CN113804762B - Equipment fault detection method and system based on multispectral three-in-one images - Google Patents

Abstract

The present invention is applicable to the technical field of detection equipment, and particularly relates to an equipment fault detection method and system based on multispectral three-in-one images. The method includes: segmenting cables to obtain multiple detection segments, and numbering the detection segments. ; Perform vibration excitation on each detection section in sequence according to the numbering sequence, collect vibration signals from all parts of the detection section, and obtain the vibration signal to be analyzed; increase the vibration excitation intensity, and collect images of the entire length of the detection section to obtain the vibration signal to be analyzed. Image signal; determine the fault point based on the vibration signal to be analyzed and the image signal to be analyzed, and generate a detection report. The equipment fault detection method and system based on multispectral three-in-one images provided by embodiments of the present invention excites one end of the cable to vibrate, thereby analyzing the cable according to the vibration condition of the other end of the cable to determine the fault of the cable. Damage degree, this method can be applied to cables of different materials, and has strong practicability.

Description

Equipment fault detection method and system based on multispectral three-in-one images

Technical field

The invention belongs to the technical field of detection equipment, and in particular relates to an equipment fault detection method and system based on multispectral three-in-one images.

Background technique

Fault detection refers to the use of various detection equipment and various detection methods to diagnose faults or problems in equipment or systems; to determine whether there are faults or problems in the current equipment or system, so as to facilitate the maintenance of equipment and systems.

In current cable equipment, for example, during the cable detection process, power can be directly supplied to the cable being detected to determine the degree of damage to the cable based on the current condition of the cable. For optical cables, light can be directly passed into it. , to screen for damage; for cables, imaging technology is also used to screen.

Among the above methods, no matter which detection method is used, it can only detect specific types of cable equipment. Once the materials of the cable equipment are different, it cannot be used universally.

Contents of the invention

The purpose of the embodiments of the present invention is to provide an equipment fault detection method based on multispectral three-in-one images, aiming to solve the problems raised in the background technology.

The embodiment of the present invention is implemented as follows: an equipment fault detection method based on multispectral three-in-one images, the method includes:

Segment the cable to obtain multiple detection sections, and number the detection sections;

Vibration excitation is performed on each detection section in sequence according to the numbering sequence, and vibration signals are collected from all parts of the detection section to obtain the vibration signal to be analyzed;

Increase the vibration excitation intensity and collect images over the entire length of the detection section to obtain the image signal to be analyzed;

Determine the fault location based on the vibration signal to be analyzed and the image signal to be analyzed, and generate a detection report.

Preferably, the step of segmenting the cable to obtain multiple detection segments and numbering the detection segments specifically includes:

Pre-excite one end of the entire cable from one end, and perform amplitude detection starting from the end where the pre-excitation is performed;

Compare the real-time detected amplitude with the preset value. When the amplitude is the same as the preset value, record the corresponding point, which is the detection point;

Measure the distance from the detection point to the pre-excitation end of the cable to obtain the maximum step value;

Select a value smaller than the maximum step value as the actual step value, segment the entire cable according to the actual step value, and obtain multiple detection segments, and there are overlapping segments between adjacent detection segments. The length is less than the detection segment length.

Preferably, the step of stimulating vibration in each detection section in sequence according to the numbering sequence, collecting vibration signals from all parts of the detection section, and obtaining the vibration signal to be analyzed specifically includes:

Continuous vibration excitation for each detection section, and ensure that the amplitude of each detection section does not exceed the preset amplitude upper limit;

Use a vibration detector to collect vibration signals from one end of the detection section that receives vibration excitation;

After the vibration signal is stable, record the vibration signal information there, move the vibration detector by a preset detection step, collect the vibration signal again, and repeat the above steps until it moves to the end of the detection section away from the vibration excitation, and get The vibration signal is to be analyzed.

Preferably, the step of increasing the vibration excitation intensity and collecting images over the entire length of the detection section to obtain the image signal to be analyzed includes:

Increase the vibration excitation intensity until the amplitude within the entire length of the detection section exceeds the lower limit of amplitude;

Collect images of the entire detection section along the direction perpendicular to the cable vibration plane, and the collected images include at least two groups;

Perform grayscale processing on the image and remove the background to obtain the image signal to be analyzed.

