CN106815647A - A kind of high efficiency distribution network failure repairing system and method based on data analysis - Google Patents
A kind of high efficiency distribution network failure repairing system and method based on data analysis Download PDFInfo
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- CN106815647A CN106815647A CN201611233666.7A CN201611233666A CN106815647A CN 106815647 A CN106815647 A CN 106815647A CN 201611233666 A CN201611233666 A CN 201611233666A CN 106815647 A CN106815647 A CN 106815647A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
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- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
System and method is rushed to repair the invention provides a kind of high efficiency distribution network failure based on data analysis, including for display fault density in real time, power failure range, the real-time analytic unit of circuit and equipment weight overload situations and visual control recovery vehicle and process, for analyzing faulty equipment, the repairing analytic unit of failure cause and working strength, the repairing predicting unit of distribution network failure rule is grasped for analyzing, for analyzing customer complaint data, the good service administrative unit that internet electrical power services are provided and the decision package that O＆M decision-making assistant information is provided for integrating fault data；The present invention rushes to repair related data by compiling distribution, build the analysis platform based on data, distribution repairing lean, gridding, integrated management are realized, for the work such as distribution net equipment management, good service management, distribution planning construction provide basic data and effectively support.
Description
Technical field
The present invention relates to distribution network failure repairing field, and in particular to a kind of high efficiency power distribution network event based on data analysis
Barrier repairing system and method.
Background technology
Requirement of the public to power supply enterprise's electric service in recent years and expectation more and more higher, imbalance between supply and demand are increasingly dashed forward
Go out, wherein electric power safeguard level and electric service level be even more broad masses of the people most concerned about, most directly, most real interests ask
Topic.And in power supply enterprise, the bridgehead of assault fortified position electric power safeguard level, electric service level and users' satisfaction is exactly distribution
Net repairing business, it is related to the fundamental interests of millions of family residential customers in the range of each city proper and suburb, is public power network
The critical position of social value and service theory embodies in department, therefore power distribution network rushes to repair the lifting of the management and service level of specialty,
Lifting to CSAT is just particularly important.
It is primarily present problems with present：
1. 95558 distribute leaflets are taken in current power distribution network repairing work, and a single group retains the work side of repairing record paper record
Formula, lacks the real-time and prediction point to aspects such as power distribution network repairing work order amount, fault type, fault incidence, operating efficiencies
, there is passive repairing, inefficiency in analysis statistics, it is impossible to effectively grasp distribution network failure present situation and rule, easily cause and rob
Repair time-out of showing up, repairing quality low（Repair rate is high）, first-aid repair efficiency is low, low some visual influences client of power supply reliability expires
The service problem of meaning degree.
2. current power distribution network repairing work has that specific aim is not strong, only by 95598 information for providing and repair personnel
Historical experience, lacks fault type and failure amount and each relation factor（Temperature, load, wind-force, time, longitude and latitude etc.）Between have
Effect prediction, it is impossible to the accurate field failure type and reason grasped under different situations, it is impossible in special circumstances（It is summer peak meeting, sudden and violent
Wind and rain weather etc.）Preceding anticipation and preparation repairing Work tool and material, or send staff, vehicle, Work tool etc. or even be directed in advance
The fault type of certain possible large area outburst carries out targetedly staff training etc., easily formed because personnel, equipment are inadequate,
Spare unit are got the raw materials ready, and not thorough, stationary point is unreasonable etc. to cause that field failure emergency repair time is long, repair personnel has to run around all the time wears him out, and power supply is slow
Can not recover, and then trigger CSAT reduction even to complain.
3. after the completion of repairing work at present, simply receipt finishes in 95598 systems, lacks the arrangement point to rushing to repair data
Analysis, it is impossible to offer urban district Nei Tai areas/circuit same period fault rate, 10KV are provided and repeat tripping operation circuit, the screening of abnormal electricity consumption cell, use
Complain the data of the direct relation customer power supply reliabilities such as analysis, the multiple outage analysis of switching station and quality in family, it is impossible to slap in time
The service condition of custom power is held, the normal reason such as failure, maintenance, transformation and upgrade is easily formed and is had a power failure, cause user's short time
Interior " frequently having a power failure ", has a strong impact on Consumer's Experience, causes unnecessary complaint.
4th, repairing stationary point only relies on summary of experience and administrative region to divide arrangement at present, lacks scientific basis, and compare
Fixation is inflexible, it is impossible to dynamically layouted according to failure amount trend, and troubleshooting efficiency is improved to greatest extent, and reduction is meaningless to hurry back and forth, greatly
It is big to reduce customer outage hours.
