Communication cable adaptive laying method and system based on electrical monitoring

Abstract

The invention discloses a communication cable adaptive laying method and system based on electrical monitoring, and belongs to the technical field of laying control. The method comprises the following steps: when an electric laying device carries out communication cable laying according to a preset laying control parameter set, applying a detection electric signal to a laid cable and collecting electrical characteristic data, generating electrical characteristic data segments according to a preset sampling period in a segmented manner, carrying out statistical calculation on each segment of data to obtain a characteristic description parameter, carrying out differential analysis on the parameters of the adjacent sections to generate an electrical change index; and matching the index with a preset judgment rule, determining a laying state judgment result, and if the laying state judgment result is judged to be an abnormal type, selecting a corresponding target strategy from a preset adjustment strategy set, adjusting a preset laying control parameter set, sending the preset laying control parameter set to the equipment, and guiding the equipment to continue laying. According to the scheme, real-time monitoring and state judgment of communication cable laying can be achieved, abnormal conditions are found in time, and targeted adjustment is carried out. And laying stability is improved by dynamically optimizing laying parameters.

Description

Technical Field

[0001] This application belongs to the field of laying control technology, specifically relating to an adaptive laying method and system for communication cables based on electrical monitoring. Background Technology

[0002] In large-scale communication cable laying projects, precise control of the laying process is necessary to ensure both quality and efficiency. Different laying environments and cable characteristics place varying demands on the control parameters of the laying equipment, making traditional fixed-parameter control insufficient to meet the complex and ever-changing practical needs. Therefore, a method is urgently needed that can adaptively adjust control parameters based on the actual laying conditions to achieve high-quality communication cable laying.

[0003] Nowadays, a set of fixed laying control parameters is usually preset, and the electric laying equipment carries out the laying operation according to this parameter set. During the laying process, the electrical characteristics of the cable are sampled and recorded at fixed intervals. The sampling data is checked manually at regular intervals, and the laying status is judged by experience. If a problem is found, the laying control parameters are manually adjusted, and then the adjusted parameters are input into the equipment to continue the operation.

[0004] Current technologies rely on periodic manual inspections and experience-based judgments, which cannot detect changes in the laying status in real time, making it difficult to identify potential problems in a timely manner and easily leading to the escalation of issues. Moreover, manual parameter adjustments are not only inefficient, but also difficult to guarantee accuracy due to individual differences in experience, making it impossible to achieve precise adaptive adjustments of laying control parameters, thus affecting the quality and efficiency of communication cable laying. Summary of the Invention

[0005] To overcome the aforementioned shortcomings, this invention is proposed to provide a solution, or at least a partial solution, to the technical problems of existing technologies that rely on periodic manual inspections and experience-based judgments, making it impossible to perceive changes in the laying status in real time, hindering the timely detection of potential problems, and easily leading to the escalation of problems. Moreover, manual adjustment of parameters is not only inefficient, but also difficult to guarantee the accuracy of adjustments due to individual differences in experience, making it impossible to achieve precise adaptive adjustment of laying control parameters, thus affecting the quality and efficiency of communication cable laying.

[0006] In a first aspect, the present invention provides an adaptive laying method for communication cables based on electrical monitoring, the method comprising: During the process of laying communication cables using a preset set of laying control parameters with electric laying equipment, a detection electrical signal is applied to the communication cable being laid, and the corresponding electrical characteristic data is collected. According to a preset sampling period, the electrical feature data is segmented and sampled to generate each electrical feature data segment. For each electrical feature data segment, statistical calculation processing is performed on the electrical feature data within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment; Differential analysis was performed on the characteristic description parameters of each adjacent electrical characteristic data segment to obtain the electrical change index representing the change of electrical state during the laying of communication cables. Match each electrical change index with the preset judgment rules to determine the laying status judgment result corresponding to each electrical change index during the laying of communication cables; If there is an abnormal laying status determination result, based on the laying status determination result, a target adjustment strategy corresponding to the laying status determination result is selected from the preset adjustment strategy set. Based on the target adjustment strategy, the preset laying control parameter set in the communication cable laying process is adjusted, and the adjusted preset laying control parameter set is sent to the electric laying equipment to enable the electric laying equipment to continue to perform communication cable laying.

[0007] In a second aspect, the present invention provides an adaptive cable laying system based on electrical monitoring, the system comprising: The feature data acquisition module is used to apply detection electrical signals to the communication cable being laid and acquire the corresponding electrical feature data during the process of laying communication cables using a preset laying control parameter set by an electric laying equipment. The segmented sampling module is used to perform segmented sampling processing on the electrical feature data according to a preset sampling period to generate each electrical feature data segment. The statistical calculation module is used to perform statistical calculation processing on each electrical feature data segment within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment. The differential analysis module is used to perform differential analysis on the characteristic description parameters of each adjacent electrical characteristic data segment to obtain the electrical change index of each adjacent electrical characteristic data segment representing the change of electrical state during the laying of communication cables. The matching module is used to match each electrical change index with preset judgment rules to determine the laying status judgment result corresponding to each electrical change index during the laying of communication cables. The adjustment module is used to select a target adjustment strategy corresponding to the laying status determination result from a preset adjustment strategy set if there is an abnormal type of laying status determination result. Based on the laying status determination result, the module adjusts the preset laying control parameter set in the communication cable laying process according to the target adjustment strategy, and sends the adjusted preset laying control parameter set to the electric laying equipment to enable the electric laying equipment to continue to perform the communication cable laying.

[0008] In a third aspect, an electronic device is provided, comprising a processor, a memory, and a program or instructions stored in the memory and executable on the processor, the program or instructions being loaded and run by the processor to perform the steps of the aforementioned adaptive laying method for communication cables based on electrical monitoring.

[0009] In a fourth aspect, a computer-readable storage medium is provided, wherein a plurality of program codes are stored therein, the program codes being adapted to be loaded and run by a processor to perform the steps of the above-described adaptive laying method for communication cables based on electrical monitoring.

[0010] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects: In implementing the technical solution of this invention, real-time monitoring and status assessment of the communication cable laying process can be achieved, allowing for timely detection of abnormalities and targeted adjustments. Laying stability is improved through dynamic optimization of laying parameters. Attached Figure Description

[0011] The disclosure of this invention will become more readily understood with reference to the accompanying drawings. It will be readily understood by those skilled in the art that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. Furthermore, similar numbers in the drawings are used to denote similar components, wherein: Figure 1 This is a flowchart illustrating the main steps of an adaptive cable laying method based on electrical monitoring according to an embodiment of the present invention. Figure 2 This is a flowchart illustrating the main steps of an adaptive cable laying method based on electrical monitoring according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the main structure of an adaptive cable laying system based on electrical monitoring according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0012] Some embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0013] In the description of this invention, "module" and "processor" can include hardware, software, or a combination of both. A module can include hardware circuitry, various suitable sensors, communication ports, memory, and may also include software components, such as program code, or a combination of software and hardware. A processor can be a central processing unit, microprocessor, image processor, digital signal processor, or any other suitable processor. The processor has data and / or signal processing capabilities. The processor can be implemented in software, in hardware, or a combination of both. Non-transitory computer-readable storage media include any suitable medium capable of storing program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, etc. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The terms "at least one A or B" or "at least one of A and B" have a similar meaning to "A and / or B" and can include only A, only B, or A and B. The singular terms "a" or "this" can also include plural forms.

[0014] See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of an adaptive cable laying method based on electrical monitoring according to an embodiment of the present invention. Figure 1 As shown, an adaptive laying method for communication cables based on electrical monitoring in an embodiment of the present invention mainly includes the following steps S101-S106.

