CN115983648A - Cable accessory installation monitoring method and system - Google Patents
Cable accessory installation monitoring method and system Download PDFInfo
- Publication number
- CN115983648A CN115983648A CN202310279603.9A CN202310279603A CN115983648A CN 115983648 A CN115983648 A CN 115983648A CN 202310279603 A CN202310279603 A CN 202310279603A CN 115983648 A CN115983648 A CN 115983648A
- Authority
- CN
- China
- Prior art keywords
- fault
- construction
- cable
- information
- characteristic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of intelligent monitoring, and provides a method and a system for monitoring installation of cable accessories, wherein the method comprises the following steps: collecting cable construction project information; acquiring a cable accessory fault database, constructing a fault feature type database in a classified manner, and constructing a fault feature identification model; extracting construction characteristics to obtain a construction characteristic set, inputting a fault characteristic identification model, and obtaining a fault characteristic mapping table; the method comprises the steps of analyzing a fault characteristic hidden danger relation based on a cable accessory fault database and a fault characteristic mapping table, obtaining a construction node risk coefficient, setting a construction node strategy by combining the fault characteristic mapping table, generating monitoring parameters, monitoring construction installation, solving the technical problem that line faults caused by the cable accessory installation hidden dangers occur frequently, realizing real-time construction installation monitoring in the cable accessory installation process, adopting a feedback adjustment mode, improving the control parameter precision of monitoring equipment, finding the cable accessory installation hidden dangers at the first time, and providing a reference technical effect for reducing the line faults.
Description
Technical Field
The invention relates to the technical field related to intelligent monitoring, in particular to a method and a system for monitoring installation of cable accessories.
Background
Cable accessories refer to intermediate connections and terminal connectors of various cables in a cable line, such as a wire pressing cap and an adhesive rubber tape, and include various forms of wrapping, molding, cold shrinking, heat shrinking, prefabrication, combination and the like, and in cable construction projects, the heat-shrinkable cable accessories, the prefabricated cable accessories and the cold-shrinkable cable accessories are widely used.
Since most faults of the transmission line operation accidents occur on the cable accessories, research and analysis on actual field installation of the cable accessories are necessary so as to reduce line faults and improve the safety and reliability of the power transmission line.
In summary, the technical problem of frequent line faults caused by hidden installation troubles of cable accessories exists in the prior art.
Disclosure of Invention
The application aims to solve the technical problem of frequent line faults caused by directly acquired hidden installation hazards of cable accessories in the prior art by providing a method and a system for monitoring installation of the cable accessories.
In view of the foregoing problems, embodiments of the present application provide a cable accessory installation monitoring method and system.
In a first aspect of the present disclosure, a cable accessory installation monitoring method 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; acquiring a cable accessory fault database, performing characteristic analysis and classification on the cable accessory fault database, and constructing a fault characteristic type database; constructing a fault feature identification model based on the fault feature type library; extracting construction characteristics according to the cable construction path information and the construction cable demand information to obtain a construction characteristic set; inputting the construction characteristic set into the fault characteristic identification model to obtain a fault characteristic mapping table; based on the cable accessory fault database, according to the fault characteristic mapping table, carrying out fault characteristic hidden danger relation analysis to obtain a construction node risk coefficient; and 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 carry out construction installation monitoring.
In another aspect of the disclosure, a cable accessory installation monitoring system is provided, wherein the system comprises: the information acquisition module is used for acquiring cable construction project information, wherein the cable construction project information comprises cable construction path information and construction cable requirement information; the type library construction module is used for obtaining a cable accessory fault database, performing characteristic analysis and classification on the cable accessory fault database and constructing a fault characteristic type library; the model construction module is used for constructing a fault feature identification model based on the fault feature type library; the characteristic extraction module is used for extracting construction characteristics according to the cable construction path information and the construction cable requirement information to obtain a construction characteristic set; the mapping table obtaining module is used for inputting the construction characteristic set into the fault characteristic identification model to obtain a fault characteristic mapping table; the hidden danger relation analysis module is used for analyzing the hidden danger relation of the fault characteristics according to the fault characteristic mapping table on the basis of the cable accessory fault database to obtain a construction node risk coefficient; and the strategy setting module is used for 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 carry out construction installation monitoring.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method adopts the method of collecting the cable construction project information; acquiring a cable accessory fault database, analyzing and classifying to construct a fault feature type database, and constructing a fault feature identification model; extracting construction characteristics to obtain a construction characteristic set, inputting a fault characteristic identification model, and obtaining a fault characteristic mapping table; the method comprises the steps of analyzing a fault characteristic hidden danger relation based on a cable accessory fault database and a fault characteristic mapping table to obtain a construction node risk coefficient, combining the fault characteristic mapping table to set a construction node strategy, generating monitoring parameters to carry out construction installation monitoring, realizing real-time construction installation monitoring in the installation process of the cable accessory, improving the control parameter precision of monitoring equipment by adopting a feedback adjustment mode, finding the cable accessory installation hidden danger at the first time and providing reference for reducing line faults.
The above description is only an overview of the technical solutions of the present application, and the present application may be implemented in accordance with the content of the description so as to make the technical means of the present application more clearly understood, and the detailed description of the present application will be given below in order to make the above and other objects, features, and advantages of the present application more clearly understood.
Drawings
Fig. 1 is a schematic flow chart of a possible cable accessory installation monitoring method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a possible process of constructing a fault feature type library in a cable accessory installation monitoring method according to an embodiment of the present application;
fig. 3 is a schematic flow chart illustrating a possible process of obtaining a construction characteristic 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.
Description of reference numerals: 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 a cable accessory installation monitoring system, which solve the technical problem of frequent line faults caused by hidden cable accessory installation hazards, realize the 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, find the hidden cable accessory installation hazards at the first time and provide reference for reducing the line faults.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
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 requirement information;
specifically, when the cable is installed, the cable accessory accidentally damages the cable, and may not pass through the requirements of normative documents such as "inspection and acceptance of construction and electrical construction quality" GB50303-2002, thereby affecting the inspection and acceptance of cable engineering, and the cable accessory installation monitoring can be synchronously performed in the construction and installation process, including: the method comprises the steps of 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, the path unit information is cable construction project passing units, such as a research institute, a school, a business circle, a lodging area, a mountain area and the like), construction cable demand information, and the construction cable demand information comprises cable specification information, cable installation accessory information and installation flow information and provides data support for subsequent analysis;
s20: acquiring a cable accessory fault database, performing characteristic analysis and classification on the cable accessory fault database, and constructing a fault characteristic type database;
as shown in fig. 2, step S20 includes the steps of:
s21: extracting the dimensional data of the cable accessory fault database, such as fault grade, fault source and fault influence factor;
s22: classifying the fault characteristics based on the fault grade, the fault source and the fault influence factor as classification characteristics to obtain a multi-type fault characteristic set;
s23: and constructing the fault feature type library according to the mapping relation of the multi-type fault feature set.
Specifically, the cable accessory fault comprises defects such as bubbles, moisture and impurities (cable accessory fault: the risk of insulation breakdown caused by partial discharge) in the cable accessory, and in a data storage unit of the cable accessory installation monitoring system, relevant data of the cable accessory fault is called to obtain a cable accessory fault database;
performing feature analysis and classification on the cable accessory fault database, and constructing a fault feature type database, wherein the fault feature type database comprises the steps of extracting from a plurality of dimensional data of fault grades and fault sources (particularly, if the fault sources appear in a research institute, the corresponding fault grades are higher, if the fault sources appear in an unmanned mountain area, the corresponding fault grades are lower, and fault influence factors are extracted from the cable accessory fault database, using the fault grades as first classification features, using the fault sources as second classification features, using the fault influence factors as third classification features, classifying the fault features, and obtaining multi-type fault feature sets, wherein the multi-type fault feature sets comprise fault grade type fault feature sets, fault source type fault feature sets, and fault influence factor type fault feature sets;
and according to the mapping relation (mapping relation: aiming at a certain fault, comprising the determined fault grade information, fault source information and fault influence factor information) of the multi-type fault feature set, constructing a fault feature type library according to a plurality of faults in the cable accessory fault database, and providing support for carrying out fault troubleshooting on the cable accessories in a grading way.
S30: constructing a fault feature identification model based on the fault feature type library;
the 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: 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;
s33: and connecting the parameter identification classification submodel serving as a first-order model and the fault mapping relation analysis submodel serving as a second-order model to obtain the fault characteristic identification model.
Specifically, constructing a fault feature identification model based on the fault feature type library comprises the following steps: it should be noted that the fault parameter characteristic can be a mechanical damage parameter characteristic (generally, the cause of mechanical damage includes excessive mechanical traction force, 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 cable moisture includes that the structure of the splice closure or the terminal closure is not sealed or poorly installed, the metal sheath of the cable has small holes or cracks, the metal sheath is punctured by puncture or corrosion of foreign objects), or other relevant parameter characteristics;
taking the fault parameter characteristics as marking contents, carrying out fault parameter characteristic marking on the fault characteristic type library, and marking to obtain a parameter identification classification sub-model;
according to the fault characteristic type library, carrying out corresponding relation marking on fault parameter characteristics and fault results (the fault result of mechanical damage can be that the lead/aluminum package of an underground cable is cracked and damaged due to vibration or impact load of a running vehicle, generally speaking, part of mechanical damage is slight, no fault is caused when the mechanical damage is caused, but the damaged part is developed into a fault after months or even years; and taking the parameter identification classification submodel as a first-order model, taking the fault mapping relation analysis submodel as a second-order model, connecting the first-order model with the second-order model (the model connection mode adopts cascade connection, and the cascade connection is a conventional technical means), completing the connection and obtaining the fault characteristic identification model, and providing model support for rapidly identifying faults.
S40: extracting construction characteristics according to the cable construction path information and the construction cable demand information to obtain a construction characteristic set;
as shown in fig. 3, step S40 includes the steps of:
s41: acquiring path environment information and path unit information according to the cable construction path information;
s42: according to the cable demand information, acquiring the cable demand specification, the cable demand installation accessory information and the installation process information;
s43: and carrying out construction node relation correspondence on the path environment information and the path unit information and the cable requirement specification, the cable requirement installation accessory information and the installation flow information, and carrying out feature extraction on all the 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 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 requirement information, data sorting is carried out on three aspects of specification, installation accessories and installation process, and cable requirement specification (the cable requirement specification conforms to standard documents of related cable specifications such as GB/T5013-2008 rated voltage 450/750V and rubber insulated cables below, GB/T5023-2006 rated voltage 450/750V and polyvinyl chloride insulated cables below) is obtained), cable requirement installation accessory information (the cable requirement installation accessory conforms to standard documents of related cable installation accessories such as GB 50217-2016 power cable laying specification, IEC61442 rated voltage 6kV (Um =7.2 kV) to 30kV (Um =36 kV) power cable accessory test method) and the like), installation process information (the installation process is obtained by integrating use instructions of cable equipment and use instructions of 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 process information according to the construction node relationship (the construction node relationship is corresponding to that whether the insulation sealing performance reaches the standard or not needs to be considered in the stages of cable specification selection, cable installation accessory selection and installation process if the construction node has a position with higher air humidity and the requirement on the insulation sealing performance is high; if an important department unit exists in the construction node, a high-voltage cable is generally arranged at the position of the important department unit, and the concealment and the safety of the cable need to be considered in the installation construction stage), and extracting the characteristics of each information, analyzing and extracting the construction characteristics of the construction nodes by adopting PCA (Principal Component Analysis), constructing a multi-dimensional matrix by adopting the path environment information of the construction nodes, the path unit information of the construction nodes, the cable requirement specification of the construction nodes, the cable requirement installation accessory information of the construction nodes and the installation process information of the construction nodes, iterating the data of the multi-dimensional matrix on a diagonal line, further perfecting the multi-dimensional matrix each time until the multi-dimensional matrix converges, obtaining the construction characteristic set (the multi-dimensional matrix of the first construction node converges to obtain a first construction characteristic element, a second construction characteristic element, 8230, and an Nth construction characteristic element form the construction characteristic set) (N is more than or equal to 1 and N is a positive integer), and extracting the construction characteristics of the construction nodes from the path environment, the path unit, the cable specification, the cable installation accessory and the installation process angle, and performing characteristic analysis on all the construction nodes to provide support for realizing refined cable accessory installation monitoring.
S50: inputting the construction characteristic set into the fault characteristic identification model to obtain a fault characteristic 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 a fault risk parameter and a fault risk path node according to the fault characteristic mapping table;
s62: acquiring risk fault information including fault grade and fault source according to the fault risk parameters and the cable accessory fault database;
s63: determining path unit information according to the fault risk path node to obtain a risk place grade;
s64: and determining a construction node risk coefficient according to the fault grade, the fault source and the risk place grade.
Specifically, inputting the N construction characteristic elements in the construction characteristic set to the fault characteristic identification model one by one, outputting the N fault characteristic mapping information one by one, expressing the N fault characteristic mapping information in a table form, and obtaining a fault characteristic 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 fault characteristic mapping table is used for determining fault risk parameters (a line pressing cap is used for pressing a lead connecting node in a circuit, the risk of poor contact of the line pressing cap is generally higher, cable insulation in a sunlight exposure area is easy to age and fall off, and the insulation falling risk of the sunlight exposure area is generally higher) (carrying out risk statistics, if the first fault node has poor contact for 1 time, the second fault node has poor contact for 3 times, and if the project accumulation has poor contact for 4 times, the fault risk parameters are that the first fault node is 25%, the second fault node is 75%), and fault risk path nodes (corresponding, the fault risk path nodes comprise the first fault node, the second fault node, 8230; the Mth fault node) (M is more than or equal to 1, and M is a positive integer);
acquiring risk fault information according to the fault risk parameters and the cable accessory fault database, wherein the risk fault information comprises fault levels (the fault levels correspond to fault radiation areas, if a fault occurs in a lodging area, a fault occurring in one household is set as a first-level fault, a fault occurring in one floor is set as a second-level fault, a fault occurring in one building is set as a third-level fault, a fault occurring in the whole community is set as a fourth-level fault), and a fault source (the fault source can be a certain device or a certain part);
according to the fault risk path node, determining path unit information of a fault position, taking the importance degree of a place as a grade judgment basis (which can be set by self-definition, generally speaking, the grades of scientific research related places such as a research institute and a school are highest, the grades of civil activities such as a business circle and a lodging area are inferior, the grades of rare people related places such as a mountain area and a desert are lowest, and obtaining the grade of a risk place, wherein the fault risk path node corresponds to the grade of the risk place one by one;
and taking the multivariate evaluation model as a model basis, taking the fault grade index as a first dimension, taking the fault source index as a second dimension and taking the risk place grade index as a third dimension, building a construction node risk coefficient evaluation model, determining a construction node risk coefficient according to the fault grade, the fault source and the risk place grade and based on the construction node risk coefficient evaluation model, and providing reference for carrying out comprehensive evaluation on the construction node risk coefficient.
S70: and 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 carry out construction installation monitoring.
The step S70 includes the steps of:
s71: performing key grade division on the construction nodes according to the construction node risk coefficients and preset grades to obtain construction node key grades;
s72: constructing a construction process quality requirement list, wherein the construction process 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 grade and the fault risk grade by using the construction node key grade, the fault characteristic mapping table and the construction process 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, the method for setting the construction node strategy according to the construction node risk coefficient and the fault characteristic mapping table comprises the following steps: performing key grade division (key grade division: dividing the same section of division regions into the same set) on the construction nodes (preset parameter indexes including multi-section division regions) according to a preset grade according to the construction node risk coefficient, and dividing the multi-section division regions into a plurality of sets respectively to obtain the construction node key grade, wherein the construction node key grade comprises the plurality of sets respectively divided into the multi-section division regions; according to the form of a list, sorting the construction node key levels, taking construction node key level indexes as a first list of the list, taking fault risk level indexes as a second list, taking corresponding parameter control threshold indexes as a third list of the list, and constructing a construction process quality requirement list;
taking the construction node key level as mapping constraint information of a first row, taking the fault risk level as mapping constraint information of a second row, and performing constraint associated mapping matching in a fault characteristic mapping table and the construction process 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 of a construction node (generally, the construction parameter control threshold can be an acquisition frequency threshold, a mechanical damage detection strength threshold and an insulation moisture detection strength threshold), and supports automatic control management of cable accessory installation monitoring.
The embodiment of the application also comprises the following steps:
s75: sending the construction parameter control threshold values of all the construction nodes to construction monitoring equipment to construct a control parameter library;
s76: acquiring current construction node information;
s77: matching the current construction node information 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 using an acquisition port, comparing the parameters of 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 the adjustment parameter information.
Specifically, generating monitoring parameters based on a construction node strategy to carry out construction installation monitoring, and 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), constructing a control parameter library, wherein the construction parameter control thresholds of all construction nodes are added in the control parameter library;
and 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 a construction monitoring device, and index directional acquisition constraint (index directional acquisition constraint:
if the construction parameter control threshold value of the current construction node is: the temperature is (30 ℃ and 50 ℃), the directional acquisition constraint content of the current construction node is real-time acquisition temperature, an image identification parameter frame is generated to be 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 accessories, a collection port is used for collecting the current construction node in real time, a construction parameter control threshold value of the current construction node is used for comparing the parameters with the collected information in real time, the image identification parameter frame is used for comparing the parameters in real time for synchronous digital display, if the collected data exceeds the construction parameter control threshold value, early warning information is sent (red can be used for highlighting, the collected data exceeding the construction parameter control threshold value is converted into red, all the collected data converted into red at the current moment is used 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 adjusted parameter information, the feedback adjusted parameter information is the feedback adjusted information of the construction parameter control threshold value, and the feedback adjusted parameter information can be collected frequency feedback adjusted information, mechanical damage detection force threshold value feedback adjusted information and insulation moisture detection force threshold value feedback adjusted information, so that support is provided for real-time comparison and judgment, and meanwhile, the application environment of cable accessory installation monitoring is considered, and support is provided for realizing automatic feedback adjustment control and management of cable accessory installation.
To sum up, the method and the system for monitoring installation of cable accessories provided by the embodiment of the application have the following technical effects:
1. the method adopts the method of collecting the cable construction project information; acquiring a cable accessory fault database, analyzing and classifying to construct a fault feature type database, and constructing a fault feature identification model; extracting construction characteristics to obtain a construction characteristic set, inputting a fault characteristic identification model, and obtaining a fault characteristic mapping table; the method and the system for monitoring the installation of the cable accessories realize real-time monitoring of the installation of the construction in the installation process of the cable accessories, improve the precision of control parameters of monitoring equipment by adopting a feedback adjustment mode, discover hidden troubles of the installation of the cable accessories at the first time and provide a reference technical effect for reducing the occurrence of line faults.
2. The method comprises the steps of screening key construction nodes with risks according to the levels of the risks possibly occurring in the construction nodes, constructing a list, carrying out mapping matching on the list according to data collected by the construction nodes in real time to obtain a control threshold, and using the control threshold as strategy content to realize construction parameter control and provide support 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 embodiment, 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 configured to acquire cable construction project information, where the cable construction project information includes cable construction path information and construction cable requirement information;
the type library construction module 200 is used for obtaining a cable accessory fault database, performing feature analysis and classification on the cable accessory fault database, and constructing a fault feature type library;
a model construction module 300, configured to construct a fault feature identification model based on the fault feature type library;
the feature extraction module 400 is configured to extract a construction feature according to the cable construction path information and the construction cable requirement information to obtain a construction feature set;
a mapping table obtaining module 500, configured to input the construction feature set into the fault feature identification model, and obtain a fault feature mapping table;
the hidden danger relation analysis module 600 is configured to perform fault characteristic hidden danger relation analysis according to the fault characteristic mapping table based on the cable accessory fault database to obtain a construction node risk coefficient;
and the strategy setting module 700 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 monitor construction and installation.
Further, the system comprises:
the data extraction module is used for extracting dimensional data of fault grades, fault sources and fault influence factors from the cable accessory fault database;
the fault feature classification module is used for classifying the fault features based on the fault grades, the fault sources and the fault influence factors as classification features to obtain a multi-type fault feature set;
and 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 comprises:
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 acquiring the cable demand specification, the cable demand installation accessory information and the installation process information according to the cable demand information;
and the construction node relation corresponding module is used for carrying out construction node relation correspondence on the path environment information and the path unit information and the cable requirement specification, the cable requirement installation accessory information and the installation process information, and carrying out feature extraction on all the information to obtain the construction feature set.
Further, the system comprises:
the fault parameter feature marking module is used for marking fault parameter features according to the fault feature 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 submodel as a first-order model and the fault mapping relation analysis submodel as a second-order model to obtain the fault characteristic identification model.
Further, the system comprises:
the fault risk determination module is used for determining fault risk parameters and fault risk path nodes according to the fault characteristic mapping table;
a risk fault information acquisition module for acquiring risk fault information including fault grade and fault source according to the fault risk parameters and the cable accessory fault database;
a risk place grade obtaining module, configured to determine path unit information according to the fault risk path node, and 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 comprises:
the construction node key grade acquisition module is used for performing key grade division on the construction nodes according to the construction node risk coefficient and preset grades to obtain the key grade of the construction nodes;
the construction process quality requirement list construction module is used for constructing a construction process quality requirement list, wherein the construction process quality requirement list comprises construction node key grade indexes, fault risk grade indexes and corresponding parameter control threshold indexes;
a matching parameter control threshold acquisition module, configured to perform construction node key level and fault risk level matching by using the construction node key level, the fault feature mapping table, and the construction process quality requirement list, to obtain a matching parameter control threshold;
and the construction node strategy generating 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.
Further, the system comprises:
the construction parameter control threshold value sending module is used for sending the construction parameter control threshold values 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 the current construction node information with a control parameter library to obtain a construction parameter control threshold 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 using the acquisition port, comparing the parameters of the image identification parameter frame and the acquisition information, sending early warning information when the acquired data exceeds the construction parameter control threshold value, and feeding back the adjustment 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 identified by a non-limiting computer processor call to implement any of the methods in the embodiments of the present application, without unnecessary limitation.
Furthermore, the first and second elements may represent more than an order, may represent a specific concept, and/or may be selected individually or collectively from a plurality of elements. It will be apparent to those skilled in the art that various changes and modifications may 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 its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (8)
1. A cable accessory installation monitoring method, the method comprising:
acquiring cable construction project information, wherein the cable construction project information comprises cable construction path information and construction cable requirement information;
acquiring a cable accessory fault database, performing characteristic analysis and classification on the cable accessory fault database, and constructing a fault characteristic type database;
constructing a fault feature identification model based on the fault feature type library;
extracting construction characteristics according to the cable construction path information and the construction cable demand information to obtain a construction characteristic set;
inputting the construction characteristic set into the fault characteristic identification model to obtain a fault characteristic 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 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 carry out construction installation monitoring.
2. The method of claim 1, wherein the analyzing and classifying the characteristics of the cable accessory fault database to construct a fault characteristic type library comprises:
extracting the dimensional data of the cable accessory fault database, such as fault grade, fault source and fault influence factor;
classifying the fault characteristics based on the fault grade, the fault source and the fault influence factor as classification characteristics to obtain a multi-type fault characteristic set;
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 the performing construction characteristic extraction according to the cable construction path information and the construction cable requirement information comprises:
acquiring path environment information and path unit information according to the cable construction path information;
according to the cable demand information, acquiring the cable demand specification, the cable demand installation accessory information and the installation process information;
and performing construction node relation correspondence on the path environment information and the path unit information and the cable requirement specification, the cable requirement installation accessory information and the installation flow information, and performing characteristic extraction on all the information to obtain the construction characteristic set.
4. The method of claim 1, wherein building a fault signature recognition model based on the library of fault signature types comprises:
carrying out fault parameter feature marking according to the fault feature type library, and constructing a parameter identification classification sub-model;
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 taking the parameter identification classification submodel as a first-order model, and taking the fault mapping relation analysis submodel as a second-order model for connection to obtain the fault characteristic identification model.
5. The method of claim 3, wherein performing fault characteristic hidden danger relationship analysis based on the cable accessory fault database according to the fault characteristic mapping table to obtain a construction node risk coefficient comprises:
determining a fault risk parameter and a fault risk path node according to the fault characteristic mapping table;
acquiring risk fault information including fault grade and fault source according to the fault risk parameters and the cable accessory fault database;
determining path unit information according to the fault risk path node to obtain a risk place grade;
and determining a construction node risk coefficient according to the fault grade, the fault source and the risk place grade.
6. The method of claim 5, wherein the construction node strategy setting according to the construction node risk coefficient and the fault characteristic mapping table comprises:
performing key grade division on the construction nodes according to the construction node risk coefficients and preset grades to obtain construction node key grades;
constructing a construction process quality requirement list, wherein the construction process quality requirement list comprises construction node key grade indexes, fault risk grade indexes and corresponding parameter control threshold indexes;
matching the construction node key grade and the fault risk grade by using the construction node key grade, the fault characteristic mapping table and the construction process 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 of a construction node.
7. The method of claim 6, wherein the method further comprises:
sending the construction parameter control threshold values of all the construction nodes to construction monitoring equipment to construct a control parameter library;
acquiring current construction node information;
matching the current construction node information 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 using an acquisition port, comparing the parameters of 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 the adjustment parameter information.
