CN115859701A - Cable detection data-based incremental analysis method and system - Google Patents
Cable detection data-based incremental analysis method and system Download PDFInfo
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Abstract
The invention discloses an adding analysis method and system based on cable detection data, and relates to the field of data processing, wherein the method comprises the following steps: the preset channel cable detection data comprises daily current load detection data; extracting a peak value according to the daily current load detection data to obtain a daily current load peak value; performing daily current load maximum value analysis according to the distribution information of the cable arrangement pipes to generate a daily current load threshold value; judging whether the daily current load peak value meets the daily current load threshold value; if the preset design instruction does not meet the preset design instruction, generating a first design instruction, and performing cable adding analysis based on the distribution information of the spare pipes to generate a cable adding scheme; and carrying out cable adding management according to a cable adding scheme. The problem of among the prior art to the accurate not enough of add analysis of cable, and then cause the not good technical problem of add management effect of cable is solved. The accuracy and the adaptation degree of cable adding analysis are improved, and the technical effects of improving cable adding management quality and the like are achieved.
Description
Technical Field
The invention relates to the field of data processing, in particular to an incremental analysis method and system based on cable detection data.
Background
With the increasing of the power load, the demand of cable adding management is increasing. The traditional cable adding management usually depends on manual experience judgment, and the problems of low cable adding management efficiency, poor precision, low automation level and the like exist. Meanwhile, the running environment of the cable is continuously developed towards diversification and complication, and the difficulty of cable addition management is increasingly high. How to realize high-quality cable extension management is widely concerned by people.
In the prior art, the problem that the adding analysis accuracy of the cable is not enough, and then the adding management effect of the cable is not good is solved.
Disclosure of Invention
The application provides a cable detection data-based incremental analysis method and system. The problem of among the prior art to the accurate not enough of add analysis of cable, and then cause the not good technical problem of add management effect of cable is solved. The intelligent, efficient and comprehensive multi-dimensional adding analysis is carried out on the cable detection data, the accuracy and the adaptation degree of the adding analysis of the cable are improved, the adding management quality of the cable is improved, the waste of resources such as manpower and material resources caused by adding management of the cable is reduced, and the adding management cost of the cable is reduced.
In view of the foregoing, the present application provides a cable inspection data-based incremental analysis method and system.
In a first aspect, the present application provides a cable inspection data-based add-on analysis method, where the method is applied to a cable inspection data-based add-on analysis system, and the method includes: acquiring preset channel cable detection data, wherein the preset channel cable detection data comprises daily current load detection data; extracting a peak value according to the daily current load detection data to obtain a daily current load peak value; acquiring preset channel cable duct bank distribution information, wherein the preset channel cable duct bank distribution information comprises cabling duct bank distribution information and standby duct bank distribution information; performing daily current load maximum value analysis according to the distribution information of the cable arrangement pipes to generate a daily current load threshold value; judging whether the daily current load peak value meets the daily current load threshold value or not; if the standby calandria distribution information does not meet the requirement, generating a first design instruction, and performing cable adding analysis based on the standby calandria distribution information to generate a cable adding scheme; and carrying out cable extension management according to the cable extension scheme.
In a second aspect, the present application further provides an add-on analysis system based on cable detection data, wherein the system includes: the device comprises a detection data acquisition module, a data processing module and a data processing module, wherein the detection data acquisition module is used for acquiring preset channel cable detection data, and the preset channel cable detection data comprises daily current load detection data; the peak value extraction module is used for extracting a peak value according to the daily current load detection data to obtain a daily current load peak value; the distribution information acquisition module is used for acquiring preset channel cable duct bank distribution information, wherein the preset channel cable duct bank distribution information comprises cabling duct bank distribution information and standby duct bank distribution information; the maximum value analysis module is used for carrying out maximum value analysis on daily current load according to the distribution information of the cable laying pipes to generate a daily current load threshold value; the judging module is used for judging whether the daily current load peak value meets the daily current load threshold value; the cable adding analysis module is used for generating a first design instruction if the design instruction is not met, and performing cable adding analysis based on the spare pipe arrangement distribution information to generate a cable adding scheme; and the cable adding management module is used for carrying out cable adding management according to the cable adding scheme.
In a third aspect, the present application further provides an electronic device, including: a memory for storing executable instructions; and the processor is used for realizing the incremental analysis method based on the cable detection data when the executable instructions stored in the memory are executed.
In a fourth aspect, the present application further provides a computer-readable storage medium storing a computer program, which when executed by a processor, implements the incremental analysis method based on cable detection data provided by the present application.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the peak value of the daily current load is obtained by extracting the peak value of the daily current load detection data; performing daily current load maximum value analysis according to the distribution information of the cable arrangement pipes to generate a daily current load threshold value; judging whether the daily current load peak value meets the daily current load threshold value; if the preset design instruction is not satisfied, generating a first design instruction, performing cable adding analysis based on the distribution information of the spare pipe array, generating a cable adding scheme, and performing cable adding management according to the cable adding scheme. The intelligent, efficient and comprehensive multi-dimensional adding analysis is carried out on the cable detection data, the accuracy and the adaptation degree of the adding analysis of the cable are improved, the adding management quality of the cable is improved, the waste of resources such as manpower and material resources caused by adding management of the cable is reduced, and the adding management cost of the cable is reduced.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
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To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly described below. It is to be expressly understood that the drawings in the following description are directed to only some embodiments of the disclosure and are not intended as limitations of the disclosure.