[0015] Step S101: During the process of laying communication cables using the electric laying equipment with a preset laying control parameter set, a detection electrical signal is applied to the communication cable being laid, and the corresponding electrical characteristic data is collected.

[0016] Electric cable laying equipment is a device used for automatically or semi-automatically laying communication cables. It is equipped with a cable supply and laying mechanism, a drive mechanism and a control unit, and can perform laying operations according to preset parameters.

[0017] The preset laying control parameter set is a set of parameters that are set in advance before the laying of communication cables. It is used to guide the electric laying equipment to perform the laying operation throughout the process, including laying speed, global tension control range, and laying rhythm.

[0018] Communication cables are conductor assemblies used for signal or data transmission. They consist of conductors, insulation layers, and sheathing layers and can be laid on the ground, underground, and in other types of laying environments to perform the function of data and signal transmission.

[0019] The detection electrical signal is a low-amplitude voltage or current signal applied to the communication cable to be laid during the laying process. The purpose is to excite the electrical response of the cable and facilitate the acquisition of its electrical state.

[0020] Electrical characteristic data are the data generated after a communication cable responds to a detected electrical signal, including resistance, capacitance, voltage, current waveform, phase, etc.

[0021] When using a pre-set set of laying control parameters for communication cable laying, the electric cable laying equipment first fixes the cable to be laid on the supply device and guide rollers, maintaining the cable along the preset laying path and under tension. Simultaneously, the laying speed and tension control range are set according to the pre-set set of laying control parameters. During the laying of each cable segment, a small-amplitude, known-frequency detection electrical signal is applied to the cable, allowing it to propagate along the cable. Voltage, current, and phase response data are collected along the cable surface or conductor in the laying direction. During the cable laying process, the electric laying equipment continuously applies detection electrical signals to the cable being laid and collects the cable's electrical response signals in real time. The collected electrical response signals are processed immediately to calculate parameters such as instantaneous resistance, capacitance, impedance, and signal waveform changes, forming real-time updated electrical characteristic data. At this stage, the electrical characteristic data is in a continuous flow state and has not yet been segmented according to the preset sampling period, providing complete dynamic electrical information support for subsequent segmented analysis and laying status determination.

[0022] Step S102: According to the preset sampling period, the electrical feature data is segmented and sampled to generate each electrical feature data segment.

[0023] The preset sampling period is a time interval or laying length interval set before the communication cable is laid, used to divide the continuously collected electrical characteristic data. Within this period, the collected cable electrical responses are grouped into data sets within the same time or spatial range.

[0024] An electrical characteristic data segment is a single data unit formed by dividing continuously acquired electrical characteristic data according to a preset sampling period. Each data segment covers the complete response information of the cable to the detected electrical signal within the corresponding time window or laying length range, including instantaneous resistance, capacitance, impedance, and signal waveform changes.

[0025] During the laying of communication cables, the electric laying equipment continuously collects real-time electrical characteristic data of the cables. This data stream completely records the continuous response of the cables to the applied detection electrical signals. To enable this continuous electrical characteristic data to be used for subsequent feature extraction and state determination, the data needs to be segmented according to a preset sampling period. Specifically, firstly, based on the preset sampling period, the continuous electrical signal is divided into several independent time windows, each corresponding to a fixed length interval or fixed time interval during the cable laying process. Within each time window, the collected instantaneous voltage, current, phase, impedance, and other electrical parameters are processed separately. Frequency domain characteristics are calculated using Fast Fourier Transform, and simultaneously, the average resistance, capacitance, impedance changes, and waveform amplitude, fluctuation, and slope of the signal within that time window are calculated using time domain integration. These calculated parameters are then summarized into the electrical characteristic data for the corresponding time window, forming a complete electrical characteristic data segment. Repeat the above operation to process each continuous time window in turn, generate each electrical feature data segment one by one, and then convert the original continuous electrical feature data into a discrete data sequence segmented according to a preset sampling period.

[0026] Step S103: For each electrical feature data segment, perform statistical calculation processing on the electrical feature data within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment.

[0027] The characteristic description parameters are a set of quantitative indicators obtained by statistically calculating and processing instantaneous voltage, current, impedance, capacitance, and signal waveform data within each electrical characteristic data segment within a corresponding preset sampling period. These parameters include average value, maximum value, minimum value, standard deviation, slope of change, and frequency domain amplitude. They are used to reflect the overall electrical level, fluctuation characteristics, and changing trends of the corresponding cable segment, thereby accurately characterizing the electrical state of the electrical characteristic data segment.

[0028] During the laying of communication cables, each electrical characteristic data segment contains continuous instantaneous voltage, current, impedance, capacitance, and signal waveform data collected along the laying length. For this segment of data, the instantaneous voltage and current signals are first averaged according to the sampling time sequence to obtain the average voltage and average current of the segment, reflecting the overall electrical level of the cable in that segment. Simultaneously, the maximum, minimum, and standard deviation of the voltage, current, and impedance in this segment are calculated to describe the fluctuation amplitude and stability of the cable in that segment. Then, combining the sampling time and information along the laying length, the slope and increment of voltage and impedance changes with the laying process are calculated to obtain parameters that reflect the changing trend of the cable's electrical state. Furthermore, a Fast Fourier Transform is performed on the signal waveform data to extract the frequency domain amplitude, dominant frequency peak, and harmonic characteristics, thereby revealing the dynamic response characteristics of the cable in that segment. All numerical indicators obtained through the above statistical calculations and frequency domain analysis are integrated to form the characteristic description parameters of this electrical characteristic data segment, serving as the basic data for quantitatively characterizing the electrical state of this cable segment.

[0029] Based on the above technical solution, optionally, statistical calculation processing is performed on the electrical feature data within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment, including: Within the corresponding preset sampling period, read the electrical feature data from the corresponding electrical feature data segment. Within the preset sampling period, numerical statistical processing is performed on the electrical characteristic data to obtain a first statistical result; Within the preset sampling period, change statistical processing is performed on the electrical characteristic data in the electrical characteristic data segment to obtain a second statistical result; Based on the first statistical result and the second statistical result, feature description parameters representing the electrical state of the electrical feature data segment are generated.

[0030] In this scheme, the electrical characteristic data are raw measurement data collected by relevant equipment for laying communication cables within a preset sampling period, which can reflect the electrical operating status of the cables. This includes current values, voltage values, resistance values, insulation impedance values, leakage current, electrical power, and other equivalent electrical parameters.

[0031] The first statistical result is a statistical measure obtained by performing numerical statistical processing on the electrical characteristic data in the electrical characteristic data segment within the preset sampling period. It is used to characterize the overall level or central tendency of the electrical characteristics. It includes the average, maximum, minimum, median, mean square, and weighted average values.

[0032] The second statistical result is a statistical measure obtained after performing statistical processing on the electrical characteristic data in the electrical characteristic data segment within the preset sampling period. It is used to characterize the changes in electrical characteristics over time. It includes the magnitude of change, rate of change, fluctuation range, standard deviation, difference value sequence characteristics, and trend slope.

[0033] After constructing the electrical feature data segment, numerical statistical processing is performed on the electrical feature data within the segment within the same preset sampling period to eliminate the influence of transient interference on the judgment results. Specifically, outlier removal and data smoothing are first performed on the electrical feature data. Then, the electrical values ​​of each sampling point are aggregated according to the time series to calculate the statistics reflecting the overall level of the electrical features, including the average, maximum, and minimum values ​​of the electrical feature data within the sampling period. This forms the first statistical result, which is used to describe the central tendency and extreme value distribution of the electrical features within the sampling period.

