Cable laying aided design optimization method and system

Abstract

The invention relates to an aided design optimization method and system for cable laying, and relates to the technical field of cable design optimization, and the method comprises the steps: collecting a historical maximum wind speed as a regional wind power feature based on an environment monitoring log of an optical cable overhead region; collecting an erection height mean value, a power pole spacing, a power pole vertical height difference and a power pole type as overhead scene features; on the basis of the scheme fitness evaluation function and a preset number of optical cable hooks, optimizing an optical cable hook layout scheme by taking the maximum coverage distance as a constraint and combining optical cable attribute features, regional wind power features and overhead scene features, and outputting an optimal scheme; and carrying out construction according to the optimal scheme in the optical cable overhead area. The problems that in traditional cable laying, an optical cable hook laying scheme lacks comprehensive consideration of overhead actual environment characteristics and scene characteristics, so that wind power distribution is uneven, the optical cable swing amplitude is large, stability is insufficient, scheme optimization pertinence is poor, and efficiency is low are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of cable design optimization, in particular to a cable laying auxiliary design optimization method and system. BACKGROUND

[0002] With the continuous advancement of communication network construction, the stability of overhead optical cable laying is crucial to communication transmission quality, and environmental factors such as wind have increasingly highlighted the impact on optical cable safety. Optimizing the hook layout scheme has become a key technical problem to ensure the reliability of overhead optical cables. At present, the traditional optical cable hook layout method relies mainly on experience, and does not fully combine the actual overhead environmental characteristics and overhead scene characteristics, making it difficult to adapt to complex and variable overhead conditions.

[0003] The existing hook layout method lacks comprehensive consideration of actual environmental and scene characteristics, resulting in insufficient pertinence of the scheme, which not only makes it difficult to maximize wind distribution uniformity and minimize optical cable swing amplitude, but also causes redundant design or insufficient support, affecting the stability of optical cable laying and increasing the complexity and cost of later maintenance. SUMMARY

[0004] To solve the above technical problems, the present application provides a cable laying auxiliary design optimization method and system, which improves the deficiencies of uneven wind distribution, large optical cable swing amplitude, poor laying stability and low optimization efficiency caused by insufficient combination of actual overhead environmental characteristics and overhead scene characteristics in traditional cable laying.

[0005] The embodiments of the present application disclose the following technical solutions: In a first aspect, the embodiments of the present application provide a cable laying auxiliary design optimization method, which comprises: Based on the environmental monitoring log of the overhead optical cable area, the maximum wind speed in the historical time range is collected as the regional wind force characteristic; The average erection height, power pole spacing, power pole vertical height difference and power pole type during the overhead process of the optical cable are collected as the overhead scene characteristics; Based on the scheme fitness evaluation function and the preset number of optical cable hooks, the maximum coverage distance of the optical cable hook is taken as the constraint, and the optical cable hook layout scheme is optimized according to the optical cable attribute characteristics and the regional wind force characteristics and the overhead scene characteristics, and the optimal hook layout scheme is output; In the overhead optical cable area, the optical cable hook construction is carried out according to the optimal hook layout scheme.

[0006] In a second aspect, the embodiments of the present application provide a cable laying auxiliary design optimization system, which comprises: a wind force feature collection module, configured to collect a maximum wind speed in a historical time range as a regional wind force feature based on an environmental monitoring log of the optical cable overhead area; an overhead scene collection module, configured to collect an average erection height, a power pole spacing, a power pole vertical height difference, and a power pole type in an optical cable overhead process as overhead scene features; a hook scheme optimization module, configured to perform optical cable hook arrangement scheme optimization based on a scheme fitness evaluation function and a preset optical cable hook quantity, with a maximum optical cable hook coverage distance as a constraint, according to optical cable attribute features, the regional wind force features, and the overhead scene features, and output an optimal hook arrangement scheme; an optimal scheme implementation module, configured to perform optical cable hook construction according to the optimal hook arrangement scheme in the optical cable overhead area.

[0007] One or more technical solutions provided in the present application have at least the following technical effects or advantages: The present application provides a cable laying auxiliary design optimization method and system. The technical solution realizes scientific optimization of cable laying auxiliary design by dynamically configuring a high wind speed frequency dynamic configuration index weight ratio, constructing a scheme fitness evaluation function, simulating an optical cable overhead simulation space by using digital twin technology, generating multiple hook arrangement sequences and performing simulation testing, and outputting an optimal hook arrangement scheme based on scheme fitness optimization. First, a high wind speed frequency is counted according to an environmental monitoring log, a swing amplitude weight adjustment coefficient is matched, an initial weight is corrected to obtain an adaptive index weight ratio. Then, a scheme fitness evaluation function is constructed in combination with wind force distribution uniformity and optical cable swing amplitude. Next, optical cable attributes, regional wind force, and overhead scene features are integrated, and an optical cable overhead simulation space is constructed by using digital twin technology. Then, multiple hook arrangement sequences are generated, and prediction data is obtained by testing in the simulation space. The fitness is calculated by substituting the prediction data into the scheme fitness evaluation function. Finally, an optimal hook arrangement scheme is output by clustering iteration and optimization, and is used for actual optical cable hook construction.

[0008] The technical solution of the present application solves the problems of uneven wind force distribution, large optical cable swing amplitude, poor laying stability, and low optimization efficiency caused by insufficient scheme pertinence in traditional cable laying by fusing multiple steps such as dynamic weight adjustment driven by high wind speed frequency, virtual simulation testing supported by digital twin, fitness evaluation integrated with multiple dimensions, and scheme optimization based on iterative optimization, and realizes precise matching of optical cable hook arrangement scheme and wind speed environment, thereby providing technical support for improving cable laying wind resistance safety. BRIEF DESCRIPTION OF DRAWINGS

[0009] In order to make the technical solutions in the embodiments of the present application clearer, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0010] Figure 1 A flowchart of a cable laying auxiliary design optimization method provided by an embodiment of the present application is shown in the figure. Figure 2 A structure diagram of a cable laying auxiliary design optimization system provided by an embodiment of the present application is shown in the figure.

[0011] In the drawings, the components represented by the numbers are described as follows. The wind force feature collection module 01, the overhead scene collection module 02, the hook scheme optimization module 03, and the optimal scheme implementation module 04. DETAILED DESCRIPTION

[0012] The present application provides a cable laying auxiliary design optimization method and system, which is used to solve the technical problem that the existing optical cable hook laying scheme does not fully combine the regional wind force features, overhead scene features and optical cable attribute features, is difficult to adapt to complex environments, and leads to uneven wind force distribution, large optical cable swing amplitude, poor laying stability and low optimization efficiency.

[0013] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort belong to the scope of protection of the present application.

[0014] In the description of the present application, the terms "first" and "second" are used only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0015] In the description of this application, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any person skilled in the art to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art will recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in this application.

[0016] Example 1, as shown in the attached Figure 1 As shown, the present application provides an auxiliary design optimization method for cable laying, the method comprising the following steps: S110: Based on the environmental monitoring log of the optical cable overhead area, the maximum wind speed within the historical time range is collected as the regional wind force characteristics; In the embodiment of the present application, in order to accurately obtain the regional wind characteristics to support the subsequent optimization of the optical cable hook layout plan, it is necessary to extract key wind data from the environmental monitoring log and collect the maximum wind speed within the historical time range to reflect the extreme intensity of the wind in the area, providing a core basis for evaluating the stability of the optical cable in a strong wind environment.

[0017] Specifically, we first need to clarify the historical time range of data collection, which covers different seasons and different climate stages, to ensure that the collected wind data can fully reflect the long-term wind change characteristics of the region.

[0018] The wind data source is environmental monitoring logs from the past three years. These logs are screened to extract wind monitoring records directly related to the area where the fiber optic cables are overhead, while excluding interfering data from unrelated areas.

[0019] In addition, when extracting wind data from environmental monitoring logs, attention should also be paid to the sampling frequency and accuracy of the environmental monitoring equipment to ensure the reliability of the original data.

[0020] For example, the environmental monitoring equipment records the wind speed value every 10 minutes with an accuracy of 0.1m / s. During the wind data collection process, the wind speed records of the area need to be checked one by one to avoid abnormal values ​​caused by equipment failure or data transmission errors.

[0021] Wherein, for the case of abnormal value, data cleaning method is needed to process. For example, when a certain wind speed record deviates from the data of the surrounding monitoring points in the same period, it is determined as an abnormal value and is excluded to ensure the accuracy of the maximum wind speed extraction.

[0022] Finally, the historical maximum wind speed collected from the environmental monitoring log through the above steps will be used as the core parameter of the regional wind force feature, combined with the subsequent overhead scene features and optical cable attribute features, to provide key environmental constraints for the optimization of the optical cable hanging layout scheme.

