CN116359328A - Steel wire rope magnetic flux leakage detection method and detection system for realizing same - Google Patents
Steel wire rope magnetic flux leakage detection method and detection system for realizing same Download PDFInfo
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Abstract
The invention relates to the field of steel wire rope detection, in particular to a steel wire rope magnetic flux leakage detection method and a detection system for realizing the method, wherein the detection method comprises the following steps: based on a detection device preset on the tower crane, acquiring real-time detection signals of the steel wire rope, wherein the real-time detection signals comprise electric signals and magnetic leakage signals; responding to the condition that the detection signal is met by the first damage condition, judging that damage exists in or/and outside the steel wire rope, and sending out a first alarm signal and damage information; acquiring real-time image data of the steel wire rope based on a scanning device preset on the tower crane; establishing a three-dimensional model according to the image data; and carrying out image recognition based on the three-dimensional model, and responding to the image recognition result being met by the second damage condition, judging that rust exists on the outer surface of the steel wire rope, and sending out a second alarm signal and rust information. The probability that the suspended solid that this application effectively reduced to lead to the fact because of wire rope damage falls and smashes personnel's incident and take place to avoid personnel's risk of personally feeding tower crane and detecting.
Description
Technical Field
The invention relates to the field of steel wire rope detection, in particular to a steel wire rope magnetic flux leakage detection method and a detection system for realizing the method.
Background
The safety rope on the tower crane can be used for protecting the safety of operators and equipment, is formed by braiding a plurality of steel wire ropes, has firm structure, high wear resistance and high bearing capacity, and can prevent falling accidents caused by misoperation of the operators or equipment faults and the like.
However, the steel wire rope is subjected to the actions of extrusion, torsion, bending, tensioning and the like in the working state, and periodic detection and maintenance are required to ensure that the steel wire rope is good in running state. The detection of the steel wire rope comprises appearance inspection and internal detection of the steel wire rope so as to detect whether the steel wire rope has phenomena of broken wire inspection, internal and external abrasion, rust and the like.
In the prior art, the appearance inspection is mainly performed by manually inspecting whether the surface of the steel wire rope is obviously damaged. The internal inspection can detect whether magnetic materials or defects exist in the steel wire rope or not through magnetic leakage detection of the steel wire rope and generation of a magnetic field by utilizing the magnetic induction coil. And analyzing and judging according to the observation result to determine whether defects exist. In the prior art, detection is carried out by the detection personnel who personally goes on the tower crane, so that the detection efficiency is low and the detection is dangerous.
Disclosure of Invention
In order to avoid the risk of the personnel personally feeding the tower crane to detect the steel wire rope, the application provides a steel wire rope magnetic flux leakage detection method and a detection system for realizing the method.
In a first aspect, the present application provides a method for detecting magnetic leakage of a steel wire rope and a detection system for implementing the method, which adopts the following technical scheme: a method for detecting magnetic leakage of a steel wire rope comprises the following steps: based on a detection device preset on the tower crane, acquiring real-time detection signals of the steel wire rope, wherein the real-time detection signals comprise electric signals and magnetic leakage signals; responding to the condition that the detection signal is met by the first damage condition, judging that damage exists in or/and outside the steel wire rope, and sending out a first alarm signal and damage information; acquiring real-time image data of the steel wire rope based on a scanning device preset on the tower crane; establishing a three-dimensional model according to the image data; and carrying out image recognition based on the three-dimensional model, and responding to the image recognition result being met by the second damage condition, judging that rust exists on the outer surface of the steel wire rope, and sending out a second alarm signal and rust information.
Through adopting above-mentioned technical scheme, make the part that wire rope was released when removing, the detection area of self-checking device passes through, with continuous, real-time detection signal of each section of acquisition wire rope, through the real-time detection signal of gathering wire rope, it has the damage to judge that wire rope inside or/and outside exists, if wire breakage inspection, inside and outside wearing and tearing, through the real-time image data of gathering wire rope, judge whether wire rope exists corrosion, the probability that the hoist thing that causes because of wire rope damage falls smashes the event and takes place has effectively been reduced, and avoid personnel's risk of personally feeding to the tower crane and detecting.
Preferably, in response to the detection signal being satisfied by a first damage condition, it is determined that there is damage inside or/and outside the wire rope, and a first alarm signal and damage information are sent out, including the following steps: obtaining magnetic leakage data according to the relation between the electric signal and the magnetic leakage signal; performing data processing on the magnetic flux leakage data; judging whether the magnetic flux leakage data after data processing meets the first damage condition, if so, judging that damage exists in the steel wire rope or/and outside, and sending a determining instruction that the detection signal meets the first damage condition; and responding to the determining instruction, and sending out a first alarm signal and damage information.