[0034] While obtaining the first statistical result, within the same preset sampling period, further statistical processing is performed on the electrical characteristic data in the electrical characteristic data segment to characterize the change law of electrical characteristics over time. In specific operation, the electrical values ​​of adjacent sampling points are differentially calculated according to the sampling order to obtain the change amount in each time period. Based on these changes, the fluctuation amplitude, change rate and overall change trend of electrical characteristics in the sampling period are calculated. On this basis, the change sequence is statistically summarized to obtain the second statistical result characterizing the stability and dynamic fluctuation degree of electrical characteristics. The second statistical result is used to reflect whether there are abnormal change characteristics such as sudden changes, jitter or continuous offset during cable laying.

[0035] After obtaining the first and second statistical results, they are jointly processed. Based on predefined feature combination rules, statistics reflecting the overall level and statistics reflecting the changing characteristics are parameterized and integrated to generate feature description parameters that describe the electrical state of the electrical feature data segment. These feature description parameters simultaneously encompass both the numerical state information and the changing behavior information of the electrical feature, and can comprehensively characterize the electrical operating state of the communication cable within the corresponding sampling period through a single numerical value or vector form.

[0036] In this solution, the generated electrical state characteristics take into account both overall and dynamic changes, avoid misjudgment of instantaneous data, identify communication cable laying anomalies in advance, and improve laying stability and safety.

[0037] Step S104: Perform differential analysis on the characteristic description parameters of each adjacent electrical characteristic data segment to obtain the electrical change index representing the change in electrical state during the laying of communication cables for each adjacent electrical characteristic data segment.

[0038] Electrical change indicators are quantified values ​​obtained by differential calculation or corresponding comparison of characteristic description parameters of adjacent electrical characteristic data segments. They are used to reflect the changes in the electrical state of communication cables during the laying process, as the laying length or time increases. Specifically, by calculating the differences in parameters such as average voltage, current, impedance, capacitance, signal fluctuation amplitude, slope of change, and frequency domain characteristics of adjacent data segments, the amount and trend of change between each segment are obtained. These changes are then integrated into an indicator set to describe whether abnormal fluctuations, abrupt changes, or continuous changes occur during the cable laying process.

[0039] During the laying of communication cables, each electrical characteristic data segment already contains characteristic description parameters collected along the cable's length. To quantify changes in the cable's electrical state, the characteristic description parameters of adjacent electrical characteristic data segments are first paired according to their corresponding types. For example, the average voltage of this segment is paired with the average voltage of the next segment, the maximum value is paired with the maximum value, and the impedance standard deviation is paired with the standard deviation of the next segment. Subsequently, the numerical differences for each pair of corresponding parameters are calculated, including simple differences, relative percentage changes, and rates of change, to reflect the increase or decrease in the cable's electrical state and its changing trend from one segment to the next. For the frequency domain characteristics of the signal waveform, the amplitude difference and frequency shift between the peak value of the dominant frequency and the harmonic amplitude of adjacent segments need to be calculated to obtain the frequency domain change. Finally, these amplitudes, differences, relative changes, and rates of change are summarized and integrated into a numerical set characterizing the changes in the electrical state at that location or between segments, i.e., the electrical change index.

[0040] Based on the above technical solution, optionally, differential analysis can be performed on the feature description parameters of each adjacent electrical feature data segment to obtain electrical change indicators representing the changes in electrical state during the laying of communication cables for each adjacent electrical feature data segment, including: The characteristic description parameters of each adjacent electrical characteristic data segment are compared accordingly to obtain the comparison results; Based on the comparison results, the changes in each feature description parameter between each adjacent electrical feature data segment are calculated. The changes are then summarized to obtain electrical change indicators representing the changes in electrical state during the laying of communication cables for each adjacent electrical feature data segment.

[0041] In this scheme, the comparison results are parameter comparison information formed by comparing the same type of feature description parameters in two adjacent electrical feature data segments one by one. This information is used to characterize the direction of change, trend of change, and relative differences of each feature description parameter during adjacent sampling cycles. The comparison results reflect the correspondence between electrical states in the continuous evolution process over time.

[0042] The change amount is a quantified result obtained by calculating the numerical difference between the corresponding feature description parameters in two adjacent electrical feature data segments based on the comparison results. It is used to characterize the actual change amplitude of each feature description parameter during adjacent sampling cycles. This change amount reflects the degree of dynamic change of electrical features during the laying of communication cables in numerical form.

[0043] After generating the feature description parameters for each electrical feature data segment, time alignment is first performed on adjacent electrical feature data segments according to their sampling time sequence. This ensures that the selected two data segments correspond to the previous and next preset sampling periods, respectively. Based on time alignment, parameter-level correspondence processing is performed on the feature description parameters contained in these two adjacent electrical feature data segments. That is, mean-type parameters, fluctuation-type parameters, and rate-of-change-type parameters are aligned according to parameter type, so that the same type of feature description parameters in the two sampling periods form a one-to-one correspondence. Subsequently, the numerical expression of each pair of corresponding feature description parameters is read, and each item is compared and recorded on the same numerical scale to obtain a comparison result reflecting the difference in electrical state between the two sampling periods. This comparison result is used to characterize the direction and trend of change of each feature description parameter in adjacent time periods.

[0044] After obtaining the comparison results, for each pair of corresponding feature description parameters, a change calculation is performed based on their numerical differences. That is, while preserving the original physical meaning of the parameters, the parameter value in the later sampling period is compared with the parameter value in the previous sampling period using a difference calculation or a proportional change calculation to obtain the change in the feature description parameter representing the magnitude of change between adjacent sampling periods. This change reflects both the absolute degree of change in the parameter value and the relative drastic degree of change, thus characterizing the dynamic evolution of the electrical state during the laying process. Subsequently, multiple changes obtained from the same pair of adjacent electrical feature data segments are integrated according to a preset aggregation method. During the aggregation process, different types of changes are processed with unified dimensions or weighted integration, so that all changes together constitute a comprehensive representation result, ultimately obtaining an electrical change index used to represent the degree of change in the electrical state during the laying of communication cables.

[0045] This solution can continuously characterize the changes in electrical state between adjacent time periods during the laying of communication cables, avoid misjudgment of data at a single moment, and improve the stability and reliability of state identification.

[0046] Step S105: Match each electrical change index with the preset judgment rules to determine the laying status judgment result corresponding to each electrical change index during the laying of communication cables.

[0047] Pre-defined judgment rules are a set of judgment logic and conditions pre-established before the commencement of communication cable laying operations, based on the cable's own electrical characteristics, actual construction conditions, and safety control requirements. These rules are used to clarify the matching relationship between different electrical change indicators and corresponding laying states. The rules can match and judge the collected electrical change indicators with various laying states such as normal type, abnormal stress, insulation damage, and connection abnormalities.

[0048] The laying status determination result is a conclusion derived from the matching analysis of various electrical change indicators and the preset determination rules, and is used to characterize the real-time status during the laying of communication cables. This determination result can at least distinguish whether the communication cable is in the expected laying status or whether an abnormal laying status has occurred; when the determination result is an abnormal laying status, it can also clarify the corresponding abnormality type, thereby reflecting potential laying risks.