Preferably, the step of determining the fault point based on the vibration signal to be analyzed and the image signal to be analyzed, and generating a detection report specifically includes:

Generate continuous actual vibration signal images based on the vibration signal to be analyzed;

Draw the theoretical vibration signal image based on the vibration excitation and amplitude attenuation coefficient before increasing the vibration intensity, compare the actual vibration signal image with the theoretical vibration signal image, and obtain the first suspected fault point;

Perform line processing on the image signal to be analyzed and lineize the image;

Identify discontinuous points in the line image and obtain the second suspected fault point;

Generate a detection report based on the first suspected fault point and the second suspected fault point.

Preferably, in the step of collecting images over the entire length of the detection section, infrared images, ultraviolet images and visible light images are collected simultaneously, and image signals to be analyzed are generated based on the collected infrared images, ultraviolet images and visible light images.

Preferably, the detection report includes the location of the fault point and the location of the suspected fault point. The fault point is a point where the first suspected fault point coincides with the second suspected fault point. The suspected fault point is the first suspected fault point. The fault point and the second suspected fault point do not overlap with each other.

Preferably, in the step of image acquisition, infrared images, ultraviolet images and visible light images are collected simultaneously.

Another object of the embodiments of the present invention is to provide an equipment fault detection system based on multispectral three-in-one images. The system includes:

The segmentation module is used to segment cables, obtain multiple detection segments, and number the detection segments;

The vibration acquisition module is used to excite vibration in each detection section in sequence according to the number sequence, collect vibration signals from all parts of the detection section, and obtain the vibration signal to be analyzed;

The image acquisition module is used to increase the vibration excitation intensity and collect images over the entire length of the detection section to obtain the image signal to be analyzed;

The fault point analysis module is used to determine the fault point based on the vibration signal to be analyzed and the image signal to be analyzed, and generate a detection report.

Preferably, the segmentation module includes:

The amplitude detection unit is used to pre-excite one end of the entire cable from one end, and perform amplitude detection starting from the end where the pre-excitation is performed;

The amplitude comparison unit is used to compare the amplitude detected in real time with the preset value. When the amplitude is the same as the preset value, the corresponding point is recorded, which is the detection point;

The maximum step size determination unit is used to measure the distance from the detection point to the end of the cable for pre-excitation to obtain the maximum step size value;

The actual step size determination unit is used to select a value smaller than the maximum step size value as the actual step size value, segment the entire cable according to the actual step size value, and obtain multiple detection segments, and the adjacent detection segments are There is an overlapping segment between them, and the length of the overlapping segment is smaller than the length of the detection segment.

Preferably, the vibration collection module includes:

The excitation unit is used to continuously vibrate each detection section and ensure that the amplitude of each detection section does not exceed the preset amplitude upper limit;

An initial vibration acquisition unit is used to collect vibration signals from one end of the detection section that receives vibration excitation using a vibration detector;

The cyclic vibration acquisition unit is used to record the vibration signal information there after the vibration signal is stable, move the vibration detector by a preset detection step, collect the vibration signal again, and repeat the above steps until it moves to the detection section. At the end far away from the vibration excitation, the vibration signal to be analyzed is obtained.

The equipment fault detection method and system based on multispectral three-in-one images provided by the embodiments of the present invention excites one end of the cable to vibrate, thereby receiving the vibration signal to be analyzed according to the vibration condition of the other end of the cable, and uses image acquisition In the form of, the image of the cable is obtained to obtain the image signal to be analyzed, and the image signal to be analyzed and the vibration signal to be analyzed are analyzed separately to determine the damage location of the cable. This method can be applied to cables of different materials and is practical Strong sex.

