CN116086677A - Multi-wire rope tension balance monitoring method and system and electronic equipment - Google Patents
Multi-wire rope tension balance monitoring method and system and electronic equipment Download PDFInfo
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- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
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Abstract
The invention discloses a multi-wire rope tension balance monitoring method, a system and electronic equipment. And the AI visual tension detection module acquires the surface image of the steel wire rope and inputs the surface image into the state evaluation large model. The state evaluation large model performs reasoning analysis on the acquired images, inputs the surface health images into the tension balance evaluation model, and simultaneously performs recognition and damage accumulation judgment on the surface damage; and if the steel wire rope exceeds the service condition, stopping the tension balance evaluation model. According to the structural characteristics of the uneven twisting strands on the surface of the steel wire rope, the magnetic flux density detection module operates regularly according to the visual detection result, and tension detection of the steel wire ropes one by one is achieved. And according to DS evidence theory, the tension balance of the multi-rope hoisting steel wire rope is subjected to fusion analysis, and the tension difference between the steel wire ropes is calculated. The invention integrates AI vision and magnetic flux density detection technology, realizes accurate and efficient monitoring of tension balance, and ensures safe and reliable operation of the hoisting steel wire rope.
Description
Technical Field
The invention belongs to the technical field of equipment monitoring and safety, and particularly relates to a multi-wire rope tension balance monitoring method, a system and electronic equipment.
Background
In the development process of economic construction in China, the steel wire rope is widely applied. Especially in non-ferrous metal, coal industry and transportation industry, etc., wire rope often has the irreplaceable effect as the key parts of bearing and pulling of equipment such as lifting machine, elevator and winch. Thus, reliable and stable application of the wire rope in the equipment is relevant for the status performance of the equipment and the safety of the operators.
Because the phenomena of personal casualties and enterprise production loss caused by the safety problem of the steel wire rope still exist, the safe and reliable use of the steel wire rope is more and more paid attention to. The main reason for the safety problem of the steel wire rope is that the steel wire rope carries dynamic, uncertain loads, and thus the tension to which it is subjected is subject to change. In particular, in the case of equipment or systems having multi-rope hoist ropes, if there are problems such as errors in the manufacture of the friction rope grooves, variations in the friction coefficient due to wear of the drum liners, errors in the manufacture of the ropes, uneven load distribution in the load carrying containers, and installation and tensioning, the multi-rope hoist ropes must have unbalanced tension. And when the tension difference of a certain steel wire rope and the average tension difference of the steel wire rope are too large, the service lives of the steel wire rope and the friction liner are seriously influenced, and even running accidents such as strand breakage and rope breakage can occur. The requirement of the coal mine safety regulations in China is that the tension difference and the average tension difference between the steel wire ropes should not exceed +/-10 percent. Then, the timely and effective monitoring of each of the multi-rope hoisting ropes is an important means for ensuring the tension balance of the multi-rope hoisting ropes and conforming to the prescribed tension difference. Therefore, it is necessary to develop an accurate and reliable tension balance monitoring system for multi-rope hoisting ropes.
At present, a plurality of methods for detecting the tension of a steel wire rope are provided, and various tension detection methods can be roughly divided into two parts: a contact type tension detection method and a non-contact type tension detection method. The contact tension detection method is early in research and application. The contact tension detection method comprises the following steps: a tandem method, a three-point or five-point bending method, a contact vibration measurement and other tension detection methods. The serial connection method is to connect a force sensor in series between the steel wire rope and the lifting object to directly measure the tension of the steel wire rope; the three-point or five-point bending method is to synthesize and decompose according to the mechanical principle to measure the tension of the steel wire rope. The contact vibration measurement means that the steel wire rope is knocked to force the steel wire rope to vibrate, and the tension of the steel wire rope is measured by utilizing the vibration characteristic of the steel wire rope. The non-contact tension detection method is a method for detecting the tension of a steel wire rope based on nondestructive detection technologies such as light, electricity, magnetism, ultrasound and the like. The non-contact tension detection method comprises an electric parameter method, an electromagnetic method, a visual vibration measurement method and the like. The electric parameter method is to use a detection device to convert the tension to be detected into measurement of electric parameters such as capacitance, inductance and the like related to the tension. The visual vibration measurement method is to analyze the vibration characteristics of the steel wire rope by utilizing image processing, and then calculate the tension of the steel wire rope by combining the vibration equation of the steel wire rope. The electromagnetic method is a method for detecting tension by measuring electromagnetic parameters of an electric and magnetic steel wire rope under stress by utilizing an electromagnetic induction principle.