8. A cable accessory installation monitoring system for implementing a cable accessory installation monitoring method as claimed in any one of claims 1 to 7, comprising:
the information acquisition module is used for acquiring cable construction project information, wherein the cable construction project information comprises cable construction path information and construction cable requirement information;
the type library construction module is used for obtaining a cable accessory fault database, performing characteristic analysis and classification on the cable accessory fault database and constructing a fault characteristic type library;
the model construction module is used for constructing a fault feature identification model based on the fault feature type library;
the characteristic extraction module is used for extracting construction characteristics according to the cable construction path information and the construction cable requirement information to obtain a construction characteristic set;
the mapping table obtaining module is used for inputting the construction characteristic set into the fault characteristic identification model to obtain a fault characteristic mapping table;
the hidden danger relation analysis module is used for analyzing the hidden danger relation of the fault characteristics according to the fault characteristic mapping table on the basis of the cable accessory fault database to obtain a construction node risk coefficient;
and the strategy setting module is used for 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 carry out construction installation monitoring.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310279603.9A CN115983648B (en) | 2023-03-22 | 2023-03-22 | Cable accessory installation monitoring method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310279603.9A CN115983648B (en) | 2023-03-22 | 2023-03-22 | Cable accessory installation monitoring method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115983648A true CN115983648A (en) | 2023-04-18 |
| CN115983648B CN115983648B (en) | 2023-06-02 |
Family
ID=85970573
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310279603.9A Active CN115983648B (en) | 2023-03-22 | 2023-03-22 | Cable accessory installation monitoring method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115983648B (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521709A (en) * | 2011-12-22 | 2012-06-27 | 上海建科工程咨询有限公司 | Building construction quality safety online risk management system |
| CN102521710A (en) * | 2011-12-22 | 2012-06-27 | 上海建科工程咨询有限公司 | Building construction quality safety online risk assessment system |
| CN106156947A (en) * | 2016-07-01 | 2016-11-23 | 北京华科合创科技发展有限公司 | A kind of production operation security risk managing and control system |
| CN110703833A (en) * | 2019-07-19 | 2020-01-17 | 广东电网有限责任公司梅州供电局 | Unmanned cable accessory installation environment control method and system |
| CN111931334A (en) * | 2020-06-28 | 2020-11-13 | 中国电力科学研究院有限公司 | Method and system for evaluating operation reliability of cable equipment |
| CN112036449A (en) * | 2020-08-11 | 2020-12-04 | 广州番禺电缆集团有限公司 | Fault analysis decision platform and fault analysis method based on intelligent cable |
| 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 |
| US20210344184A1 (en) * | 2018-09-10 | 2021-11-04 | 3M Innovative Properties Company | Support structure for cable and cable accessory condition monitoring devices |
| CN113624334A (en) * | 2021-08-10 | 2021-11-09 | 四川浩淼睿诚科技有限公司 | Unit vibration monitoring device and method based on Internet of things technology |
| 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 |
| CN114604768A (en) * | 2022-01-24 | 2022-06-10 | 杭州大杰智能传动科技有限公司 | Intelligent tower crane maintenance management method and system based on fault identification model |
| CN115015692A (en) * | 2022-06-06 | 2022-09-06 | 国网内蒙古东部电力有限公司赤峰供电公司 | Operation and maintenance monitoring and early warning method and system for power cable of high-voltage equipment |
| CN115239135A (en) * | 2022-03-14 | 2022-10-25 | 北京住总集团有限责任公司 | Construction risk identification management and control system and method |
| CN115310843A (en) * | 2022-08-17 | 2022-11-08 | 国网浙江省电力有限公司电力科学研究院 | Environment monitoring and early warning method, device and equipment for electric power operation safety |
| CN115587746A (en) * | 2022-09-13 | 2023-01-10 | 华中科技大学 | Flow safety risk multi-mode digital intelligent management and control method and device |
-
2023
- 2023-03-22 CN CN202310279603.9A patent/CN115983648B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521710A (en) * | 2011-12-22 | 2012-06-27 | 上海建科工程咨询有限公司 | Building construction quality safety online risk assessment system |
| CN102521709A (en) * | 2011-12-22 | 2012-06-27 | 上海建科工程咨询有限公司 | Building construction quality safety online risk management system |
| CN106156947A (en) * | 2016-07-01 | 2016-11-23 | 北京华科合创科技发展有限公司 | A kind of production operation security risk managing and control system |
| US20210344184A1 (en) * | 2018-09-10 | 2021-11-04 | 3M Innovative Properties Company | Support structure for cable and cable accessory condition monitoring devices |
| 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 |
| CN110703833A (en) * | 2019-07-19 | 2020-01-17 | 广东电网有限责任公司梅州供电局 | Unmanned cable accessory installation environment control method and system |
| CN111931334A (en) * | 2020-06-28 | 2020-11-13 | 中国电力科学研究院有限公司 | Method and system for evaluating operation reliability of cable equipment |
| CN112036449A (en) * | 2020-08-11 | 2020-12-04 | 广州番禺电缆集团有限公司 | Fault analysis decision platform and fault analysis method based on intelligent cable |
| 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 |
| CN113624334A (en) * | 2021-08-10 | 2021-11-09 | 四川浩淼睿诚科技有限公司 | Unit vibration monitoring device and method based on Internet of things technology |
| CN114604768A (en) * | 2022-01-24 | 2022-06-10 | 杭州大杰智能传动科技有限公司 | Intelligent tower crane maintenance management method and system based on fault identification model |
| CN115239135A (en) * | 2022-03-14 | 2022-10-25 | 北京住总集团有限责任公司 | Construction risk identification management and control system and method |
| CN115015692A (en) * | 2022-06-06 | 2022-09-06 | 国网内蒙古东部电力有限公司赤峰供电公司 | Operation and maintenance monitoring and early warning method and system for power cable of high-voltage equipment |
| CN115310843A (en) * | 2022-08-17 | 2022-11-08 | 国网浙江省电力有限公司电力科学研究院 | Environment monitoring and early warning method, device and equipment for electric power operation safety |
| CN115587746A (en) * | 2022-09-13 | 2023-01-10 | 华中科技大学 | Flow safety risk multi-mode digital intelligent management and control method and device |
Non-Patent Citations (2)
| Title |
|---|
| 周亮军 等: "电缆附件安装关键点的控制及方法", 《电线电缆》 * |
| 黄立 等: "高压电缆附件安装的质量控制方法探究", 《机电信息》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115983648B (en) | 2023-06-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106019084B (en) | Medium-voltage power distribution network disconnection fault diagnosis method based on power distribution and utilization data correlation | |
| CN111598490B (en) | Photoelectric composite submarine cable state evaluation method and system based on multi-state quantity fusion | |
| CN111709931B (en) | Automatic acquisition method and system for strain clamp defect detection and identification report | |
| CN115015692A (en) | Operation and maintenance monitoring and early warning method and system for power cable of high-voltage equipment | |
| CN111563509A (en) | Tesseract-based substation terminal row identification method and system | |
| CN114611966B (en) | Intelligent quantitative evaluation method for power transmission and transformation operation safety of smart power grid power system | |
| EP2084548A1 (en) | Flashover analysis tool | |
| CN110334127B (en) | Power distribution network line fault rule mining method, system and storage medium | |
| CN116879684B (en) | Abnormal line judging method and system | |
| CN116308306B (en) | New energy station intelligent management system and method based on 5G | |
| CN116846085A (en) | Self-sensing monitoring intelligent distribution box control system | |
| CN105528790A (en) | Transmission line small part identification method | |
| CN113095189A (en) | Machine vision and data analysis-based intelligent monitoring and management system for operating environment safety of power system transformer substation | |
| CN112132811A (en) | Cable service condition comprehensive evaluation system | |
| KR101223883B1 (en) | Apparatus and method for diagnostic medium voltage cable status using the vlf td measured data | |
| Huang et al. | A method of transmission conductor-loosened detect based on image sensors | |
| CN112803891B (en) | Photovoltaic system fault diagnosis method and device | |
| CN115983648A (en) | Cable accessory installation monitoring method and system | |
| CN113298893A (en) | Artificial intelligence image processing method based on power dispatching | |
| CN116170283B (en) | Processing method based on network communication fault system | |
| CN116184060A (en) | Abnormal monitoring method and system suitable for porcelain insulator live working | |
| CN113408656B (en) | Power failure level classification method suitable for being caused by meteorological change | |
| CN114821309A (en) | Indoor transformer substation switch and indicator lamp state identification method and system | |
| CN113791322A (en) | Composite insulator core rod aging degree evaluation method and system | |
| CN113361607B (en) | Medium-voltage distribution network line problem analysis method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |