Automatic cable conveying control method for shore power pile

Abstract

The invention discloses an automatic cable conveying control method for a shore power pile, and belongs to the technical field of shore power pile control. The system comprises a pile cable conveying supervision platform. The pile cable conveying supervision platform is in communication connection with a pile cable data acquisition module, a pile cable winding layer risk assessment module, a pile cable residual stress analysis module and a comprehensive judgment feedback module. According to the invention, early warning and accurate positioning of uneven extrusion stress between multiple winding layers of the cable are realized, breakdown damage caused by long-term extrusion of an insulating layer is effectively avoided, the service life of the cable and the safety of shore power supply are remarkably improved, and the comprehensive judgment feedback module is matched with cross validation and curve trend analysis to improve the reliability of the cable. The risk of residual stress is timely resolved, power supply interruption caused by faults such as cable plastic deformation and reel clamping stagnation is avoided, and the reliability and the intelligent level of shore power pile cable automatic conveying control are improved.

Description

Technical Field

[0001] This invention relates to the field of shore power pile control technology, specifically to an automatic cable delivery control method for shore power piles. Background Technology

[0002] As the core power supply equipment for ships during berthing in ports, shore power piles have the core function of safely and stably transmitting electricity from the land power grid to the ship, replacing the ship's own diesel generator. This significantly reduces port carbon emissions, noise pollution, and energy consumption, making them a key infrastructure for the green transformation of ports worldwide. As the energy transmission carrier between shore power piles and ships, the automatic transmission control technology of cables directly determines the safety, reliability, and convenience of shore power supply. The core functions of automatic cable extension and reeling, tension adjustment, and length adaptation are usually achieved through an integrated solution of motor drive + reel mechanism + sensor feedback + control algorithm.

[0003] In existing technologies, automatic cable conveying control only achieves basic expansion and tension adjustment through simple motor drive and sensor feedback. It lacks a multi-parameter joint analysis mechanism, making it impossible to quantify the risk of compression by combining parameters such as the number of cable winding layers and conveying speed. Furthermore, it lacks time-series statistical analysis of pressure change rates and durations of sustained exceedances, making it difficult to identify uneven interlayer compression stress defects in advance, easily leading to hidden damage to the insulation layer. Simultaneously, existing technologies do not perform hierarchical analysis and cumulative calculation of residual stress during the cable's "release-recovery" cycle, relying solely on single strain data to determine the state. This fails to accurately identify the accumulation trend of residual stress and lacks targeted fluctuation range judgment and early warning mechanisms. Excessive accumulation of residual stress can easily lead to cable plastic deformation and reel jamming, resulting in power outages and severely affecting the stability and continuity of shore power supply.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide an automatic cable delivery control method for shore power piles to solve the problems mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an automatic cable delivery control method for shore power piles, comprising a pile and cable delivery monitoring platform, wherein the pile and cable delivery monitoring platform is communicatively connected to a pile and cable data acquisition module, a pile and cable winding layer risk assessment module, a pile and cable residual stress analysis module, and a comprehensive judgment and feedback module, as detailed below:

[0007] The pile and cable data acquisition module constructs the data acquisition range based on the connection link between the target vessel and the target shore power pile, and obtains a comprehensive set of pile and cable parameters.

[0008] The pile-cable winding layer risk assessment module uses a weighted and time-series joint analysis of the multi-layer winding extrusion stress data of the cable based on the comprehensive parameter set of piles and cables to generate winding layer risk signals.

[0009] The pile cable residual stress analysis module combines historical operation database to perform hierarchical analysis of power supply residual stress data and obtain residual stress early warning signals.

[0010] After receiving the winding risk signal and residual stress early warning signal, the comprehensive judgment and feedback module builds the curve trend, cross-validates, and generates comprehensive control commands and transmission insight feedback reports to the pile and cable transmission supervision platform.

[0011] Furthermore, the process by which the pile and cable data acquisition module obtains the comprehensive parameter set of the pile and cable is as follows:

[0012] Centered on the connection link between the target vessel and the target shore power pile, a data acquisition range is constructed. Real-time extrusion pressure data at different layers and circumferential positions during the multi-layer winding process of the cable are collected and marked as multi-layer winding extrusion stress data of the cable. Real-time strain data of the cable under the current environmental power supply conditions are collected and marked as power supply residual stress data. Data normalization processing is used to convert the extrusion stress data and residual stress data of different magnitudes into standardized values ​​within a unified range, eliminating the impact of data magnitude differences on subsequent analysis. The preprocessed standardized data are summarized and integrated in the order of acquisition time to form a comprehensive pile-cable parameter set that includes multi-layer winding extrusion stress data of the cable, power supply residual stress data, and acquisition timestamps.