[0023] S120: Collect the average erection height, power pole spacing, power pole vertical height difference, and power pole type during the optical cable overhead process as overhead scene features; In the embodiments of the present application, in order to comprehensively capture the physical characteristics of the optical cable overhead scene, the average erection height, power pole spacing, power pole vertical height difference, and power pole type, which directly affect the stress distribution, support stability, and swinging state of the optical cable under the action of wind force, need to be systematically collected.

[0024] Specifically, first, the average erection height is collected. The average erection height refers to the average value of the overall erection height of the optical cable in the overhead area, which is calculated by measuring the optical cable height of multiple monitoring points in the overhead area.

[0025] Wherein, the selection of monitoring points should cover the entire overhead area and be uniformly distributed on the optical cable section between power poles. For example, 3 monitoring points are selected between every two adjacent power poles, and the measuring tool uses a high-precision laser range finder with an accuracy of within ±0.05 meters. The height values of all monitoring points are summed and divided by the number of monitoring points to obtain the average erection height.

[0026] Secondly, the power pole spacing is collected. The power pole spacing refers to the horizontal distance between two adjacent power poles, which is a key parameter that determines the span length of the optical cable.

[0027] Specifically, when collecting the power pole spacing, the center position of the power pole is taken as the measurement reference, and the distance between each adjacent two power poles is measured using a total station instrument, and the measurement results are recorded and accurately to 0.1 meters. For areas with terrain undulations, ensure that the measured distance is the horizontal projection distance, not the slope distance along the ground.

[0028] Illustratively, for three adjacent power poles in a certain overhead section, the horizontal distance between No. 1 and No. 2 poles is 50.3 meters, and the horizontal distance between No. 2 and No. 3 poles is 49.8 meters. Therefore, the power pole spacing data of this region is 50.3 meters and 49.8 meters.

[0029] Then, the vertical height difference of the power pole is collected. The vertical height difference of the power pole refers to the vertical height difference between the top ends of two adjacent power poles, reflecting the slope characteristics of the optical cable erection.

[0030] Specifically, when collecting the vertical height difference of the power pole, the actual height of each power pole (the vertical distance from the ground to the top of the pole) is first measured, and then the difference (taking the absolute value) between the heights of two adjacent power poles is calculated.

[0031] In the measurement of the height of the power pole, a UAV carrying a laser radar can be used for scanning, and ground marker points can be used for calibration to ensure that the height measurement accuracy is within ±0.1 meters.

[0032] Finally, the type of the power pole is collected. The type of the power pole is divided according to its material, load-bearing grade and structure form. Common types of power poles include concrete poles, steel poles, wooden poles, etc. Different types of power poles have significant differences in load-bearing capacity, wind resistance stability and service life.

[0033] Specifically, when collecting the type of the power pole, the type identification of each power pole (such as the production nameplate on the pole body) is recorded through on-site investigation. For power poles without clear identification, the appearance features (such as material texture, structure form) can be combined with historical construction archives to determine and record the type of the power pole as "concrete pole", "steel pole", "wooden pole", etc.

[0034] In addition, during the collection process, all collected data need to be reviewed and verified, for example, by comparing the distance between adjacent power poles with the marked value in the design drawing, if the deviation exceeds ±0.5 meters, the measurement needs to be re-measured; the determination of the type of the power pole needs to be confirmed by two or more technical personnel to ensure the accuracy of the measurement data.

[0035] Finally, the collected average erection height, power pole spacing, vertical height difference of the power pole and type of the power pole will jointly constitute the overhead scene feature data, which will work together with the regional wind force characteristics and the optical cable attribute characteristics to provide accurate scene parameter support for subsequent construction of optical cable overhead simulation space, simulation and optimization of hook layout scheme.

[0036] S130: Based on the scheme fitness evaluation function and the preset number of optical cable hooks, with the maximum coverage distance of the optical cable hook as the constraint, the optical cable hook layout scheme is optimized according to the optical cable attribute characteristics and the regional wind force characteristics and the overhead scene characteristics, and the optimal hook layout scheme is output. In the embodiments of the present application, in the optical cable overhead laying scene, in order to realize the precise optimization of the hook layout scheme, the scheme fitness evaluation function, the preset parameters and the multi-dimensional characteristics need to be comprehensively utilized to determine the optimal scheme through simulation and optimization steps to ensure the stability of the optical cable under the action of wind force.

[0037] Specifically, first, an optimization evaluation index is configured, which is used as the basis of the construction scheme fitness evaluation function. The optimization evaluation index includes wind distribution uniformity and optical cable swing amplitude to quantify the influence of different hook arrangement schemes on the stability of the optical cable.

[0038] Further, according to the index weight proportion, the wind distribution uniformity and the optical cable swing amplitude are included in the calculation to construct the scheme fitness evaluation function.

[0039] The index weight proportion is configured based on the environmental monitoring log of the optical cable overhead area, the number of times that the wind speed is greater than the preset wind speed threshold in the historical time range is counted, and then the swing amplitude weight adjustment coefficient is obtained according to the high wind speed frequency matching to correct the initial swing amplitude weight to obtain the adaptive swing amplitude weight, and the adaptive swing amplitude weight is subtracted by 1 to obtain the adaptive distribution uniformity weight. The combination of the two generates.

[0040] In addition, the scheme fitness and the wind distribution uniformity are positively correlated, that is, the more uniform the wind distribution on the optical cable, the higher the scheme fitness; and the optical cable swing amplitude is negatively correlated, that is, the smaller the optical cable swing amplitude, the higher the scheme fitness.

[0041] Further, the attribute characteristics of the optical cable to be laid are collected, including the optical cable type and the optical cable specification, which directly affect the mechanical properties and wind resistance characteristics of the optical cable and are the basic data for simulating and constructing the optical cable overhead simulation space.

[0042] Further, by using digital twin technology, the optical cable attribute characteristics, regional wind characteristics and overhead scene characteristics are input into the simulation model to construct an optical cable overhead simulation space consistent with the actual scene, providing a simulated virtual test environment for hook arrangement scheme verification.

[0043] On this basis, based on the preset number of optical cable hooks, a plurality of different optical cable hook arrangement sequences are generated with the maximum coverage distance of the optical cable hook as a constraint.

[0044] Subsequently, in the optical cable overhead simulation space, the optical cable simulation motion test is performed on each optical cable hook arrangement sequence to simulate the dynamic state of the optical cable under the action of strong wind, and the predicted wind distribution uniformity and the predicted maximum swing amplitude of the optical cable corresponding to each hook arrangement scheme are output.

[0045] At the same time, based on the scheme fitness evaluation function, the predicted data output above is substituted into the calculation to obtain the scheme fitness of each optical cable hook arrangement sequence.

[0046] Further, based on the multiple scheme fitnesses, optimization is performed, and the optimal hook arrangement scheme with the highest fitness is finally output through sorting, clustering and optimization-avoiding-weakness iteration optimization.

[0047] This step realizes the precise optimization of the hook layout scheme under the condition of taking the maximum coverage distance of the optical cable hook as the constraint through the combination of digital twin simulation and multi-round iteration optimization, and provides a strong guarantee for the stability of the overhead laying of the optical cable.

[0048] The step S130 in the method provided in the embodiments of the present application comprises: An optimization evaluation index is configured, wherein the optimization evaluation index comprises wind distribution uniformity and optical cable swing amplitude; According to the index weight proportion, a scheme fitness evaluation function is constructed according to the wind distribution uniformity and the optical cable swing amplitude, wherein the scheme fitness is positively correlated with the wind distribution uniformity and negatively correlated with the optical cable swing amplitude.

[0049] The type and specification of the optical cable to be laid are collected as the optical cable attribute features; Using digital twin technology, an optical cable overhead simulation space is simulated and constructed according to the optical cable attribute features, regional wind features and overhead scene features; Taking the maximum coverage distance of the optical cable hook as the constraint, the optical cable hook is randomly distributed based on the preset number of optical cable hooks, and a plurality of optical cable hook layout sequences are generated; In the optical cable overhead simulation space, the optical cable is simulated to move according to the plurality of optical cable hook layout sequences, and a plurality of predicted wind distribution uniformities and a plurality of predicted maximum optical cable swing amplitudes are output; Based on the scheme fitness evaluation function, a plurality of scheme fitnesses are evaluated according to the plurality of predicted wind distribution uniformities and the plurality of predicted maximum optical cable swing amplitudes; Based on the plurality of scheme fitnesses, the optical cable hook layout scheme is optimized, and an optimal hook layout scheme is output.