5th, current power distribution network repairing work further relates to low-voltage metering mechanism, electric energy matter in addition to distribution network failure repairing work order
The marketing metering work order such as amount, burning household electrical appliances, is related to multiple power specialties, possesses a large amount of basic unit of company proficiency data, but shortage has
The battalion of effect is with analysis and links up, it is impossible to make the understanding user power utilization situation that company is most fast, all hidden danger are eliminated in time, cause user
Because some small Marketings form discontented or infringement company's interest.
6th, be related to the administrative decision that power distribution network rushes to repair business artificially to be speculated according to factors such as historical experience, weather at present
Determine, lack the accurate foundation of science, and decision-making management is often more wide in range, it is impossible to specific works are refine to, landing is present
Deviation, first-aid repair efficiency is not high, and customer experience can not reach higher level.
The content of the invention
To solve the above problems, system is rushed to repair the invention provides a kind of high efficiency distribution network failure based on data analysis
And method, related data is rushed to repair by compiling power distribution network, the analysis platform based on data is built, realize power distribution network repairing essence
Benefitization, gridding, integrated management, for the work such as power distribution network equipment management, good service management, distribution network planning construction are provided
Basic data and effectively support.
The present invention is as follows to solve the technical scheme that above-mentioned technical problem is used：
Technical scheme one：
A kind of high efficiency distribution network failure repairing system based on data analysis, its it include for display fault density in real time,
The real-time analytic unit of power failure range, circuit and equipment weight overload situations and visual control recovery vehicle and process, is used for
The repairing analytic unit of analysis faulty equipment, failure cause and working strength, robbing for distribution network failure rule is grasped for analyzing
Predicting unit is repaiied, for analyzing customer complaint data, the good service administrative unit of offer internet electrical power services and being used for
Integrate the decision package that fault data provides O＆M decision-making assistant information.
Further, the real-time analytic unit includes fault density analysis module, power failure range distributional analysis module, robs
Repair a geolocation analysis module, repairing real-time monitoring module and low-voltage platform area display module.
Further, the repairing analytic unit includes that history trouble ticket statistical module, failure reason analysis module, circuit set
Standby weight overloading analysis module and stationary point working strength analysis module.
Further, the repairing predicting unit includes future malfunction amount prediction module, fault type forecast analysis module
And failure amount predicted grid analysis module.
Further, the good service administrative unit includes mobile client repairing service module, high frequency fault distribution
Analysis module, customer complaint analysis module and standardization repairing flow set up module.
Further, the aid decision unit includes the optimal stationary point analysis module in city, auxiliary project verification transformation module.
Technical scheme two：
A kind of high efficiency distribution network failure emergency repair method based on data analysis, comprises the following steps：
1) distribution network failure repairing geographical map is set up in real-time analytic unit, work order information, scheduled outage letter are reported in real-time typing for repairment
Breath, fault outage information data, power distribution network real time fail density is shown with heating power diagram form, is stopped in real time with the displaying of scope diagram form
Electric scope, positioning diagram form displaying recovery vehicle geographical position, overload circuit and Tai Qu again with the displaying of distribution map form；With reality
Place is reported in existing fault density and power failure range visualization, automatic locking for repairment, is merged automatically and is repeated to report work order for repairment, according to breakdown van
GPS intelligent lockings, efficient scheduling, and then science configuration repairing resource is reached, control breakdown repair is global, when reduction repairing is shown up
Target long；
2) 4G communication networks and remote terminal are relied in real-time analytic unit, realizes individual soldier, vehicle-mounted visual remote repairing prison
Control, makes repair personnel be interconnected with command centre；
3) in repairing analytic unit, overall process data are rushed to repair with graphic analyses, faulty equipment, failure cause and circuit and equipment
Weight overload situations；
4) in repairing predicting unit, based on SVM prediction algorithm and various dimensions trouble analysis system, analysis grasp is matched somebody with somebody
Electric network fault rule；
5) set up in good service administrative unit and complain analysis model and repairing user mobile phone client APP, analyze user over the years
Data are complained, visual presentation high frequency fault cell, Tai Qu, there is provided customers Internet electrical power services eradicate defect in advance；
6) optimal stationary point is rushed to repair in decision package modeling analysis city, auxiliary sets optimal static and dynamic stationary point；
7) above-mentioned analysis result is combined, analysis expert algorithm is based in decision package, the platform prominent to Frequent Troubles, user's reflection
Area and circuit, carry out project deposit or urgent project verification are administered according to urgency level.
Further, step 1）Realized by following steps：Based on ARCgis softwares, with standard electronic map as source,
Building in map are pinpointed, piecemeal and subregion, by single Lou Dong addresses " fixed point ", by Lou Dongtai areas ownership " piecemeal ",
By whole cell " subregion ", with reference to power distribution network shaft tower, circuit and station in PMS2.0 [equipment (assets) O＆M lean management system]
The geography information and line map of room kind equipment, and vehicle GPS position recovery vehicle coordinate in real time, form distribution network failure repairing
The data such as geographical map, real-time typing troublshooting work order information, scheduled outage information, fault outage information；On the one hand will report for repairment
Work order is attributed to " fixed point ", " piecemeal " is attributed to by the distribution of platform area, is attributed to " subregion " by cell distribution automatically by geographical distribution；The opposing party
Face is intended to and the circuit or equipment of fault outage are attributed to shaft tower, circuit and station kind equipment in geographical map.
The fault density is prepared by the following：Electric network information is combined with geographical position, by reporting for repairment
Thermodynamic chart（Isogram）, the density case of regional all kinds of failures is represented in different colors, realize that work order reports the visual of data for repairment
Change, thus lock automatically it is newest report work order address for repairment and merge same troublshooting work order, reduce repeat distribute leaflets, so as to significantly carry
First-aid repair efficiency high.
Power failure range figure is set up by the following method：Work order, failure and scheduled outage are reported for repairment with the untreated power failure for finishing
Based on information, build whole city's power failure range figure, thus comprehensively, intuitively, it is fine represent whole distract power distribution network power-off condition,
Realize the global control to rushing to repair work.
Recovery vehicle real-time tracking is accomplished by the following way：According to repairing vehicle GPS feedback, position in real time to geography
Figure, can allow manager to control each breakdown van real work situation, and according to work order principle is distributed nearby, money is rushed to repair in efficiently scheduling
Source, reduces repairing distance back and forth, reduces duration of showing up.
Further, the step 2）Realized by following steps：Rely on " individual soldier, vehicle-mounted visual remote repairing prison
Control " subsystem（National inventing patent has been obtained to accept）, by 4G network signals and remote terminal, realize to the real-time of repairing scene
Monitoring, real-time Transmission repairing live video, audio-frequency information, overall process supervises and guides repairing progress and service level.
Based on geography information figure, displaying directly perceived becomes the relation between platform and affiliated low-voltage customer, enhances low pressure management essence
Refinement.
Further, the work order statistical analysis is realized by the following method：According to work order data over the years, whole city's event is understood
The work order amount tendency chart of barrier situation, the repairing work order same period comparison diagram of formation Year/Month/Day, and the moon/week/day, to repairing work order
Progress carries out real-time tracking analysis, makes manager very clear to work order variation tendency and working condition, and intelligently form decision-making
Work order.
Comparison of classification is carried out according to work order data over the years, the reason for all work order failures, failure reason analysis are realized.
According to work order data over the years, comparison of classification is carried out to all equipment for reporting failure in work order for repairment, realize faulty equipment
Analysis.
Related weight overload messages in " integrated data analysis platform " are extracted, geo-location is carried out, and be subject to by different gray scales
Distinguish, and form corresponding decision-making work order, realize circuit and platform area weight overloading analysis.
Worksheet result is extracted, with each stationary point working strength of chart real-time exhibition, manager is understood each work in time
Person works' state, rational allocation personnel make management more lean, to realize that stationary point working strength is analyzed.
Further, the step 4）Realized by following steps：With history trouble ticket amount, weather（Including mean temperature, wind
Power, humidity）It is input quantity with load variations situation, precisely prediction short duration failure amount is exported by SVM prediction algorithm,
Again with the time distribution weight that puts into operation of cell in regional " grid ", work order amount in each grid is predicted；On the other hand by all kinds of
The cluster analysis of type failure and correlative factor, searches fault observer, predicts fault type, and the exhibition in the form of three-dimensional, X-Y scheme
It is existing.And then realization is allocated in advance to resources such as personnel, vehicle, equipment, auxiliary " gridding " is dynamically layouted, and improves repairing effect
Rate.
The work order amount prediction is by respectively to three kinds of different prediction algorithms：Gray scale prediction, neural network prediction, support to
Amount machine is predicted, with different |input parametes（Work order, weather, load etc.）, the prediction of short duration failure amount is carried out, analyze all kinds of algorithms
Strengths and weaknesses, finds out short duration failure amount and predicts that most accurate algorithm is SVM prediction algorithm.By precisely predicting second day
Failure amount, corresponding preparation is carried out in advance, prevent repairing and be short of hands, client's stand-by period long situation, together
The decision condition of Shi Zuowei Analysis of Policy Making modules.
Grid work order amount prediction is divided into 30 grids by the way that area under one's jurisdiction is given tacit consent to, and is put into operation with cell in each " grid "
Time is that weighted value calculates average weight（Probability）, and then work order premeasuring is carried out into weight distribution by grid, so that according to each
It is active fortune inspection that grid interior prediction situation carries out reasonable disposition repairing resource and becomes passive repairing, and work order amount is greatly reduced, and is improved
Power supply reliability.