Preferably, the damage information includes a damage position and a change curve showing a relationship between magnetic flux and test length, and the curve segment satisfying the first damage condition is highlighted in the change curve.
Preferably, in response to the detection signal being satisfied by the first damage condition, it is determined that there is damage inside or/and outside the wire rope, and the first alarm signal and damage information are sent out, and the method further includes the following steps: determining a first level of damage in response to the magnetic flux being greater than a first threshold; and in response to the magnetic flux being greater than a second threshold, determining a secondary injury.
Preferably, image recognition is performed based on the three-dimensional model, and the following steps are included in response to the image recognition result being satisfied by the second damage condition: comparing the similarity between the three-dimensional model and a preset standard model, and sending an abnormal signal when the similarity is larger than a first similarity threshold value; and responding to the abnormal signal, carrying out gray processing on the image data according to the acquired real-time image data, judging whether a dark part area exists, and judging that rust exists when the dark part area exists.
In a second aspect, the present application discloses a wire rope magnetic flux leakage detection system, which adopts the wire rope magnetic flux leakage detection method, including: the detection module comprises the detection device and the scanning device to acquire real-time detection signals and real-time image data of the steel wire rope; the signal processing module is used for responding to the fact that the detection signal is met by a first damage condition, judging that damage exists in the steel wire rope or/and outside, and sending out a first alarm signal and damage information; establishing a three-dimensional model according to the image data; and carrying out image recognition based on the three-dimensional model, and responding to the image recognition result being met by the second damage condition, judging that rust exists on the outer surface of the steel wire rope, and sending out a second alarm signal and rust information.
Through adopting above-mentioned technical scheme, make the part that wire rope was released when removing, the detection area of self-checking device passes through, with continuous, real-time detection signal of each section of acquisition wire rope, through the real-time detection signal of gathering wire rope, it has the damage to judge that wire rope inside or/and outside exists, if wire breakage inspection, inside and outside wearing and tearing, through the real-time image data of gathering wire rope, judge whether wire rope exists corrosion, the probability that the hoist thing that causes because of wire rope damage falls smashes the event and takes place has effectively been reduced, and avoid personnel's risk of personally feeding to the tower crane and detecting.
Preferably, the detection device comprises hall elements, the hall elements are arranged in an array, the detection device is provided with a detection groove, the inner wall of the detection groove is provided with a plurality of grooves, the hall elements are installed in the grooves, the inner wall of the detection groove is arranged in an arc shape, and the detection surface of the hall elements is perpendicular to the detection groove.
Through adopting above-mentioned technical scheme, in order to improve the sensitivity that detects, hall element's detection face sets up perpendicularly with the detection groove that is used for through wire rope that presets, and the setting of arc detection grass makes hall element's arrangement satisfy the as few as possible with wire rope axial cover under the circumstances of number.
Preferably, the inner wall of the detection groove is provided with a plurality of grooves, the Hall element is arranged in the grooves, the installation depth of the Hall element is 2mm, and the distance between the detection surface of the Hall element and the arc-shaped inner wall of the detection groove is 2mm.
Through adopting above-mentioned technical scheme, hall element's installation degree of depth is 2mm, and hall element's detection face is 2mm from the distance of detecting groove arc inner wall, can effectively alleviate the resolution ratio that the omission ratio increased hall element.
In a third aspect, the present application discloses a terminal device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the above-mentioned method for detecting magnetic flux leakage of a wire rope is adopted when the processor loads and executes the computer program.
By adopting the technical scheme, the computer program is generated by the wire rope magnetic flux leakage detection method and stored in the memory to be loaded and executed by the processor, so that terminal equipment is manufactured according to the memory and the processor, and the use of a user is facilitated.
In a fourth aspect, the present application discloses a computer readable storage medium, which adopts the following technical scheme: a computer readable storage medium having a computer program stored therein, the computer program, when loaded and executed by a processor, employing the wire rope magnetic flux leakage detection method described above.
By adopting the technical scheme, the computer program is generated by the wire rope magnetic flux leakage detection method and stored in the computer readable storage medium to be loaded and executed by the processor, and the computer program is convenient to read and store by the computer readable storage medium.
Drawings
FIG. 1 is a flow chart of a method of steps S1-S5 in a method of detecting magnetic flux leakage of a steel wire rope.