[0050] In the embodiments of the present application, in order to realize scientific optimization and precise adaptation of the optical cable hook layout scheme, it is necessary to focus on the stability requirements of the optical cable under the action of wind, to build quantitative evaluation indexes, to integrate multi-dimensional features, and to rely on digital twin simulation and iterative optimization, so as to realize the precise adaptation of the hook layout scheme to the wind environment.

[0051] Firstly, the basic framework of scheme evaluation is built by configuring the optimization evaluation index.

[0052] The optimization evaluation index comprises wind distribution uniformity and optical cable swing amplitude. The wind distribution uniformity is used to reflect the balance degree of wind load of each section of the optical cable, and the optical cable swing amplitude is used to reflect the dynamic displacement extreme value of the optical cable under strong wind.

[0053] Specifically, the wind force distribution uniformity can be quantified by the ratio of the maximum difference of wind loads of different sections of the optical cable to the average value, and the calculation formula can be expressed as "wind force distribution uniformity = 1 - maximum difference of wind loads / average value of wind loads"; the swing amplitude of the optical cable can be measured by the maximum swing of the characteristic points such as the midspan and the hook connection. The two types of indicators together constitute a comprehensive evaluation dimension of the wind resistance performance of the hook arrangement scheme.

[0054] For example, an overhead section of an optical cable is divided into 10 monitoring sections, and the wind load of each monitoring section is 2.1 N / m, 2.3 N / m, 2.2 N / m,..., respectively. After calculation, the average value of the wind load is 2.2 N / m, and the maximum difference is 0.3 N / m. Therefore, the wind force distribution uniformity index is 1-0.3 / 2.2≈0.86, indicating that the wind force distribution is relatively uniform.

[0055] At the same time, the maximum swing amplitude of the midspan of the overhead section of the optical cable is 0.8 meters, and the maximum swing amplitude of the hook connection is 0.3 meters, which comprehensively reflects that the swing of the optical cable under the hook arrangement scheme is relatively smooth.

[0056] Further, the scheme fitness evaluation function is constructed according to the dynamically adjusted index weight proportion.

[0057] In the method provided in the embodiments of the present application, the configuration process of the index weight proportion includes: Based on the environmental monitoring log of the overhead area of the optical cable, the number of times that the wind speed is greater than a preset wind speed threshold in a historical time range is counted, and is set as a high wind speed frequency; According to the high wind speed frequency matching, a swing amplitude weight adjustment coefficient is obtained to correct an initial swing amplitude weight, and an adaptive swing amplitude weight is obtained, wherein the initial swing amplitude weight is 0.5, and the adaptive swing amplitude weight is not more than 0.8; An adaptive distribution uniformity weight is obtained by subtracting the adaptive swing amplitude weight from 1, and the index weight proportion is generated in combination with the adaptive swing amplitude weight.

[0058] In the embodiments of the present application, in order to accurately adapt the wind resistance demand of the optical cable under different wind speed environments and realize scientific evaluation of the wind resistance performance of the hook arrangement scheme, the swing amplitude weight needs to be dynamically adjusted according to the high wind speed frequency of the overhead area of the optical cable, and then a reasonable index weight proportion is constructed.

[0059] Specifically, first, based on the environmental monitoring log of the overhead area of the optical cable, the number of times that the wind speed is greater than a preset wind speed threshold in a historical time range is counted, and a high wind speed frequency is obtained.

[0060] The preset wind speed threshold can be determined according to the climate characteristics of the region where the optical cable is located, the wind resistance design parameters of the optical cable itself, and the like. For example, 8 m / s can be taken as the preset wind speed threshold in a general region, which is used to identify high wind speed conditions that have a significant impact on the swing of the optical cable.

[0061] Further, by traversing the wind speed data recorded in the environmental monitoring log, the number of times that satisfy "wind speed > preset wind speed threshold" is counted, so as to quantify the frequency of high wind speed in this region, thereby providing a basis for subsequent weight adjustment.

[0062] Further, the swing amplitude weight adjustment coefficient is obtained according to the obtained high wind speed frequency, and the initial swing amplitude weight is corrected to obtain an adaptive swing amplitude weight.

[0063] The swing amplitude weight adjustment coefficient is obtained by dividing the high wind speed frequency interval, and establishing a mapping relationship between the high wind speed frequency interval and the coefficient.

[0064] Specifically, based on the historical environmental monitoring log of the optical cable overhead region, combined with the actual cases of swing damage caused by wind force in the optical cable operation and maintenance process, the high wind speed frequency (unit: times / year, statistical period: 1 year) is divided into multiple intervals, and the thresholds of these intervals can be dynamically adjusted according to the regional climate characteristics.

[0065] On this basis, a corresponding swing amplitude weight adjustment coefficient is matched for each high wind speed frequency interval. The value of the swing amplitude weight adjustment coefficient is determined according to the correlation analysis of the high wind speed frequency of the optical cable overhead region and the swing damage risk of the optical cable, and the value range is usually between 0.5-1.2.

[0066] Specifically, for the interval of 0≤high wind speed frequency<10 times / year, since the high wind speed risk is extremely low, the corresponding swing amplitude weight adjustment coefficient is 0.5, so as to reduce the proportion of the swing amplitude weight in the evaluation; and for the interval of high wind speed frequency≥50 times / year, since the high wind speed is extremely frequent, the swing directly threatens the safe operation of the optical cable, and the corresponding swing amplitude weight adjustment coefficient is 1.2, so as to maximize the influence of the swing amplitude in the scheme evaluation.

[0067] Finally, through the division of the high wind speed frequency interval and the mapping of the swing amplitude weight adjustment coefficient in the above steps, the swing amplitude weight adjustment coefficient can accurately correlate the high wind speed frequency and the swing risk of the optical cable, thereby providing a reliable basis for the reasonable configuration of the subsequent index weight proportion.

[0068] Further, the initial swing amplitude weight is corrected based on the obtained swing amplitude weight adjustment coefficient to obtain an adaptive swing amplitude weight.

[0069] Specifically, the correction process of the initial swing amplitude weight needs to follow the principle of "the product of the initial swing amplitude weight and the adjustment coefficient as the basis, and the threshold constraint as the boundary". First, the initial correction result is obtained by the calculation formula "the initial value of the adaptive swing amplitude weight = the initial swing amplitude weight x the swing amplitude weight adjustment coefficient", and then the threshold check is performed on the result to finally determine the adaptive swing amplitude weight.

[0070] wherein the initial swing amplitude weight is fixed at 0.5, which is a basic value set based on the balanced consideration of the initial importance of the two types of indexes of wind distribution uniformity and optical cable swing amplitude.

[0071] In addition, the core of the threshold check is to ensure that the adaptive swing amplitude weight does not exceed 0.8, so as to avoid the single index from having too high a proportion in the scheme fitness evaluation, leading to insufficient consideration of other key factors such as wind distribution uniformity, thereby ensuring the accuracy of the evaluation.

[0072] For example, if the high wind speed frequency of a certain optical cable overhead area is 45 times / year, which belongs to the interval "30≤frequency<50 times / year", and the matching swing amplitude weight adjustment coefficient is 0.9, then the initial value of the adaptive swing amplitude weight = 0.5x0.9=0.45, which is less than 0.8, and after the threshold check, it is directly determined as the adaptive swing amplitude weight.

[0073] In addition, if the high wind speed frequency of another area is 60 times / year, which belongs to the interval "frequency≥50 times / year", and the swing amplitude weight adjustment coefficient is 1.2, then the initial value of the adaptive swing amplitude weight = 0.5x1.2=0.6, which also meets the threshold requirement and is directly used as the final adaptive swing amplitude weight.

[0074] On the contrary, if the swing amplitude weight adjustment coefficient of a certain extremely high wind speed area is 1.7 (although such cases are rare in actual application, but to illustrate the threshold effect), then the initial value = 0.5x1.7=0.85, at this time the threshold constraint needs to be triggered, and the adaptive swing amplitude weight is forcibly set to 0.8 to maintain the rationality of the index weight proportion.

[0075] Further, after obtaining the adaptive swing amplitude weight, the swing amplitude weight is subtracted from 1 to obtain the adaptive distribution uniformity weight, and the index weight proportion is generated in combination with the adaptive swing amplitude weight.

[0076] Specifically, the calculation of the adaptive distribution uniformity weight follows the principle of "the sum of the weights being 1", and is derived by the formula "the adaptive distribution uniformity weight = 1-adaptive swing amplitude weight". This calculation logic ensures that the weight proportions of the two types of indexes of wind distribution uniformity and optical cable swing amplitude form a dynamic balance.

