Internet service provider).

[0067] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functions, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system that performs the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0068] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A fault diagnosis system based on expansion joint soundprint and vibration, characterized in that: include: A sensor is arranged at the expansion joint of the bridge and is used to obtain sound signals and vibration signals of vehicles passing through the expansion joint of the bridge; The gateway is used to determine whether a vehicle passes through a bridge expansion joint based on a vibration signal; extract the time domain characteristics and frequency domain characteristics of the sound signal when the vehicle passes through the bridge expansion joint, as well as the time domain characteristics and frequency domain characteristics of the vibration signal; and determine whether a bridge expansion joint fails based on the time domain characteristics and frequency domain characteristics of the sound signal, as well as the time domain characteristics and frequency domain characteristics of the vibration signal.

2. The fault diagnosis system based on expansion joint soundprint and vibration according to claim 1 is characterized in that: The gateway comprises: A first judgment module is used to judge whether the vehicle passes through the expansion joint of the bridge based on the vibration signal; An extraction module, used to extract the time domain characteristics and frequency domain characteristics of the sound signal when the vehicle passes through the expansion joint of the bridge; The second judgment module is used to jointly judge whether a bridge expansion joint fails based on the time domain characteristics and frequency domain characteristics of the sound signal and the time domain characteristics and frequency domain characteristics of the vibration signal.

3. The fault diagnosis system based on expansion joint soundprint and vibration according to claim 2 is characterized in that: The first judgment module includes: An identification unit, used to identify the time and number of times a vehicle passes through a bridge expansion joint; The judging unit is used to judge whether each identified vehicle passes through the expansion joint according to a threshold value of a vibration mean value of the expansion joint.

4. The fault diagnosis system based on expansion joint soundprint and vibration according to claim 2 is characterized in that: The extraction module comprises: A first extraction unit is used to extract the amplitude, frequency and power spectrum vector of the sound signal when the vehicle passes through the expansion joint of the bridge; The second extraction unit is used to extract the maximum acceleration, frequency and power spectrum vector of the vibration signal of the vehicle when passing through the expansion joint of the bridge.

5. The fault diagnosis system based on expansion joint soundprint and vibration according to claim 4 is characterized in that: The second judgment module includes: A first judgment unit, configured to take, as a first condition, whether the power spectrum value vector of the sound signal is greater than a first threshold; A second judgment unit, configured to use a comparison result that the power spectrum value vector of the vibration signal is greater than a second threshold as a second condition; The third judgment unit is used to jointly judge whether a bridge expansion joint fails based on the first condition and the second condition.

6. The fault diagnosis system based on expansion joint soundprint and vibration according to claim 5 is characterized in that: The determining whether a bridge expansion joint fails according to the first condition and the second condition includes: If the first condition and the second condition are met at the same time, it is determined that the bridge expansion joint is faulty.

7. A fault diagnosis method based on expansion joint soundprint and vibration, characterized in that: include: Acquire the sound and vibration signals of vehicles passing through the expansion joints of bridges; Determine whether the vehicle passes through the expansion joint of the bridge based on the vibration signal; Extract the time domain characteristics and frequency domain characteristics of the sound signal when the vehicle passes through the expansion joint of the bridge, as well as the time domain characteristics and frequency domain characteristics of the vibration signal; Whether a bridge expansion joint fails is determined based on the time domain characteristics and frequency domain characteristics of the sound signal and the time domain characteristics and frequency domain characteristics of the vibration signal.

8. The fault diagnosis method based on expansion joint soundprint and vibration according to claim 7 is characterized in that: The method of extracting the time domain features and frequency domain features of the sound signal when the vehicle passes through the expansion joint of the bridge, and the time domain features and frequency domain features of the vibration signal include: Extract the amplitude, frequency and power spectrum vector of the sound signal when the vehicle passes through the expansion joint of the bridge; The maximum acceleration, frequency and power spectrum vector of the vibration signal of the vehicle when passing through the expansion joint of the bridge are extracted.

9. An electronic device, comprising: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to implement the fault diagnosis method based on expansion joint sound print and vibration as described in any one of claims 1 to 6.

10. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the fault diagnosis method based on expansion joint soundprint and vibration is implemented as described in any one of claims 1 to 6.

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