[0013] Furthermore, the analysis process of the pile-cable winding layer risk assessment module for the uneven interlayer compressive stress defect in multi-layer cable winding is as follows:

[0014] The multi-layer winding extrusion stress data of the cable is extracted from the comprehensive parameter set of the pile and cable. The multi-layer winding extrusion stress data of the cable includes real-time extrusion pressure data between cable layers and data related to the number of cable winding layers. The current operating conditions are constructed based on the cable conveying speed, reel speed, and relative position of the ship and shore power pile. Historical data of similar operating conditions are constructed based on the average extrusion pressure under the same number of winding layers and conveying speed, and records of insulation layer deformation failures.

[0015] Furthermore, based on the current operating conditions and historical data of similar operating conditions, joint processing is performed: weights are assigned according to the degree of influence of each parameter on the interlayer extrusion risk, the standardized values ​​of each parameter are multiplied by their corresponding weights and then summed, and the resulting values ​​are marked as the basic value of the extrusion risk of each layer of cable.

[0016] Based on the data collection time of the last set, all collected data within a certain number of minutes are summarized and archived, and marked as a monitoring cycle. The trend of extrusion pressure data at the same winding position is tracked within several consecutive monitoring cycles.

[0017] Furthermore, the preset pressure rise threshold and preset safety threshold are retrieved, and the pressure change rate and duration of continuous exceedance are analyzed: if the pressure in a certain area rises at a rate exceeding the pressure rise threshold within several monitoring cycles, or remains above 80% of the preset safety threshold for more than 3 minutes, then a basic value for squeeze risk is generated.

[0018] After obtaining the baseline value of the compression risk, or if either of the above two conditions is met, the baseline value of the compression risk in that area is doubled to obtain the real-time compression risk value. A preset threshold range is then retrieved and compared with the real-time compression risk value to determine the degree of matching: if the real-time compression risk value is less than 50% of the preset threshold range, it is considered safe; if 50% of the preset threshold range is less than or equal to 70% of the real-time compression risk value, it is considered a concern; if 70% of the preset threshold range is less than or equal to 90% of the real-time compression risk value, it is considered a warning; if the real-time compression risk value is greater than or equal to 90% of the preset threshold range, it is considered dangerous, indicating that the compression pressure has reached a dangerous range. The data used in the judgment for both warnings and dangers are summarized and marked as a layer-by-layer risk signal.

[0019] Furthermore, the analysis process of the pile cable residual stress analysis module for the defects in the cumulative residual stress data of the power supply under the current environmental power supply conditions is as follows:

[0020] The real-time strain data collected by the cable surface strain sensor during each cable release-retrieval cycle is extracted from the pile-cable integrated parameter set and marked as cable cycle strain sequence data. The number of cable cycle operations, the duration of each operation, and the tension parameters during retrieval are extracted from the historical operation database and combined with the corresponding environmental data to form a complete cycle operation parameter dataset.

[0021] Furthermore, valid cyclic operation data from the past few days were filtered out, excluding incomplete cyclic records caused by fault interruptions or manual intervention. Data was extracted sequentially according to the collection timestamps. For cable cyclic strain sequence data, only data from three high-stress areas—the starting and ending points of the reel winding and the key bending points in the middle—were extracted. By comparing the strain data fluctuation range at the same location in multiple cyclic operations, a preset fluctuation range threshold was retrieved and compared with the strain data fluctuation range for joint analysis: if the fluctuation range exceeded the fluctuation range threshold, it was marked as an unstable area; if the fluctuation range did not exceed the fluctuation range threshold, it was marked as a stable area.

[0022] Furthermore, after obtaining the unstable region, the strain data after the current cycle operation is compared with the baseline data of the cable in the initial stress-free state. The obtained value is marked as the strain deviation value of a single cycle. The order of each cycle and the corresponding strain deviation value of a single cycle are recorded. Starting from the first cycle, the strain deviation values ​​of a single cycle are accumulated sequentially. The number of accumulations is equal to the number of cycles completed. The sum is marked as the cumulative strain deviation value.

[0023] Furthermore, the cumulative strain deviation value is compared and analyzed with the baseline data: if the cumulative strain deviation value is less than 20% of the baseline data, it is determined to be no risk; if the cumulative strain deviation value is between 20% and 30% of the baseline data, it is determined to be slightly risky; if the cumulative strain deviation value is between 30% and 40% of the baseline data, it is determined to be moderately risky; if the cumulative strain deviation value is greater than 40% of the baseline data, it is determined to be severely risky. When the risk level reaches moderate or above, a residual stress warning signal is immediately generated.