[0077] When the adaptive swing amplitude weight increases with the increase of high wind speed frequency, the adaptive distribution uniformity weight decreases correspondingly, and vice versa, so that the index weight proportion can always fit the core risk points under different wind speed environments.

[0078] Meanwhile, the value range of the adaptive distribution uniformity weight corresponds to the adaptive swing amplitude weight. Since the adaptive swing amplitude weight does not exceed 0.8, the adaptive distribution uniformity weight is not less than 0.2. This range setting not only ensures the dominance of the swing amplitude index in the high wind speed extreme frequency area, but also ensures that the wind force distribution uniformity index can still play an important role in the low wind speed area, so as to avoid that a certain type of index is completely ignored.

[0079] For example, if the adaptive swing amplitude weight of a certain optical cable overhead area is 0.45 after correction, the adaptive distribution uniformity weight can be calculated by the formula to be 0.55, and the index weight proportion is the combination of the swing amplitude weight 0.45 and the distribution uniformity weight 0.55. This is suitable for the transition area from high wind speed occasional to frequent, and takes into account the constraint on swing risk and the consideration of stress uniformity.

[0080] In addition, if the adaptive swing amplitude weight of another area is 0.6, the adaptive distribution uniformity weight is 0.4, and the index weight proportion is dominated by the swing amplitude weight, which focuses more on suppressing the swing threat caused by high wind speed frequency. In addition, when the adaptive swing amplitude weight is 0.8, the adaptive distribution uniformity weight is 0.2, and the index weight proportion highlights the core position of the swing amplitude, which is suitable for scheme evaluation in extremely high wind speed environment.

[0081] Finally, the index weight proportion generated through the above steps will be applied to the construction of the scheme fitness evaluation function, so that the function can dynamically adjust the consideration weight of wind force distribution uniformity and optical cable swing amplitude according to the risk characteristics of different wind speed environments, thereby providing accurate and reasonable quantitative basis for the wind resistance performance evaluation of the hook layout scheme.

[0082] Further, according to the obtained index weight proportion, a scheme fitness evaluation function is constructed according to the wind force distribution uniformity and the optical cable swing amplitude. The scheme fitness is positively correlated with the wind force distribution uniformity and negatively correlated with the optical cable swing amplitude.

[0083] Specifically, the wind force distribution uniformity and the optical cable swing amplitude are integrated into a single evaluation index through weighted calculation, and the scheme fitness evaluation function expression is "scheme fitness = adaptive distribution uniformity weight x wind force distribution uniformity - adaptive swing amplitude weight x optical cable swing amplitude".

[0084] Wherein, the value range of wind force distribution uniformity is 0-1, and the closer to 1, the more uniform the wind force distribution; the value of the cable swing amplitude needs to be normalized, such as taking the maximum swing amplitude allowed by the type of cable as the benchmark, converting the actual swing amplitude to a value of 0-1, and the closer to 0, the more subtle the swing.

[0085] Finally, the scheme fitness evaluation function reflects the evaluation logic of "the more uniform the wind force distribution and the smaller the swing amplitude, the higher the scheme fitness", and through the dynamically adjusted weight ratio, the function can accurately adapt to the core needs of different wind speed environments.

[0086] Specifically, in the high wind speed area, the swing amplitude weight is higher, and the negative impact of the swing amplitude on the scheme fitness is more significant; in the low wind speed area, the distribution uniformity weight is higher, and the positive contribution of the wind force distribution uniformity is more prominent.

[0087] For example, the adaptive distribution uniformity weight of a certain area is 0.55, and the adaptive swing amplitude weight is 0.45, if the wind force distribution uniformity of a certain hook arrangement scheme is 0.82, and the normalized cable swing amplitude is 0.35, then the scheme fitness = 0.55 x 0.82 - 0.45 x 0.35 = 0.2935.

[0088] In addition, the wind force distribution uniformity of another scheme is 0.75, and the swing amplitude is 0.2, then the scheme fitness = 0.55 x 0.75 - 0.45 x 0.2 = 0.3225, which shows that the scheme fitness of the latter is higher, indicating that its wind resistance performance is better.

[0089] Further, the type and specification of the cable to be laid are collected as the cable attribute characteristics. Wherein, the collection of cable attribute characteristics needs to cover the core parameters affecting its wind resistance performance and mechanical response.

[0090] Specifically, the cable type includes metal armored cable, non-metal reinforced core cable, flame-retardant cable, etc., different types correspond to different structural strength (such as armored cable has stronger wear resistance) and wind resistance characteristics (such as non-metal cable is lighter and is easily affected by strong wind).

[0091] In addition, the cable specification covers quantitative parameters such as outer diameter (such as 8mm, 12mm), unit length weight (such as 1.2kg / m, 1.8kg / m), tensile strength (such as 1500N, 2000N), elastic modulus (such as 80GPa, 100GPa), etc. These parameters directly determine the stress deformation law of the cable under the action of wind force.

[0092] Specifically, in the process of collecting optical cable attribute characteristics, it is necessary to check the optical cable factory technical manual and conduct on-site sampling detection to ensure the accuracy of the collected data. For example, for a batch of metal armored optical cables, the type is recorded as "armored layer stranded optical cable", the specification parameters are outer diameter 11.5 mm, unit length weight 1.6 kg / m, tensile strength 1800 N, and elastic modulus 90 GPa, which provides accurate physical attribute input for subsequent digital twin simulation.

[0093] Further, based on the obtained optical cable attribute characteristics, regional wind force characteristics, and overhead scene characteristics, an optical cable overhead simulation space is simulated and constructed by using digital twin technology.

[0094] Specifically, the simulation construction of the optical cable overhead simulation space first needs to establish a multi-dimensional data fusion basic model framework. The physical parameters in the optical cable attribute characteristics, such as the structural strength corresponding to the optical cable type, the outer diameter, the unit length weight, the tensile strength, and the elastic modulus in the specification parameters, are converted into the material properties of the digital model. By assigning the optical cable overhead simulation space with consistent mechanical parameters such as density, elastic modulus, and Poisson's ratio as the actual one, it is ensured that it can reproduce the true stress deformation characteristics in simulation.

[0095] At the same time, the historical maximum wind speed, wind direction distribution law, and high wind speed frequency data in the regional wind force characteristics are integrated, and a dynamic wind field model is constructed relying on the computational fluid dynamics algorithm (such as the Reynolds time average equation) in the existing technology to simulate the action mode of airflow on the optical cable under different wind speed and wind direction conditions, and to generate wind pressure distribution data along the length direction of the optical cable, so that the application of wind load is more consistent with the actual wind force environment.

[0096] In addition, the real optical cable erection environment also needs to be restored according to the optical cable overhead scene characteristics, and a 1:1 scale power pole three-dimensional model is constructed to accurately input parameters such as power pole spacing, vertical height difference, and average erection height, while environmental elements such as terrain undulation and surrounding obstacles are integrated to form a space scene consistent with the actual optical cable overhead area.

[0097] In addition, during the model building process, multi-source data verification is also needed to ensure accuracy. For example, the deviation between the simulated results of the static sag of the optical cable and the field measured data is controlled within ±3%, and the wind pressure value output by the wind field model is calibrated with the wind tunnel test data, with an error of not more than 5%.

[0098] Finally, through the above steps of converting the optical cable attribute characteristics into digital model material parameters, constructing a dynamic wind field model based on regional wind force characteristics, restoring the real erection environment according to the optical cable overhead scene characteristics, and performing multi-source data verification, an optical cable overhead simulation space that can accurately reproduce the interaction of "optical cable-wind force-optical cable erection scene" is constructed, providing a reliable digital twin environment for the simulation test of the subsequent hook layout scheme.

[0099] Further, after the construction of the optical cable overhead simulation space is completed, based on the preset number of optical cable hooks, the random distribution of the optical cable hooks is performed with the maximum coverage distance of the optical cable hooks as a constraint to generate a plurality of corresponding optical cable hook layout sequences.

[0100] Specifically, the generation of the optical cable hook layout sequence needs to be performed under the dual constraints of the "preset number of optical cable hooks" and the "maximum coverage distance".

[0101] Among them, the preset number of optical cable hooks is calculated according to the total length of the optical cable, the distance between power poles, and industry standards, such as the need to lay not less than 60 optical cable hooks per 50 meters of span; the maximum coverage distance is the maximum allowable interval between optical cable hooks, such as the industry standard stipulates not more than 1.5 meters, to avoid excessive sag of the optical cable due to insufficient support.

[0102] At the same time, a diversified hook distribution scheme is constructed in a random generation manner to cover the wind resistance performance possibility under different support modes, providing sufficient sample basis for subsequent iterative optimization.