Fig. 2 is a structural view of a detection area of a wire rope passing detection device.
Fig. 3 is a layout diagram showing hall elements.
FIG. 4 is a flow chart of a method of step S10-11 in a method of detecting magnetic flux leakage of a wire rope.
Fig. 5 is a schematic diagram of the defect detection principle of the present application.
Fig. 6 is a structural diagram showing a defect detection process.
Fig. 7 is a flowchart of a method of steps S20-S25 in a method of detecting magnetic flux leakage of a wire rope according to the present application.
Fig. 8 is a flowchart of a method of steps S240-S241 in a method of detecting magnetic flux leakage of a wire rope according to the present application.
Reference numerals: 1. a detection groove; 2. a groove.
Detailed Description
The present application is described in further detail below in conjunction with figures 1-8.
The embodiment of the application discloses a method for detecting magnetic leakage of a steel wire rope, and referring to fig. 1, the method for detecting magnetic leakage of the steel wire rope comprises the following steps: s1, acquiring a real-time detection signal of the steel wire rope based on a detection device preset on the tower crane.
The detection device is fixed on the tower crane, so that the part of the steel wire rope which is released passes through the detection area of the self-detection device while moving, and detection signals of all the sections of the steel wire rope are continuously and real-timely obtained. The detection signals comprise electric signals and magnetic leakage signals; referring to fig. 2, the detecting device includes a housing provided with a detecting groove 1 for passing through a wire rope, and hall elements arranged in an array on the inner wall of the detecting groove 1, wherein the detecting surface of the hall elements is perpendicular to a preset detecting groove 1 for passing through the wire rope in order to improve the sensitivity of detection.
The Hall element generates a Hall effect, can sense a space magnetic field under a static condition, and linearly converts a magnetic field signal into a voltage signal, wherein the voltage signal is as follows: u (U) H ＝K H B.I is a Hall element characteristic parameter; b is magnetic induction intensity; i is the current flowing through the conductor. The leakage magnetic flux of the steel wire rope excited to the saturated state at the defect part meets the detection condition. According to the formula, when KH and I are kept unchanged, the output voltage of the sensor is in linear relation with the effective magnetic induction intensity detected by the Hall element.
Specifically, the magnitude of the detectable vertical magnetic field component is determined by the effective detection area of the hall sensor, so in order to obtain complete and effective magnetic flux leakage information, the number of hall elements required needs to be calculated according to actual conditions. Referring to fig. 2 and 3, 16 linear hall elements are used in the present application, and the arrangement of the hall elements axially covers the steel wire rope under the condition that the number of the hall elements is as small as possible, and simultaneously, parameters such as power supply, sampling rate, calculation speed of an embedded system and the like are considered. Wherein, a plurality of recesses 2 have been seted up to the inner wall of detecting groove 1, and hall element installs in recess 2, in order to effectively alleviate the resolution ratio that the omission was examined and is increased hall element, and hall element's installation depth is 2mm, and hall element's detection face is 2mm apart from detecting groove 1 arc inner wall's distance.
Referring to fig. 4, the acquisition of the real-time detection signal of the wire rope includes steps S10 to S11, specifically as follows
S10, exciting to saturation;
the steel wire rope has the advantage of high magnetic permeability, and when the outside begins to apply a magnetic field, the steel wire rope shows extremely obvious magnetization characteristics; the detection device is provided with a permanent magnet, and the steel wire rope is excited to saturation along the axis through the permanent magnet.
S11, detecting a leakage magnetic field at a local defect;
referring to fig. 5 and 6, the detection device is provided with an armature and magnetic steel, the armature is arranged at two ends of the permanent magnet, and the armature, the magnetic steel and the steel wire rope form a closed loop; the Hall element can detect the magnetic leakage field at the local defect above the defect of the steel wire rope, and generates and emits a magnetic leakage signal and the relation between the magnetic leakage signal and an electric signal.
When the steel wire rope is magnetized to a saturated state, if the inside and the surface of the steel wire rope are not damaged and the structure is not changed, the magnetic induction lines all pass through the inside of the steel wire rope, and if the damage such as wire breakage, abrasion and the like occurs, the propagation path of the magnetic induction lines at the damaged part can be changed due to low air permeability, and the magnetic induction lines pass out of the steel wire rope into the air to generate a magnetic leakage phenomenon.