Nowadays, the requirements for detecting the tension of the steel wire rope are higher and higher. Some contact detection methods and devices have artificial errors, and in long-term use, the sensors and the strain elements are easy to generate factors such as shaping deformation, the detection precision is greatly affected, and dynamic and real-time online detection cannot be met. The non-contact detection method has greatly advanced along with the development of new technology, but some defects which are difficult to overcome exist, and the detection requirements on the tension and the balance of the multi-rope hoisting steel wire rope cannot be met.
Through searching, the method for detecting the tension of the steel wire rope of the multi-rope hoist, which is disclosed in the application publication number CN 101726383A, utilizes an acceleration sensor to detect the propagation period t of vibration waves of transverse vibration of the steel wire rope, and indirectly measures the tension of the steel wire rope. The invention can accurately and synchronously detect the tension and the tension uniformity of the multi-rope steel wire rope, but can not dynamically and online detect. The non-contact cable force testing method disclosed in the application publication No. CN 111044197A is characterized in that the tension of the bridge steel cable is indirectly detected by adopting a visual vibration detection mode, and the defect is that the tension of the steel cable cannot be dynamically detected in real time. If the application publication number is CN 109341927A, the tension of the steel wire rope to be detected is detected according to the electromagnetic induction principle by utilizing the excitation mode of the bypass coil, but the device structure and the method cannot meet the synchronous detection of the multi-rope lifting steel wire rope. Therefore, the existing non-contact detection method for the steel wire rope has obvious defects in tension detection applied to the multi-rope lifting steel wire rope. Therefore, there is a need for an accurate and reliable online monitoring method and system.
Disclosure of Invention
In order to solve the technical problems mentioned in the background art, the invention provides a multi-wire rope tension balance monitoring method, a system and electronic equipment.
In order to achieve the technical purpose, the technical scheme of the invention is as follows:
the multi-wire rope tension balance monitoring method comprises the following steps:
s1, acquiring a steel wire rope surface image, and preprocessing the acquired steel wire rope surface image;
s2, recognizing the image preprocessed in the step S1; identifying broken wires, broken strands, abrasion and deformation characteristics in the image as damage characteristics, and marking categories, damage positioning frames and confidence in the image; according to the frequency of occurrence of the damage characteristic, the damage condition of the steel wire rope is evaluated in an accumulated mode, and then the balance judgment of the lifting tension is carried out; when the surface health diagnosis model judges that the damage condition of the steel wire rope exceeds the service condition, the steel wire rope is externally alarmed, the replacement of the steel wire rope is prompted, the judgment of the lifting tension balance of the steel wire rope is stopped, and the step S1 is repeated;
s3, detecting the tension of the steel wire rope in an eddy current detection mode by utilizing an electromagnetic induction principle according to a balance judgment conclusion of the lifting tension of the steel wire rope with service conditions in the step S2; collecting electromagnetic signals on the surface of the steel wire rope, removing noise parts in the signals, and amplifying the rest parts to obtain preprocessed signals;
s4, according to the preprocessing signals obtained in the step S3; analyzing the fitting relation of the tension F acting on the steel wire rope and the distance delta d between twisted strands of the steel wire rope, and calculating the tension acting on the steel wire rope;
and S5, according to a DS evidence fusion theory, combining a balance judgment result of image recognition and tension values of all the steel wire ropes obtained through electromagnetic detection to obtain a final balance conclusion of the multi-rope hoisting steel wire rope.
Preferably, step S1 specifically refers to: and establishing a visual detection module, wherein front and rear cameras of the visual detection module are required to completely cover all the steel wire ropes, the illumination intensity and illumination uniformity of the scene are controlled, the surface images of the steel wire ropes are collected, and noise reduction and deblurring treatment are carried out on the collected steel wire rope images.