Description of the drawings

Figure 1 is a flow chart of an equipment fault detection method based on multispectral three-in-one images provided by an embodiment of the present invention;

Figure 2 is a flow chart of the steps of segmenting a cable to obtain multiple detection segments according to an embodiment of the present invention;

Figure 3 is a flow chart of the steps of collecting vibration signals from various parts of the detection section to obtain vibration signals to be analyzed according to an embodiment of the present invention;

Figure 4 is a flowchart of the steps of performing image acquisition on the full length range of the detection section to obtain the image signal to be analyzed according to an embodiment of the present invention;

Figure 5 is a flow chart of the steps of determining a fault point and generating a detection report based on the vibration signal to be analyzed and the image signal to be analyzed according to an embodiment of the present invention;

Figure 6 is an architectural diagram of an equipment fault detection system based on multispectral three-in-one images provided by an embodiment of the present invention;

Figure 7 is an architectural diagram of a segmentation module provided by an embodiment of the present invention;

Figure 8 is an architectural diagram of a vibration collection module provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.

It will be understood that the terms "first", "second", etc. used in this application may be used to describe various elements herein, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.

In current cable equipment, for example, during the cable detection process, power can be directly supplied to the cable being detected to determine the degree of damage to the cable based on the current condition of the cable. For optical cables, light can be directly passed into it. , to screen for damage; for cables, imaging technology is also used to screen.

The equipment fault detection method and system based on multispectral three-in-one images provided by the embodiments of the present invention excites one end of the cable to vibrate, thereby receiving the vibration signal to be analyzed according to the vibration condition of the other end of the cable, and uses image acquisition In the form of, the image of the cable is obtained to obtain the image signal to be analyzed, and the image signal to be analyzed and the vibration signal to be analyzed are analyzed separately to determine the damage location of the cable. This method can be applied to cables of different materials and is practical Strong sex.

Figure 1 shows an equipment fault detection method based on multispectral three-in-one images provided by an embodiment of the present invention. The method includes:

S100: Segment the cable to obtain multiple detection segments, and number the detection segments.

In the existing technology, there are different detection methods for cables and optical cables. For cables, power-on detection is often used, and images are also used for analysis. For example, images are first collected, and the collected images are filtered, denoised, and Dehaze processing, and then use the image fusion algorithm to perform three-light fusion on the image to obtain a multispectral three-in-one image; perform recognition, analysis and judgment on the three-in-one image to determine whether the electrical equipment is faulty, which is only suitable for cable detection.

In this step, the cable is segmented. The cable here can be an optical cable or a wire cable. Since the present invention uses vibration means for detection, and the vibration of the cable belongs to the transverse wave in the mechanical wave, it is transmitted during the transmission process. , the amplitude will gradually attenuate, so a fixed excitation source is used to excite the cable to vibrate. The amplitude of the mechanical wave will gradually attenuate during the transmission process, that is, the transmission length of the mechanical wave is limited. In order to obtain a mechanical wave of sufficient intensity, the mechanical wave amplitude needs to be It is detected before it is completely attenuated. Therefore, in order to avoid this situation, the cable is segmented. After segmentation, it is numbered. Finally, during detection, each detection segment can be independently detected.

S200: Vibration excitation is performed on each detection section in sequence according to the number sequence, and vibration signals are collected from various parts of the detection section to obtain vibration signals to be analyzed.

In this step, select the detection section in numerical order, and then connect the excitation source to one end of the detection section, so that the excitation source can excite one end of the detection section to start vibrating, and the detection section starts to vibrate. Since the amplitude is transmitted during the transmission It will gradually attenuate, so the cables at different distances from the excitation source have different amplitudes. Therefore, a vibration detector is used to collect vibration signals in the detection section to obtain the vibration signal to be analyzed.

S300: Increase the vibration excitation intensity and collect images over the entire length of the detection section to obtain the image signal to be analyzed.

In this step, increasing the vibration excitation intensity is mainly to increase the amplitude of the vibration of the excitation source. You can also adjust the vibration frequency as needed. In the previous step, the vibration given by the excitation source to the detection section will not cause obvious distortion in the detection section. Fluctuations, but can be detected by a vibration detector. In this step, by increasing the vibration excitation intensity, visible fluctuations can occur in the detection section. At this time, image acquisition is performed to obtain the image signal to be analyzed; during image acquisition , simultaneously collect infrared images, ultraviolet images and visible light images, and generate image signals to be analyzed based on the collected infrared images, ultraviolet images and visible light images, that is, multispectral three-in-one images.

