Guided wave-based crane component damage monitoring method, system, and storage medium

Abstract

The application discloses a crane component damage monitoring method and system based on a guided wave and a storage medium, and ingeniously utilizes ultrasonic guided wave detection technology to monitor the damage of a box beam of a crane, monitors the working condition of the crane, combines the working condition cumulative data (travel statistical data and load statistical data) of the crane to timely generate a detection request instruction, so that the ultrasonic guided wave detection component transmits and receives guided wave data of the box beam of the crane, and then judges and evaluates the detection data to output the damage condition of the box beam of the crane. The scheme can further introduce a detection neural network for auxiliary evaluation, so that the background management personnel can better know the on-site equipment condition. For the crane working in a port or a wharf, the scheme can more flexibly combine the working strength condition of the crane to timely perform quality inspection, and effectively guarantees the working safety and reliability of the crane.

Description

Technical Field

[0001] This invention relates to the fields of quality and safety testing technology and crane safety testing technology, and in particular to a method, system and storage medium for monitoring damage to crane components based on guided waves. Background Technology

[0002] Ports and docks are crucial transshipment points for maritime cargo transportation, handling large volumes of goods. Containers, as carriers of uniformly packaged goods, are typically transferred within the yard using lifting and hoisting equipment due to their large size and weight. Cranes, as one of the most important transfer tools in ports and docks, are frequently used in cargo yard transfers. Since the main beam of a crane bears the primary load-bearing load during cargo transfer, its load-bearing capacity largely determines the crane's reliability and transfer capability. Currently, crane main beams are primarily box girder and I-beam structures. Among these, box girder structures, due to their more complex load-bearing structure and higher load-bearing capacity, are widely used in high-load-capacity cranes (such as bridge cranes, beam cranes, and gantry cranes used in production workshops, ports, docks, and warehouses). Since cranes used in ports and docks are mostly used in open-air operations and are assembled in open environments, they are not only exposed to wind and sun during their service, but also to humidity and the possibility that sea breezes may carry components that promote corrosion of metals. Therefore, cranes need to undergo frequent component inspections and maintenance. In particular, it is crucial to focus on monitoring the condition of some components with slight corrosion or damage to prevent sudden damage during operation, which could lead to safety accidents or work stoppages.

[0003] Guided wave testing, as one of the latest methods in the field of non-destructive testing in quality and safety inspection technology, utilizes mechanical stress waves propagating along an extended structure, characterized by long propagation distances and low attenuation. Currently, guided wave testing is widely used for inspecting and scanning numerous engineering structures, especially metal pipelines worldwide; sometimes, single-location inspections can reach hundreds of meters. Besides pipeline inspection, some literature also documents its application in inspecting structures such as rails, bars, and metal plates.

[0004] Due to the complex and irregular structure of crane components, there is currently little literature documenting the application of guided wave testing to crane components, especially the combination of guided wave testing and crane operation monitoring technology. Cranes operating in ports and docks experience peak and off-peak periods, while their regular quality inspection cycles are relatively fixed. This makes it difficult for equipment managers and users to flexibly conduct preliminary flaw detection when abnormalities occur during equipment use. Especially under short-term, high-frequency use, the probability of crane malfunctions or abnormalities increases. Therefore, a flexible and convenient damage monitoring mechanism for quality inspection, along with preliminary flaw detection when crane operation monitoring shows abnormalities, to provide assessment results for on-site management to arrange maintenance, would have significant practical implications for crane safety early warning systems. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a waveguide-based method, system and storage medium for monitoring damage to crane components that is reliable in implementation, flexible in application and capable of adaptive coarse flaw detection and quality inspection according to the use of the crane.

[0006] To achieve the above-mentioned technical objectives, the technical solution adopted by this invention is as follows:

[0007] A method for damage monitoring of crane components based on guided waves, wherein the crane includes a box girder, and an ultrasonic guided wave detection assembly is disposed on the box girder. The ultrasonic guided wave detection assembly includes a transmitting module for emitting ultrasonic guided waves and a receiving module for receiving returned ultrasonic guided waves. The damage monitoring method includes:

[0008] S01. Respond to the crane's start signal, monitor the crane's working parameters and operating information in real time, and generate working monitoring data;

[0009] S02. Based on the work monitoring data, the travel distance and lifting load of the crane during operation are statistically analyzed, and travel record data and load record data are generated respectively, and then associated with the corresponding work monitoring data.