And S2, responding to the condition that the detection signal is met by the first damage condition, judging that damage exists in the steel wire rope or/and outside, and sending out a first alarm signal and damage information. Comprises the steps S20-S26, and is specifically as follows:
s20, obtaining magnetic leakage data according to the relation between the electric signal and the magnetic leakage signal;
s21, carrying out data processing on the magnetic flux leakage data;
and rectifying, dividing and filtering the magnetic flux leakage data according to a preset signal arrangement circuit, and storing the data after passing through a high-speed module conversion circuit. And obtaining the defect state information of the steel wire rope in the processing process of the acquired magnetic flux leakage data.
S22, judging whether the magnetic flux leakage data after data processing meets a first damage condition, if so, judging that the inside or/and the outside of the steel wire are damaged, and sending a determination instruction that the detection signal meets the first damage condition.
The magnetic flux leakage data comprise test current and magnetic flux data of unit length, when the magnetic flux of unit length is larger than a preset magnetic flux threshold value, the magnetic flux leakage data are judged to meet the first damage condition, and a determining instruction that the detection signal meets the first damage condition is sent out.
And S23, responding to the determining instruction, and sending out a first alarm signal and damage information.
The first alarm signal can be in a text form or/and a sound form, the alarm signal in the text form is carried out on a visual screen, such as displaying an abnormal word on the screen, and the alarm signal in the sound form is played through a preset loudspeaker, such as playing an abnormal voice alarm sound.
And when the magnetic flux leakage data is judged to meet the first damage condition, sending damage information, wherein the damage information comprises damage positions, a change curve showing the relation between magnetic flux and test length, and highlighting a curve segment meeting the first damage condition in the change curve.
S24, judging the damage degree. Referring to fig. 8, steps S240-S241 are included, specifically as follows,
s240, in response to the magnetic flux being greater than a first threshold, determining a first-level lesion;
and setting a first threshold value representing magnetic flux, judging that the magnetic flux is first-stage damage when the magnetic flux is larger than the first threshold value, and transmitting a judging result judged as 'first-stage damage' for reference of users. The primary injury in this application is a relatively minor injury.
S241, in response to the magnetic flux being greater than a second threshold, determining a secondary injury;
setting a second threshold value representing the magnetic flux of the system, wherein the second threshold value is larger than the first threshold value, judging the system to be a secondary damage when the magnetic flux is larger than the second threshold value, and sending a judging result of the secondary damage for a user to refer to, wherein the secondary damage is a serious damage in the application.
S25, pushing correction suggestions according to the damage degree;
and (3) pushing a suggestion for replacing the steel wire rope when the secondary damage is determined according to the damage determination result in the step S24, and replacing the steel wire rope determined to be the secondary damage according to the damaged position of the steel wire rope and the replacement suggestion.
And when the primary damage is determined according to the damage determination result in the step S24, predicting the estimated time for changing the steel wire rope into the secondary damage according to the service condition of the steel wire rope by a preset prediction model, and providing a repair suggestion, wherein the repair suggestion can be local reinforcement and the like.
And S3, acquiring real-time image data of the steel wire rope based on a scanning device preset on the tower crane.
The detection device is provided with a scanning device, and when the moving steel wire rope passes through the scanning device, the scanning device performs 3D scanning on the steel wire rope to obtain all-dimensional real-time image data of the steel wire rope.
And S4, building a three-dimensional model according to the image data.
And establishing a three-dimensional model according to the obtained omnibearing real-time image data of the steel wire rope.
And S5, carrying out image recognition based on the three-dimensional model, and responding to the image recognition result being met by the second damage condition, judging that rust exists on the outer surface of the steel wire rope, and sending out a second alarm signal and rust information.
Setting a standard model of the steel wire rope, comparing the similarity between the established three-dimensional model and the standard model, and judging that the external shape of the steel wire rope is abnormal and judging that the external shape is first-level abnormal when the similarity is larger than a first similarity threshold value and smaller than a second similarity threshold value. And when the similarity is larger than a second similarity threshold, judging that the external shape of the steel wire rope is abnormal, and judging that the steel wire rope is two-stage abnormal. The degree of abnormality of the second level abnormality is more serious than that of the first level abnormality, and abnormality signals are transmitted. And when the similarity is smaller than the first similarity threshold value, judging that the external shape of the steel wire rope is not abnormal.
And responding to the abnormal signal, carrying out gray scale processing on the image data according to the acquired real-time image data, and judging whether a dark area exists when the rusting occurs, so as to judge whether the rusting exists or not.
The implementation principle of the method for detecting the magnetic flux leakage of the steel wire rope is as follows: the part that makes wire rope pay out is moving, the detection area of self-checking device passes through, with continuous, real-time detection signal of each section of acquisition wire rope, through the real-time detection signal of collection wire rope, it has the damage to judge that wire rope inside or/and outside exists, if the wire breakage inspection, inside and outside wearing and tearing, through the real-time image data of collection wire rope, judge whether wire rope exists corrosion, the probability that the hoist thing that causes because of wire rope damage falls smash personnel's incident, and avoid personnel to go up the tower crane in person and detect's risk.
The embodiment of the application also discloses a wire rope magnetic flux leakage detection system, which uses the wire rope magnetic flux leakage detection method, comprising the following steps: the detection module comprises a detection device and a scanning device to acquire real-time detection signals and real-time image data of the steel wire rope; the signal processing module is used for responding to the fact that the detection signal is met by the first damage condition, judging that damage exists inside or/and outside the steel wire rope, and sending out a first alarm signal and damage information; establishing a three-dimensional model according to the image data; and carrying out image recognition based on the three-dimensional model, and responding to the image recognition result being met by the second damage condition, judging that rust exists on the outer surface of the steel wire rope, and sending out a second alarm signal and rust information.
The implementation principle of the steel wire rope magnetic flux leakage detection system provided by the embodiment of the application is as follows: the part that makes wire rope pay out is moving, the detection area of self-checking device passes through, with continuous, real-time detection signal of each section of acquisition wire rope, through the real-time detection signal of collection wire rope, it has the damage to judge that wire rope inside or/and outside exists, if the wire breakage inspection, inside and outside wearing and tearing, through the real-time image data of collection wire rope, judge whether wire rope exists corrosion, the probability that the hoist thing that causes because of wire rope damage falls smash personnel's incident, and avoid personnel to go up the tower crane in person and detect's risk.
The embodiment of the application also discloses a terminal device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the wire rope magnetic flux leakage detection method of the embodiment is adopted when the processor executes the computer program.
The terminal device may be a computer device such as a desktop computer, a notebook computer, or a cloud server, and the terminal device includes, but is not limited to, a processor and a memory, for example, the terminal device may further include an input/output device, a network access device, a bus, and the like.
The processor may be a Central Processing Unit (CPU), or of course, according to actual use, other general purpose processors, digital Signal Processors (DSP), application Specific Integrated Circuits (ASIC), ready-made programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., and the general purpose processor may be a microprocessor or any conventional processor, etc., which is not limited in this application.
The memory may be an internal storage unit of the terminal device, for example, a hard disk or a memory of the terminal device, or may be an external storage device of the terminal device, for example, a plug-in hard disk, a Smart Memory Card (SMC), a secure digital card (SD), or a flash memory card (FC) equipped on the terminal device, or the like, and may be a combination of the internal storage unit of the terminal device and the external storage device, where the memory is used to store a computer program and other programs and data required by the terminal device, and the memory may be used to temporarily store data that has been output or is to be output, which is not limited in this application.
The method for detecting the magnetic flux leakage of the steel wire rope is stored in a memory of the terminal equipment through the terminal equipment, and is loaded and executed on a processor of the terminal equipment so as to be convenient for a user to use.
The embodiment of the application also discloses a computer readable storage medium, and the computer readable storage medium stores a computer program, wherein the wire rope magnetic flux leakage detection method of the embodiment is adopted when the computer program is executed by a processor.
The computer program may be stored in a computer readable medium, where the computer program includes computer program code, where the computer program code may be in a source code form, an object code form, an executable file form, or some middleware form, etc., and the computer readable medium includes any entity or device capable of carrying the computer program code, a recording medium, a usb disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, etc., where the computer readable medium includes, but is not limited to, the above components.
The method for detecting the magnetic leakage of the steel wire rope is stored in the computer readable storage medium through the computer readable storage medium, and is loaded and executed on a processor, so that the storage and the application of the method for detecting the magnetic leakage of the steel wire rope are facilitated.
The foregoing description of the preferred embodiments of the present application is not intended to limit the scope of the application, in which any feature disclosed in this specification (including abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. That is, each feature is one example only of a generic series of equivalent or similar features, unless expressly stated otherwise.
Claims (10)
1. The method for detecting the magnetic leakage of the steel wire rope is characterized by comprising the following steps of:
based on a detection device preset on the tower crane, acquiring real-time detection signals of the steel wire rope, wherein the real-time detection signals comprise electric signals and magnetic leakage signals;
responding to the condition that the detection signal is met by the first damage condition, judging that damage exists in or/and outside the steel wire rope, and sending out a first alarm signal and damage information;
acquiring real-time image data of the steel wire rope based on a scanning device preset on the tower crane;
establishing a three-dimensional model according to the image data;
and carrying out image recognition based on the three-dimensional model, and responding to the image recognition result being met by the second damage condition, judging that rust exists on the outer surface of the steel wire rope, and sending out a second alarm signal and rust information.
2. The method for detecting magnetic flux leakage of a wire rope according to claim 1, wherein the step of determining that there is damage inside or/and outside the wire rope and emitting a first alarm signal and damage information in response to the detection signal being satisfied by a first damage condition, comprises the steps of:
obtaining magnetic leakage data according to the relation between the electric signal and the magnetic leakage signal;
performing data processing on the magnetic flux leakage data;
judging whether the magnetic flux leakage data after data processing meets the first damage condition, if so, judging that damage exists in the steel wire rope or/and outside, and sending a determining instruction that the detection signal meets the first damage condition;
and responding to the determining instruction, and sending out a first alarm signal and damage information.
3. The method according to claim 2, wherein the damage information includes a damage position and a change curve showing a relationship between a magnetic flux and a test length, and wherein a curve segment satisfying a first damage condition is highlighted in the change curve.
4. The method for detecting magnetic flux leakage of a wire rope according to claim 2, wherein in response to the detection signal being satisfied by a first damage condition, it is determined that there is damage inside or/and outside the wire rope, and a first alarm signal and damage information are sent out, further comprising the steps of:
determining a first level of damage in response to the magnetic flux being greater than a first threshold;
and in response to the magnetic flux being greater than a second threshold, determining a secondary injury.
5. The method of detecting magnetic flux leakage of a wire rope according to claim 1, wherein image recognition is performed based on the three-dimensional model, and the second damage condition is satisfied in response to the image recognition result, comprising the steps of:
comparing the similarity between the three-dimensional model and a preset standard model, and sending an abnormal signal when the similarity is larger than a first similarity threshold value;
and responding to the abnormal signal, carrying out gray processing on the image data according to the acquired real-time image data, judging whether a dark part area exists, and judging that rust exists when the dark part area exists.
6. A wire rope magnetic flux leakage detection system, characterized in that the wire rope magnetic flux leakage detection method according to any one of claims 1 to 5 is used, comprising:
the detection module comprises the detection device and the scanning device to acquire real-time detection signals and real-time image data of the steel wire rope;
the signal processing module is used for responding to the fact that the detection signal is met by a first damage condition, judging that damage exists in the steel wire rope or/and outside, and sending out a first alarm signal and damage information; establishing a three-dimensional model according to the image data; and carrying out image recognition based on the three-dimensional model, and responding to the image recognition result being met by the second damage condition, judging that rust exists on the outer surface of the steel wire rope, and sending out a second alarm signal and rust information.
7. The steel wire rope magnetic flux leakage detection system according to claim 6, wherein the detection device comprises hall elements, the hall elements are arranged in an array, the detection device is provided with a detection groove (1), the inner wall of the detection groove is provided with a plurality of grooves (2), the hall elements are installed in the grooves (2), the inner wall of the detection groove (1) is arranged in an arc shape, and the detection surface of the hall elements is perpendicular to the detection groove (1).
8. The wire rope magnetic flux leakage detection system according to claim 7, wherein the installation depth of the hall element is 2mm, and the distance between the detection surface of the hall element and the arc-shaped inner wall of the detection groove (1) is 2mm.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, characterized in that the wire rope magnetic flux leakage detection method according to any one of claims 1-5 is used when the processor loads and executes the computer program.
10. A computer readable storage medium having a computer program stored therein, wherein the computer program, when loaded and executed by a processor, employs the wire rope magnetic flux leakage detection method of any one of claims 1-5.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117807853A (en) * | 2024-02-29 | 2024-04-02 | 四川省交通勘察设计研究院有限公司 | Non-contact damage prediction method for steel arch bridge suspender and related products |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117807853A (en) * | 2024-02-29 | 2024-04-02 | 四川省交通勘察设计研究院有限公司 | Non-contact damage prediction method for steel arch bridge suspender and related products |
| CN117807853B (en) * | 2024-02-29 | 2024-05-07 | 四川省交通勘察设计研究院有限公司 | Non-contact damage prediction method for steel arch bridge suspender and related products |
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