S400: Determine the fault point based on the vibration signal to be analyzed and the image signal to be analyzed, and generate a detection report.

In this step, the fault point is determined based on the vibration signal to be analyzed and the image signal to be analyzed. For the detection section, it is essentially a mechanical wave. Therefore, if the cable is damaged or the core wire is broken, the mechanical wave is transmitted to this location. There will be a change in vibration amplitude, while the frequency remains unchanged. Therefore, when the detection section is continuously detected, when a point with an obvious mutation in amplitude appears, it can be initially identified as a fault point; for the image signal to be analyzed, Increase the amplitude of the cable to collect images, and finally analyze the fault point based on the fluctuations of the cable in the image and generate a detection report.

As shown in Figure 2, as a preferred embodiment of the present invention, the step of segmenting the cable to obtain multiple detection segments and numbering the detection segments specifically includes:

S101, pre-excite one end of the entire cable from one end, and perform amplitude detection starting from the pre-excitation end.

In this step, the entire cable is pre-excited. The cable here is intact and has the same size and model as the cable to be detected. This is because for an excitation source, its productivity The influence range of the vibration on the cable is limited, and it can only be detected if the vibration is carried out within the influence range. Therefore, the excitation source is connected to one end of the cable, and then continuous amplitude detection is performed.

S102: Compare the real-time detected amplitude with the preset value. When the amplitude is the same as the preset value, record the corresponding point, which is the detection point.

In this step, the amplitude detected in real time is compared with the preset value. During the detection process, as it gradually moves away from the excitation source, the amplitude will gradually attenuate. When it attenuates to the preset value, it means that When it reaches the boundary of the influence range, exceeding this range will affect the detection of vibration. When the amplitude is the same as the preset value, the corresponding point is recorded, and this point is the detection point.

S103, measure the distance from the detection point to the pre-excitation end of the cable, and obtain the maximum step value.

In this step, the maximum step value is defined as the distance from the measurement detection point to the pre-excitation end of the cable. In a normal cable, stable vibration transmission can be ensured within the maximum step value.

S104, select a value smaller than the maximum step value as the actual step value, segment the entire cable according to the actual step value, and obtain multiple detection segments, and there are overlapping segments between adjacent detection segments. The length of the segment is less than the detection segment length.

In this step, select a value smaller than the maximum step value as the actual step value. The actual step value is smaller than the maximum step value, preferably 0.8 times the maximum step value, to ensure that the amplitude value is large enough and adjacent There is an overlapping segment between the detection segments, and the length of the overlapping segment is smaller than the length of the detection segment.

As shown in Figure 3, as a preferred embodiment of the present invention, the steps of vibration excitation of each detection section in sequence according to the number sequence, collecting vibration signals from all parts of the detection section, and obtaining the vibration signal to be analyzed specifically include :

S201, perform continuous vibration excitation for each detection section, and ensure that the amplitude of each detection section does not exceed the preset amplitude upper limit.

In this step, all detection sections are tested one by one. After selecting a detection section, use the excitation source to continuously vibrate it so that the detection section can vibrate stably. At this time, use a vibration detector to conduct a preliminary inspection. A sampling method is adopted to randomly select ten points along the length of the detection section for detection to ensure that the amplitude at each location does not exceed the preset amplitude upper limit.

S202: Use a vibration detector to collect vibration signals from one end of the detection section that receives vibration excitation.

In this step, a vibration detector is used for vibration detection. During detection, the vibration detector is connected to the corresponding point of the detection section to perform continuous signal collection.

S203, after the vibration signal is stable, record the vibration signal information there, move the vibration detector by a preset detection step, collect the vibration signal again, and repeat the above steps until it moves to the end of the detection section away from the vibration excitation. , obtain the vibration signal to be analyzed.

