CN116505435B - Intelligent cable installation process correction method and system - Google Patents

Intelligent cable installation process correction method and system Download PDF

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Publication number
CN116505435B
CN116505435B CN202310401412.5A CN202310401412A CN116505435B CN 116505435 B CN116505435 B CN 116505435B CN 202310401412 A CN202310401412 A CN 202310401412A CN 116505435 B CN116505435 B CN 116505435B
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cable
deployment
parameter
laying
trench
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CN116505435A (en
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冯鸿亮
董典帅
尤旭昶
管生胜
曹志文
张玲丽
石兴伟
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Wuxi Guangying Group Co ltd Electrical Manufacturing Branch
Wuxi Guangying Group Co ltd
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Wuxi Guangying Group Co ltd Electrical Manufacturing Branch
Wuxi Guangying Group Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
    • H02G1/00—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines
    • H02G1/06—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines for laying cables, e.g. laying apparatus on vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
    • H02G3/00—Installations of electric cables or lines or protective tubing therefor in or on buildings, equivalent structures or vehicles
    • H02G3/02—Details
    • H02G3/04—Protective tubing or conduits, e.g. cable ladders or cable troughs
    • H02G3/0456—Ladders or other supports
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/16—Cables, cable trees or wire harnesses

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Computational Mathematics (AREA)
  • Structural Engineering (AREA)
  • Civil Engineering (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Architecture (AREA)
  • Laying Of Electric Cables Or Lines Outside (AREA)
  • Suspension Of Electric Lines Or Cables (AREA)

Abstract

The application relates to the technical field of cable engineering, and provides a method and a system for correcting an installation process of an intelligent cable. Generating cable trench deployment parameter optimization results and cable bracket deployment parameter optimization results according to the number of cables to be laid, correspondingly constructing a cable trench deployment abnormality detection model and a cable bracket deployment abnormality detection model based on the optimization results, inputting a cable trench deployment scheme and a cable bracket deployment scheme into the corresponding deployment abnormality detection model to obtain an abnormality detection result, and correcting the cable installation scheme according to the abnormality detection result. The technical problems that in the prior art, decision generation of cable installation and laying depends on manual experience, laying decision efficiency is low when large-scale cable installation is carried out, so that the time consumption of cable installation is long are solved, dependence of the cable installation and laying decision on the manual experience is reduced, scientificity and timeliness of the obtained large-scale cable installation decision are improved, and further, the technical effect of improving the large-scale cable installation efficiency is indirectly achieved.

Description

Intelligent cable installation process correction method and system
Technical Field
The application relates to the technical field of cable engineering, in particular to a method and a system for correcting an installation process of an intelligent cable.
Background
The cable is a wire product for transmitting electric energy information and realizing electromagnetic energy conversion, and makes an important contribution in the aspect of facilitating the production and life of modern people, and the average-person cable possession continuously rises along with the modern development.
As cables meeting different power usage demands are invented and applied to markets, the decision difficulty of cabling installation schemes and the laying efficiency have been somewhat slippery compared to the past. If cabling is still dependent on manual experience as in the past, there is a disadvantage in that cabling decision schemes are inefficient and less scientific to produce, which is a risk of resulting in less safe and efficient actual cabling.
In summary, in the prior art, the decision generation of the cable installation and laying depends on the manual experience, so that the laying decision efficiency is low when the large-scale cable installation and laying is performed, and the cable installation consumes a long time.
Disclosure of Invention
Based on the above, it is necessary to provide a method and a system for correcting an installation process of an intelligent cable, which can reduce the dependency of a cable installation and laying decision on manual experience, improve the scientificity and timeliness of the obtained large cable installation decision, and further indirectly improve the large cable laying efficiency.
A method for correcting the installation process of a smart cable comprises the following steps: optimizing the cable trench deployment parameters according to the cable laying quantity to generate cable trench deployment parameter optimizing results; optimizing design is carried out on the deployment parameters of the cable brackets according to the number of the cable laying, and an optimization result of the deployment parameters of the cable brackets is generated; constructing a cable trench deployment anomaly detection model based on a binary tree structure according to the cable trench deployment parameter optimization result; constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result; acquiring a cable installation scheme, wherein the cable installation scheme comprises a cable pit deployment scheme and a cable bracket deployment scheme; inputting the cable duct deployment scheme into the cable duct deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result; and correcting the cable installation scheme according to the first abnormality detection result and the second abnormality detection result.
A smart cable installation process correction system, the system comprising: the optimization result obtaining module is used for optimally designing the cable trench deployment parameters according to the number of the cables to be laid, and generating cable trench deployment parameter optimization results; the optimal design execution module is used for optimally designing the deployment parameters of the cable brackets according to the number of the cables to be laid and generating an optimal result of the deployment parameters of the cable brackets; the detection model construction module is used for constructing a cable duct deployment abnormality detection model based on a binary tree structure according to the cable duct deployment parameter optimization result; the detection model generation module is used for constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result; the installation scheme obtaining module is used for obtaining a cable installation scheme, wherein the cable installation scheme comprises a cable trench deployment scheme and a cable bracket deployment scheme; the detection result obtaining module is used for inputting the cable pit deployment scheme into the cable pit deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result; and the installation scheme correction module is used for correcting the cable installation scheme according to the first abnormality detection result and the second abnormality detection result.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
optimizing the cable trench deployment parameters according to the cable laying quantity to generate cable trench deployment parameter optimizing results;
Optimizing design is carried out on the deployment parameters of the cable brackets according to the number of the cable laying, and an optimization result of the deployment parameters of the cable brackets is generated;
constructing a cable trench deployment anomaly detection model based on a binary tree structure according to the cable trench deployment parameter optimization result;
Constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result;
acquiring a cable installation scheme, wherein the cable installation scheme comprises a cable pit deployment scheme and a cable bracket deployment scheme;
Inputting the cable duct deployment scheme into the cable duct deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result;
And correcting the cable installation scheme according to the first abnormality detection result and the second abnormality detection result.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
optimizing the cable trench deployment parameters according to the cable laying quantity to generate cable trench deployment parameter optimizing results;
Optimizing design is carried out on the deployment parameters of the cable brackets according to the number of the cable laying, and an optimization result of the deployment parameters of the cable brackets is generated;
constructing a cable trench deployment anomaly detection model based on a binary tree structure according to the cable trench deployment parameter optimization result;
Constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result;
acquiring a cable installation scheme, wherein the cable installation scheme comprises a cable pit deployment scheme and a cable bracket deployment scheme;
Inputting the cable duct deployment scheme into the cable duct deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result;
And correcting the cable installation scheme according to the first abnormality detection result and the second abnormality detection result.
The intelligent cable installation process correction method and system solve the technical problems that in the prior art, decision generation of cable installation and laying depends on manual experience, so that laying decision efficiency is low when large-scale cable installation is carried out, and the time consumption for cable installation is long. The method and the device have the advantages that the dependence of the cable installation and laying decision on the manual experience is reduced, the scientificity and timeliness of the obtained large cable installation decision are improved, and the technical effect of improving the large cable laying efficiency is indirectly achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a flow chart of a smart cable installation process calibration method in one embodiment;
FIG. 2 is a schematic flow chart of generating optimization results of cable trench deployment parameters in a smart cable installation process calibration method according to an embodiment;
FIG. 3 is a block diagram of a smart cable installation process calibration system in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises an optimization result obtaining module 1, an optimization design executing module 2, a detection model constructing module 3, a detection model generating module 4, a mounting scheme obtaining module 5, a detection result obtaining module 6 and a mounting scheme correcting module 7.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
As shown in fig. 1, the present application provides a method for correcting an installation process of a smart cable, comprising:
s100, optimizing design is carried out on cable trench deployment parameters according to the number of cables laid, and cable trench deployment parameter optimization results are generated;
In one embodiment, as shown in fig. 2, the optimizing design is performed on the cable trench deployment parameters according to the number of cables laid, so as to generate a cable trench deployment parameter optimizing result, and the method step S100 provided by the present application further includes:
S110, the cable trench deployment parameters comprise cable trench upper opening width parameters, cable trench lower opening width parameters and cable trench depth parameters;
S120, acquiring a cable laying pipeline interval threshold value, wherein the cable laying pipeline interval threshold value represents a minimum value of interval laying of any two cable axial lines;
and S130, optimally designing the cable duct upper opening width parameter, the cable duct lower opening width parameter and the cable duct depth parameter according to the cable laying quantity and the cable laying pipeline spacing threshold value, and generating the cable duct deployment parameter optimization result.
In one embodiment, the optimizing design is performed on the cable trench upper opening width parameter, the cable trench lower opening width parameter and the cable trench depth parameter according to the cable laying number and the cable laying pipeline spacing threshold value, so as to generate the cable trench deployment parameter optimizing result, and the method step S130 provided by the present application further includes:
S131, obtaining the maximum width of the upper opening of the cable trench, the maximum width of the lower opening of the cable trench and the maximum depth of the cable trench;
S132, constructing a cable laying arrangement space according to the maximum width of the upper opening of the cable trench, the maximum width of the lower opening of the cable trench and the maximum depth of the cable trench;
S133, inputting the cable laying quantity and the cable laying pipeline spacing threshold value into the cable laying arrangement space for random arrangement screening to obtain an optimal solution of cable laying arrangement;
S134, designing the cable duct upper opening width parameter, the cable duct lower opening width parameter and the cable duct depth parameter according to the optimal solution of the cable laying arrangement, and generating the cable duct deployment parameter optimization result.
In one embodiment, the step S133 of the method provided by the present application further includes:
s133-1, inputting the number of the cable laying and the distance threshold value of the cable laying pipeline into the cable laying arrangement space for non-return random arrangement for n times, and obtaining an i-th group of cable laying arrangement solutions, wherein the non-return random arrangement means that the arranged solutions cannot be arranged for the second time;
S133-2, traversing the ith cable laying arrangement solution to obtain an ith cable laying cost parameter set and an ith cable laying space volume parameter set;
s133-3, setting a first weight for the cable laying cost parameter and a second weight for the cable laying space volume parameter;
S133-4, screening the ith cable laying arrangement solution according to the first weight and the second weight and combining the ith cable laying cost parameter set and the ith cable laying space volume parameter set to obtain an ith cable laying arrangement optimal solution;
S133-5, repeating m periods to obtain m ith group of optimal cable laying arrangement solutions, and performing secondary screening on the m ith group of optimal cable laying arrangement solutions to obtain the optimal cable laying arrangement solutions.
Specifically, in this embodiment, the cable is laid in the indoor and outdoor cable ducts by using a rack-mounted laying method. The cable trench is a containing space for buried cabling. The cable trench deployment parameters comprise cable trench upper opening width parameters, cable trench lower opening width parameters and cable trench depth parameters, and the cable trench deployment parameters are determined according to the number of cables planned to be buried.
Illustratively, when 1-2 cables are planned to be buried in the same cable trench, the cable trench upper opening width parameter is 600mm, the cable trench lower opening width parameter is 400mm, the cable trench depth parameter is 800mm, and the average trench width is calculated according to the average value of the cable trench upper opening width parameter and the cable trench lower opening width parameter, and the average trench width (500 mm). The average groove width was increased by 170mm for each additional cable.
Meanwhile, it should be understood that when a plurality of cables are laid in the same trench, a parallel distance of 170mm for cables below 10KV is specified, and a parallel distance of 350mm for cables above 10KV is specified, wherein the parallel distance refers to a distance between cable axes of two cables.
The rated voltage of a plurality of cables planned to be buried in the same cable trench is obtained, a plurality of cable laying pipeline spacing thresholds of the plurality of cables are obtained based on the rated voltage, the cable laying pipeline spacing thresholds represent minimum values of the axial lead spacing laying of any two cables, for example, the minimum value of the axial lead spacing formed by the cable axial center above 10KV of rated voltage and any other cable axial center is 350mm.
It should be understood that when a plurality of cables are laid in the same trench, the space layout of the cable laying needs to be set, so that the workload of digging and cutting the cable trench when the plurality of cables are laid in the same trench is reduced while the operation safety of the plurality of cables is ensured.
The maximum value of the width of the upper opening of the cable trench is cable trench upper opening width data of an extreme scene which is assumed that a plurality of cables are horizontally arranged on the same plane, the maximum value of the width of the lower opening of the cable trench is cable trench lower opening width data of the extreme scene which is assumed that a plurality of cables are horizontally arranged on the same plane, and the maximum value of the depth of the cable trench is cable trench depth data of the extreme scene which is assumed that a plurality of cables are vertically arranged on the same plane.
Based on the width and depth requirements of a basic cable trench laid by 1-2 cables in the same trench, combining a plurality of cable laying pipeline spacing thresholds of a plurality of cables, and calculating to obtain the maximum width of an upper opening of the cable trench, the maximum width of a lower opening of the cable trench and the maximum depth of the cable trench.
According to the maximum width of the upper opening of the cable trench, the maximum width of the lower opening of the cable trench and the maximum depth of the cable trench, a cable laying arrangement space is constructed, the cable laying arrangement space is a cable laying space constraint when a plurality of cables are laid and arranged, and the cables can be safely arranged within the depth and width range of the cable trench constrained by the cable laying arrangement space so as to meet the spacing threshold value of the cable laying pipeline. The cable laying arrangement space is used for optimizing and obtaining a cable laying scheme with better cable laying cost and cable laying space volume and a cable trench width depth excavation scheme.
Based on the number of the cables to be laid and the distance threshold value of the cable laying pipelines corresponding to each cable to be laid, randomly selecting any cable as a first cable, and combining the distance requirement of the first cable and the cable trench wall, and simulating and placing the first cable in the cable laying arrangement space.
And randomly selecting a second cable, comparing the cable laying pipeline spacing threshold value of the first cable with the cable laying pipeline spacing threshold value of the second cable, taking the cable laying pipeline spacing threshold value with the larger value as the axial lead spacing formed by the cable axes of the first cable and the second cable, taking the first cable as the center of a circle, and taking the distance requirement of the second cable and the cable trench wall as the constraint to set the laying azimuth of the second cable around the first cable. And taking a virtual circle formed by the axial lead distance formed by the cable axes of the first cable and the second cable as a first cable-forbidden space.
And randomly selecting a third cable, comparing the cable laying pipeline spacing threshold value of the second cable with the cable laying pipeline spacing threshold value of the third cable, taking the cable laying pipeline spacing threshold value with the larger value as the axial lead spacing formed by the cable axes of the second cable and the third cable, taking the second cable as the center of a circle, taking the distance requirement of the third cable and the cable trench wall and the first prohibited cable laying space as constraints, and setting the laying azimuth of the third cable around the second cable. And taking a virtual circle formed by the axial lead distance formed by the cable axes of the second cable and the third cable as a second forbidden cable laying space.
And carrying out the arrangement of N cables to be laid in the cable laying arrangement space by adopting the same method.
Based on the randomness of the first cable to the Nth cable laying positions, the cable laying quantity and the cable laying pipeline spacing threshold value are input into the cable laying arrangement space to be arranged for N times, and preferably, non-return random arrangement is adopted to ensure that the arranged solutions cannot be arranged for the second time, so that a plurality of groups of cable laying arrangement solutions are obtained. It should be noted that the plurality of cables in the same group of cable laying arrangement solutions are placed in the cable laying arrangement space in a uniform sequence, and there is a difference in placement positions in the cable laying arrangement space.
Therefore, the method for determining the optimal solution of the cable laying arrangement in the group based on the group first comprises the following steps:
Taking the in-group cable laying arrangement optimal solution of the i-th group cable laying arrangement solution as an example, obtaining a plurality of cable laying space volume parameters (cable duct upper opening width parameters, cable duct lower opening width parameters and cable duct depth parameters) of a plurality of cable laying arrangement solutions in the i-th group cable laying arrangement solution, and forming an i-th group cable laying space volume parameter set; and calculating a plurality of cable laying costs reflecting the trench excavation cost and the cable laying cover brick cost based on the i-th group cable laying space volume parameter set, and generating an i-th group cable laying cost parameter set.
The method comprises the steps of setting a first weight for a cable laying cost parameter and setting a second weight for a cable laying space volume parameter, wherein the first weight and the second weight can be determined according to cost calculation of a cable laying engineering cost professional, and the first weight and the second weight data are different due to different cable laying regions and different traffic convenience degrees.
And removing data units in the i-th group of cabling cost parameter sets and the i-th group of cabling space volume parameter sets, and according to the first weight and the second weight, combining the i-th group of cabling cost parameter sets and the i-th group of cabling space volume parameter set data, and calculating to obtain evaluation values of a plurality of cabling arrangement solutions, wherein it is understood that the higher the value, the higher the corresponding cabling cost and the larger the cabling occupation space. And sorting the evaluation values of the plurality of cabling arrangement solutions from small to large, and screening, extracting and sorting the cabling arrangement solution with the forefront as the optimal solution of the i-th group cabling arrangement.
And repeating m periods, wherein each period corresponds to the sequence of placing a plurality of cables in the cable laying arrangement space. And (3) obtaining m ith group of optimal cable laying arrangement solutions, sorting from small to large on the evaluation values of the m ith group of optimal cable laying arrangement solutions, and extracting to obtain the optimal cable laying arrangement solution with the forefront sorting as the optimal cable laying arrangement solution.
According to the optimal solution of the cable laying arrangement, the cable duct upper opening width parameter, the cable duct lower opening width parameter and the cable duct depth parameter are designed to generate the cable duct deployment parameter optimization result, and cable duct excavation and excavation are performed based on the cable duct deployment parameter optimization result, so that the cable laying cable duct excavation cost requirement and the cable duct volume requirement can be balanced, scientificity and economical efficiency of cable duct deployment parameter setting are improved, and the technical effect of reducing dependence of cable duct deployment parameter setting on manual experience is achieved.
S200, optimizing design is carried out on the deployment parameters of the cable brackets according to the number of the cable laying, and an optimization result of the deployment parameters of the cable brackets is generated;
In one embodiment, the optimizing design is performed on the cable support deployment parameters according to the number of the cables to generate the cable support deployment parameter optimizing result, and the method step S200 provided by the application further includes:
S210, the cable support deployment parameters comprise cable support laying position parameters and cable fixing point distribution parameters;
s220, designing the parameters of the laying positions of the cable brackets according to the optimal solution of the cable laying arrangement, and obtaining the optimal result of the laying positions of the cable brackets;
s230, obtaining a cable fixing point optimization fitness function:
Wherein G represents the adaptability of any type of fixed point distribution result, J represents the jth section area in a multi-section area formed by any two adjacent fixed points after fixed point distribution, d j represents the farthest distance of deviation of a cable bracket and a cable in the jth section area, J+1 represents the total number of fixed points, J represents the total number of multi-section areas, d 0 is a deviation distance threshold, alpha and beta are bias indexes, and alpha and beta are greater than or equal to 0;
S240, optimizing the distribution parameters of the cable fixed points according to the cable fixed point optimization fitness function to generate a cable fixed point distribution optimization result;
S250, adding the cable bracket laying position optimization result and the cable fixed point distribution optimization result into the cable bracket deployment parameter optimization result.
In one embodiment, the optimizing the cable fixed point distribution parameter according to the cable fixed point optimization fitness function generates a cable fixed point distribution optimizing result, and the method step S240 provided by the present application further includes:
S241, setting a cable fixed point interval;
S242, cable fixed point distribution is carried out according to the cable fixed point interval, and a first cable fixed point distribution result is generated;
S243, carrying out deviation distance statistics according to the distribution result of the first cable fixing points, and obtaining a deviation distance statistics result;
s244, when any one deviation distance of the deviation distance statistical result is larger than or equal to the deviation distance threshold value, adding the first cable fixed point distribution result into the elimination data set;
S245, when any one deviation distance of the deviation distance statistical result is smaller than the deviation distance threshold value, processing the deviation distance statistical result according to the cable fixed point optimization fitness function to generate first cable fixed point distribution result fitness;
And S246, repeating the preset times to screen out a cable fixed point distribution result with the maximum fitness, and setting the cable fixed point distribution result as the cable fixed point distribution optimization result.
Specifically, in this embodiment, the method for laying the cable is to lay the cable in the indoor and outdoor cable trenches by burying the cable with a bracket, and when the cable is laid with the bracket, a plurality of cable brackets are used for carrying out a plurality of cable laying support, the plurality of cable brackets are mounted on two sides (double-sided brackets) or one side (single-sided brackets) in the cable trench, and a plurality of cables are correspondingly supported on the plurality of brackets, so as to complete the deployment treatment of the cable in the cable trench.
The cable support deployment parameters comprise cable support laying position parameters and cable fixing point distribution parameters. The cable support laying position parameters are relative position data of a plurality of cable supports laid and fixed in a cable trench, and the cable fixing point distribution parameters are specific position data of a plurality of fixing points of any cable safely and stably fixed on the corresponding cable support.
It should be understood that, in order to ensure the safety of laying a plurality of cables in the same trench, the relative positions of the cable cores of a plurality of cables in the cross section of any position of the same cable trench are consistent, and accordingly, the positions of the cable supports for fixing the cables in the cable trench are also fixed and depend on the laying deployment condition of the plurality of cables. Therefore, the embodiment designs the cable support laying position parameters according to the cable laying arrangement optimal solution, and obtains a cable support laying position optimization result, wherein the cable support laying position optimization result comprises a plurality of cable support laying relative position coordinates in a cable trench cross section.
It will be appreciated that if and only if the cable fixing points are located reasonably or sufficiently densely, the tension generated by any two adjacent fixing points can be ensured to be greater than or equal to the gravity generated by the cable mass between the two adjacent fixing points, so that the cable between the two fixing points is ensured not to fall off and deviate.
Therefore, in order to ensure that each cable does not drop, fall and deviate on the corresponding cable support, and the quantity of fixed points is reasonable, so that the resource waste of fixed point materials is avoided, the embodiment optimizes the distribution parameters of the cable fixed points according to the cable fixed point optimization fitness function, and generates a cable fixed point distribution optimization result, wherein the cable fixed point distribution optimization result is that any cable is stably fixed on the corresponding cable support, and the distance between any two adjacent fixed points on the fixed support is not wasted by the fixed point materials (fixed rolling belts, fixed nails and the like).
The cable fixing point optimization fitness function is as follows:
Wherein G represents the adaptability of any type of fixed point distribution result, J represents the jth section area in a multi-section area formed by any two adjacent fixed points after fixed point distribution, d j represents the farthest distance of deviation of a cable bracket and a cable in the jth section area, J+1 represents the total number of fixed points, J represents the total number of multi-section areas, d 0 is a deviation distance threshold, alpha and beta are bias indexes, and alpha and beta are greater than or equal to 0;
collecting and acquiring maximum distances between two fixed points, which are given by a plurality of workers with large cable laying experience of more than five years, of a plurality of cables on a plurality of cable brackets without falling off and deviating, further obtaining a maximum distance average value between the two fixed points, which are on the plurality of cable brackets, of the plurality of cables without falling off and deviating through average value calculation, taking the maximum distance average value as the maximum value of the cable fixed point interval of the plurality of cables, taking 0 as the minimum value of the cable fixed point interval of the plurality of cables, wherein any two fixed point intervals are in the cable fixed point interval, and theoretically, the cables do not deviate from the cable brackets.
And taking the interval of the cable fixed points as constraint, carrying out cable fixed point distribution, and generating a first cable fixed point distribution result, wherein the first cable fixed point distribution result is the set interval between two adjacent fixed points, and the first fixed point distribution result is in the interval of the cable fixed points.
And calling historical cable laying accident data, inputting a first fixed point distribution result and corresponding cable types into the historical cable laying accident data to carry out deviation distance statistics, and obtaining the repeated deviation distance data of the cable support and the cable deviation accident, which are used as the deviation distance statistics result, by adopting a fixed point setting mode of the first fixed point distribution result to fix the type of cable on the cable support.
And presetting a deviation distance threshold, wherein the deviation distance threshold is a numerical range in which the cable and the cable bracket deviate but normal use of the cable is not affected, and when any deviation distance of the deviation distance statistical result is greater than or equal to the deviation distance threshold, adding the first cable fixed point distribution result into the elimination data set. And carrying out cable fixed point distribution by taking the interval of the cable fixed points as constraint, generating a second cable fixed point distribution result, and executing the data elimination process.
Otherwise, when any one deviation distance of the deviation distance statistical result is smaller than the deviation distance threshold value, the cable fixed point optimization fitness function is called to calculate the deviation distance statistical result, and first cable fixed point distribution result fitness is generated.
And taking the interval of the cable fixed points as constraint, carrying out cable fixed point distribution, repeating the preset times, generating an N cable fixed point distribution result, and executing the data elimination and data retention function calculation processes.
And obtaining the distribution result fitness of X cable fixed points based on N times of data elimination and data retention function calculation, wherein X is more than or equal to 0 and less than or equal to N, and X is a positive integer. And sequencing the fitness of the distribution results of the X cable fixed points according to the sequence from large to small, extracting the distribution result of the fixed point corresponding to the fitness of the distribution result of the cable fixed point with the largest sequencing as the distribution optimizing result of the cable fixed point, and fixing the corresponding cable on the cable bracket based on the distribution optimizing result of the cable fixed point, so that the risk of the cable deviating from the cable bracket can be prevented.
And adding the cable bracket laying position optimization result and the cable fixed point distribution optimization result into the cable bracket deployment parameter optimization result. The cable support deployment parameter optimization result is an optimal deployment scheme of a plurality of cable supports corresponding to a plurality of cables in a cable trench, and an arbitrary two adjacent fixed point spacing scheme of each cable support for stably fixing the corresponding cable.
The embodiment realizes the optimal solution of the bracket laying of the cable laying by adopting the bracket in the cable trench and the optimal solution set by the fixed point on the cable bracket, and achieves the technical effects of improving the scientificity of the laying of the large-scale cable bracket and the generating efficiency of the laying scheme.
S300, constructing a cable trench deployment anomaly detection model based on a binary tree structure according to the cable trench deployment parameter optimization result;
In one embodiment, the method step S300 provided by the present application further includes:
S310, setting a first-level judging reference parameter according to the cable duct upper opening width parameter, wherein the deviation between the first-level judging reference parameter and the cable duct upper opening width parameter is smaller than or equal to a first-level preset allowable error;
S320, setting a second-level judging reference parameter according to the cable duct lower opening width parameter, wherein the deviation between the second-level judging reference parameter and the cable duct lower opening width parameter is smaller than or equal to a second-level preset allowable error;
s330, setting a third-level judging reference parameter according to the cable trench depth parameter, wherein the deviation between the third-level judging reference parameter and the cable trench depth parameter is smaller than or equal to a third-level preset allowable error;
S340, constructing the cable trench deployment abnormality detection model based on a binary tree according to the first-level judgment reference parameter, the second-level judgment reference parameter and the third-level judgment reference parameter.
Specifically, in this embodiment, the cable trench deployment anomaly detection model is a data deviation analysis and judgment model, which is used to judge whether a building deviation and a specific deviation value, which do not meet the cable trench deployment parameter optimization result, exist in an actual cable trench deployment scheme, where the deviation value includes a cable trench upper opening width deviation, a cable trench lower opening width deviation, and a cable trench depth deviation.
Specifically, calling a cable trench upper opening width parameter, a cable trench lower opening width parameter and a cable trench depth parameter of the cable trench deployment parameter optimization result.
The first-level preset allowable error is a fault-tolerant interval, and when the deviation between the cable duct upper opening width of the actual cable duct deployment scheme and the cable duct upper opening width parameter does not exceed the first-level preset allowable error, the cable duct upper opening width in the actual cable duct deployment scheme can be considered to be abnormal.
And setting a first-level preset allowable error and the cable pit upper opening width parameter into a first-level judging reference parameter, wherein the first-level judging reference parameter is a data range, and the deviation between the first-level judging reference parameter and the cable pit upper opening width parameter is smaller than or equal to the first-level preset allowable error.
And the second-level preset allowable error is a fault-tolerant interval, and when the deviation between the cable duct lower opening width of the actual cable duct deployment scheme and the cable duct lower opening width parameter does not exceed the second-level preset allowable error, the cable duct lower opening width in the actual cable duct deployment scheme can be considered to be abnormal.
And setting a second-level preset allowable error and the cable pit lower opening width parameter into a second-level judging reference parameter, wherein the second-level judging reference parameter is a data range, and the deviation between the second-level judging reference parameter and the cable pit lower opening width parameter is smaller than or equal to the second-level preset allowable error.
And the third-level preset allowable error is a fault-tolerant interval, and when the deviation between the cable trench depth of the actual cable trench deployment scheme and the cable trench depth parameter does not exceed the third-level preset allowable error, the cable trench depth in the actual cable trench deployment scheme can be considered to be abnormal.
And setting a third-level preset allowable error and the cable trench depth parameter into a third-level judging reference parameter, wherein the third-level judging reference parameter is a data range, and the deviation between the third-level judging reference parameter and the cable trench depth parameter is smaller than or equal to the third-level preset allowable error.
And constructing the cable duct deployment anomaly detection model based on a binary tree. The cable trench deployment anomaly detection model specifically comprises three levels. Constructing a first level according to the first level judging reference parameters, wherein the first level is used for judging whether the width of the upper opening of the cable trench in the cable trench deployment scheme of the cable installation scheme is abnormal or not; constructing a second level according to the second level judging reference parameters, wherein the second level is used for judging whether the width of a cable trench lower opening in a cable trench deployment scheme of the cable installation scheme is abnormal or not; and constructing a third level according to the third level judging reference parameter, wherein the third level is used for judging whether the cable trench depth in the cable trench deployment scheme of the cable installation scheme is abnormal or not.
The first-level judging result comprises two identical second levels which are respectively deployed based on the two judging results of the first level, wherein the second-level judging result comprises the two identical second levels which are respectively deployed based on the four abnormal results of the second level, and the first level judging result comprises the four identical third levels which are respectively deployed based on the four abnormal results of the second level, and the construction of the cable trench deployment abnormality detection model is completed based on the level setting.
According to the cable trench deployment anomaly detection method, the cable trench deployment anomaly detection model is built, a judgment reference is provided for judging whether the cable trench deployment scheme in the actual cable installation scheme is abnormal, and meanwhile the technical effects of accuracy and instantaneity of anomaly identification judgment are improved.
S300, constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result;
Specifically, in this embodiment, the cable support deployment abnormality detection model is configured to determine whether an abnormality exists in a cable support deployment scheme in an actual cable installation scheme, and specifically determine whether an abnormality exists in a cable support laying position and a cable fixing point distribution interval.
According to the cable support deployment parameter optimization result, a cable support deployment abnormality detection model is constructed based on a binary tree structure, and the construction method of the cable support deployment abnormality detection model is consistent with construction logic and use of the cable trench deployment abnormality detection model, and the embodiment is not described in detail herein.
S500, acquiring a cable installation scheme, wherein the cable installation scheme comprises a cable duct deployment scheme and a cable bracket deployment scheme;
s600, inputting the cable pit deployment scheme into the cable pit deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result;
Specifically, in the present embodiment, a cable installation scheme is acquired, which includes a cable trench deployment scheme and a cable bracket deployment scheme.
The cable trench deployment scheme specifically comprises cable trench upper opening width data, cable trench lower opening width data and cable trench depth data, the cable trench deployment scheme is input into the cable trench deployment abnormality detection model, a first abnormality detection result is obtained, and the first abnormality detection result comprises any one or more of the cable trench upper opening width data, the cable trench lower opening width data and the cable trench depth data.
The cable support deployment scheme specifically comprises cable support laying position coordinates and cable fixed point distribution interval data, the cable support deployment scheme is input into the cable support deployment abnormality detection model, and a second abnormality detection result is obtained, wherein the second abnormality detection result comprises one or two of unreasonable cable support laying positions and overlarge/narrowness cable fixed point distribution intervals.
And S700, correcting the cable installation scheme according to the first abnormality detection result and the second abnormality detection result.
Specifically, in this embodiment, the standard value in the corresponding cable trench deployment parameter optimization result is reversely obtained according to the first anomaly detection result to replace the anomaly value in the first anomaly detection result, the standard value in the corresponding cable bracket deployment parameter optimization result is reversely obtained according to the second anomaly detection result to replace the anomaly value in the second anomaly detection result, the anomaly defect correction of the cable installation scheme is completed by replacing the anomaly value with the standard value, the bracket same-trench deployment of a plurality of cables is performed based on the corrected cable installation scheme, so that the cable installation cost can be reasonably controlled while the safe operation after the completion of the cable deployment is ensured, the dependence of the cable installation and the installation decision on the manual experience is reduced, the scientificity and timeliness of the obtained large cable installation decision are improved, and the technical effect of improving the large cable installation efficiency is indirectly realized.
In one embodiment, as shown in fig. 3, there is provided a smart cable installation process correction system comprising: the system comprises an optimization result obtaining module 1, an optimization design executing module 2, a detection model constructing module 3, a detection model generating module 4, an installation scheme obtaining module 5, a detection result obtaining module 6 and an installation scheme correcting module 7, wherein:
the optimization result obtaining module 1 is used for optimally designing cable trench deployment parameters according to the number of the cables laid, and generating cable trench deployment parameter optimization results;
The optimal design execution module 2 is used for optimally designing the deployment parameters of the cable brackets according to the number of the cable laying and generating an optimal result of the deployment parameters of the cable brackets;
The detection model construction module 3 is used for constructing a cable duct deployment anomaly detection model based on a binary tree structure according to the cable duct deployment parameter optimization result;
The detection model generation module 4 is used for constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result;
the installation scheme obtaining module 5 is used for obtaining a cable installation scheme, wherein the cable installation scheme comprises a cable trench deployment scheme and a cable bracket deployment scheme;
the detection result obtaining module 6 is used for inputting the cable pit deployment scheme into the cable pit deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result;
And a mounting scheme correction module 7 for correcting the cable mounting scheme according to the first abnormality detection result and the second abnormality detection result.
In one embodiment, the system further comprises:
the cable trench deployment parameter obtaining unit is used for obtaining cable trench deployment parameters including cable trench upper opening width parameters, cable trench lower opening width parameters and cable trench depth parameters;
The distance threshold value obtaining unit is used for obtaining a distance threshold value of the cable laying pipeline, wherein the distance threshold value of the cable laying pipeline represents a minimum distance laying value of any two cable axial leads;
And the optimization result obtaining unit is used for optimally designing the cable trench upper opening width parameter, the cable trench lower opening width parameter and the cable trench depth parameter according to the cable laying quantity and the cable laying pipeline spacing threshold value, and generating the cable trench deployment parameter optimization result.
In one embodiment, the system further comprises:
The width extremum obtaining unit is used for obtaining the maximum width of the upper opening of the cable trench, the maximum width of the lower opening of the cable trench and the maximum depth of the cable trench;
An arrangement space construction unit, configured to construct a cable laying arrangement space according to the maximum cable trench upper opening width, the maximum cable trench lower opening width, and the maximum cable trench depth;
the arrangement space screening unit is used for inputting the cable laying quantity and the cable laying pipeline spacing threshold value into the cable laying arrangement space to carry out random arrangement screening so as to obtain an optimal solution of cable laying arrangement;
And the optimization result generation unit is used for designing the cable trench upper opening width parameter, the cable trench lower opening width parameter and the cable trench depth parameter according to the optimal solution of the cable laying arrangement to generate the cable trench deployment parameter optimization result.
In one embodiment, the system further comprises:
The random arrangement execution unit is used for inputting the cable laying quantity and the cable laying pipeline spacing threshold value into the cable laying arrangement space to carry out non-return random arrangement for n times, and obtaining an ith group of cable laying arrangement solutions, wherein the non-return random arrangement means that the arranged solutions cannot be arranged for the second time;
The data traversing execution unit is used for traversing the ith group of cabling arrangement solutions to obtain an ith group of cabling cost parameter sets and an ith group of cabling space volume parameter sets;
The parameter weight assignment unit is used for setting a first weight for the cable laying cost parameter and a second weight for the cable laying space volume parameter;
the optimal solution obtaining unit is used for screening the i-th group of cable laying arrangement solutions according to the first weight and the second weight and combining the i-th group of cable laying cost parameter set and the i-th group of cable laying space volume parameter set to obtain an i-th group of cable laying arrangement optimal solution;
And the optimal solution screening unit is used for repeating m periods to obtain m ith group of optimal solution of the cable laying arrangement, and performing secondary screening on the m ith group of optimal solution of the cable laying arrangement to obtain the optimal solution of the cable laying arrangement.
In one embodiment, the system further comprises:
The deployment parameter acquisition unit is used for acquiring the deployment parameters of the cable support, wherein the deployment parameters of the cable support comprise the laying position parameters of the cable support and the distribution parameters of cable fixing points;
The optimizing result obtaining unit is used for designing the laying position parameters of the cable support according to the optimal solution of the cable laying arrangement and obtaining the optimizing result of the laying position of the cable support;
the fitness function construction unit is used for acquiring the cable fixed point optimization fitness function:
Wherein G represents the adaptability of any type of fixed point distribution result, J represents the jth section area in a multi-section area formed by any two adjacent fixed points after fixed point distribution, d j represents the farthest distance of deviation of a cable bracket and a cable in the jth section area, J+1 represents the total number of fixed points, J represents the total number of multi-section areas, d 0 is a deviation distance threshold, alpha and beta are bias indexes, and alpha and beta are greater than or equal to 0;
The fitness function application unit is used for optimizing the distribution parameters of the cable fixed points according to the cable fixed point optimization fitness function to generate a cable fixed point distribution optimization result;
And the optimizing result input unit is used for adding the cable support laying position optimizing result and the cable fixed point distribution optimizing result into the cable support deployment parameter optimizing result.