[0024] Furthermore, when the comprehensive judgment and feedback module obtains the risk signal of the layer and the early warning signal of residual stress, it extracts the real-time data from the pile and cable comprehensive parameter set and the historical baseline data stored in the pile and cable transportation supervision platform, and constructs the change curves of the real-time data and the historical baseline data with the collection timestamp as the horizontal axis. The data deviation trend and the speed of risk development are presented intuitively by the curve superposition. Finally, all analysis results are integrated to generate comprehensive control instructions and transportation insight feedback reports.

[0025] The beneficial effects of this invention are:

[0026] 1. This invention uses a weighted and time-series combined analysis method through a pile-cable winding layer risk assessment module to accurately calculate the extrusion risk value by combining multiple parameters such as real-time extrusion pressure, number of winding layers, and conveying speed. At the same time, it strengthens the risk identification of abnormal pressure through a doubling correction mechanism, so as to realize early warning and accurate location of defects in uneven extrusion stress between multiple winding layers of the cable, effectively avoid the breakdown damage of the insulation layer caused by long-term extrusion, and significantly improve the service life of the cable and the safety of shore power supply.

[0027] 2. This invention uses a residual stress analysis module to perform hierarchical analysis of cable cyclic strain data, accurately calculates the cumulative strain deviation value by combining the number of cyclic operations, and achieves dynamic monitoring of residual stress accumulation through stable area division and risk level determination. It generates early warning signals in a timely manner for medium and above risks. With the cross-validation and curve trend analysis of the comprehensive judgment feedback module, it ensures the timely resolution of residual stress risks, avoids power outages caused by cable plastic deformation, reel jamming and other faults, and improves the reliability and intelligence level of automatic delivery control of shore power pile cables. Attached Figure Description

[0028] 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.

[0029] Figure 1 This is a system flowchart of the present invention;

[0030] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Example 1: Please refer to Figure 1 - Figure 2 As shown, this embodiment is an automatic cable delivery control method for shore power piles, including a pile-cable delivery monitoring platform. This platform is communicatively connected to a pile-cable data acquisition module, a pile-cable winding layer risk assessment module, a pile-cable residual stress analysis module, and a comprehensive judgment and feedback module. Through the coordinated operation of these multiple modules, precise control, risk prediction, and intelligent adjustment of the automatic delivery of shore power pile cables are achieved. This method focuses on solving two core problems: uneven interlayer compression stress in multi-layer cable winding and residual stress accumulation under current power supply conditions. It improves power supply reliability and cable lifespan. The specific module functions and detailed processing procedures are as follows:

[0033] As the core control center of the system, the shore power pile and cable delivery monitoring platform obtains basic information such as the target ship's model, tonnage, and power supply requirements through the ship identification device when the ship approaches the shore power pile and sends a docking request. Combined with preset parameters such as the rated power and cable specifications of the target shore power pile, it automatically generates a targeted monitoring start command.

[0034] The regulatory initiation command includes core parameters such as data collection accuracy, regulatory cycle, and risk threshold, which are simultaneously sent to the pile and cable data collection module to trigger the data collection and real-time monitoring process.

[0035] Throughout the entire automated cable delivery process, the cable delivery monitoring platform receives in real time the comprehensive parameter set of the cable from the cable data acquisition module, the winding risk signal output by the cable winding risk assessment module, and the residual stress warning signal sent by the cable residual stress analysis module. Through the built-in signal analysis engine, it classifies, identifies, and deeply interprets various signals. When the analysis result reaches the preset risk threshold, it automatically calls the matching processing solution, such as adjusting the cable delivery speed, optimizing the reel winding trajectory, and activating the stress release mechanism, to ensure the safe and stable cable delivery process.

[0036] It should be noted that the regulatory initiation command is the core signal connecting ship docking and data acquisition. The parameters it contains provide an operational benchmark for subsequent modules, ensuring that data acquisition and risk assessment are accurately adapted to the actual operating conditions of the target ship and shore power pile. The basic information of the target ship and the preset parameters of the shore power pile are used to customize regulatory strategies and avoid risk misjudgment caused by generalized control. The winding risk signal and residual stress early warning signal directly reflect the cable's operating status and are the direct basis for the platform to trigger processing solutions. The preset strategies in the processing solution library are used to quickly respond to risks and avoid cable damage or power outages caused by delayed manual intervention.