[0010] S03. Collect trip record data and load record data within a preset time period according to preset conditions, and generate trip statistics data and load statistics data respectively;

[0011] S04. Based on the travel statistics data and load statistics data, output the detection request information according to the preset conditions;

[0012] S05. Obtain the detection request information, start the ultrasonic guided wave detection component to perform ultrasonic guided wave detection on the box beam of the crane, and generate detection data;

[0013] S06. Obtain the detection data and generate the detection results based on the detection data.

[0014] As one possible implementation, solution S06 further includes:

[0015] The operating parameters of the transmitting module, the data of the ultrasonic guided waves received and returned by the receiving module, the detection results, and the time when the detection record was generated are collected to generate a detection record, which is then stored in the monitoring database.

[0016] The detection results include normal and abnormal information indicating the health status of the box girder. The abnormal information includes one or more of the following: pitting corrosion, cracks, and mechanical damage.

[0017] As a preferred implementation option, the crane described in this solution further includes a translation component and an electric hoist. The translation component is connected to the box girder, and the electric hoist is connected to the translation component, and the translation component drives the electric hoist to translate along the length direction of the box girder.

[0018] In S01, the operating parameters of the crane include: the moving speed, moving acceleration, moving time of the translation component, the load, lifting height and continuous lifting time of the electric hoist when lifting the object to be transferred.

[0019] In addition, the crane's operational information includes: the position of the object being transferred before it is lifted, the travel distance of the crane during a single transfer of the object, the transfer recording time, and the initial position, target position, travel distance, and travel recording time of the translation component driving the electric hoist to move on the box beam in a single operation.

[0020] As a preferred implementation option, this solution S01 preferably includes:

[0021] S011. When responding to the crane's start signal, establish a work log and monitor and record the crane's working parameters and operation information in real time.

[0022] S012. In response to the crane's work shutdown signal, save the work log and mark the time it was generated, and generate work monitoring data.

[0023] As a preferred implementation option, this solution S02 preferably includes:

[0024] S021. Obtain work monitoring data and extract information from the work logs in the work monitoring data;

[0025] S022. Estimate the cumulative travel S1 of the crane during one work cycle from start to finish based on the travel distance and travel recording time of the crane when transferring the object. Then set it as travel recording data.

[0026] The cumulative travel L1 of the electric hoist during one work cycle from start to finish is estimated based on the travel distance and travel recording time of the translation component driving the electric hoist to move on the box girder in a single operation, and then this is set as the load recording data.

[0027] S023. Associate the travel record data and load record data with the corresponding work monitoring data.

[0028] As a preferred implementation option, solution S03 preferably includes:

[0029] S031. Retrieve the most recent generated test record from the monitoring database, and obtain the most recent start-up time T0 of the ultrasonic guided wave test component based on the test record;

[0030] S032. Obtain the travel record data and load record data corresponding to the work monitoring data generated from time T0 to the current time T1, and sum and statistically analyze them to generate travel statistics data and load statistics data.

[0031] As a preferred implementation option, this solution S04 preferably includes:

[0032] Obtain travel statistics and load statistics, and compare them with preset thresholds respectively. When one or both of the travel statistics and load statistics are greater than the preset thresholds, output detection request information.

[0033] As a preferred implementation option, solution S06 preferably includes:

[0034] The detection data is acquired, imported into a trained detection neural network for detection, and the detection results are output.

[0035] As a preferred implementation option, the training method for the detection neural network described in this scheme preferably includes:

[0036] A01. Construct a training database, which stores a guided wave dataset, including guided wave data, its corresponding detection objects, and damage information;

[0037] A02. Extract different preset amounts of data from the training database to serve as training data and validation data, respectively.

