CN107368556A - A kind of transmission line of electricity multi-source geographic information uniformity matching system - Google Patents
A kind of transmission line of electricity multi-source geographic information uniformity matching system Download PDFInfo
- Publication number
- CN107368556A CN107368556A CN201710538848.3A CN201710538848A CN107368556A CN 107368556 A CN107368556 A CN 107368556A CN 201710538848 A CN201710538848 A CN 201710538848A CN 107368556 A CN107368556 A CN 107368556A
- Authority
- CN
- China
- Prior art keywords
- point
- matching
- information
- module
- transmission line
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of transmission line of electricity multi-source geographic information uniformity matching system, including data preprocessing module, determine candidate matches point module, selected matching point module, checking matching point module and artificial matching module.Using the system of the present invention, it can realize and carry out uniformity matching automatically according to data content, geometric position, attribute information, semantical definition etc., reduce artificial matching workload.
Description
Technical field
The invention belongs to technical field of information processing, and in particular to a kind of transmission line of electricity multi-source geographic information uniformity matching
System.
Background technology
For south electric network transmission line of electricity geography information because the producer of construction is different, its data source is various, causes geographical letter
Breath can not be compatible unified.How by the data of separate sources by integrating and merging, formation unified standard, content intact, can be with
Shared spatial database turns into increasingly distinct issues.
The content of the invention
In order to solve above-mentioned problem, the present invention proposes a kind of transmission line of electricity multi-source geographic information uniformity matching
System, the technical scheme that the system uses for：
A kind of transmission line of electricity multi-source geographic information uniformity matching system, including data preprocessing module, determine candidate matches point
Module, selected matching point module, checking matching point module and artificial matching module.
Preferably, the data preprocessing module be used for different data formats is changed and uniformly, world coordinates
Conversion, the duplicate data deleted in data set record and attribute field reconstruct.
Preferably, described to determine that candidate matches point module is used for the candidate information point set for determining matching, its specific method is：
S1：Select a reference position；
S2：Determine a gauged distance threshold value；
S3：Buffering area is generated to each information point to be matched with the gauged distance threshold value, fallen in the range of the buffering area
Point be the information point to be matched candidate information point set；
S4：Identical identification number is subject to each information point and corresponding candidate matches point.
Preferably, the specific method of the step S1 is：Geometric accuracy highest data are selected as standard, with the data
Position on the basis of the space geometry position of information point in collection.
Preferably, the specific method of the step S2 is：
（1）Assuming that the positional accuracy of two datasets is respectively m1, m2, then the positional accuracy m of same information point is：
（2）TakeM2 times or 3 times be used as gauged distance threshold values.
Preferably, the selected matching point module is used for the information point of selected matching, and its specific method is：
The identification number of each information point is obtained, and finds and counts in its corresponding buffering area and waited with its identification number identical
Match point is selected, obtains the similarity of each information point and candidate matches point, it is to choose the maximum candidate matches point of similarity
The information point matched somebody with somebody.
Preferably, the checking matching point module is used to verify whether the match point selected really matches, its specific side
Method is：The distance threshold of two information points to match each other is calculated, if the distance threshold is without departing from predetermined normal pitch
From threshold value, then matching is completed, otherwise manually matched.
The beneficial effects of the invention are as follows：It can realize automatically according to data content, geometric position, attribute information, semantical definition
Deng progress uniformity matching, artificial matching workload is reduced.
Brief description of the drawings
Fig. 1 is the structural representation of the present invention.
Embodiment
A kind of transmission line of electricity multi-source geographic information uniformity matching system, as shown in figure 1, including data preprocessing module,
Determine candidate matches point module, selected matching point module, checking matching point module and artificial matching module.Wherein：
Data preprocessing module is used to pre-process data.Because the data of separate sources are in positional accuracy, storage format
And attribute definition etc. all varies, in the information Point matching work in carrying out separate sources data, it is necessary to advanced
Some data predictions of row, it is main to include being changed different data formats and uniformly, world coordinates conversion, delete data
The processing procedure such as duplicate data record, attribute field reconstruct in collection.
Determine candidate matches point module be used for determine match candidate information point set.The determination of candidate matches point is uniformity
A significant process in matching treatment, it not only determines the efficiency of matching, also determines the order of accuarcy of matching.In different pieces of information
Concentrate, it is more the information of similitude between data attribute to be present, if information point all with all information in another data set
Point is compared calculating, will increase unnecessary amount of calculation, consumes substantial amounts of system resource.It is importantly, to be matched
Information point increase, be difficult to during matching obtain most accurate attributes similarity, add the difficulty of matching, the order of accuarcy of matching
Also can not ensure.So determining candidate matches point, the information redundancy in matching is reduced as far as possible, is to obtain accurately matching
As a result precondition.