[0103] Specifically, on the optical cable path between each power pole, the optical cable hook position coordinates are randomly generated in the range of [0, maximum coverage distance] with the power pole body as the starting point, and the distance between adjacent optical cable hooks cannot exceed the maximum coverage distance, until the preset number of optical cable hooks is reached.

[0104] Exemplarily, between two power poles with a distance of 45 meters, the preset number of optical cable hooks is 50, which needs to be randomly allocated in the range of 0-45 meters, ensuring that the distance between adjacent points is ≤1.5 meters, finally forming a differentiated optical cable hook layout sequence, and each optical cable hook layout sequence corresponds to a group of optical cable hook position coordinate data as the input of the subsequent simulation motion test.

[0105] Further, in the constructed optical cable overhead simulation space, the obtained multiple optical cable hook layout sequences are respectively subjected to optical cable simulation motion, and then multiple corresponding predicted wind force distribution uniformities and multiple predicted maximum optical cable swing amplitudes are output.

[0106] Specifically, the optical cable simulation motion test is realized through dynamics simulation, that is, in the digital twin space, the optical cable model corresponding to each optical cable hook layout sequence is subjected to extreme wind load (such as historical maximum wind speed) in regional wind characteristics to simulate the dynamic response process of the optical cable under strong wind action, including optical cable swing trajectory, optical cable force distribution, etc.

[0107] At the same time, in the process of optical cable simulation motion test, two types of key data including predicted wind force distribution uniformity and predicted maximum optical cable swing amplitude need to be collected in real time.

[0108] Specifically, the acquisition of the predicted wind force distribution uniformity is by calculating the uniformity index of the wind load of different sections (such as every 2 meters) of the optical cable under the condition of maximum wind speed, that is, the formula "predicted wind force distribution uniformity = 1- (maximum difference of wind load / average value of wind load)" can be used to quantify the balance degree of the wind force distribution on the optical cable, and the average value can be taken according to the prediction results of multiple simulations to reduce the error of a single simulation.

[0109] Secondly, the acquisition of the predicted maximum swing amplitude of the optical cable is by tracking the dynamic displacement of the characteristic points such as the cross and the hook connection under the action of the maximum wind speed, recording the maximum swing amplitude within the preset time (such as 10 minutes of strong wind action) to reflect the dynamic stability of the optical cable, and the average value can also be taken according to the prediction results of multiple simulations to improve the data reliability.

[0110] Exemplarily, for a certain optical cable hook arrangement sequence, 3 optical cable simulation motion tests are carried out under the action of the maximum wind speed, the first time the wind load uniformity index of 10 sections is 0.86, the maximum swing amplitude of the cross is 0.7 meters, the second time is 0.88, 0.68 meters, and the third time is 0.85, 0.72 meters, and after taking the average value, the prediction results of the sequence are predicted wind force distribution uniformity (0.86+0.88+0.85) / 3≈0.86, and the predicted maximum swing amplitude (0.7+0.68+0.72) / 3≈0.7 meters.

[0111] Finally, through the optical cable simulation motion test of all optical cable hook arrangement sequences, multiple groups of prediction data optimized by the average value can be formed to provide more accurate basis for the scheme adaptability evaluation.

[0112] On this basis, based on the constructed scheme adaptability evaluation function, according to the obtained multiple predicted wind force distribution uniformities and multiple predicted maximum swing amplitudes of the optical cable, multiple corresponding scheme adaptabilities are obtained through evaluation.

[0113] Specifically, the evaluation of the scheme adaptability is to put the prediction data of each optical cable hook arrangement sequence into the constructed scheme adaptability evaluation function, and the single scheme adaptability value is obtained by weighted calculation.

[0114] Similarly, before the calculation of the scheme adaptability value, the predicted maximum swing amplitude of the optical cable needs to be normalized, that is, taking the safety swing threshold of the optical cable type as the reference, the actual swing amplitude is converted to a value of 0-1 to ensure that the value range is consistent with that of the wind force distribution uniformity.

[0115] Further, the predicted wind force distribution uniformity and the normalized predicted maximum swing amplitude are put into the constructed scheme adaptability evaluation function to calculate the scheme adaptability value corresponding to the hook arrangement sequence.

[0116] Specifically, the calculation expression of the scheme fitness evaluation function is "scheme fitness = fitting distribution uniformity weight x predicted wind force distribution uniformity - fitting swing amplitude weight x (normalized) predicted maximum swing amplitude", two types of indicators are integrated according to the weight proportion of dynamic adjustment through the scheme fitness evaluation function, and the wind resistance performance of the optical cable hook layout scheme is quantified.

[0117] Among them, the fitting distribution uniformity weight and the fitting swing amplitude weight are the weight proportion of the index based on the high wind speed frequency configuration in the early stage, and the sum of the two is 1, so as to ensure that the evaluation results have comparability in a unified dimension.

[0118] Exemplarily, the predicted wind force distribution uniformity of a certain optical cable hook layout sequence is 0.86, the normalized predicted maximum swing amplitude is 0.35, the corresponding fitting distribution uniformity weight is 0.55, and the fitting swing amplitude weight is 0.45, then the scheme fitness = 0.55 x 0.86 - 0.45 x 0.35 = 0.3155.

[0119] In addition, the predicted wind force distribution uniformity of another optical cable hook layout sequence is 0.78, the normalized predicted maximum swing amplitude is 0.28, and under the same weight configuration, the scheme fitness = 0.55 x 0.78 - 0.45 x 0.28 = 0.303, which is lower than that of the former, indicating that the optical cable hook layout scheme of the former has better wind resistance performance.

[0120] Similarly, the scheme fitness of all the remaining optical cable hook layout sequences is calculated, that is, the predicted wind force distribution uniformity and the normalized predicted maximum swing amplitude of each sequence are substituted into the scheme fitness evaluation function "scheme fitness = fitting distribution uniformity weight x predicted wind force distribution uniformity - fitting swing amplitude weight x (normalized) predicted maximum swing amplitude" to obtain a plurality of scheme fitnesses corresponding to each sequence.

[0121] On this basis, the obtained plurality of scheme fitnesses are optimized for the optical cable hook layout scheme to output an optimal hook layout scheme.

[0122] The method provided in the embodiment of the application includes the following steps: Based on the plurality of scheme fitnesses, the plurality of optical cable hook layout sequences are arranged in descending order of scheme fitness, and the optical cable hook layout sequence is regarded as an initial solution to obtain an initial solution sequence. set the first P solutions of the initial solution sequence as optimal solutions, the last J solutions as poor solutions, and cluster the J poor solutions with the optimal solution as the center to obtain P solution sets, wherein the sum of P and J is the number of initial solutions, and J is N times of P, N is greater than or equal to 20 and less than or equal to 50; set the solution with the minimum scheme fitness in the P solution sets as a poor solution to obtain P poor solutions, and configure a strategy of avoiding poor solutions based on the P optimal solutions and the P poor solutions; According to the strategy of avoiding poor solutions, the optimal cable hook layout scheme is output based on the P solution sets.

[0123] In the embodiments of the present application, in order to accurately select the optimal solution with the best wind resistance performance from a large number of potential cable hook layout schemes, a combination process of clustering grouping, strategy configuration and iterative optimization is needed to realize directional optimization of the scheme fitness, so as to ensure that the finally output scheme can best adapt to the wind environment of the region.

[0124] Specifically, first, the cable hook layout sequence is sorted and grouped based on the scheme fitness. That is, the scheme fitness is arranged from large to small, and the cable hook layout sequence is regarded as an initial solution to obtain an initial solution sequence.

[0125] Further, the first P solutions with the highest fitness are defined as optimal solutions, and the last J solutions with lower fitness are defined as poor solutions.

[0126] Wherein, the value of J is 20-50 times of P, to ensure that there are enough potential solutions for optimization exploration. For example, when P=5, J can take a value of 100-250, and the total number of initial solutions is 105-255, which avoids the limitation of optimization caused by too few solutions, and prevents the increase of calculation load caused by too many solutions.

[0127] Further, the K-means clustering algorithm in the prior art is used to cluster the J poor solutions with the optimal solution as the center, so that each solution set contains one optimal solution and several poor solutions with similar characteristics (such as cable hook distribution density and similar sequence of cross support point positions), forming P independent solution sets, which lays a foundation for targeted optimization of cable hook distribution scheme.

[0128] Further, in each solution set, the poor solution with the minimum scheme fitness is defined as a poor solution, which clearly indicates the “performance short board” in the solution set. For example, the optimal solution fitness of a solution set is 0.85, and it contains 20 poor solutions, of which the poor solution with a scheme fitness of 0.3 is defined as a poor solution, representing the most improved solution in the group.