[0038] A03. Import the training data into the neural network for training to obtain a trained detection neural network;

[0039] A04. Import the verification data into the trained detection neural network for verification. When the verification result meets the preset requirements, the model converges and the training is completed; otherwise, return to A03.

[0040] Based on the above, the present invention also provides a component monitoring method for a port crane, which includes the above-described waveguide-based crane component damage monitoring method.

[0041] As a preferred implementation option, when the guided wave-based crane component damage monitoring method is applied to the component monitoring method of this scheme, S04 further includes:

[0042] The system performs real-time vibration monitoring and / or audio monitoring on the box girder of the crane, and outputs abnormal information according to preset conditions. At the same time as outputting abnormal information, it also generates corresponding detection request information.

[0043] As a preferred implementation option, the component monitoring method of this solution preferably includes:

[0044] B01. In response to the crane's start-up signal, monitor the vibration data of the crane's box girder during crane operation and generate vibration monitoring data;

[0045] B02. Extract the amplitude of the waveform from the vibration monitoring data to obtain the amplitude data from the monitoring data;

[0046] B03. The amplitude data within a preset time period from the vibration monitoring data is judged, and when the amplitude data exceeds a preset threshold, it is counted to generate cumulative data N, thereby obtaining the number of times the box girder experiences abnormal vibration within the preset time period:

[0047] B04, acquire the cumulative data N, when it is greater than the preset threshold, generate a detection request message, and then proceed to S05.

[0048] Based on the above, the present invention also provides a waveguide-based crane component damage monitoring system, comprising:

[0049] An ultrasonic guided wave detection assembly includes a transmitting module for transmitting ultrasonic guided waves and a receiving module for receiving returned ultrasonic guided waves, wherein the transmitting module and the receiving module are both arranged on the box girder of the crane.

[0050] The operation monitoring module is used to respond to the crane's start and stop signals, monitor the crane's operating parameters and operation information in real time, and generate operation monitoring data.

[0051] The data statistics unit is used to statistically analyze the crane's travel distance and lifting load during operation based on the work monitoring data, generate travel record data and load record data respectively, and associate them with the corresponding work monitoring data; it is also used to collect travel record data and load record data within a preset time period according to preset conditions, and generate travel statistics data and load statistics data respectively.

[0052] The instruction generation unit is used to output detection request information according to preset conditions based on travel statistics data and load statistics data;

[0053] The detection control unit is used to acquire detection request information, start the ultrasonic guided wave detection component to perform ultrasonic guided wave detection on the box beam of the crane, and generate detection data;

[0054] The data judgment unit is used to acquire detection data and generate detection results based on the detection data.

[0055] Based on the above, the present invention also provides a computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement the waveguide-based crane component damage monitoring method or the port crane component monitoring method as described above.

[0056] Compared with the prior art, the present invention, employing the above technical solution, has the following advantages: The ingenious solution utilizes ultrasonic guided wave detection technology to monitor damage to the box girder of a crane. By monitoring the crane's operating conditions and combining accumulated data (travel statistics, load statistics) of the crane's operating conditions, a detection request command is generated in a timely manner. This allows the ultrasonic guided wave detection component to transmit and receive guided wave data from the crane's box girder. The damage status of the crane's box girder is then output through the judgment and evaluation of the detection data. Furthermore, this solution can introduce a detection neural network for auxiliary evaluation, enabling back-end management personnel to better understand the on-site equipment status. For cranes operating in ports and docks, this solution allows for more flexible quality inspection based on the crane's operating intensity, providing effective assurance for the crane's operational safety and reliability. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0058] Figure 1 This is a schematic diagram illustrating one embodiment of the crane mentioned in the present invention.

[0059] Figure 2 This is a schematic diagram illustrating another embodiment of the crane mentioned in the present invention.

[0060] Figure 3 This is a schematic diagram of one implementation process of the damage monitoring method of the present invention;

[0061] Figure 4 This is a schematic diagram of the training process of the detection neural network mentioned in the present invention.