In this step, the vibration signal is continuously collected. After the vibration signal is stable, the vibration signal information there is recorded. When the vibration signal becomes unstable, new detection points are added on both sides of the current detection point to determine whether the current detection point is is the fault point; after completing the vibration signal collection at the current detection point, the vibration detector moves a preset detection step, collects the vibration signal again, and repeats the above steps until it moves to the end of the detection section away from the vibration excitation, and obtains the desired value. Analyze vibration signals.

As shown in Figure 4, as a preferred embodiment of the present invention, the steps of increasing the vibration excitation intensity and collecting images over the entire length of the detection section to obtain the image signal to be analyzed include:

S301, increase the vibration excitation intensity until the amplitude within the entire length of the detection section exceeds the lower limit of amplitude.

In this step, the vibration excitation intensity is increased. During this process, a vibration detector is used to detect the detection section in real time to ensure that the amplitude within the entire length of the detection section exceeds the lower limit of the amplitude. This is due to the image acquisition process. , it is necessary to detect obvious fluctuations in the detection section, so it is necessary to ensure that the amplitude exceeds a certain value.

S302: Collect images of the entire detection section along a direction perpendicular to the cable vibration plane, and the collected images include at least two groups.

In this step, images are collected of the entire detection section in a direction perpendicular to the cable vibration plane. When the vibration is excited, the detection section vibrates along multiple planes, so that the entire detection section can be imaged in a direction perpendicular to the cable vibration plane. The reason for image collection is that for cables, there may be local damage, that is, damage on one side. In this way, accurate image information can be obtained through multi-directional image collection.

S303: Perform grayscale processing on the image and remove the background to obtain the image signal to be analyzed.

In this step, grayscale processing is performed on the image. By performing grayscale processing, the color values in the image are reduced, making image processing more convenient, reducing the amount of data processing, and then removing the background to facilitate analysis.

As shown in Figure 5, as a preferred embodiment of the present invention, the step of determining the fault point based on the vibration signal to be analyzed and the image signal to be analyzed, and generating a detection report specifically includes:

S401. Generate continuous actual vibration signal images based on the vibration signal to be analyzed.

In this step, based on the vibration signal to be analyzed, the actual vibration signal image is drawn in the plane Cartesian coordinate system, where the horizontal axis is the distance between the detection point and the excitation source, and the vertical axis is the amplitude value of the detection point.

S402: Draw a theoretical vibration signal image based on the vibration excitation before increasing the vibration intensity and the amplitude attenuation coefficient, compare the actual vibration signal image with the theoretical vibration signal image, and obtain the first suspected fault point.

In this step, the theoretical vibration signal image is drawn based on the vibration excitation before increasing the vibration intensity and the amplitude attenuation coefficient. For the same type of cable, the vibration attenuation coefficient is the same, so the vibration output by the excitation source can be The excitation and vibration attenuation coefficients are calculated to obtain theoretical amplitude values at different distances, and the theoretical vibration signal images are drawn based on this.

S403: Perform line processing on the image signal to be analyzed to lineize the image.

In this step, the image signal to be analyzed is processed into lines. For a cable, its diameter is uniform, so its center line is sufficient. The fluctuation of the center line can represent the overall fluctuation of the cable.

S404: Identify discontinuous points in the line image and obtain the second suspected fault point.

In this step, discontinuous points in the line image are identified. The discontinuous points are due to changes in the points, so they can be initially identified as fault points.

S405: Generate a detection report based on the first suspected fault point and the second suspected fault point.

In this step, the detection report includes the location of the fault point and the location of the suspected fault point. The fault point is the point where the first suspected fault point coincides with the second suspected fault point. The suspected fault point is the first suspected fault point. The fault point and the second suspected fault point do not overlap with each other.

As shown in Figure 6, the present invention provides an equipment fault detection system based on multispectral three-in-one images. The system includes:

The segmentation module 100 is used to segment the cable, obtain multiple detection segments, and number the detection segments.

In this system, the segmentation module 100 segments the cables. The cables here can be optical cables or wire cables. After segmenting, the cables are numbered. Finally, during detection , just perform independent detection on each detection section.