The fault type prediction is represented by the excavation to repairing data over the years with three-dimensional, two-dimension analysis diagram form, can
With certain type fault under clearly obtaining certain temperature, certain load, in somewhere, a situation arises, and then clear grasp power distribution network event
Barrier pests occurrence rule, realizes Pre-estimation Geological failure and each fault type high incidence period, reaches the target of customer service activeization.
Further, the step 5）It is realized by the following method：By order, show up and single, single service set that disappears is in hand
Mobile terminal is held, is docked with PMS2.0 repairings management function；By excavation and arrangement to rushing to repair work order, extract what is frequently had a power failure
Cell, platform zone position and power failure number, are distinguish between, visual presentation from big to small on distribution network failure repairing geographical map, and
There is the high-risk user for complaining and being inclined in automatic early-warning；Analysis On The Concept of User complaining type and reason, set up standardization repairing system.
The hand-held mobile terminal is preferably mobile phone A PP, possesses following functions 1, client by the key repair module chains of APP mono-
Connect PMS2.0 systems, it is convenient, efficiently carry out troublshooting, widen and report channel for repairment；2nd, user can by APP service ends, according to
Report the position of work order number real-time query order recovery vehicle and the video data of work order progress and repairing process for repairment, and to repairing
Personnel service's mass carries out evaluation 3, for client's internal fault, APP user services end provides electrician or the construction for meeting qualification
Company, and corresponding star system is set up, facilitate user to select, and provide some simple fault solutions and safety utilization of electric power, section
About electricity consumption general knowledge, sets up repairing zone of discussion, user is grasped in time and is thought, provides the user most intimate service.
By excavation and arrangement to rushing to repair work order, cell, platform zone position and the power failure number frequently having a power failure are extracted, in distribution
Be distinguish between from big to small with different gray scales on net breakdown repair geographical map, visual displaying, and automatic early-warning exist it is high-risk
The user of tendency is complained, related frequently power failure defect is eradicated in advance, and then increased customer satisfaction degree, and aid in company to set up the project and administered
Related platform area equipment, forms administrative decision.
Complaint analysis is carried out to user, On The Concept of User complaining type and reason is analyzed, diagrammatic representation complains situation, build complete quick
Sense user and property contact archives, by 186 systems of marketing, according to power failure range to user's SMS notification, to sensitive users and
Property emphasis is linked up, and according to APP service end feedback informations, understands dredge user emotion in time, it is to avoid customer complaint.
According to state's net company standardization repairing flow, with reference to reality of work, full standardization repairing flow 43 is built, form mark
Quasi- repairing used time figure, unified standardization recovery vehicle configuration is directed and performed by oneself 13 kinds and standardizes repairing training video, is substantially improved and is robbed
Soft, Hard Power is repaiied, and according to the full-procedure tracing analysis of repairing work order, the repairing work that real time contrast superintends and checks against regulation in time
It is single.
Further, the step 6）It is realized by the following method：Build repairing stationary point and model is set, according to the regional four seasons
The distribution of period, historical failure density, traffic conditions, personnel's situation, working strength and responsible consumer sets optimal static stationary point, according to
Dynamic stationary point is set according to failure amount prediction in a week and special event, decision-making work order is automatically formed, science, high-efficient disposition repairing is realized
Resource, significantly shortens repairing and shows up duration；Managed and to data by analysis in real time, repairing analysis, failure predication, good service
Integration, instruct the project verification of power distribution network to transform, planning construction.
The expert algorithm is referred to according to the Heuristics analytical calculation Distribution Network Equipment exception of expert for expert algorithm
Data, teams and groups' O＆M and failure disposal matching and stationary point distribution situation.
The present invention has the following technical effect that：
The present invention rushes to repair related data by compiling power distribution network, builds the analysis platform based on data, and then accurate grasp
Distribution network failure rule, Pre-estimation Geological failure region occurred frequently, time period and failure cause, science configuration repairing resource is realized dynamic
State is layouted, and precisely analyzes all kinds of battalion with achievement data trend, forms efficiently accurately decision-making assistant information, and then aid in raising to rob
Repair the efficiency and specific aim of work, realize power distribution network repairing lean, gridding, integrated management, be power distribution network equipment management,
The work such as good service management, distribution network planning construction provide basic data and effectively support；
The present invention solves " kicking a ball " present in repairing management, repairing flow disunity, site safety control degree conscientiously
A series of problems, such as inconsistent, good service monitoring means are weak, external coordination rank management is loose；More deep mining analysis are matched somebody with somebody
Power network rushes to repair business with good service, raising power supply reliability, efficient administrative decision or even power distribution network future reasonable construction, planning
Contact, preferably service broad masses client, improve customer satisfaction, establish service brand image.
Brief description of the drawings
Accompanying drawing 1 is flow chart of the present invention；
Accompanying drawing 2 is fault density equation figure；
Accompanying drawing 3 is power failure range figure；
Accompanying drawing 4 is day part work order amount comparative analysis figure；
Accompanying drawing 5 is failure reason analysis figure；
Accompanying drawing 6 is faulty equipment type analysis figure；
Accompanying drawing 7 is circuit, platform area weight overloading analysis figure；
Accompanying drawing 8 is teams and groups' working strength analysis chart；
Accompanying drawing 9 is failure predication figure；
The relation factor three dimensional analysis figure of accompanying drawing 10.
Specific embodiment
Technical scheme is described in further detail below in conjunction with drawings and Examples.
The present embodiment is the breakdown repair situation in Shijiazhuang City one week.
As shown in figure 1, a kind of high efficiency distribution network failure repairing system based on data analysis, it is included for aobvious in real time
Show fault density, power failure range, circuit and equipment weight overload situations and visual control recovery vehicle and process real-time point
Analysis unit, the repairing analytic unit for analyzing faulty equipment, failure cause and working strength grasps power distribution network event for analyzing
Hinder the repairing predicting unit of rule, for the good service management list analyzed customer complaint data, provide internet electrical power services
Unit and the decision package for integrating fault data offer O＆M decision-making assistant information.
The real-time analytic unit includes fault density analysis module, power failure range distributional analysis module, recovery vehicle ground
Reason location analysis module, repairing real-time monitoring module and low-voltage platform area display module.
The repairing analytic unit includes that history trouble ticket statistical module, failure reason analysis module, line facility overload again
Analysis module and stationary point working strength analysis module.
The repairing predicting unit includes future malfunction amount prediction module, fault type forecast analysis module and failure amount
Predicted grid analysis module.
The good service administrative unit include mobile client repairing service module, high frequency fault distributional analysis module,
Customer complaint analysis module and standardization repairing flow set up module.
The aid decision unit includes the optimal stationary point analysis module in city, auxiliary project verification transformation module.
A kind of high efficiency distribution network failure emergency repair method based on data analysis, comprises the following steps：
1) distribution network failure repairing geographical map is set up in real-time analytic unit, work order information, scheduled outage letter are reported in real-time typing for repairment
Breath, fault outage information data, power distribution network real time fail density is shown with heating power diagram form, is stopped in real time with the displaying of scope diagram form
Electric scope, positioning diagram form displaying recovery vehicle geographical position, overload circuit and Tai Qu again with the displaying of distribution map form；With reality
Place is reported in existing fault density and power failure range visualization, automatic locking for repairment, is merged automatically and is repeated to report work order for repairment, according to breakdown van
GPS intelligent lockings, efficient scheduling, and then science configuration repairing resource is reached, control breakdown repair is global, when reduction repairing is shown up
Target long；
The gridding repairing stationary point is set up by the following method：With standard electronic map as source, building in map are carried out
Fixed point, piecemeal and subregion, by single Lou Dong addresses " fixed point ", by Lou Dongtai areas ownership " piecemeal ", by whole cell " subregion ",
Positioned in real time with reference to the geography information and line map of power distribution network shaft tower, circuit and station kind equipment in PMS2.0, and vehicle GPS
Recovery vehicle coordinate, formed distribution network failure repairing geographical map, real-time typing troublshooting work order information, scheduled outage information,
The data such as fault outage information；On the one hand work order will be reported for repairment to be attributed to " fixed point " automatically by geographical distribution, be attributed to by the distribution of platform area and " divide
Block ", by cell distribution be attributed to " subregion "；On the other hand it is intended to and the circuit or equipment of fault outage is attributed to bar in geographical map
Tower, circuit and station kind equipment.
As shown in Fig. 2 the fault density is obtained by setting up fault density figure：By electric network information and geographical position
It is combined, by reporting thermodynamic chart for repairment（Isogram）, the density case of regional all kinds of failures is represented in different colors, realize work order
Report the visualization of data for repairment, thus lock automatically it is newest report work order address for repairment and merge same troublshooting work order, reduce repeat
Distribute leaflets, so as to greatly improve first-aid repair efficiency.
As shown in figure 3, power failure range figure is set up by the following method：Work order, failure are reported for repairment with the untreated power failure for finishing
And based on scheduled outage information, build whole city's power failure range figure so that comprehensively, intuitively, fine represent whole distract distribution
Net power-off condition, realizes the global control to rushing to repair work.