[0062] Figure 5 This is a schematic diagram of one implementation process of the component monitoring method for port cranes according to the present invention;

[0063] Figure 6 This is one example of a simplified implementation structure of the unit modules of the system of the present invention;

[0064] Figure 7 This is the second example of a simplified implementation structure of the unit modules of the system of the present invention. Detailed Implementation

[0065] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the invention. Similarly, the following embodiments are only some, not all, embodiments of the present invention, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] This embodiment presents a waveguide-based method for monitoring damage to crane components, which can be applied to the damage monitoring of box girders in beam cranes. Figure 1 A double-girder crane is shown. Figure 2 A single-girder crane is shown, comprising a box girder 1 on which an ultrasonic guided wave detection assembly 2 is mounted. The ultrasonic guided wave detection assembly includes a transmitting module for emitting ultrasonic guided waves and a receiving module for receiving returned ultrasonic guided waves. Additionally, [the following is a description of the assembly, which is not directly related to the previous sentence]. Figure 3 As shown, the damage monitoring method described in this embodiment includes:

[0067] S01. Respond to the crane's start signal, monitor the crane's working parameters and operating information in real time, and generate working monitoring data;

[0068] S02. Based on the work monitoring data, the travel distance and lifting load of the crane during operation are statistically analyzed, and travel record data and load record data are generated respectively, and then associated with the corresponding work monitoring data.

[0069] S03. Collect trip record data and load record data within a preset time period according to preset conditions, and generate trip statistics data and load statistics data respectively;

[0070] S04. Based on the travel statistics data and load statistics data, output the detection request information according to the preset conditions;

[0071] S05. Obtain the detection request information, start the ultrasonic guided wave detection component to perform ultrasonic guided wave detection on the box beam of the crane, and generate detection data;

[0072] S06. Obtain the detection data and generate the detection results based on the detection data.

[0073] In order to systematically collect the data corresponding to the detection results, as a possible implementation method, this solution S06 further includes:

[0074] The operating parameters of the transmitting module, the data of the ultrasonic guided waves received and returned by the receiving module, the detection results, and the time when the detection record was generated are collected to generate a detection record, which is then stored in the monitoring database.

[0075] Regarding the inspection results, this solution triggers the inspection of the box girder of the crane by accumulating workload. This solution is flexible and convenient, and can intervene in a timely manner according to the peak and valley conditions of the crane's work. As for the inspection results, this solution can form preliminary results through on-site rough judgment, so that the back-end professionals can further analyze the inspection data. The inspection results include normal information and abnormal information indicating the health status of the box girder. The abnormal information includes one or more of the following: pitting corrosion, cracks, and mechanical damage.

[0076] The crane applicable to this solution includes not only box girders, but also a translation component and an electric hoist. The translation component is connected to the box girders, and the electric hoist is connected to the translation component, driving the electric hoist to translate along the length of the box girders. The translation component and electric hoist are common crane components, therefore, they will not be described in detail here.

[0077] Regarding the selection of monitoring parameters, in this scheme S01, the crane's working parameters include: the moving speed, moving acceleration, moving duration of the translation component, the load, lifting height, and continuous lifting duration of the electric hoist when lifting the object being transferred; the crane's operating information includes: the position of the object being transferred when it is not being lifted, the moving distance of the crane when transferring the object in a single transfer, the transfer recording time, and the initial position, target position, moving distance, and moving recording time of the translation component driving the electric hoist to move on the box beam in a single transfer.

[0078] Regarding data recording, as a preferred implementation option, this solution S01 preferably includes:

[0079] S011. When responding to the crane's start signal, establish a work log and monitor and record the crane's working parameters and operation information in real time.

[0080] S012. In response to the crane's work shutdown signal, save the work log and mark the time it was generated, and generate work monitoring data.

[0081] In terms of data accumulation and statistics, as a preferred implementation option, this solution S02 includes:

[0082] S021. Obtain work monitoring data and extract information from the work logs in the work monitoring data;

[0083] S022. Estimate the cumulative travel S1 of the crane during one work cycle from start to finish based on the travel distance and travel recording time of the crane when transferring the object. Then set it as travel recording data.

