CN103714124A - Ultra-large-scale low-voltage data processing method - Google Patents
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Abstract
The invention aims at overcoming the prejudice of the prior art, and designs a scientific ultra-large-scale low-voltage data processing method, wherein the existing network architecture is utilized, thus data storage and retrieval are much facilitated, and abnormal data therein can be analysed in time; the missing of data is also avoided during the whole system running process. The technical scheme adopted by the ultra-large-scale low-voltage data processing method disclosed by the invention is as follows: the ultra-large-scale low-voltage data processing method comprises the steps of storing the whole database in a single file on a host machine, creating a cache for low-voltage grid data in a memory according to the belonged running unit of operating personnel, forming the subset of the whole low-voltage grid, and the like. The ultra-large-scale low-voltage data processing method disclosed by the invention belongs to an improvement on the traditional technology; with the adoption of the ultra-large-scale low-voltage data processing method disclosed by the invention, the minimum calculation unit can be effectively set; due to the manner of setting a spatial grid index and combining with an R-tree index, the efficiency of indexing is greatly increased and the calculation amount is reduced.
Description
Technical field
The present invention relates to a kind of data processing method, relate in particular to a kind of disposal route of low voltage electric network data.
Technical background
According to Utilities Electric Co.'s general plan, requirement is extended to low voltage electric network from substation transformer on the basis of existing distribution generalized information system, on unified geographical information platform, set up the full voltage of complete " transformer station-10kV circuit-distribution transforming-low-voltage circuit-client ", integrated electric network model is joined by battalion, between electric network models at different levels, set up the topological connection relation of unified standard, and take hierarchical analysis, the mode that layering shows, reach full voltage grade electric network model complete, data are unified, clear display, the construction object of simple operation, for following sales service, the in-depth development of distribution business lays the foundation.
Low voltage electric network is the end of whole defeated supply network, and direct and vast electricity consumption client is connected, and possesses the feature that data volume is huge, concurrent user is many.Take Zhejiang as example, approximately 2.2 ten thousand of the whole province's medium voltage network basic routing lines, always be about 210,000 kilometers, approximately 2,000,000, shaft tower, approximately 500,000 of distribution transformings, and the scale of low voltage electric network is at least than the many orders of magnitude of medium voltage network, so ultra-large electric network data, to be used by a large amount of sales service personnel and distribution business personnel simultaneously, low pressure data Treatment Design has been proposed to very high requirement.
A kind of data processing and fusion method of extensive transport information are disclosed in the data processing of the extensive transport information of patent of invention < < that is CN102881162A for large data processing publication number and fusion method > > mono-literary composition, belong to transport information real-time processing technique, comprise: the multi-source traffic data collecting according to test carriage and each sensor obtains the normal data of true value system, and the dynamic assignment method of definite parameter; Abnormal data in the data acquisition that rejecting sensor collects, and carry out the compensation of historical data; To completing the multi-source traffic data real-time graded information fusion of compensation data.This invention obtains the correct initial assignment parameter of various acquisition modes by setting up true value system, the data that truly collect are carried out to abnormity removing, missing data rationally fills up to guarantee accuracy and the integrality of data according to historical data, the data that different classes of acquisition mode is obtained carry out classification step by step fusion treatment to guarantee the reliability of data, the rapidity of fusion process, and in fusion process, consider the impact that traffic events, traffic control, occupation of land construction, traffic hazard bring to data.
Although this document has been given us an inspiration for large data processing method, in practical work process, field of traffic and power domain still have larger difference after all, and the event of facing is also different, be therefore difficult to the directly such data processing method of employing.
18 disclosed < < of the phase low and medium voltage distribution network uniform data collections in 2012 of < < Automation of Electric Systems > > magazine and Design of Monitoring and Control System have also been introduced the present situation of low and medium voltage distribution network data acquisition and monitoring system and the problem of existence with realizing in > > mono-literary composition.The actual demand promoting in conjunction with low and medium voltage distribution network operation and management level, has proposed low and medium voltage distribution network uniform data and has gathered and supervisory system structural design scheme; According to definite system thought, provided the implementation of 5 functions such as system intelligence data acquisition, data communication and transmission system, real time data processing, user power utilization information management and monitoring, the management of intelligent power distribution platform district and monitoring.This paper proposed security of system design and with the interface scheme of existed system.But the details for data processing in this article is not described, those skilled in the art still cannot learn the data of dealing with how quickly and efficiently the order of magnitude like this.
Summary of the invention
The object of the invention is to overcome the prejudice of prior art, design the ultra-large low pressure data disposal route of a set of science, utilize existing network architecture, the storage of the data of being more convenient for and retrieval, and can analyze in time abnormal data wherein.In whole system operational process, also avoid the omission of data.
The ultra-large low pressure data disposal route of the present invention solves the technical scheme that its technical matters adopts:
Ultra-large low pressure data disposal route, be built up in service end and concentrate deployment, client is disperseed in the power grid GIS framework of application, adopt ArcSDE as the service end data channel between GIS client and relational database, using SQLite as local cache database, the electric network data of non-editing mode is downloaded to this locality, in follow-up maintenance process, only download incremental data, comprise step 1: described whole database is stored in a single file on host's main frame, in internal memory, create the buffer memory of low voltage electric network data, the buffer memory of electric network data is set up by operating personnel's affiliated run unit, form the subset of whole low voltage electric network,
Step 2: by minimum unit amount data stuffing in the buffer memory of each electric network data;
Step 3: in the buffer memory of electric network data, grid spatial index is set, is about to the graticule mesh that lines are divided equal and opposite in direction or do not waited anyhow for region, record the spatial entities that each graticule mesh comprises, and adopt 4 forked type R to set index in single grid;
Step 4: the data of having logined are carried out to accidental validation, abnormal data is proposed to alarm.
Preferably, to take the branch office of county telephone central office or city office be base unit to run unit under the operating personnel described in step 1, and each base unit is divided between an independent buffer area.Because all operations all completes in internal memory, so its operational efficiency is very high, and management is also very convenient.
Preferably, when data load and safeguard, its minimum unit is set as low-voltage platform area.By the separated time partition management to low pressure data, set its minimax administrative unit, ultra-large low pressure data can be divided into the data cell of suitable size, satisfied application needs one by one, can improve greatly data query and editor's efficiency.
Preferably, in described step 3, the coordinate of lines anyhow of net region adopts actual region physics longitude and latitude coordinate.Being designed with is like this beneficial to the coupling of unified and actual area.
The concrete grammar that grid spatial index is set in described step 3 is: 1, select coordinate points; 2, buffer zone is set; 3, dissolving space geographical entity adjacent, that specified attribute is identical is an entity; 4, B-spline curves carry out matching.Wherein buffer zone refers to the banded regions of the certain width of setting up at it in order to indicate certain geographical entity to the propinquity of its surrounding environment or degree of impact around.Set up buffer zone, be to use a kind of spatial analysis very frequently in GIS, is a kind of important method that spacial influence is measured.Dissolving space is adjacent, by merging, can greatly reduce the entity number with identical characteristics, in 100*100 graticule mesh lattice, even can reduce to 10 figure places with interior data volume.And foursquare visuality is normally very stiff in grid, discrete point in mesh surfaces, actual is continuous variations of fanning out from point to area, and conventionally can adopt continuous curve to carry out process of fitting treatment, at these employing B-spline curves, carries out matching.
Preferably, the method of in described step 4, the data of having logined being carried out to accidental validation is: first according to net type spatial index, create out that lines coordinate is interval anyhow, by a coordinate of the random generation of tandom number generator, first judge that this coordinate is whether in interval, one's respective area, if not abandoning this data, continue to generate next coordinate; If these data, in coordinate interval, one's respective area, read data in the coordinate figure of its adjacent 8 positions by this numerical value, estimate the data of this value, finally estimated value and actual coordinate value are carried out to verification, judge that whether this coordinate position data is normal.
Preferably, be also included in editing process locking between place editor's buffer area, avoid other people to operate simultaneously.The dynamic lock-in techniques of equipment is not locking when creating engineering activity, but dynamically locks in editing process, avoiding, under the prerequisite of editor's conflict, can guaranteeing minimum lock-in range, allows more people can concurrently carry out work like this.
The invention belongs to a kind of improvement to conventional art, by ultra-large low pressure data disposal route of the present invention, minimum calculation unit can be effectively set, by grid spatial index being set in conjunction with the mode of R tree index, greatly improved the efficiency of index, reduced calculated amount.
Embodiment
Ultra-large low pressure data disposal route, is built up in service end and concentrates deployment, client to disperse in the power grid GIS framework of application.Geographic Information System (GIS, Geographic Information System) be a comprehensive branch of learning, of science and cartography and remote sensing and computer science in combination, be applied in widely different fields, for inputting, store, inquire about, analyze and show the computer system of geodata, development along with GIS, also having the GIS of title is " Geographical Information Sciences " (Geographic Information Science), in recent years, also having the GIS of title is " geographic information services " (Geographic Information service).GIS is a kind of computer based instrument, and it can analyze and process to spatial information (be in brief, phenomenon become figure and analysis with event) to existing on the earth.GIS technology integrates the visualization effect of this uniqueness of map and geography-analysis function and general database manipulation (such as inquiry and statistical study etc.).The difference of GIS and other infosystem maximums is the storage administration analyses to spatial information, thus make its in the public and individual enterprises and institutions widely explanation event, predict the outcome, there is practical value in plan strategy etc.
ArcSDE(SDE is Spatial Database Engine, spatial database engine) be the GIS passage between ArcGIS and relational database.It allows user to manage geography information in several data management system, and makes all ArcGIS application programs can both use these data.Adopt ArcSDE as the service end data channel between GIS client and relational database, using SQLite as local cache database, the electric network data of non-editing mode downloaded to this locality, in follow-up maintenance process, only download incremental data, comprising:
Step 1: described whole database is stored in a single file on host's main frame creates the buffer memory of low voltage electric network data in internal memory, and the buffer memory of electric network data is set up by operating personnel's affiliated run unit, forms the subset of whole low voltage electric network;
Step 2: by minimum unit amount data stuffing in the buffer memory of each electric network data;
Step 3: in the buffer memory of electric network data, grid spatial index is set, is about to region and divides equal and opposite in direction or graticule mesh not etc. with lines anyhow, record the spatial entities that each graticule mesh comprises.For the feature of ultra-large low pressure data, for improving the recall precision of spatial data, we are provided with corresponding spatial index in each layer data buffer memory.Spatial index refers to a kind of data structure of arranging in sequence according to certain spatial relationship between the position of spatial object and shape or spatial object, the summary info that wherein comprises spatial object, as the pointer of the sign of object, boundary rectangle and pointing space object entity.The superior direct overall performance that affects spatial database and Geographic Information System of the performance of spatial index.
In low pressure data storehouse, the grid spatial index that we adopt ArcGIS to provide, is about to region and divides equal and opposite in direction or graticule mesh not etc. with lines anyhow, records the spatial entities that each graticule mesh comprises.When carrying out space querying, first calculate query object place graticule mesh, and then in this grid the selected spatial entities of fast query, accelerated widely the inquiry velocity of spatial index.But grid index is a kind of index of multi-to-multi, can cause redundancy, and grid is divided carefullyyer, the precision of search is just higher, and redundancy is also larger certainly, and the disk space expending and search time are also longer.Therefore, in the design of low pressure data storehouse, we divide for the space characteristics of power network object, and the object that space characteristics is approximate stores together, and sets up applicable graticule mesh according to its space characteristics, guarantees the efficiency of inquiry.And in single grid, adopt 4 forked type R tree index; R tree is a kind of form that B tree is developed to hyperspace, and it is divided spatial object by scope, the corresponding region of each node and a disk page, and its data structure is as follows:
(1) R tree is n fork tree, and n is called the fan (fan) of R tree.
(2) the corresponding rectangle of each node.
(3) on leafy node, comprised the object that is less than or equal to n, the outsourcing rectangle that its corresponding square is all objects.
(4) rectangle of non-leaf node is the outsourcing rectangle of all child node rectangles.
R tree is a kind of dynamic indexing structure, that is: its inquiry can or be deleted and carry out simultaneously with insertion, and does not need termly tree construction to be reorganized.Because the unit of each graticule mesh design of the present invention is less, therefore can only be set to 4 by n at most.Higher fork number also cannot improve index efficiency.
Step 4: the data of having logined are carried out to accidental validation, abnormal data is proposed to alarm.
Wherein under the operating personnel described in step 1 run unit to take the branch office of county telephone central office or city office be base unit, each base unit is divided between an independent buffer area.Because all operations all completes in internal memory, so its operational efficiency is very high, and management is also very convenient.When data load and safeguard, its minimum unit is set as low-voltage platform area.By the separated time partition management to low pressure data, set its minimax administrative unit, ultra-large low pressure data can be divided into the data cell of suitable size, satisfied application needs one by one, can improve greatly data query and editor's efficiency.In described step 3, the coordinate of lines anyhow of net region adopts actual region physics longitude and latitude coordinate.Being designed with is like this beneficial to the coupling of unified and actual area.The concrete grammar that grid spatial index is set in described step 3 is: 1, select coordinate points; 2, buffer zone is set; 3, dissolving space geographical entity adjacent, that specified attribute is identical is an entity; 4, B-spline curves carry out matching.
During concrete operations, establish known n plane discrete point, be designated as Pi(i=1,2 ..., n).
With P1, P2, P3, P4, draw the 1st B-spline Curve;
With P2, P3, P4, P5, draw the 2nd B-spline Curve;
┇┇┇
With Pn-3, Pn-2, Pn-1, Pn, draw n-3 bar B-spline Curve.
Each that draw with said method section curve is connected naturally.
In every B-spline curves
If four discrete points are P0, P1, P2, P3;
If mid point is:
Line starting point S is positioned at Δ P
0p
1p
2center line P
1m
1upper, apart from P
1point
place; End of Curve is positioned at Δ P
1p
2p
3center line P
2m
2upper, apart from P
2point
place;
Line starting point tangent line is parallel to P
0p
2,
Terminal tangent line is parallel to P
1p
3.By such structure, just can set out the B-spline Curve in grid spatial index.
The method of in described step 4, the data of having logined being carried out to accidental validation is: first according to net type spatial index, create out that lines coordinate is interval anyhow, by a coordinate of the random generation of tandom number generator, first judge that this coordinate is whether in interval, one's respective area, if not abandoning this data, continue to generate next coordinate; If these data, in coordinate interval, one's respective area, read data in the coordinate figure of its adjacent 8 positions by this numerical value, estimate the data of this value, finally estimated value and actual coordinate value are carried out to verification, judge that whether this coordinate position data is normal.
For fear of maloperation, in editing process, to locking between place editor's buffer area, avoid other people to operate simultaneously.The dynamic lock-in techniques of equipment is not locking when creating engineering activity, but dynamically locks in editing process, avoiding, under the prerequisite of editor's conflict, can guaranteeing minimum lock-in range, allows more people can concurrently carry out work like this.
The present invention has related to Some Domestic area now, wherein relates to transmission line of electricity more than 6000 bars, distribution line more than 20000 bars, more than 2000, transformer station.By the present invention, can process in time at a high speed the information of these equipment.Operating personnel has good feedback after using.
Claims (7)
1. ultra-large low pressure data disposal route, being built up in service end concentrates deployment, client to disperse in the power grid GIS framework of application, adopt ArcSDE as the service end data channel between GIS client and relational database, using SQLite as local cache database, the electric network data of non-editing mode is downloaded to this locality, in follow-up maintenance process, only download incremental data, it is characterized in that: comprising:
Step 1: described whole database is stored in a single file on host's main frame creates the buffer memory of low voltage electric network data in internal memory, and the buffer memory of electric network data is set up by operating personnel's affiliated run unit, forms the subset of whole low voltage electric network;
Step 2: by minimum unit amount data stuffing in the buffer memory of each electric network data;
Step 3: in the buffer memory of electric network data, grid spatial index is set, is about to the graticule mesh that lines are divided equal and opposite in direction or do not waited anyhow for region, record the spatial entities that each graticule mesh comprises, and adopt 4 forked type R to set index in single grid;
Step 4: the data of having logined are carried out to accidental validation, abnormal data is proposed to alarm.
2. ultra-large low pressure data disposal route as claimed in claim 1, is characterized in that: under the operating personnel described in step 1, to take the branch office of county telephone central office or city office be base unit to run unit, and each base unit is divided between an independent buffer area.
3. ultra-large low pressure data disposal route as claimed in claim 1, is characterized in that: in described step 2, when data load and safeguard, its minimum unit is set as low-voltage platform area.
4. ultra-large low pressure data disposal route as claimed in claim 1, is characterized in that: in described step 3, the coordinate of lines anyhow of net region adopts actual region physics longitude and latitude coordinate.
5. ultra-large low pressure data disposal route as claimed in claim 4, is characterized in that: the concrete grammar that grid spatial index is set in described step 3 is: 1, select coordinate points; 2, buffer zone is set; 3, dissolving space geographical entity adjacent, that specified attribute is identical is an entity; 4, B-spline curves carry out matching.
6. ultra-large low pressure data disposal route as claimed in claim 1, it is characterized in that: the method for in described step 4, the data of having logined being carried out to accidental validation is: first according to net type spatial index, create out that lines coordinate is interval anyhow, by a coordinate of the random generation of tandom number generator, first judge that this coordinate is whether in interval, one's respective area, if not abandoning this data, continue to generate next coordinate; If these data, in coordinate interval, one's respective area, read data in the coordinate figure of its adjacent 8 positions by this numerical value, estimate the data of this value, finally estimated value and actual coordinate value are carried out to verification, judge that whether this coordinate position data is normal.
7. the ultra-large low pressure data disposal route as described in as wherein arbitrary in claim 1-5, is characterized in that: be also included in editing process locking between place editor's buffer area, avoid other people to operate simultaneously.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104394186A (en) * | 2014-09-23 | 2015-03-04 | 山东鲁能软件技术有限公司 | Distributed cache for dynamic segmentation of grid resource based on GIS (Geographic Information System) platform |
| CN104392386A (en) * | 2014-09-23 | 2015-03-04 | 山东鲁能软件技术有限公司 | Power network resource GIS application grid segmentation method based on GIS platform |
| CN105718480A (en) * | 2014-12-05 | 2016-06-29 | 星际空间（天津）科技发展有限公司 | Method for scheduling massive three-dimensional data on basis of geographic information |
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| CN102904756A (en) * | 2012-09-29 | 2013-01-30 | 浙江省电力公司 | Power information communication scheduling-operation-inspection integrated processing method |
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| CN104394186A (en) * | 2014-09-23 | 2015-03-04 | 山东鲁能软件技术有限公司 | Distributed cache for dynamic segmentation of grid resource based on GIS (Geographic Information System) platform |
| CN104392386A (en) * | 2014-09-23 | 2015-03-04 | 山东鲁能软件技术有限公司 | Power network resource GIS application grid segmentation method based on GIS platform |
| CN105718480A (en) * | 2014-12-05 | 2016-06-29 | 星际空间（天津）科技发展有限公司 | Method for scheduling massive three-dimensional data on basis of geographic information |
| CN105718480B (en) * | 2014-12-05 | 2019-03-22 | 星际空间（天津）科技发展有限公司 | A method of the magnanimity three-dimensional data scheduling based on geography information |
| CN107133272A (en) * | 2017-04-07 | 2017-09-05 | 南京南瑞集团公司 | A kind of Web ends magnanimity power network resources GIS data dynamic dispatching and rendering intent |
| CN107133272B (en) * | 2017-04-07 | 2019-12-03 | 南京南瑞集团公司 | A kind of end Web magnanimity power network resources GIS data dynamic dispatching and rendering method |
| CN113190645A (en) * | 2021-05-31 | 2021-07-30 | 国家电网有限公司大数据中心 | Index structure establishing method, device, equipment and storage medium |
| CN113792051A (en) * | 2021-09-17 | 2021-12-14 | 河北幸福消费金融股份有限公司 | Data processing method, system, device and storage medium based on multi-mode lock |
| CN113792051B (en) * | 2021-09-17 | 2023-08-25 | 河北幸福消费金融股份有限公司 | Data processing method, system, equipment and storage medium based on multi-mode lock |
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