CN110146789A - It is a kind of intelligently to transport inspection report method and device - Google Patents
It is a kind of intelligently to transport inspection report method and device Download PDFInfo
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- CN110146789A CN110146789A CN201910566969.8A CN201910566969A CN110146789A CN 110146789 A CN110146789 A CN 110146789A CN 201910566969 A CN201910566969 A CN 201910566969A CN 110146789 A CN110146789 A CN 110146789A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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Abstract
Present disclose provides a kind of intelligence fortune inspection report method and devices.Wherein, a kind of intelligence fortune inspection report method includes judge transmission line malfunction shaft tower position and failure cause, process are as follows: using Fault Location Algorithm, obtains the distance between current measuring point and fault point, and then failure shaft tower number is converted to, judge breakdown stick tower position；At least two fault signatures that match with failure cause are chosen to train neural network, judge failure cause；The map data base for transferring current region of patrolling and examining, the positioning failure shaft tower position in map data base inquire current measuring point to the polling path of failure shaft tower and mark in corresponding map, form navigation map；Breakdown stick tower position and failure cause and navigation map are filled and form malfunction notification into preset malfunction notification template, and pushes in client and shows.It can reduce the fault outage time, improve power supply reliability.
Description
Technical field
The disclosure belongs to fortune inspection notification field more particularly to a kind of intelligence fortune inspection report method and device.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill
Art.
With the development of promotion " internet+" and the depth integration of traditional business, intelligence is transported inspection technology and is rapidly developed, power grid
The raising of fortune inspection efficiency will be helpful to quick, Accurate Diagnosis electric power system fault, restores the normal operating conditions of power grid in time, protects
Hinder power supply quality, has great importance to strong, reliable, self-healing smart grid is constructed.
Since transmission line of electricity is long, shaft tower is more, and there are crew shortage, the heavy problem of workload, fortune to examine work for fortune inspection maintenance
Quality has stronger dependence to fortune inspection practitioner.Inventors have found that the work of fortune inspection at present depends primarily on and manually goes to seek
Fault point is looked for, is informed by way of phone when failure occurs by traffic department and is led to after related personnel, fortune inspection personnel are connected to phone
It crosses selector bar tower position and determines abort situation, then reached at failure by Mobile Telephone Gps, generally require long time, delay event
Hinder repair time.
Summary of the invention
To solve the above-mentioned problems, the first aspect of the disclosure provides a kind of intelligence fortune inspection report method, can subtract
Few fault outage time, improve power supply reliability.
To achieve the goals above, the disclosure adopts the following technical scheme that
A kind of intelligence fortune inspection report method, comprising:
Judge transmission line malfunction shaft tower position and failure cause, process are as follows:
Using Fault Location Algorithm, the distance between current measuring point and fault point are obtained, and then is converted to failure shaft tower number,
Judge breakdown stick tower position；
At least two fault signatures that match with failure cause are chosen to train neural network, judge failure cause；
The map data base for transferring current region of patrolling and examining, positioning failure shaft tower position, inquires and works as in map data base
Preceding measuring point to failure shaft tower polling path and marked in corresponding map, formed navigation map；
Breakdown stick tower position and failure cause and navigation map are filled into preset malfunction notification template and formed
Malfunction notification, and push in client and show.
Further, the fault signature includes meteorological data feature, seasonal characteristics, image recognition feature, waveform spy
Sign, historic fault signature and passway for transmitting electricity situation；Failure cause is divided into four classes, including lightning fault, engineering truck, mountain fire and
Apparatus body.
The advantage is that in conjunction with Meteorological Characteristics, seasonal characteristic, characteristics of image, wave character, going through caused by the technical solution
History fault signature, these Multi-source Information Fusions of passway for transmitting electricity situation information carry out failure cause differentiation, solve and calculate in tradition
The problem of insoluble failure and reason differentiate under method, improves the accuracy of failure cause judgement.
Further, the process of training neural network are as follows:
According to known failure cause and its at least two fault signatures to match, training sample set is formed；
Training sample in training sample set is input in the neural network of the preset structure of initialization；
The error of neural network output is calculated, if error range is less than preset condition threshold value, training is completed；Otherwise it adjusts
Parameter in neural network continues to train, until error range is less than preset condition threshold value or meets default training stop condition,
Stop neural metwork training.
Caused by the technical solution the advantage is that by the way that the nerve trained and completed is trained and utilized to neural network
Network carries out failure cause judgement, reduces the calculating time of failure cause judgement, improves the efficiency of failure cause judgement, into
And improve the timeliness of fortune inspection notification.
Further, the malfunction notification pushes to client and instant playback through instant communication server.
The advantage is that pushing malfunction notification using instant communication server caused by the technical solution, on the one hand save
On the other hand the cost of program development and time improve the efficiency of fortune inspection notification, failure are repaired in time,
Reduce the fault outage time, improve power supply reliability, ensure that the stable operation of entire transmission line of electricity.
The second aspect of the disclosure provides a kind of intelligence fortune inspection aviso device.
A kind of intelligence fortune inspection aviso device, comprising:
Abort situation and reason judgment module, are used to judge transmission line malfunction shaft tower position and failure cause；It is described
Abort situation and reason judgment module include:
Abort situation judging submodule is used to obtain between current measuring point and fault point using Fault Location Algorithm
Distance, and then failure shaft tower number is converted to, judge breakdown stick tower position；
Failure cause judging submodule chooses at least two fault signatures that match with failure cause to train nerve net
Network judges failure cause；
Navigation map forms module, is used to transfer the map data base of current region of patrolling and examining, fixed in map data base
Position breakdown stick tower position, inquires current measuring point to the polling path of failure shaft tower and marks in corresponding map, forms navigation
Map；
Malfunction notification display module is used to fill breakdown stick tower position and failure cause and navigation map to setting in advance
Malfunction notification is formed in fixed malfunction notification template, and pushes in client and shows.
Further, in the failure cause judging submodule, fault signature includes meteorological data feature, seasonal spy
Sign, image recognition feature, wave character, historic fault signature and passway for transmitting electricity situation；Failure cause is divided into four classes, including thunder
Hit failure, engineering truck, mountain fire and apparatus body.
The advantage is that in conjunction with Meteorological Characteristics, seasonal characteristic, characteristics of image, wave character, going through caused by the technical solution
History fault signature, these Multi-source Information Fusions of passway for transmitting electricity situation information carry out failure cause differentiation, solve and calculate in tradition
The problem of insoluble failure and reason differentiate under method, improves the accuracy of failure cause judgement.
Further, in the failure cause judging submodule, the process of training neural network are as follows:
According to known failure cause and its at least two fault signatures to match, training sample set is formed；
Training sample in training sample set is input in the neural network of the preset structure of initialization；
The error of neural network output is calculated, if error range is less than preset condition threshold value, training is completed；Otherwise it adjusts
Parameter in neural network continues to train, until error range is less than preset condition threshold value or meets default training stop condition,
Stop neural metwork training.
Caused by the technical solution the advantage is that by the way that the nerve trained and completed is trained and utilized to neural network
Network carries out failure cause judgement, reduces the calculating time of failure cause judgement, improves the efficiency of failure cause judgement, into
And improve the timeliness of fortune inspection notification.
Further, in the malfunction notification display module, malfunction notification pushes to client through instant communication server
Hold simultaneously instant playback.
The advantage is that pushing malfunction notification using instant communication server caused by the technical solution, on the one hand save
On the other hand the cost of program development and time improve the efficiency of fortune inspection notification, failure are repaired in time,
Reduce the fault outage time, improve power supply reliability, ensure that the stable operation of entire transmission line of electricity.
The third aspect of the disclosure provides a kind of computer readable storage medium.
A kind of computer readable storage medium, is stored thereon with computer program, realization when which is executed by processor
Step in intelligence fortune inspection report method as described above.
The fourth aspect of the disclosure provides a kind of computer equipment.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor realize the step in intelligence fortune inspection report method as described above when executing described program.
The beneficial effect of the disclosure is:
(1) disclosure transfers the map data base of current region of patrolling and examining, in map data base positioning it has been determined that therefore
Hinder shaft tower position, and inquire current measuring point to the polling path of failure shaft tower and marked in corresponding map, forms navigation ground
Figure；The breakdown stick tower position and failure cause and navigation map that have judged are filled into the shape into preset malfunction notification template
At malfunction notification, pushes in client show in time, failure is repaired in time, when reducing fault outage
Between, power supply reliability is improved, ensure that the stable operation of entire transmission line of electricity.
(2) disclosure is suitable for all power supply companies, and Utilities Electric Co. is cooperated by technology and each department, leads to fault message
And navigation information is timely pushed to related O&M service personnel, can reach scene, fastly in first time account fault condition
Quick-recovery failure.
Detailed description of the invention
The Figure of description for constituting a part of this disclosure is used to provide further understanding of the disclosure, and the disclosure is shown
Meaning property embodiment and its explanation do not constitute the improper restriction to the disclosure for explaining the disclosure.
Fig. 1 is a kind of intelligence fortune inspection report method flow chart of the embodiment of the present disclosure.
Fig. 2 is a kind of intelligence fortune inspection aviso device structural schematic diagram of the embodiment of the present disclosure.
Specific embodiment
The disclosure is described further with embodiment with reference to the accompanying drawing.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the disclosure.Unless another
It indicates, all technical and scientific terms used herein has usual with disclosure person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the disclosure.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
Embodiment one
Fig. 1 is a kind of intelligence fortune inspection report method flow chart of the embodiment of the present disclosure.
As shown in Figure 1, the intelligence fortune inspection report method of the present embodiment, comprising:
S101: judge transmission line malfunction shaft tower position and failure cause, process are as follows:
Using Fault Location Algorithm, the distance between current measuring point and fault point are obtained, and then is converted to failure shaft tower number,
Judge breakdown stick tower position；
At least two fault signatures that match with failure cause are chosen to train neural network, judge failure cause.
In the present embodiment, the fault signature includes meteorological data feature, seasonal characteristics, image recognition feature, wave
Shape feature, historic fault signature and passway for transmitting electricity situation；
Failure cause is divided into four classes, including lightning fault, engineering truck, mountain fire and apparatus body.
Specifically, meteorological data feature: transmission line of electricity nearby in 10 milimeter grid regions rain or shine, season, time, temperature
Degree, humidity, wind-force, landform.
Seasonal characteristics: spring (May in March -), summer (August in June -), autumn (September-November), winter (- 2 months December)
Image recognition feature: engineering truck, mountain fire, lightning stroke trace, unit exception.
Wave character: metallicity, current waveform, zero-sequence current high-frequency harmonic, zero-sequence current DC component, wavelet packet energy
Amount.
Historic fault signature: the number of stoppages caused by lightning fault number height, engineering truck is high, apparatus body causes
Failure is high.
Passway for transmitting electricity situation: the topographic features along 5 kilometer radius of route.
Fault signature table, as shown in table 1:
1 fault signature table of table
It is understood that in other embodiments, fault signature includes but is not limited to meteorological data feature, seasonal spy
Sign, image recognition feature, wave character, historic fault signature and passway for transmitting electricity situation, can also be meteorological data feature, season
Property feature, image recognition feature, wave character, any at least two feature in historic fault signature and passway for transmitting electricity situation
Combination, those skilled in the art can select as the case may be.
Failure cause can also be divided into other types, and those skilled in the art can specifically divide as the case may be.
The advantage is that in conjunction with Meteorological Characteristics, seasonal characteristic, characteristics of image, wave character, going through caused by the technical solution
History fault signature, these Multi-source Information Fusions of passway for transmitting electricity situation information carry out failure cause differentiation, solve and calculate in tradition
The problem of insoluble failure and reason differentiate under method, improves the accuracy of failure cause judgement.
In specific implementation, the process of training neural network are as follows:
1) according to known failure cause and its at least two fault signatures to match, training sample set is formed；
Specifically, fault signature value determines are as follows:
Meteorological Characteristics: thunderstorm is indicated with 1, yin is indicated with 0.5, rain is indicated with 0.
Seasonal characteristic: spring, summer, autumn and winter is respectively 0,0.25,0.5,1 expression.
Characteristics of image: lightning stroke trace is 1, engineering truck 2, mountain fire 3, unit exception are 4 expressions.
Wave character: the single order and second-order differential of false voltage, current sampling data are calculated.It is drawn by being used to discrete point
A bright day function interpolation and Richardson extrapolation seek numerical differentiation, as metallicity and high resistance numerical value.
Zero-sequence current Fourier expansion method is broken down into a series of sine that frequencies are power frequency positive integer times
The sum of amount.Failure wave-recording sample time domain signal is transformed to frequency-region signal, can the harmonic wave to failure zero-sequence current contain with direct current
Measure feature carries out 3 sub-frequency analysis, obtains corresponding numerical value.
From the fault recorder data and relevant weather, passway for transmitting electricity information, image recognition information, historical failure of given sample
In, extract effective failure Meteorological Characteristics and numerical characteristics.
2) training sample in training sample set is input in the neural network of preset structure of initialization.
Specifically, during initializing neural network, the input layer of neural network reads the input quantity of sample, if
Fixed random initial weight and threshold value.
3) error of neural network output is calculated, if error range is less than preset condition threshold value, training is completed；Otherwise it adjusts
Parameter in whole neural network continues to train, until error range is less than preset condition threshold value or meets default training stop condition
(such as: frequency of training is more than n times, wherein n is default datum, such as 20 times), stop neural metwork training.
Specifically, signal is successively transmitted from input layer to hidden layer, output layer, calculates the output of the last layer
Value；If error precision meets setting condition threshold value less than 0.001, complete to train, output is as a result, otherwise by error from output
Layer, hidden layer are successively fed back to input layer, the correction amount of each layer weight and threshold values are calculated according to gradient descent method, according to new power
Value and threshold value continue to train, until the precision until exporting result is met the requirements or meet default training stop condition (such as: instruction
Practicing number is more than n times, wherein n is default datum, such as 20 times).
It should be noted that neural network can be BP neural network or CNN neural network, those skilled in the art can basis
Actual conditions are specifically chosen the structure type of neural network.
Caused by the technical solution the advantage is that by the way that the nerve trained and completed is trained and utilized to neural network
Network carries out failure cause judgement, reduces the calculating time of failure cause judgement, improves the efficiency of failure cause judgement, into
And improve the timeliness of fortune inspection notification.
S102: transferring the map data base of current region of patrolling and examining, the positioning failure shaft tower position in map data base, inquiry
It has current measuring point to the polling path of failure shaft tower and is marked in corresponding map, forms navigation map.
According to breakdown stick tower position, the shaft tower coordinate of storage is inquired, determines failure longitude and latitude, carries out polling path inquiry,
Polling path can be shown on map.
Wherein, the form of shaft tower information storage, as shown in table 2.
2 shaft tower format information memory of table
| Serial number | Property Name | Explanation | Type |
| 1 | id | Record number | Long |
| 2 | faultTime | Record the time | Time |
| 3 | text | Text information (fault diagnosis result) | String |
| 4 | picFile | Png picture file stream | byte[] |
| 5 | GPS | Shaft tower position coordinates | String |
| 6 | contacts | Recipient | String |
Specifically, changing coordinates are accurately positioned as departure place using GPS, failure shaft tower coordinate as a purpose, arrive by formation
Up to the precise path of shaft tower.In specific implementation by api interface communications protocol, the map datum of current region of patrolling and examining is obtained
Library forms path navigation.
S103: breakdown stick tower position and failure cause and navigation map are filled into preset malfunction notification template
Malfunction notification is formed, and pushes in client and shows.
It should be noted that malfunction notification template is preset, it can be the text of breakdown stick tower position and failure cause
Word statement+navigation map form can also be character express+fault waveform figure+navigation of breakdown stick tower position and failure cause
The form of map, those skilled in the art can come specifically to set malfunction notification template according to the actual situation.
Such as: the character express of breakdown stick tower position and failure cause, as shown in table 3.
The character express of table 3 breakdown stick tower position and failure cause
As an implementation, the malfunction notification pushes to client and instant playback through instant communication server.
In this example, instant communication server is wechat enterprise server.
It is understood that instant communication server can also be wechat server, Tencent's server etc., those skilled in the art
Member can be specifically chosen the corresponding instant communication server of instant communication mode of respective type according to the actual situation.
The advantage is that pushing malfunction notification using instant communication server caused by the technical solution, on the one hand save
On the other hand the cost of program development and time improve the efficiency of fortune inspection notification, failure are repaired in time,
Reduce the fault outage time, improve power supply reliability, ensure that the stable operation of entire transmission line of electricity.
