CN115983648B - Cable accessory installation monitoring method and system - Google Patents
Cable accessory installation monitoring method and system Download PDFInfo
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- CN115983648B CN115983648B CN202310279603.9A CN202310279603A CN115983648B CN 115983648 B CN115983648 B CN 115983648B CN 202310279603 A CN202310279603 A CN 202310279603A CN 115983648 B CN115983648 B CN 115983648B
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Abstract
The invention relates to the technical field of intelligent monitoring, and provides a cable accessory installation monitoring method and system, wherein the method comprises the following steps: collecting information of a cable construction project; obtaining a cable accessory fault database, classifying and constructing a fault feature type library, and constructing a fault feature recognition model; extracting construction characteristics to obtain a construction characteristic set, inputting a fault characteristic identification model, and obtaining a fault characteristic mapping table; based on the cable accessory fault database and the fault feature mapping table, the fault feature hidden danger relation is analyzed, the risk coefficient of the construction node is obtained, the construction node strategy is set in combination with the fault feature mapping table, the monitoring parameters are generated, the construction installation is monitored, the technical problem of frequent line faults caused by hidden danger of the cable accessory installation is solved, the construction installation monitoring is carried out in real time in the cable accessory installation process, the control parameter precision of monitoring equipment is improved by adopting a feedback adjustment mode, the hidden danger of the cable accessory installation is discovered in the first time, and the reference technical effect is provided for reducing the occurrence of line faults.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to a cable accessory installation monitoring method and system.
Background
The cable accessory refers to intermediate connection and terminal connection parts of various cables in a cable line, such as a wire pressing cap and a self-adhesive rubber belt, and comprises various forms of wrapping, molding, shrinking, prefabricating, combining and the like, and the heat-shrinkable cable accessory, the prefabricated cable accessory and the shrinking cable accessory are widely used in cable construction projects.
Since most of faults of the operation accidents of the power transmission line occur on the cable accessories, the actual field installation of the cable accessories is necessary to be researched and analyzed so as to reduce the faults of the line and improve the safety and reliability of the power transmission line.
In summary, the technical problem of frequent line faults caused by hidden trouble of cable accessory installation exists in the prior art.
Disclosure of Invention
The application aims to solve the technical problem of frequent line faults caused by directly collected hidden danger of cable accessory installation in the prior art by providing a method and a system for monitoring cable accessory installation.
In view of the above problems, embodiments of the present application provide a method and a system for monitoring installation of a cable accessory.
In a first aspect of the present disclosure, a method for monitoring installation of a cable accessory is provided, wherein the method includes: acquiring cable construction project information, wherein the cable construction project information comprises cable construction path information and construction cable demand information; obtaining a cable accessory fault database, performing feature analysis and classification on the cable accessory fault database, and constructing a fault feature type library; constructing a fault feature recognition model based on the fault feature type library; according to the cable construction path information and the construction cable demand information, construction feature extraction is carried out, and a construction feature set is obtained; inputting the construction feature set into the fault feature recognition model to obtain a fault feature mapping table; based on the cable accessory fault database, carrying out fault characteristic hidden danger relation analysis according to the fault characteristic mapping table to obtain a construction node risk coefficient; and setting construction node strategies according to the construction node risk coefficients and the fault characteristic mapping table, and generating monitoring parameters based on the construction node strategies to perform construction installation monitoring.
In another aspect of the present disclosure, a cable accessory installation monitoring system is provided, wherein the system comprises: the information acquisition module is used for acquiring information of cable construction projects, wherein the information comprises cable construction path information and construction cable demand information; the type library construction module is used for obtaining a cable accessory fault database, carrying out feature analysis and classification on the cable accessory fault database, and constructing a fault feature type library; the model building module is used for building a fault feature recognition model based on the fault feature type library; the feature extraction module is used for extracting construction features according to the cable construction path information and the construction cable demand information to obtain a construction feature set; the mapping table obtaining module is used for inputting the construction feature set into the fault feature recognition model to obtain a fault feature mapping table; the hidden danger relation analysis module is used for analyzing the hidden danger relation of the fault characteristic according to the fault characteristic mapping table based on the fault database of the cable accessory to obtain a risk coefficient of the construction node; and the strategy setting module is used for setting the construction node strategy according to the construction node risk coefficient and the fault characteristic mapping table, and generating monitoring parameters based on the construction node strategy to perform construction installation monitoring.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
because the cable construction project information is collected; obtaining a cable accessory fault database, analyzing and classifying to construct a fault feature type library, and constructing a fault feature recognition model; extracting construction characteristics to obtain a construction characteristic set, inputting a fault characteristic identification model, and obtaining a fault characteristic mapping table; based on the cable accessory fault database and the fault feature mapping table, the fault feature hidden danger relationship is analyzed, the construction node risk coefficient is obtained, the construction node strategy setting is carried out by combining the fault feature mapping table, the construction installation monitoring is carried out by generating the monitoring parameters, the construction installation monitoring is carried out in real time in the cable accessory installation process, the feedback adjustment mode is adopted, the control parameter precision of the monitoring equipment is improved, the cable accessory installation hidden danger is discovered at the first time, and the reference technical effect is provided for reducing the occurrence of line faults.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of a possible method for monitoring installation of a cable accessory according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a possible process for constructing a fault feature type library in the cable accessory installation monitoring method according to the embodiment of the present application;
fig. 3 is a schematic flow chart of a possible process of obtaining a construction feature set in a cable accessory installation monitoring method according to an embodiment of the present application;
fig. 4 is a schematic diagram of a possible structure of a cable accessory installation monitoring system according to an embodiment of the present application.
Reference numerals illustrate: the system comprises an information acquisition module 100, a type library construction module 200, a model construction module 300, a feature extraction module 400, a mapping table acquisition module 500, a hidden danger relation analysis module 600 and a strategy setting module 700.
Detailed Description
The embodiment of the application provides a cable accessory installation monitoring method and system, which solve the technical problem of frequent line faults caused by hidden danger of cable accessory installation, realize real-time construction installation monitoring in the cable accessory installation process, improve the control parameter precision of monitoring equipment by adopting a feedback adjustment mode, discover the hidden danger of cable accessory installation at the first time and provide a reference technical effect for reducing line faults.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides a cable accessory installation monitoring method, where the method includes:
s10: acquiring cable construction project information, wherein the cable construction project information comprises cable construction path information and construction cable demand information;
specifically, when cable installation, cable accessory carelessly damages the cable and damages the cable, can not pass through the requirement of the isonormal file such as building electrical construction quality acceptance Specification GB50303-2002, and then influence cable engineering acceptance, can carry out cable accessory installation monitoring in the work installation process in step, include: collecting cable construction project information, wherein the cable construction project information comprises cable construction path information (the cable construction path information comprises, but is not limited to, path environment information and path unit information, and the path unit information is a unit through which the cable construction project passes and can be a research institute, a school, a business district, a accommodation area, a mountain area and the like), and construction cable demand information, and the construction cable demand information comprises cable specification information, cable installation accessory information and installation flow information, so that data support is provided for subsequent analysis;
s20: obtaining a cable accessory fault database, performing feature analysis and classification on the cable accessory fault database, and constructing a fault feature type library;
as shown in fig. 2, step S20 includes the steps of:
s21: extracting several dimensional data of fault grades, fault sources and fault influencing factors from the cable accessory fault database;
s22: classifying the fault characteristics based on the fault grade, the fault source and the fault influencing factors as classification characteristics respectively to obtain a plurality of types of fault characteristic sets;
s23: and constructing the fault feature type library according to the mapping relation of the multi-type fault feature set.
Specifically, the cable accessory faults comprise defects (such as bubbles, moisture, impurities and the like) in the cable accessory faults (the cable accessory faults are in partial discharge to cause insulation breakdown), and relevant data of the cable accessory faults are called in a data storage unit of the cable accessory installation monitoring system to obtain a cable accessory fault database;
performing feature analysis and classification on the cable accessory fault database to construct a fault feature type library, wherein the fault feature type library is constructed by classifying fault features in the cable accessory fault database from fault levels and fault sources (particularly, if the fault sources are in a research institute, the corresponding fault levels are higher, if the fault sources are in an unmanned mountain area, the corresponding fault levels are lower), and extracting several dimensional data of fault influence factors, wherein the fault levels are used as first classification features, the fault sources are used as second classification features, the fault influence factors are used as third classification features, and a multi-type fault feature set is obtained, and comprises a fault level type fault feature set, a fault source type fault feature set and a fault influence factor type fault feature set;
according to the mapping relation (the mapping relation: aiming at a certain fault, the mapping relation comprises the determined fault grade information, fault source information and fault influence factor information) of the multi-type fault feature set, the fault feature type library is constructed according to a plurality of faults in a cable accessory fault database, and support is provided for grading fault investigation of the cable accessory.
S30: constructing a fault feature recognition model based on the fault feature type library;
step S30 includes the steps of:
s31: carrying out fault parameter feature marking according to the fault feature type library, and constructing a parameter identification classification sub-model;
s32: carrying out corresponding relation marking of fault parameter characteristics and fault results according to the fault characteristic type library, and constructing a fault mapping relation analysis sub-model;
s33: and taking the parameter identification classification sub-model as a first-order model, and connecting the fault mapping relation analysis sub-model as a second-order model to obtain the fault feature identification model.
Specifically, constructing a fault feature recognition model based on the fault feature type library includes: it should be appreciated that the fault parameter characteristic may be a mechanical damage parameter characteristic (generally, the cause of mechanical damage includes excessive mechanical traction, excessive bending of the cable, direct damage by external force, vibration or impact load of the running vehicle), an insulation moisture parameter characteristic (generally, the cause of moisture of the cable includes unsealing or poor installation of the connector box or terminal box structure, small holes or cracks on the metal sheath of the cable, puncture or corrosion of the metal sheath by foreign objects), or other relevant parameter characteristics;
taking the fault parameter characteristics as marking content, marking the fault parameter characteristics of the fault characteristic type library, and obtaining a parameter identification classification sub-model after marking;
according to the fault characteristic type library, carrying out corresponding relation marks of fault parameter characteristics and fault results (the fault results of mechanical damage can be lead/aluminum package cracking damage of an underground cable caused by vibration or impact load of a running vehicle, in general, partial mechanical damage is slight, the time of mechanical damage is not caused, but damage parts develop into faults after months or even years, the fault results of insulation and moisture are embodied as cable insulation resistance is too low and leakage current is too large), and the corresponding relation marks are completed to obtain a fault mapping relation analysis submodel; and taking the parameter identification classification sub-model as a first-order model, taking the fault mapping relation analysis sub-model as a second-order model, connecting the first-order model and the second-order model (the model connecting mode adopts cascade, and the cascade is a conventional technical means), and obtaining the fault characteristic identification model after the connection is completed, so that model support is provided for rapid fault identification.
S40: according to the cable construction path information and the construction cable demand information, construction feature extraction is carried out, and a construction feature set is obtained;
as shown in fig. 3, step S40 includes the steps of:
s41: obtaining path environment information and path unit information according to the cable construction path information;
s42: obtaining cable demand specifications, cable demand installation accessory information and installation flow information according to the cable demand information;
s43: and carrying out construction node relation correspondence on the path environment information and the path unit information, the cable requirement specification, the cable requirement installation accessory information and the installation flow information, and carrying out feature extraction on each information to obtain the construction feature set.
Specifically, according to the cable construction path information and the construction cable demand information, construction characteristic extraction is carried out to obtain a construction characteristic set, and the construction characteristic set comprises the steps of carrying out data arrangement on two aspects of environment and path units according to the cable construction path information to obtain path environment information (air humidity information and temperature information) and path unit information;
according to the cable demand information, data arrangement is carried out on three aspects of specifications, installation accessories and installation processes, and cable demand specifications (the cable demand specifications meet the standard files of cable specifications such as GB/T5013-2008 rubber insulated cables with rated voltage 450/750V and below, GB/T5023-2006 polyvinyl chloride insulated cables with rated voltage 450/750V and below), cable demand installation accessory information (the cable demand installation accessory meeting the requirements GB 50217-2016 power cable laying specifications, IEC61442 standard files such as rated voltage 6kV (um=7.2 kV) to 30kV (um=36 kV) power cable accessory test method) and installation accessory information (the installation processes are required to be obtained according to the use specification of cable preparation and the use specification integration of the cable installation accessories);
the path environment information and the path unit information are corresponding to the cable requirement specification, the cable requirement installation accessory information and the installation flow information in a construction node relation (the construction node relation is corresponding to the position with higher air humidity of a construction node, the insulation sealing performance requirement is high, and whether the insulation sealing performance meets the standard is considered in the cable specification selection, the cable installation accessory selection and the installation flow stage; if the construction node has an important department unit, the position of the important department unit is generally provided with a high-voltage cable, the concealment and the safety of the cable are required to be considered in the installation construction stage, the construction characteristic analysis and the extraction are carried out on the construction node by adopting PCA (Principal Component Analysis, principal component analysis), the construction characteristic set is formed by adopting path environment information of the construction node, path unit information of the construction node, cable requirement specification of the construction node, cable requirement installation accessory information of the construction node and installation flow information of the construction node, the multidimensional matrix is iterated to form data on a diagonal line, the multidimensional matrix is further perfected each time the multidimensional matrix is iterated until the multidimensional matrix is converged, the multidimensional matrix of the first construction node is converged, namely, a first construction characteristic element is obtained, the first construction characteristic element, a second construction characteristic element, … … and an N construction characteristic element form the construction characteristic set (N is more than or equal to 1 and N is a positive integer), the characteristic analysis is carried out on all the construction nodes from the path environment, the path unit, the cable specification, the cable installation accessory and the installation angle, support is provided for realizing fine cable accessory installation monitoring.
S50: inputting the construction feature set into the fault feature recognition model to obtain a fault feature mapping table;
s60: based on the cable accessory fault database, carrying out fault characteristic hidden danger relation analysis according to the fault characteristic mapping table to obtain a construction node risk coefficient;
step S60 includes the steps of:
s61: determining fault risk parameters and fault risk path nodes according to the fault feature mapping table;
s62: obtaining risk fault information according to the fault risk parameters and the cable accessory fault database, wherein the risk fault information comprises a fault grade and a fault source;
s63: determining path unit information according to the fault risk path nodes to obtain a risk place grade;
s64: and determining the risk coefficient of the construction node according to the fault grade, the fault source and the risk place grade.
Specifically, N construction feature elements in the construction feature set are input to the fault feature recognition model one by one, N fault feature mapping information is output one by one, and the N fault feature mapping information is expressed in a table form to obtain a fault feature mapping table; based on the cable accessory fault database, carrying out fault characteristic hidden danger relation analysis according to the fault characteristic mapping table to obtain construction node risk coefficients, wherein the construction node risk coefficients comprise determining fault risk parameters (a wire pressing cap is used for pressing wire connection nodes in a circuit, generally, the risk of poor contact of the wire pressing cap is higher; a sunlight exposure area is generally, cable insulation in the sunlight exposure area is more prone to aging and falling, and the risk of insulation falling in the sunlight exposure area is higher) according to the fault characteristic mapping table, carrying out risk statistics, and if a first fault node has 1 time of poor contact, a second fault node has 3 times of poor contact, and a project has 4 times of poor contact, determining fault risk parameters (namely, 25% of the first fault node, 75% of the second fault node and 75% of fault risk path nodes (corresponding to the fault risk path nodes comprise a first fault node, a second fault node, … … and an Mth fault node) (M is more than or equal to 1, M is a positive integer);
according to the fault risk parameters and the cable accessory fault database, risk fault information is obtained, wherein the risk fault information comprises fault levels (the fault levels correspond to a fault radiation area, if faults occur in an accommodation area, a user is set to be a primary fault, a layer is set to be a secondary fault, a building is set to be a tertiary fault, and the whole cell is set to be a quaternary fault), and a fault source (the fault source can be a certain device or a certain part);
determining path unit information of a fault position according to the fault risk path nodes, and taking importance degree of a place as a grade judging basis (which can be set in a self-defining way, generally, scientific research related such as a institute and a school are highest in grade, civil activities related such as business circles and accommodation areas are inferior in grade, and rare people are related such as mountain areas and desertification grades are lowest) to obtain risk place grades, wherein the fault risk path nodes are in one-to-one correspondence with the risk place grades;
constructing a construction node risk coefficient evaluation model by taking a multi-element evaluation model as a model basis, taking a fault grade index as a first dimensionality, taking a fault source index as a second dimensionality and taking a risk place grade index as a third dimensionality, and determining a construction node risk coefficient based on the construction node risk coefficient evaluation model according to the fault grade, the fault source and the risk place grade, thereby providing a reference for comprehensive evaluation of the construction node risk coefficient.
S70: and setting construction node strategies according to the construction node risk coefficients and the fault characteristic mapping table, and generating monitoring parameters based on the construction node strategies to perform construction installation monitoring.
Step S70 includes the steps of:
s71: according to the risk coefficient of the construction node, carrying out key grade division on the construction node according to a preset grade to obtain a key grade of the construction node;
s72: constructing a construction flow quality requirement list, wherein the construction flow quality requirement list comprises construction node key grade indexes, fault risk grade indexes and corresponding parameter control threshold indexes;
s73: matching the construction node key level and the fault feature mapping table with the construction flow quality requirement list to obtain a matching parameter control threshold;
s74: and generating the construction node strategy according to the fault characteristic mapping table and the matching parameter control threshold, wherein the construction node strategy comprises the construction parameter control threshold of the construction node.
Specifically, performing construction node policy setting according to the construction node risk coefficient and the fault feature mapping table, including: performing key grade division (key grade division, dividing a same section of dividing interval into a same set) on a construction node (preset parameter indexes comprising a plurality of sections of dividing intervals) according to the risk coefficient of the construction node, and dividing the sections of dividing interval into a plurality of sets respectively to obtain a construction node key grade, wherein the construction node key grade comprises a plurality of sets to which the sections of dividing interval are divided respectively; according to the form of a list, the construction node key grades are sorted, construction node key grade indexes are used as a first list, fault risk grade indexes are used as a second list, corresponding parameter control threshold indexes are used as a third list, and a construction flow quality requirement list is constructed;
taking the construction node key level as mapping constraint information of a first column, taking the fault risk level as mapping constraint information of a second column, and carrying out constraint association mapping matching in a fault feature mapping table and the construction flow quality requirement list to obtain a matching parameter control threshold; and generating the construction node strategy according to the fault characteristic mapping table and the matching parameter control threshold, wherein the construction node strategy comprises a construction parameter control threshold (generally, the construction parameter control threshold can be an acquisition frequency threshold, a mechanical damage detection intensity threshold and an insulation damp detection intensity threshold) of a construction node, and provides support for automatic control management of cable accessory installation monitoring.
The embodiment of the application further comprises the steps of:
s75: transmitting the construction parameter control threshold values of all the construction nodes to construction monitoring equipment, and constructing a control parameter library;
s76: obtaining current construction node information;
s77: according to the current construction node information, matching with a control parameter library to obtain a construction parameter control threshold value of the current construction node, and generating an image identification parameter frame to be embedded into an acquisition port of the construction monitoring equipment;
s78: and acquiring the installation process of the cable accessory in real time by utilizing the acquisition port, comparing the parameters by utilizing the image identification parameter frame with the acquired information, sending early warning information when the acquired data exceeds the construction parameter control threshold value, and feeding back and adjusting the parameter information.
Specifically, the construction installation monitoring is carried out by generating monitoring parameters based on construction node strategies, and the construction installation monitoring method further comprises the steps of sending construction parameter control thresholds of all construction nodes to construction monitoring equipment (the construction monitoring equipment is a multi-source data intelligent integrated acquisition terminal and can carry out image acquisition, humidity acquisition, air dust acquisition and temperature acquisition), and constructing a control parameter library, wherein the construction parameter control thresholds of all construction nodes are added in the control parameter library;
according to the current construction node information, node positioning is carried out in a control parameter library, a construction parameter control threshold value of the current construction node is obtained through matching, the construction parameter control threshold value of the current construction node is linked to a data acquisition end of construction monitoring equipment, and index directional acquisition constraint (index directional acquisition constraint:
if the construction parameter of the current construction node controls the threshold value: the temperature (30 ℃ and 50 ℃) is that the directional acquisition constraint content of the current construction node is real-time acquisition temperature), an image identification parameter frame is generated and embedded into an acquisition port of the construction monitoring equipment (if the directional acquisition constraint content of the current construction node is real-time acquisition temperature, the acquisition port of the construction monitoring equipment is a temperature acquisition port, and the acquisition port of the construction monitoring equipment comprises an image acquisition port, a humidity acquisition port, an air dust acquisition port and a temperature acquisition port);
in the installation process of the cable accessory, the current construction node is acquired in real time by utilizing an acquisition port, the construction parameter control threshold value of the current construction node is compared with acquisition information in real time, the parameters are synchronously and digitally displayed by utilizing the image recognition parameter frame, if the acquisition data exceeds the construction parameter control threshold value, early warning information is sent (red can be used for highlighting, the acquisition data exceeding the construction parameter control threshold value is changed into red, and all the acquisition data which are changed into red at the current moment are taken as early warning information), the early warning information is sent to a cable accessory installation technical manager, the cable accessory installation technical manager feeds back the adjustment parameter information, and the feedback adjustment parameter information is the feedback adjustment information of the construction parameter control threshold value, wherein the feedback adjustment parameter information can be acquisition frequency feedback adjustment information, mechanical damage detection force threshold value feedback adjustment information and insulation damp detection force threshold value feedback adjustment information, so that support is provided for real-time comparison judgment, and simultaneously, the support is provided for realizing automatic feedback adjustment control management of cable accessory installation monitoring in consideration of the applicable environment of cable accessory installation monitoring.
In summary, the method and system for monitoring the installation of the cable accessory provided by the embodiment of the application have the following technical effects:
1. because the cable construction project information is collected; obtaining a cable accessory fault database, analyzing and classifying to construct a fault feature type library, and constructing a fault feature recognition model; extracting construction characteristics to obtain a construction characteristic set, inputting a fault characteristic identification model, and obtaining a fault characteristic mapping table; based on a cable accessory fault database and a fault feature mapping table, analyzing a fault feature hidden danger relationship, obtaining a construction node risk coefficient, performing construction node strategy setting in combination with the fault feature mapping table, and generating monitoring parameters for construction installation monitoring.
2. The key construction nodes with risks are screened out according to the possible risk level of the construction nodes, a list is constructed, mapping matching is carried out on the list according to the data acquired by the construction nodes in real time, a control threshold is obtained, the control threshold is used as strategy content, construction parameter control is realized, and support is provided for automatic control management of cable accessory installation monitoring.
Example two
Based on the same inventive concept as the cable accessory installation monitoring method in the foregoing embodiments, as shown in fig. 4, an embodiment of the present application provides a cable accessory installation monitoring system, wherein the system includes:
the information acquisition module 100 is used for acquiring cable construction project information, wherein the information comprises cable construction path information and construction cable demand information;
the type library construction module 200 is used for obtaining a cable accessory fault database, carrying out feature analysis and classification on the cable accessory fault database, and constructing a fault feature type library;
a model building module 300, configured to build a fault feature recognition model based on the fault feature type library;
the feature extraction module 400 is configured to extract construction features according to the cable construction path information and the construction cable requirement information, and obtain a construction feature set;
the mapping table obtaining module 500 is configured to input the construction feature set into the fault feature recognition model to obtain a fault feature mapping table;
the hidden danger relation analysis module 600 is configured to perform a fault feature hidden danger relation analysis according to the fault feature mapping table based on the cable accessory fault database, so as to obtain a construction node risk coefficient;
and the policy setting module 700 is configured to set a construction node policy according to the construction node risk coefficient and the fault feature mapping table, and generate monitoring parameters based on the construction node policy to perform construction installation monitoring.
Further, the system includes:
the data extraction module is used for extracting the data of the cable accessory fault database in several dimensions including fault level, fault source and fault influence factors;
the fault characteristic classification module is used for classifying the fault characteristics based on the fault grade, the fault source and the fault influence factors as classification characteristics respectively to obtain a multi-type fault characteristic set;
the fault feature type library construction module is used for constructing the fault feature type library according to the mapping relation of the multi-type fault feature sets.
Further, the system includes:
the environment information and unit information acquisition module is used for acquiring path environment information and path unit information according to the cable construction path information;
the cable demand module is used for obtaining cable demand specification, cable demand installation accessory information and installation flow information according to the cable demand information;
and the construction node relation correspondence module is used for carrying out construction node relation correspondence on the path environment information and the path unit information, the cable requirement specification, the cable requirement installation accessory information and the installation flow information, and carrying out feature extraction on each information to obtain the construction feature set.
Further, the system includes:
the fault parameter characteristic marking module is used for marking fault parameter characteristics according to the fault characteristic type library and constructing a parameter identification classification sub-model;
the corresponding relation marking module is used for marking the corresponding relation between the fault parameter characteristics and the fault results according to the fault characteristic type library and constructing a fault mapping relation analysis sub-model;
and the model connection module is used for connecting the parameter identification classification sub-model as a first-order model and the fault mapping relation analysis sub-model as a second-order model to obtain the fault characteristic identification model.
Further, the system includes:
the fault risk determining module is used for determining fault risk parameters and fault risk path nodes according to the fault characteristic mapping table;
the risk fault information acquisition module is used for acquiring risk fault information according to the fault risk parameters and the cable accessory fault database, wherein the risk fault information comprises a fault grade and a fault source;
the risk place grade obtaining module is used for determining path unit information according to the fault risk path nodes to obtain a risk place grade;
and the construction node risk coefficient determining module is used for determining the construction node risk coefficient according to the fault grade, the fault source and the risk place grade.
Further, the system includes:
the construction node key grade obtaining module is used for carrying out key grade division on the construction nodes according to the construction node risk coefficient and the preset grade to obtain construction node key grades;
the construction flow quality requirement list construction module is used for constructing a construction flow quality requirement list, wherein the construction flow quality requirement list comprises a construction node key grade index, a fault risk grade index and a corresponding parameter control threshold index;
the matching parameter control threshold value acquisition module is used for matching the construction node key level and the fault risk level by utilizing the construction node key level, the fault characteristic mapping table and the construction flow quality requirement list to acquire a matching parameter control threshold value;
and the construction node strategy generation module is used for generating the construction node strategy according to the fault characteristic mapping table and the matching parameter control threshold, wherein the construction node strategy comprises the construction parameter control threshold of the construction node.
Further, the system includes:
the construction parameter control threshold sending module is used for sending the construction parameter control thresholds of all the construction nodes to the construction monitoring equipment to construct a control parameter library;
the current construction node information acquisition module is used for acquiring current construction node information;
the acquisition port generation module is used for matching with a control parameter library according to the current construction node information to obtain a construction parameter control threshold value of the current construction node, and generating an image identification parameter frame to be embedded into an acquisition port of the construction monitoring equipment;
and the early warning information sending module is used for acquiring the installation process of the cable accessory in real time by utilizing the acquisition port, comparing the parameters by utilizing the image identification parameter frame with the acquired information, sending early warning information when the acquired data exceeds the construction parameter control threshold value, and feeding back and adjusting the parameter information.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any of the methods to implement embodiments of the present application, without unnecessary limitations.
Further, the first or second element may not only represent a sequential relationship, but may also represent a particular concept, and/or may be selected individually or in whole among a plurality of elements. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (4)
1. A method of monitoring installation of a cable accessory, the method comprising:
acquiring cable construction project information, wherein the cable construction project information comprises cable construction path information and construction cable demand information;
obtaining a cable accessory fault database, performing feature analysis and classification on the cable accessory fault database, and constructing a fault feature type library;
constructing a fault feature recognition model based on the fault feature type library;
according to the cable construction path information and the construction cable demand information, construction feature extraction is carried out to obtain a construction feature set, wherein the construction feature set comprises the following components: obtaining path environment information and path unit information according to the cable construction path information; obtaining cable demand specification, cable demand installation accessory information and installation flow information according to the construction cable demand information; the path environment information and the path unit information correspond to the cable requirement specification, the cable requirement installation accessory information and the installation flow information in a construction node relation, and feature extraction is carried out on each information to obtain the construction feature set;
inputting the construction feature set into the fault feature recognition model to obtain a fault feature mapping table;
based on the cable accessory fault database, carrying out fault characteristic hidden danger relation analysis according to the fault characteristic mapping table to obtain a construction node risk coefficient, wherein the construction node risk coefficient comprises the steps of determining a fault risk parameter and a fault risk path node according to the fault characteristic mapping table; obtaining risk fault information according to the fault risk parameters and the cable accessory fault database, wherein the risk fault information comprises a fault grade and a fault source; determining path unit information according to the fault risk path nodes to obtain a risk place grade; determining a construction node risk coefficient according to the fault level, the fault source and the risk place level;
setting a construction node strategy according to the construction node risk coefficient and the fault characteristic mapping table, and generating monitoring parameters based on the construction node strategy to perform construction installation monitoring, wherein the construction node strategy comprises the steps of performing key grade division on construction nodes according to a preset grade according to the construction node risk coefficient to obtain a construction node key grade; constructing a construction flow quality requirement list, wherein the construction flow quality requirement list comprises construction node key grade indexes, fault risk grade indexes and corresponding parameter control threshold indexes; matching the construction node key level and the fault feature mapping table with the construction flow quality requirement list to obtain a matching parameter control threshold; generating the construction node strategy according to the fault characteristic mapping table and the matching parameter control threshold, wherein the construction node strategy comprises the construction parameter control threshold of the construction node and further comprises: transmitting the construction parameter control threshold values of all the construction nodes to construction monitoring equipment, and constructing a control parameter library; obtaining current construction node information; according to the current construction node information, matching with a control parameter library to obtain a construction parameter control threshold value of the current construction node, and generating an image identification parameter frame to be embedded into an acquisition port of the construction monitoring equipment; and acquiring the installation process of the cable accessory in real time by utilizing the acquisition port, comparing the parameters by utilizing the image identification parameter frame with the acquired information, sending early warning information when the acquired data exceeds the construction parameter control threshold value, and feeding back and adjusting the parameter information.
2. The method of claim 1, wherein characterizing and classifying the cable accessory fault database to construct a fault signature type library comprises:
extracting several dimensional data of fault grades, fault sources and fault influencing factors from the cable accessory fault database;
classifying the fault characteristics based on the fault grade, the fault source and the fault influencing factors as classification characteristics respectively to obtain a plurality of types of fault characteristic sets;
and constructing the fault feature type library according to the mapping relation of the multi-type fault feature set.
3. The method of claim 1, wherein constructing a fault signature recognition model based on the fault signature type library comprises:
carrying out fault parameter feature marking according to the fault feature type library, and constructing a parameter identification classification sub-model;
carrying out corresponding relation marking of fault parameter characteristics and fault results according to the fault characteristic type library, and constructing a fault mapping relation analysis sub-model;
and taking the parameter identification classification sub-model as a first-order model, and connecting the fault mapping relation analysis sub-model as a second-order model to obtain the fault feature identification model.
4. A cable accessory installation monitoring system for implementing a cable accessory installation monitoring method as claimed in any one of claims 1 to 3, comprising:
the information acquisition module is used for acquiring information of cable construction projects, wherein the information comprises cable construction path information and construction cable demand information;
the type library construction module is used for obtaining a cable accessory fault database, carrying out feature analysis and classification on the cable accessory fault database, and constructing a fault feature type library;
the model building module is used for building a fault feature recognition model based on the fault feature type library;
the feature extraction module is used for extracting construction features according to the cable construction path information and the construction cable demand information to obtain a construction feature set;
the environment information and unit information acquisition module is used for acquiring path environment information and path unit information according to the cable construction path information;
the cable demand module is used for obtaining cable demand specification, cable demand installation accessory information and installation flow information according to the construction cable demand information;
the construction node relation correspondence module is used for carrying out construction node relation correspondence on the path environment information and the path unit information, the cable requirement specification, the cable requirement installation accessory information and the installation flow information, and carrying out feature extraction on each information to obtain the construction feature set;
the mapping table obtaining module is used for inputting the construction feature set into the fault feature recognition model to obtain a fault feature mapping table;
the hidden danger relation analysis module is used for analyzing the hidden danger relation of the fault characteristic according to the fault characteristic mapping table based on the fault database of the cable accessory to obtain a risk coefficient of the construction node;
the fault risk determining module is used for determining fault risk parameters and fault risk path nodes according to the fault characteristic mapping table;
the risk fault information acquisition module is used for acquiring risk fault information according to the fault risk parameters and the cable accessory fault database, wherein the risk fault information comprises a fault grade and a fault source;
the risk place grade obtaining module is used for determining path unit information according to the fault risk path nodes to obtain a risk place grade;
the construction node risk coefficient determining module is used for determining a construction node risk coefficient according to the fault level, the fault source and the risk place level;
the strategy setting module is used for setting construction node strategies according to the construction node risk coefficients and the fault characteristic mapping table, generating monitoring parameters based on the construction node strategies and carrying out construction installation monitoring;
the construction node key grade obtaining module is used for carrying out key grade division on the construction nodes according to the construction node risk coefficient and the preset grade to obtain construction node key grades;
the construction flow quality requirement list construction module is used for constructing a construction flow quality requirement list, wherein the construction flow quality requirement list comprises a construction node key grade index, a fault risk grade index and a corresponding parameter control threshold index;
the matching parameter control threshold value acquisition module is used for matching the construction node key level and the fault risk level by utilizing the construction node key level, the fault characteristic mapping table and the construction flow quality requirement list to acquire a matching parameter control threshold value;
the construction node strategy generation module is used for generating the construction node strategy according to the fault characteristic mapping table and the matching parameter control threshold, wherein the construction node strategy comprises a construction parameter control threshold of a construction node;
the construction parameter control threshold sending module is used for sending the construction parameter control thresholds of all the construction nodes to the construction monitoring equipment to construct a control parameter library;
the current construction node information acquisition module is used for acquiring current construction node information;
the acquisition port generation module is used for matching with a control parameter library according to the current construction node information to obtain a construction parameter control threshold value of the current construction node, and generating an image identification parameter frame to be embedded into an acquisition port of the construction monitoring equipment;
and the early warning information sending module is used for acquiring the installation process of the cable accessory in real time by utilizing the acquisition port, comparing the parameters by utilizing the image identification parameter frame with the acquired information, sending early warning information when the acquired data exceeds the construction parameter control threshold value, and feeding back and adjusting the parameter information.
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| CN102521709B (en) * | 2011-12-22 | 2016-06-29 | 上海建科工程咨询有限公司 | A kind of online risk management system of Construction Quality safety |
| CN102521710B (en) * | 2011-12-22 | 2016-07-06 | 上海建科工程咨询有限公司 | A kind of online risk evaluating system of Construction Quality safety |
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| US20210373063A1 (en) * | 2018-09-10 | 2021-12-02 | 3M Innovative Properties Company | Method and system for monitoring a health of a power cable accessory based on machine learning |
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| CN112235532A (en) * | 2020-09-01 | 2021-01-15 | 广东电网有限责任公司梅州供电局 | Early warning device and system for high-voltage cable accessory installation |
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