[0049] During the laying of communication cables, each electrical change index corresponds to the difference in electrical state between two adjacent electrical characteristic data segments. To clarify the laying status reflected by this index, the multidimensional parameters in the index are first standardized. Specifically, for different types of parameters such as instantaneous resistance change, impedance fluctuation amplitude, dominant frequency peak offset, and harmonic amplitude change, they are converted into a unified comparable numerical range according to a pre-set dimensional mapping relationship. This eliminates the interference of sampling conditions, cable specifications, and laying speed differences on the judgment results, ensuring the consistency of subsequent rule matching.

[0050] The standardized electrical change indicators are compared one by one with the preset judgment rules. These judgment rules include threshold settings, change direction, and change amplitude requirements for different electrical characteristic changes. For example, when the impedance change amplitude exceeds the set threshold and both segments show an upward trend, it is judged as an abnormal stress type according to the rule; when the main frequency peak changes abruptly and is accompanied by high-frequency noise fluctuations, it is judged as an insulation abnormal type; when the current fluctuation amplitude is irregular and has no obvious correlation with the laying speed, it is judged as a connection abnormal type. For each rule, the indicators are checked to see if they meet the trigger conditions, including whether the values ​​exceed the limits, whether the change direction is consistent, and whether the change amplitude meets the rule requirements.

[0051] During the matching process, each electrical change indicator is processed independently, meaning each indicator is compared with the rule set individually to determine its corresponding laying status type. The final laying status determination result is presented as a status type, indicating the current state of the communication cable during the laying process, divided into two categories: normal and abnormal. The abnormal type is a unified classification of various situations such as abnormal stress, insulation damage, and connection abnormalities, aiming to simplify the construction monitoring and decision-making process.

[0052] Step S106: If there is a laying status determination result of type abnormal, based on the laying status determination result, select the target adjustment strategy corresponding to the laying status determination result from the preset adjustment strategy set, adjust the preset laying control parameter set in the communication cable laying process based on the target adjustment strategy, and send the adjusted preset laying control parameter set to the electric laying equipment to enable the electric laying equipment to continue to perform communication cable laying.

[0053] Anomaly type is a unified classification and labeling system for various abnormal laying conditions during the communication cable laying process, based on electrical characteristic data analysis and matching with preset judgment rules. This type is used to reflect potential risks or deviations from expectations in cable laying, such as abnormal stress, insulation damage, and connection abnormalities, and is a classification and summary of specific abnormal situations.

[0054] The preset adjustment strategy set is a set of executable laying adjustment schemes pre-defined before the communication cable is laid. Each strategy corresponds to a specific type of anomaly. This strategy set includes specific operating methods for different anomaly types, such as adjusting the laying speed, tension control range, cable laying rhythm, and other relevant laying parameters.

[0055] The target adjustment strategy is a specific solution selected from a set of preset adjustment strategies, corresponding to the currently detected anomaly type. It guides the electric paving equipment to make targeted adjustments to the preset paving control parameter set during the paving process. The target adjustment strategy clarifies the parameters that need to be modified and the corresponding adjustment range, enabling the electric paving equipment to correct or optimize its paving behavior in a timely manner.

[0056] During the laying of communication cables, after analyzing the electrical change indicators of a cable segment and generating a laying status judgment result, the system first checks whether the status type of the judgment result belongs to the abnormal type. An abnormal type refers to all deviations from the normal laying status discovered through the analysis of electrical characteristic data and electrical change indicators, such as excessive cable stress, abnormal insulation, or loose connections. To make an accurate judgment, the system compares the status identifier in the judgment result with a predefined list of abnormal types. Once a match is found, the judgment result is marked as abnormal. This step ensures that the system accurately identifies potential risks in the current laying segment and uses them as trigger conditions for subsequent parameter adjustments.

[0057] After confirming that the judgment result is an anomaly, the system will select the corresponding target adjustment strategy from the preset adjustment strategy set based on the specific type of the judgment result. The preset adjustment strategy set is a collection of pre-defined operation plans before laying. Each strategy includes specific laying parameter adjustment methods for a specific anomaly type, such as modifying the laying speed, adjusting the tension control range, changing the laying rhythm, or optimizing other related laying parameters. When selecting a target adjustment strategy, the system uses the anomaly type of the judgment result as an index, filters out the optimal strategy that is suitable for the current anomaly situation through strategy matching rules, and extracts the specific parameters and adjustment range from the strategy to form an executable adjustment plan for the current laying state.

[0058] The system adjusts the currently used preset laying control parameter set based on the selected target adjustment strategy. In practice, the system applies the parameter increments or decrements specified by the target adjustment strategy to the corresponding laying parameters, such as increasing or decreasing the laying speed of the electric laying equipment, adjusting the upper and lower limits of tension control, and modifying the cable release rhythm or reel speed. During the adjustment process, the system comprehensively considers the current cable laying status, historical parameter change trends, and abnormal intensity to ensure that the parameter adjustments effectively correct abnormalities without introducing new risks or causing instability to continuous laying operations. After the parameter adjustments are completed, the generated new parameter set becomes the adjusted preset laying control parameter set.

[0059] The adjusted preset laying control parameters are sent to the electric laying equipment to guide its continuous communication cable laying operations. The electric laying equipment adjusts its operating behavior in real time based on the new parameters, such as changing the force applied by the reel, adjusting the tension value, or correcting the laying speed, achieving dynamic optimization of the laying process and timely correction of any abnormalities. This process continues as the laying operation progresses; after each section of cable undergoes electrical change index analysis and status determination, the system repeats the above steps.

[0060] Based on steps S101-S106 above, real-time monitoring and status assessment of the communication cable laying process can be achieved, allowing for timely detection of anomalies and targeted adjustments. By dynamically optimizing laying parameters, laying stability can be improved.

[0061] Based on the above technical solution, optionally, after sending the adjusted preset laying control parameter set to the electric laying equipment to enable the electric laying equipment to continue laying the communication cable, the method further includes: If the first preset time interval is reached, a detection electrical signal is reapplied to the communication cable being laid, and the corresponding electrical characteristic data is collected. According to the preset sampling period, the electrical feature data is re-sampled in segments to generate each electrical feature data segment; For each electrical feature data segment, statistical calculation processing is performed again on the electrical feature data within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment; Differential analysis was performed on the characteristic description parameters of each adjacent electrical characteristic data segment to obtain the electrical change index representing the change of electrical state during the laying of communication cables in each adjacent electrical characteristic data segment. The electrical change indicators are rematched with the preset judgment rules to determine the laying status judgment result corresponding to each electrical change indicator during the laying of communication cables. If there is an abnormal laying status determination result, based on the laying status determination result, a target adjustment strategy corresponding to the laying status determination result is selected from the preset adjustment strategy set. Based on the target adjustment strategy, the preset laying control parameter set in the communication cable laying process is readjusted, and the adjusted preset laying control parameter set is sent to the electric laying equipment to enable the electric laying equipment to continue to perform communication cable laying. The above process is repeated after each first preset time interval until the communication cable is laid.

[0062] In this scheme, the first preset time interval is the time interval for repeatedly executing the entire process of electrical characteristic data acquisition, segmented processing, characteristic calculation, differential analysis, laying status determination, and laying parameter adjustment.

[0063] If the first preset time interval is reached, the process of acquiring electrical characteristic data, segmenting, calculating features, performing differential analysis, and determining the laying status is repeated. If there are still laying status determination results of the abnormal type, the preset laying control parameter set is readjusted. Subsequently, after each first preset time interval, the process of acquiring electrical characteristic data, segmenting, calculating features, performing differential analysis, and determining the laying status is repeated. If there are still laying status determination results of the abnormal type, the preset laying control parameter set is readjusted until the communication cable is laid.

