CN111782684B - Distribution network electronic handover information matching method and device - Google Patents
Distribution network electronic handover information matching method and device Download PDFInfo
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Abstract
The utility model discloses a distribution network electronic transfer information matching method and device, the distribution network electronic transfer information matching method provided by the application, through carrying out text feature extraction on received transfer ledger texts, obtain a first dense word vector set corresponding to the transfer ledger texts, then match the first dense word vector set with a second dense word vector set corresponding to the pre-stored ledger texts, when the matching degree of the first dense word vector set and the second dense word vector set is greater than a preset matching threshold, determine that the transfer ledger texts corresponding to the first dense word vector and the pre-stored ledger texts corresponding to the second dense word vector are ledger texts of the same object, and correlate or cover the transfer ledger texts of two same objects, so that the technical problem that data repeated input is easy to occur in the existing distribution network electronic transfer work is solved.
Description
Technical Field
The present disclosure relates to the field of information processing technologies, and in particular, to a method and an apparatus for matching electronic handover information of a distribution network.
Background
Electronic handover refers to the transfer of data from one system to another, and is a means of interfacing data between different systems. Most basic data of the distribution network communication management and control system need to receive distribution network communication account information from management systems such as a GIS system, a PMS system and the like through an SOA bus of the south network, and the process is distribution network electronic handover.
Because the electronic handover may have hysteresis, the existing method generally records data in advance in a distribution network communication management and control system, which results in the technical problem that repeated data recording is easy to occur after the electronic handover data of the same object is received in the formal handover.
Disclosure of Invention
The application provides a distribution network electronic handover information matching method and device, which are used for solving the technical problem that the existing distribution network electronic handover work is easy to cause repeated data input.
In view of this, a first aspect of the present application provides a method for matching electronic handover information of a distribution network, including:
receiving a transfer ledger text sent by a ledger source system;
extracting features of each word in the transfer ledger text in a deep text matching mode to obtain a first dense word vector set;
matching the first dense word vector set with a preset second dense word vector set, wherein the second dense word vector set is a dense word vector set obtained by extracting features of each word in a pre-stored ledger text stored in a distribution network communication management and control system in the deep text matching mode;
and when the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset first matching threshold, associating or covering the transfer ledger text corresponding to the first dense word vector with the pre-stored ledger text corresponding to the second dense word vector.
Optionally, extracting features of each word in the handover ledger text through the deep text matching model, and obtaining the first dense word vector set specifically includes:
extracting the characteristics of each word in the transfer ledger text in a deep text matching mode to obtain a first word characteristic vector corresponding to each word;
and establishing a dense vector matrix according to the first word feature vector and the occurrence frequency of each word feature vector to obtain the first dense word vector set.
Optionally, the establishing a dense vector matrix according to the word feature vectors and the occurrence frequencies of the word feature vectors, and before obtaining the first dense word vector set, further includes:
and filtering the first word feature vector corresponding to the target word contained in the word filtering information according to preset word filtering information.
Optionally, the method further comprises:
extracting features of each word in a pre-stored ledger text stored in a distribution network communication management and control system in a deep text matching mode to obtain a second word feature vector corresponding to each word;
and establishing a dense vector matrix according to the second word feature vector and the occurrence frequency of each word feature vector to obtain the second dense word vector set.
Optionally, the establishing a dense vector matrix according to the second word feature vector and the occurrence frequency of each word feature vector, and before obtaining the second dense word vector set, further includes:
and filtering the second word feature vector corresponding to the target word contained in the word filtering information according to preset word filtering information.
A second aspect of the present application provides a distribution network electronic handover information matching apparatus, including:
the transfer ledger receiving unit is used for receiving transfer ledger texts sent by the ledger source system;
the first text feature extraction unit is used for extracting features of each word in the transfer ledger text in a deep text matching mode to obtain a first dense word vector set;
the dense vector matching unit is used for matching the first dense word vector set with a preset second dense word vector set, wherein the second dense word vector set is a dense word vector set obtained by extracting features of each word in a pre-stored ledger text stored in a distribution network communication management and control system in the deep text matching mode;
and the ledger processing unit is used for associating or covering the transfer ledger text corresponding to the first dense word vector with the pre-stored ledger text corresponding to the second dense word vector when the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset first matching threshold value.
Optionally, the first text feature extraction unit specifically includes:
the first text feature extraction subunit is used for extracting features of each word in the transfer ledger text in a deep text matching mode to obtain a first word feature vector corresponding to each word;
the first dense word vector construction subunit is configured to establish a dense vector matrix according to the first word feature vector and occurrence frequencies of the word feature vectors, so as to obtain the first dense word vector set.