Preferably, in step S2, the image recognition uses the YOLO series of the one-stage object detection algorithm as a backbone network; the tension balance improving assessment uses a two-stage target detection algorithm Faster R-CNN series model as a main network, an Attention mechanism is added, a steel wire rope part in a detection image is segmented, the color depth degree of the steel wire rope in the image is taken as the Attention direction of the Attention mechanism, the part with the deepest color is identified, and an identification frame is marked in the image and output.
Preferably, step S3 specifically refers to: the method comprises the steps of detecting along the surface of a steel wire rope by using an eddy current probe, arranging a Hall element in the probe, sensing the magnetic flux density on the surface of the steel wire rope, converting the magnetic flux density into corresponding electromagnetic signals, removing noise parts in the signals, and amplifying the rest parts to obtain preprocessed signals.
Preferably, step S4 specifically refers to:
a time node t for acquiring the trough of n electric signals is recorded as
A time node t for acquiring peaks of n electrical signals, denoted +.>
Firstly, acquiring the position of a trough, and then acquiring a time node t of a peak, and sequentially acquiring the time node t; and the time nodes t with the same subscript number are the time nodes of adjacent wave crests and wave troughs; the peak-to-valley average time interval deltat of the electrical signal is expressed as follows:
obtaining the average distance delta d=delta T.V between twisted strands of the steel wire rope under the action of a certain tension F according to the average time interval delta T of the wave peaks and the wave troughs of the electric signal, wherein V is the running speed of the steel wire rope; the average time interval of the peak and trough of the electric signal of the ith steel wire rope is delta T i ；
Obtaining a value of the tension F through a fitting relation between the average distance delta d among twisted strands of the steel wire rope and the tension F; wherein the fitting relation f=g (Δd), g (x) is a functional relation of the fitting curve;
ith wire rope of multi-rope hoisting wire ropeThe tension calculation formula of (2) is F i ＝g(Δd i )＝g(ΔT i ·V)。
Preferably, the tension difference between any two steel wires in step S5 is
Common->
And F, wherein i 、F j The hoisting tension values of the ith steel wire rope and the jth steel wire rope in the n steel wire ropes are respectively equal to i & gtj; calculating the average tension difference
Wherein->
Is the sum of the tension difference values between any two steel wire ropes; to determine the tension difference, if
The tension difference is regarded as exceeding the regulation limit, and the tension of the steel wire rope exceeds the service condition; if->
The tension difference is considered to meet the regulation limit, and the tension of the steel wire rope meets the service condition.
A multi-wire rope tension balance monitoring system comprising:
the visual detection module comprises a pair of industrial cameras and wireless signal transmission devices thereof, wherein the industrial cameras are respectively positioned at the front end and the rear end of a plane where the steel wire rope is positioned and are symmetrically arranged; the acquisition range of the industrial camera completely covers all the steel wire ropes;
the magnetic flux density detection module comprises an electromagnetic detection device and a wireless signal transmission device thereof;
the steel wire rope state evaluation module comprises an image preprocessing module, an image surface diagnosis module and a steel wire rope lifting tension evaluation module;
the visual detection module transmits the acquired image information of the surface of the steel wire rope to the steel wire rope state evaluation module, and the magnetic flux density detection module transmits the acquired magnetic flux density information of the steel wire rope to the steel wire rope state evaluation module; the steel wire rope state evaluation module judges the tension balance of the steel wire rope according to the image information of the surface of the steel wire rope and the magnetic flux density information of the steel wire rope.
Preferably, the electromagnetic detection device is in non-contact relation with the steel wire rope, and the electromagnetic detection device is fixedly connected with the ground or the wall surface.
Preferably, the electromagnetic detection device is internally provided with a plurality of paths of eddy current probes with adjustable intervals; the probe is internally provided with a Hall element.
A multi-wire rope tension balance monitoring electronic device, comprising: the system comprises a memory and a processor, wherein the memory stores a computer program executable by the processor, and the processor realizes the multi-wire rope tension balance monitoring method when executing the computer program.