2) 4G communication networks and remote terminal are relied in real-time analytic unit, realizes that individual soldier, vehicle-mounted visual remote rob
Monitoring is repaiied, repair personnel is interconnected with command centre；
Recovery vehicle real-time tracking is accomplished by the following way：According to repairing vehicle GPS feedback, positioning, can to geographical map in real time
To allow manager to control each breakdown van real work situation, according to work order principle is distributed nearby, efficiently scheduling repairing resource, subtracts
Repairing distance is reciprocal less, reduces duration of showing up.
Repairing implementation Process monitoring is accomplished by the following way：Individual soldier, vehicle-mounted visual remote repairing monitoring, by 4G
Network signal realizes the monitor in real time to repairing scene, and real-time Transmission repairing live video, audio-frequency information, overall process are supervised and guided
Repairing progress and service level.
Based on geography information figure, displaying directly perceived becomes the relation between platform and affiliated low-voltage customer, enhances low pressure management essence
Refinement.
3) in repairing analytic unit, overall process data are rushed to repair with graphic analyses, faulty equipment, failure cause and circuit and is set
Standby heavy overload situations；Individual soldier, vehicle-mounted visual remote repairing monitoring are realized, full standardization repairing system is built, " distribution is formed
Net standardization repairing operation lifting ", soft, Hard Power is rushed to repair in lifting, reaches lean repairing management, lifts the mesh of first-aid repair efficiency
Mark；
Graphic analyses include work order statistical analysis, failure reason analysis, faulty equipment analysis, circuit and platform area weight overloading analysis with
And the analysis of stationary point working strength.
As shown in figure 4, the work order statistical analysis is realized by the following method：According to work order data over the years, the whole city is understood
The work order amount tendency chart of failure situation, the repairing work order same period comparison diagram of formation Year/Month/Day, and the moon/week/day, to repairing work
Single progress carries out real-time tracking analysis, makes manager very clear to work order variation tendency and working condition, and intelligently formation is determined
Plan work order.
Comparison of classification is carried out as shown in figure 5, according to work order data over the years, the reason for all work order failures, failure is formed
Analyzing chart for reason, realizes failure reason analysis.
As shown in fig. 6, according to work order data over the years, comparison of classification, shape are carried out to all equipment for reporting failure in work order for repairment
Into faulty equipment type analysis figure, make faulty equipment type very clear from figure.
As shown in fig. 7, related weight overload messages in extracting " integrated data analysis platform ", carry out geo-location, and by not
It is distinguish between with gray scale, and forms corresponding decision-making work order, form circuit, platform area weight overloading analysis figure, realizes circuit and Tai Qu
Weight overloading analysis.
As shown in figure 8, extracting worksheet result, worked with circuit, platform area each stationary point of weight overloading analysis figure real-time exhibition
Intensity, makes manager understand each staff's working condition in time, and rational allocation personnel make management more lean, to realize staying
Point working strength analysis.
4) in repairing predicting unit, distribution network failure rule is grasped in analysis, based on SVM prediction algorithm；Realize super
Preceding anticipation failure amount, region occurred frequently, time period and fault type, actively prepare, and then reach customer service and actively change mesh ahead of time
Mark；
Described prediction algorithm includes the prediction of work order amount, the prediction of grid work order amount and fault type prediction.
As shown in figure 9, the work order amount prediction is by respectively to three kinds of different prediction algorithms：Gray scale prediction, neutral net
Prediction, SVM prediction, with different |input parametes（Work order, weather, load etc.）, carry out the prediction of short duration failure amount, shape
Into failure predication figure, the strengths and weaknesses of all kinds of algorithms is analyzed, find out short duration failure amount and predict most accurate algorithm for SVMs is pre-
Method of determining and calculating, by precisely predicting the failure amount of second day, carries out corresponding preparation in advance, prevents repairing staff not
Foot, client's stand-by period long situation, while as the decision condition of Analysis of Policy Making module.
Grid work order amount prediction is divided into 30 grids by the way that area under one's jurisdiction is given tacit consent to, and is put into operation with cell in each " grid "
Time is that weighted value calculates average weight（Probability）, and then work order premeasuring is carried out into weight distribution by grid, so that according to each
It is active fortune inspection that grid interior prediction situation carries out reasonable disposition repairing resource and becomes passive repairing, and work order amount is greatly reduced, and is improved
Power supply reliability.
The fault type prediction is represented, shape by the excavation to repairing data over the years with three-dimensional, two-dimension analysis diagram form
Into relation factor three dimensional analysis figure as shown in Figure 10, certain type event under certain temperature, certain load can be clearly obtained from figure
A situation arises in somewhere for barrier, and then clearly grasps distribution network failure pests occurrence rule, realizes Pre-estimation Geological failure and each event
Barrier type high incidence period, reaches the target of customer service activeization.
5) set up in good service administrative unit and complain analysis model and repairing user mobile phone client APP, analysis is over the years
Customer complaint data, visual presentation high frequency fault cell, Tai Qu, there is provided customers Internet electrical power services, eradicate defect in advance；
Frequently power failure is avoided, relies on mobile client to realize that the key of client one is reported for repairment, tracks recovery vehicle, real time inspection repairing process video
And the key of user's property right failure one is reported for repairment, the most intimate target of service user is reached.
Mainly it is realized by the following method：By order, show up and single, single service set that disappears is in hand-held mobile terminal, its with
PMS2.0 repairing management function docking；By excavation and arrangement to rushing to repair work order, cell, the platform zone position frequently having a power failure are extracted
And power failure number, it is distinguish between from big to small on distribution network failure repairing geographical map, visual presentation, and there is height in automatic early-warning
Danger complains the user of tendency；Analysis On The Concept of User complaining type and reason, set up standardization repairing system.
The hand-held mobile terminal of the present embodiment is Hebei province " palm electric power " APP, develops " mobile repairing service management end ",
It possesses following functions 1, client and links PMS2.0 systems by the key repair modules of APP mono-, convenient, efficiently carry out failure report
Repair, widen and report channel for repairment；2nd, user can be by APP service ends, according to the position for reporting work order number real-time query order recovery vehicle for repairment
Put and work order progress and repairing process video data, and evaluation 3 is carried out to repair personnel's service quality, in client
Portion's failure, APP user services end provides electrician or the construction company for meeting qualification, and sets up corresponding star system, facilitates user
Selection, and some simple fault solutions and safety utilization of electric power, using electricity wisely general knowledge are provided, repairing zone of discussion is set up, in time the palm
Hold user to be thought, provide the user most intimate service.
By excavation and arrangement to rushing to repair work order, cell, platform zone position and the power failure number frequently having a power failure are extracted, in distribution
Be distinguish between from big to small with different gray scales on net breakdown repair geographical map, visual displaying, and automatic early-warning exist it is high-risk
The user of tendency is complained, related frequently power failure defect is eradicated in advance, and then increased customer satisfaction degree, and aid in company to set up the project and administered
Related platform area equipment, forms administrative decision.
Complaint analysis is carried out to user, On The Concept of User complaining type and reason is analyzed, diagrammatic representation complains situation, build complete quick
Sense user and property contact archives, by 186 systems of marketing, according to power failure range to user's SMS notification, to sensitive users and
Property emphasis is linked up, and according to APP service end feedback informations, understands dredge user emotion in time, it is to avoid customer complaint.
According to state's net company standardization repairing flow, with reference to reality of work, full standardization repairing flow 43 is built, form mark
Quasi- repairing used time figure, unified standardization recovery vehicle configuration is directed and performed by oneself 13 kinds and standardizes repairing training video, is substantially improved and is robbed
Soft, Hard Power is repaiied, and according to the full-procedure tracing analysis of repairing work order, the repairing work that real time contrast superintends and checks against regulation in time
It is single.The function has been obtained " Hebei Electric Power Corporation's outstanding worker's innovation achievement first prize in 2014 ".
6) optimal stationary point is rushed to repair in decision package modeling analysis city, auxiliary sets optimal static and dynamic stationary point；
Further, the step 6）It is realized by the following method：Build repairing stationary point and model is set, during according to the regional four seasons
Section, historical failure density, traffic conditions, personnel's situation, working strength and responsible consumer distribution set optimal static stationary point, foundation
Failure amount prediction in one week and special event set dynamic stationary point, automatically form decision-making work order, realize science, high-efficient disposition repairing money
Source, significantly shortens repairing and shows up duration；Managed and to data by analysis in real time, repairing analysis, failure predication, good service
Integrate, instruct the project verification of power distribution network to transform, planning construction.
7) above-mentioned analysis result is combined, analysis expert algorithm is based in decision package, Frequent Troubles, user's reflection are protruded
Platform area and circuit, project deposit is carried out according to urgency level or urgent project verification is administered, represent in pending work order form, one
One decision-making single treatment of work order, the frequent power failure cell of project verification transformation realizes intelligent repairing, improves corporate investment's precision.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or uses the present invention.
Various modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The scope most wide for causing.
Claims (10)
1. a kind of high efficiency distribution network failure based on data analysis rushes to repair system, it is characterised in that it is included for aobvious in real time
Show fault density, power failure range, circuit and equipment weight overload situations and visual control recovery vehicle and process real-time point
Analysis unit, the repairing analytic unit for analyzing faulty equipment, failure cause and working strength grasps power distribution network event for analyzing
Hinder the repairing predicting unit of rule, for the good service management list analyzed customer complaint data, provide internet electrical power services
Unit and the decision package for integrating fault data offer O＆M decision-making assistant information.