In one embodiment, the system further comprises:
The interval setting unit is used for setting an interval of the cable fixed points;
The fixed point distribution execution unit is used for carrying out cable fixed point distribution according to the cable fixed point interval and generating a first cable fixed point distribution result;
the deviation distance statistics unit is used for carrying out deviation distance statistics according to the distribution result of the first cable fixed points and obtaining deviation distance statistics results;
The data elimination judging unit is used for adding the first cable fixed point distribution result into an elimination data set when any one deviation distance of the deviation distance statistical result is greater than or equal to the deviation distance threshold value;
The fitness obtaining unit is used for processing the deviation distance statistical result according to the cable fixed point optimization fitness function when any deviation distance of the deviation distance statistical result is smaller than the deviation distance threshold value, and generating first cable fixed point distribution result fitness;
and the fitness comparison unit is used for repeatedly screening out a cable fixed point distribution result with the maximum fitness value for a preset number of times, and setting the cable fixed point distribution result as the cable fixed point distribution optimization result.
In one embodiment, the system further comprises:
the reference parameter setting unit is used for setting a first-level judging reference parameter according to the cable duct upper opening width parameter, wherein the deviation between the first-level judging reference parameter and the cable duct upper opening width parameter is smaller than or equal to a first-level preset allowable error;
The reference parameter setting unit is used for setting a second-level judging reference parameter according to the cable duct lower opening width parameter, wherein the deviation between the second-level judging reference parameter and the cable duct lower opening width parameter is smaller than or equal to a second-level preset allowable error;
The reference parameter definition unit is used for setting a third-level judgment reference parameter according to the cable trench depth parameter, wherein the deviation between the third-level judgment reference parameter and the cable trench depth parameter is smaller than or equal to a third-level preset allowable error;
the detection model construction unit is used for constructing the cable duct deployment abnormity detection model based on a binary tree according to the first-level judgment reference parameter, the second-level judgment reference parameter and the third-level judgment reference parameter.
For a specific embodiment of the installation process correction system for a smart cable, reference may be made to the above embodiment of the installation process correction method for a smart cable, which is not described herein. The above-described respective modules in the installation process correction system for a smart cable may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for correcting an installation process of a smart cable.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: optimizing the cable trench deployment parameters according to the cable laying quantity to generate cable trench deployment parameter optimizing results; optimizing design is carried out on the deployment parameters of the cable brackets according to the number of the cable laying, and an optimization result of the deployment parameters of the cable brackets is generated; constructing a cable trench deployment anomaly detection model based on a binary tree structure according to the cable trench deployment parameter optimization result; constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result; acquiring a cable installation scheme, wherein the cable installation scheme comprises a cable pit deployment scheme and a cable bracket deployment scheme; inputting the cable duct deployment scheme into the cable duct deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result; and correcting the cable installation scheme according to the first abnormality detection result and the second abnormality detection result.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.

Claims (7)

1. A method for correcting an installation process of a smart cable, comprising:
optimizing the cable trench deployment parameters according to the cable laying quantity to generate cable trench deployment parameter optimizing results;
Optimizing design is carried out on the deployment parameters of the cable brackets according to the number of the cable laying, and an optimization result of the deployment parameters of the cable brackets is generated;
constructing a cable trench deployment anomaly detection model based on a binary tree structure according to the cable trench deployment parameter optimization result;
Constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result;
acquiring a cable installation scheme, wherein the cable installation scheme comprises a cable pit deployment scheme and a cable bracket deployment scheme;
Inputting the cable duct deployment scheme into the cable duct deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result;
Correcting the cable installation scheme according to the first abnormality detection result and the second abnormality detection result;
The optimizing design is carried out on the cable trench deployment parameters according to the cable laying quantity, and a cable trench deployment parameter optimizing result is generated, which comprises the following steps:
the cable trench deployment parameters comprise cable trench upper opening width parameters, cable trench lower opening width parameters and cable trench depth parameters;
Obtaining a cable laying pipeline spacing threshold, wherein the cable laying pipeline spacing threshold represents a minimum laying value of any two cable axial lead spacing;
According to the cable laying quantity and the cable laying pipeline spacing threshold, optimizing and designing the cable duct upper opening width parameter, the cable duct lower opening width parameter and the cable duct depth parameter to generate an optimizing result of the cable duct deployment parameter;
According to the cable laying number and the cable laying pipeline spacing threshold, optimally designing the cable trench upper opening width parameter, the cable trench lower opening width parameter and the cable trench depth parameter, and generating a cable trench deployment parameter optimization result, wherein the cable trench deployment parameter optimization result comprises the following steps:
obtaining the maximum width of the upper opening of the cable duct, the maximum width of the lower opening of the cable duct and the maximum depth of the cable duct;
Constructing a cable laying arrangement space according to the maximum width of the upper opening of the cable trench, the maximum width of the lower opening of the cable trench and the maximum depth of the cable trench;
inputting the cable laying quantity and the cable laying pipeline spacing threshold value into the cable laying arrangement space for random arrangement screening to obtain an optimal solution of cable laying arrangement;
Designing the cable duct upper opening width parameter, the cable duct lower opening width parameter and the cable duct depth parameter according to the cable laying arrangement optimal solution to generate the cable duct deployment parameter optimization result;
Inputting the cable laying quantity and the cable laying pipeline spacing threshold value into the cable laying arrangement space for random arrangement screening, and obtaining an optimal solution of cable laying arrangement, comprising:
Inputting the number of cabling and the spacing threshold of the cabling pipelines into the cabling arrangement space for non-return random arrangement for n times to obtain an ith group of cabling arrangement solutions, wherein the non-return random arrangement means that the solutions which are arranged are not arranged for the second time;
traversing the ith group of cable laying arrangement solutions to obtain an ith group of cable laying cost parameter sets and an ith group of cable laying space volume parameter sets;
setting a first weight for the cable laying cost parameter and a second weight for the cable laying space volume parameter;
According to the first weight and the second weight, the i-th group cabling arrangement solution is screened by combining the i-th group cabling cost parameter set and the i-th group cabling space volume parameter set, and an i-th group cabling arrangement optimal solution is obtained;
and repeating m periods to obtain m ith group of cable laying arrangement optimal solutions, and performing secondary screening on the m ith group of cable laying arrangement optimal solutions to obtain the cable laying arrangement optimal solutions.