FIG. 1 is a schematic flow chart of an incremental analysis method based on cable test data according to the present application;
FIG. 2 is a schematic flow chart of a method for incremental analysis based on cable test data for obtaining a peak daily current load according to the present application;
FIG. 3 is a schematic structural diagram of an incremental analysis system based on cable test data according to the present application;
fig. 4 is a schematic structural diagram of an exemplary electronic device of the present application.
Description of the reference numerals: the system comprises a detection data acquisition module 11, a peak value extraction module 12, a distribution information acquisition module 13, a maximum value analysis module 14, a judgment module 15, a cable addition analysis module 16, a cable addition management module 17, a processor 31, a memory 32, an input device 33 and an output device 34.
Detailed Description
The application provides a cable detection data-based incremental analysis method and system. The problem of among the prior art to the accurate not enough of add analysis of cable, and then cause the not good technical problem of add management effect of cable is solved. The intelligent, efficient and comprehensive multi-dimensional adding analysis is carried out on the cable detection data, the accuracy and the adaptation degree of the adding analysis of the cable are improved, the adding management quality of the cable is improved, the waste of resources such as manpower and material resources caused by adding management of the cable is reduced, and the adding management cost of the cable is reduced.
Example one
Referring to fig. 1, the present application provides an incremental analysis method based on cable detection data, where the method is applied to an incremental analysis system based on cable detection data, and the method specifically includes the following steps:
step S100: acquiring preset channel cable detection data, wherein the preset channel cable detection data comprises daily current load detection data;
step S200: extracting a peak value according to the daily current load detection data to obtain a daily current load peak value;
further, as shown in fig. 2, step S200 of the present application further includes:
step S210: extracting a plurality of daily current load peak values of a preset time zone from the daily current load detection data;
step S220: traversing the multiple daily current load peak values to obtain multiple trigger frequency parameters;
step S230: carrying out weight distribution on the daily current load peaks according to the trigger frequency parameters to obtain a weight distribution result;
step S240: and carrying out weighted summation on the plurality of daily current load peak values according to the weight distribution result to generate the daily current load peak value.
Specifically, preset channel cable detection data are collected, and the preset channel cable detection data comprise daily current load detection data. And extracting a plurality of daily current load peak values of a preset time zone from the daily current load detection data. Further, frequency statistics is carried out on the current load peak values of a plurality of days, and a plurality of trigger frequency parameters are obtained. And carrying out weight setting on the multiple daily current load peak values according to the multiple trigger frequency parameters to obtain a weight distribution result. And carrying out weighted summation on the plurality of daily current load peak values according to the weight distribution result to obtain the daily current load peak value. Wherein the daily current load detection data comprises a plurality of daily current load peak values of a preset time zone. The preset time zone includes a plurality of historical time points. That is, the daily current load detection data includes a plurality of daily current load history peaks corresponding to a plurality of history time points. The plurality of trigger frequency parameters includes a frequency parameter of occurrence of each of a plurality of daily current load peaks. The weight distribution result comprises a plurality of peak weight parameters corresponding to a plurality of daily current load peaks. The plurality of peak weight parameters includes a plurality of trigger frequency parameters.
Illustratively, when the daily current load peak value is obtained, the plurality of daily current load peak values include a daily current load peak value a and a daily current load peak value B. In the weight distribution result, the peak weight parameter corresponding to the daily current load peak value a is a, and the peak weight parameter corresponding to the daily current load peak value B is B. And multiplying the daily current load peak value A and the peak weight parameter a to obtain a first weighted peak value. And multiplying the daily current load peak value B by the peak weight parameter B to obtain a second weighted peak value. And outputting the sum of the first weighted peak value and the second weighted peak value as a daily current load peak value.
The technical effect that accurate daily current load peak values are obtained by performing multi-dimensional peak value analysis on the preset channel cable detection data is achieved, and accordingly reliability of cable adding management is improved.
Step S300: acquiring preset channel cable duct bank distribution information, wherein the preset channel cable duct bank distribution information comprises cabling duct bank distribution information and standby duct bank distribution information;
step S400: performing daily current load maximum value analysis according to the distribution information of the cable arrangement pipes to generate a daily current load threshold value;
further, step S400 of the present application further includes:
step S410: traversing the distribution information of the cable arrangement pipe to obtain cable parameter information and cable distribution position information;
step S420: acquiring cable model information according to the cable parameter information;
step S430: the preset channel cable detection data also comprises cabling duct environmental information;
step S440: and inputting the cable model information, the cable distribution position information and the cabling pipe arrangement environment information into a daily current load most-value matching database to obtain the daily current load threshold value.
Specifically, the preset channel cable duct bank distribution information includes cabling duct bank distribution information and spare duct bank distribution information. And extracting the cable parameter information and the cable distribution position information from the cable arrangement pipe distribution information. And extracting the cable model information from the cable parameter information. Furthermore, the preset channel cable detection data also comprises cabling duct pipe environment information. And inputting the cable model information, the cable distribution position information and the cabling pipe arrangement environment information as output information into a daily current load most-matched database to obtain a daily current load threshold.
The distribution information of the cable arrangement pipes comprises cable parameter information and cable distribution position information. The cable parameter information includes cable model information. The cable model information includes specification and model parameters of a plurality of laid cables. The cable distribution position information includes a layout position parameter of the plurality of laid cables. The environment information of the cable arrangement pipe comprises environment temperature information, soil thermal resistance information and the like corresponding to a plurality of laid cables. The daily current load maximum matching database comprises a plurality of groups of maximum matching data. The multiple sets of most-valued matching data comprise multiple sets of matching requirements and multiple sets of matching results. Namely, each set of the most-value matching data comprises historical cable model information, historical cable distribution position information, historical cable laying pipe arrangement environment information and historical daily current load threshold values. Historical cable model information, historical cable distribution position information and historical cable laying pipe arrangement environment information serve as matching requirements, and a historical daily current load threshold value serves as a matching result. Illustratively, the cable model information, the cable distribution position information, and the cabling duct bank environment information are set as the requirement matching conditions when the daily current load threshold is obtained. And taking the requirement matching condition as input information, inputting the daily current load most value matching database, and evaluating the matching degree of the requirement matching condition and multiple groups of matching requirements to obtain multiple matching indexes. The higher the degree of similarity between the requirement matching condition and the matching requirement, the larger the corresponding matching index. And outputting the matching result corresponding to the maximum matching index in the plurality of matching indexes as the daily current load threshold. The technical effects that the cable model information, the cable distribution position information and the cable laying pipe arrangement environment information are analyzed and matched through the daily current load most value matching database to obtain the accurate daily current load threshold value, and therefore the adaptability of cable adding analysis is improved are achieved.
Step S500: judging whether the daily current load peak value meets the daily current load threshold value;
step S600: if the standby pipe arrangement information does not meet the requirement, generating a first design instruction, and performing cable arrangement analysis based on the standby pipe arrangement distribution information to generate a cable arrangement scheme;
further, step S600 of the present application further includes:
step S610: performing deviation analysis on the daily current load peak value and the daily current load threshold value to obtain added current-carrying deviation;
step S620: setting a constraint interval of the added quantity of the cables according to the added current-carrying deviation;
step S630: traversing the constraint interval of the added number of the cables to obtain the added number of the ith cable;
specifically, whether the daily current load peak value meets the daily current load threshold value or not is judged, if the daily current load peak value does not meet the daily current load threshold value, a first design instruction is obtained, and cable adding analysis is carried out according to the distribution information of the spare pipe arrangement. The first design instruction is instruction information used for representing that the daily current load peak value does not meet the daily current load threshold value and cable adding analysis is required to be carried out on the distribution information of the spare pipe arrangement. And further, calculating the difference value of the daily current load peak value and the daily current load threshold value to obtain the added current carrying deviation. The added current-carrying deviation comprises information of a difference value between a daily current load peak value and a daily current load threshold value. And then, comprehensively analyzing the added current-carrying deviation and the added cable cost by a plurality of cable adding analysis experts, and setting a cable adding quantity constraint interval. The cable number increase constraint section includes a plurality of preset cable number increases. The larger the incremental current-carrying deviation is, the larger the corresponding incremental number of the preset cables is. And sequentially setting the adding quantity of a plurality of preset cables in the cable adding quantity constraint interval as the adding quantity of the ith cable. The added number of the ith cable is the added number of a plurality of preset cables in the constrained interval of the added number of the cables in sequence. The technical effects that whether the daily current load peak value meets the daily current load threshold value or not is judged, the first design instruction is generated adaptively, cable adding analysis is carried out according to the first design instruction, and therefore the adaptability of cable adding management is improved are achieved.
Step 640: and according to the number of the added ith cables, performing cable addition analysis based on the distribution information of the spare pipes to generate a cable addition scheme.
Further, step S640 of the present application further includes:
step S641: performing cable adding analysis according to the added ith cable number and the distribution information of the spare pipes to generate an added ith cable number optimal scheme, wherein the added ith cable number optimal scheme comprises the added ith cable number optimal scheme fitness;
further, step S641 further includes:
step S6411: randomly distributing according to the number of the ith cable to be additionally arranged and the distribution information of the spare pipes to generate a jth cable to be additionally arranged;
specifically, the ith cable increase number and the spare pipe arrangement distribution information are randomly combined to obtain a jth cable increase distribution scheme. The standby pipe arrangement distribution information comprises a plurality of distribution position parameters corresponding to a plurality of standby pipe arrangements. The plurality of spare gauntlets comprises a plurality of channels for cables to be laid. The j cable adding distribution scheme comprises the added number of the i cable, cable adding distribution positions corresponding to the added number of the i cable, cable distance parameters after adding and the total group number of the cables after adding. The cable adding distribution position is determined by randomly combining and matching the adding quantity of the ith cable and the distribution information of the spare pipe array. The j cable adding distribution scheme is a cable adding distribution scheme which is obtained by the j random combination adjustment and is different from the previous j-1 times. Illustratively, when the j cable increase distribution scheme is obtained, historical data query is carried out based on the i cable increase number and the spare pipe arrangement distribution information, and a plurality of historical cable increase numbers, a plurality of historical spare pipe arrangement distribution information and a plurality of historical cable increase distribution schemes are obtained. And continuously self-training and learning the increasing quantity of the plurality of historical cables, the distribution information of the plurality of historical standby pipes and the increasing distribution scheme of the plurality of historical cables to a convergence state, so as to obtain an increasing distribution stochastic programming model. The additional distributed stochastic programming model comprises an input layer, a hidden layer and an output layer. The method comprises the steps of inputting the added number of cables and spare pipe arrangement distribution information as input information, inputting an added distribution random planning model, and carrying out cable addition analysis on the input added number of cables and spare pipe arrangement distribution information for multiple times through the added distribution random planning model to obtain a first cable added distribution scheme, a second cable added distribution scheme (8230) \\8230, a j-1 cable added distribution scheme and a j cable added distribution scheme.
Step S6412: constructing a fitness function;
further, step S6412 of the present application further includes:
step S64121: acquiring cable heat effect influence parameters, wherein the cable heat effect influence parameters comprise an environment temperature parameter, a soil heat resistance parameter, a cable spacing parameter and a cable number parameter;
step S64122: classifying the environment temperature parameter, the soil thermal resistance parameter, the cable spacing parameter and the cable quantity parameter to obtain a positive influence factor set and a negative influence factor set;
step S64123: constructing a fitness evaluation framework formula according to the positive influence factor set and the negative influence factor set:
wherein ,
characterize the fitness of any cable add-on>
Characterizing an ambient temperature parameter>
Characterizing soil thermal resistance parameters>
Characterizing a distance parameter between any two cables after the addition, and->
Characterizing the total number of any two cables after addition, and ` pick `>
Characterizes the number of cables and>
、/>
、/>
and />
The weight bias index is an index fusion weight bias index which is more than 0; />
Step S64124: and acquiring the environment temperature parameter and the soil thermal resistance parameter according to the preset channel cable detection data, and assigning the fitness evaluation frame formula to acquire the fitness function.
Specifically, the cable thermal effect influence parameters comprise an ambient temperature parameter, a soil thermal resistance parameter, a cable spacing parameter and a cable number parameter. And evaluating the cable thermal effect influence on the cable thermal effect influence parameters to obtain a plurality of influence factors. And if the influence factor is positive, adding the cable thermal effect influence parameter corresponding to the influence factor to the forward influence factor set. And if the influence factor is negative, adding the cable thermal effect influence parameter corresponding to the influence factor to a negative influence factor set. And further, constructing a fitness evaluation framework formula based on the positive influence factor set and the negative influence factor set. In the fitness evaluation framework formula,
the fitness added for any cable; />
Is an ambient temperature parameter; />
Is a soil thermal resistance parameter;
the distance parameter between any two cables after being additionally arranged; />
The total number of any two cables after being additionally arranged; />
To characterize the number of cables; />
、/>
、/>
and />
And setting a predetermined index fusion bias index to be greater than 0. The preset channel cable detection data further comprise an environment temperature parameter and a soil thermal resistance parameter, and the fitness evaluation frame formula is assigned according to the environment temperature parameter and the soil thermal resistance parameter to obtain a fitness function. The fitness function comprises a fitness evaluation frame formula which is assigned according to the environment temperature parameter and the soil thermal resistance parameter. The technical effects of constructing a fitness function and carrying out fitness evaluation tamping foundation on the cable by additionally arranging a distribution scheme for follow-up cables are achieved.
Step S6413: according to the j cable additional distribution scheme, carrying out fitness evaluation based on the fitness function to obtain the fitness of the j cable additional distribution scheme;
step S6414: judging whether the fitness of the j-th cable added distribution scheme is greater than or equal to the fitness of the j-1-th cable added distribution scheme;
step S6415: if the number of the cables is larger than or equal to the number of the cables, setting the j-th cable adding distribution scheme as an optimized winning factor, and adding the j-1-th cable adding distribution scheme into a eliminated data set;
step S6416: if the number of the cable elements is less than the preset number, setting the j-1 cable adding distribution scheme as the optimized winning factor, and adding the j cable adding distribution scheme into the eliminated data group;
step S6417: and when j meets the iterative convergence number, extracting the jth cable adding distribution scheme or the j-1 th cable adding distribution scheme from the optimized winning factor to be set as the ith adding number optimal cable adding scheme.
Specifically, the jth cable added distribution scheme and the jth-1 cable added distribution scheme are respectively used as input information, a fitness function is input, fitness evaluation is respectively carried out on the jth cable added distribution scheme and the jth-1 cable added distribution scheme through the fitness function, and the jth cable added distribution scheme fitness and the jth-1 cable added distribution scheme fitness are obtained. And further judging whether the fitness of the j-th cable added distribution scheme is greater than or equal to the fitness of the j-1 th cable added distribution scheme, if so, setting the j-th cable added distribution scheme as an optimized victory factor, and adding the j-1 th cable added distribution scheme to the eliminated data group. And if the fitness of the j-th cable added distribution scheme is smaller than that of the j-1-th cable added distribution scheme, setting the j-1-th cable added distribution scheme as an optimized winning factor, and adding the j-th cable added distribution scheme to the eliminated data group. And then, iterative optimization is carried out based on the optimized winning factors, when the iterative optimization times meet the iterative convergence number, a jth cable added distribution scheme or a jth-1 cable added distribution scheme is extracted from the optimized winning factors, and the jth cable added distribution scheme or the jth-1 cable added distribution scheme in the optimized winning factors is output as an ith added number optimal cable added scheme. Wherein the iteration convergence number comprises a preset determined iteration optimizing time threshold. The ith cable adding number optimal cable adding scheme comprises a jth cable adding distribution scheme or a j-1 th cable adding distribution scheme in an optimal winning factor meeting the iterative convergence number. The ith cable adding scheme with the optimal adding quantity further comprises the adaptability of the ith cable adding scheme with the optimal adding quantity. The added cable scheme fitness with the optimal added ith number comprises added cable distribution scheme fitness corresponding to the optimized winning factor meeting the iterative convergence number or added cable distribution scheme fitness of the j-1 st cable. The technical effect that the optimal cable adding scheme with high precision is obtained by carrying out multiple iteration optimization on the jth cable adding distribution scheme, so that the comprehensiveness and the accuracy of cable adding analysis are improved is achieved.
Step S642: performing descending sequencing on the plurality of adding schemes according to the adding scheme adaptability of the cable with the optimal first adding quantity and the adding scheme adaptability of the cable with the optimal second adding quantity until the adding scheme adaptability of the cable with the optimal ith adding quantity, and screening the preset adding schemes from the first position;
step S643: and carrying out minimum value screening on the preset number increasing scheme according to the number of the increased cables to obtain the cable increasing scheme.
Step S700: and carrying out cable adding management according to the cable adding scheme.
Specifically, the multiple extension schemes comprise a first extension number optimal cable extension scheme, a second extension number optimal cable extension scheme \8230, an 8230and an ith extension number optimal cable extension scheme. The method comprises the steps of a first adding quantity optimal cable adding scheme and a second adding quantity optimal cable adding scheme of \8230 \ 8230, a ith adding quantity optimal cable adding scheme comprises the first adding quantity optimal cable adding scheme adaptability, the second adding quantity optimal cable adding scheme adaptability of \8230, and the ith adding quantity optimal cable adding scheme adaptability. According to the method, the increasing scheme adaptability of the cables with the optimal first increasing number is increased, the increasing scheme adaptability of the cables with the optimal second increasing number is increased, namely, 8230, the increasing schemes are sorted in a descending order according to the increasing scheme adaptability of the cables with the optimal number in the ith increasing number, and the increasing schemes are higher and higher. And adding the first K adding schemes in the plurality of adding schemes after descending sorting to a preset number adding scheme. And then, carrying out minimum value screening on the preset number adding schemes according to the number of the added cables to obtain cable adding schemes, and carrying out cable adding management according to the cable adding schemes. The method for obtaining the cable extension scheme with the optimal first extension number and the cable extension scheme with the optimal second extension number in the multiple extension schemes is the same as the method for obtaining the cable extension scheme with the optimal ith extension number in the 8230, and therefore the description is omitted for simplicity of the specification. The preset number adding schemes comprise the first K adding schemes in the plurality of adding schemes after descending sorting. The value of K may be adaptively set and determined. Preferably, 2/3 of the number of the plurality of extension schemes is set to the value of K. The cable adding scheme comprises a preset adding scheme of the minimum cable adding quantity in the adding schemes. The technical effects of screening through a plurality of adding schemes, obtaining accurate and adaptive cable adding schemes and improving cable adding management quality are achieved.
In summary, the incremental analysis method based on cable detection data provided by the present application has the following technical effects:
1. the peak value of the daily current load is obtained by extracting the peak value of the daily current load detection data; performing daily current load maximum value analysis according to the distribution information of the cable arrangement pipes to generate a daily current load threshold value; judging whether the daily current load peak value meets the daily current load threshold value; if the preset design instruction is not satisfied, generating a first design instruction, performing cable adding analysis based on the distribution information of the spare pipe array, generating a cable adding scheme, and performing cable adding management according to the cable adding scheme. The intelligent, efficient and comprehensive multi-dimensional adding analysis is carried out on the cable detection data, the accuracy and the adaptation degree of the adding analysis of the cable are improved, the adding management quality of the cable is improved, the waste of resources such as manpower and material resources caused by adding management of the cable is reduced, and the adding management cost of the cable is reduced.
2. The accurate daily current load peak value is obtained by performing multi-dimensional peak value analysis on the preset channel cable detection data, so that the reliability of cable addition management is improved.
3. The method comprises the steps of judging whether a daily current load peak value meets a daily current load threshold value, adaptively generating a first design instruction, and carrying out cable adding analysis according to the first design instruction, so that the adaptability of cable adding management is improved.
4. And performing multiple iteration optimization on the jth cable adding distribution scheme to obtain a high-precision ith adding quantity optimal cable adding scheme, so that the comprehensiveness and the accuracy of cable adding analysis are improved.
Example two
Based on the same inventive concept as the incremental analysis method based on the cable detection data in the foregoing embodiment, the present invention further provides an incremental analysis system based on the cable detection data, referring to fig. 3, where the system includes:
the detection data acquisition module 11 is configured to acquire preset channel cable detection data, where the preset channel cable detection data includes daily current load detection data;
the peak value extraction module 12 is configured to perform peak value extraction according to the daily current load detection data to obtain a daily current load peak value;
the distribution information acquiring module 13 is configured to acquire preset channel cable duct bank distribution information, where the preset channel cable duct bank distribution information includes cabling duct bank distribution information and spare duct bank distribution information;
a maximum value analysis module 14, wherein the maximum value analysis module 14 is configured to perform maximum value analysis on daily current load according to the distribution information of the cable arrangement pipes to generate a daily current load threshold;
a judging module 15, where the judging module 15 is configured to judge whether the daily current load peak value meets the daily current load threshold;
the cable adding analysis module 16 is used for generating a first design instruction if the cable adding analysis module 16 does not meet the requirement, and performing cable adding analysis based on the spare pipe arrangement distribution information to generate a cable adding scheme;
and the cable adding management module 17 is used for carrying out cable adding management according to the cable adding scheme by the cable adding management module 17.
Further, the system further comprises:
the data extraction module is used for extracting a plurality of daily current load peak values of a preset time zone from the daily current load detection data;
the trigger frequency parameter acquisition module is used for traversing the multiple daily current load peak values to acquire multiple trigger frequency parameters;
the weight distribution module is used for carrying out weight distribution on the daily current load peak values according to the trigger frequency parameters to obtain a weight distribution result;
and the weighted summation module is used for carrying out weighted summation on the plurality of daily current load peak values according to the weight distribution result to generate the daily current load peak values.
Further, the system further comprises:
the first execution module is used for traversing the distribution information of the cable arrangement pipe to acquire cable parameter information and cable distribution position information;
the cable model acquisition module is used for acquiring cable model information according to the cable parameter information;
the second execution module is used for detecting the preset channel cable and further comprises cabling duct pipe environment information;
and the daily current load threshold determining module is used for inputting the cable model information, the cable distribution position information and the cabling pipe environment information into a daily current load most-match database to obtain the daily current load threshold.
Further, the system further comprises:
the deviation analysis module is used for carrying out deviation analysis on the daily current load peak value and the daily current load threshold value to obtain added current-carrying deviation;
the constraint interval setting module is used for setting a constraint interval of the number of added cables according to the current-carrying deviation;
the system comprises an ith cable adding quantity acquisition module, a cable adding quantity acquisition module and a control module, wherein the ith cable adding quantity acquisition module is used for traversing the cable adding quantity constraint interval to acquire the ith cable adding quantity;
and the third execution module is used for performing cable adding analysis based on the spare pipe arrangement distribution information according to the i-th cable adding quantity to generate the cable adding scheme.
Further, the system further comprises:
the fourth execution module is used for carrying out cable adding analysis according to the added ith cable number and the distribution information of the spare pipe array to generate an added ith cable number optimal cable scheme, wherein the added ith cable number optimal cable scheme comprises the added ith cable number optimal scheme fitness;
the descending ordering module is used for carrying out descending ordering on a plurality of adding schemes according to the adding scheme adaptability of the first adding quantity optimal cable and the adding scheme adaptability of the second adding quantity optimal cable until the adding scheme adaptability of the ith adding quantity optimal cable, and screening the preset quantity adding schemes from the first position;
and the minimum screening module is used for carrying out minimum screening on the preset number adding schemes according to the number of added cables to obtain the cable adding schemes.
Further, the system further comprises:
a jth cable adding distribution scheme generation module, wherein the jth cable adding distribution scheme generation module is used for randomly distributing cables according to the ith cable adding quantity and the spare pipe arrangement distribution information to generate a jth cable adding distribution scheme;
the function building module is used for building a fitness function;
the fitness evaluation module is used for carrying out fitness evaluation on the basis of the fitness function according to the j cable added distribution scheme to obtain the fitness of the j cable added distribution scheme;
the fitness judging module is used for judging whether the fitness of the j-th cable added distribution scheme is greater than or equal to the fitness of the j-1-th cable added distribution scheme;
a fifth execution module, configured to set the jth cable incremental distribution scheme as an optimized winning factor and add the jth-1 cable incremental distribution scheme into an obsolete data set if the jth cable incremental distribution scheme is greater than or equal to the optimized winning factor;
a sixth execution module, configured to set the j-1 th cable incremental distribution scheme as the optimized winning factor and add the j-1 th cable incremental distribution scheme to the obsolete data set if the number of the cable incremental distribution schemes is smaller than the optimized winning factor;
a seventh execution module, configured to, when j satisfies an iterative convergence number, extract the jth cable incremental distribution scheme or the jth-1 cable incremental distribution scheme from the optimized winning factor and set the jth cable incremental distribution scheme as the ith incremental number optimal cable incremental scheme.
Further, the system further comprises:
the influence parameter acquisition module is used for acquiring cable heat effect influence parameters, wherein the cable heat effect influence parameters comprise an environment temperature parameter, a soil heat resistance parameter, a cable spacing parameter and a cable quantity parameter;
the classification module is used for classifying the environment temperature parameter, the soil thermal resistance parameter, the cable spacing parameter and the cable quantity parameter to obtain a positive influence factor set and a negative influence factor set;
the fitness evaluation framework formula building module is used for building a fitness evaluation framework formula according to the positive influence factor set and the negative influence factor set:
wherein ,
characterize the fitness of any cable add-on>
Characterizing an ambient temperature parameter>
Characterizing soil thermal resistance parameters>
Characterizing a distance parameter between any two cables after the addition, and->
Characterizing the total number of any two cables after addition, and ` pick `>
Characterizes the number of cables and>
、/>
、/>
and />
The weight bias index is an index fusion weight bias index which is more than 0;
and the fitness function determining module is used for acquiring the environment temperature parameter and the soil thermal resistance parameter according to the preset channel cable detection data, assigning the fitness evaluation frame formula and acquiring the fitness function.
The incremental analysis system based on the cable detection data provided by the embodiment of the invention can execute the incremental analysis method based on the cable detection data provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Each included module is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be realized; in addition, the specific names of the functional modules are only for convenience of distinguishing from each other and are not used for limiting the protection scope of the present invention.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an electronic device provided in the third embodiment of the present invention, and shows a block diagram of an exemplary electronic device suitable for implementing the embodiment of the present invention. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention. As shown in fig. 4, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of the processors 31 in the electronic device may be one or more, one processor 31 is taken as an example in fig. 4, the processor 31, the memory 32, the input device 33 and the output device 34 in the electronic device may be connected by a bus or in other manners, and the connection by the bus is taken as an example in fig. 4.
The memory 32 is a computer readable storage medium, and can be used for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to an incremental analysis method based on cable detection data in the embodiment of the present invention. The processor 31 executes various functional applications and data processing of the computer device by executing software programs, instructions and modules stored in the memory 32, that is, implements the above-mentioned incremental analysis method based on cable detection data.
The application provides an add-on analysis method based on cable detection data, wherein the method is applied to an add-on analysis system based on cable detection data, and the method comprises the following steps: the peak value of the daily current load is obtained by extracting the peak value of the daily current load detection data; performing daily current load maximum value analysis according to the distribution information of the cable arrangement pipes to generate a daily current load threshold value; judging whether the daily current load peak value meets the daily current load threshold value; if the preset design instruction is not satisfied, generating a first design instruction, performing cable adding analysis based on the distribution information of the spare pipe array, generating a cable adding scheme, and performing cable adding management according to the cable adding scheme. The problem of among the prior art to the accurate not enough of add analysis of cable, and then cause the not good technical problem of add management effect of cable is solved. The intelligent, efficient and comprehensive multi-dimensional adding analysis is carried out on the cable detection data, the accuracy and the adaptation degree of the adding analysis of the cable are improved, the adding management quality of the cable is improved, the waste of resources such as manpower and material resources caused by adding management of the cable is reduced, and the adding management cost of the cable is reduced.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A cable detection data-based incremental analysis method is characterized by comprising the following steps:
acquiring preset channel cable detection data, wherein the preset channel cable detection data comprises daily current load detection data;
extracting a peak value according to the daily current load detection data to obtain a daily current load peak value;
acquiring preset channel cable duct bank distribution information, wherein the preset channel cable duct bank distribution information comprises cabling duct bank distribution information and standby duct bank distribution information;
performing daily current load maximum value analysis according to the distribution information of the cable arrangement pipes to generate a daily current load threshold value;
judging whether the daily current load peak value meets the daily current load threshold value or not;
if the standby pipe arrangement information does not meet the requirement, generating a first design instruction, and performing cable arrangement analysis based on the standby pipe arrangement distribution information to generate a cable arrangement scheme;
and carrying out cable adding management according to the cable adding scheme.
2. The method of claim 1, wherein said performing peak extraction based on said daily current load detection data to obtain a daily current load peak value comprises:
extracting a plurality of daily current load peak values of a preset time zone from the daily current load detection data;
traversing the multiple daily current load peak values to obtain multiple trigger frequency parameters;
carrying out weight distribution on the daily current load peaks according to the trigger frequency parameters to obtain a weight distribution result;
and carrying out weighted summation on the plurality of daily current load peak values according to the weight distribution result to generate the daily current load peak value.
3. The method of claim 1, wherein the performing a daily current load maximum analysis based on the cabling duct work distribution information to generate a daily current load threshold comprises:
traversing the distribution information of the cable laying pipe bank to obtain cable parameter information and cable distribution position information;
acquiring cable model information according to the cable parameter information;
the preset channel cable detection data also comprises cabling duct environmental information;
and inputting the cable model information, the cable distribution position information and the cabling pipe arrangement environment information into a daily current load most-value matching database to obtain the daily current load threshold value.
4. The method of claim 1, wherein if not, generating a first design instruction to perform a cable add analysis based on the alternate drain distribution information to generate a cable add scenario comprises:
performing deviation analysis on the daily current load peak value and the daily current load threshold value to obtain added current-carrying deviation;
setting an additional number constraint interval of the cable according to the additional current-carrying deviation;
traversing the constraint interval of the added number of the cables to obtain the added number of the ith cable;
and according to the number of the added ith cables, performing cable addition analysis based on the distribution information of the spare pipes to generate a cable addition scheme.
5. The method of claim 4, wherein said generating the cable add plan by performing a cable add analysis based on the alternate drain distribution information according to the ith cable add quantity comprises:
performing cable adding analysis according to the added ith cable number and the distribution information of the spare pipes to generate an added ith cable number optimal scheme, wherein the added ith cable number optimal scheme comprises the added ith cable number optimal scheme fitness;
performing descending sequencing on the plurality of adding schemes according to the adding scheme adaptability of the cable with the optimal first adding quantity and the adding scheme adaptability of the cable with the optimal second adding quantity until the adding scheme adaptability of the cable with the optimal ith adding quantity, and screening the preset adding schemes from the first position;
and carrying out minimum value screening on the preset number increasing scheme according to the number of the increased cables to obtain the cable increasing scheme.
6. The method of claim 5, wherein said performing a cable add analysis based on said ith cable add quantity and said alternate drain distribution information to generate an ith add quantity optimal cable add solution comprises:
randomly distributing the ith cable according to the added number of the ith cables and the distribution information of the spare pipes to generate a jth cable adding distribution scheme;
constructing a fitness function;
according to the j cable additional distribution scheme, carrying out fitness evaluation based on the fitness function to obtain the fitness of the j cable additional distribution scheme;
judging whether the fitness of the j-th cable added distribution scheme is greater than or equal to the fitness of the j-1-th cable added distribution scheme;
if the number of the cables is larger than or equal to the number of the cables, setting the j-th cable adding distribution scheme as an optimized winning factor, and adding the j-1-th cable adding distribution scheme into a eliminated data set;
if the number of the cable groups is smaller than the preset number, setting the j-1 cable adding distribution scheme as the optimized winning factor, and adding the j cable adding distribution scheme into the eliminated data group;
and when j meets the iterative convergence number, extracting the jth cable adding distribution scheme or the j-1 th cable adding distribution scheme from the optimized winning factor to be set as the ith adding number optimal cable adding scheme.
7. The method of claim 6, wherein said constructing a fitness function comprises:
acquiring cable thermal effect influence parameters, wherein the cable thermal effect influence parameters comprise an environment temperature parameter, a soil thermal resistance parameter, a cable spacing parameter and a cable quantity parameter;
classifying the environment temperature parameter, the soil thermal resistance parameter, the cable spacing parameter and the cable quantity parameter to obtain a positive influence factor set and a negative influence factor set;
according to the positive influence factor set and the negative influence factor set, constructing a fitness evaluation framework formula:
wherein ,
characterize the fitness of any cable add-on>
Characterizing an ambient temperature parameter>
Characterizing the thermal resistance parameters of soil,
Characterizing a distance parameter between any two cables after the addition, and->
Characterizing the total number of any two cables after addition, and ` pick `>
Characterizes the number of cables and>
、/>
、/>
and />
The weight bias index is an index fusion weight bias index which is more than 0;
and acquiring the environment temperature parameter and the soil thermal resistance parameter according to the preset channel cable detection data, and assigning the fitness evaluation frame formula to acquire the fitness function.
8. An incremental analysis system based on cable test data, the system comprising:
the device comprises a detection data acquisition module, a data processing module and a data processing module, wherein the detection data acquisition module is used for acquiring preset channel cable detection data, and the preset channel cable detection data comprises daily current load detection data;
the peak value extraction module is used for extracting a peak value according to the daily current load detection data to obtain a daily current load peak value;
the distribution information acquisition module is used for acquiring preset channel cable duct bank distribution information, wherein the preset channel cable duct bank distribution information comprises cabling duct bank distribution information and standby duct bank distribution information;
the maximum value analysis module is used for carrying out maximum value analysis on daily current load according to the distribution information of the cable laying pipes to generate a daily current load threshold value;
the judging module is used for judging whether the daily current load peak value meets the daily current load threshold value;
the cable adding analysis module is used for generating a first design instruction if the cable adding analysis module does not meet the requirement, and performing cable adding analysis based on the spare pipe arrangement distribution information to generate a cable adding scheme;
and the cable adding management module is used for carrying out cable adding management according to the cable adding scheme.
9. An electronic device, characterized in that the electronic device comprises:
a memory for storing executable instructions;
a processor for implementing a cable inspection data based incremental analysis method as claimed in any one of claims 1 to 7 when executing executable instructions stored in the memory.
10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out a method of incremental analysis based on cable test data according to any one of claims 1 to 7.
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