The vibration collection module 200 is used to perform vibration excitation on each detection section in sequence according to the number sequence, collect vibration signals from all parts of the detection section, and obtain the vibration signal to be analyzed.

In this system, the vibration acquisition module 200 selects the detection section in numerical order, and then connects the excitation source to one end of the detection section, so that the excitation source can excite one end of the detection section to start vibrating, and the detection section starts to vibrate. Due to the amplitude It will gradually attenuate during the transmission process, so the cables at different distances from the excitation source have different amplitudes. Therefore, a vibration detector is used to collect vibration signals in the detection section to obtain the vibration signal to be analyzed.

The image acquisition module 300 is used to increase the vibration excitation intensity and collect images over the entire length of the detection section to obtain image signals to be analyzed.

In this system, the image acquisition module 300 increases the vibration excitation intensity, mainly to increase the amplitude of the vibration of the excitation source, and can also adjust the vibration frequency as needed. In the previous step, the vibration given to the detection section by the excitation source will not cause the detection There are obvious fluctuations in the segment, but they can be detected by the vibration detector. In this step, by increasing the vibration excitation intensity, the detection segment can have visible fluctuations. At this time, image acquisition is performed to obtain the image signal to be analyzed.

The fault point analysis module 400 is used to determine the fault point based on the vibration signal to be analyzed and the image signal to be analyzed, and generate a detection report.

In this system, the fault point analysis module 400 determines the fault point based on the vibration signal to be analyzed and the image signal to be analyzed. For the detection section, it is essentially a mechanical wave. Therefore, if the cable is damaged or the core wire is broken, When the mechanical wave reaches this position, the vibration amplitude will change, while the frequency remains unchanged. Therefore, when the detection section is continuously detected, when a point with an obvious mutation in amplitude appears, it can be initially identified as a fault point; for the analysis to be For image signals, the amplitude of the cable is increased to collect the image. Finally, the fault point is analyzed based on the fluctuations of the cable in the image, and a detection report is generated.

As shown in Figure 7, the segmentation module provided by the present invention includes:

The amplitude detection unit 101 is used to pre-excite one end of the entire cable from one end, and perform amplitude detection starting from the end where the pre-excitation is performed.

In the module, the amplitude detection unit 101 pre-excites the entire cable. The cable here is intact and has the same model and size as the cable that needs to be detected. This is because for an excitation source, The impact range of the generated vibration on the cable is limited, and it can only be detected if the vibration is carried out within the range of influence. Therefore, the excitation source is connected to one end of the cable, and then continuous amplitude detection is performed.

The amplitude comparison unit 102 is used to compare the real-time detected amplitude with a preset value. When the amplitude is the same as the preset value, record the corresponding point, which is the detection point.

In the module, the amplitude comparison unit 102 compares the amplitude detected in real time with the preset value. During the detection process, the amplitude detected in real time is compared with the preset value. Since the amplitude gradually increases with the excitation source, away from you, the amplitude will gradually attenuate. When it attenuates to the preset value, it means that it has reached the boundary of the influence range. Exceeding this range will affect the detection of vibration. When the amplitude is the same as the preset value, the corresponding point is recorded. The point is the detection point.

The maximum step size determination unit 103 is used to measure the distance from the detection point to the end of the cable for pre-excitation to obtain the maximum step size value.

In the module, the maximum step size determination unit 103 defines the maximum step size value as the distance from the measurement detection point to the end of the cable for pre-excitation. In a normal cable, stable vibration can be guaranteed within the maximum step size value. conduction.

The actual step size determination unit 104 is used to select a value smaller than the maximum step size value as the actual step size value, segment the entire cable according to the actual step size value, and obtain multiple detection segments, and adjacent detection segments There is an overlapping segment, and the length of the overlapping segment is smaller than the length of the detection segment.

In the module, the actual step size determination unit 104 selects a value smaller than the maximum step size value as the actual step size value. The actual step size value is smaller than the maximum step size value, preferably 0.8 times the maximum step size value, to ensure that the amplitude value is sufficient. Large, and there are overlapping segments between adjacent detection segments, and the length of the overlapping segments is smaller than the length of the detection segment.