2. The method of claim 1, wherein optimizing the cable rack deployment parameters according to the number of cabling runs to generate cable rack deployment parameter optimization results comprises:
The cable support deployment parameters comprise cable support laying position parameters and cable fixing point distribution parameters;
designing the parameters of the laying positions of the cable brackets according to the optimal solution of the cable laying arrangement, and obtaining the optimal result of the laying positions of the cable brackets;
Obtaining a cable fixing point optimization fitness function:
Wherein G represents the adaptability of any type of fixed point distribution result, J represents the jth section area in a multi-section area formed by any two adjacent fixed points after fixed point distribution, d j represents the farthest distance of deviation of a cable bracket and a cable in the jth section area, J+1 represents the total number of fixed points, J represents the total number of multi-section areas, d 0 is a deviation distance threshold, alpha and beta are bias indexes, and alpha and beta are greater than or equal to 0;
Optimizing the distribution parameters of the cable fixed points according to the cable fixed point optimization fitness function to generate a cable fixed point distribution optimization result;
and adding the cable bracket laying position optimization result and the cable fixed point distribution optimization result into the cable bracket deployment parameter optimization result.
3. The method of claim 2, wherein optimizing the cable anchor point distribution parameters according to the cable anchor point optimization fitness function generates cable anchor point distribution optimization results comprising:
Setting a cable fixed point interval;
performing cable fixed point distribution according to the cable fixed point interval to generate a first cable fixed point distribution result;
carrying out deviation distance statistics according to the distribution result of the first cable fixing points, and obtaining a deviation distance statistics result;
When any one deviation distance of the deviation distance statistical result is larger than or equal to the deviation distance threshold value, adding the first cable fixed point distribution result into the elimination data set;
When any one deviation distance of the deviation distance statistical result is smaller than the deviation distance threshold value, processing the deviation distance statistical result according to the cable fixed point optimization fitness function to generate first cable fixed point distribution result fitness;
and repeating the preset times to screen out a cable fixed point distribution result with the maximum fitness, and setting the cable fixed point distribution result as the cable fixed point distribution optimization result.
4. The method of claim 1, wherein constructing a cable trough deployment anomaly detection model based on a binary tree structure according to the cable trough deployment parameter optimization result comprises:
setting a first-level judging reference parameter according to the cable duct upper opening width parameter, wherein the deviation between the first-level judging reference parameter and the cable duct upper opening width parameter is smaller than or equal to a first-level preset allowable error;
Setting a second-level judging reference parameter according to the cable duct lower opening width parameter, wherein the deviation between the second-level judging reference parameter and the cable duct lower opening width parameter is smaller than or equal to a second-level preset allowable error;
setting a third-level judging reference parameter according to the cable duct depth parameter, wherein the deviation between the third-level judging reference parameter and the cable duct depth parameter is smaller than or equal to a third-level preset allowable error;
And constructing the cable duct deployment abnormality detection model based on a binary tree according to the first-level judgment reference parameter, the second-level judgment reference parameter and the third-level judgment reference parameter.
5. A smart cable installation process calibration system, comprising:
the optimization result obtaining module is used for optimally designing the cable trench deployment parameters according to the number of the cables to be laid, and generating cable trench deployment parameter optimization results;
The optimal design execution module is used for optimally designing the deployment parameters of the cable brackets according to the number of the cables to be laid and generating an optimal result of the deployment parameters of the cable brackets;
The detection model construction module is used for constructing a cable duct deployment abnormality detection model based on a binary tree structure according to the cable duct deployment parameter optimization result;
The detection model generation module is used for constructing a cable bracket deployment abnormality detection model based on a binary tree structure according to the cable bracket deployment parameter optimization result;
the installation scheme obtaining module is used for obtaining a cable installation scheme, wherein the cable installation scheme comprises a cable trench deployment scheme and a cable bracket deployment scheme;
The detection result obtaining module is used for inputting the cable pit deployment scheme into the cable pit deployment abnormality detection model to obtain a first abnormality detection result; inputting the cable support deployment scheme into the cable support deployment abnormality detection model to obtain a second abnormality detection result;
The installation scheme correction module is used for correcting the cable installation scheme according to the first abnormality detection result and the second abnormality detection result;
The system further comprises:
the cable trench deployment parameter obtaining unit is used for obtaining cable trench deployment parameters including cable trench upper opening width parameters, cable trench lower opening width parameters and cable trench depth parameters;
The distance threshold value obtaining unit is used for obtaining a distance threshold value of the cable laying pipeline, wherein the distance threshold value of the cable laying pipeline represents a minimum distance laying value of any two cable axial leads;
the optimizing result obtaining unit is used for optimizing and designing the cable trench upper opening width parameter, the cable trench lower opening width parameter and the cable trench depth parameter according to the cable laying quantity and the cable laying pipeline spacing threshold value, and generating the cable trench deployment parameter optimizing result;
The width extremum obtaining unit is used for obtaining the maximum width of the upper opening of the cable trench, the maximum width of the lower opening of the cable trench and the maximum depth of the cable trench;
An arrangement space construction unit, configured to construct a cable laying arrangement space according to the maximum cable trench upper opening width, the maximum cable trench lower opening width, and the maximum cable trench depth;
the arrangement space screening unit is used for inputting the cable laying quantity and the cable laying pipeline spacing threshold value into the cable laying arrangement space to carry out random arrangement screening so as to obtain an optimal solution of cable laying arrangement;
The optimization result generating unit is used for designing the cable trench upper opening width parameter, the cable trench lower opening width parameter and the cable trench depth parameter according to the optimal solution of the cable laying arrangement, and generating the cable trench deployment parameter optimization result;
The random arrangement execution unit is used for inputting the cable laying quantity and the cable laying pipeline spacing threshold value into the cable laying arrangement space to carry out non-return random arrangement for n times, and obtaining an ith group of cable laying arrangement solutions, wherein the non-return random arrangement means that the arranged solutions cannot be arranged for the second time;
The data traversing execution unit is used for traversing the ith group of cabling arrangement solutions to obtain an ith group of cabling cost parameter sets and an ith group of cabling space volume parameter sets;
The parameter weight assignment unit is used for setting a first weight for the cable laying cost parameter and a second weight for the cable laying space volume parameter;
the optimal solution obtaining unit is used for screening the i-th group of cable laying arrangement solutions according to the first weight and the second weight and combining the i-th group of cable laying cost parameter set and the i-th group of cable laying space volume parameter set to obtain an i-th group of cable laying arrangement optimal solution;
And the optimal solution screening unit is used for repeating m periods to obtain m ith group of optimal solution of the cable laying arrangement, and performing secondary screening on the m ith group of optimal solution of the cable laying arrangement to obtain the optimal solution of the cable laying arrangement.
6. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 4.
CN202310401412.5A 2023-04-15 2023-04-15 Intelligent cable installation process correction method and system Active CN116505435B (en)

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