2. a kind of high efficiency distribution network failure based on data analysis according to claim 1 rushes to repair system, and its feature exists
In the real-time analytic unit includes fault density analysis module, power failure range distributional analysis module, recovery vehicle geographical position
Analysis module, repairing real-time monitoring module and low-voltage platform area display module.
3. a kind of high efficiency distribution network failure based on data analysis according to claim 1 rushes to repair system, and its feature exists
In the repairing analytic unit includes history trouble ticket statistical module, failure reason analysis module, line facility weight overloading analysis mould
Block and stationary point working strength analysis module.
4. a kind of high efficiency distribution network failure based on data analysis according to claim 1 rushes to repair system, and its feature exists
In the repairing predicting unit includes the prediction of future malfunction amount prediction module, fault type forecast analysis module and failure amount
Gridding analysis module.
5. a kind of high efficiency distribution network failure based on data analysis according to claim 1 rushes to repair system, and its feature exists
In the good service administrative unit includes that mobile client repairing service module, high frequency fault distributional analysis module, user throw
Tell that analysis module and standardization repairing flow set up module.
6. a kind of high efficiency distribution network failure based on data analysis according to claim 1 rushes to repair system, and its feature exists
In the aid decision unit includes the optimal stationary point analysis module in city, auxiliary project verification transformation module.
7. a kind of high efficiency distribution network failure emergency repair method based on data analysis as claimed in claim 1, it is characterised in that
It comprises the following steps：
Real-time analytic unit set up distribution network failure repairing geographical map, real-time typing report for repairment work order information, scheduled outage information,
Fault outage information data, power distribution network real time fail density is shown with heating power diagram form, is had a power failure in real time with the displaying of scope diagram form
Scope, positioning diagram form displaying recovery vehicle geographical position, overload circuit and Tai Qu again with the displaying of distribution map form；
4G communication networks and remote terminal are relied in real-time analytic unit, individual soldier, vehicle-mounted visual remote repairing monitoring is realized,
Repair personnel is set to be interconnected with command centre；
In repairing analytic unit, the weight of overall process data, faulty equipment, failure cause and circuit and equipment is rushed to repair with graphic analyses
Overload situations；
In repairing predicting unit, based on SVM prediction algorithm and various dimensions trouble analysis system, distribution is grasped in analysis
Net fault observer；
Set up in good service administrative unit and complain analysis model and repairing user mobile phone client APP, analyzed user over the years and throw
Data are told, visual presentation high frequency fault cell, Tai Qu, there is provided customers Internet electrical power services eradicate defect in advance；
Optimal stationary point is rushed to repair in decision package modeling analysis city, auxiliary sets optimal static and dynamic stationary point；
With reference to above-mentioned analysis result, analysis expert algorithm is based in decision package, the platform area prominent to Frequent Troubles, user's reflection
And circuit, project deposit is carried out according to urgency level or urgent project verification is administered.
8. a kind of high efficiency distribution network failure emergency repair method based on data analysis described in claim 7,
Characterized in that, the step 1）Realized by following steps：Based on ARCgis softwares, with standard electronic map as blue
This, building in map is pinpointed, piecemeal and subregion, with reference to power distribution network shaft tower, circuit and station kind equipment in PMS2.0
Geography information and line map, and vehicle GPS position recovery vehicle coordinate in real time, form distribution network failure repairing geographical map, real
When typing troublshooting work order information, scheduled outage information, fault outage information data.
9. a kind of high efficiency distribution network failure emergency repair method based on data analysis according to claim 7, its feature exists
In the step 4）Realized by following steps：With history trouble ticket amount, weather and load variations situation as input quantity, by branch
Vector machine prediction algorithm output precisely prediction short duration failure amount is held, then with the time distribution power that puts into operation of cell in regional " grid "
Weight, predicts work order amount in each grid；On the other hand by the cluster analysis to all types of failures and correlative factor, failure rule are searched
Rule, predicts fault type, and represent in the form of three-dimensional, X-Y scheme.
10. a kind of high efficiency distribution network failure emergency repair method based on data analysis according to claim 7, its feature exists
In the step 6）It is realized by the following method：Build repairing stationary point and model is set, according to regional period in the four seasons, historical failure
The distribution of density, traffic conditions, personnel's situation, working strength and responsible consumer set optimal static stationary point, according to one week failure amount
Prediction and special event set dynamic stationary point, automatically form decision-making work order, realize science, high-efficient disposition repairing resource, significantly contract
It is short to rush to repair duration of showing up；Managed by analysis in real time, repairing analysis, failure predication, good service and the integration to data, instructed
The project verification transformation of power distribution network, planning construction.
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