[0129] On this basis, a strategy of avoiding poor solutions is configured based on the P optimal solutions and the P poor solutions.

[0130] In the method provided by the embodiments of the present application, the step of "configuring a superior-approaching and inferior-avoiding strategy based on P superior solutions and P inferior solutions" comprises the following steps: randomly selecting a first solution set from the P solution sets, obtaining a first superior solution, a first inferior solution and a plurality of first inferior solutions in the first solution set, and obtaining a superior solution fitness of the first superior solution, an inferior solution fitness of the first inferior solution and an average value of inferior solution fitnesses of the plurality of first inferior solutions; performing deviation calculation on the superior solution fitness and the average value of inferior solution fitnesses to obtain a superior solution fitness deviation; performing deviation calculation on the inferior solution fitness and the average value of inferior solution fitnesses to obtain an inferior solution fitness deviation; if the superior solution fitness deviation is greater than or equal to the inferior solution fitness deviation, setting the optimization strategy as a superior-approaching strategy, wherein the superior-approaching strategy is to adjust the inferior solutions in the same solution set according to a predetermined optimization step length in a direction of the superior solution; if the superior solution fitness deviation is less than the inferior solution fitness deviation, setting the optimization strategy as an inferior-avoiding strategy, wherein the inferior-avoiding strategy is to adjust the inferior solutions in the same solution set according to a predetermined optimization step length in a direction away from the inferior solution.

[0131] In the embodiments of the present application, in order to realize accurate optimization of the optical cable hook layout scheme, it is necessary to quantify the influence difference of superior solutions and inferior solutions on inferior solutions, and it is necessary to configure an optimization strategy in a targeted manner to ensure that the inferior solutions are adjusted in a direction of better performance.

[0132] Specifically, first, a first solution set is randomly selected from the P solution sets as a sample for strategy configuration. The solution set contains one first superior solution (optical cable hook layout sequence with the highest fitness), one first inferior solution (optical cable hook layout sequence with the lowest fitness) and a plurality of first inferior solutions (optical cable hook layout sequences between the superior solution and the inferior solution).

[0133] Further, the superior solution fitness of the first superior solution, the inferior solution fitness of the first inferior solution and the average value of the fitnesses of the plurality of first inferior solutions are extracted to provide basic data for subsequent deviation analysis.

[0134] Further, deviation calculation is performed on the superior solution fitness and the average value of the inferior solution fitnesses to obtain a superior solution fitness deviation. The specific calculation formula can be expressed as "superior solution fitness deviation = superior solution fitness - average value of inferior solution fitnesses". The superior solution fitness deviation reflects the performance advantage margin of the superior solution relative to the average level of the inferior solutions.

[0135] At the same time, deviation calculation is performed on the inferior solution fitness and the average value of the inferior solution fitnesses to obtain an inferior solution fitness deviation. The specific calculation formula can be expressed as "inferior solution fitness deviation = average value of inferior solution fitnesses - inferior solution fitness". The inferior solution fitness deviation reflects the performance disadvantage margin of the inferior solution relative to the average level of the inferior solutions.

[0136] On this basis, according to the deviation comparison result, the differential configuration optimization strategy is configured. Specifically, if the optimal solution fitness deviation >= the poor solution fitness deviation, it indicates that approaching the optimal solution can bring more significant performance improvement, and at this time, the optimization strategy is set to the optimal strategy.

[0137] The core of the optimal strategy is to copy the key features of the optimal solution, and adjust the inferior solutions in the same solution set according to the predetermined optimization step length. For example, the optimal solution is to set a cable hook every 0.8 meters in the midspan area, and the optimal strategy will gradually adjust the cable hook spacing in the midspan area of the inferior solution from 1.2 meters to about 0.8 meters, so as to approach the support mode of the optimal solution.

[0138] On the contrary, if the optimal solution fitness deviation < the poor solution fitness deviation, it indicates that avoiding the defects of the poor solution is more critical to performance improvement, and at this time, the optimization strategy is set to the poor strategy.

[0139] Specifically, the poor strategy needs to identify the typical problems of the poor solution, and adjust the inferior solution in the opposite direction according to the same predetermined step length, away from the configuration mode of the poor solution. For example, the poor solution causes the cable to swing too much because it only sets a cable hook every 1.5 meters on the windward side of the cable, and the poor strategy will further reduce the hook spacing on the windward side of the inferior solution from 1.3 meters to within 1.0 meter, in order to avoid the shortcomings of the poor solution.

[0140] The predetermined optimization step length needs to consider the optimization efficiency and accuracy, and is usually determined according to the minimum adjustment unit of the cable hook (such as 0.05 meters) and the difference degree of the solution set. If the predetermined optimization step length is too large, the optimization will be unstable, and if the predetermined optimization step length is too small, the number of iterations will increase. Generally, the value range is 0.05-0.2 meters.

[0141] Finally, through the strategy configuration of the above steps deviation, it can be ensured that the optimization direction of each solution set matches its performance characteristics, which fully utilizes the advantages of the optimal solution and effectively avoids the shortcomings of the poor solution, and lays a scientific foundation for subsequent iteration optimization.

[0142] Further, according to the configured optimal and poor strategies, the P solution sets are optimized for cable hook arrangement schemes to output an optimal hook arrangement scheme.

[0143] The method provided in the embodiments of the present application includes the following steps: According to the optimal and poor strategies, the inferior solutions in the P solution sets are adjusted according to the predetermined optimization step length, and P updated solution sets are obtained. identify the P update solution sets, and if the scheme fitness of the inferior solution is greater than or equal to the scheme fitness of the superior solution, replace the superior solution with the inferior solution, and if the scheme fitness of the inferior solution is less than or equal to the scheme fitness of the poor solution, replace the poor solution with the inferior solution; iterative optimization is performed until a preset convergence number is reached, P current update solution sets are output, and the superior solution of the optimal update solution set is selected as the optimal hook arrangement scheme, wherein the optimal update solution set is the solution set with the maximum sum of scheme fitnesses in the P current update solution sets.

[0144] In the embodiments of the present application, in order to continuously improve the wind resistance of the optical cable hook arrangement scheme through continuous optimization iteration and finally screen out the optimal scheme, the closed-loop process of "adjustment-replacement-iteration-optimal selection" needs to be strictly followed to ensure that each round of optimization can advance towards better performance, and the reliability and universal adaptability of the optimal scheme are guaranteed through comparison of multiple solution sets.

[0145] Specifically, first, according to the optimization-avoiding inferior strategy, the inferior solutions in the P solution sets are adjusted according to a predetermined optimization step.

[0146] Further, in the adjustment process, for the solution set using the optimization strategy, the hook positions in the inferior solution that are greatly different from the superior solution are moved to the superior solution direction by a predetermined optimization step based on the hook distribution characteristics of the superior solution.

[0147] Illustratively, the hook spacing of the superior solution in the cross region is 0.8 meters, and the spacing of the inferior solution in the corresponding region is 1.2 meters, so the hook positions of the inferior solution are moved to the middle by 0.1 meters step by step to gradually reduce the spacing.

[0148] Further, for the solution set using the inferior-avoiding strategy, the unreasonable configuration similar to the poor solution in the inferior solution is adjusted in the opposite direction, such as the optical cable hook density of the poor solution on the windward side is 0.5 per meter, and the corresponding region of the inferior solution is 0.6 per meter, then the number of hooks is increased by 0.1 meter step to make the density increase to more than 0.7 per meter.

[0149] Finally, through the adjustment of the above steps, the inferior solutions in each solution set generate new optical cable hook arrangement sequences, forming P update solution sets.

[0150] Further, the P generated update solution sets are identified and replaced to realize dynamic optimization within the solution set.

[0151] Specifically, in the same update solution set, the adjusted inferior solution is compared with the original superior solution and the original poor solution in terms of scheme fitness. If the scheme fitness of the inferior solution is greater than or equal to the scheme fitness of the superior solution, it indicates that the performance of the inferior solution after adjustment has exceeded or reached the current superior solution level, and at this time, the inferior solution is used to replace the original superior solution, so that the optimal performance of the solution set is improved.

[0152] On the contrary, if the scheme fitness of the inferior solution is less than or equal to the scheme fitness of the poor solution, it indicates that the performance of the inferior solution after adjustment has further decreased and has become a new performance bottleneck, and at this time, the inferior solution is used to replace the original poor solution to clarify the direction of improvement in the solution set.

[0153] For example, the original superior solution fitness of a certain update solution set is 0.85, the adjusted scheme fitness of a certain inferior solution reaches 0.88, and 0.88>0.85, so the inferior solution is used to replace the original superior solution. The original poor solution fitness is 0.3, and the adjusted fitness of the inferior solution decreases to 0.28, and 0.28<0.3, so the inferior solution is used to replace the original poor solution. Through this dynamic replacement, it is ensured that each solution set always maintains the latest superior solution and poor solution state.