[0084] The cumulative travel L1 of the electric hoist during one work cycle from start to finish is estimated based on the travel distance and travel recording time of the translation component driving the electric hoist to move on the box girder in a single operation, and then this is set as the load recording data.

[0085] S023. Associate the travel record data and load record data with the corresponding work monitoring data.

[0086] Regarding the selection of the data statistics duration, as a preferred implementation option, this solution S03 includes:

[0087] S031. Retrieve the most recent generated test record from the monitoring database, and obtain the most recent start-up time T0 of the ultrasonic guided wave test component based on the test record;

[0088] S032. Obtain the travel record data and load record data corresponding to the work monitoring data generated from time T0 to the current time T1, and sum and statistically analyze them to generate travel statistics data and load statistics data.

[0089] Based on this, as a preferred implementation option, solution S04 preferably includes:

[0090] Obtain travel statistics and load statistics, and compare them with preset thresholds respectively. When one or both of the travel statistics and load statistics are greater than the preset thresholds, output detection request information.

[0091] This solution records the crane's operating parameters and operational information in detail for each work cycle (from equipment startup to shutdown). It then uses this data to statistically analyze the status of each work cycle, generating travel and load records. This method not only allows back-end management personnel to obtain detailed information about the crane's operation but also facilitates rapid calculation and extraction when estimating its travel and cumulative load. However, existing technical literature rarely records solutions that statistically analyze crane cumulative load and travel to generate relevant inspection requests. This is partly because most crane inspections are currently conducted periodically, and solutions that flexibly adjust maintenance based on the crane's workload are rarely implemented or reported. For indoor or stable working environments, periodic crane inspections are sufficient for most troubleshooting requirements. However, for docks and ports, due to variable environmental factors and peak / valley periods in cargo transport, it is essential to flexibly adjust component damage monitoring based on crane application conditions.

[0092] In traditional solutions, ultrasonic guided wave testing requires personnel with certain operational and analytical skills. However, for on-site temporary testing, manual methods may delay troubleshooting efficiency. Since neural network data analysis technology is relatively mature, using computers to analyze data and obtain preliminary assessment results has positive practical significance. Therefore, as a preferred implementation option, solution S06 includes:

[0093] The detection data is acquired, imported into a trained detection neural network for detection, and the detection results are output.

[0094] Among them, when introducing neural networks for detection data evaluation, combined with Figure 4 As shown, the training method for the detection neural network described in this scheme includes:

[0095] A01. Construct a training database, which stores a guided wave dataset, including guided wave data, its corresponding detection objects, and damage information;

[0096] A02. Extract different preset amounts of data from the training database to serve as training data and validation data, respectively.

[0097] A03. Import the training data into the neural network for training to obtain a trained detection neural network;

[0098] A04. Import the verification data into the trained detection neural network for verification. When the verification result meets the preset requirements, the model converges and the training is completed; otherwise, return to A03.

[0099] Based on the above, this embodiment also provides a component monitoring method for port cranes, which includes the waveguide-based crane component damage monitoring method described above.

[0100] When the waveguide-based crane component damage monitoring method is applied to the component monitoring method of this scheme, S04 also includes:

[0101] The system performs real-time vibration monitoring and / or audio monitoring on the box girder of the crane, and outputs abnormal information according to preset conditions. At the same time as outputting abnormal information, it also generates corresponding detection request information.

[0102] Combination Figure 5 As shown, as a preferred implementation option, the component monitoring method of this scheme preferably includes:

[0103] B01. In response to the crane's start-up signal, monitor the vibration data of the crane's box girder during crane operation and generate vibration monitoring data;

[0104] B02. Extract the amplitude of the waveform from the vibration monitoring data to obtain the amplitude data from the monitoring data;

[0105] B03. The amplitude data within a preset time period from the vibration monitoring data is judged, and when the amplitude data exceeds a preset threshold, it is counted to generate cumulative data N, thereby obtaining the number of times the box girder experiences abnormal vibration within the preset time period:

[0106] B04, acquire the cumulative data N, when it is greater than the preset threshold, generate a detection request message, and then proceed to S05.

[0107] The cumulative data N can be a positive integer such as 5, 10, 15, or 20.

[0108] Combination Figure 6As shown, based on the above, this embodiment also provides a waveguide-based crane component damage monitoring system, which includes:

[0109] An ultrasonic guided wave detection assembly includes a transmitting module for transmitting ultrasonic guided waves and a receiving module for receiving returned ultrasonic guided waves, wherein the transmitting module and the receiving module are both arranged on the box girder of the crane.

[0110] The operation monitoring module is used to respond to the crane's start and stop signals, monitor the crane's operating parameters and operation information in real time, and generate operation monitoring data.

[0111] The data statistics unit is used to statistically analyze the crane's travel distance and lifting load during operation based on the work monitoring data, generate travel record data and load record data respectively, and associate them with the corresponding work monitoring data; it is also used to collect travel record data and load record data within a preset time period according to preset conditions, and generate travel statistics data and load statistics data respectively.

[0112] The instruction generation unit is used to output detection request information according to preset conditions based on travel statistics data and load statistics data;

[0113] The detection control unit is used to acquire detection request information, start the ultrasonic guided wave detection component to perform ultrasonic guided wave detection on the box beam of the crane, and generate detection data;

[0114] The data judgment unit is used to acquire detection data and generate detection results based on the detection data.

[0115] Combination Figure 7 As shown, when assisted by a detection neural network, the data judgment unit also includes a neural network module; in addition, the data generated by statistics and monitoring are all stored in the server for backup.

[0116] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0117] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0118] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for damage monitoring of crane components based on guided waves, the crane including a box girder, an ultrasonic guided wave detection assembly disposed on the box girder, the ultrasonic guided wave detection assembly including a transmitting module for emitting ultrasonic guided waves and a receiving module for receiving returned ultrasonic guided waves, the crane further including a translation component and an electric hoist, the translation component being connected to the box girder, the electric hoist being connected to the translation component, and the translation component driving the electric hoist to translate along the length direction of the box girder; characterized in that, The damage monitoring method includes: S01. Respond to the crane's start signal, monitor the crane's working parameters and operating information in real time, and generate working monitoring data; S02. Based on the work monitoring data, the travel distance and lifting load of the crane during operation are statistically analyzed, and travel record data and load record data are generated respectively, and then associated with the corresponding work monitoring data. S03. Collect trip record data and load record data within a preset time period according to preset conditions, and generate trip statistics data and load statistics data respectively; S04. Based on the travel statistics data and load statistics data, output the detection request information according to the preset conditions; S05. Obtain the detection request information, start the ultrasonic guided wave detection component to perform ultrasonic guided wave detection on the box beam of the crane, and generate detection data; S06. Acquire detection data and generate detection results based on the detection data; S02 includes: S021. Obtain work monitoring data and extract information from the work logs in the work monitoring data; S022. Estimate the cumulative travel S1 of the crane during one work cycle from start to finish based on the travel distance and travel recording time of the crane when transferring the object. Then set it as travel recording data. The cumulative travel L1 of the electric hoist during one work cycle from start to finish is estimated based on the travel distance and travel recording time of the translation component driving the electric hoist to move on the box girder in a single operation, and then this is set as the load recording data. S023. Associate the travel record data and load record data with the corresponding work monitoring data; S03 includes: S031. Retrieve the most recent generated test record from the monitoring database, and obtain the most recent start-up time T0 of the ultrasonic guided wave test component based on the test record; S032. Obtain the travel record data and load record data corresponding to the work monitoring data generated from time T0 to the current time T1, and sum and statistically analyze them respectively to generate travel statistics data and load statistics data; S04 includes: acquiring travel statistics data and load statistics data, comparing them with preset thresholds respectively, and outputting detection request information when one or both of the travel statistics data and load statistics data are greater than the preset thresholds.

2. The method for monitoring crane component damage based on guided waves as described in claim 1, characterized in that, S06 also includes: The operating parameters of the transmitting module, the data of the ultrasonic guided waves received and returned by the receiving module, the detection results, and the time when the detection record was generated are collected to generate a detection record, which is then stored in the monitoring database. The detection results include normal and abnormal information indicating the health status of the box girder. The abnormal information includes one or more of the following: pitting corrosion, cracks, and mechanical damage.

3. The method for monitoring crane component damage based on guided waves as described in claim 2, characterized in that, In S01, the operating parameters of the crane include: the moving speed, moving acceleration, moving time of the translation component, the load, lifting height and continuous lifting time of the electric hoist when lifting the object to be transferred; The crane's operational information includes: the position of the object being transferred before it is lifted, the travel distance of the crane during a single transfer of the object, the transfer recording time, and the initial position, target position, travel distance, and travel recording time of the translation component driving the electric hoist to move on the box girder in a single operation.

4. The method for monitoring crane component damage based on guided waves as described in claim 3, characterized in that, S01 includes: S011. When responding to the crane's start signal, establish a work log and monitor and record the crane's working parameters and operation information in real time. S012. In response to the crane's work shutdown signal, save the work log and mark the time it was generated, and generate work monitoring data.

5. The method for monitoring crane component damage based on guided waves as described in claim 1, characterized in that, S06 includes: Acquire detection data, import it into a trained detection neural network for detection, and output the detection results; The training method for the detection neural network includes: A01. Construct a training database, which stores a guided wave dataset, including guided wave data, its corresponding detection objects, and damage information; A02. Extract different preset amounts of data from the training database to serve as training data and validation data, respectively. A03. Import the training data into the neural network for training to obtain a trained detection neural network; A04. Import the verification data into the trained detection neural network for verification. When the verification result meets the preset requirements, the model converges and the training is completed; otherwise, return to A03.

6. A method for monitoring components of a port crane, characterized in that, It includes the waveguide-based crane component damage monitoring method as described in any one of claims 1 to 5; S04 also includes: The system performs real-time vibration monitoring and / or audio monitoring on the box girder of the crane, and outputs abnormal information according to preset conditions. At the same time as outputting abnormal information, it also generates corresponding detection request information.

7. The component monitoring method for a port crane as described in claim 6, characterized in that, It includes: B01. In response to the crane's start-up signal, monitor the vibration data of the crane's box girder during crane operation and generate vibration monitoring data; B02. Extract the amplitude of the waveform from the vibration monitoring data to obtain the amplitude data from the monitoring data; B03. The amplitude data within a preset time period from the vibration monitoring data is judged, and when the amplitude data exceeds a preset threshold, it is counted to generate cumulative data N, thereby obtaining the number of times the box girder experiences abnormal vibration within the preset time period: B04, acquire the cumulative data N, when it is greater than the preset threshold, generate a detection request message, and then proceed to S05.

8. A waveguide-based crane component damage monitoring system, which applies the waveguide-based crane component damage monitoring method according to any one of claims 1 to 5; characterized in that, It includes: An ultrasonic guided wave detection assembly includes a transmitting module for transmitting ultrasonic guided waves and a receiving module for receiving returned ultrasonic guided waves, wherein the transmitting module and the receiving module are both arranged on the box girder of the crane. The operation monitoring module is used to respond to the crane's start and stop signals, monitor the crane's operating parameters and operation information in real time, and generate operation monitoring data. The data statistics unit is used to statistically analyze the crane's travel distance and lifting load during operation based on the work monitoring data, generate travel record data and load record data respectively, and associate them with the corresponding work monitoring data; it is also used to collect travel record data and load record data within a preset time period according to preset conditions, and generate travel statistics data and load statistics data respectively. The instruction generation unit is used to output detection request information according to preset conditions based on travel statistics data and load statistics data; The detection control unit is used to acquire detection request information, start the ultrasonic guided wave detection component to perform ultrasonic guided wave detection on the box beam of the crane, and generate detection data; The data judgment unit is used to acquire detection data and generate detection results based on the detection data.

9. A computer-readable storage medium, characterized in that: The storage medium stores at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement the waveguide-based crane component damage monitoring method as described in any one of claims 1 to 5, or the port crane component monitoring method as described in any one of claims 6 to 7.

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