Geometric accuracy highest data are selected as standard, using the space geometry position of information point in the data set as base
Standard, according to a certain distance threshold value, buffering area is generated to each information point to be matched.The size of information point matching distance threshold value
Consider the positional accuracy in source data.Assuming that the positional accuracy of two datasets is respectively m1, m2, then same information
The positional accuracy m of point can be obtained as the following formula according to law of propagation of errors：
（1）
Then 2 times or 3 times of M can be taken to treat match information point generation buffering area as gauged distance threshold value, fallen
Point in the range of each information dot buffer zone to be matched, with regard to the candidate information point set as point to be matched.Simultaneously to each letter
Breath point and corresponding candidate matches point are subject to identical identification number, to be searched in follow-up matching process.
Selected matching point module is used for the information point from the selected matching of candidate matches o'clock.The acquisition of information point similarity,
It is the key for carrying out information point uniformity matching treatment.The identification number of each information point is obtained, and in its corresponding buffering area
It is middle find and count with its identification number identical candidate matches point, obtain the similarity of each information point and candidate matches point,
Choose information point of the maximum candidate matches point of similarity for matching.
Checking matching point module is used to verify whether the match point selected really matches, and its specific method is：Calculate mutual
The distance threshold of two information points to match, if the distance threshold without departing from predetermined gauged distance threshold value,
With completion, otherwise manually matched.
Claims (7)
1. a kind of transmission line of electricity multi-source geographic information uniformity matching system, it is characterised in that including data preprocessing module, really
Determine candidate matches point module, selected matching point module, checking matching point module and artificial matching module.
A kind of 2. transmission line of electricity multi-source geographic information uniformity matching system according to claim 1, it is characterised in that institute
State data preprocessing module be used for different data formats is changed and uniformly, world coordinates conversion, delete data set in
Duplicate data record and attribute field reconstruct.
A kind of 3. transmission line of electricity multi-source geographic information uniformity matching system according to claim 1, it is characterised in that institute
State and determine that candidate matches point module is used for the candidate information point set for determining matching, its specific method is：
S1：Select a reference position；
S2：Determine a gauged distance threshold value；
S3：Buffering area is generated to each information point to be matched with the gauged distance threshold value, fallen in the range of the buffering area
Point be the information point to be matched candidate information point set；
S4：Identical identification number is subject to each information point and corresponding candidate matches point.
A kind of 4. transmission line of electricity multi-source geographic information uniformity matching system according to claim 3, it is characterised in that institute
The specific method for stating step S1 is：Geometric accuracy highest data are selected as standard, with the space of information point in the data set
Position on the basis of geometric position.
A kind of 5. transmission line of electricity multi-source geographic information uniformity matching system according to claim 3, it is characterised in that institute
The specific method for stating step S2 is：
（1）Assuming that the positional accuracy of two datasets is respectively m1, m2, then the positional accuracy m of same information point is：
（2）TakeM2 times or 3 times be used as gauged distance threshold values.
A kind of 6. transmission line of electricity multi-source geographic information uniformity matching system according to claim 1, it is characterised in that institute
The information point that selected matching point module is used for selected matching is stated, its specific method is：
The identification number of each information point is obtained, and finds and counts in its corresponding buffering area and waited with its identification number identical
Match point is selected, obtains the similarity of each information point and candidate matches point, it is to choose the maximum candidate matches point of similarity
The information point matched somebody with somebody.