As shown in Figure 8, the vibration collection module provided by the present invention includes:

The vibration excitation unit 201 is used to continuously vibrate each detection section and ensure that the amplitude of each detection section does not exceed the preset amplitude upper limit.

In this module, the excitation unit 201 detects all detection segments one by one. After selecting a detection segment, it uses the excitation source to continuously vibrate it so that the detection segment can vibrate stably. At this time, a vibration detector is used to For the initial inspection, a sampling method is adopted, and ten points are randomly selected for inspection along the length of the inspection section to ensure that the amplitude at each location does not exceed the preset amplitude upper limit.

The initial vibration collection unit 202 is used to use a vibration detector to collect vibration signals from one end of the detection section that receives vibration excitation.

In this module, the initial vibration collection unit 202 uses a vibration detector to perform vibration detection. During detection, the vibration detector is connected to the corresponding point of the detection section to perform continuous signal collection.

The cyclic vibration acquisition unit 203 is used to record the vibration signal information there after the vibration signal is stable, move the vibration detector by a preset detection step, collect the vibration signal again, and repeat the above steps until it moves to the detection step. The end of the segment away from the vibration excitation is used to obtain the vibration signal to be analyzed.

In this module, the vibration signal is continuously collected. After the vibration signal is stable, the vibration signal information there is recorded. When the vibration signal becomes unstable, new detection points are added on both sides of the current detection point to determine whether the current detection point is is the fault point; after completing the vibration signal collection at the current detection point, the vibration detector moves a preset detection step, collects the vibration signal again, and repeats the above steps until it moves to the end of the detection section away from the vibration excitation, and obtains the desired value. Analyze vibration signals.

It should be understood that although the steps in the flowcharts of various embodiments of the present invention are shown in sequence as indicated by arrows, these steps are not necessarily executed in the order indicated by arrows. Unless explicitly stated in this article, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but may be executed at different times. The order of execution is not necessarily sequential, but may be performed in turn or alternately with other steps or sub-steps of other steps or at least part of the stages.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through computer programs. The programs can be stored in a non-volatile computer-readable storage medium. , when the program is executed, it may include the processes of the above-mentioned method embodiments. Any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above-described embodiments can be combined in any way. To simplify the description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, All should be considered to be within the scope of this manual.

The above-mentioned embodiments only express several implementation modes of the present invention. The descriptions are relatively specific and detailed, but should not be construed as limiting the patent scope of the present invention. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the scope of protection of the patent of the present invention should be determined by the appended claims.

The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection of the present invention. within the range.

Claims (8)

