CN115630157A - Isolating switch fault knowledge map construction method, system, device and storage medium - Google Patents
Isolating switch fault knowledge map construction method, system, device and storage medium Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
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Abstract
The embodiment of the invention discloses a method, a system and a device for constructing a fault knowledge graph of an isolating switch and a storage medium, belonging to the field of knowledge graph construction; the method comprises the steps of obtaining isolation switch body data; classifying the data of the isolating switch body to obtain fault data of the isolating switch; performing data increment on the fault data of the isolating switch to obtain knowledge data of an isolating switch body; the isolating switch body knowledge data comprise added non-structural data; carrying out layered processing on the knowledge data of the isolating switch body to obtain layered data of the isolating switch body; and constructing a disconnecting switch fault knowledge map by using the disconnecting switch body hierarchical data. The existing large amount of data can be visualized, graded and typed through the isolating switch fault knowledge graph. The fault knowledge graph of the isolating switch can be used for quickly and accurately finding out the corresponding fault reason, and the analysis quality of the isolating switch fault is improved.
Description
Technical Field
The invention relates to the technical field of knowledge graph construction, in particular to a method, a system, a device and a storage medium for constructing a fault knowledge graph of an isolating switch.
Background
The high-voltage isolating switch has the functions of forming an obvious disconnection point on an overhaul site, forming enough safe distance through opening operation and providing efficient control under a low-current scene, and becomes an indispensable device in a power system.
In order to facilitate statistics and analysis of the fault data of the disconnecting switch, screening and storage are generally performed manually by collecting a large amount of data of the disconnecting switch in the prior art. However, the data quantity is too large, the data is too redundant and complex, and the data structure is loose, so that the fault analysis quality of the isolating switch is influenced.
Disclosure of Invention
In view of the above, the invention provides a method, a system, a device and a storage medium for constructing a fault knowledge graph of an isolating switch, which are used for solving the problem of poor fault analysis quality of the isolating switch in the prior art. In order to achieve one or a part of or all of the above or other objects, the present invention provides a method, a system, a device and a storage medium for constructing a fault knowledge graph of a disconnecting switch, wherein in the first aspect:
a method for constructing a fault knowledge graph of an isolating switch comprises the following steps:
acquiring isolation switch body data;
classifying the data of the isolating switch body to obtain fault data of the isolating switch;
performing data increment on the fault data of the isolating switch to obtain knowledge data of an isolating switch body; the isolating switch body knowledge data comprises added non-structural data;
carrying out layered processing on the knowledge data of the isolating switch body to obtain layered data of the isolating switch body;
and constructing a disconnecting switch fault knowledge map by using the disconnecting switch body hierarchical data.
Preferably, the step of performing hierarchical processing on the knowledge data of the isolator ontology to obtain hierarchical data of the isolator ontology includes:
cleaning the knowledge data of the isolating switch body;
classifying the cleaned knowledge data of the isolating switch body;
and processing the classified knowledge data of the isolating switch body by using a preset layering algorithm model to obtain the layering data of the isolating switch body.
Preferably, the step of processing the classified knowledge data of the isolator ontology by using a preset hierarchical algorithm model to obtain hierarchical data of the isolator ontology comprises:
marking the knowledge data of the isolating switch body by using a factor graph model in the hierarchical algorithm model;
and extracting knowledge from the knowledge data of the isolating switch body by using a clustering model in the hierarchical algorithm model to obtain hierarchical data of the isolating switch body.
Preferably, the step of constructing the isolating switch fault knowledge map by using the isolating switch body hierarchical data comprises:
acquiring knowledge graph construction information;
and determining map nodes and relations according to the knowledge map construction information and at least one of a data item class, a data structure class, a data stream class, a data storage class and a processing process class in the hierarchical data of the isolating switch body so as to build the isolating switch fault knowledge map.
Preferably, the step of performing data increment on the fault data of the disconnecting switch comprises:
acquiring patrol data and standing book data;
and adding the inspection data and the standing book data into the isolation switch body data.
Preferably, the step of acquiring the body data of the disconnecting switch comprises:
acquiring current data acquired by current measuring equipment and torque data acquired by torque measuring equipment;
obtaining main shaft rotation angle data by using main shaft rotation angle measuring equipment;
obtaining unstructured data by using an unstructured data acquisition module; the unstructured data comprises at least one of video data, image data and text data.
Preferably, after the acquiring the disconnector body data, the method further comprises:
carrying out format conversion on the data of the isolating switch body to obtain the data of the isolating switch body with uniform format;
and storing the data of the isolating switch body in a uniform format.
In a second aspect:
a system for constructing a fault knowledge graph of an isolating switch comprises an acquisition module, a data acquisition module and a data analysis module, wherein the acquisition module is used for acquiring data of an isolating switch body;
the classification module is used for classifying the data of the isolating switch body to obtain fault data of the isolating switch;
the increment module is used for performing data increment on the isolating switch fault data to obtain isolating switch body knowledge data; the isolating switch body knowledge data comprises added non-structural data;
the layering module is used for carrying out layering processing on the knowledge data of the isolating switch body to obtain layering data of the isolating switch body;
and the building module is used for building the isolating switch fault knowledge map by utilizing the isolating switch body hierarchical data.
Preferably, the layering module comprises a cleaning unit for cleaning the knowledge data of the isolating switch body;
the classification unit is used for classifying the cleaned knowledge data of the isolating switch body;
and the layering unit is used for processing the classified knowledge data of the isolating switch body by using a preset layering algorithm model to obtain the layering data of the isolating switch body.
Preferably, the hierarchical unit includes a labeling subunit, configured to label the knowledge data of the disconnector ontology by using a factor graph model in the hierarchical algorithm model;
and the extraction subunit is used for extracting knowledge from the knowledge data of the isolating switch body by using the clustering model in the hierarchical algorithm model to obtain the hierarchical data of the isolating switch body.
Preferably, the construction module comprises a map unit for acquiring knowledge map construction information;
and the construction unit is used for determining map nodes and relations according to the knowledge map construction information and at least one of data item classes, data structure classes, data flow classes, data storage classes and processing process classes in the hierarchical data of the isolating switch body so as to construct the isolating switch fault knowledge map.
Preferably, the increment module comprises a data unit for acquiring patrol data and ledger data;
and the increment unit is used for adding the inspection data and the standing book data into the isolation switch body data.
Preferably, the acquiring module includes a first acquiring unit, configured to acquire current data acquired by a current measuring device and torque data acquired by a torque measuring device;
the second acquisition unit is used for acquiring the main shaft corner data acquired by the main shaft corner measurement equipment;
the third acquisition unit is used for acquiring the unstructured data acquired by the unstructured data acquisition module; the unstructured data includes at least one of video data, image data, and text data.
Preferably, the system further includes a format module, configured to perform format conversion on the isolator body data after the isolator body data is obtained, so as to obtain the isolator body data with a uniform format;
and the storage module is used for storing the data of the isolating switch body in a uniform format.
In a third aspect:
the isolating switch fault knowledge map construction device comprises a memory and a processor, wherein the memory stores an isolating switch fault knowledge map construction method, and the processor is used for adopting the isolating switch fault knowledge map construction method when executing the isolating switch fault knowledge map construction method.
In a fourth aspect:
a storage medium storing a computer program that can be loaded by a processor and that executes the method described above.
The embodiment of the invention has the following beneficial effects:
classifying the obtained isolation switch body data to obtain isolation switch fault data, which is equivalent to constructing an isolation switch fault library; then, incremental processing is carried out, and the obtained isolating switch body is only data, which is equivalent to the construction of an isolating switch body knowledge base; and finally, carrying out layered processing, and correlating the same-level and same-class data in the knowledge data of the isolating switch body, which is equivalent to the construction of an isolating switch body library. On the basis, the isolation switch fault knowledge graph is constructed by using the data type, the data grade, the data relation and the like contained in the isolation switch body hierarchical data. The existing large amount of data can be visualized, graded and typed through the isolating switch fault knowledge graph. When the fault of the isolating switch needs to be analyzed, the fault knowledge map of the isolating switch can be used for quickly and accurately finding out the corresponding fault reason, fault factors, the structure and other factors related to the fault, and the analysis quality of the fault of the isolating switch is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Wherein:
FIG. 1 is an overall flow diagram of a method for constructing a fault knowledge graph of a disconnector according to an embodiment.
FIG. 2 is a flow diagram illustrating the hierarchical processing of a method for constructing a fault knowledge graph of a disconnector according to an embodiment.
FIG. 3 is a flowchart of a method for constructing a fault knowledge graph of a disconnector to obtain body data of the disconnector according to an embodiment.
FIG. 4 is a block diagram of an apparatus for obtaining isolation switch ontology data in the method for constructing the fault knowledge-graph of the isolation switch in one embodiment;
FIG. 5 is a diagram of a strain gage measurement configuration in a method for constructing a knowledge graph of a fault of an isolator in one embodiment.
FIG. 6 is a block diagram of a system for constructing a knowledge graph of isolating switch faults in one embodiment.
Fig. 7 is a schematic structural diagram of the isolating switch fault knowledge map constructing device in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to be limiting of the invention.
The embodiment of the application provides a method for constructing a fault knowledge graph of an isolating switch, and in the prior art, more analysis data related to faults of the isolating switch exist. The amount of stored related data is large, and when factors such as fault reasons of the existing isolating switch are analyzed, fault analysis is often completed by manual searching and screening, so that the analysis efficiency is low, the data visualization degree is low, and the quality of an analysis result is low.
In order to overcome the above defect, an embodiment of the present application provides a method for constructing a fault knowledge graph of a disconnecting switch, as shown in fig. 1, including:
101. and acquiring data of the isolating switch body.
In one embodiment, the isolator ontology data refers to data associated with the isolator. For example, a current parameter in the disconnector, a spindle parameter of the disconnector, a motor parameter of the disconnector, etc. The data of the isolating switch body can be obtained from an existing database, can also be obtained on the internet by using tools such as a crawler and the like, and can also be input by other equipment.
102. And classifying the data of the isolating switch body to obtain fault data of the isolating switch.
In one embodiment, the data types included in the isolator body data are more various, for example, in an application scenario, the isolator body data includes data related to a main shaft of the isolator and data related to operation of the isolator. And classifying the data of different categories to obtain the fault data of the isolating switch related to the fault of the isolating switch.
103. Performing data increment on the fault data of the isolating switch to obtain knowledge data of an isolating switch body
In one embodiment, the isolator ontology data includes added non-structural data. And after the fault data of the isolating switch is obtained, the fault data of the isolating switch is subjected to increment, and missing data in the fault data of the isolating switch is supplemented. It should be noted that, in order to construct the isolating switch fault knowledge graph, after the isolating switch fault data is obtained, data missing in the isolating switch fault data and used for constructing the isolating switch fault knowledge graph may be judged by people or other analysis software, analysis algorithms, analysis models, and the like, and then corresponding data is called from a database or other transmission equipment for data increment, so as to obtain the isolating switch body knowledge data.
104. And carrying out hierarchical processing on the knowledge data of the isolating switch body to obtain hierarchical data of the isolating switch body.
In one embodiment, knowledge extraction and other operations are performed on the knowledge data of the isolation switch body by using a hierarchical algorithm, so that hierarchical and hierarchical operations on the knowledge data of the isolation switch body are realized. And after the hierarchical processing is carried out, judging that the knowledge data of the isolating switch body after the hierarchical processing is the hierarchical data of the isolating switch body.
It should be noted that, constructing the isolating switch fault knowledge map requires obtaining the relationship between parameters and sub-devices of an isolating switch associated with a certain fault, and performing hierarchical processing on the isolating switch ontology knowledge data, that is, obtaining the relationship between various levels of data.
105. And constructing a fault knowledge graph of the isolating switch by using the hierarchical data of the isolating switch body.
The data for defining the fault name, the data for describing the fault reason, the parameters of the disconnector current and the relationship among the data are contained in the hierarchical data of the disconnector body. In this embodiment, the type of data included in the body data of the disconnecting switch is not specifically limited. The fault knowledge graph of the isolating switch can be established according to actual needs. For example, if the fault knowledge map of the disconnecting switch only includes one type of fault, the body data of the disconnecting switch may be screened, so that the body data of the disconnecting switch includes data related to the type of fault. And the isolating switch fault knowledge map can be obtained through the linkage between the isolating switch body hierarchical data.
Classifying the obtained isolation switch body data to obtain isolation switch fault data, which is equivalent to constructing an isolation switch fault library; then, incremental processing is carried out, and the obtained isolating switch body is only data, which is equivalent to the construction of an isolating switch body knowledge base; and finally, carrying out layered processing, and correlating the same-level and same-class data in the knowledge data of the isolating switch body, which is equivalent to the construction of an isolating switch body library. On the basis, the isolation switch fault knowledge graph is constructed by using the data type, the data grade, the data relation and the like contained in the isolation switch body hierarchical data. The existing large amount of data can be visualized, graded and typed through the isolating switch fault knowledge graph. When the fault of the isolating switch needs to be analyzed, the fault knowledge map of the isolating switch can be used for quickly and accurately finding out corresponding fault reasons, fault factors, fault-related structures and other factors, so that the analysis quality of the fault of the isolating switch is improved.
In another embodiment of the present application, as shown in fig. 2, the step of performing hierarchical processing on the knowledge data of the disconnector body to obtain hierarchical data of the disconnector body includes:
201. and cleaning the knowledge data of the isolating switch body.
The isolating switch body knowledge data comprises newly added incremental data, such as unstructured data. And cleaning the knowledge data of the isolating switch body for the quality and precision of subsequent processing. The method is beneficial to improving the overall quality of knowledge data of the isolating switch body. Specifically, in one embodiment, the cleaning may be to unify data types, structures, delete error fields, fix incomplete content, and the like. This embodiment is not particularly limited.
202. And classifying the cleaned knowledge data of the isolating switch body.
In one embodiment, for example, a predetermined classification neural model performs automatic classification. The method aims to carry out preliminary arrangement on knowledge data of the isolating switch body through classification. For example, the regular expression library in Python is used to cooperate with a Natural Language Toolkit (NLTK) to clean and classify the isolation switch ontology data. Specifically, the classification is performed based on a co-word analysis. The knowledge data of the isolating switch body is divided into a plurality of classes through high-frequency keyword analysis, keyword common-word analysis and high-frequency keyword co-occurrence to form a preliminary hierarchical relation.
203. And processing the classified knowledge data of the isolating switch body by using a preset layering algorithm model to obtain the layering data of the isolating switch body.
And classifying by using a hierarchical algorithm model, so that the knowledge data of the isolating switch body is graded and layered to form the relationship among the data, and the method is favorable for constructing the fault knowledge map of the isolating switch.
In another embodiment of the present application, the step of processing the classified knowledge data of the isolator ontology by using a preset hierarchical algorithm model to obtain the hierarchical data of the isolator ontology includes:
301. and carrying out labeling processing on the knowledge data of the isolating switch body by utilizing a factor graph model in the hierarchical algorithm model.
The factor graph model is used for predicting unknown variables and calculating the probability of establishment of each sample. Specifically, each sub-module of data processing is defined in an app.ddlog file by using the syntax of deep dive, and comprises a data table structure, a data preprocessing process, a feature extraction process, a model input and the like. And calling the factor graph model to predict the unmarked sample, and finishing the marking processing. Wherein, the sample refers to the knowledge data of the isolating switch body.
302. And extracting knowledge from the knowledge data of the isolating switch body by using a clustering model in the hierarchical algorithm model to obtain hierarchical data of the isolating switch body.
After cleaning and classifying the knowledge data of the isolating switch body, knowledge is extracted by using a clustering model to obtain the hierarchical data of the isolating switch body.
The knowledge data of the isolating switch body is processed in a layering mode through a layering algorithm, so that the data processing effect is improved, and the data processing quality is guaranteed. And more accurate isolation switch body hierarchical data can be easily obtained, so that the quality of the isolation switch fault knowledge map is improved. When the fault knowledge graph of the isolating switch is used for analyzing the fault of the isolating switch, the accuracy and the quality of an analysis result are improved.
In another embodiment of the present application, the step of constructing the disconnector fault knowledge graph by using the disconnector body hierarchical data includes:
401. and acquiring knowledge graph construction information.
Specifically, in one embodiment, the knowledge graph building information includes isolation switch body component information, i.e., which components of the isolation switch are required; the method comprises the following steps of isolation switch concept combination, relation sets between attributes and isolation switch concepts, inheritance relations between the isolation switch concepts and the like. The method is mainly used for describing the content required to be contained in the fault knowledge graph of the isolating switch.
402. And determining map nodes and relations according to the knowledge map construction information and at least one of a data item class, a data structure class, a data stream class, a data storage class and a processing process class in the hierarchical data of the isolating switch body so as to construct the isolating switch fault knowledge map.
In one embodiment, the hierarchical data of the isolating switch body comprises a data item class, a data structure class, a data flow class, a data storage class and a processing procedure class. Specifically, for example: data item: data item description = { data item name, data item meaning description, alias, data type, length, value range, value meaning, logical relationship with other data items }
Data structure: data structure description = { data structure name, meaning description, composition: { data item or data structure }
Data flow: data flow description = { data flow name, description, data flow source, data flow destination, composition: { data structure }, average flow, peak flow }
Data storage: data storage description = { data storage name, description, number, incoming data stream, outgoing data stream, composition: { data structure }, data volume, access manner }
The treatment process comprises the following steps: process description = { process name, description, input: { data stream }, output: { data stream }, process: { profile } }.
By acquiring knowledge graph construction information, the flexibility of constructing the fault knowledge graph of the isolating switch is improved.
In another embodiment of the present application, the step of performing data increment on the fault data of the isolating switch includes:
501. and acquiring patrol data and ledger data.
The inspection data and the standing book data refer to data related to the isolating switch, specifically data generated by the isolating switch and data generated by equipment connected with the isolating switch. The connection may be an electrical, communication, or mechanical connection.
For ease of understanding, for example, the inspection data includes the number of hours of daily operation of the air compressor, hydraulic oil pump, spring stored energy motor, etc.; air pressure, hydraulic pressure; SF6 gas gauge pressure; the lead wire has no strand feeding and wire breaking, and the gold has no deformation. The standing book data includes a model number, a rated voltage, a rated current, a blocking capacity, a weight, a factory time, a depreciation age and a service life.
502. And adding the inspection data and the standing book data into the isolation switch body data.
And the data volume of the fault data of the isolating switch is enlarged by adding routing inspection data and ledger data. The data relating to the fault of the isolating switch is improved. Therefore, the quality of the constructed fault knowledge map of the isolating switch is improved.
In another embodiment of the present application, as shown in fig. 3, the step of acquiring the body data of the disconnecting switch includes:
601. and acquiring current data acquired by current measuring equipment and torque data acquired by torque measuring equipment.
602. And acquiring the main shaft rotation angle data acquired by the main shaft rotation angle measuring equipment.
603. And acquiring unstructured data acquired by the unstructured data acquisition module.
Wherein, in an embodiment, the unstructured data comprises at least one of video data, image data and text data. Specifically, as shown in fig. 4, the current measuring device employs a feedthrough hall sensor; the torque measuring device is formed by adhering two pairs of strain gauges to an output shaft of a motor of the isolating switch to form a full-bridge strain measuring loop, as shown in fig. 5. The pasting direction of the strain gauge is the main stress direction, and an angle of 45 degrees is formed between the pasting direction of the strain gauge and the output axis of the motor. Under the action of the torque force T, the output voltage of the bridge arm is as follows:
wherein epsilon T For the strain produced by the torque T, K is the sensitivity coefficient of the strain gage, and E is the elastic modulus of the material. For the motor output shaft, the torque T versus torsional strain is:
wherein, W p For torsional section coefficient, d is the cylinder diameter, and E and μ are the elastic modulus and Poisson's ratio, respectively, of the material. According to the above formula, the magnitude of strain is proportional to the output torque. Therefore, the operation torque of the disconnector can be detected by measuring the magnitude of the strain of the output shaft.
In one embodiment, the main shaft rotation angle measuring equipment comprises a gear transmission system, a high-precision photoelectric rotary encoder and a signal conditioning loop.
The unstructured data collection module may be a crawler module or a data retrieval module.
The isolation switch body data is formed by acquiring various types of data, and the integrity of the isolation switch body data is improved. Therefore, the quality of the constructed fault knowledge map of the isolating switch is improved, and the quality of subsequent analysis results is improved.
In another embodiment of the present application, after the obtaining of the disconnector body data, the method further comprises:
701. and carrying out format conversion on the data of the isolating switch body to obtain the data of the isolating switch body with uniform format.
In one embodiment, the data of the isolating switch body is converted into uniform JSON-LD; the unstructured and semi-structured data and structured data such as texts, books, pictures, database tables and the like are uniformly converted into JSON-LD, and a multi-element heterogeneous data ontology base is constructed. The subsequent data processing efficiency is improved.
702. And storing the data of the isolating switch body in a uniform format.
The data of the isolating switch body are stored, so that the subsequent use is facilitated, the time for processing the data is saved, and the cost for constructing the fault knowledge graph of the isolating switch is reduced. In addition, the formats of the data of the isolating switch body are unified, so that the data processing efficiency is improved, the time cost is further saved, and the resource occupation is reduced.
The existing large amount of data can be visualized, graded and typed through the isolating switch fault knowledge graph. When the fault of the isolating switch needs to be analyzed, the fault knowledge map of the isolating switch can be used for quickly and accurately finding out the corresponding fault reason, fault factors, the structure and other factors related to the fault, and the analysis quality of the fault of the isolating switch is improved.
The embodiment of the application also provides a system for constructing the fault knowledge graph of the isolating switch, which comprises an acquisition module 1, a data acquisition module and a data processing module, wherein the acquisition module is used for acquiring the data of the isolating switch body;
the classification module 2 is used for classifying the data of the isolating switch body to obtain fault data of the isolating switch;
the increment module 3 is used for performing data increment on the fault data of the isolating switch to obtain knowledge data of an isolating switch body; the isolating switch body knowledge data comprise added non-structural data;
the layering module 4 is used for carrying out layering processing on the knowledge data of the isolating switch body to obtain layering data of the isolating switch body;
and the building module 5 is used for building the isolating switch fault knowledge map by utilizing the isolating switch body hierarchical data.
Preferably, the layering module 4 comprises a cleaning unit for cleaning the knowledge data of the isolating switch body;
the classification unit is used for classifying the cleaned knowledge data of the isolating switch body;
and the layering unit is used for processing the classified knowledge data of the isolating switch body by using a preset layering algorithm model to obtain the layering data of the isolating switch body.
Preferably, the hierarchical unit includes a labeling subunit, configured to perform labeling processing on the knowledge data of the isolator ontology by using a factor graph model in the hierarchical algorithm model;
and the extraction subunit is used for extracting knowledge from the knowledge data of the isolating switch body by using the clustering model in the hierarchical algorithm model to obtain the hierarchical data of the isolating switch body.
Preferably, the construction module 5 includes a map unit for acquiring knowledge map construction information;
and the construction unit is used for determining map nodes and relations according to the knowledge map construction information and at least one of a data item class, a data structure class, a data flow class, a data storage class and a processing process class in the hierarchical data of the isolating switch body so as to construct the isolating switch fault knowledge map.
Preferably, the increment module 3 includes a data unit, configured to obtain patrol data and ledger data;
and the increment unit is used for adding the inspection data and the standing book data into the data of the isolating switch body.
Preferably, the acquiring module 1 includes a first acquiring unit, configured to acquire current data acquired by a current measuring device and torque data acquired by a torque measuring device;
the second acquisition unit is used for acquiring the main shaft corner data acquired by the main shaft corner measurement equipment;
the third acquisition unit is used for acquiring the unstructured data acquired by the unstructured data acquisition module; the unstructured data comprises at least one of video data, image data and text data.
Preferably, the system further includes a format module, configured to perform format conversion on the isolator body data after the isolator body data is obtained, so as to obtain the isolator body data with a uniform format;
and the storage module is used for storing the data of the isolating switch body in a uniform format.
Here, it should be noted that: the above description applied to the embodiment of the isolating switch fault knowledge graph building system is similar to the above description of the method, and has the same beneficial effects as the method embodiment. For technical details not disclosed in the embodiment of the system for constructing a fault knowledge map of a disconnector according to the invention, a person skilled in the art will understand that reference is made to the description of the embodiment of the method according to the invention.
It should be noted that, in the embodiment of the present invention, if the method is implemented in the form of a software functional module and sold or used as a standalone product, it may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
Correspondingly, the embodiment of the application also discloses a storage medium which stores a computer program capable of being loaded by a processor and executing the method.
The embodiment of the present application further discloses a device for constructing a fault knowledge graph of a disconnecting switch, as shown in fig. 7, which includes a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400, and a memory 500. Wherein the communication bus 200 is configured to enable connective communication between these components. Wherein the user interface 300 may comprise a display screen and the external communication interface 400 may comprise a standard wired interface and a wireless interface. The memory 500 stores therein a method for constructing a fault knowledge graph of the disconnecting switch. Wherein the processor 100 is configured to employ the method described above in performing the method of constructing the knowledge graph of the fault of the disconnector stored in the memory 500.
The above description applied to the embodiment of the isolating switch fault knowledge graph constructing device and the storage medium is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment. For technical details not disclosed in the embodiments of the apparatus for constructing a fault knowledge map of a disconnector and a storage medium according to the present invention, reference is made to the description of the embodiments of the method according to the present invention for understanding.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a device to perform all or part of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media that can store program code, such as removable storage devices, ROMs, magnetic or optical disks, etc.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A method for constructing a fault knowledge graph of an isolating switch is characterized by comprising the following steps:
acquiring isolation switch body data;
classifying the data of the isolating switch body to obtain fault data of the isolating switch;
performing data increment on the fault data of the isolating switch to obtain knowledge data of an isolating switch body; the isolating switch body knowledge data comprises added non-structural data;
carrying out hierarchical processing on the knowledge data of the isolating switch body to obtain hierarchical data of the isolating switch body;
and constructing a disconnecting switch fault knowledge map by using the disconnecting switch body hierarchical data.
2. The method for constructing the fault knowledge graph of the isolating switch according to claim 1, wherein the step of performing hierarchical processing on the knowledge data of the isolating switch body to obtain hierarchical data of the isolating switch body comprises the following steps:
cleaning the knowledge data of the isolating switch body;
classifying the cleaned knowledge data of the isolating switch body;
and processing the classified knowledge data of the isolating switch body by using a preset layering algorithm model to obtain the layering data of the isolating switch body.
3. The method for constructing a fault knowledge graph of a disconnecting switch according to claim 2, wherein the step of processing the classified knowledge data of the disconnecting switch body by using a preset hierarchical algorithm model to obtain the hierarchical data of the disconnecting switch body comprises the following steps:
marking the knowledge data of the isolating switch body by using a factor graph model in the hierarchical algorithm model;
and extracting knowledge from the knowledge data of the isolating switch body by using a clustering model in the hierarchical algorithm model to obtain hierarchical data of the isolating switch body.
4. The method of constructing a disconnector fault knowledge-graph according to claim 1, characterized in that the step of constructing a disconnector fault knowledge-graph using the disconnector body hierarchy data comprises:
acquiring knowledge graph construction information;
and determining map nodes and relations according to the knowledge map construction information and at least one of a data item class, a data structure class, a data stream class, a data storage class and a processing process class in the hierarchical data of the isolating switch body so as to construct the isolating switch fault knowledge map.
5. The method of constructing a fault knowledge graph of a disconnector according to claim 1, wherein the step of data incrementing the disconnector fault data comprises:
acquiring patrol data and standing book data;
and adding the inspection data and the standing book data into the isolation switch body data.
6. The method of constructing a fault knowledge graph of a disconnector according to claim 1, wherein the step of obtaining disconnector body data comprises:
acquiring current data acquired by current measuring equipment and torque data acquired by torque measuring equipment;
acquiring main shaft rotation angle data acquired by main shaft rotation angle measuring equipment;
acquiring unstructured data acquired by an unstructured data acquisition module; the unstructured data includes at least one of video data, image data, and text data.
7. The method of constructing a disconnector fault knowledge-graph according to claim 1, characterized in that after said obtaining disconnector ontology data, the method further comprises:
carrying out format conversion on the data of the isolating switch body to obtain the data of the isolating switch body with uniform format;
and storing the data of the isolating switch body in a uniform format.
8. The isolating switch fault knowledge map construction system is characterized by comprising an acquisition module, a fault analysis module and a fault analysis module, wherein the acquisition module is used for acquiring data of an isolating switch body;
the classification module is used for classifying the data of the isolating switch body to obtain fault data of the isolating switch;
the increment module is used for performing data increment on the isolating switch fault data to obtain isolating switch body knowledge data; the isolating switch body knowledge data comprises added non-structural data;
the layering module is used for carrying out layering processing on the knowledge data of the isolating switch body to obtain layering data of the isolating switch body;
and the building module is used for building the isolating switch fault knowledge map by utilizing the isolating switch body hierarchical data.
9. An isolating switch fault knowledge map construction device, which comprises a memory and a processor, and is characterized in that the memory stores an isolating switch fault knowledge map construction method, and the processor is used for adopting the isolating switch fault knowledge map construction method according to any one of claims 1 to 7 when executing the isolating switch fault knowledge map construction method.
10. A storage medium storing a computer program which can be loaded by a processor and which executes the method according to any one of claims 1 to 7.
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| CN116611593A (en) * | 2023-07-21 | 2023-08-18 | 蘑菇物联技术（深圳）有限公司 | Method, device and medium for predicting failure of air compressor |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116611593A (en) * | 2023-07-21 | 2023-08-18 | 蘑菇物联技术（深圳）有限公司 | Method, device and medium for predicting failure of air compressor |
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