[0037] First, the actual working conditions are identified by the basic information of the ship and the shore power pile. Then, the appropriate regulatory instructions are customized. Subsequently, by analyzing the matching degree between the feedback signal and the preset threshold in real time, the corresponding processing solution is accurately invoked to achieve intelligent management of the entire process from docking start-up to transmission control.

[0038] By automatically generating customized regulatory instructions, the system ensures the relevance of data collection and risk assessment. At the same time, through real-time signal analysis and scheme invocation, it enables rapid response and mitigation of risks, avoids control failures caused by differences in operating conditions, and ensures the safety and reliability of automatic cable delivery.

[0039] After receiving the regulatory start command sent by the pile and cable transportation supervision platform, the pile and cable data acquisition module constructs the data acquisition range with the connection link between the target vessel and the target shore power pile as the core, covering the complete process of cable from reel release, vessel docking, power supply operation to recycling and storage.

[0040] Data collection will be carried out in stages according to the preset collection accuracy and cycle in the regulatory initiation instructions:

[0041] The first step is to collect real-time extrusion pressure data at different numbers of layers and different circumferential positions during the multi-layer winding of the cable using pressure sensors installed between the layers of the reel, and mark them as multi-layer winding extrusion stress data of the cable.

[0042] The second step is to collect real-time strain data of the cable under the current power supply conditions, such as voltage fluctuations and load changes, by using strain sensors attached to the cable surface. The results derived from the cable material parameters are then marked as power supply residual stress data.

[0043] The third step is to preprocess the collected raw data, using filtering algorithms to remove abnormal fluctuations caused by electromagnetic interference, vibration and other factors, and using data normalization to convert extrusion stress data and residual stress data of different magnitudes into standardized values ​​within a unified range, thereby eliminating the impact of data magnitude differences on subsequent analysis.

[0044] The preprocessed standardized data are summarized and integrated in chronological order of collection time to form a comprehensive set of pile and cable parameters, which includes multi-layer winding and extrusion stress data of cables, residual stress data of power supply, and collection timestamps. This provides a unified and high-quality data source for the subsequent risk assessment module.

[0045] It should be noted that the multi-layer winding extrusion stress data of the cable directly reflects the interlayer extrusion strength during the cable winding process and is the core basis for judging the defect of uneven interlayer extrusion stress; the power supply residual stress data reflects the stress accumulation state of the cable under the current power supply environment and provides a basis for assessing the risk of residual stress accumulation; the role of data preprocessing is to ensure the authenticity and validity of the original data and avoid analytical bias caused by interference data; the pile and cable comprehensive parameter set is the core carrier of system data flow, and its role is to provide unified format and accurate and effective data support for subsequent modules, ensuring that the analysis caliber of each module is consistent;

[0046] First, the data collection scope is established based on the target vessel and shore power piles to ensure the relevance of data collection. Then, core data is collected step by step according to the process. Data quality is improved through preprocessing. Finally, the data is aggregated to form a standardized dataset, providing a reliable data foundation for subsequent risk assessment. By accurately defining the collection scope, collecting key data step by step, and optimizing the data preprocessing process, it is ensured that the acquired data can truly reflect the cable's operating status, providing high-quality data support for subsequent risk assessment and control decisions. This is a prerequisite for achieving accurate risk prediction.

[0047] The risk assessment module for pile-cable winding layers analyzes the uneven interlayer compressive stress defect in multi-layer cable winding as follows:

[0048] The multi-layer winding extrusion stress data of the cable is extracted from the comprehensive parameter set of the pile and cable. The multi-layer winding extrusion stress data of the cable includes real-time extrusion pressure data between cable layers and correlation data of the number of cable winding layers. The real-time extrusion pressure data between cable layers is directly collected by pressure sensors installed between the layers of the reel, reflecting the actual extrusion intensity at different winding layers and different positions. The correlation data of the number of cable winding layers is obtained by collecting the real-time winding layer number by the counting sensor on the reel, combined with preset parameters such as cable diameter and reel radius, reflecting the degree of superposition of cable winding.

[0049] The data is jointly processed based on current operating conditions and historical data of similar conditions. Current operating conditions include cable conveying speed, reel rotation speed, and the relative positions of the vessel and shore power piles. Historical data of similar conditions represents the average extrusion pressure and insulation deformation fault records under the same winding layer number and conveying speed. The processing consists of two steps:

[0050] The first step is to use a weighted analysis method to assign weights to each parameter based on their impact on the risk of interlayer extrusion. The weights are as follows: real-time interlayer extrusion pressure data accounts for 50%, data related to the number of winding layers accounts for 30%, and data on cable delivery speed accounts for 20%. The standardized values ​​of each parameter are multiplied by their corresponding weights and then summed. The resulting values ​​are marked as the base value for the extrusion risk of each cable layer.