1. An equipment fault detection method based on multispectral three-in-one images, characterized in that the method includes: Segment the cable to obtain multiple detection sections, and number the detection sections; Vibration excitation is performed on each detection section in sequence according to the numbering sequence, and vibration signals are collected from all parts of the detection section to obtain the vibration signal to be analyzed; Increase the vibration excitation intensity and collect images over the entire length of the detection section to obtain the image signal to be analyzed; Determine the fault location based on the vibration signal to be analyzed and the image signal to be analyzed, and generate a detection report; Among them, the step of segmenting the cable to obtain multiple detection segments and numbering the detection segments specifically includes: pre-excitation from one end of the entire cable, and starting from the end where the pre-excitation is performed Perform amplitude detection; compare the real-time detected amplitude with the preset value. When the amplitude is the same as the preset value, record the corresponding point, which is the detection point; measure the detection point to the cable for pre-excitation distance from one end to get the maximum step value; select a value smaller than the maximum step value as the actual step value, segment the entire cable according to the actual step value, and obtain multiple detection segments, and adjacent detection There are overlapping segments between the segments, and the length of the overlapping segment is smaller than the length of the detection segment; Among them, the steps of determining the fault point based on the vibration signal to be analyzed and the image signal to be analyzed, and generating a detection report specifically include: generating continuous actual vibration signal images based on the vibration signal to be analyzed; and based on the vibration before increasing the vibration excitation intensity. The excitation and amplitude attenuation coefficients are used to draw the theoretical vibration signal image, and the actual vibration signal image is compared with the theoretical vibration signal image to obtain the first suspected fault point; the image signal to be analyzed is processed into line processing to obtain a line image; identify the lineization The discontinuous point in the image is used to obtain the second suspected fault point; a detection report is generated based on the first suspected fault point and the second suspected fault point. 2. The equipment fault detection method based on multispectral three-in-one images according to claim 1, characterized in that the vibration excitation is performed on each detection section in sequence according to the numbering sequence, and vibration signals are collected everywhere in the detection section. , the steps to obtain the vibration signal to be analyzed include: Continuous vibration excitation for each detection section, and ensure that the amplitude of each detection section does not exceed the preset amplitude upper limit; Use a vibration detector to collect vibration signals from one end of the detection section that receives vibration excitation; After the vibration signal is stable, record the vibration signal information there, move the vibration detector by a preset detection step, collect the vibration signal again, and repeat the above steps until it moves to the end of the detection section away from the vibration excitation, and get The vibration signal is to be analyzed. 3. The equipment fault detection method based on multispectral three-in-one images according to claim 1, characterized in that, the vibration excitation intensity is increased, and the entire length of the detection section is image collected to obtain the image signal to be analyzed. The steps include: Increase the vibration excitation intensity until the amplitude within the entire length of the detection section exceeds the lower limit of amplitude; Collect images of the entire detection section along the direction perpendicular to the cable vibration plane, and the collected images include at least two groups; Perform grayscale processing on the image and remove the background to obtain the image signal to be analyzed. 4. The equipment fault detection method based on multispectral three-in-one images according to claim 1, characterized in that the detection report contains the location of the fault point and the location of the suspected fault point, and the fault point is the first The suspected fault point is a point that coincides with the second suspected fault point. The suspected fault point is a point that does not overlap with each other among the first suspected fault point and the second suspected fault point. 5. The equipment fault detection method based on multispectral three-in-one images according to claim 1, characterized in that in the step of image acquisition, infrared images, ultraviolet images and visible light images are collected simultaneously. 6. An equipment fault detection system based on multispectral three-in-one images for implementing the method of claim 1, characterized in that the system includes: The segmentation module is used to segment cables, obtain multiple detection segments, and number the detection segments; The vibration acquisition module is used to excite vibration in each detection section in sequence according to the number sequence, collect vibration signals from all parts of the detection section, and obtain the vibration signal to be analyzed; The image acquisition module is used to increase the vibration excitation intensity and collect images over the entire length of the detection section to obtain the image signal to be analyzed; The fault point analysis module is used to determine the fault point based on the vibration signal to be analyzed and the image signal to be analyzed, and generate a detection report. 7. The equipment fault detection system based on multispectral three-in-one images according to claim 6, characterized in that the segmentation module includes: The amplitude detection unit is used to pre-excite one end of the entire cable from one end, and perform amplitude detection starting from the end where the pre-excitation is performed; The amplitude comparison unit is used to compare the amplitude detected in real time with the preset value. When the amplitude is the same as the preset value, the corresponding point is recorded, which is the detection point; The maximum step size determination unit is used to measure the distance from the detection point to the end of the cable for pre-excitation to obtain the maximum step size value; The actual step size determination unit is used to select a value smaller than the maximum step size value as the actual step size value, segment the entire cable according to the actual step size value, and obtain multiple detection segments, and the adjacent detection segments are There is an overlapping segment between them, and the length of the overlapping segment is smaller than the length of the detection segment. 8. The equipment fault detection system based on multispectral three-in-one images according to claim 6, characterized in that the vibration acquisition module includes: The excitation unit is used to continuously vibrate each detection section and ensure that the amplitude of each detection section does not exceed the preset amplitude upper limit; An initial vibration acquisition unit is used to collect vibration signals from one end of the detection section that receives vibration excitation using a vibration detector; The cyclic vibration acquisition unit is used to record the vibration signal information there after the vibration signal is stable, move the vibration detector by a preset detection step, collect the vibration signal again, and repeat the above steps until it moves to the detection section. At the end far away from the vibration excitation, the vibration signal to be analyzed is obtained.