[0154] Further, the adjustment and replacement process of the above steps is repeated for iterative optimization.

[0155] Specifically, in the iterative optimization process, the mean and deviation of the inferior solution fitness are recalculated based on the superior solution and the poor solution of the current solution set, the optimization and avoidance strategies are dynamically updated, and the inferior solution is adjusted by a predetermined optimization step until a preset convergence number is reached.

[0156] The preset convergence number is set according to actual optimization requirements, and is usually 30-100 rounds, for example, 50 rounds. When the number of iterations reaches 50 rounds, whether the performance continues to improve or not, the iteration is stopped to balance the optimization effect and the calculation cost. If the scheme fitness improvement amplitude is less than 0.001 for a plurality of rounds (such as 5 rounds) in the iteration process, the convergence can be determined in advance to shorten the iteration period.

[0157] Finally, after the iterative optimization is completed, P current update solution sets are output, and the sum of the scheme fitness of all schemes in each update solution set is calculated to select the update solution set with the maximum sum as the optimal update solution set.

[0158] The solution set with the maximum sum of scheme fitness is the overall optimal solution set, and the internal superior solution not only has outstanding performance itself, but also has high performance of other schemes in the solution set, which has stronger stability and reliability.

[0159] Therefore, the optimal solution of the optimal updating solution set is determined as the final optimal hook arrangement scheme, which can achieve the best balance between wind distribution uniformity and optical cable swing amplitude, maximally adapt to the regional wind environment, and provide strong guarantee for the safe and stable operation of the optical cable.

[0160] S140: In the optical cable overhead area, the optical cable hook construction is performed according to the optimal hook arrangement scheme.

[0161] In the embodiment of the application, in order to convert the optimal hook arrangement scheme obtained by virtual simulation optimization into an actual executable construction operation, the scheme parameters and the field construction specifications need to be strictly followed to ensure that the construction quality is consistent with the simulation expectation, and finally the optimal wind resistance performance of the optical cable in the actual wind environment is realized.

[0162] Specifically, before construction, parameter analysis and field checking of the optimal hook arrangement scheme need to be completed, and the position coordinates, distribution density, spacing settings and other data of the optical cable hooks in the scheme are converted into specific marks on the construction drawings, and the hook installation points between each power pole, the key support positions in the span, and the encryption arrangement requirements of special sections (such as high wind pressure areas and terrain undulations) are marked.

[0163] At the same time, the construction personnel are organized to analyze the scheme to clarify the core design content of the optimal hook arrangement scheme. For example, in a certain area where the high wind speed frequency reaches 50 times / year, the optimal hook arrangement scheme is to arrange an optical cable hook every 0.8 meters in the span area, and the spacing on the windward side is reduced to 0.6 meters. The construction personnel need to be informed of the key role of the optimal hook arrangement scheme design in suppressing the swing of the optical cable to ensure that the parameters are strictly followed during construction.

[0164] In addition, during the construction process, the installation points of each hook are accurately positioned using tools such as laser range finders based on the position coordinates of the optical cable hooks in the optimal hook arrangement scheme, combined with the power pole spacing and power pole vertical height difference in the optical cable overhead scene characteristics and other field conditions, to avoid the decline in the support effect of the optical cable due to position deviation.

[0165] Among them, for the special sections required in the optimal hook arrangement scheme, such as the optical cable hook encryption section in the high wind speed frequent area, the installation density needs to be additionally checked. For example, the section where the optimal hook arrangement scheme design requires 2 hooks per meter needs to be counted and checked after construction to ensure consistency with the scheme.

[0166] At the same time, the construction operation needs to comply with the industry specifications of optical cable erection, and the contact parts of the optical cable hook and the optical cable need to be equipped with an insulating protective sleeve to avoid abrasion of the outer layer of the optical cable due to friction, and the fixing strength of the hook needs to reach the preset standard and be verified by tension test before subsequent construction.

[0167] Finally, after the construction is completed, on-site acceptance and performance verification are required to compare the deviation between the actual optical cable hook layout position and the optimal hook layout scheme, to ensure that the position error of all installation points is not more than ±0.05 meters, and the interval error is not more than ±0.1 meters.

[0168] At the same time, combined with the historical maximum wind speed in the regional wind characteristics, the swing situation of the optical cable under the action of natural wind is monitored through unmanned aerial vehicle shooting or manual observation. If it is found that the swing amplitude of a section is abnormal (such as more than 10% of the simulation prediction value), it is necessary to check whether the hook installation in this area meets the scheme requirements, and if necessary, to make secondary adjustment.

[0169] For example, it is found through detection that the swing amplitude at the midspan of a certain construction section is larger than the predicted value. After investigation, it is found that the actual optical cable hook spacing at this place is 0.9 meters, which exceeds the requirement of 0.8 meters in the optimal hook layout scheme. Therefore, optical cable hooks need to be supplemented to correct the optical cable hook spacing until the design standard of the optimal hook layout scheme is met.

[0170] Finally, by strictly following the optimal hook layout scheme to perform construction, strengthening process control and acceptance verification, the actual optical cable hook layout is highly consistent with the virtual simulation optimization result, ensuring that the optical cable can maintain stable operation under different wind conditions, fully utilizing the wind resistance performance advantage of the optimal hook layout scheme, and reducing the risk of optical cable damage caused by wind action.

[0171] Through the specific implementation manner described above, the technical effects as follows are achieved: The application proposes a cable laying auxiliary design optimization method. First, based on the environmental monitoring log of the optical cable overhead area, the maximum wind speed in the historical time range is collected as the regional wind characteristics, and the overhead scene characteristics such as the average height of the erected height and the distance between the power poles are collected. Then, the wind distribution uniformity and the optical cable swing amplitude are configured as the optimization evaluation indexes, the index weight proportion is dynamically adjusted according to the high wind speed frequency, and the scheme fitness evaluation function is constructed. Then, the optical cable type and specification are collected as the optical cable attribute characteristics, and the digital twin technology is used to integrate the three types of characteristics to construct the optical cable overhead simulation space. Then, taking the maximum coverage distance as the constraint, a plurality of hook layout sequences are generated, and the predicted wind distribution uniformity and the predicted maximum swing amplitude of the optical cable are obtained by simulating and testing in the optical cable overhead simulation space, and the scheme fitness is calculated. Finally, the optimal hook layout scheme is output through clustering iteration and optimization, and is used for actual construction.

[0172] The method provided in the embodiment of the present application solves the problems of uneven wind distribution, excessive swing amplitude, and poor stability caused by the lack of targeted solutions and insufficient consideration of dynamic factors in traditional cable laying through the technical solution of "feature collection-weight configuration-simulation test-iterative optimization-construction implementation". It achieves precise adaptation of the hook layout solution to the wind speed environment, improves the wind resistance safety and optimization efficiency of cable laying, and provides reliable technical support for auxiliary design of cable laying.

[0173] Example 2, as shown in the attached Figure 2 As shown, based on the inventive concept of the auxiliary design optimization method for cable laying provided in Example 1, the present application also provides an auxiliary design optimization system for cable laying, specifically comprising: Wind feature collection module 01 is used to collect the maximum wind speed within a historical time range as regional wind features based on the environmental monitoring log of the optical cable overhead area; Overhead scene acquisition module 02, used to collect the average installation height of the optical cable, the distance between power poles, the vertical height difference of power poles, and the type of power poles during the installation process as overhead scene features; The hook scheme optimization module 03 is used to optimize the cable hook layout scheme based on the scheme fitness evaluation function and the preset number of cable hooks, with the maximum coverage distance of the cable hooks as a constraint, according to the cable attribute characteristics and the regional wind characteristics and overhead scene characteristics, and output the optimal hook layout scheme; The optimal solution implementation module 04 is used to perform optical cable hooking construction in the optical cable overhead area according to the optimal hooking layout plan.

[0174] In one embodiment, the hooking solution optimization module 03 is further configured to: Configuring optimization evaluation indicators, wherein the optimization evaluation indicators include wind distribution uniformity and optical cable swing amplitude; According to the weight ratio of the indicators, a scheme fitness evaluation function is constructed according to the wind distribution uniformity and the optical cable swing amplitude, wherein the scheme fitness is positively correlated with the wind distribution uniformity and negatively correlated with the optical cable swing amplitude.