Optionally, the first text feature extraction unit specifically further includes:
the first filtering subunit is used for filtering the first word feature vector corresponding to the target word contained in the word filtering information according to preset word filtering information.
Optionally, the method further comprises: a second text feature extraction unit;
the second text feature extraction unit specifically includes:
the second text feature extraction subunit is used for extracting features of each word in the pre-stored ledger text stored in the distribution network communication management and control system in a deep text matching mode to obtain a second word feature vector corresponding to each word;
and the second dense word vector set construction subunit is used for constructing a dense vector matrix according to the second word feature vector and the occurrence frequency of each word feature vector to obtain the second dense word vector set.
Optionally, the second text feature extraction unit specifically further includes:
and the second filtering subunit is used for filtering the second word feature vector corresponding to the target word contained in the word filtering information according to preset word filtering information.
From the above technical solutions, the embodiments of the present application have the following advantages:
the application provides a distribution network electronic handover information matching method, which comprises the following steps: receiving a transfer ledger text sent by a ledger source system; extracting features of each word in the transfer ledger text in a deep text matching mode to obtain a first dense word vector set; matching the first dense word vector set with a preset second dense word vector set, wherein the second dense word vector set is a dense word vector set obtained by extracting features of each word in a pre-stored ledger text stored in a distribution network communication management and control system in the deep text matching mode; and when the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset first matching threshold, associating or covering the transfer ledger text corresponding to the first dense word vector with the pre-stored ledger text corresponding to the second dense word vector.
According to the information matching method for the distribution network electronic transfer, text feature extraction is carried out on received transfer ledger texts to obtain the first dense word vector set corresponding to the transfer ledger texts, then the first dense word vector set is matched with the second dense word vector set corresponding to the pre-stored ledger texts, when the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset matching threshold, the transfer ledger texts corresponding to the first dense word vector and the pre-stored ledger texts corresponding to the second dense word vector are the ledger texts of the same object, and the transfer ledger texts of the two same objects are associated or covered, so that the technical problem that data repeatedly input is easy to occur in the existing distribution network electronic transfer is solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart of a first embodiment of an information matching method for electronic handover of a distribution network provided in the present application;
fig. 2 is a flow chart of a second embodiment of an information matching method for electronic handover of a distribution network provided in the present application;
fig. 3 is a schematic structural diagram of an embodiment of an information matching apparatus for electronic handover of a distribution network provided in the present application.
Detailed Description
The embodiment of the application provides a distribution network electronic handover information matching method and device, which are used for solving the technical problem that the existing distribution network electronic handover work is easy to cause repeated data input.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, a first embodiment of the present application provides a method for matching electronic handover information of a distribution network, including:
step 101, receiving a transfer ledger text sent by a ledger source system.
Note that, the ledger source system of the present embodiment may be a GIS system and/or a PMS system, which receives the transfer ledger text sent from the ledger source system.
And 102, extracting features of each word in the transfer ledger text in a deep text matching mode to obtain a first dense word vector set.
Based on the transfer ledger text obtained in step 101, text feature extraction is performed on the words in the transfer ledger text, so as to obtain a first dense word vector set corresponding to the transfer ledger text.
Step 103, matching the first dense word vector set with a preset second dense word vector set.
It should be noted that, next, text feature matching is performed on the first dense word vector set and the preset second dense word vector set, and the similarity of dense vectors in the dense word vector set is used as the matching degree of the transfer ledger text and the pre-stored ledger text.
The second dense word vector set is obtained by extracting features of each word in a pre-stored ledger text stored in the distribution network communication management and control system in a deep text matching mode.
Step 104, judging whether the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset first matching threshold, if so, executing step 105, otherwise, returning to step 103, and matching the first dense word vector set with the rest of the second dense word vector sets.
It should be noted that, in general, the number of pre-stored ledger texts that are input in advance is usually more than one, and the number of the second dense word vector sets also contains a plurality correspondingly.
Judging whether the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset first matching threshold value, so as to judge whether the transfer ledger text corresponding to the first dense word vector set and the pre-stored ledger text input in advance in the distribution network communication management and control system are ledger texts of the same object, if not, returning to step 103, and matching the first dense word vector set with the rest of the second dense word vector sets.
Step 105, associating or overlaying the transfer ledger text corresponding to the first dense word vector with the pre-stored ledger text corresponding to the second dense word vector.
It should be noted that, when the matching degree of the first dense word vector set and the second dense word vector set is greater than a preset first matching threshold, it is explained that the transfer ledger text corresponding to the first dense word vector and the pre-stored ledger text corresponding to the second dense word vector are ledger texts of the same object, and at this time, the transfer ledger text and the pre-stored ledger text may be combined into one ledger text by means of text association or coverage.
According to the information matching method for the distribution network electronic transfer, text feature extraction is carried out on received transfer ledger texts to obtain a first dense word vector set corresponding to the transfer ledger texts, then the first dense word vector set is matched with a second dense word vector set corresponding to the pre-stored ledger texts, when the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset matching threshold, the transfer ledger texts corresponding to the first dense word vectors and the pre-stored ledger texts corresponding to the second dense word vectors are the ledger texts of the same object, and the transfer ledger texts of the two same objects are associated or covered, so that the technical problem that data repeated input easily occurs in the existing distribution network electronic transfer is solved.
The foregoing is a detailed description of a first embodiment of an information matching method for distribution network electronic handover provided in the present application, and the following is a detailed description of a second embodiment of an information matching method for distribution network electronic handover provided in the present application.
Referring to fig. 2, based on the first embodiment of the present application, a second embodiment of the present application provides a method for matching electronic handover information of a distribution network, including:
step 102 of the first embodiment of the present application specifically includes:
step 1021, extracting the characteristics of each word in the transfer ledger text in a deep text matching mode to obtain a first word characteristic vector corresponding to each word;
step 1022, establishing a dense vector matrix according to the first word feature vector and the occurrence frequency of each word feature vector, so as to obtain a first dense word vector set.
It should be noted that, in this embodiment, feature extraction is performed on each word in the transfer ledger text by using a DRMM deep text matching method, and then a dense vector matrix is constructed and established based on the first word feature vector corresponding to each word in the transfer ledger text, so as to obtain a first dense word vector set corresponding to the transfer ledger text.
More specifically, before step 1022 of the second embodiment, it may further include:
step 1023, filtering the first word feature vector corresponding to the target word contained in the word filtering information according to the preset word filtering information.
It should be noted that, before the first dense word vector set is constructed, some non-keyword words, such as a power distribution station, may be filtered through a predefined rule, and by reducing elements of the dense word vector set to a certain extent, the influence of some non-keyword words on the matching result may be reduced, so as to improve the matching accuracy, and the words to be filtered may be set by the user, which is not described herein.
More specifically, before step 101 of the first embodiment, it may further include:
step 1001, extracting features of each word in a pre-stored ledger text stored in a distribution network communication management and control system in a deep text matching mode to obtain a second word feature vector corresponding to each word;
step 1002, establishing a dense vector matrix according to the second word feature vector and the occurrence frequency of each word feature vector, so as to obtain a second dense word vector set.
More specifically, before step 1002, it may further include:
step 1003, filtering a second word feature vector corresponding to the target word contained in the word filtering information according to the preset word filtering information.
Since the processing purpose and processing manner of the second dense word vector set by steps 1001, 1002 and 1003 in this embodiment are the same as those of the first dense word vector set, the detailed description of steps 1001, 1002 and 1003 will not be repeated here.
According to the information matching method for the distribution network electronic transfer, text feature extraction is carried out on received transfer ledger texts to obtain the first dense word vector set corresponding to the transfer ledger texts, then the first dense word vector set is matched with the second dense word vector set corresponding to the pre-stored ledger texts, when the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset matching threshold, the transfer ledger texts corresponding to the first dense word vectors and the pre-stored ledger texts corresponding to the second dense word vectors are the ledger texts of the same object, and the transfer ledger texts of the two same objects are associated or covered, so that the technical problem that data repeated input easily occurs in the existing distribution network electronic transfer is solved.
The foregoing is a detailed description of a second embodiment of an information matching method for distribution network electronic handover provided in the present application, and the following is a detailed description of an embodiment of an information matching apparatus for distribution network electronic handover provided in the present application.
Referring to fig. 3, a third embodiment of the present application provides a distribution network electronic handover information matching apparatus, including:
a transfer ledger receiving unit 301, configured to receive a transfer ledger text sent by a ledger source system;
a first text feature extraction unit 302, configured to perform feature extraction on each word in the handover ledger text by using a deep text matching manner, so as to obtain a first dense word vector set;
a dense vector matching unit 303, configured to match a first dense word vector set with a preset second dense word vector set, where the second dense word vector set is a dense word vector set obtained by extracting features of each word in a pre-stored ledger text stored in a distribution network communication management and control system in a deep text matching manner;
and the ledger processing unit 304 is configured to associate or cover the handover ledger text corresponding to the first dense word vector with the pre-stored ledger text corresponding to the second dense word vector when the matching degree of the first dense word vector set and the second dense word vector set is greater than a preset first matching threshold.
More specifically, the first text feature extraction unit 302 specifically includes:
a first text feature extraction subunit 3021, configured to perform feature extraction on each word in the handover ledger text by using a deep text matching manner, so as to obtain a first word feature vector corresponding to each word;
the first dense word vector constructing subunit 3022 is configured to construct a dense vector matrix according to the first word feature vector and the occurrence frequency of each word feature vector, so as to obtain a first dense word vector set.
More specifically, the first text feature extraction unit specifically further includes:
the first filtering subunit 3023 is configured to filter, according to preset word filtering information, a first word feature vector corresponding to a target word included in the word filtering information.
More specifically, it further comprises: a second text feature extraction unit 300;
the second text feature extraction unit specifically includes:
a second text feature extraction subunit 3001, configured to perform feature extraction on each word in the pre-stored ledger text stored in the distribution network communication management and control system by using a deep text matching manner, so as to obtain a second word feature vector corresponding to each word;
the second dense word vector set constructing subunit 3002 is configured to construct a dense vector matrix according to the second word feature vector and the occurrence frequency of each word feature vector, so as to obtain a second dense word vector set.
More specifically, the second text feature extraction unit specifically further includes:
the second filtering subunit 3003 is configured to filter, according to preset word filtering information, a second word feature vector corresponding to the target word included in the word filtering information.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (6)
1. A distribution network electronic handover information matching method, comprising:
receiving a transfer ledger text sent by a ledger source system;
extracting the characteristics of each word in the transfer ledger text in a deep text matching mode to obtain a first word characteristic vector corresponding to each word;
establishing a dense vector matrix according to the first word feature vector and the occurrence frequency of each word feature vector to obtain a first dense word vector set;
matching the first dense word vector set with a preset second dense word vector set, wherein the second dense word vector set is obtained in the following manner: extracting features of each word in a pre-stored ledger text stored in a distribution network communication management and control system through a deep text matching mode to obtain a second word feature vector corresponding to each word, and establishing a dense vector matrix according to the second word feature vector and the occurrence frequency of each word feature vector to obtain a second dense word vector set;
and when the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset first matching threshold, associating or covering the transfer ledger text corresponding to the first dense word vector set with the pre-stored ledger text corresponding to the second dense word vector set.
2. The method for matching distribution network electronic handover information according to claim 1, wherein the creating a dense vector matrix according to the word feature vectors and occurrence frequencies of the word feature vectors, before obtaining the first dense word vector set, further comprises:
and filtering the first word feature vector corresponding to the target word contained in the word filtering information according to preset word filtering information.
3. The method for matching distribution network electronic handover information according to claim 1, wherein the creating a dense vector matrix according to the second word feature vector and occurrence frequencies of the word feature vectors, before obtaining the second dense word vector set, further includes:
and filtering the second word feature vector corresponding to the target word contained in the word filtering information according to preset word filtering information.
4. An electronic handover information matching apparatus for a distribution network, comprising:
the transfer ledger receiving unit is used for receiving transfer ledger texts sent by the ledger source system;
the first text feature extraction unit is used for extracting features of each word in the transfer ledger text in a deep text matching mode to obtain a first dense word vector set;
the dense vector matching unit is used for matching the first dense word vector set with a preset second dense word vector set, wherein the second dense word vector set is a dense word vector set obtained by extracting features of each word in a pre-stored ledger text stored in a distribution network communication management and control system in the deep text matching mode;
the ledger processing unit is used for associating or covering the transfer ledger text corresponding to the first dense word vector set with the pre-stored ledger text corresponding to the second dense word vector set when the matching degree of the first dense word vector set and the second dense word vector set is larger than a preset first matching threshold;
the first text feature extraction unit specifically includes:
the first text feature extraction subunit is used for extracting features of each word in the transfer ledger text in a deep text matching mode to obtain a first word feature vector corresponding to each word;
a first dense word vector set constructing subunit, configured to establish a dense vector matrix according to the first word feature vector and occurrence frequencies of the word feature vectors, so as to obtain the first dense word vector set;
the distribution network electronic handover information matching device further comprises: a second text feature extraction unit;
the second text feature extraction unit specifically includes:
the second text feature extraction subunit is used for extracting features of each word in the pre-stored ledger text stored in the distribution network communication management and control system in a deep text matching mode to obtain a second word feature vector corresponding to each word;
and the second dense word vector set construction subunit is used for constructing a dense vector matrix according to the second word feature vector and the occurrence frequency of each word feature vector to obtain the second dense word vector set.
5. The distribution network electronic handover information matching apparatus according to claim 4, wherein the first text feature extraction unit specifically further comprises:
the first filtering subunit is used for filtering the first word feature vector corresponding to the target word contained in the word filtering information according to preset word filtering information.
6. The distribution network electronic handover information matching apparatus according to claim 4, wherein the second text feature extraction unit specifically further comprises:
and the second filtering subunit is used for filtering the second word feature vector corresponding to the target word contained in the word filtering information according to preset word filtering information.
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