CN109800423A - Method and apparatus are determined based on the power-off event of power failure plan sentence - Google Patents
Method and apparatus are determined based on the power-off event of power failure plan sentence Download PDFInfo
- Publication number
- CN109800423A CN109800423A CN201811570176.5A CN201811570176A CN109800423A CN 109800423 A CN109800423 A CN 109800423A CN 201811570176 A CN201811570176 A CN 201811570176A CN 109800423 A CN109800423 A CN 109800423A
- Authority
- CN
- China
- Prior art keywords
- sentence
- power failure
- identified
- action type
- failure plan
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 39
- 230000000875 corresponding effect Effects 0.000 claims abstract description 110
- 230000014509 gene expression Effects 0.000 claims abstract description 95
- 230000009471 action Effects 0.000 claims abstract description 91
- 238000004590 computer program Methods 0.000 claims description 29
- 238000013518 transcription Methods 0.000 claims description 17
- 230000035897 transcription Effects 0.000 claims description 17
- 238000012163 sequencing technique Methods 0.000 claims description 13
- 230000005611 electricity Effects 0.000 description 11
- 230000006870 function Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 6
- 230000006399 behavior Effects 0.000 description 4
- 239000003610 charcoal Substances 0.000 description 4
- 238000012790 confirmation Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 238000003058 natural language processing Methods 0.000 description 3
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 2
- 240000002853 Nelumbo nucifera Species 0.000 description 2
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000009172 bursting Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 210000004709 eyebrow Anatomy 0.000 description 1
- 210000000720 eyelash Anatomy 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
- 230000005612 types of electricity Effects 0.000 description 1
Landscapes
- Machine Translation (AREA)
Abstract
This application involves a kind of power-off events based on power failure plan sentence to determine method and apparatus.The described method includes: obtaining the corresponding regular expression of power failure plan sentence of each action type, receive power failure plan sentence to be identified, according to regular expressions, matching obtains the corresponding action type of power failure plan sentence to be identified, syntax dependency parsing is carried out to power failure to be identified plan sentence, it determines the operation equipment for including in power failure plan sentence to be identified, according to action type and operation equipment, determines the power-off event in power failure plan sentence to be identified.It can be improved the accuracy rate of power-off event identification using this method.
Description
Technical field
This application involves technical field of electric power, more particularly to a kind of power-off event determination side based on the plan sentence that has a power failure
Method, device, computer equipment and storage medium.
Background technique
As network load increases the fast development with smart grid, in safe, economic, the high-quality operation of power grid, electricity
Net dispatch automated system status is more important, and the effect of performance is also increasing, and at the same time, the development of smart grid is exchanged
The ability that degree controls bulk power grid proposes new higher requirement, therefore, dispatches intelligentized research and building-up work is compeled in eyebrow
Eyelash.
Want that power dispatching automation degree will be improved, it just must be using natural language expressing in previous power scheduling
Document, information are parsed into the data that computer can identify, to obtain power failure scheduled events.In power scheduling field, need
The power equipment that information there are two types of parsing from power failure plan sentence --- operation species and operation are related to, to obtain
Power-off event.
Currently, being also in exploration initial stage, existing technology using the research of natural language processing technique in the power system
Machine learning techniques are based primarily upon, although required basic function can be completed, technical difficulty is big, enters gate threshold height, operation
It is cumbersome laborious.In addition to this, natural language processing technique is towards pure open natural language, word, clause repetitive rate
It is low, so the characteristics of natural language processing technique based on statistical method is wide application, but it cannot be guaranteed that the standard of semantic understanding
Exactness.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide one kind be able to solve identification power failure plan sentence in have a power failure
The power-off event based on power failure plan sentence of the low problem of plan accuracy rate determines method and apparatus.
A kind of power-off event based on power failure plan sentence determines method, which comprises
Obtain the corresponding regular expression of power failure plan sentence of each action type；
Power failure plan sentence to be identified is received, according to the regular expression, matching obtains the power failure plan to be identified
The corresponding action type of sentence；
Syntax dependency parsing is carried out to the power failure plan sentence to be identified, is determined in the power failure plan sentence to be identified
The operation equipment for including；
According to the action type and the operation equipment, the power failure thing in the power failure plan sentence to be identified is determined
Part.
The corresponding regular expressions of power failure plan sentence for obtaining each action type in one of the embodiments,
Formula, comprising:
Multiple power failure plan sentences are obtained as sample sentence；Each sample sentence is clustered, each operation is obtained
The corresponding sample sentence of type；Canonical tanalysis is carried out to the corresponding sample sentence of each action type, obtains each operation
The corresponding regular expression of power failure plan sentence of type.
In one of the embodiments, further include: according to the Pinyin sorting of phonetic transcriptions of Chinese characters in the sample sentence, to each
Sample sentence is ranked up；According to the sequence of each sample sentence, the corresponding sample sentence of each action type is determined.
The Pinyin sorting includes positive sequence and inverse sequence in one of the embodiments,；Further include: according to the sample
The positive sequence of phonetic transcriptions of Chinese characters in sentence carries out positive sequence to each sample sentence；According to the positive sequence, each behaviour is determined
Make the corresponding first sample sentence of type；According to the inverse sequence of phonetic transcriptions of Chinese characters in the sample sentence, to each sample sentence into
Row converse sequencing；According to the converse sequencing, the corresponding second sample sentence of each action type is determined；According to first sample
This sentence and the second sample sentence determine the corresponding sample sentence of each action type.
Syntax dependency parsing is carried out to the power failure to be identified plan sentence in one of the embodiments, determine described in
The operation equipment for including in power failure plan sentence to be identified, comprising:
The power failure plan sentence to be identified is segmented, multiple Feature Words are obtained；
Part-of-speech tagging is carried out to the Feature Words, according to the part-of-speech tagging, to each Feature Words carry out syntax according to
Deposit analysis；
According to the syntax dependency parsing as a result, determining that the operation for including in the power failure plan sentence to be identified is set
It is standby.
In one of the embodiments, further include: the pre-set pyltp of input by sentence is planned into the power failure to be identified
Model obtains the result of the corresponding syntax dependency parsing of the power failure plan sentence to be identified；It is interdependent according to the syntax
Analysis as a result, determining the operation equipment for including in the power failure plan sentence to be identified.
In one of the embodiments, further include: in the power failure plan to be identified input by sentence regular expression library, obtain
Plan the corresponding target regular expression of sentence to the power failure to be identified；In the regular expression library comprising it is multiple it is described just
Then expression formula；According to the corresponding action type of the target regular expression, determine that the power failure plan sentence to be identified is corresponding
Action type.
A kind of power-off event determining device based on the plan sentence that has a power failure, described device include:
Expression formula obtains module, for obtaining the corresponding regular expression of power failure plan sentence of each action type；
Action type matching module is matched for receiving power failure plan sentence to be identified according to the regular expression
Plan the corresponding action type of sentence to the power failure to be identified；
Equipment determining module is operated, for carrying out syntax dependency parsing to the power failure plan sentence to be identified, determines institute
State the operation equipment for including in power failure plan sentence to be identified；
Identification module, for determining the power failure plan language to be identified according to the action type and the operation equipment
Power-off event in sentence.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
Obtain the corresponding regular expression of power failure plan sentence of each action type；
Power failure plan sentence to be identified is received, according to the regular expression, matching obtains the power failure plan to be identified
The corresponding action type of sentence；
Syntax dependency parsing is carried out to the power failure plan sentence to be identified, is determined in the power failure plan sentence to be identified
The operation equipment for including；
According to the action type and the operation equipment, the power failure thing in the power failure plan sentence to be identified is determined
Part.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
Obtain the corresponding regular expression of power failure plan sentence of each action type；
Power failure plan sentence to be identified is received, according to the regular expression, matching obtains the power failure plan to be identified
The corresponding action type of sentence；
Syntax dependency parsing is carried out to the power failure plan sentence to be identified, is determined in the power failure plan sentence to be identified
The operation equipment for including；
According to the action type and the operation equipment, the power failure thing in the power failure plan sentence to be identified is determined
Part.
Above-mentioned power-off event recognition methods and device based on the plan sentence that has a power failure, by obtaining stopping for each action type
The corresponding regular expression of electricity plan sentence, receives power failure to be identified and plans sentence, and according to regular expressions, matching is obtained wait know
The corresponding action type of sentence Ting electricity not planned, syntax dependency parsing is carried out to power failure to be identified plan sentence, is determined to be identified
The operation equipment for including in power failure plan sentence determines in power failure plan sentence to be identified according to action type and operation equipment
Power-off event.The embodiment of the present invention can be improved certainly by the corresponding regular expression of each action type pre-established
Then accuracy when right sentence identification utilizes syntax so that power failure plan sentence correspondence is categorized into corresponding action type
Dependency analysis, matching obtain the corresponding operation equipment of power failure plan sentence, to accurately determine power-off event, improve power failure thing
The accuracy of part identification.
Detailed description of the invention
Fig. 1 is the applied environment figure for determining method in one embodiment based on the power-off event of power failure plan sentence；
Fig. 2 is the flow diagram for determining method in one embodiment based on the power-off event of power failure plan sentence；
Fig. 3 is the flow diagram that regular expression step is obtained in one embodiment；
Fig. 4 is the flow diagram that operation device step is obtained in another embodiment；
Fig. 5 is the schematic diagram of syntax dependency parsing result in an embodiment；
Fig. 6 is the structural block diagram of the power-off event determining device based on the plan sentence that has a power failure in one embodiment；
Fig. 7 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which purpose, technology event and the advantage of the application is more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Power-off event recognition methods provided by the present application based on the plan sentence that has a power failure, can be applied to as shown in Figure 1
In application environment.Wherein, terminal 102 is communicated with server 104 by network by network.Wherein, terminal 102 can with but
It is not limited to various personal computers, laptop, smart phone, tablet computer and portable wearable device, server
104 can be realized with the server cluster of the either multiple server compositions of independent server.
Server 104 receives a large amount of power failure plan sentence, by summarizing to each power failure plan sentence, obtains
When regular expressions, so that it is determined that the corresponding action type of each power failure plan sentence of subsequent input, then counts each power failure
It is interdependent to draw sentence progress syntax, determines that its operates equipment, so that the action type and operation that are identified using server 104 are set
It is standby, determine power-off event in the identifiable power failure plan sentence of computer.
In one embodiment, as shown in Fig. 2, providing a kind of power-off event determination side based on power failure plan sentence
Method is applied to be illustrated for the server in Fig. 1 in this way, comprising the following steps:
Step 202, the corresponding regular expression of power failure plan sentence of each action type is obtained.
Wherein, when publication has a power failure plan, corresponding power failure plan sentence can be issued, power failure plan sentence belongs to nature language
Sentence.The information for having contained action type in power failure sentence, in power domain, action type may include: that master is converted in substation
Become powered operation, throw and move back stability control device channel clamp operation etc..Regular expression is a kind of regular expression of computer, can be with
For carrying out string operation, under the rule of regular expression, [u4e00- u9fa5] refers to all Chinese characters, and { 0, X } refers to
Occurrence in the bracket of front can occur 0 time to X times, therefore, when passing through regular expressions, can plan language to having a power failure
Sentence is summarized, so that it is determined that the corresponding regular expression of power failure plan sentence of each action type.
Step 204, it receives power failure to be identified and plans sentence, according to regular expressions, matching obtains power failure plan to be identified
The corresponding action type of sentence.
Power failure plan sentence to be identified belongs to power failure plan sentence, and after summary obtains regular expression, server can
To receive power failure plan sentence to be identified, so that matching obtains power failure plan sentence to be identified according to obtained regular expression
Corresponding action type.
Step 206, syntax dependency parsing is carried out to power failure to be identified plan sentence, determined in power failure plan sentence to be identified
The operation equipment for including.
Syntax dependency parsing refers to the part of speech in part of speech analysis and power failure plan sentence to be identified between each participle
Connection.
By carrying out syntax dependency parsing, the part of speech of each participle in power failure plan sentence to be identified is described, thus really
The equipment for including in fixed power failure plan sentence to be identified, so that it is determined that operation equipment.
Step 208, according to action type and operation equipment, the power-off event in power failure plan sentence to be identified is determined.
After server determines action type and operation equipment, it can determine that is contained in power failure plan sentence to be identified stops
Electric event.It is worth noting that the power-off event is that computer can identify message.
The above-mentioned power-off event based on power failure plan sentence determines in method, by the power failure meter for obtaining each action type
The corresponding regular expression of sentence is drawn, power failure to be identified is received and plans sentence, according to regular expressions, matching obtains to be identified stop
The corresponding action type of electricity plan sentence carries out syntax dependency parsing to power failure to be identified plan sentence, determines power failure to be identified
The operation equipment for including in plan sentence determines and stops in power failure plan sentence to be identified according to action type and operation equipment
Electric event.Nature language can be improved by the corresponding regular expression of each action type pre-established in the embodiment of the present invention
Accuracy when sentence identification, so that power failure plan sentence correspondence is categorized into corresponding action type, it is then interdependent using syntax
Analysis, matching obtain the corresponding operation equipment of power failure plan sentence, to accurately determine power-off event, improve power-off event and know
Other accuracy.
In one of the embodiments, as shown in figure 3, providing a kind of schematic flow for obtaining regular expression step
Figure, the specific steps are as follows:
Step 302, multiple power failure plan sentences are obtained as sample sentence.
Sample sentence can be random power failure plan sentence, in order to provide sample size, can stop taking human as setting is multiple
Electricity plan sentence can also be extracted as sample sentence from history power failure plan sentence.
Step 304, each sample sentence is clustered, obtains the corresponding sample sentence of each action type.
By clustering to sample sentence, the corresponding sample sentence of each action type can be determined, so as to root
According to the specific of clause, the extraction of regular expression is carried out.
Step 306, canonical tanalysis is carried out to the corresponding sample sentence of each action type, obtains stopping for each action type
The corresponding regular expression of electricity plan sentence.
Canonical tanalysis refers to that clause is analyzed, that is, determines each part that can carry out regularization in power failure plan sentence.
It, can be using any power failure plan sentence as training sample, to be determined by cluster in the embodiment of the present invention
The sample sentence of each action type, summary obtains the corresponding regular expression of each action type, without artificial intervention, from
And it has been obviously improved the degree of automation, also improve the efficiency for obtaining regular expression.
It, can be to go through in one of the embodiments, when obtaining the sample for the plan sentence that has a power failure for step 302
It is extracted in history power-off event, due to containing the information of action type in power-off event, so as to use action type
Label the power failure plan sentence in history power-off event is marked, thus when being clustered, it is only necessary to pass through operation
The label of type, it can complete cluster, Clustering Effect is obvious, promotes the accuracy of cluster.
For step 304, in one embodiment, can be sorted by phonetic transcriptions of Chinese characters, to sample be ranked up, according to each
The sequence of a sample sentence determines the corresponding sample sentence of each action type.In the present embodiment, Pinyin sorting is referred to wait know
The Pinyin sorting of Chinese character in sentence Ting electricity not planned, Pinyin sorting is referred to according to the sequence in phonetic alphabet.
Specifically, with power failure to be identified plan sentence " 9 first and second wiretap stand-by heat of Guangdong station 110kV charcoal " and " confirmation
110kV backup auto-activating device charging modes are consistent with actual operating " for, it, only to right rule, is successively extracted according to from left
Chinese character in the plan sentence to be identified that has a power failure, respectively " wide " and " true ", so that breathing out sub- phonetic is respectively " g " and " q ", it can be true
The sequence of fixed " g " is forward, therefore, to " 9 first and second wiretap stand-by heat of Guangdong station 110kV charcoal " and " confirmation 110kV prepared auto restart dress
It is consistent with actual operating to set charging modes " sequence when, be sequentially " 9 first and second wiretap stand-by heat of Guangdong station 110kV charcoal ",
" confirmation 110kV backup auto-activating device charging modes are consistent with actual operating ".
In another embodiment, it in order to improve the automated procedures of system, can be realized by following procedure code, program
Code is realized in advance using python.
Wherein, py.txt is the dictionary file being made of Chinese characters and pinyin；Searchdict is dictionary lookup function；dic
For the dictionary being made of Chinese characters and pinyin；Usentence is individual Chinese character；Comp_sentence_PY is more single character letter
Number；Function is to compare the sequence of two phonetic of A, B, if the phonetic of Chinese character A after B, returns to 1；If the phonetic of A returns after B
Return 0；Otherwise -1 is returned.Comp_sentence is the function for comparing character string, and function is to compare two words of A, B from front to back
Accord with the pinyin order of string.If first word is equal, more next word is continued to.If the phonetic of character string A is in B
Afterwards, 1 is returned, otherwise returns to 0；Cnsort is ranking functions, and input nline is the out-of-order list by forming to sequencing character string,
Output is the ascending order list after sequence.It is worth noting that the input of above procedure code is sample statement list, sample statement list
In include multiple sample sentences.
In another embodiment, Pinyin sorting includes positive sequence and inverse sequence, when being ranked up, according in sample sentence
The positive sequence of phonetic transcriptions of Chinese characters carries out positive sequence to each sample sentence, is sorted according to forward direction, determines that each action type is corresponding
First sample sentence converse sequencing is carried out to each sample sentence according to the inverse sequence of phonetic transcriptions of Chinese characters in sample sentence, according to
Converse sequencing determines the corresponding second sample sentence of each action type, according to first sample sentence and the second sample sentence, really
Determine the corresponding sample sentence of each action type.In the present embodiment, when can not accurately be clustered for forward direction sequence, carry out
Secondary cluster, to improve the accuracy of cluster.
In one embodiment, according to first sample sentence and the second sample sentence, the corresponding sample of each action type is determined
This sentence may is that according to first sample sentence, determine the first cluster result, determine the second cluster knot according to the second sample sentence
Fruit, then detects the first cluster result and whether the second cluster result is consistent, if so, determine the first cluster result of output, if
As a result inconsistent, then the second cluster result is exported, to improve the accuracy of cluster.
For above procedure code, the program code for carrying out inverse sequence be may is that
def reverse1(s):
return s[::-1]
Wherein, which carries out inverse sequence for input, such as " 110kV charcoal 9 first and second wiretap in Guangdong station is hot standby for input
With ", then the function exports " it is eastern wide that the station nine carbon Vk011 of second first of bursting at the seams is closed with standby heat ".
It, in one embodiment, can be to sample language when obtaining the corresponding sample sentence of action type for step 306
Sentence carries out canonical tanalysis, and specific step is as follows for canonical tanalysis: sample sentence is segmented, station name, implementor name are taken out, thus
It obtains the action type and corresponds to regular expression, shown in specific table 1.
Table 1
Wherein, [u4e00- u9fa5] refers to that the position can match all Chinese characters, and { 0, X } refers to positioned at front bracket
In occurrence can occur 0 time to X times, [A-Za-z0-9] refer to the position can matched size write English alphabet and number 0-
9, [u4e00- u9fa5A-Za-z0-9] refers to that the position can match Chinese character, capital and small letter English character and number 0-9.This implementation
In example, by establishing the corresponding regular expression of each action type, regular expression is enabled to match all direction behaviour
Make the operation clause of type.
In another embodiment, after obtaining regular expression, carrying out the matched program code of action type can be as
Shown in lower:
Wherein, input variable PATTERN is the regular expression summed up, and sentence is that language is planned in power failure to be identified
Sentence.It is worth noting that this function, which needs to use python third party, wraps re.
In one embodiment, specific to walk as shown in figure 4, providing a kind of schematic flow chart for obtaining operation device step
It is rapid as follows:
Step 402, power failure plan sentence to be identified is segmented, obtains multiple Feature Words.
Power failure plan sentence to be identified can be segmented using the participle tool of open source, so as to obtain multiple spies
Levy word.
Step 404, part-of-speech tagging is carried out to Feature Words, according to part-of-speech tagging, interdependent point of syntax is carried out to each Feature Words
Analysis.
After participle, can carry out part-of-speech tagging to Feature Words by part-of-speech tagging can be to each by part of speech relationship
Feature Words carry out syntax dependency parsing, and what syntax dependency parsing was analyzed is the connection between each Feature Words.
Step 406, according to syntax dependency parsing as a result, determining that the operation for including in power failure plan sentence to be identified is set
It is standby.
It is interdependent as a result, the operation equipment of multiple Feature Words compositions can be determined, so that it is determined that be identified out to obtain syntax
The operation equipment for including in power failure plan sentence.
In the present embodiment, by syntax dependency parsing, the operation for including in power failure plan sentence to be identified can be determined
Equipment, to be conducive to further determine that power-off event.
For step 402, in one embodiment, power failure sentence to be identified can be divided using the participle tool of open source
Word, after participle, removal stop words, symbol etc. obtain Feature Words.
It is that " Guangdong station 10kV1M bus load turns the confession of 2M bus " is with input in one embodiment for step 404
Example, feature word sequence after segmenting be " Guangdong station, 10kV, 1M, bus, load, turn, bus, for ", obtained part of speech sequence
For " when carrying out syntax dependency parsing, it is as shown in Figure 5 therefore to obtain the interdependent result of syntax by ns, m, m, n, n, v, m, n, v ".
For step 406, the foundation that relationship is extracted as equipment in surely can be used, fixed middle relationship is " ATT " in Fig. 5,
Therefore, the operation equipment of extraction is " Guangdong station 10kV1M bus " and " 2M bus ".
In another embodiment, can by power failure to be identified plan the pre-set pyltp model of input by sentence, obtain to
The corresponding syntax dependency parsing of identification power failure plan sentence as a result, according to syntax dependency parsing as a result, determining to be identified stop
The operation equipment for including in electricity plan sentence.Since pyltp model is a kind of canned program of open source, can provide participle,
Part-of-speech tagging, name Entity recognition, interdependent syntactic analysis, semantic character labeling function.Therefore, power failure to be identified can be counted
Draw input by sentence pyltp model, it can export the result of syntax dependency parsing.
In one embodiment, the step of matching operation type may also is that power failure plan input by sentence canonical to be identified
In expression formula library, the corresponding target regular expression of power failure plan sentence to be identified is obtained, includes multiple in regular expression library
Regular expression determines that the power failure plan sentence to be identified is corresponding according to the corresponding action type of target regular expression
Action type.
Below with a specific embodiment, technical solution of the present invention is further detailed.
In one embodiment, the input sample sentence of server is as shown in table 2:
Table 2
It is just being sorted to above-mentioned sample sentence and against after sorting, obtained sample is as shown in table 3:
Table 3
For investment route from throwing 8 of function, it can be gathered that regular expression " (investment) * (release) * [and u4e00-
U9fa5A-Za-z0-9] { 0,50 } route is from throwing function "；Stability control device channel clamp operation is moved back for 5 throwings, can be summed up
Regular expression " (investment) * (exits) * [u4e00- u9fa5A-Za-z0-9] { 0,50 } channel pressing plate "；For 8 power transformations
Main transformer powered operation is converted in standing, can summing up regular expression, " [u4e00- u9fa5] { 0,3 } # [0-9] main transformer of stand is born
Lotus turns to be powered by? # [0-9] main transformer? ".There is same quasi-sentence that can realize sentence meaning reason using regular expression Rapid matching again later
Solution.
With power failure to be identified plan sentence " Tian Hezhan #3 main transformer load turns the confession of #1 main transformer " and " exit 220kV Chinese Tian Zhanwen
Control the northern god-son station channel B pressing plate of device " for, after being matched by above procedure code, by " Tian Hezhan #3 main transformer is negative
Lotus turns the confession of #1 main transformer " it is classified as converting main transformer powered operation in substation, " the north religion of 220kV Chinese field station stability control device will be exited
Substation channel B pressing plate ", which is classified as throwing, moves back stability control device channel clamp operation.
Then " Tian Hezhan #3 main transformer load turns the confession of #1 main transformer " is inputted in pyltp model, obtaining segmentation sequence is " field river
Stand, #3, main transformer, load, turn, #1, main transformer, for ", further part-of-speech tagging sequence be " ns, m, n, n, v, m, n, v ", thus into
Row syntax dependency parsing obtains syntax dependency parsing as a result, extracting wherein ATT relationship, and obtaining operation equipment is " Tian Hezhan #3 master
Become " and " #1 main transformer "
It should be understood that although each step in the flow chart of Fig. 2-4 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-4
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in fig. 6, providing a kind of determining dress of the power-off event based on power failure plan sentence
It sets, comprising: expression formula obtains module 602, action type matching module 604, operation equipment determining module 606 and identification module
608, in which:
Expression formula obtains module 602, for obtaining the corresponding regular expression of power failure plan sentence of each action type；
Action type matching module 604, for receiving power failure plan sentence to be identified, according to the regular expression,
With obtaining the corresponding action type of the power failure plan sentence to be identified；
Equipment determining module 606 is operated, for carrying out syntax dependency parsing to the power failure plan sentence to be identified, is determined
The operation equipment for including in the power failure plan sentence to be identified；
Identification module 608, for determining the power failure plan to be identified according to the action type and the operation equipment
Power-off event in sentence.
Expression formula obtains module 602 and is also used to obtain multiple power failure plan sentences as sample in one of the embodiments,
This sentence；Each sample sentence is clustered, the corresponding sample sentence of each action type is obtained；To each action type pair
The sample sentence answered carries out canonical tanalysis, obtains the corresponding regular expression of power failure plan sentence of each action type.
Expression formula obtains module 602 and is also used to according to phonetic transcriptions of Chinese characters in the sample sentence in one of the embodiments,
Pinyin sorting, each sample sentence is ranked up；According to the sequence of each sample sentence, determine that each action type is corresponding
Sample sentence.
The Pinyin sorting includes positive sequence and inverse sequence in one of the embodiments,；Expression formula obtains module 602 also
For the positive sequence according to phonetic transcriptions of Chinese characters in the sample sentence, positive sequence is carried out to each sample sentence；According to it is described just
To sequence, the corresponding first sample sentence of each action type is determined；According to the inverse sequence of phonetic transcriptions of Chinese characters in the sample sentence,
Converse sequencing is carried out to each sample sentence；According to the converse sequencing, the corresponding second sample language of each action type is determined
Sentence；According to the first sample sentence and the second sample sentence, the corresponding sample sentence of each action type is determined.
Operation equipment determining module 606 is also used to the power failure plan sentence to be identified in one of the embodiments,
It is segmented, obtains multiple Feature Words；Part-of-speech tagging is carried out to the Feature Words, according to the part-of-speech tagging, to described each
Feature Words carry out syntax dependency parsing；According to the syntax dependency parsing as a result, determining that sentence is planned in the power failure to be identified
In include operation equipment.
Operation equipment determining module 606 is also used to the power failure plan sentence to be identified in one of the embodiments,
Pre-set pyltp model is inputted, the knot of the corresponding syntax dependency parsing of the power failure plan sentence to be identified is obtained
Fruit；According to the syntax dependency parsing as a result, determining the operation equipment for including in the power failure plan sentence to be identified.
Action type matching module 604 is also used to the power failure plan sentence to be identified in one of the embodiments,
It inputs in regular expression library, obtains the corresponding target regular expression of the power failure plan sentence to be identified；The canonical table
It include multiple regular expressions in Da Shiku；According to the corresponding action type of the target regular expression, determine described in
The corresponding action type of sentence is planned in power failure to be identified.
Specific restriction about the power-off event determining device based on power failure plan sentence may refer to above for base
The restriction of method is determined in the power-off event of power failure plan sentence, and details are not described herein.It is above-mentioned to be stopped based on power failure plan sentence
Modules in electric event determining device can be realized fully or partially through software, hardware and combinations thereof.Above-mentioned each module
It can be embedded in the form of hardware or independently of in the processor in computer equipment, computer can also be stored in a software form
In memory in equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 7.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is used to store the data of the power failure plan sentence of each action type.The network interface of the computer equipment
For being communicated with external terminal by network connection.It is a kind of based on power failure to realize when the computer program is executed by processor
The power-off event of plan sentence determines method.
It will be understood by those skilled in the art that structure shown in Fig. 7, only part relevant to the application event is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to the application event, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, is stored in memory
Computer program, the processor perform the steps of when executing computer program
Obtain the corresponding regular expression of power failure plan sentence of each action type；
Power failure plan sentence to be identified is received, according to the regular expression, matching obtains the power failure plan to be identified
The corresponding action type of sentence；
Syntax dependency parsing is carried out to the power failure plan sentence to be identified, is determined in the power failure plan sentence to be identified
The operation equipment for including；
According to the action type and the operation equipment, the power failure thing in the power failure plan sentence to be identified is determined
Part.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains multiple power failure plans
Sentence is as sample sentence；Each sample sentence is clustered, the corresponding sample sentence of each action type is obtained；To each
The corresponding sample sentence of action type carries out canonical tanalysis, and the power failure plan sentence for obtaining each action type is corresponding just
Then expression formula.
In one embodiment, it also performs the steps of when processor executes computer program according to the sample sentence
The Pinyin sorting of middle phonetic transcriptions of Chinese characters is ranked up each sample sentence；According to the sequence of each sample sentence, each behaviour is determined
Make the corresponding sample sentence of type.
In one embodiment, the Pinyin sorting includes positive sequence and inverse sequence；When processor executes computer program
The positive sequence according to phonetic transcriptions of Chinese characters in the sample sentence is also performed the steps of, positive sequence is carried out to each sample sentence；
According to the positive sequence, the corresponding first sample sentence of each action type is determined；It is spelled according to Chinese character in the sample sentence
The inverse sequence of sound carries out converse sequencing to each sample sentence；According to the converse sequencing, determine that each action type is corresponding
Second sample sentence；According to the first sample sentence and the second sample sentence, the corresponding sample of each action type is determined
This sentence.
In one embodiment, it also performs the steps of when processor executes computer program to the power failure to be identified
Plan sentence is segmented, and multiple Feature Words are obtained；Part-of-speech tagging is carried out to the Feature Words, it is right according to the part-of-speech tagging
Each Feature Words carry out syntax dependency parsing；According to the syntax dependency parsing as a result, determining the power failure to be identified
The operation equipment for including in plan sentence.
In one embodiment, it also performs the steps of when processor executes computer program by the power failure to be identified
Plan the pre-set pyltp model of input by sentence, it is interdependent to obtain the corresponding syntax of the power failure plan sentence to be identified
The result of analysis；According to the syntax dependency parsing as a result, determining the operation for including in the power failure plan sentence to be identified
Equipment.
In one embodiment, it also performs the steps of when processor executes computer program by the power failure to be identified
Plan to obtain the corresponding target regular expression of the power failure plan sentence to be identified in input by sentence regular expression library；Institute
It states in regular expression library comprising multiple regular expressions；According to the corresponding action type of the target regular expression,
Determine the corresponding action type of the power failure plan sentence to be identified.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Obtain the corresponding regular expression of power failure plan sentence of each action type；
Power failure plan sentence to be identified is received, according to the regular expression, matching obtains the power failure plan to be identified
The corresponding action type of sentence；
Syntax dependency parsing is carried out to the power failure plan sentence to be identified, is determined in the power failure plan sentence to be identified
The operation equipment for including；
According to the action type and the operation equipment, the power failure thing in the power failure plan sentence to be identified is determined
Part.
In one embodiment, it is also performed the steps of when computer program is executed by processor and obtains multiple power failure meters
Sentence is drawn as sample sentence；Each sample sentence is clustered, the corresponding sample sentence of each action type is obtained；To each
The corresponding sample sentence of a action type carries out canonical tanalysis, and the power failure plan sentence for obtaining each action type is corresponding
Regular expression.
In one embodiment, it is also performed the steps of when computer program is executed by processor according to the sample language
The Pinyin sorting of phonetic transcriptions of Chinese characters, is ranked up each sample sentence in sentence；According to the sequence of each sample sentence, determine each
The corresponding sample sentence of action type.
In one embodiment, the Pinyin sorting includes positive sequence and inverse sequence；Computer program is executed by processor
When also perform the steps of positive sequence according to phonetic transcriptions of Chinese characters in the sample sentence, positive row is carried out to each sample sentence
Sequence；According to the positive sequence, the corresponding first sample sentence of each action type is determined；According to Chinese character in the sample sentence
The inverse sequence of phonetic carries out converse sequencing to each sample sentence；According to the converse sequencing, determine that each action type is corresponding
The second sample sentence；According to the first sample sentence and the second sample sentence, determine that each action type is corresponding
Sample sentence.
In one embodiment, it also performs the steps of when computer program is executed by processor and to be identified stops to described
Electricity plan sentence is segmented, and multiple Feature Words are obtained；Part-of-speech tagging is carried out to the Feature Words, according to the part-of-speech tagging,
Syntax dependency parsing is carried out to each Feature Words；According to the syntax dependency parsing as a result, determining described to be identified stop
The operation equipment for including in electricity plan sentence.
In one embodiment, it also performs the steps of when computer program is executed by processor and to be identified stops described
Electricity plan the pre-set pyltp model of input by sentence, obtain the corresponding syntax of the power failure plan sentence to be identified according to
Deposit the result of analysis；According to the syntax dependency parsing as a result, determining the behaviour for including in the power failure plan sentence to be identified
Make equipment.
In one embodiment, it also performs the steps of when computer program is executed by processor and to be identified stops described
In electricity plan input by sentence regular expression library, the corresponding target regular expression of the power failure plan sentence to be identified is obtained；
It include multiple regular expressions in the regular expression library；According to the corresponding operation class of the target regular expression
Type determines the corresponding action type of the power failure plan sentence to be identified.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of power-off event based on power failure plan sentence determines method, which comprises
Obtain the corresponding regular expression of power failure plan sentence of each action type；
Power failure plan sentence to be identified is received, according to the regular expression, matching obtains the power failure plan sentence to be identified
Corresponding action type；
Syntax dependency parsing is carried out to the power failure to be identified plan sentence, determines in the power failure plan sentence to be identified and includes
Operation equipment；
According to the action type and the operation equipment, the power-off event in the power failure plan sentence to be identified is determined.
2. the method according to claim 1, wherein the power failure plan sentence pair for obtaining each action type
The regular expression answered, comprising:
Multiple power failure plan sentences are obtained as sample sentence；
Each sample sentence is clustered, the corresponding sample sentence of each action type is obtained；
Canonical tanalysis is carried out to the corresponding sample sentence of each action type, obtains the power failure plan language of each action type
The corresponding regular expression of sentence.
3. according to the method described in claim 2, obtaining each it is characterized in that, described cluster each sample sentence
The corresponding sample sentence of action type, comprising:
According to the Pinyin sorting of phonetic transcriptions of Chinese characters in the sample sentence, each sample sentence is ranked up；
According to the sequence of each sample sentence, the corresponding sample sentence of each action type is determined.
4. according to the method described in claim 3, it is characterized in that, the Pinyin sorting includes positive sequence and inverse sequence；
According to the Pinyin sorting of phonetic transcriptions of Chinese characters in the sample sentence, each sample sentence is ranked up, comprising:
According to the positive sequence of phonetic transcriptions of Chinese characters in the sample sentence, positive sequence is carried out to each sample sentence；
According to the positive sequence, the corresponding first sample sentence of each action type is determined；
According to the inverse sequence of phonetic transcriptions of Chinese characters in the sample sentence, converse sequencing is carried out to each sample sentence；
According to the converse sequencing, the corresponding second sample sentence of each action type is determined；
According to the first sample sentence and the second sample sentence, the corresponding sample sentence of each action type is determined.
5. the method according to claim 1, wherein it is interdependent to carry out syntax to the power failure plan sentence to be identified
Analysis, determines the operation equipment for including in the power failure plan sentence to be identified, comprising:
The power failure plan sentence to be identified is segmented, multiple Feature Words are obtained；
Part-of-speech tagging is carried out to the Feature Words, according to the part-of-speech tagging, interdependent point of syntax is carried out to each Feature Words
Analysis；
According to the syntax dependency parsing as a result, determining the operation equipment for including in the power failure plan sentence to be identified.
6. according to the method described in claim 5, it is characterized in that, interdependent to the power failure plan sentence progress syntax to be identified
Analysis, determines the operation equipment for including in the power failure plan sentence to be identified, comprising:
The pre-set pyltp model of input by sentence is planned into the power failure to be identified, obtains the power failure plan language to be identified
The result of the corresponding syntax dependency parsing of sentence；
According to the syntax dependency parsing as a result, determining the operation equipment for including in the power failure plan sentence to be identified.
7. method according to any one of claims 1 to 6, which is characterized in that it receives power failure to be identified and plans sentence, according to
The regular expression, matching obtain the corresponding action type of the power failure plan sentence to be identified, comprising:
By in the power failure plan to be identified input by sentence regular expression library, it is corresponding to obtain the power failure plan sentence to be identified
Target regular expression；It include multiple regular expressions in the regular expression library；
According to the corresponding action type of the target regular expression, the corresponding operation of the power failure plan sentence to be identified is determined
Type.
8. a kind of power-off event determining device based on the plan sentence that has a power failure, which is characterized in that described device includes:
Expression formula obtains module, for obtaining the corresponding regular expression of power failure plan sentence of each action type；
Action type matching module, for receiving power failure plan sentence to be identified, according to the regular expression, matching obtains institute
State the corresponding action type of power failure plan sentence to be identified；
Operate equipment determining module, for carrying out syntax dependency parsing to the powers failure to be identified plan sentence, determine described in
The operation equipment for including in identification power failure plan sentence；
Identification module, for determining in the power failure plan sentence to be identified according to the action type and the operation equipment
Power-off event.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811570176.5A CN109800423A (en) | 2018-12-21 | 2018-12-21 | Method and apparatus are determined based on the power-off event of power failure plan sentence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811570176.5A CN109800423A (en) | 2018-12-21 | 2018-12-21 | Method and apparatus are determined based on the power-off event of power failure plan sentence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109800423A true CN109800423A (en) | 2019-05-24 |
Family
ID=66557370
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811570176.5A Pending CN109800423A (en) | 2018-12-21 | 2018-12-21 | Method and apparatus are determined based on the power-off event of power failure plan sentence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109800423A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110647943A (en) * | 2019-09-26 | 2020-01-03 | 西北工业大学 | Cutting tool wear monitoring method based on evolutionary data cluster analysis |
| CN111177323A (en) * | 2019-12-31 | 2020-05-19 | 国网安徽省电力有限公司安庆供电公司 | Power failure plan unstructured data extraction and identification method based on artificial intelligence |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160154790A1 (en) * | 2007-09-18 | 2016-06-02 | Elsevier, Inc. | Natural language processing method |
| CN105786793A (en) * | 2015-12-23 | 2016-07-20 | 百度在线网络技术（北京）有限公司 | Method and device for analyzing semanteme of spoken language text information |
| CN108304372A (en) * | 2017-09-29 | 2018-07-20 | 腾讯科技（深圳）有限公司 | Entity extraction method and apparatus, computer equipment and storage medium |
-
2018
- 2018-12-21 CN CN201811570176.5A patent/CN109800423A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160154790A1 (en) * | 2007-09-18 | 2016-06-02 | Elsevier, Inc. | Natural language processing method |
| CN105786793A (en) * | 2015-12-23 | 2016-07-20 | 百度在线网络技术（北京）有限公司 | Method and device for analyzing semanteme of spoken language text information |
| CN108304372A (en) * | 2017-09-29 | 2018-07-20 | 腾讯科技（深圳）有限公司 | Entity extraction method and apparatus, computer equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 鲁华永等: "基于正则表达式的变电站集中监控信息解析方法", 《电力系统自动化》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110647943A (en) * | 2019-09-26 | 2020-01-03 | 西北工业大学 | Cutting tool wear monitoring method based on evolutionary data cluster analysis |
| CN111177323A (en) * | 2019-12-31 | 2020-05-19 | 国网安徽省电力有限公司安庆供电公司 | Power failure plan unstructured data extraction and identification method based on artificial intelligence |
| CN111177323B (en) * | 2019-12-31 | 2022-04-01 | 国网安徽省电力有限公司安庆供电公司 | Power failure plan unstructured data extraction and identification method based on artificial intelligence |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110704633A (en) | Named entity recognition method and device, computer equipment and storage medium | |
| CN110162627A (en) | Data increment method, apparatus, computer equipment and storage medium | |
| WO2019228466A1 (en) | Named entity recognition method, device and apparatus, and storage medium | |
| EP3614378A1 (en) | Method and apparatus for identifying key phrase in audio, device and medium | |
| CN109815333A (en) | Information acquisition method, device, computer equipment and storage medium | |
| CN111783471B (en) | Semantic recognition method, device, equipment and storage medium for natural language | |
| CN109815489A (en) | Collection information generating method, device, computer equipment and storage medium | |
| CN107704539A (en) | The method and device of extensive text message batch structuring | |
| CN110427612A (en) | Based on multilingual entity disambiguation method, device, equipment and storage medium | |
| CN109800423A (en) | Method and apparatus are determined based on the power-off event of power failure plan sentence | |
| CN109800309A (en) | Classroom Discourse genre classification methods and device | |
| CN110968661A (en) | Event extraction method and system, computer readable storage medium and electronic device | |
| CN114240672A (en) | Method for identifying green asset proportion and related product | |
| CN113918031A (en) | System and method for Chinese punctuation recovery using sub-character information | |
| CN115510180A (en) | Multi-field-oriented complex event element extraction method | |
| CN111354354B (en) | Training method, training device and terminal equipment based on semantic recognition | |
| CN113792538B (en) | Method and device for rapidly generating operation ticket of power distribution network | |
| CN112417852B (en) | Method and device for judging importance of code segment | |
| CN112182157B (en) | Training method of online sequence labeling model, online labeling method and related equipment | |
| CN110826330B (en) | Name recognition method and device, computer equipment and readable storage medium | |
| CN117592470A (en) | Low-cost gazette data extraction method driven by large language model | |
| CN112507117A (en) | Deep learning-based maintenance suggestion automatic classification method and system | |
| CN112036179A (en) | Electric power plan information extraction method based on text classification and semantic framework | |
| CN110866394A (en) | Company name identification method and device, computer equipment and readable storage medium | |
| Srinivasagan et al. | An automated system for tamil named entity recognition using hybrid approach |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200923 Address after: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Address before: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant before: GUANGZHOU POWER SUPPLY Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190524 |