[0175] Collect the type and specification of the optical cable to be laid as the optical cable attribute characteristics; Using digital twin technology, a simulation is performed to construct an overhead optical cable simulation space based on the optical cable attribute characteristics, regional wind characteristics, and overhead scene characteristics; Taking the maximum coverage distance of the optical cable hooks as a constraint, randomly distributing the optical cable hooks based on the preset number of optical cable hooks to generate multiple optical cable hook layout sequences; In the optical cable overhead simulation space, optical cable simulation movements are performed according to the optical cable hanger arrangement sequences respectively, and a plurality of predicted wind force distribution uniformities and a plurality of predicted maximum optical cable swing amplitudes are output; Based on the scheme fitness evaluation function, a plurality of scheme fitnesses are evaluated according to the plurality of predicted wind force distribution uniformities and the plurality of predicted maximum optical cable swing amplitudes; Based on the plurality of scheme fitnesses, an optical cable hanger arrangement scheme optimization is performed, and an optimal hanger arrangement scheme is output.

[0176] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned describes a specific embodiment of the present application. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or may be advantageous.

[0177] The above only describes the preferred embodiments of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0178] The specification and drawings of the present application are only exemplary descriptions of the present application, and are considered to cover any and all modifications, changes, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application. Thus, if these modifications and changes of the present application belong to the scope of the present application and its equivalent technology, the present application intends to include these modifications and changes.

Claims

1. A cable laying auxiliary design optimization method, characterized in that: Methods include: Based on the environmental monitoring logs of the area where the optical cable is overhead, the maximum wind speed within the historical time range is collected as the regional wind characteristics; The average installation height of the optical cable, the distance between power poles, the vertical height difference of power poles, and the type of power poles during the overhead process are collected as overhead scene features; Based on the scheme fitness evaluation function and the preset number of optical cable hooks, with the maximum coverage distance of the optical cable hooks as a constraint, the optical cable hook layout scheme is optimized according to the optical cable attribute characteristics and the regional wind characteristics and overhead scene characteristics, and the optimal hook layout scheme is output; In the optical cable overhead area, optical cable hooking construction is carried out according to the optimal hooking layout plan.

2. The cable laying auxiliary design optimization method according to claim 1, characterized in that: The process of constructing the scheme fitness evaluation function includes: Configuring optimization evaluation indicators, wherein the optimization evaluation indicators include wind distribution uniformity and optical cable swing amplitude; According to the weight ratio of the indicators, a scheme fitness evaluation function is constructed according to the wind distribution uniformity and the optical cable swing amplitude, wherein the scheme fitness is positively correlated with the wind distribution uniformity and negatively correlated with the optical cable swing amplitude.

3. The cable laying auxiliary design optimization method according to claim 2, characterized in that: The configuration process of the indicator weight ratio includes: Based on the environmental monitoring logs of the overhead cable area, the number of times the wind speed exceeded the preset wind speed threshold within the historical time range is counted and set as the high wind speed frequency; Obtaining a swing amplitude weight adjustment coefficient according to the high wind speed frequency matching, correcting the initial swing amplitude weight to obtain an adapted swing amplitude weight, wherein the initial swing amplitude weight is 0.5 and the adapted swing amplitude weight does not exceed 0.8; The adaptation swing amplitude weight is subtracted from 1 to obtain the adaptation distribution uniformity weight, and the indicator weight ratio is generated in combination with the adaptation swing amplitude weight.

4. The cable laying auxiliary design optimization method according to claim 1, characterized in that: Based on the scheme fitness evaluation function and the preset number of cable hooks, with the maximum cable hook coverage distance as a constraint, the cable hook layout scheme is optimized according to the cable attribute characteristics, the regional wind characteristics, and the overhead scene characteristics, including: Collect the type and specification of the optical cable to be laid as the optical cable attribute characteristics; Using digital twin technology, a simulation is performed to construct an overhead optical cable simulation space based on the optical cable attribute characteristics, regional wind characteristics, and overhead scene characteristics; Taking the maximum coverage distance of the optical cable hooks as a constraint, randomly distributing the optical cable hooks based on the preset number of optical cable hooks to generate multiple optical cable hook layout sequences; In the optical cable overhead simulation space, performing optical cable simulation movements according to the multiple optical cable hooking and laying sequences, and outputting multiple predicted wind force distribution uniformities and multiple predicted maximum optical cable swing amplitudes; Based on a scheme fitness evaluation function, multiple scheme fitnesses are evaluated according to the multiple predicted wind force distribution uniformities and the multiple predicted maximum optical cable swing amplitudes; An optical cable hooking layout scheme is optimized based on the fitness of the multiple schemes, and an optimal hooking layout scheme is output.

5. The cable laying auxiliary design optimization method according to claim 4, characterized in that: Optimizing the optical cable hooking and laying scheme based on the fitness of the multiple schemes and outputting the optimal hooking and laying scheme includes: Based on the fitness of the multiple solutions, the multiple optical cable hook arrangement sequences are arranged in descending order of fitness, and the optical cable hook arrangement sequence is regarded as an initial solution to obtain an initial solution sequence; The first P solutions of the initial solution sequence are set as optimal solutions, and the last J solutions are set as inferior solutions. The J inferior solutions are clustered with the optimal solution as the center to obtain P solution sets, where the sum of P and J is the number of initial solutions, and J is N times P, where N is greater than or equal to 20 and less than or equal to 50; The solution with the minimum fitness among the P solutions is set as a differential solution to obtain P differential solutions, and a strategy of pursuing excellence and avoiding inferiority is configured based on the P optimal solutions and the P differential solutions; According to the strategy of seeking the best and avoiding the worst, the optical cable hook layout scheme is optimized according to the P solution sets, and the optimal hook layout scheme is output.

6. The cable laying auxiliary design optimization method according to claim 5, characterized in that: Based on P optimal solutions and P inferior solutions, a strategy of embracing the best and avoiding the worst is configured, including: Randomly selecting a first solution set from the P solution sets, obtaining a first optimal solution, a first differential solution, and multiple first inferior solutions from the first solution set, and obtaining the optimal solution fitness of the first optimal solution, the differential solution fitness of the first differential solution, and the average inferior solution fitness of the multiple first inferior solutions; Performing deviation calculation on the mean values ​​of the fitness of the optimal solution and the fitness of the inferior solution to obtain the fitness deviation of the optimal solution; Performing deviation calculation on the difference solution fitness and the inferior solution fitness mean to obtain the difference solution fitness deviation; If the fitness deviation of the optimal solution is greater than or equal to the fitness deviation of the inferior solution, the optimization strategy is set to the optimal strategy, wherein the optimal strategy is to adjust the inferior solutions in the same solution set according to a predetermined optimization step size with the optimal solution as the direction; If the fitness deviation of the optimal solution is smaller than the fitness deviation of the differential solution, the optimization strategy is set to the inferior solution avoidance strategy, wherein the inferior solution avoidance strategy is to adjust the inferior solutions in the same solution set according to a predetermined optimization step size in the direction of moving away from the differential solution.

7. The cable laying auxiliary design optimization method according to claim 5, characterized in that: According to the strategy of seeking the best and avoiding the worst, searching for the best cable hook layout scheme based on the P solution sets, and outputting the optimal hook layout scheme, including: According to the strategy of seeking the best and avoiding the worst, the inferior solutions in the P solution sets are adjusted according to the predetermined step length of finding the best, so as to obtain P updated solution sets; Identify the P updated solution sets, and within the same updated solution set, if the fitness of the inferior solution is greater than or equal to the fitness of the superior solution, then use the inferior solution to replace the superior solution; if the fitness of the inferior solution is less than or equal to the fitness of the poor solution, then use the inferior solution to replace the poor solution; Perform iterative optimization until the preset number of convergences is reached, output P current update solution sets, and select the best solution of the best update solution set as the optimal hook deployment scheme, wherein the best update solution set is the solution set with the largest sum of the fitness of the solutions in the P current update solution sets.

8. A cable laying auxiliary design optimization system, characterized in that: The system is used to execute the auxiliary design optimization method for cable laying according to any one of claims 1 to 7, and the system includes: The wind characteristics collection module is used to collect the maximum wind speed within the historical time range as the regional wind characteristics based on the environmental monitoring log of the optical cable overhead area; The overhead scene acquisition module is used to collect the average installation height of the optical cable, the distance between power poles, the vertical height difference of power poles, and the type of power poles during the installation process as overhead scene features; A hook scheme optimization module is used to optimize the cable hook layout scheme based on the scheme fitness evaluation function and the preset number of cable hooks, with the maximum coverage distance of the cable hooks as a constraint, according to the cable attribute characteristics and the regional wind characteristics and overhead scene characteristics, and output the optimal hook layout scheme; The optimal solution implementation module is used to carry out optical cable hook construction in the optical cable overhead area according to the optimal hook layout plan.

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