[0064] This solution allows for real-time monitoring of the communication cable laying status, timely detection of anomalies, and reduction of construction risks. It also enables dynamic adjustment of laying parameters, achieving intelligent optimization and improved stability during the laying process.

[0065] Based on the above technical solution, optionally, after determining the laying status judgment results corresponding to each electrical change index during the communication cable laying process, the method further includes: If the type of the laying status determination result is normal, the communication cable laying will continue to be performed using the preset laying control parameter set, and the laying status determination result will be re-determined after each first preset time interval. If an abnormal type of laying status determination result is identified, a target adjustment strategy corresponding to the laying status determination result is selected from the preset adjustment strategy set based on the laying status determination result. The preset laying control parameter set in the communication cable laying process is adjusted based on the target adjustment strategy, and the adjusted preset laying control parameter set is sent to the electric laying equipment to enable the electric laying equipment to continue to perform the communication cable laying. The above process is repeated after each first preset time interval until the communication cable is laid.

[0066] In this scheme, the normal type is the type in which all electrical change indicators are within the range allowed by the preset judgment rules, and there is no risk of abnormal stress, insulation damage, or abnormal connection.

[0067] If all electrical change indicators are within the range allowed by the preset judgment rules, the type of the laying status judgment result is determined to be normal. After the first preset time interval is reached, the process of electrical characteristic data acquisition, segmentation processing, feature calculation, differential analysis, and laying status judgment is repeated. If it is a normal type, the preset laying control parameter set is used to continue laying the communication cable. If an abnormal laying status judgment result exists after a certain process, the preset laying control parameter set adjustment step is executed. It can be understood that after each laying status judgment result is completed after the first preset time interval is reached, laying continues for normal types and the preset laying control parameter set is adjusted for abnormal types. This process is repeated until the communication cable is laid.

[0068] In this solution, when the laying status is normal, no intervention is required to maintain the continuous and stable laying of communication cables, improving construction efficiency. When the laying status is abnormal, timely adjustment strategies are triggered to quickly correct potential risks and ensure the quality and safety of cable laying.

[0069] See appendix Figure 2 , Figure 2 This is a schematic flowchart illustrating the main steps of an adaptive cable laying method based on electrical monitoring according to an embodiment of the present invention. Figure 2 As shown, an adaptive laying method for communication cables based on electrical monitoring in an embodiment of the present invention mainly includes the following steps S201-S205.

[0070] Step S201: During the process of laying communication cables using the electric laying equipment with a preset laying control parameter set, the tension data and bending angle data of the communication cable being laid are collected along the laying direction of the communication cable according to the preset sampling interval, and the stress data sequence of the communication cable is generated based on the tension data and bending angle data.

[0071] The laying direction is the actual direction in which communication cables extend from the starting laying position to the target laying position during construction, and it is usually consistent with the advancing direction of the electric laying equipment.

[0072] The preset sampling interval is the spatial distance between two adjacent data acquisition positions set in advance along the direction of the communication cable laying, which is used to constrain the acquisition frequency of tension data and bending angle data.

[0073] Tension data refers to the tensile force exerted on the cable at the corresponding sampling location during the laying of communication cables. It is used to reflect the stress state of the cable during traction, laying, and bending.

[0074] Bending angle data refers to the change in bending angle of the communication cable at the sampling location relative to the previous laying section or reference direction. It is used to characterize the degree of turning and bending state of the cable in the laying path.

[0075] The stress data sequence is a continuous data set formed by combining or calculating the tension data and bending angle data at each sampling location according to the laying direction and preset sampling interval, and arranging them in the laying sequence. It is used to reflect the stress change distribution during the laying of communication cables as a whole.

[0076] When the electric cable laying equipment performs communication cable laying operations according to a preset set of laying control parameters, it drives the cable to advance continuously along the planned path at a predetermined speed and traction force. The actual extension direction of the cable is used as the laying direction, which serves as the spatial reference for subsequent data acquisition and sorting. During the laying process, the equipment synchronously records the cumulative length or displacement information of the cable already laid, compares this displacement with the preset sampling interval in real time, and immediately triggers a data acquisition operation when the cumulative laid length reaches the sampling interval threshold. This ensures that tension data and bending angle data are acquired at fixed intervals along the discrete spatial position of the laying direction, avoiding reliance on unstable time intervals for sampling.

[0077] At each triggered sampling location, the system synchronously senses the stress state of the communication cable being laid. Specifically, during the traction or laying path, the system collects the tensile force borne by the cable in real time, using this value as the tension data corresponding to the current sampling location. Simultaneously, based on the spatial change of the cable at this location relative to the previous laying section, the system extracts the bending angle information of the cable, reflecting the degree of bending of the cable during path turns, obstacle avoidance, or lowering. To ensure spatial consistency between the tension data and the bending angle data, both types of data are bound to the same laying location identifier and sampling interval sequence record, ensuring accurate correspondence to the physical state of the same cable segment.

[0078] After completing data acquisition at a single sampling location, the system combines the tension data and bending angle data of the current sampling point. Based on the mechanical properties of the cable, it maps the tensile force and bending degree together into a stress characterization value reflecting the cable's stress level, or forms a data item containing multi-dimensional stress characteristics. Subsequently, according to the laying direction, the stress characterization data generated at each sampling location are arranged sequentially to construct a stress data sequence that gradually extends with the laying distance. This sequence maintains spatial continuity along the laying direction and completely records the stress evolution of the communication cable throughout the entire laying process.

[0079] Step S202: The stress data sequence is sequentially grouped according to the preset cable segmentation rules to obtain the stress data segments corresponding to each cable segment. Based on the tension data and bending angle data in each stress data segment, statistical calculations are performed to obtain stress characteristic parameters representing the stress state of each cable segment.

[0080] Pre-defined cable segmentation rules are cable division schemes pre-established before the laying of communication cables. They are used to divide the stress data sequence continuously collected along the laying direction into multiple independent analysis units. These segmentation rules can be set based on a fixed laying length, a fixed number of sampling points, or a specific structural location, ensuring that each segment corresponds to a clear spatial range and a uniform statistical scale.

[0081] Cable segmentation is the spatial division of the entire cable along the laying direction during the communication cable laying process, based on the preset cable segmentation rules. Each cable segment corresponds to a continuous laying section on the cable and independently represents the stress and bending state of the communication cable within that section.

[0082] The stress data segment is a data set that corresponds one-to-one with a single cable segment. It is composed of tension data and bending angle data that fall within the spatial range of the cable segment in the stress data sequence, and is integrated according to the laying sequence. It is used to reflect the stress changes of the communication cable within the cable segment during the laying process.

[0083] Stress characteristic parameters are a set of parameters obtained by performing statistical calculations on tension data and bending angle data within a certain stress data segment. They are used to comprehensively characterize the stress state level of the corresponding cable segment, and their values ​​can reflect the overall stress strength, bending degree and stress stability of the communication cable within the cable segment.

[0084] During the laying of communication cables, the stress data sequence continuously collected along the laying direction is first processed according to a preset cable segmentation rule. This rule can be based on a fixed laying length, such as defining a cable segment at certain intervals, or based on the number of sampling points, with each segment containing the same number of sampling points. It can also be combined with the location of structural nodes to set key segmentation points. Following this rule, the system sequentially selects the continuous tension data and bending angle data corresponding to each segment from the stress data sequence, combining them into independent data units to form the stress data segment corresponding to each cable segment. Each stress data segment thus retains its original sampling order, fully covering the stress change information and bending state of that segment, for subsequent statistical analysis.

[0085] After obtaining the stress data segments, statistical calculations are performed on the tension and bending angle data within each segment to quantify the stress state of each cable segment. First, statistical calculations such as mean, maximum, minimum, and standard deviation are performed on the tension data to describe the average stress level, peak stress, and stress fluctuation of the segment. Simultaneously, indicators such as average curvature, bending amplitude range, and rate of change are calculated for the bending angle data to reflect the bending state and trend of the cable in that segment. If there are significant fluctuations or local anomalies in the tension or bending angle data, extreme points and abrupt changes can be further extracted to characterize potential local stress concentrations or abnormal bending in the cable. Finally, these calculation results are integrated into a parameter set to form stress characteristic parameters representing the stress state of the cable segment; each set of parameters corresponds to a unique cable segment location.

[0086] Step S203: Obtain the stress characteristic parameters of each adjacent cable segment, perform differential calculation on the stress characteristic parameters of each adjacent cable segment, and obtain the stress change index representing the stress change of each adjacent cable segment.

[0087] Stress variation indexes are quantitative results obtained by numerically comparing the stress characteristic parameters of each pair of adjacent cable segments. They are used to characterize the stress changes of the cable during the laying process. Specifically, they cover the differences or relative percentage changes in parameters such as the average tension, peak tension, fluctuation amplitude, average bending angle, and rate of change between adjacent segments. They can reflect the increase or decrease in cable stress, the trend of change, and the local stress concentration. Each stress variation index corresponds to a specific cable segment location.

[0088] To obtain a basis for comparing the stress characteristic parameters of adjacent cable segments, each segment is first selected according to the cable laying sequence, and then the next segment immediately next to it is selected. All stress characteristic parameters of the two segments are then paired one by one, that is, the average tension value of the current segment is paired with the average tension value of the next segment, the peak value is paired with the peak value, the average bending angle is paired with the average bending angle, and so on to complete the pairing of all parameters.

[0089] Differential calculations are performed on each pair of corresponding characteristic parameters. Specifically, this includes calculating simple differences to reflect absolute changes, calculating relative percentage changes to show the proportional relationship between increases and decreases, and, when necessary, calculating the rate of change to characterize the stress change trend per unit length or unit time. For characteristic parameters such as fluctuation amplitude and standard deviation, localized uneven stress or abnormal bending can be identified by calculating the differences between adjacent segments and the relative fluctuation ratio. Each set of differential calculation results is linked to the corresponding cable segment location, ensuring that each stress change index accurately corresponds to a specific cable length.

[0090] After completing the differential calculations for all characteristic parameters, the differential results are summarized and organized according to index type to form a complete set of stress change indices. This set of stress change indices not only covers individual values ​​but can also be integrated into combined values ​​reflecting the overall stress trend of the cable, such as tension change trends, bending change trends, and local stress concentration trends. The generation of each stress change index always maintains a spatial correspondence with the positions of adjacent cable segments, facilitating the precise location of abnormal stress when subsequently determining abnormal stress and generating mechanical adjustment commands.

[0091] Step S204: Match the stress change index with the preset mechanical adjustment rules to determine the mechanical adjustment requirement data for the corresponding laying position, and generate the corresponding mechanical adjustment command based on the mechanical adjustment requirement data.

[0092] Preset mechanical adjustment rules are a set of rules pre-defined for the mechanical actions of electrically operated laying equipment during the communication cable laying process. These rules guide the equipment to perform localized mechanical adjustments at specific locations, such as adjusting the support angle of the robotic arm, the position of the cable guide device, or the direction of localized force application. This ensures the mechanical stability of the cable laying and prevents excessive localized bending. These rules are only formulated for mechanical actions and do not involve electrical state-related content, nor do they overlap with global tension control rules.

[0093] The corresponding laying location is a cable length range that is precisely matched with specific stress change indicators or mechanical abnormalities during the laying of communication cables, allowing mechanical adjustment measures to be precisely applied to the cable segment that needs adjustment.

[0094] The mechanical adjustment requirement data is the specific mechanical action parameters of the electric laying equipment calculated by combining local stress changes with preset mechanical adjustment rules, including the adjustment amount of the robotic arm angle, the offset of the guide device, or the direction of local force application.

[0095] Mechanical adjustment commands are specific operational instructions that are converted from mechanical adjustment demand data and can be directly executed by electric laying equipment. They can guide the equipment to complete local mechanical adjustments at the corresponding laying position and optimize the mechanical state of cable laying.

[0096] For each stress change indicator, the system compares its corresponding cable location with preset mechanical adjustment rules. These rules pre-define specific equipment actions to address different types of mechanical anomalies, including the range of adjustment for the robotic arm's support angle, the offset of guide rollers or pulleys, and fine-tuning of local force direction. Through this matching and identification, cable locations where stress change indicators exceed safety thresholds are marked as target locations requiring local mechanical adjustment, thus determining the corresponding laying location.

[0097] Based on the matching results, the system generates mechanical adjustment requirement data. In this stage, the system accurately calculates the required equipment action parameters according to the type and magnitude of stress anomalies at the target location. For example, if the cable experiences excessive lateral bending at the guide roller, the system calculates the guide roller's offset and angle adjustment value; if significant friction occurs between the cable and the robotic arm in a localized area, the system generates a fine-tuning adjustment to the robotic arm's support angle to alleviate stress. The mechanical adjustment requirement data, in numerical form, clearly defines the intensity and direction of the local actions the equipment needs to perform at that location. This ensures that the electric laying equipment automatically completes mechanical adjustments while continuously advancing the laying operation, without affecting the overall laying speed and tension control.

[0098] After acquiring the mechanical adjustment requirements data, the system converts them into directly executable mechanical adjustment commands. These commands contain specific action sequences and parameters, such as initiating guide roller offset at the corresponding laying position, adjusting the robotic arm angle, or adjusting the direction of localized force. After the adjustment is completed, the cable laying operation continues. During command generation, the system fully considers the motion constraints and execution safety of the equipment to ensure smooth and precise adjustment actions, preventing secondary stress on the cable and avoiding interference with the normal operation of other laying sections.

[0099] Step S205: Send the mechanical adjustment command to the electric laying equipment, so that the electric laying equipment can make adaptive mechanical adjustments according to the mechanical adjustment command, and continue to lay the communication cable after the adjustment is completed.

[0100] Once the compiled mechanical adjustment commands are sent to the electric cable laying equipment's internal motion control system via its control interface, the equipment receives the commands and analyzes the details within its operational control logic, accurately identifying the laying position and adjustment type corresponding to each command. Subsequently, the electric cable laying equipment initiates the corresponding mechanical actions based on the analysis results, such as adjusting roller tension, fine-tuning guide rails or support frame positions, thereby optimizing the local cable laying path. During these adjustments, the equipment collects real-time data from its position, angle, and tension sensors to ensure that the actual actions match the expected commands, while also performing fine-tuning compensation to guarantee a smooth and stable adjustment process without affecting continuous cable laying operations.

[0101] After completing the adaptive mechanical adjustment, the electric cable laying equipment immediately resumes its communication cable laying operation. The equipment continues to manage the overall laying speed, global tension range, and cable release rhythm according to the preset laying control parameter set. Simultaneously, it further optimizes the cable laying path and stress uniformity by considering the locally adjusted mechanical state. It should be noted that the execution of mechanical adjustment commands does not change or replace the global laying control objectives set in the preset laying control parameter set, such as laying speed, global tension control range, and cable release rhythm. These mechanical adjustment commands are essentially a supplementary means of adaptive optimization of the electric cable laying equipment's mechanical state at local laying locations. The core purpose is to improve the local stress conditions, bending degree, and guiding effect of the cable, thereby improving overall laying accuracy and cable safety.

[0102] Throughout the entire laying process, the preset laying control parameter set plays a global guiding role, ensuring the consistency and standardization of the overall laying process; while mechanical adjustment commands focus on local fine-tuning at specific locations, allowing the equipment to both control the overall laying rhythm and precisely optimize local conditions, achieving coordinated adaptation between the global and local aspects. The two are not contradictory but complementary, jointly supporting efficient and safe laying operations.

[0103] Based on steps S201-S205 above, the local mechanical state can be dynamically optimized according to the actual stress and bending conditions during communication cable laying, thereby improving laying accuracy and cable safety. This adaptive adjustment, in conjunction with the preset laying control parameter set, achieves a unified approach to global control and local optimization, ensuring overall laying efficiency and quality.

[0104] Based on the above technical solution, optionally, after completing the adjustment and continuing the communication cable laying, the method further includes: If the second preset time interval is reached, tension data and bending angle data are collected again along the laying direction of the communication cable according to the preset sampling interval. Based on the tension data and bending angle data, a stress data sequence of the communication cable is generated. The stress data sequence is regrouped according to the preset cable segmentation rules to obtain the stress data segments corresponding to each cable segment. Statistical calculations are performed based on the tension data and bending angle data in each stress data segment to obtain stress characteristic parameters representing the stress state of each cable segment. The stress characteristic parameters of adjacent cable segments are obtained, and the stress characteristic parameters of adjacent cable segments are recalculated using differential calculation to obtain a stress change index that represents the stress change of adjacent cable segments. The stress change index is matched with the preset mechanical adjustment rules to redetermine the mechanical adjustment requirement data for the corresponding laying position, and a corresponding mechanical adjustment command is generated based on the mechanical adjustment requirement data. The mechanical adjustment command is resent to the electric laying equipment, which then performs adaptive mechanical adjustment according to the command and continues laying the communication cable after the adjustment is completed. The above process is repeated after each second preset time interval until the communication cable is laid.

[0105] In this scheme, the second preset time interval is the time interval from the last completion of mechanical condition monitoring and adjustment to the next re-execution of the same monitoring and adjustment process.

[0106] Every time the second preset time interval is reached, the above mechanical adjustment process is repeated until the communication cable is laid.

[0107] In this solution, periodic re-inspection allows for real-time monitoring of changes in the mechanical condition of the cable during installation, enabling timely detection and adjustment of potential anomalies, thereby improving installation accuracy and cable safety. Continuous monitoring and dynamic adjustments also optimize equipment operating efficiency, reducing mechanical stress accumulation and construction risks.

[0108] It should be noted that although the steps in the above embodiments are described in a specific order, those skilled in the art will understand that in order to achieve the effects of the present invention, different steps do not necessarily have to be executed in such an order. They can be executed simultaneously (in parallel) or in other orders, and these variations are all within the scope of protection of the present invention.

[0109] Furthermore, the present invention also provides an adaptive laying system for communication cables based on electrical monitoring.

[0110] See appendix Figure 3 , Figure 3 This is a main structural block diagram of an adaptive cable laying system based on electrical monitoring according to an embodiment of the present invention. Figure 3 As shown, it specifically includes: The feature data acquisition module 301 is used to apply a detection electrical signal to the communication cable being laid and acquire the corresponding electrical feature data during the process of laying communication cables using a preset laying control parameter set by an electric laying equipment. The segmented sampling module 302 is used to perform segmented sampling processing on the electrical feature data according to a preset sampling period to generate each electrical feature data segment. The statistical calculation module 303 is used to perform statistical calculation processing on each electrical feature data segment within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment. The differential analysis module 304 is used to perform differential analysis on the feature description parameters of each adjacent electrical feature data segment to obtain the electrical change index of each adjacent electrical feature data segment representing the change of electrical state during the laying of communication cables. The matching module 305 is used to match each electrical change index with a preset judgment rule to determine the laying status judgment result corresponding to each electrical change index during the laying of communication cables. The adjustment module 306 is used to select a target adjustment strategy corresponding to the laying status determination result from a preset adjustment strategy set if there is an abnormal laying status determination result, adjust the preset laying control parameter set in the communication cable laying process based on the target adjustment strategy, and send the adjusted preset laying control parameter set to the electric laying equipment to enable the electric laying equipment to continue to perform communication cable laying.

[0111] The adaptive cable laying system based on electrical monitoring provided in this application embodiment can achieve... Figure 1 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0112] Those skilled in the art will understand that all or part of the processes in the method of the above embodiment of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium can include any entity or device capable of carrying the computer program code, a medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. It should be noted that the content included in the computer-readable storage medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0113] Furthermore, the present invention also provides an electronic device 400, including a processor 401, a memory 402, and a program or instructions stored in the memory 402 and executable on the processor 401. When the program or instructions are executed by the processor 401, they implement the various processes of the above-described embodiment of an adaptive laying method for communication cables based on electrical monitoring and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0114] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0115] Furthermore, the present invention also provides a computer-readable storage medium. In one embodiment of the computer-readable storage medium according to the present invention, the computer-readable storage medium can be configured to store a program for executing a communication cable adaptive laying method based on electrical monitoring according to the above-described method embodiments. This program can be loaded and run by a processor to implement the above-described communication cable adaptive laying method based on electrical monitoring. For ease of explanation, only the parts related to the embodiments of the present invention are shown; for specific technical details not disclosed, please refer to the method section of the embodiments of the present invention. The computer-readable storage medium can be a storage device comprising various electronic devices. Optionally, in the embodiments of the present invention, the computer-readable storage medium is a non-transitory computer-readable storage medium.

[0116] Furthermore, it should be understood that since the various modules are only provided to illustrate the functional units of the device of the present invention, the physical devices corresponding to these modules may be the processor itself, or a part of the software, a part of the hardware, or a combination of software and hardware within the processor. Therefore, the number of modules shown in the figures is merely illustrative.

[0117] Those skilled in the art will understand that the various modules in the device can be adaptively split or combined. Such splitting or combining of specific modules will not cause the technical solution to deviate from the principles of the present invention; therefore, the technical solutions after splitting or combining will fall within the protection scope of the present invention.

[0118] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. An adaptive laying method for communication cables based on electrical monitoring, characterized in that, The method includes: During the process of laying communication cables using a preset set of laying control parameters with electric laying equipment, a detection electrical signal is applied to the communication cable being laid, and the corresponding electrical characteristic data is collected. According to a preset sampling period, the electrical feature data is segmented and sampled to generate each electrical feature data segment; For each electrical feature data segment, statistical calculation processing is performed on the electrical feature data within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment; Differential analysis was performed on the characteristic description parameters of each adjacent electrical characteristic data segment to obtain the electrical change index representing the change of electrical state during the laying of communication cables. Match each electrical change index with the preset judgment rules to determine the laying status judgment result corresponding to each electrical change index during the laying of communication cables; If there is an abnormal laying status determination result, based on the laying status determination result, a target adjustment strategy corresponding to the laying status determination result is selected from the preset adjustment strategy set. Based on the target adjustment strategy, the preset laying control parameter set in the communication cable laying process is adjusted, and the adjusted preset laying control parameter set is sent to the electric laying equipment to enable the electric laying equipment to continue to perform communication cable laying.

2. The adaptive laying method for communication cables based on electrical monitoring according to claim 1, characterized in that, in, After sending the adjusted preset laying control parameter set to the electric laying equipment to enable the electric laying equipment to continue laying the communication cable, the method further includes: If the first preset time interval is reached, a detection electrical signal is reapplied to the communication cable being laid, and the corresponding electrical characteristic data is collected. According to the preset sampling period, the electrical feature data is re-sampled in segments to generate each electrical feature data segment; For each electrical feature data segment, statistical calculation processing is performed again on the electrical feature data within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment; Differential analysis was performed on the characteristic description parameters of each adjacent electrical characteristic data segment to obtain the electrical change index representing the change of electrical state during the laying of communication cables in each adjacent electrical characteristic data segment. The electrical change indicators are rematched with the preset judgment rules to determine the laying status judgment result corresponding to each electrical change indicator during the laying of communication cables. If there is an abnormal laying status determination result, based on the laying status determination result, a target adjustment strategy corresponding to the laying status determination result is selected from the preset adjustment strategy set. Based on the target adjustment strategy, the preset laying control parameter set in the communication cable laying process is readjusted, and the adjusted preset laying control parameter set is sent to the electric laying equipment to enable the electric laying equipment to continue to perform communication cable laying. The above process is repeated after each first preset time interval until the communication cable is laid.

3. The adaptive laying method for communication cables based on electrical monitoring according to claim 1, characterized in that, in, After determining the laying status judgment results corresponding to each electrical change index during the communication cable laying process, the method further includes: If the type of the laying status determination result is normal, the communication cable laying will continue to be performed using the preset laying control parameter set, and the laying status determination result will be re-determined after each first preset time interval. If an abnormal type of laying status determination result is identified, a target adjustment strategy corresponding to the laying status determination result is selected from the preset adjustment strategy set based on the laying status determination result. The preset laying control parameter set in the communication cable laying process is adjusted based on the target adjustment strategy, and the adjusted preset laying control parameter set is sent to the electric laying equipment to enable the electric laying equipment to continue to perform the communication cable laying. The above process is repeated after each first preset time interval until the communication cable is laid.

4. The adaptive laying method for communication cables based on electrical monitoring according to claim 1, characterized in that, in, Within the corresponding preset sampling period, statistical calculations are performed on the electrical feature data to obtain feature description parameters representing the electrical state of the electrical feature data segment, including: Within the corresponding preset sampling period, read the electrical feature data from the corresponding electrical feature data segment. Within the preset sampling period, numerical statistical processing is performed on the electrical characteristic data to obtain a first statistical result; Within the preset sampling period, change statistical processing is performed on the electrical characteristic data in the electrical characteristic data segment to obtain a second statistical result; Based on the first statistical result and the second statistical result, feature description parameters representing the electrical state of the electrical feature data segment are generated.

5. The adaptive laying method for communication cables based on electrical monitoring according to claim 1, characterized in that, in, Differential analysis was performed on the characteristic description parameters of each adjacent electrical characteristic data segment to obtain electrical change indicators representing changes in the electrical state during the laying of communication cables, including: The characteristic description parameters of each adjacent electrical characteristic data segment are compared accordingly to obtain the comparison results; Based on the comparison results, the changes in each feature description parameter between each adjacent electrical feature data segment are calculated. The changes are then summarized to obtain electrical change indicators representing the changes in electrical state during the laying of communication cables for each adjacent electrical feature data segment.

6. The adaptive laying method for communication cables based on electrical monitoring according to claim 1, characterized in that, in, After the electric laying equipment uses a preset laying control parameter set to lay communication cables, the method further includes: Along the laying direction of the communication cable, the tension data and bending angle data of the communication cable being laid are collected at a preset sampling interval, and the stress data sequence of the communication cable is generated based on the tension data and bending angle data; The stress data sequence is sequentially grouped according to the preset cable segmentation rules to obtain the stress data segments corresponding to each cable segment. Based on the tension data and bending angle data in each stress data segment, statistical calculations are performed to obtain stress characteristic parameters representing the stress state of each cable segment. The stress characteristic parameters of each adjacent cable segment are obtained, and the stress characteristic parameters of each adjacent cable segment are processed by differential calculation to obtain the stress change index representing the stress change of each adjacent cable segment. The stress change index is matched with the preset mechanical adjustment rules to determine the mechanical adjustment requirement data for the corresponding laying position, and the corresponding mechanical adjustment command is generated based on the mechanical adjustment requirement data. The mechanical adjustment command is sent to the electric laying equipment, which then performs adaptive mechanical adjustments based on the command and continues laying the communication cable after the adjustment is completed.

7. The adaptive laying method for communication cables based on electrical monitoring according to claim 6, characterized in that, in, After completing the adjustments and continuing with the laying of communication cables, the method further includes: If the second preset time interval is reached, tension data and bending angle data are collected again along the laying direction of the communication cable according to the preset sampling interval. Based on the tension data and bending angle data, a stress data sequence of the communication cable is generated. The stress data sequence is regrouped according to the preset cable segmentation rules to obtain the stress data segments corresponding to each cable segment. Statistical calculations are performed based on the tension data and bending angle data in each stress data segment to obtain stress characteristic parameters representing the stress state of each cable segment. The stress characteristic parameters of adjacent cable segments are obtained, and the stress characteristic parameters of adjacent cable segments are recalculated using differential calculation to obtain a stress change index that represents the stress change of adjacent cable segments. The stress change index is matched with the preset mechanical adjustment rules to redetermine the mechanical adjustment requirement data for the corresponding laying position, and a corresponding mechanical adjustment command is generated based on the mechanical adjustment requirement data. The mechanical adjustment command is resent to the electric laying equipment, which then performs adaptive mechanical adjustment according to the command and continues laying the communication cable after the adjustment is completed. The above process is repeated after each second preset time interval until the communication cable is laid.

8. An adaptive cable laying system based on electrical monitoring, characterized in that, The system includes: The feature data acquisition module is used to apply detection electrical signals to the communication cable being laid and acquire the corresponding electrical feature data during the process of laying communication cables using a preset laying control parameter set by an electric laying equipment. The segmented sampling module is used to perform segmented sampling processing on the electrical feature data according to a preset sampling period to generate each electrical feature data segment. The statistical calculation module is used to perform statistical calculation processing on each electrical feature data segment within the corresponding preset sampling period to obtain feature description parameters representing the electrical state of the electrical feature data segment. The differential analysis module is used to perform differential analysis on the characteristic description parameters of each adjacent electrical characteristic data segment to obtain the electrical change index representing the change of electrical state during the laying of communication cables. The matching module is used to match each electrical change index with preset judgment rules to determine the laying status judgment result corresponding to each electrical change index during the laying of communication cables. The adjustment module is used to select a target adjustment strategy corresponding to the laying status determination result from a preset adjustment strategy set if there is an abnormal type of laying status determination result. Based on the laying status determination result, the module adjusts the preset laying control parameter set in the communication cable laying process according to the target adjustment strategy, and sends the adjusted preset laying control parameter set to the electric laying equipment to enable the electric laying equipment to continue to perform the communication cable laying.

9. An electronic device comprising a processor, a memory, and a program or instructions stored in the memory and executable on the processor, characterized in that, The program or instructions are adapted to be loaded and run by the processor to perform an adaptive cable laying method based on electrical monitoring, as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a plurality of program codes, characterized in that, The program code is adapted to be loaded and run by a processor to perform an adaptive laying method for communication cables based on electrical monitoring, as described in any one of claims 1 to 7.

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