A kind of 7. transmission line of electricity multi-source geographic information uniformity matching system according to claim 1, it is characterised in that institute
State checking matching point module to be used to verify whether the match point selected really matches, its specific method is：Calculating matches each other
Two information points distance threshold, if the distance threshold, without departing from predetermined gauged distance threshold value, matching is completed,
Otherwise manually matched.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710538848.3A CN107368556B (en) | 2017-07-04 | 2017-07-04 | Power transmission line multi-source geographic information consistency matching system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710538848.3A CN107368556B (en) | 2017-07-04 | 2017-07-04 | Power transmission line multi-source geographic information consistency matching system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107368556A true CN107368556A (en) | 2017-11-21 |
| CN107368556B CN107368556B (en) | 2020-10-20 |
Family
ID=60306182
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710538848.3A Active CN107368556B (en) | 2017-07-04 | 2017-07-04 | Power transmission line multi-source geographic information consistency matching system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107368556B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008137978A1 (en) * | 2007-05-08 | 2008-11-13 | The University Of Vermont And State Agricultural College | Systems and methods for reservoir sampling of streaming data and stream joins |
| CN105139277A (en) * | 2015-08-18 | 2015-12-09 | 国家电网公司 | Electric power distribution network information clustering system and method |
| CN105184492A (en) * | 2015-09-10 | 2015-12-23 | 国网福建省电力有限公司 | Electric power typhoon disaster resistance simulation analysis early warning system based on three-dimensional digital Earth |
| CN105574669A (en) * | 2015-12-16 | 2016-05-11 | 国网山东省电力公司电力科学研究院 | Space-time union data clustering analysis based abnormal status detection method for power transmission and transformation device |
| US20160191993A1 (en) * | 2012-03-27 | 2016-06-30 | Amazon Technologies, Inc. | Source identification for unauthorized copies of content |
| CN106530132A (en) * | 2016-11-14 | 2017-03-22 | 国家电网公司 | Power load clustering method and device |
| US20170146585A1 (en) * | 2015-11-25 | 2017-05-25 | Hitachi, Ltd. | Estimating the locations of power system events using pmu measurements |
| CN106897945A (en) * | 2017-03-02 | 2017-06-27 | 新疆金风科技股份有限公司 | The clustering method and equipment of wind power generating set |
-
2017
- 2017-07-04 CN CN201710538848.3A patent/CN107368556B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008137978A1 (en) * | 2007-05-08 | 2008-11-13 | The University Of Vermont And State Agricultural College | Systems and methods for reservoir sampling of streaming data and stream joins |
| US20160191993A1 (en) * | 2012-03-27 | 2016-06-30 | Amazon Technologies, Inc. | Source identification for unauthorized copies of content |
| CN105139277A (en) * | 2015-08-18 | 2015-12-09 | 国家电网公司 | Electric power distribution network information clustering system and method |
| CN105184492A (en) * | 2015-09-10 | 2015-12-23 | 国网福建省电力有限公司 | Electric power typhoon disaster resistance simulation analysis early warning system based on three-dimensional digital Earth |
| US20170146585A1 (en) * | 2015-11-25 | 2017-05-25 | Hitachi, Ltd. | Estimating the locations of power system events using pmu measurements |
| CN105574669A (en) * | 2015-12-16 | 2016-05-11 | 国网山东省电力公司电力科学研究院 | Space-time union data clustering analysis based abnormal status detection method for power transmission and transformation device |
| CN106530132A (en) * | 2016-11-14 | 2017-03-22 | 国家电网公司 | Power load clustering method and device |
| CN106897945A (en) * | 2017-03-02 | 2017-06-27 | 新疆金风科技股份有限公司 | The clustering method and equipment of wind power generating set |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107368556B (en) | 2020-10-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101339575B (en) | Three-dimensional visualized process design system and its design method | |
| CN105184394B (en) | Optimal control method based on CPS online data mining of power distribution network | |
| CN106599915B (en) | A kind of vehicle-mounted laser point cloud classifications method | |
| Liu et al. | Target localization in local dense mapping using RGBD SLAM and object detection | |
| CN104462199A (en) | Near-duplicate image search method in network environment | |
| CN103530649A (en) | Visual searching method applicable mobile terminal | |
| CN109871818B (en) | Face recognition method based on normal vector distribution histogram and covariance descriptor | |
| CN110969517B (en) | Bidding life cycle association method, system, storage medium and computer equipment | |
| CN105205864A (en) | Multi-source-data-based automatic modeling method and system of three-dimension model of geological structural surface | |
| CN102208033A (en) | Data clustering-based robust scale invariant feature transform (SIFT) feature matching method | |
| CN109559347A (en) | Object identifying method, device, system and storage medium | |
| Zou et al. | aware representation for sketch-based 3d model retrieval | |
| Dehbi et al. | Robust and fast reconstruction of complex roofs with active sampling from 3D point clouds | |
| Wan et al. | MFFNet: Multi-modal Feature Fusion Network for VDT Salient Object Detection | |
| CN109712174A (en) | A kind of point cloud of Complex Different Shape curved surface robot three-dimensional measurement mismatches quasi- filtering method and system | |
| CN112100308B (en) | Similarity query method for Beidou space-time trajectory | |
| Zhang et al. | Dense 3d mapping for indoor environment based on feature-point slam method | |
| CN107368556A (en) | A kind of transmission line of electricity multi-source geographic information uniformity matching system | |
| Cai et al. | The mining of urban hotspots based on multi-source location data fusion | |
| Zhao et al. | Accurate extraction of building roofs from airborne light detection and ranging point clouds using a coarse-to-fine approach | |
| CN107391615A (en) | A kind of transmission line of electricity multi-source geographic information uniformity matching process | |
| CN111582391B (en) | Three-dimensional point cloud outlier detection method and device based on modular design | |
| Peng et al. | Uck-means: A customized k-means for clustering uncertain measurement data | |
| CN100367280C (en) | System for sharing 3D data of measuring human body on Internet, and method of data fusion | |
| CN105354264A (en) | Locality-sensitive-hashing-based subject label fast endowing method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |