CN115865620A - Flexible direct current converter transformer warning knowledge system - Google Patents
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Abstract
The invention provides a flexible direct current converter alarm knowledge system, which comprises: the data acquisition module is used for acquiring historical alarm data generated when the flexible direct current is subjected to current transformation, and analyzing the historical alarm data to determine alarm types corresponding to different historical alarm data; the relation determining module is used for determining the incidence relation among different alarm types based on the conversion characteristics of the flexible direct current during current conversion, and constructing a flexible direct current converter alarm knowledge graph based on the incidence relation; and the alarm module is used for mapping the real-time alarm data generated in the flexible direct current converter transformer process on the flexible direct current converter transformer alarm knowledge map and outputting alarm knowledge corresponding to the real-time alarm data based on the mapping result. The method and the device are convenient for quickly and effectively determining the abnormal reason and the abnormal type when the abnormity occurs, improve the efficiency of solving the abnormity occurs in the flexible direct current converter process, and ensure the stable conversion of the flexible direct current converter.
Description
Technical Field
The invention relates to the technical field of data processing and monitoring alarm, in particular to a flexible direct current converter alarm knowledge system.
Background
The flexible direct current converter converts flexible direct current into alternating current to realize stable and reliable power supply for electrical appliances, and compared with common direct current, the flexible direct current can be continuously controlled in both the magnitude and the direction, so that convenience is provided for power supply of the appliances;
however, the flexible direct current needs to be converted, and the conversion process involves multiple steps, and when there is an abnormality or error in the conversion step, the conversion of the flexible direct current fails;
at present, no mature technology in the market can quickly and accurately analyze abnormal conditions occurring in the flexible-direct current converter transformer process, and manual experience is mostly adopted to manually analyze each conversion step, so that fault information generated in the flexible-direct current converter transformer process cannot be found in time, and the alarm type, alarm knowledge and alarm reason of the fault cannot be locked in time when the fault occurs, so that the flexible-direct current converter transformer standard conversion efficiency is reduced;
therefore, the invention provides a flexible direct current transformer alarm knowledge system.
Disclosure of Invention
The invention provides a flexible direct current converter transformer alarm knowledge system which is used for acquiring fault types involved in current conversion of flexible direct current, constructing an alarm knowledge graph according to the acquired alarm knowledge graph, realizing accurate and effective arrangement of flexible direct current converter transformer alarm knowledge, analyzing generated real-time alarm data according to the alarm knowledge graph, realizing accurate and reliable analysis of alarm knowledge of faults generated in the flexible direct current converter transformer process, facilitating quick and effective determination of abnormal reasons and abnormal types when the faults occur, improving the efficiency of solving the faults generated in the flexible direct current converter transformer process, and ensuring stable conversion of the flexible direct current transformer.
The invention provides a flexible direct current converter alarm knowledge system, which comprises:
the data acquisition module is used for acquiring historical alarm data generated when the flexible direct current is subjected to current conversion, and analyzing the historical alarm data to determine alarm types corresponding to different historical alarm data;
the relation determining module is used for determining the incidence relation among different alarm types based on the conversion characteristics of the flexible direct current during current conversion, and constructing a flexible direct current converter alarm knowledge graph based on the incidence relation;
and the alarm module is used for mapping the real-time alarm data generated in the flexible-direct current converter transformer process on the flexible-direct current converter transformer alarm knowledge map and outputting alarm knowledge corresponding to the real-time alarm data based on the mapping result.
Preferably, the flexible direct current converter alarm knowledge system includes a data acquisition module:
the instruction generating unit is used for acquiring service composition when the flexible direct current is subjected to current transformation, generating a data acquisition instruction based on the service composition and transmitting the data acquisition instruction to a preset server;
the data retrieval unit is used for analyzing the data acquisition instruction based on a preset server, extracting a data type identifier in the data acquisition instruction and retrieving a preset database based on the data type identifier;
the data acquisition unit is used for obtaining initial historical alarm data based on the retrieval result and carrying out format conversion on the initial historical alarm data based on the configuration parameters of the data calling interface to obtain final historical alarm data;
and the data transmission unit is used for feeding back the final historical alarm data to the data receiving end.
Preferably, the flexible direct current converter alarm knowledge system includes a data acquisition unit, including:
the data acquisition subunit is used for receiving the fed back historical alarm data based on the data receiving end, determining a first screening condition for the historical alarm data based on the data acquisition purpose, and performing first screening on the historical alarm data based on the first screening condition to obtain a first alarm data set;
the data filtering subunit is used for acquiring data characteristics of preset noise data, determining a second screening condition for the first alarm data set based on the data characteristics, and performing second screening on the first alarm data set based on the second screening condition to obtain a second alarm data set;
and the data integration subunit is used for arranging and integrating the historical alarm data in the second alarm data set to obtain target historical alarm data.
Preferably, the flexible direct current converter alarm knowledge system includes a data acquisition module:
the data calling unit is used for acquiring the obtained historical alarm data and carrying out serialization processing on the historical alarm data to obtain a character string corresponding to the historical alarm data;
the data feature extraction unit is used for determining the data dimension of the historical alarm data and respectively extracting the data feature under each data dimension;
and the type determining unit is used for acquiring an alarm rule corresponding to the current transformation of the flexible direct current, training the alarm rule to obtain an alarm type identification model, and inputting the data characteristics under each data dimension into the alarm type identification model for analysis to obtain alarm types corresponding to different historical alarm data.
Preferably, the relation determining module of the flexible direct current converter alarm knowledge system includes:
the rule determining unit is used for obtaining a conversion process when the flexible direct current is subjected to current conversion, determining conversion steps contained in the conversion process based on conversion characteristics when the flexible direct current is subjected to current conversion, and extracting first alarm rules corresponding to the conversion steps, wherein each alarm rule corresponds to one alarm type;
the analysis unit is used for constructing an alarm similarity matrix based on the first alarm rule, constructing a causal relationship matrix based on the sequence of the transformation steps included in the transformation process, and determining the interaction relationship between the first alarm rules corresponding to the transformation steps based on the alarm similarity matrix and the causal relationship matrix;
the correlation analysis unit is used for determining a first correlation between the root node alarm types corresponding to the first alarm rule based on the interaction relation, determining a second alarm rule corresponding to the sub-step included in each conversion step, and determining a second correlation between the branch node alarm types corresponding to the second alarm rule based on the business correlation attribute between the sub-steps;
and the incidence relation determining unit is used for obtaining the final incidence relation among different alarm types based on the first incidence relation and the second incidence relation.
Preferably, the flexible direct current converter alarm knowledge system includes an association relation determining unit:
the incidence relation obtaining subunit is used for obtaining the final incidence relation among different alarm types, obtaining alarm characteristics of the different alarm types, and selecting the alarm type to be detected according to sampling detection based on the alarm characteristics;
the checking subunit is used for giving corresponding fault data when the flexible direct current is subjected to current conversion based on the alarm type to be detected, monitoring an alarm result generated when the flexible direct current is subjected to current conversion based on the giving result, and obtaining the confidence coefficient of the final association relation among different alarm types based on the alarm result;
and the map construction subunit is used for constructing an alarm knowledge map frame by taking the alarm type as the node when the confidence coefficient is greater than or equal to a preset confidence coefficient threshold, determining a topological structure among the nodes in the alarm knowledge map frame based on the final association relationship among different alarm types, and obtaining the alarm knowledge map based on the topological result.
Preferably, the flexible direct current transformer warning knowledge system includes a graph construction subunit, and includes:
the map construction subunit is also used for determining the frequency of different alarm types based on the historical alarm data and determining the weights of different alarm type nodes of the initial alarm knowledge map based on the frequency of different alarm types;
and the map optimization subunit is used for determining a display mode of the visual image of the corresponding alarm type node in the alarm knowledge map based on the weight, and adapting the obtained alarm knowledge map based on the display mode to obtain the final alarm knowledge map.
Preferably, the flexible direct current transformer warning knowledge system includes a graph construction subunit, and includes:
the data updating subunit is used for acquiring real-time fault data generated when the flexible direct current is subjected to current transformation, crawling flexible direct current converter transformer alarm data from a preset website, and performing similarity retrieval on the real-time fault data and the flexible direct current converter transformer alarm data and the constructed alarm knowledge graph to obtain target updating alarm data;
the request subunit is used for generating a map updating instruction based on the target updating alarm data and sending a map updating request to the server based on the map updating instruction;
and the map updating subunit is used for determining a target node of which the target updating alarm data and the alarm knowledge map have an association relation when the server performs update permission feedback, generating a sub alarm knowledge map from the target updating alarm data, and summarizing the sub alarm knowledge map and the target node in the alarm knowledge map to complete the updating of the alarm knowledge map.
Preferably, the flexible direct current converter alarm knowledge system includes an alarm module:
the monitoring unit is used for setting a monitoring node for the flexible-direct current converter transformer process, monitoring the flexible-direct current converter transformer process in real time based on the monitoring node, and acquiring real-time alarm data based on the monitoring node when the flexible-direct current converter transformer process is abnormal;
the matching unit is used for mapping the real-time alarm data in the alarm types of the root nodes and the alarm types of the branch nodes in sequence to obtain the similarity between the real-time alarm data and each alarm type in the alarm knowledge graph;
the alarm knowledge summarizing unit is used for comparing the similarity with a preset similarity threshold, determining the alarm type with the similarity larger than or equal to the preset similarity threshold as a target alarm type, and extracting alarm knowledge corresponding to the target alarm type;
and the alarm knowledge summarizing unit is used for summarizing the alarm knowledge in a preset data table to obtain an alarm knowledge summarizing table.
Preferably, the flexible direct current converter alarm knowledge system includes an alarm knowledge summarizing unit, which includes:
the form acquisition subunit is used for acquiring the obtained alarm knowledge summary form, determining a communication address corresponding to the management terminal and constructing a data transmission link based on the communication address;
and the transmission subunit is used for transmitting the obtained alarm knowledge summary table to the management terminal based on the data transmission link and sending an alarm prompt to the management terminal.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a flexible direct current converter alarm knowledge system according to an embodiment of the present invention;
FIG. 2 is a block diagram of a data acquisition module in a flexible-to-direct current converter alarm knowledge system according to an embodiment of the present invention;
fig. 3 is a structural diagram of a relationship determination module in a flexible-direct current converter alarm knowledge system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the embodiment provides a flexible direct current converter alarm knowledge system, as shown in fig. 1, including:
the data acquisition module is used for acquiring historical alarm data generated when the flexible direct current is subjected to current transformation, and analyzing the historical alarm data to determine alarm types corresponding to different historical alarm data;
the relation determining module is used for determining the incidence relation among different alarm types based on the conversion characteristics of the flexible direct current during current conversion, and constructing a flexible direct current converter alarm knowledge graph based on the incidence relation;
and the alarm module is used for mapping the real-time alarm data generated in the flexible direct current converter transformer process on the flexible direct current converter transformer alarm knowledge map and outputting alarm knowledge corresponding to the real-time alarm data based on the mapping result.
In this embodiment, the current conversion of the flexible direct current refers to converting the flexible direct current into an alternating current, wherein the flexible direct current is a direct current power supply whose current direction and magnitude can be controlled.
In this embodiment, the historical warning data refers to warning information corresponding to an abnormality occurring when the flexible direct current performs current conversion, and may specifically include an abnormality degree, an abnormality frequency, and the like.
In this embodiment, the alarm type refers to an alarm type corresponding to different historical alarm data, and may specifically be a voltage abnormality alarm type or a conversion failure alarm type when the current and voltage obtained after conversion is not within a preset range.
In this embodiment, the conversion characteristic refers to a conversion method or a condition required for conversion when converting the flexible direct current into the alternating current.
In this embodiment, the association relationship is used to represent the dependency relationship or the causal relationship between different alarm types, so as to more effectively determine the relationship between the alarm knowledge of the flexible-to-direct current converter transformer.
In this embodiment, the flexible direct current converter alarm knowledge graph is used to show all alarm types included in the flexible direct current converter process and the association relationship between the alarm types.
In this embodiment, the real-time alarm data refers to failure data that grows when a failure occurs in the flexible-direct-current converter process.
In this embodiment, the alarm knowledge refers to an alarm type corresponding to real-time alarm data generated in the flexible-to-direct current converter transformer process, and a specific fault feature corresponding to the alarm type.
The beneficial effects of the above technical scheme are: the fault type that involves when carrying out the current transformation to flexible direct current obtains to report an emergency and ask for help or increased vigilance knowledge map according to obtaining to establish, realize reporting an emergency and asking for help or increased vigilance knowledge to flexible direct current change and changing the arrangement that the knowledge was reported an emergency and asked for help or increased vigilance in real time that the knowledge map was reported an emergency and asked for help or increased vigilance to the real-time data of reporting an emergency and ask for help or increased vigilance of production, the realization is to flexible direct current change in-process and produce the warning knowledge of trouble and carry out accurate reliable analysis, be convenient for when taking place unusually quick effectual abnormal reason and the unusual type of confirming, the efficiency of solving the flexible direct current change in-process and taking place unusually has improved, the stable conversion of flexible direct current change has been ensured.
Example 2:
on the basis of embodiment 1, this embodiment provides a flexible direct current converter alarm knowledge system, as shown in fig. 2, the data acquisition module includes:
the instruction generating unit is used for acquiring service composition when the flexible direct current is subjected to current transformation, generating a data acquisition instruction based on the service composition and transmitting the data acquisition instruction to a preset server;
the data retrieval unit is used for analyzing the data acquisition instruction based on a preset server, extracting a data type identifier in the data acquisition instruction and retrieving a preset database based on the data type identifier;
the data acquisition unit is used for obtaining initial historical alarm data based on the retrieval result and carrying out format conversion on the initial historical alarm data based on the configuration parameters of the data calling interface to obtain final historical alarm data;
and the data transmission unit is used for feeding back the final historical alarm data to the data receiving end.
In this embodiment, the service configuration refers to the conversion components that need to be involved when the flexible direct current is used for current conversion, the execution function type of each conversion component, and the like.
In this embodiment, the data acquisition instruction refers to all alarm data involved in controlling preset server callability dc to perform current transformation.
In this embodiment, the preset server is a preset intermediate tool for communicating the data acquisition end with the preset database.
In this embodiment, the data type identifier is a tag label for characterizing the data type to be acquired included in the data acquisition instruction.
In this embodiment, the preset database is set in advance and is used for storing all alarm data generated when the current conversion is performed on the linear direct current.
In this embodiment, the initial historical alarm data refers to a retrieval result obtained by retrieving the preset database according to the data type identifier, that is, the alarm data corresponding to the data type identifier, where a data format of the alarm data is consistent with a format requirement of the preset database.
In this embodiment, the configuration parameters of the data call interface refer to parameters such as a requirement of the data receiving end on the data format of the data to be received and a requirement on the data type.
The beneficial effects of the above technical scheme are: the method comprises the steps of accurately and effectively determining the service composition when the flexible direct current is subjected to current transformation, accurately and reliably obtaining the alarm data type identification to be obtained according to the service composition, finally effectively retrieving historical alarm data from a preset database according to the data type identification, and feeding the retrieved historical alarm data back to a data receiving end after format conversion, so that the accuracy of obtaining the historical alarm data involved in the current transformation of the flexible direct current is guaranteed, and convenience and guarantee are provided for constructing the flexible direct current transformation alarm knowledge map.
Example 3:
on the basis of embodiment 2, this embodiment provides a flexible direct current converter alarm knowledge system, and the data acquisition unit includes:
the data acquisition subunit is used for receiving the fed back historical alarm data based on the data receiving end, determining a first screening condition for the historical alarm data based on the data acquisition purpose, and performing first screening on the historical alarm data based on the first screening condition to obtain a first alarm data set;
the data filtering subunit is used for acquiring the data characteristics of the preset noise data, determining a second screening condition for the first alarm data set based on the data characteristics, and performing second screening on the first alarm data set based on the second screening condition to obtain a second alarm data set;
and the data integration subunit is used for arranging and integrating the historical alarm data in the second alarm data set to obtain target historical alarm data.
In this embodiment, the data acquisition purpose is to characterize the type, the amount, and the like of the historical alarm data that needs to be acquired.
In this embodiment, the first filtering condition refers to determining a data type included in the acquired historical alarm data, so as to eliminate data types that do not meet the data acquisition purpose.
In this embodiment, the first alarm data set refers to a data set obtained by removing alarm data corresponding to an unnecessary data type in a historical alarm data set according to a first screening condition.
In this embodiment, the preset noise data is set in advance, and specifically, is interference data that affects the historical alarm data.
In this embodiment, the data characteristics may be a data value range of the preset noise data, and a corresponding data type and data characteristics.
In this embodiment, the second filtering condition refers to a data filtering condition determined according to a data characteristic of preset noise data, and is used for removing noise data in the first alarm data set.
In this embodiment, the second alarm data set refers to historical alarm data obtained by removing noise data included in the first alarm data set.
In this embodiment, the target historical alarm data refers to final historical alarm data obtained after extracting noise data and a data type that does not belong to the acquisition requirement in the acquired historical alarm data.
The beneficial effects of the above technical scheme are: accurate and strict data screening of the acquired historical alarm data is realized by determining a first screening condition and a second screening condition of the acquired historical alarm data, so that the accurate reliability of the finally acquired historical alarm data is guaranteed, and convenience and guarantee are provided for accurately and effectively determining alarm knowledge of the flexible-to-direct converter.
Example 4:
on the basis of embodiment 1, this embodiment provides a flexible direct current transformer warning knowledge system, and the data acquisition module includes:
the data calling unit is used for acquiring the obtained historical alarm data and carrying out serialization processing on the historical alarm data to obtain a character string corresponding to the historical alarm data;
the data feature extraction unit is used for determining the data dimension of the historical alarm data and respectively extracting the data feature under each data dimension;
and the type determining unit is used for acquiring an alarm rule corresponding to the current transformation of the flexible direct current, training the alarm rule to obtain an alarm type identification model, and inputting the data characteristics under each data dimension into the alarm type identification model for analysis to obtain alarm types corresponding to different historical alarm data.
In this embodiment, the serialization processing refers to converting the acquired historical alarm data into a corresponding character string form.
In this embodiment, the character string refers to the minimum component unit corresponding to different historical alarm data, that is, the specific data content corresponding to the historical alarm data.
In this embodiment, the data dimension is used to characterize the data category included in the historical alarm data.
In this embodiment, the data characteristics in each data dimension refer to data value ranges of different types of historical alarm data, association relationships between data, and the like.
In this embodiment, the alarm rule is a criterion for limiting the alarm for performing the current transformation on the flexible direct current, and specifically may be to perform a corresponding alarm operation when the voltage value is higher or lower than a certain value.
In this embodiment, the alarm type identification model is obtained by training according to alarm rules, and each alarm rule corresponds to one alarm type.
The beneficial effects of the above technical scheme are: the method has the advantages that the acquired historical alarm data are processed, so that the data characteristics of the historical alarm data are accurately and effectively extracted, meanwhile, the alarm rule corresponding to the current transformation is trained according to the flexible direct current to obtain the alarm type identification model, the data characteristics of the historical alarm data are accurately and effectively processed through the alarm type identification model, the alarm type of the historical alarm data is accurately and effectively locked, the alarm knowledge of faults generated in the flexible direct current transformation process is accurately and reliably analyzed, and the abnormal reason and the abnormal type can be quickly and effectively determined when the abnormity occurs.
Example 5:
on the basis of embodiment 1, this embodiment provides a flexible direct current converter alarm knowledge system, as shown in fig. 3, where the relationship determining module includes:
the rule determining unit is used for obtaining a conversion process when the flexible direct current is subjected to current conversion, determining conversion steps contained in the conversion process based on conversion characteristics when the flexible direct current is subjected to current conversion, and extracting first alarm rules corresponding to the conversion steps, wherein each alarm rule corresponds to one alarm type;
the analysis unit is used for constructing an alarm similarity matrix based on the first alarm rule, constructing a causal relationship matrix based on the sequence of the transformation steps included in the transformation process, and determining the interaction relationship between the first alarm rules corresponding to the transformation steps based on the alarm similarity matrix and the causal relationship matrix;
the correlation analysis unit is used for determining a first correlation between the root node alarm types corresponding to the first alarm rule based on the interaction relation, determining a second alarm rule corresponding to the sub-step included in each conversion step, and determining a second correlation between the branch node alarm types corresponding to the second alarm rule based on the business correlation attribute between the sub-steps;
and the incidence relation determining unit is used for obtaining the final incidence relation between different alarm types based on the first incidence relation and the second incidence relation.
In this embodiment, the conversion process is a conversion step involved in representing the flexible direct current to perform current conversion, and specifically may be voltage conversion, current conversion, and the like.
In this embodiment, the conversion characteristic refers to a processing mode or a processing method for the flexible direct current in the flexible direct current conversion process.
In this embodiment, the conversion step refers to a processing link included in the conversion flow, and the conversion steps depend on each other.
In this embodiment, the first alarm rule refers to alarm criteria or alarm conditions corresponding to different transformation steps, the transformation process includes a plurality of transformation steps, and each transformation step includes a plurality of processing links.
In this embodiment, the alarm similarity matrix refers to a matrix format that shows the first alarm rules corresponding to different transformation steps, so as to determine the association relationship between different alarm types according to the alarm rules.
In this embodiment, the causal relationship matrix is used to characterize the interaction relationship between different transformation steps, and facilitates determining the association relationship between different alarm types.
In this embodiment, the interaction relationship between the first alarm rules is a mutual limiting relationship used for representing that the first alarm rules corresponding to different transformation steps are abnormal in the flexible direct current transformation process, that is, what type of alarm is performed according to what type of first alarm rule.
In this embodiment, the root node alarm type refers to an alarm type corresponding to an alarm rule corresponding to different transformation steps, that is, an alarm type corresponding to each large transformation step included in the transformation flow.
In this embodiment, the first association relationship is used to characterize association relationships between different root node alarm types, that is, association relationships between alarm types corresponding to each transformation step.
In this embodiment, the sub-step refers to a small step included in different transformation steps, and specifically, when the transformation step is voltage transformation, the sub-step is a transformation step related to voltage transformation.
In this embodiment, the second alarm rule is a criterion or condition for limiting the small steps included in each conversion step to alarm for the presence of an abnormal condition in the process of carrying out the flexible direct current conversion.
In this embodiment, the service association attribute refers to a service association relationship between different sub-steps, that is, an interaction relationship between different sub-steps for processing the flexible direct current converter.
In this embodiment, the branch node alarm type refers to an alarm type corresponding to an alarm rule corresponding to the sub-step, and may specifically be a corresponding alarm type when an abnormality occurs in a certain small step in the voltage transformation.
In this embodiment, the second association is used to characterize association between different branch node alarm types, that is, association between alarm types corresponding to each sub-step.
The beneficial effects of the above technical scheme are: the conversion steps contained in the conversion flow and the nourishing porridge contained in each conversion step are accurately and effectively determined according to the conversion characteristics by determining the conversion flow corresponding to the flexible-direct current conversion transformer, and then, the association relation between different alarm types is accurately and effectively determined by determining the alarm rules corresponding to different conversion steps and sub-steps and based on the alarm rules, so that the alarm knowledge of faults generated in the flexible-direct current conversion transformer process is accurately and reliably analyzed, the abnormal reason and the abnormal type are quickly and effectively determined when the abnormity occurs, and the stable conversion of the flexible-direct current conversion transformer is ensured.
Example 6:
on the basis of embodiment 5, this embodiment provides a flexible direct current converter alarm knowledge system, and the association relationship determining unit includes:
the incidence relation obtaining subunit is used for obtaining the final incidence relation among different alarm types, obtaining the alarm characteristics of the different alarm types, and selecting the alarm type to be detected according to sampling detection based on the alarm characteristics;
the checking subunit is used for giving corresponding fault data when the flexible direct current is subjected to current transformation based on the alarm type to be detected, monitoring an alarm result generated when the flexible direct current is subjected to current transformation based on the giving result, and obtaining the confidence coefficient of the final incidence relation among different alarm types based on the alarm result;
and the map construction subunit is used for constructing an alarm knowledge map frame by taking the alarm type as the node when the confidence coefficient is greater than or equal to a preset confidence coefficient threshold, determining a topological structure among the nodes in the alarm knowledge map frame based on the final association relationship among different alarm types, and obtaining the alarm knowledge map based on the topological result.
In this embodiment, the alarm characteristics refer to alarm characteristics corresponding to different alarm types, and may specifically be an alarm mode and the like.
In this embodiment, the alarm type to be tested refers to an alarm type that needs to be verified and selected from a plurality of different alarm types according to the alarm characteristics.
In this embodiment, the fault data is set in advance, and is alarm data corresponding to the type of alarm to be detected.
In this embodiment, the confidence level is used to represent the reliability of the association relationship between different alarm types, and a larger value of the confidence level indicates that the determined association relationship between the alarm types is more accurate.
In this embodiment, the preset confidence threshold is set in advance, is used to represent a value meeting the minimum confidence requirement, and may be adjusted.
In this embodiment, the alarm knowledge graph framework refers to that alarm knowledge nodes are constructed according to alarm types, and the association relationship between the nodes cannot be shown.
In this embodiment, the topology is used to characterize the relationship between different alarm types, so as to facilitate the display of the interaction between the alarm types in the knowledge graph.
The beneficial effects of the above technical scheme are: the method has the advantages that the alarm type to be detected is selected through sampling monitoring, the alarm result of the alarm type to be detected is checked, the determined incidence relation of different alarm types is accurately and effectively determined, and when the check is passed, the alarm knowledge graph corresponding to the flexible-direct-current converter transformer is accurately and effectively constructed according to different alarm types and the incidence relation among different alarm types, so that the abnormal reason and the abnormal type can be rapidly and effectively determined when the abnormity occurs, and the abnormity efficiency of solving the abnormity occurrence in the flexible-direct-current converter transformer process is improved.
Example 7:
on the basis of embodiment 6, this embodiment provides a flexible direct current transformer alarm knowledge system, and the graph building subunit includes:
the map construction subunit is also used for determining the frequency of different alarm types based on the historical alarm data and determining the weights of different alarm type nodes of the initial alarm knowledge map based on the frequency of different alarm types;
and the map optimization subunit is used for determining a display mode of the visual image of the corresponding alarm type node in the alarm knowledge map based on the weight, and adapting the obtained alarm knowledge map based on the display mode to obtain the final alarm knowledge map.
In this embodiment, the frequency is used to characterize the number of occurrences of different alarm types in the flexible direct current converter process.
In this embodiment, the display mode of the image is a mode for displaying the alarm type nodes with different weights, and specifically, the alarm type with a larger weight value may be displayed by using a larger font.
In this embodiment, adapting the obtained alarm knowledge graph based on the display mode means performing adaptive adjustment on the display mode of each alarm type node in the obtained initial alarm knowledge graph according to the determined display mode, so as to ensure the accuracy and reliability of the constructed alarm knowledge graph.
The beneficial effects of the above technical scheme are: the frequency of different alarm types in the flexible-direct current converter transformer process is determined, so that accurate and reliable analysis of the weights of the different alarm types is achieved, secondly, adaptation is performed according to the display mode of the visual image of each alarm type node in the initial alarm knowledge graph, so that the accuracy and effectiveness of the finally obtained alarm knowledge graph are guaranteed, the abnormal reason and the abnormal type can be rapidly and effectively determined when abnormality occurs, and accurate and effective locking of the alarm knowledge corresponding to the alarm types is improved.
Example 8:
on the basis of embodiment 6, this embodiment provides a flexible direct current transformer warning knowledge system, and the map building subunit includes:
the data updating subunit is used for acquiring real-time fault data generated when the flexible direct current is subjected to current transformation, crawling flexible direct current converter transformer alarm data from a preset website, and performing similarity retrieval on the real-time fault data and the flexible direct current converter transformer alarm data and the constructed alarm knowledge graph to obtain target updating alarm data;
the request subunit is used for generating a map updating instruction based on the target updating alarm data and sending a map updating request to the server based on the map updating instruction;
and the map updating subunit is used for determining a target node of which the target updating alarm data and the alarm knowledge map have an association relation when the server performs update permission feedback, generating a sub alarm knowledge map from the target updating alarm data, and summarizing the sub alarm knowledge map and the target node in the alarm knowledge map to complete the updating of the alarm knowledge map.
In this embodiment, the real-time fault data refers to the latest fault data generated during the flexible-direct-current converter.
In this embodiment, the preset website is set in advance and is used for crawling the alarm data related to the flexible direct current converter.
In this embodiment, the similarity retrieval is to determine whether the constructed knowledge graph includes currently acquired real-time fault data and to crawl flexible direct current converter alarm data from a preset website.
In this embodiment, the target update alarm data refers to alarm data included in the alarm knowledge graph.
In this embodiment, the target node refers to an alarm type in the constructed alarm knowledge graph, which has an association relationship with the current target update alarm data.
In this embodiment, the sub-alarm knowledge graph refers to an alarm knowledge graph generated according to target update alarm data, and is intended to update the constructed alarm knowledge graph in real time.
The beneficial effects of the above technical scheme are: the similarity detection is carried out on the constructed alarm knowledge graph according to the obtained real-time alarm data and the flexible direct current converter alarm data crawled from the preset website, so that the target update alarm data is accurately and effectively determined, secondly, the target nodes with the incidence relation between the target update alarm data and the alarm knowledge graph are determined, the sub alarm knowledge graph corresponding to the target update alarm data is integrated with the constructed alarm knowledge graph, and the alarm is timely and accurately updated, so that the abnormal reason and the abnormal type can be rapidly and effectively determined when the abnormity occurs, the efficiency of solving the abnormity in the flexible direct current converter process is improved, and the stable conversion of the flexible direct current converter is ensured.
Example 9:
on the basis of embodiment 1, this embodiment provides a flexible direct current transformer warning knowledge system, and the warning module includes:
the monitoring unit is used for setting a monitoring node for the flexible-to-direct current converter transformer process, monitoring the flexible-to-direct current converter transformer process in real time based on the monitoring node, and acquiring real-time alarm data based on the monitoring node when the flexible-to-direct current converter transformer process is abnormal;
the matching unit is used for mapping the real-time alarm data in the alarm types of the root nodes and the alarm types of the branch nodes in sequence to obtain the similarity between the real-time alarm data and each alarm type in the alarm knowledge graph;
the alarm knowledge summarizing unit is used for comparing the similarity with a preset similarity threshold, determining the alarm type with the similarity larger than or equal to the preset similarity threshold as a target alarm type, and extracting the alarm knowledge corresponding to the target alarm type;
and the alarm knowledge summarizing unit is used for summarizing the alarm knowledge in a preset data table to obtain an alarm knowledge summarizing table.
In this embodiment, the monitoring node is for monitoring the flexible-to-direct current converter process in real time.
In this embodiment, the step of mapping the real-time alarm data in the root node alarm type and the branch node alarm type in sequence means that the real-time alarm data is matched with the root node alarm type and the branch node alarm type in sequence, so that the alarm type and the alarm knowledge corresponding to the real-time alarm data are accurately and effectively determined.
In this embodiment, the similarity is used to represent the similarity between the real-time alarm data and each alarm type in the alarm knowledge graph.
In this embodiment, the preset similarity threshold is set in advance, is used for characterizing that the minimum data requirement for matching is met, and can be adjusted.
In this embodiment, the target alarm type refers to an alarm type in the alarm knowledge graph that matches the real-time alarm data.
In this embodiment, the alarm knowledge refers to a fault reason corresponding to the alarm type, a fault phenomenon corresponding to the alarm type, and the like.
In this embodiment, the preset data table is set in advance and used for storing the alarm knowledge obtained by mapping.
In this embodiment, the alarm knowledge summary table refers to a report obtained by summarizing alarm knowledge corresponding to real-time fault data in a preset data table.
In this embodiment, obtaining the similarity between the real-time alarm data and each alarm type in the alarm knowledge graph includes:
acquiring the number of data items of which the real-time alarm data and each alarm type in the alarm knowledge graph have a mutual correlation relationship, and calculating the similarity between the real-time alarm data and each alarm type in the alarm knowledge graph based on the number of the data items, wherein the method specifically comprises the following steps:
calculating the similarity between the real-time alarm data and each alarm type in the alarm knowledge graph according to the following formula:
wherein, the first and the second end of the pipe are connected with each other,
the similarity of the real-time alarm data and each alarm type in the alarm knowledge graph is represented, and the value range is (0, 1); i represents the number of current data items with correlation between the real-time alarm data and each alarm type in the alarm knowledge graph, and the value range is [1, n ]](ii) a n represents the total number of data items of which the real-time alarm data and the alarm types in the alarm knowledge graph have the association relationship with each other; r represents a dimension r for carrying out similarity evaluation on data items with correlation relation between the real-time alarm data and each alarm type in the alarm knowledge graph; d represents the dimension of similarity evaluation of data items with correlation relation between the real-time alarm data and each alarm type in the alarm knowledge graphd；q ri Representing the characteristic value of the data item i under the similarity evaluation dimension r; q. q.s di Representing the feature value of the data item i under the similarity evaluation dimension d; />
Representing the mean value of the characteristic values of all data items contained in the real-time alarm data under the similarity evaluation dimension r; />
Representing the mean value of the characteristic values of all data items contained in the real-time alarm data under the similarity evaluation dimension d; m represents an error factor, and the value range is (0.01, 0.03);
the similarity calculation module is used for comparing the calculated similarity with a preset similarity threshold;
if the calculated similarity is larger than or equal to a preset similarity threshold, judging that the current alarm type is a target alarm type corresponding to the current real-time fault data, and extracting target alarm knowledge corresponding to the target alarm type;
otherwise, judging that the alarm type is not matched with the real-time fault data, and re-determining alarm knowledge corresponding to the real-time fault data generated in the flexible-direct current converter transformer process until the similarity is greater than or equal to a preset similarity threshold.
The preset similarity threshold is set in advance and is used for measuring that the minimum standard of similarity is met.
The data items are the common item types between the real-time fault data and the alarm types, and the similarity between the real-time fault data and the alarm types is acquired by analyzing and calculating the common item types of the real-time fault data and the alarm types.
The evaluation dimension refers to calculating the similarity between the real-time alarm data and the alarm type from different evaluation angles, and specifically may be in the aspects of data types and value ranges.
The characteristic values refer to the average value or the extreme value and other characteristic values of the corresponding values of the implementation fault data and the alarm type data.
The target alarm type is a final alarm type corresponding to the real-time alarm data.
The beneficial effects of the above technical scheme are: the real-time fault data are accurately and effectively acquired by monitoring the process of the flexible-to-direct converter transformer in real time, the acquired real-time fault data are mapped in the constructed alarm knowledge map, the alarm knowledge corresponding to the real-time alarm data is accurately and effectively acquired according to the similarity between the implementation fault data and each alarm type in the alarm knowledge map, the accuracy of acquiring the alarm knowledge is guaranteed, the acquired alarm knowledge is gathered, the abnormal condition existing in the flexible-to-direct converter transformer process is conveniently removed in time according to the alarm knowledge, and therefore the stable conversion of the flexible-to-direct converter transformer is guaranteed.
Example 10:
on the basis of embodiment 9, this embodiment provides a flexible direct current transformer warning knowledge system, and the warning knowledge gathering unit includes:
the form acquisition subunit is used for acquiring the obtained alarm knowledge summary form, determining a communication address corresponding to the management terminal and constructing a data transmission link based on the communication address;
and the transmission subunit is used for transmitting the obtained alarm knowledge summary table to the management terminal based on the data transmission link and sending an alarm prompt to the management terminal.
The beneficial effects of the above technical scheme are: the communication address of the management terminal is determined, the acquired alarm knowledge summary table is accurately and reliably transmitted to the management terminal, the management terminal can accurately and effectively grasp the conditions in the process of the flexible direct current converter transformer in time, corresponding measures can be taken conveniently according to the abnormal conditions, the efficiency and the accuracy rate of solving the abnormal conditions are improved, and the stable operation of the flexible direct current converter transformer is guaranteed.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A flexible direct current converter alarm knowledge system, comprising:
the data acquisition module is used for acquiring historical alarm data generated when the flexible direct current is subjected to current transformation, and analyzing the historical alarm data to determine alarm types corresponding to different historical alarm data;
the relation determining module is used for determining the incidence relation among different alarm types based on the conversion characteristics of the flexible direct current during current conversion, and constructing a flexible direct current converter alarm knowledge graph based on the incidence relation;
and the alarm module is used for mapping the real-time alarm data generated in the flexible-direct current converter transformer process on the flexible-direct current converter transformer alarm knowledge map and outputting alarm knowledge corresponding to the real-time alarm data based on the mapping result.
2. The flexible direct current transducer alarm knowledge system of claim 1, wherein the data acquisition module comprises:
the instruction generating unit is used for acquiring service composition when the flexible direct current is subjected to current transformation, generating a data acquisition instruction based on the service composition and transmitting the data acquisition instruction to a preset server;
the data retrieval unit is used for analyzing the data acquisition instruction based on a preset server, extracting a data type identifier in the data acquisition instruction and retrieving a preset database based on the data type identifier;
the data acquisition unit is used for obtaining initial historical alarm data based on the retrieval result and carrying out format conversion on the initial historical alarm data based on the configuration parameters of the data calling interface to obtain final historical alarm data;
and the data transmission unit is used for feeding back the final historical alarm data to the data receiving end.
3. The flexible direct current transducer alarm knowledge system of claim 2, wherein the data acquisition unit comprises:
the data acquisition subunit is used for receiving the fed back historical alarm data based on the data receiving end, determining a first screening condition for the historical alarm data based on the data acquisition purpose, and performing first screening on the historical alarm data based on the first screening condition to obtain a first alarm data set;
the data filtering subunit is used for acquiring data characteristics of preset noise data, determining a second screening condition for the first alarm data set based on the data characteristics, and performing second screening on the first alarm data set based on the second screening condition to obtain a second alarm data set;
and the data integration subunit is used for arranging and integrating the historical alarm data in the second alarm data set to obtain the target historical alarm data.
4. The flexible direct current transducer alarm knowledge system of claim 1, wherein the data acquisition module comprises:
the data calling unit is used for acquiring the obtained historical alarm data and carrying out serialization processing on the historical alarm data to obtain a character string corresponding to the historical alarm data;
the data feature extraction unit is used for determining the data dimension of the historical alarm data and respectively extracting the data feature under each data dimension;
and the type determining unit is used for acquiring an alarm rule corresponding to the current transformation of the flexible direct current, training the alarm rule to obtain an alarm type identification model, and inputting the data characteristics under each data dimension into the alarm type identification model for analysis to obtain alarm types corresponding to different historical alarm data.
5. The flexible direct current converter transformer alarm knowledge system according to claim 1, wherein the relationship determination module comprises:
the rule determining unit is used for obtaining a conversion process when the flexible direct current is subjected to current conversion, determining conversion steps contained in the conversion process based on conversion characteristics when the flexible direct current is subjected to current conversion, and extracting first alarm rules corresponding to the conversion steps, wherein each alarm rule corresponds to one alarm type;
the analysis unit is used for constructing an alarm similarity matrix based on the first alarm rule, constructing a causal relationship matrix based on the sequence of the transformation steps included in the transformation process, and determining the interaction relationship between the first alarm rules corresponding to the transformation steps based on the alarm similarity matrix and the causal relationship matrix;
the correlation analysis unit is used for determining a first correlation between the root node alarm types corresponding to the first alarm rule based on the interaction relation, determining a second alarm rule corresponding to the sub-step included in each conversion step, and determining a second correlation between the branch node alarm types corresponding to the second alarm rule based on the business correlation attribute between the sub-steps;
and the incidence relation determining unit is used for obtaining the final incidence relation between different alarm types based on the first incidence relation and the second incidence relation.
6. The flexible direct current transducer alarm knowledge system according to claim 5, wherein the association relation determining unit comprises:
the incidence relation obtaining subunit is used for obtaining the final incidence relation among different alarm types, obtaining alarm characteristics of the different alarm types, and selecting the alarm type to be detected according to sampling detection based on the alarm characteristics;
the checking subunit is used for giving corresponding fault data when the flexible direct current is subjected to current transformation based on the alarm type to be detected, monitoring an alarm result generated when the flexible direct current is subjected to current transformation based on the giving result, and obtaining the confidence coefficient of the final incidence relation among different alarm types based on the alarm result;
and the map construction subunit is used for constructing an alarm knowledge map frame by taking the alarm type as the node when the confidence coefficient is greater than or equal to a preset confidence coefficient threshold, determining a topological structure among the nodes in the alarm knowledge map frame based on the final association relationship among different alarm types, and obtaining the alarm knowledge map based on the topological result.
7. The flexible direct current transducer alarm knowledge system of claim 6, wherein the graph building subunit comprises:
the map construction subunit is also used for determining the occurrence frequency of different alarm types based on historical alarm data and determining the weights of different alarm type nodes of the initial alarm knowledge map based on the occurrence frequency of different alarm types;
and the map optimization subunit is used for determining a display mode of the visual image of the corresponding alarm type node in the alarm knowledge map based on the weight, and adapting the obtained alarm knowledge map based on the display mode to obtain the final alarm knowledge map.
8. The flexible direct current transducer alarm knowledge system of claim 6, wherein the graph building subunit comprises:
the data updating subunit is used for acquiring real-time fault data generated when the flexible direct current is subjected to current transformation, crawling flexible direct current converter transformer alarm data from a preset website, and performing similarity retrieval on the real-time fault data and the flexible direct current converter transformer alarm data and the constructed alarm knowledge graph to obtain target updating alarm data;
the request subunit is used for generating a map updating instruction based on the target updating alarm data and sending a map updating request to the server based on the map updating instruction;
and the map updating subunit is used for determining a target node of which the target updating alarm data and the alarm knowledge map have an association relation when the server performs update permission feedback, generating a sub-alarm knowledge map from the target updating alarm data, and summarizing the sub-alarm knowledge map and the target node in the alarm knowledge map to finish updating the alarm knowledge map.
9. The flexible direct current transducer warning knowledge system of claim 1, wherein the warning module comprises:
the monitoring unit is used for setting a monitoring node for the flexible-direct current converter transformer process, monitoring the flexible-direct current converter transformer process in real time based on the monitoring node, and acquiring real-time alarm data based on the monitoring node when the flexible-direct current converter transformer process is abnormal;
the matching unit is used for mapping the real-time alarm data in the alarm types of the root nodes and the alarm types of the branch nodes in sequence to obtain the similarity between the real-time alarm data and each alarm type in the alarm knowledge graph;
the alarm knowledge summarizing unit is used for comparing the similarity with a preset similarity threshold, determining the alarm type with the similarity larger than or equal to the preset similarity threshold as a target alarm type, and extracting the alarm knowledge corresponding to the target alarm type;
and the alarm knowledge summarizing unit is used for summarizing the alarm knowledge in a preset data table to obtain an alarm knowledge summarizing table.
10. The flexible direct current transducer warning knowledge system according to claim 9, wherein the warning knowledge summarizing unit includes:
the form acquisition subunit is used for acquiring the obtained alarm knowledge summary form, determining a communication address corresponding to the management terminal and constructing a data transmission link based on the communication address;
and the transmission subunit is used for transmitting the obtained alarm knowledge summary table to the management terminal based on the data transmission link and sending an alarm prompt to the management terminal.
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