The present embodiment transfers the map data base of current region of patrolling and examining, in map data base positioning it has been determined that failure
Shaft tower position, and inquire current measuring point to the polling path of failure shaft tower and marked in corresponding map, form navigation map；
The breakdown stick tower position and failure cause and navigation map that have judged are filled into preset malfunction notification template and formed
Malfunction notification pushes in client show in time, failure is repaired in time, reduces the fault outage time,
Power supply reliability is improved, ensure that the stable operation of entire transmission line of electricity.
The present embodiment is suitable for all power supply companies, and Utilities Electric Co. is cooperated by technology and each department, leads to fault message
And navigation information is timely pushed to related O&M service personnel, can reach scene, fastly in first time account fault condition
Quick-recovery failure.
Embodiment two
Fig. 2 is a kind of intelligence fortune inspection aviso device structural schematic diagram of the embodiment of the present disclosure.
As shown in Fig. 2, the intelligence fortune inspection aviso device of the present embodiment, comprising:
(1) abort situation and reason judgment module, are used to judge transmission line malfunction shaft tower position and failure cause.
Specifically, the abort situation and reason judgment module include:
(1.1) abort situation judging submodule, is used for using Fault Location Algorithm, obtain current measuring point and fault point it
Between distance, and then be converted to failure shaft tower number, judge breakdown stick tower position；
(1.2) failure cause judging submodule chooses at least two fault signatures that match with failure cause to train
Neural network judges failure cause；
As a kind of specific embodiment, in the failure cause judging submodule, fault signature includes meteorological data
Feature, seasonal characteristics, image recognition feature, wave character, historic fault signature and passway for transmitting electricity situation；Failure cause point
For four classes, including lightning fault, engineering truck, mountain fire and apparatus body.
It is understood that in other embodiments, fault signature includes but is not limited to meteorological data feature, seasonal spy
Sign, image recognition feature, wave character, historic fault signature and passway for transmitting electricity situation, can also be meteorological data feature, season
Property feature, image recognition feature, wave character, any at least two feature in historic fault signature and passway for transmitting electricity situation
Combination, those skilled in the art can select as the case may be.
Failure cause can also be divided into other types, and those skilled in the art can specifically divide as the case may be.
The advantage is that in conjunction with Meteorological Characteristics, seasonal characteristic, characteristics of image, wave character, going through caused by the technical solution
History fault signature, these Multi-source Information Fusions of passway for transmitting electricity situation information carry out failure cause differentiation, solve and calculate in tradition
The problem of insoluble failure and reason differentiate under method, improves the accuracy of failure cause judgement.
As a kind of specific embodiment, in the failure cause judging submodule, the process of training neural network are as follows:
According to known failure cause and its at least two fault signatures to match, training sample set is formed；
Training sample in training sample set is input in the neural network of the preset structure of initialization；
Calculate neural network output error, if error range be less than preset condition threshold value (such as: error precision satisfaction sets
Fixed condition threshold value is less than 0.001), then training is completed；Otherwise the parameter adjusted in neural network continues to train, until error range
Less than preset condition threshold value or meet default training stop condition (such as: frequency of training is more than n times, wherein n is default known
Number, such as 20 times), stop neural metwork training.
It should be noted that neural network can be BP neural network or CNN neural network, those skilled in the art can basis
Actual conditions are specifically chosen the structure type of neural network.
Caused by the technical solution the advantage is that by the way that the nerve trained and completed is trained and utilized to neural network
Network carries out failure cause judgement, reduces the calculating time of failure cause judgement, improves the efficiency of failure cause judgement, into
And improve the timeliness of fortune inspection notification.
(2) navigation map forms module, is used to transfer the map data base of current region of patrolling and examining, in map data base
Positioning failure shaft tower position inquires current measuring point to the polling path of failure shaft tower and marks in corresponding map, and formation is led
Navigate map.
(3) malfunction notification display module is used to fill breakdown stick tower position and failure cause and navigation map to pre-
Malfunction notification is formed in the malfunction notification template first set, and pushes in client and shows.
It should be noted that malfunction notification template is preset, it can be the text of breakdown stick tower position and failure cause
Word statement+navigation map form can also be character express+fault waveform figure+navigation of breakdown stick tower position and failure cause
The form of map, those skilled in the art can come specifically to set malfunction notification template according to the actual situation.
As an implementation, in the malfunction notification display module, malfunction notification is pushed away through instant communication server
It send to client and instant playback.
In this example, instant communication server is wechat enterprise server.
It is understood that instant communication server can also be wechat server, Tencent's server etc., those skilled in the art
Member can be specifically chosen the corresponding instant communication server of instant communication mode of respective type according to the actual situation.
The advantage is that pushing malfunction notification using instant communication server caused by the technical solution, on the one hand save
On the other hand the cost of program development and time improve the efficiency of fortune inspection notification, failure are repaired in time,
Reduce the fault outage time, improve power supply reliability, ensure that the stable operation of entire transmission line of electricity.
The present embodiment transfers the map data base of current region of patrolling and examining, in map data base positioning it has been determined that failure
Shaft tower position, and inquire current measuring point to the polling path of failure shaft tower and marked in corresponding map, form navigation map；
The breakdown stick tower position and failure cause and navigation map that have judged are filled into preset malfunction notification template and formed
Malfunction notification pushes in client show in time, failure is repaired in time, reduces the fault outage time,
Power supply reliability is improved, ensure that the stable operation of entire transmission line of electricity.
Embodiment three
A kind of computer readable storage medium is present embodiments provided, computer program is stored thereon with, which is located
Reason device realizes following steps when executing:
Judge transmission line malfunction shaft tower position and failure cause, process are as follows:
Using Fault Location Algorithm, the distance between current measuring point and fault point are obtained, and then is converted to failure shaft tower number,
Judge breakdown stick tower position；
At least two fault signatures that match with failure cause are chosen to train neural network, judge failure cause；
The map data base for transferring current region of patrolling and examining, positioning failure shaft tower position, inquires and works as in map data base
Preceding measuring point to failure shaft tower polling path and marked in corresponding map, formed navigation map；
Breakdown stick tower position and failure cause and navigation map are filled into preset malfunction notification template and formed
Malfunction notification, and push in client and show.
The present embodiment transfers the map data base of current region of patrolling and examining, in map data base positioning it has been determined that failure
Shaft tower position, and inquire current measuring point to the polling path of failure shaft tower and marked in corresponding map, form navigation map；
The breakdown stick tower position and failure cause and navigation map that have judged are filled into preset malfunction notification template and formed
Malfunction notification pushes in client show in time, failure is repaired in time, reduces the fault outage time,
Power supply reliability is improved, ensure that the stable operation of entire transmission line of electricity.
Example IV
Present embodiments provide a kind of computer equipment, including memory, processor and storage are on a memory and can be
The computer program run on processor, the processor realize following steps when executing described program:
Judge transmission line malfunction shaft tower position and failure cause, process are as follows:
Using Fault Location Algorithm, the distance between current measuring point and fault point are obtained, and then is converted to failure shaft tower number,
Judge breakdown stick tower position；
At least two fault signatures that match with failure cause are chosen to train neural network, judge failure cause；
The map data base for transferring current region of patrolling and examining, positioning failure shaft tower position, inquires and works as in map data base
Preceding measuring point to failure shaft tower polling path and marked in corresponding map, formed navigation map；
Breakdown stick tower position and failure cause and navigation map are filled into preset malfunction notification template and formed
Malfunction notification, and push in client and show.
The present embodiment transfers the map data base of current region of patrolling and examining, in map data base positioning it has been determined that failure
Shaft tower position, and inquire current measuring point to the polling path of failure shaft tower and marked in corresponding map, form navigation map；
The breakdown stick tower position and failure cause and navigation map that have judged are filled into preset malfunction notification template and formed
Malfunction notification pushes in client show in time, failure is repaired in time, reduces the fault outage time,
Power supply reliability is improved, ensure that the stable operation of entire transmission line of electricity.
It should be understood by those skilled in the art that, embodiment of the disclosure can provide as method, system or computer program
Product.Therefore, the shape of hardware embodiment, software implementation or embodiment combining software and hardware aspects can be used in the disclosure
Formula.Moreover, the disclosure, which can be used, can use storage in the computer that one or more wherein includes computer usable program code
The form for the computer program product implemented on medium (including but not limited to magnetic disk storage and optical memory etc.).
The disclosure is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present disclosure
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
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 program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random
AccessMemory, RAM) etc..
The foregoing is merely preferred embodiment of the present disclosure, are not limited to the disclosure, for the skill of this field
For art personnel, the disclosure can have various modifications and variations.It is all within the spirit and principle of the disclosure, it is made any to repair
Change, equivalent replacement, improvement etc., should be included within the protection scope of the disclosure.
Claims (10)
1. a kind of intelligence fortune inspection report method characterized by comprising
Judge transmission line malfunction shaft tower position and failure cause, process are as follows:
Using Fault Location Algorithm, the distance between current measuring point and fault point are obtained, and then is converted to failure shaft tower number, is judged
It is out of order shaft tower position；
At least two fault signatures that match with failure cause are chosen to train neural network, judge failure cause；
The map data base for transferring current region of patrolling and examining, the positioning failure shaft tower position in map data base, inquires current survey
It puts to the polling path of failure shaft tower and is marked in corresponding map, form navigation map；
Breakdown stick tower position and failure cause and navigation map are filled and form failure into preset malfunction notification template
Notification, and push in client and show.
2. intelligence fortune inspection report method as described in claim 1, which is characterized in that the fault signature includes meteorological data spy
Sign, seasonal characteristics, image recognition feature, wave character, historic fault signature and passway for transmitting electricity situation；Failure cause is divided into
Four classes, including lightning fault, engineering truck, mountain fire and apparatus body.
3. intelligence fortune inspection report method as described in claim 1, which is characterized in that the process of training neural network are as follows:
According to known failure cause and its at least two fault signatures to match, training sample set is formed；
Training sample in training sample set is input in the neural network of the preset structure of initialization；
The error of neural network output is calculated, if error range is less than preset condition threshold value, training is completed；Otherwise adjustment nerve
Parameter in network continues to train, until error range is less than preset condition threshold value or meets default training stop condition, stops
Neural metwork training.
4. intelligence fortune inspection report method as described in claim 1, which is characterized in that the malfunction notification is through instant messaging service
Device pushes to client and instant playback.
5. a kind of intelligence fortune inspection aviso device characterized by comprising
Abort situation and reason judgment module, are used to judge transmission line malfunction shaft tower position and failure cause；The failure
Position and reason judgment module include:
Abort situation judging submodule is used to obtain the distance between current measuring point and fault point using Fault Location Algorithm,
And then failure shaft tower number is converted to, judge breakdown stick tower position；
Failure cause judging submodule, chooses at least two fault signatures that match with failure cause to train neural network,
Judge failure cause；
Navigation map forms module, is used to transfer the map data base of current region of patrolling and examining, and event is positioned in map data base
Hinder shaft tower position, inquire current measuring point to the polling path of failure shaft tower and marked in corresponding map, forms navigation map；
Malfunction notification display module is used to fill breakdown stick tower position and failure cause and navigation map to preset
Malfunction notification is formed in malfunction notification template, and is pushed in client and shown.
6. intelligence fortune inspection aviso device as claimed in claim 5, which is characterized in that in the failure cause judging submodule
In, fault signature include meteorological data feature, seasonal characteristics, image recognition feature, wave character, historic fault signature and
Passway for transmitting electricity situation；Failure cause is divided into four classes, including lightning fault, engineering truck, mountain fire and apparatus body.
7. intelligence fortune inspection aviso device as claimed in claim 5, which is characterized in that in the failure cause judging submodule
In, the process of training neural network are as follows:
According to known failure cause and its at least two fault signatures to match, training sample set is formed；
Training sample in training sample set is input in the neural network of the preset structure of initialization；
The error of neural network output is calculated, if error range is less than preset condition threshold value, training is completed；Otherwise adjustment nerve
Parameter in network continues to train, until error range is less than preset condition threshold value or meets default training stop condition, stops
Neural metwork training.
8. intelligence fortune inspection aviso device as claimed in claim 5, which is characterized in that in the malfunction notification display module,
Malfunction notification pushes to client and instant playback through instant communication server.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
It is realized when row such as the step in intelligence fortune inspection report method of any of claims 1-4.
10. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes such as intelligence of any of claims 1-4 when executing described program
The step in inspection report method can be transported.
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