CN110490762A - A kind of user based on big data analysis reports the automatic analysis method of failure for repairment - Google Patents
A kind of user based on big data analysis reports the automatic analysis method of failure for repairment Download PDFInfo
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- CN110490762A CN110490762A CN201910745993.8A CN201910745993A CN110490762A CN 110490762 A CN110490762 A CN 110490762A CN 201910745993 A CN201910745993 A CN 201910745993A CN 110490762 A CN110490762 A CN 110490762A
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a kind of users based on big data analysis to report the automatic analysis method of failure for repairment, based on power consumer troublshooting work order, the ammeter of fusion user and distribution transforming calls measured data, two distant real time datas of distribution line together, has a power failure and report and submit the distributions operation datas such as information, demand charge information and service management information, utilize power grid topological relation and big data analysis, auxiliary studies and judges the information such as fault outage type, power failure coverage, fault section, to promote fault location speed, breakdown repair efficiency is improved.The auxiliary tone operation of depth integration of the present invention battalion and management data, with carry out user report for repairment failure precisely study and judge and fault section location to promote fault location speed improves breakdown repair efficiency, precisely studies and judges fault type and fault section.
Description
[technical field]
The invention belongs to electrical engineering technical field, it is related to a kind of user based on big data analysis and reports failure for repairment grinding automatically
Sentence method.
[background technique]
Since distribution supervision equipment level of coverage is inadequate, battalion's auxiliary tone data fusion is insufficient, it is difficult to grasp distribution operation comprehensively
Situation influences distribution net equipment failure and stoppage in transit etc. the harsh conditions powered to power consumer, it is difficult to realizing at the first time,
It is reported for repairment mainly by user and passively to carry out corresponding repairing work.Since distribution operating condition, current failure can not be grasped comprehensively
It studies and judges and positions work and rely primarily on repair personnel scene investigation, when fault condition is complex, malfunction elimination is taken a long time,
The development of repairing work will greatly be influenced, limit the promotion of first-aid repair efficiency.This system matches adjusting data by fusion battalion, provides one
Kind reports the automatic analysis method of failure for repairment based on big data analysis, can be accurately positioned fault section, to promote fault location speed
Degree improves breakdown repair efficiency.
[summary of the invention]
It is an object of the invention to the auxiliary tone operation of depth integration battalion and management data, provide a kind of based on big data analysis
User reports the automatic analysis method of failure for repairment, precisely studying and judging and fault section location for failure is reported for repairment to carry out user, to be promoted
Fault location speed improves breakdown repair efficiency.
In order to achieve the above objectives, the present invention is achieved by the following scheme:
A kind of user based on big data analysis reports the automatic analysis method of failure for repairment, comprising the following steps:
Step 1: after receiving power consumer troublshooting work order, according to power grid static state and dynamic data, identifying and lock this
Power consumer；
Step 2: obtaining the electricity charge information of the power consumer, judge whether user is that arrearage has a power failure, if so, feedback arrearage
Outage information, it is no to then follow the steps 3；
Step 3: according to power grid topological relation, obtaining the distribution transformer of the power consumer upstream, report and submit letter in conjunction with power failure
Breath judges the distribution transforming whether in known scope of power outage, no to then follow the steps 5 if so, then follow the steps 4；
Step 4: according to power failure report and submit information judge power failure type for scheduled outage, temporary interruption and supplying more than the planned quota ration the power supply etc. it is non-therefore
Barrier has a power failure or fault outage；If fault outage, it is whether related in way work order to study and judge the failure, if having in way work order,
Then merge work order；
Step 5: it calls the Source of Gateway Meter for surveying the distribution transforming together, judges whether the distribution transforming is charged, if distribution transforming power loss, then follow the steps 6, it is no
Then follow the steps 7；
Step 6: according to power grid topological relation, obtaining the basic routing line and branched line of the distribution transforming upstream；
Step 7: range shorter to power consumer is studied and judged.
A further improvement of the present invention lies in that:
In step 1, power grid static data includes that grid equipment account in PMS2.0 and its incidence relation, power grid GIS are flat
Equipment topological connection relation in platform, the equipment files in sales service application system, files on each of customers and arrearage information.
Files on each of customers include in every family number, station address and user contact details.
In step 1, power grid dynamic data include switch operating status in power distribution automation and dispatch automated system and
The user for stopping powering on event and calling together in measurement information and customer service system in protection act information, power information acquisition system reports work for repairment
Single information.
The specific method is as follows for the basic routing line and branched line that step 6 obtains the distribution transforming upstream:
It 6-1) calls the switch operation data for surveying basic routing line together, judges whether backbone charges；If basic routing line power loss, just
Step is determined as basic routing line failure；If backbone charges, calls the switch operation data for surveying branched line together, judge that branched line is
No electrification；
If 6-2) branched line power loss, preliminary judgement is branched line failure；If separated time route charges, preliminary judgement
For distribution transforming failure.
The method that step 7 power consumer is studied and judged is as follows:
It 7-1) calls survey electric supply meter together, judges whether the power consumer ammeter charges, if ammeter charges, preliminary judgement is should
Power consumer internal fault；If ammeter power loss, range extends to other users under access point and is studied and judged；
It 7-2) calls together and surveys other users ammeter under access point, judge whether other users ammeter charges, if other users ammeter
Electrification, then be access point to user malfunction；If other users ammeter power loss, for fading to access point failure.
Compared with prior art, the invention has the following advantages:
The present invention is based on power consumer troublshooting work order, the ammeter for merging user and distribution transforming calls measured data, distribution line together
Two distant real time datas, have a power failure report and submit the distributions operation datas such as information, demand charge information and service management information, utilize power grid
Topological relation and big data analysis, auxiliary studies and judges the information such as fault outage type, power failure coverage, fault section, to mention
Fault location speed is risen, breakdown repair efficiency is improved.Depth integration battalion auxiliary tone operation of the present invention and management data, to carry out user
It reports precisely studying and judging and fault section location for failure for repairment, to promote fault location speed, improves breakdown repair efficiency, precisely grind
Sentence fault type and fault section.
[Detailed description of the invention]
Fig. 1 is flow chart of the invention.
[specific embodiment]
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, the embodiment being not all of, and it is not intended to limit range disclosed by the invention.In addition, with
In lower explanation, descriptions of well-known structures and technologies are omitted, obscures concept disclosed by the invention to avoid unnecessary.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment should fall within the scope of the present invention.
The various structural schematic diagrams for disclosing embodiment according to the present invention are shown in the attached drawings.These figures are not in proportion
It draws, wherein some details are magnified for the purpose of clear expression, and some details may be omitted.As shown in the figure
The shape in various regions, layer and relative size, the positional relationship between them out is merely exemplary, in practice may be due to
Manufacturing tolerance or technical restriction and be deviated, and those skilled in the art may be additionally designed as required have not
Similar shape, size, the regions/layers of relative position.
In context disclosed by the invention, when one layer/element is referred to as located at another layer/element "upper", the layer/element
Can may exist intermediate layer/element on another layer/element or between them.In addition, if in a kind of court
One layer/element is located at another layer/element "upper" in, then when turn towards when, the layer/element can be located at another layer/
Element "lower".
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
The invention will be described in further detail with reference to the accompanying drawing:
Referring to Fig. 1, the present invention is based on the users of big data analysis to report the automatic analysis method of failure and system for repairment, including following
Step:
Step 1: after receiving power consumer troublshooting work order, according to in every family number, station address, user contact details
Etc. repairing informations, identify and lock the power consumer.
Step 2: obtaining the electricity charge information of the power consumer, judge whether user is that arrearage has a power failure.
Step 3: if the non-arrearage of user has a power failure, according to power grid topological relation, the distribution for obtaining the power consumer upstream becomes
Whether depressor reports and submits information in conjunction with power failure, judge the distribution transforming in known scope of power outage.
Step 4: if the distribution transforming of user upstream reports and submits information to judge power failure type for meter in known scope of power outage, according to power failure
Draw have a power failure, temporary interruption and supplying more than the planned quota is rationed the power supply etc., and non-faulting have a power failure or fault outage.If fault outage, need to further study and judge
Whether the failure is related in way work order, if having in way work order, it is proposed that merges work order.
Step 5: if the Source of Gateway Meter for surveying the distribution transforming not in known scope of power outage, is called in the distribution transforming of user upstream together, judging the distribution transforming
Whether charge.
Step 6: if distribution transforming power loss, according to power grid topological relation, obtaining the basic routing line and branch line of the distribution transforming upstream
Road.
1) it calls the switch operation data for surveying basic routing line together, judges whether backbone charges.If basic routing line power loss, tentatively
It is determined as basic routing line failure；If backbone charges, further calls the switch operation data for surveying branched line together, judge branch line
Whether road is charged.
If 2) branched line power loss, preliminary judgement is branched line failure；If separated time route charges, preliminary judgement is
Distribution transforming failure.
Step 7: if distribution transforming is charged, range shorter to user is further studied and judged.
1) it calls survey electric supply meter together, judges whether the power consumer ammeter charges, if ammeter charges, preliminary judgement is the electricity
Power user's internal fault；If ammeter power loss, range extends to other users under access point and further studies and judges.
2) it calls together and surveys other users ammeter under access point, judge whether other users ammeter charges, if other users ammeter band
Electricity is then access point to user malfunction；If other users ammeter power loss, for fading to access point failure.
Data collection layer of the present invention mainly acquires all kinds of power grids static state and dynamic data, supports studying and judging automatically for failure.Its
Middle static data includes the equipment Topology connection in grid equipment account and its incidence relation, power network GIS platform in PMS2.0
Relationship, the equipment files in sales service application system, files on each of customers and arrearage information；Dynamic data include power distribution automation and
In switch operating status and protection act information, power information acquisition system in dispatch automated system stop powering on event and
Call measurement information together, the user in 95598 customer service systems reports work order information for repairment.
Data convergence layer main support acquires the processing storage of data, by data according to type deposit analysis domain and in real time
Domain, and the duplication check of Develop Data, the preparatory processings such as breakpoint transmission.
Power-off event analysis layer mainly realizes two big functions, first is that building power grid asset model, utilizes big data analysis skill
Art, the topological model of building equipment grid equipment to Electricity customers；Second is that constructing power-off event mould using dynamic electric network data
Type is studied and judged for carrying out failure.
The present invention can be realized following functions:
1) failure is studied and judged, and judges fault type, including arrearage power failure, non-faulting have a power failure, three kinds of fault outage；Judge failure
Section, including basic routing line failure, branched line failure, platform area failure, platform area to accessing point failure, access point to user therefore
Barrier, user's internal fault.
2) work order merges, and is analyzed by Auto-matching, realizes homologous work order prompt, and auxiliary work order merges.
The above content is merely illustrative of the invention's technical idea, and this does not limit the scope of protection of the present invention, all to press
According to technical idea proposed by the present invention, any changes made on the basis of the technical scheme each falls within claims of the present invention
Protection scope within.
Claims (6)
1. a kind of user based on big data analysis reports the automatic analysis method of failure for repairment, which comprises the following steps:
Step 1: after receiving power consumer troublshooting work order, according to power grid static state and dynamic data, identifying and lock the electric power
User；
Step 2: obtaining the electricity charge information of the power consumer, judge whether user is that arrearage has a power failure, if so, feedback arrearage has a power failure
Information, it is no to then follow the steps 3；
Step 3: according to power grid topological relation, obtaining the distribution transformer of the power consumer upstream, report and submit information in conjunction with power failure, sentence
The distribution transforming break whether in known scope of power outage, if so, 4 are thened follow the steps, it is no to then follow the steps 5；
Step 4: reporting and submitting information to judge that power failure type is stopped for scheduled outage, temporary interruption and the supplying more than the planned quota non-faulting such as ration the power supply according to power failure
Electricity or fault outage；Whether if fault outage, it is related in way work order to study and judge the failure, if having in way work order, closes
And work order；
Step 5: calling the Source of Gateway Meter for surveying the distribution transforming together, judge whether the distribution transforming is charged, if distribution transforming power loss, thens follow the steps 6, otherwise hold
Row step 7；
Step 6: according to power grid topological relation, obtaining the basic routing line and branched line of the distribution transforming upstream；
Step 7: range shorter to power consumer is studied and judged.
2. the user according to claim 1 based on big data analysis reports the automatic analysis method of failure for repairment, which is characterized in that
In step 1, power grid static data includes setting in grid equipment account and its incidence relation, power network GIS platform in PMS2.0
Standby topological connection relation, the equipment files in sales service application system, files on each of customers and arrearage information.
3. the user according to claim 2 based on big data analysis reports the automatic analysis method of failure for repairment, which is characterized in that
Files on each of customers include in every family number, station address and user contact details.
4. the user according to claim 1 or 2 or 3 based on big data analysis reports the automatic analysis method of failure for repairment, special
Sign is, in step 1, power grid dynamic data includes switch operating status and guarantor in power distribution automation and dispatch automated system
The user for stopping powering on event and calling together in measurement information and customer service system in shield action message, power information acquisition system reports work order for repairment
Information.
5. the user according to claim 1 based on big data analysis reports the automatic analysis method of failure for repairment, which is characterized in that
The specific method is as follows for the basic routing line and branched line that step 6 obtains the distribution transforming upstream:
It 6-1) calls the switch operation data for surveying basic routing line together, judges whether backbone charges；If basic routing line power loss, tentatively sentences
It is set to basic routing line failure；If backbone charge, call together survey branched line switch operation data, judge branched line whether band
Electricity；
If 6-2) branched line power loss, preliminary judgement is branched line failure；If separated time route charge, preliminary judgement be with
Accident barrier.
6. the user according to claim 1 based on big data analysis reports the automatic analysis method of failure for repairment, which is characterized in that
The method that step 7 power consumer is studied and judged is as follows:
It 7-1) calls survey electric supply meter together, judges whether the power consumer ammeter charges, if ammeter charges, preliminary judgement is the electric power
User's internal fault；If ammeter power loss, range extends to other users under access point and is studied and judged；
It 7-2) calls together and surveys other users ammeter under access point, judge whether other users ammeter charges, if other users ammeter charges,
It is then access point to user malfunction；If other users ammeter power loss, for fading to access point failure.
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Cited By (5)
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| CN111934424A (en) * | 2020-06-23 | 2020-11-13 | 国网浙江平湖市供电有限公司 | Intelligent fault studying and judging system and method for power distribution network |
| CN112019691A (en) * | 2020-07-08 | 2020-12-01 | 国网浙江杭州市富阳区供电有限公司 | Intelligent reply method for power consultation |
| CN112308249A (en) * | 2020-11-04 | 2021-02-02 | 海南电网有限责任公司信息通信分公司 | Construction system of power failure pool |
| CN113032448A (en) * | 2020-12-30 | 2021-06-25 | 广东电网有限责任公司电力科学研究院 | Power grid fault power failure range checking method |
| CN113659723A (en) * | 2021-08-19 | 2021-11-16 | 国网江苏省电力有限公司泰州供电分公司 | Intelligent user fault studying and judging system and implementation method |
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| CN111934424A (en) * | 2020-06-23 | 2020-11-13 | 国网浙江平湖市供电有限公司 | Intelligent fault studying and judging system and method for power distribution network |
| CN112019691A (en) * | 2020-07-08 | 2020-12-01 | 国网浙江杭州市富阳区供电有限公司 | Intelligent reply method for power consultation |
| CN112308249A (en) * | 2020-11-04 | 2021-02-02 | 海南电网有限责任公司信息通信分公司 | Construction system of power failure pool |
| CN113032448A (en) * | 2020-12-30 | 2021-06-25 | 广东电网有限责任公司电力科学研究院 | Power grid fault power failure range checking method |
| CN113659723A (en) * | 2021-08-19 | 2021-11-16 | 国网江苏省电力有限公司泰州供电分公司 | Intelligent user fault studying and judging system and implementation method |
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