[0051] The second step involves using a time-series statistical method. Based on the data collection time of the last set of data, all collected data within each 5-minute period are summarized and archived, marking them as monitoring cycles. The trend of extrusion pressure data at the same winding position is tracked over three consecutive monitoring cycles. Preset pressure escalation thresholds and preset safety thresholds are retrieved. The pressure escalation threshold can be set to 0.3 MPa / minute, and the preset safety threshold can be expressed as the insulation layer's pressure tolerance threshold of 10 MPa. The rate of pressure change and the duration of continuous exceedance are analyzed.

[0052] If the pressure in a certain area rises at a rate exceeding the pressure floating threshold within 3 regulatory cycles, or remains above 80% of the preset safety threshold for more than 3 minutes, it is determined that there is a rapid increase in pressure, which poses a risk of exacerbated compression, or that high pressure continues to accumulate and will eventually lead to deformation of the insulation layer, and a base value for compression risk is generated.

[0053] Once the base value of the squeeze risk is obtained, or if either of the above two conditions is met, the original base value of the squeeze risk in that area will be doubled to obtain the real-time squeeze risk value.

[0054] The system retrieves a preset threshold range and compares it with the real-time crush risk value to obtain the degree of matching. The preset threshold range is used as a basis for determining the risk level based on the range into which the corrected real-time crush risk value falls.

[0055] If the real-time extrusion risk value is less than 50% of the preset threshold range, it is considered safe, indicating that the interlayer extrusion pressure of the cable is within a safe range and there is no risk of insulation layer damage.

[0056] If the real-time squeezing risk value is less than 70% of the preset threshold range, it is considered a concern, indicating that the squeezing pressure is trending upward and requires continuous monitoring but no immediate adjustment is needed.

[0057] If 70% of the preset threshold range is less than 90% of the real-time extrusion risk value and the real-time extrusion risk value is less than 70% of the preset threshold range, it is considered a warning, indicating that the extrusion pressure is close to the critical value and preventive measures such as adjusting the coil pitch need to be prepared.

[0058] If the real-time extrusion risk value is greater than or equal to 90% of the preset threshold range, it is judged as dangerous, indicating that the extrusion pressure has reached the dangerous range and adjustment instructions need to be triggered immediately, such as reducing the winding speed and optimizing the winding trajectory to avoid insulation layer breakdown.

[0059] When warnings or dangers occur, the data involved in the judgment are aggregated and marked as a layer-by-layer risk signal, and simultaneously sent to the pile and cable transportation supervision platform and the comprehensive judgment feedback module.

[0060] It should be noted that real-time interlayer compression pressure data is a direct indicator reflecting the interlayer compression state, and its value directly corresponds to the level of compression risk. The role of cable winding layer correlation data is to quantify the impact of winding superposition on compression pressure, avoiding the one-sidedness caused by judging solely based on pressure data. Current operating condition data is used for dynamic adaptation to analysis standards, while historical data of similar operating conditions serve as a reference benchmark to calibrate risk assessment results and reduce misjudgments caused by environmental factors. The basic value of compression risk is an initial risk quantification indicator under the combined effect of multiple parameters, while the real-time compression risk value is a precise indicator corrected by combining time-series changes. The role of both is to gradually improve the accuracy of risk assessment. The role of winding layer risk signal is to provide the regulatory platform with intuitive risk status feedback, facilitating the rapid triggering of corresponding handling solutions.

[0061] By integrating the impact of multiple factors on extrusion risk through weighted analysis and combining it with time-series statistics to track dynamic changes in pressure, the limitations of static analysis are corrected. Finally, by comparing with preset thresholds, a precise risk level signal is generated, enabling a full-process dynamic assessment of interlayer extrusion stress unevenness defects. Interlayer extrusion stress unevenness is a hidden defect in multi-layer cable winding. Initially, there is no obvious visible damage, but in the long run, it will lead to insulation breakdown. Core data is obtained by combining direct collection and derivation, and risk signals are generated by combining multi-dimensional analysis to achieve early warning and precise location of defects, avoid cable damage caused by the accumulation of extrusion stress, and extend the service life of cables.

[0062] Example 2:

[0063] The analysis process of the pile cable residual stress analysis module for the defects in the cumulative residual stress data of power supply under the current environmental power supply conditions is as follows:

[0064] Cable cyclic strain sequence data and cable cyclic operation parameter data are extracted from the comprehensive pile-cable parameter set and the pre-stored historical operation database. The cable cyclic strain sequence data is obtained as follows: real-time strain data collected by cable surface strain sensors during each cable release-recovery cycle is extracted from the comprehensive pile-cable parameter set and integrated in chronological order to form a complete strain change sequence, reflecting the stress change process of the cable in each cycle. The cable cyclic operation parameter data is obtained as follows: the number of cable cyclic operations, the duration of each operation, and the tension parameters at the time of recovery are extracted from the historical operation database and combined with the corresponding current environmental data such as temperature and humidity to form a complete cyclic operation parameter dataset, reflecting the external conditions for stress generation.

[0065] Valid cyclic operation data from the past 30 days were screened to exclude incomplete cyclic records caused by faults, interruptions, or manual intervention, ensuring data continuity. Data was extracted sequentially according to the timestamps collected to ensure data timeliness. For cable cyclic strain sequence data, only data from three high-stress areas—the beginning and end of the reel winding and the critical bending points—were extracted. Each area must contain a complete strain change sequence before, during, and after the operation to avoid biased analysis due to incomplete data.

[0066] By comparing the strain data fluctuation range at the same location in multiple cyclic operations, a preset fluctuation range threshold is retrieved and compared with the strain data fluctuation range for joint analysis.

[0067] If the fluctuation range exceeds the fluctuation range threshold, it is marked as an unstable region;

[0068] If the fluctuation range does not exceed the fluctuation range threshold, it is marked as a stable region;

[0069] After identifying the unstable region, the strain data after the current cycle is compared with the baseline data of the cable in its initial stress-free state. The obtained value is marked as the strain deviation value for a single cycle. The order of each cycle and the corresponding single-cycle strain deviation value are recorded. Starting from the first cycle, the single-cycle strain deviation values ​​are accumulated sequentially, with the number of accumulations equal to the number of cycles completed. The sum is marked as the cumulative strain deviation value, and the cumulative strain deviation value is compared and analyzed with the baseline data.

[0070] If the cumulative strain deviation is less than 20% of the baseline data, it is considered to be risk-free.

[0071] If the cumulative strain deviation value is between 20% and 30% of the baseline data, it is judged as a slight risk.

[0072] If the cumulative strain deviation value is between 30% and 40% of the baseline data, it is judged as a moderate risk.

[0073] If the cumulative strain deviation value is greater than 40% of the baseline data, it is judged as a severe risk.

[0074] When the risk level reaches medium or above, a residual stress early warning signal is immediately generated and sent to the pile and cable transportation monitoring platform and the comprehensive judgment and feedback module.

[0075] It should be noted that the cable cyclic strain sequence data intuitively reflects the stress change trajectory of the cable in each release-recovery cycle, and is the core raw data for analyzing residual stress accumulation; the cable cyclic operation parameter data provides environmental background and operation context for the strain data, and helps to determine the main causes of stress accumulation; the unstable area marker is used to locate potential stress concentration points, providing a basis for targeted treatment; the single strain deviation value and cumulative strain deviation value are used to quantify the degree of stress accumulation, and are the core indicators for risk level determination; the residual stress early warning signal is used to report high-risk status to the regulatory platform and trigger emergency treatment measures such as stress release;

[0076] First, valid data meeting the criteria are selected according to the rules to ensure the reliability of the analysis basis. Then, anomaly areas of stress change are identified through stability analysis. Single and cumulative stress deviations are quantified through deviation calculation. Finally, risk levels and early warning signals are generated by combining preset judgment criteria to achieve accurate assessment of residual stress accumulation. The long-term existence of residual stress accumulation under the current power supply conditions can lead to faults such as cable plastic deformation and reel jamming. Through clear data extraction rules and multi-dimensional analysis processes, the risk of stress accumulation can be accurately identified and warned, providing a reliable basis for decision-making for the regulatory platform and avoiding equipment damage and power outages caused by excessive accumulation of residual stress.

[0077] When the comprehensive judgment and feedback module obtains winding risk signals and residual stress early warning signals, it conducts comprehensive analysis based on multiple data sources, including real-time acquired data extracted from the pile-cable comprehensive parameter set and historical baseline data stored in the pile-cable transportation monitoring platform. The real-time acquired data includes multi-layer winding extrusion stress data of cables, cable operating status data, and environmental and power supply condition data, which are collected by sensors in real time and included in the set after preprocessing. The historical baseline data is standard reference data formed based on statistical analysis of long-term operating data.

[0078] The process consists of two steps: First, cross-validation, which compares the real-time collected data with the historical baseline data to determine whether the real-time data exceeds the safe range. At the same time, it correlates the weighted analysis results of the pile and cable winding layer risk assessment module with the stability analysis data of the pile and cable residual stress analysis module to mutually verify and eliminate false anomalies caused by sensor false alarms or transient interference, thus ensuring the accuracy of risk assessment.

[0079] The second step is curve construction. Using the data collection timestamp as the horizontal axis, curves for the changes in real-time data and historical baseline data are constructed respectively. By overlaying the curves, the trend of data deviation and the speed of risk development can be presented intuitively. For example, if the extrusion pressure curve continues to rise and the deviation from the baseline widens, it indicates that the risk of interlayer extrusion is intensifying. If the strain curve rises in a step-like manner and shows no downward trend, it indicates that the accumulation of residual stress has entered a dangerous stage.

[0080] Data from each stage are correlated and mapped to form a synergistic effect. Real-time data provides a snapshot of the current operating status, historical baseline data defines the safety boundary, cross-validation data filters invalid information, curve-based data presents risk trends, and finally all analysis results are integrated to generate comprehensive control instructions and delivery insight feedback reports. The comprehensive control instructions are sent to the pile and cable delivery supervision platform for execution, and the feedback reports are simultaneously pushed to the operation and maintenance terminal.

[0081] By cross-validating multi-source data, we avoid biased misjudgments caused by single-module analysis. At the same time, we use curves to intuitively present risk trends, ensuring the accuracy of control commands. The generated comprehensive control commands and feedback reports enable real-time risk mitigation and long-term operation and maintenance optimization, ensuring the stable and safe operation of the automatic cable conveying system under complex working conditions.

[0082] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0083] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0084] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An automatic cable delivery control method for shore power piles, characterized in that, This includes a pile and cable transportation monitoring platform, which is communicatively connected to a pile and cable data acquisition module, a pile and cable winding layer risk assessment module, a pile and cable residual stress analysis module, and a comprehensive judgment and feedback module, as detailed below: The pile and cable data acquisition module constructs the data acquisition range based on the connection link between the target vessel and the target shore power pile, and obtains a set of comprehensive pile and cable parameters. The pile-cable winding layer risk assessment module uses a weighted and time-series joint analysis of the multi-layer winding extrusion stress data of the cable based on the comprehensive parameter set of piles and cables to generate winding layer risk signals. The pile cable residual stress analysis module combines historical operation database to perform hierarchical analysis of power supply residual stress data and obtain residual stress early warning signals. After receiving the winding risk signal and residual stress early warning signal, the comprehensive judgment and feedback module builds the curve trend, cross-validates, and generates comprehensive control commands and transmission insight feedback reports to the pile and cable transmission supervision platform.

2. The automatic cable delivery control method for shore power piles according to claim 1, characterized in that, The process by which the pile and cable data acquisition module obtains the comprehensive parameter set of the pile and cable is as follows: Centered on the connection link between the target vessel and the target shore power pile, a data acquisition range is constructed. Real-time extrusion pressure data at different layers and circumferential positions during the multi-layer winding process of the cable are collected and marked as multi-layer winding extrusion stress data of the cable. Real-time strain data of the cable under the current environmental power supply conditions are collected and marked as power supply residual stress data. Data normalization processing is used to convert the extrusion stress data and residual stress data of different magnitudes into standardized values ​​within a unified range, eliminating the impact of data magnitude differences on subsequent analysis. The preprocessed standardized data are summarized and integrated in the order of acquisition time to form a comprehensive pile-cable parameter set that includes multi-layer winding extrusion stress data of the cable, power supply residual stress data, and acquisition timestamps.

3. The automatic cable delivery control method for shore power piles according to claim 1, characterized in that, The analysis process of the pile-cable winding layer risk assessment module for the uneven interlayer compressive stress defect in multi-layer cable winding is as follows: The multi-layer winding extrusion stress data of the cable is extracted from the comprehensive parameter set of the pile and cable. The multi-layer winding extrusion stress data of the cable includes real-time extrusion pressure data between cable layers and data related to the number of cable winding layers. The current operating conditions are constructed based on the cable conveying speed, reel speed, and relative position of the ship and shore power pile. Historical data of similar operating conditions are constructed based on the average extrusion pressure under the same number of winding layers and conveying speed, and records of insulation layer deformation failures.

4. The automatic cable delivery control method for shore power piles according to claim 3, characterized in that, Based on the current operating conditions and historical data of similar operating conditions, the following joint processing is performed: weights are assigned according to the degree of influence of each parameter on the interlayer extrusion risk, the standardized values ​​of each parameter are multiplied by their corresponding weights and then summed, and the resulting values ​​are marked as the basic value of the extrusion risk of each layer of cable. Based on the data collection time of the last set, all collected data within a certain number of minutes are summarized and archived, and marked as a monitoring cycle. The trend of extrusion pressure data at the same winding position is tracked within several consecutive monitoring cycles.

5. The automatic cable delivery control method for shore power piles according to claim 4, characterized in that, The preset pressure rise threshold and preset safety threshold are retrieved, and the pressure change rate and duration of continuous exceedance are analyzed: if the pressure in a certain area rises at a rate exceeding the pressure rise threshold within several regulatory cycles, or remains above 80% of the preset safety threshold for more than 3 minutes, a basic value of squeeze risk is generated. After obtaining the basic value of the crush risk, or if either of the above two conditions is met, the original basic value of the crush risk in the area is doubled to obtain the real-time crush risk value. The real-time crush risk value is compared with the preset threshold range to obtain the matching degree: if the real-time crush risk value is less than 50% of the preset threshold range, it is determined to be safe. If the real-time squeeze risk value is less than 70% of the preset threshold range, it is considered a warning sign. If the real-time squeezing risk value is less than 90% of the preset threshold range, it is considered a warning. If the real-time squeezing risk value is ≥90% of the preset threshold range, it is judged as dangerous, indicating that the squeezing pressure has reached the dangerous range; When warnings or dangers occur, the data obtained from the judgment will be aggregated and marked as a layer risk signal.

6. The automatic cable delivery control method for shore power piles according to claim 1, characterized in that, The analysis process of the residual stress analysis module for the pile cable under the current power supply conditions regarding the defects in the cumulative residual stress data is as follows: The real-time strain data collected by the cable surface strain sensor during each cable release-retrieval cycle is extracted from the pile-cable integrated parameter set and marked as cable cycle strain sequence data. The number of cable cycle operations, the duration of each operation, and the tension parameters during retrieval are extracted from the historical operation database and combined with the corresponding environmental data to form a complete cycle operation parameter dataset.

7. The automatic cable delivery control method for shore power piles according to claim 6, characterized in that, Filter the valid cyclic operation data in the past few days, exclude incomplete cyclic records caused by fault interruption or manual intervention, and extract them in the order of collection timestamp. For cable cyclic strain sequence data, only extract the data of the three high-stress areas: the beginning end, the end end, and the key bending part in the middle of the reel winding. By comparing the fluctuation range of strain data at the same location in multiple cyclic operations, a preset fluctuation range threshold is retrieved and the fluctuation range of strain data is compared and analyzed together: if the fluctuation range exceeds the fluctuation range threshold, it is marked as an unstable area. If the fluctuation range does not exceed the fluctuation range threshold, it is marked as a stable region.

8. The automatic cable delivery control method for shore power piles according to claim 7, characterized in that, After the unstable region is obtained, the strain data after the current cycle operation is compared with the baseline data of the cable in the initial stress-free state. The obtained value is marked as the strain deviation value of a single cycle. The order of each cycle and the corresponding strain deviation value of a single cycle are recorded. Starting from the first cycle, the strain deviation values ​​of a single cycle are accumulated sequentially. The number of accumulations is equal to the number of cycles completed. The sum is marked as the cumulative strain deviation value.

9. The automatic cable delivery control method for shore power piles according to claim 8, characterized in that, The cumulative strain deviation value is compared and analyzed with the baseline data: if the cumulative strain deviation value is less than 20% of the baseline data, it is judged as no risk; if the cumulative strain deviation value is between 20% and 30% of the baseline data, it is judged as a slight risk; if the cumulative strain deviation value is between 30% and 40% of the baseline data, it is judged as a moderate risk; if the cumulative strain deviation value is greater than 40% of the baseline data, it is judged as a severe risk. When the risk level reaches moderate or above, a residual stress warning signal is immediately generated.

10. The automatic cable delivery control method for shore power piles according to claim 1, characterized in that, When the comprehensive judgment and feedback module obtains the risk signal of the layer and the early warning signal of residual stress, it extracts the real-time data from the pile and cable comprehensive parameter set and the historical baseline data stored in the pile and cable transportation supervision platform, and constructs the change curves of the real-time data and the historical baseline data with the collection timestamp as the horizontal axis. The curve superposition intuitively presents the data deviation trend and the speed of risk development. Finally, it integrates all the analysis results to generate comprehensive control instructions and transportation insight feedback reports.

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