The beneficial effects brought by adopting the technical scheme are that:
(1) Compared with the traditional contact type tension detection mode, the multi-wire rope tension balance monitoring method, the system and the electronic equipment have the advantages that the sensor does not need to be in direct contact with the lifting wire rope to be detected, so that the sensor can be prevented from deforming or failing in long-term contact and stress, and the detection precision is prevented from being influenced; and the deep learning image processing model of the visual detection system is pre-trained before being put into use, and the DS evidence fusion theory is combined with electromagnetic detection, so that the result is more accurate, and errors caused by artificial factors can be avoided.
(2) Compared with the traditional visual tension detection mode, the multi-wire rope tension balance monitoring method, system and electronic equipment provided by the invention realize qualitative analysis of multi-wire rope lifting wire rope tension balance according to the objective phenomenon that grease in a rope core is continuously extruded to the surface of a wire rope after the wire rope is stressed, and the qualitative analysis is essentially differential recognition of transverse comparison of image targets, so that the calculated amount of image recognition is greatly reduced, the processing speed is obviously improved, and compared with the method, the method and the system do not need higher image imaging quality. And combining with the tension quantitative detection result of electromagnetic detection, carrying out feedback enhancement on the visual tension assessment model according to the DS evidence fusion theory, so that the online detection visual model is continuously updated and evolved.
(3) Compared with the traditional electromagnetic tension detection mode, the multi-wire rope tension balance monitoring method, system and electronic equipment can realize the detection of synchronous tension values of a plurality of wire ropes; the electromagnetic detection part adopts a detachable mounting structure, so that the installation and the debugging are convenient; the electromagnetic detection module does not need real-time online detection, can periodically realize quantitative tension detection according to the tension balance evaluation model instruction, keeps the real-time online monitoring of the visual detection module, does not prevent the normal operation of the lifting system, meets the actual production working condition requirements of a production enterprise, and has extremely high practicability.
(4) Compared with a vibration measurement tension detection method, the multi-wire rope tension balance monitoring method, the system and the electronic equipment do not need to analyze a dynamic model of the hoisting wire rope, have higher adaptability to complex working condition environments, and are rapid and simple in deployment of the detection system.
(5) The deep learning model applied by the multi-wire rope tension balance monitoring method adopts a module organization architecture, so that the feedback enhancement information obtained by the model is more targeted and efficient. Different models are established according to different application functions, feedback and control relations exist among the models, and model connection interfaces with other functions are reserved, so that the detection system is more efficient and intelligent.
(6) According to the multi-wire rope tension balance monitoring method, the electromagnetic detection module utilizes the structural characteristics of the twisted strands with the uneven surfaces of the wire ropes, only needs to acquire signal nodes of peak values and valley values of signals in a signal processing stage, and can effectively reduce the influence of wave signals acquired during vibration and swing of the wire ropes; the electromagnetic detection device does not need to be additionally provided with a structure, so that the influence of vibration on the acquired signals is reduced.
Drawings
FIG. 1 is a diagram of a system frame and method for monitoring tension balance of multiple steel wires according to the present invention;
FIG. 2 is a schematic diagram of a multi-wire rope tension balance monitoring system arrangement of the present invention;
in FIG. 2, 1-hoisting wire rope, 2-industrial camera, 3-wireless signal transmission device, 4-high performance workstation, 5-electromagnetic detection device;
FIG. 3 is a schematic diagram of the operation of the electromagnetic flux density detection of the present invention; in FIG. 3, 1-eddy current probe, 2-lift wire rope;
FIG. 4 is a frame diagram of a deep learning wire rope state evaluation large model of the present invention;
FIG. 5 is a diagram of a tension balance assessment model structure of the present invention;
FIG. 6 is a visual result display diagram of the monitoring method and system of the present invention.
Detailed Description
The technical scheme of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an automated configuration method applied to a centralized control layer monitoring system of an energy enterprise includes the following steps:
step one: converting the custom format file of the original configuration picture into a svg picture file; the conversion is generally completed by a configuration tool of an original control system manufacturer, and the common configuration tool on the market at present has the function of leading out the configuration picture with the custom format of the system into a standard and universal svg format picture, so that the naming of each configuration picture file with the derived svg format is kept unchanged.
Step two: extracting original configuration picture element detail information according to xml format information of the svg picture file, and performing category judgment on the extracted original configuration picture element detail information to obtain static picture elements and dynamic picture elements; taking a configuration picture as an example, after the original configuration picture file is converted into a svg format file, the description language of the configuration picture file is standard xml, and based on the svg file xml format information, extracting detail information of all internal graphic primitives according to keywords to form a detail table of the configuration picture graphic primitives, wherein the detail table describes identifiers, types of the graphic primitives, x coordinate values and y coordinate values of the graphic primitives, the body size (such as height, width and radius) of the graphic primitives, frame thickness, frame colors, filling colors, transparency, associated measurement points and the like. The method for judging the primitive detail information category of the original configuration picture comprises the following steps: and matching the primitive detail information with the dynamic primitive model conversion library information in the system, and judging the primitive as a dynamic primitive when the primitive detail information is consistent with the information in the dynamic primitive model conversion library, or else judging the primitive as a static primitive.
Step three: mapping and converting the static graphic element and the dynamic graphic element, checking the dynamic graphic element after mapping and converting by utilizing a point table, and recombining the dynamic graphic element after checking and the static graphic element after mapping and converting to obtain a configuration file in a svg format; the mapping conversion method of the static graphic primitive is to match information and convert format of the static graphic primitive with the corresponding static graphic primitive conversion library to obtain the static graphic primitive of the configuration picture matched by the centralized control layer monitoring system. The dot table includes: station identifier, detailed description, unit, etc. The verification work is to process the identifier and detailed description of each measuring point in the svg (including special character replacement, prefix addition or prefix reduction, suffix addition or suffix reduction and the like), then match the identifier and the detailed description with the point table library one by one, if the converted measuring point can be queried from the point table library to obtain a result (the identifier is accurately matched), the measuring point passes the verification, otherwise the measuring point fails the verification. After verification, the correct measuring point is confirmed, and the incorrect measuring point marks an abnormal mark at the position of the measuring point on the configuration picture for subsequent manual checking and correction.
Step four: and converting the obtained configuration files in the svg format into files of the centralized control layer monitoring system in batches to obtain a complete configuration picture adapted by the centralized control layer monitoring system. The configuration picture obtained at this time can finish the drawing of most main picture information and the relation of measuring point information, and for the dynamic picture element and the static picture element which are not suitable locally, the addition or modification can be continuously carried out in a manual checking and auditing mode, so that the checking and correction of the configuration picture are finally finished, and the release condition of the centralized control layer monitoring system is met.
The accuracy and the comprehensiveness of the system dynamic primitive model conversion libraries are very important, the dynamic primitive model conversion libraries of configuration tools of different automation control system manufacturers are different, and identification and judgment of the configuration tool export files of each important automation manufacturer are required to be completed in advance so as to obtain the corresponding dynamic primitive model conversion libraries. Fig. 2 is a schematic layout diagram of a multi-wire rope tension balance monitoring system, and the method for obtaining a dynamic primitive model conversion library comprises the following steps:
step one: converting the configuration picture into a svg format file;
step two: searching measuring point information associated with the dynamic primitive according to the keywords, and recording the associated dynamic primitive information to obtain a primary version of a dynamic primitive model conversion library;
step three: and (3) performing verification and identification by using the multi-configuration picture, and feeding the verification result back to the primary version of the dynamic primitive model conversion library and perfecting the primary version to obtain the dynamic primitive model conversion library.
For an automation manufacturer, the dynamic primitive model conversion library is relatively fixed, and after manual matching construction is completed, the dynamic primitive model conversion library can be repeatedly used for dynamic primitive judgment and format conversion of all subsequent configuration pictures of the automation manufacturer.
The invention also discloses an automatic configuration device applied to the centralized control layer monitoring system of the energy enterprise, which comprises:
the format conversion module is configured to convert the custom format file of the original configuration picture into an svg picture file;
the category judgment module is configured to extract original configuration picture element detail information according to xml format information of the svg picture file, and conduct category judgment on the extracted original configuration picture element detail information to obtain static picture elements and dynamic picture elements;
the mapping reorganization module is configured to perform mapping conversion on the static primitive and the dynamic primitive, verify the dynamic primitive after mapping conversion by using the point table, reorganize the dynamic primitive after verification and the static primitive after mapping conversion, and obtain a configuration file in svg format;
the batch conversion module is configured to convert the obtained configuration files in the svg format into files of the centralized control layer monitoring system in batches, and obtain a complete configuration picture adapted by the centralized control layer monitoring system.
The disclosure also provides a computer readable storage medium storing a computer program for executing the automated configuration method of the disclosure applied to the centralized control layer monitoring system of the energy enterprise.
Still another aspect of the present disclosure provides an electronic device, including:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instruction from the memory and execute the instruction to implement the automatic configuration method applied to the centralized control layer monitoring system of the energy enterprise according to the disclosure.
In addition to the methods and apparatus described above, embodiments of the present application may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the present application described in the "exemplary methods" section of the present specification.
The computer program product may write program code for performing the operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium, having stored thereon computer program instructions, which when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the present application described in the above section "exemplary method" of the present specification.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present application have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present application are merely examples and not limiting, and these advantages, benefits, effects, etc. are not to be considered as necessarily possessed by the various embodiments of the present application. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the application is not intended to be limited to the details disclosed herein as such.
The block diagrams of the devices, apparatuses, devices, systems referred to in this application are only illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
It is also noted that in the apparatus, devices and methods of the present application, the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent to the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The embodiments are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited by the embodiments, and any modification made on the basis of the technical scheme according to the technical idea of the present invention falls within the protection scope of the present invention.
Claims (10)
1. The multi-wire rope tension balance monitoring method is characterized by comprising the following steps of:
s1, acquiring a steel wire rope surface image, and preprocessing the acquired steel wire rope surface image;
s2, recognizing the image preprocessed in the step S1; identifying broken wires, broken strands, abrasion and deformation characteristics in the image as damage characteristics, and marking categories, damage positioning frames and confidence in the image; according to the frequency of occurrence of the damage characteristic, the damage condition of the steel wire rope is evaluated in an accumulated mode, and then the balance judgment of the lifting tension is carried out; when the surface health diagnosis model judges that the damage condition of the steel wire rope exceeds the service condition, the steel wire rope is externally alarmed, the replacement of the steel wire rope is prompted, the judgment of the lifting tension balance of the steel wire rope is stopped, and the step S1 is repeated;
s3, detecting the tension of the steel wire rope in an eddy current detection mode by utilizing an electromagnetic induction principle according to a balance judgment conclusion of the lifting tension of the steel wire rope with service conditions in the step S2; collecting electromagnetic signals on the surface of the steel wire rope, removing noise parts in the signals, and amplifying the rest parts to obtain preprocessed signals;
s4, according to the preprocessing signals obtained in the step S3; analyzing the fitting relation of the tension F acting on the steel wire rope and the distance delta d between twisted strands of the steel wire rope, and calculating the tension acting on the steel wire rope;
and S5, according to a DS evidence fusion theory, combining a balance judgment result of image recognition and tension values of all the steel wire ropes obtained through electromagnetic detection to obtain a final balance conclusion of the multi-rope hoisting steel wire rope.
2. The method for monitoring tension balance of multiple steel wires according to claim 1, wherein step S1 specifically refers to: and establishing a visual detection module, wherein front and rear cameras of the visual detection module are required to completely cover all the steel wire ropes, the illumination intensity and illumination uniformity of the scene are controlled, the surface images of the steel wire ropes are collected, and noise reduction and deblurring treatment are carried out on the collected steel wire rope images.
3. The method for monitoring tension balance of multiple steel wires according to claim 1, wherein in step S2, image recognition uses YOLO series as a backbone network; the tension balance improving assessment uses a two-stage target detection algorithm Faster R-CNN series model as a main network, an Attention mechanism is added, a steel wire rope part in a detection image is segmented, the color depth degree of the steel wire rope in the image is taken as the Attention direction of the Attention mechanism, the part with the deepest color is identified, and an identification frame is marked in the image and output.
4. The method for monitoring tension balance of multiple steel wires according to claim 1, wherein step S3 specifically refers to: the method comprises the steps of detecting along the surface of a steel wire rope by using an eddy current probe, arranging a Hall element in the probe, sensing the magnetic flux density on the surface of the steel wire rope, converting the magnetic flux density into corresponding electromagnetic signals, removing noise parts in the signals, and amplifying the rest parts to obtain preprocessed signals.
5. The method for monitoring tension balance of multiple steel wires according to claim 1, wherein step S4 specifically refers to:
a time node t for acquiring the trough of n electric signals is recorded as
A time node t for acquiring peaks of n electrical signals is recorded as
Firstly, acquiring the position of a trough, and then acquiring a time node t of a peak, and sequentially acquiring the time node t; and the time nodes t with the same subscript number are the time nodes of adjacent wave crests and wave troughs; the peak-to-valley average time interval deltat of the electrical signal is expressed as follows:
obtaining the average distance delta d=delta T.V between twisted strands of the steel wire rope under the action of a certain tension F according to the average time interval delta T of the wave peaks and the wave troughs of the electric signal, wherein V is the running speed of the steel wire rope; the average time interval of the peak and trough of the electric signal of the ith steel wire rope is delta T i ；
Obtaining a value of the tension F through a fitting relation between the average distance delta d among twisted strands of the steel wire rope and the tension F; wherein the fitting relation f=g (Δd), g (x) is a functional relation of the fitting curve;
the tension calculation formula of the ith steel wire rope in the multi-rope lifting steel wire rope is F i ＝g(Δd i )＝g(ΔT i ·V)。
6. The method for monitoring tension balance of multiple steel wire ropes according to claim 4, wherein the tension difference between any two steel wire ropes in step S5 is
Common->
And F, wherein i 、F j The hoisting tension values of the ith steel wire rope and the jth steel wire rope in the n steel wire ropes are respectively equal to i & gtj; calculating the average tension difference +.>
Wherein->
Is the sum of the tension difference values between any two steel wire ropes; to distinguish the tension difference, if +.>
The tension difference is regarded as exceeding the regulation limit, and the tension of the steel wire rope exceeds the service condition; if->
The tension difference is considered to meet the regulation limit, and the tension of the steel wire rope meets the service condition.
7. A system based on the multi-wire rope tension balance monitoring method of any one of claims 1-6, comprising:
the visual detection module comprises a pair of industrial cameras and wireless signal transmission devices thereof, wherein the industrial cameras are respectively positioned at the front end and the rear end of a plane where the steel wire rope is positioned and are symmetrically arranged; the acquisition range of the industrial camera completely covers all the steel wire ropes;
the magnetic flux density detection module comprises an electromagnetic detection device and a wireless signal transmission device thereof;
the steel wire rope state evaluation module comprises an image preprocessing module, an image surface diagnosis module and a steel wire rope lifting tension evaluation module;
the visual detection module transmits the acquired image information of the surface of the steel wire rope to the steel wire rope state evaluation module, and the magnetic flux density detection module transmits the acquired magnetic flux density information of the steel wire rope to the steel wire rope state evaluation module; the steel wire rope state evaluation module judges the tension balance of the steel wire rope according to the image information of the surface of the steel wire rope and the magnetic flux density information of the steel wire rope.
8. The multi-wire rope tension balance monitoring system of claim 7, wherein the electromagnetic detection device is in non-contact relationship with the wire rope, and the electromagnetic detection device is fixedly connected with the ground or the wall surface.
9. The multi-wire rope tension balance monitoring system according to claim 7, wherein the electromagnetic detection device is internally provided with a plurality of paths of eddy current probes with adjustable intervals; the probe is internally provided with a Hall element.
10. A multi-wire rope tension balance monitoring electronic device, comprising: a memory and a processor, the memory storing a computer program executable by the processor, the processor implementing the multi-wire rope tension balance monitoring method of any one of the preceding claims 1-6 when the computer program is executed.
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| CN116567438A (en) * | 2023-07-11 | 2023-08-08 | 中南大学 | Synchronous camera-based steel wire rope tension monitoring method |
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