CN104318333A - Transmission line channel preferring system and method based on multi-source spatial data - Google Patents
Transmission line channel preferring system and method based on multi-source spatial data Download PDFInfo
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Abstract
A transmission line channel preferring system based on multi-source spatial data comprises a multi-source data conversion rule library (1), a multi-source data processing module (3), a stratified data generation module (5), a planning database (4) and an intelligent channel planning module (7) for outputting the final result, wherein the multi-source data conversion rule library (1), the multi-source data processing module (3), the stratified data generation module (5), the planning database (4) and the intelligent channel planning module (7) are sequentially connected. The multi-source data processing module (3) is directly connected with the planning database (4) through an additional channel. A massive data storage platform (6) is connected with the multi-source data conversion rule library (1), an expert data bank (2) and the planning database (4). Data in the expert data bank (2) are output to the planning database (4) and the intelligent channel planning module (7). The system further comprises a high-performance operation platform (8) which is connected with the multi-source data processing module (3), the stratified data generation module (5) and the intelligent channel planning module (7). According to the system, work efficiency can be improved, the design period is shortened, labor intensity is relieved, design cost is saved, and channel resources are reasonably used.
Description
Technical field
The present invention relates to a kind of electric transmission line channel optimum decision system based on multi-source Spatial Data.The invention still further relates to the electric transmission line channel method for optimizing adopting described system to carry out based on multi-source Spatial Data.
Background technology
Electric transmission line channel is the basis of formulating electrical network integrated planning and development strategy, and due to the fast development of electrical network and the restriction of city planning, power transmission line corridor passage is more and more nervous.Therefore, the how limited channel resource of Appropriate application, alleviates the contradiction between power construction and city planning, and the decision-making of auxiliary power grid construction and analysis, advance social economy's high speed development, is the problem in the urgent need to research.
Traditional power transmission and transformation line engineering path Optimization Work for Main Basis with 1:50000 topomap, needs to carry out a large amount of making an on-the-spot survey on the spot, determines passage scheme.Mainly there is following problem in it:
Conventional channels optimal way is Main Basis with topomap, but topomap is particularly outmoded, cannot reflect present situation.And along with the fast development of national economy, the uncertain factor occurred in corridor is increasing, the traditional approach of experience is relied on to be difficult to adapt to day by day complicated passage change.
Reconnaissance work efficiency is on the spot low, and labour intensity is large.Designer makes an on-the-spot survey understanding channel case on the spot by field, and on topomap, mark various information.Along with the fast development of electrical network, in the engineering design of, circumstance complication large-scale at some, there is the problems such as efficiency is low, labour intensity is large, engineering statistics is difficult, cannot actual demands of engineering be met.
Make an on-the-spot survey on the spot and have tunnel vision, be difficult to hold the overall situation.Make an on-the-spot survey on the spot and get down to some isolated points, macroscopic view, comprehensive grasp cannot be carried out to situation in passage, therefore be difficult to the optimization realizing channel resource.
Lack basic data in Traditional project CHANNEL OPTIMIZATION process, and technological means is single, is difficult to make the utilization factor of power transmission line corridor to reach the reasonable value of corresponding height.Especially current along with urbanization process quickening and urban industry fast development, land resource is more and more nervous, land utilization ratio requires more and more higher, and cause the selection of electric transmission line channel to be subject to severely restricts, channel resource utilizes unreasonable.
Summary of the invention
First technical matters to be solved by this invention, is just to provide a kind of electric transmission line channel optimum decision system based on multi-source Spatial Data.
Second technical matters to be solved by this invention, is just to provide a kind of electric transmission line channel method for optimizing adopting described system to carry out based on multi-source Spatial Data.
Adopt of the present invention based on satellite remote sensing technology, GIS technology, three-dimensional visualization technique in one, build and integrate multi-source transmission tine planning Data Integration, passage rapid Design, the electric transmission line channel optimum decision system of scheme optimization and method, the factor occurred in corridor can be determined comprehensively, in real time, optimize the work efficiency of raising Transmission Line Design, shorten the design cycle, reduce labor strength, save design cost, Appropriate application channel resource.
Solve above-mentioned first technical matters, the present invention adopts following technical proposals:
A kind of electric transmission line channel optimum decision system based on multi-source Spatial Data, it is characterized in that: comprise the intelligent channel planning module 7 that the multi-source data connected successively is changed code storehouse 1, multi-source data processing module 3, individual-layer data generation module 5, planning database 4 and exported net result, wherein multi-source data processing module 3 also separately has passage directly to connect planning database 4; Mass data storage platform 6 is separately had to connect multi-source data conversion code storehouse 1, expert's data bank 2 and planning database 4 respectively, expert's data bank 2 exports planning database 4 and intelligent channel planning module 7 to, also have high performance computation platform 8, be connected with intelligent channel planning module 7 with multi-source data processing module 3, individual-layer data generation module 5 respectively.
Multi-source data conversion code storehouse 1, in order to store the preferably required Various types of data transfer standard of electric transmission line channel and specification, data prediction is the readable form of multi-source data processing module by assisted user;
Expert's data bank 2, in order to store in electric transmission line channel affect routing topographic and geologic, landforms, social economy and technical factor and above-mentioned factor constraint weight;
Above-mentioned data transformations, in order to receive and to process administration in the multiple dimensioned remotely-sensed data of multi-source, GIS data and electric transmission line channel, economic data, is available planning source data by multi-source data processing module 3;
Planning database 4, is made up of multi-source spatial source database and hierarchical data base, respectively in order to store the individual-layer data of formation after the multi-source spatial source data and individual-layer data generation module 5 process that processs through multi-source data processing module 3;
Individual-layer data generation module 5, in order to receive process multi-source data, and be converted into intelligent channel planning module 7 can individual-layer data;
Mass data storage platform 6, changes code storehouse 1 with described multi-source data, expert's data bank 2 is connected respectively with planning database 4, in order to provide the distributed quick access of magnanimity layout data;
Intelligent channel planning module 7, be connected respectively with planning database 4, expert's data bank 2, in order to call the individual-layer data in planning database, give each layer data corresponding weight according to the data in expert's data bank, and then generate Transmission Line Design scheme according to layout of roads algorithm and export;
High performance computation platform 8, is connected with intelligent channel planning module 7 respectively with described multi-source data processing module 3, individual-layer data generation module 5, in order to provide high-performance calculation support to above-mentioned module, improves computing speed;
Described multi-source data conversion code storehouse 1, multi-source data processing module 3, individual-layer data generation module 5, planning database 4 are connected successively with intelligent channel planning module 7, wherein planning database 4 also external expert's data bank 2.
Described topographic and geologic comprises elevation, the gradient, slope aspect, earthquake, wind, snow and thunder and lightning, landforms comprise military area, forest, natural scenic spot, mining area, water resource, river leap and wildlife, social economy comprises farming region and residential block, and technical factor comprises road, railway, pipeline and electric wire and crosses over information.
Described layout of roads algorithm is the A* algorithm of prior art.
Described planning database is containing source database and hierarchical data base, multi-source Spatial Data is divided into multiple data Layer according to the type of data, scope, the factor of paying the utmost attention to: wilderness area nucleus, military protected location, large-scale residential block, city on a large scale atural object are divided in ground floor, abrupt slope, mountain peak, river, dense vegetation regional nature geographic element are divided in the second layer, and the small-sized atural object of scattered house, road, railway and political geography key element are divided into third layer; Every layer data is all divided into the graticule mesh of N*N, and according to the rank of place layer, the quantity of N increases progressively step by step from ground floor.
Solve above-mentioned second technical matters, the present invention adopts following technical proposals:
Adopt the electric transmission line channel method for optimizing that described system is carried out based on multi-source Spatial Data, it is characterized in that comprising the following steps:
S1, the intermediate point determined the starting point of passage, terminal and must pass through;
S2, intelligent channel planning module takes out the weight of all kinds of constraint from expert's data bank, carries out weight calculation and assignment to each grid of individual-layer data;
S3, plans according to existing passage planning algorithm, draws the electric transmission line channel of 15 kilometers of width at ground floor by ground floor;
S4, again plans in the second layer data that the electric transmission line channel drawn at ground floor is corresponding, obtains the electric transmission line channel of 10 kilometers of width;
S5, in the third layer data that the electric transmission line channel drawn at the second layer is corresponding, carries out third time planning, obtains the electric transmission line channel scheme of 5 kilometers;
S6, output channel scheme.
The invention has the beneficial effects as follows: electric transmission line channel optimum decision system of the present invention is applied to the planning application for developing of engineering construction, substantially increase the work efficiency of electric transmission line channel design, shorten the design cycle, save design cost, ensure the objectivity of design, realize the utilization effectively and reasonably of channel resource.
Accompanying drawing explanation
Fig. 1 is composition and the annexation schematic diagram of electric transmission line channel optimum decision system;
Fig. 2 is the structural representation of individual-layer data;
Fig. 3 is electric transmission line channel optimization algorithm process flow diagram.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.
Fig. 1 is composition and the annexation schematic diagram of electric transmission line channel optimum decision system.This system comprises: comprise the intelligent channel planning module 7 that the multi-source data connected successively is changed code storehouse 1, multi-source data processing module 3, individual-layer data generation module 5, planning database 4 and exported net result, wherein multi-source data processing module 3 also separately has passage directly to connect planning database 4; Mass data storage platform 6 is separately had to connect multi-source data conversion code storehouse 1, expert's data bank 2 and planning database 4 respectively, expert's data bank 2 exports planning database 4 and intelligent channel planning module 7 to, also have high performance computation platform 8, be connected with intelligent channel planning module 7 with multi-source data processing module 3, individual-layer data generation module 5 respectively.
Described multi-source data conversion code storehouse is in order to store Various types of data transfer standard and the specification of electric transmission line channel design, mainly comprise the transition specification of the GIS vector data such as satellite remote sensing date, LiDAR data, Unmanned Aerial Vehicle Data, data of taking photo by plane and administrative region, economic zone, house, road, river, railway, data prediction is the readable form of multi-source data processing module by auxiliary data acquisition personnel.
Described expert's data bank is in order to store the constraint weight of all kinds of atural object in electric transmission line channel and restrictive condition, and the atural object specifically need considered comprises height, the gradient, span, Ice Area, contaminated area, mineral products district, vegetation density etc.
Described planning database, containing source database and hierarchical data base, respectively in order to store the individual-layer data formed after the multi-source spatial source data and the process of individual-layer data generation module of the process of multi-source data processing module.
Fig. 2 is hierarchical data structure schematic diagram.Multi-source Spatial Data is divided into multiple data Layer by by according to the type of data, scope, the factor of paying the utmost attention to; such as wilderness area nucleus, military protected location, large-scale residential block, city etc. on a large scale atural object will be divided in ground floor, and the natural geography factors such as abrupt slope, mountain peak, river, dense vegetation region will be divided in the small-sized atural objects such as the second layer, scattered house, road, railway and political geography key element will be divided into third layer.Every layer data is all divided into the graticule mesh of N*N, and according to the rank of place layer, the quantity of N increases progressively step by step from ground floor.
Described mass data storage platform changes code storehouse with described multi-source data, expert's data bank is connected with planning database, in order to provide the distributed quick access of magnanimity layout data.Database purchase is on disk array, model EMCCX4-480, to be suitable for heavy issued transaction, the large-scale blocks of data comprising maximal rate transmits, back up to disk, copy, data warehouse and computed altitude intensive applications, supports that Distributed Storage and database laterally expand.
Described multi-source data processing module in order to the GIS vector data such as satellite remote sensing date multiple dimensioned for multi-source, LiDAR data, Unmanned Aerial Vehicle Data, data of taking photo by plane and administrative region, economic zone, house, road, river, railway are converted into intelligent route selection system can planning source data.
Described individual-layer data generation module in order to by planning source data be converted into intelligent channel planning module can individual-layer data, be the multi-layer data form shown in this data fit Fig. 2.
Described intelligent channel planning module is connected with expert's data bank with planning database, in order to generate Transmission Line Design scheme.
Fig. 3 is the distance planning algorithm schematic flow sheet of intelligent channel planning module.
Planning process comprises:
S1, the intermediate point determined the starting point of passage, terminal and must pass through;
S2, planning module takes out the weight of all kinds of constraint from expert's data bank, carries out weight calculation and assignment to each grid of individual-layer data;
S3, plans according to passage planning algorithm, draws the electric transmission line channel of 15 kilometers of width at ground floor by ground floor;
S4, again plans, obtains the electric transmission line channel of 10 kilometers of width in the second layer data that this passage is corresponding;
S5, in the third layer data that this passage is corresponding, carries out third time planning, obtains the electric transmission line channel scheme of 5 kilometers;
S6, output channel scheme.
Described high performance computation platform is connected with intelligent channel planning module with described multi-source data processing module, individual-layer data generation module, in order to provide high-performance calculation support to above-mentioned module, improves computing speed.Because calculated amount is very huge, we adopt IBM System x3850X5 (7145N02) server as the operational outfit of high performance computation platform, take parallel calculating method to carry out passage preferably, planning algorithm is less than 10 minutes computing time under this platform is supported.
Above-mentioned electric transmission line channel optimum decision system is set information integration, program analysis, design optimization intelligent design system.
Claims (4)
1. the electric transmission line channel optimum decision system based on multi-source Spatial Data, it is characterized in that: the intelligent channel planning module (7) comprising multi-source data conversion code storehouse (1), multi-source data processing module (3), individual-layer data generation module (5), planning database (4) and the output net result connected successively, wherein multi-source data processing module (3) also separately has passage directly to connect planning database (4); Mass data storage platform (6) is separately had to connect multi-source data conversion code storehouse (1), expert's data bank (2) and planning database (4) respectively, expert's data bank (2) then exports planning database (4) and intelligent channel planning module (7) to, also have high performance computation platform (8), be connected with intelligent channel planning module (7) with multi-source data processing module (3), individual-layer data generation module (5) respectively;
Multi-source data conversion code storehouse (1), in order to store the preferably required Various types of data transfer standard of electric transmission line channel and specification, data prediction is the readable form of multi-source data processing module by assisted user;
Expert's data bank (2), in order to store in electric transmission line channel affect routing topographic and geologic, landforms, social economy and technical factor and above-mentioned factor constraint weight;
Above-mentioned data transformations, in order to receive and to process administration in the multiple dimensioned remotely-sensed data of multi-source, GIS data and electric transmission line channel, economic data, is available planning source data by multi-source data processing module (3);
Planning database (4), be made up of multi-source spatial source database and hierarchical data base, respectively in order to store the multi-source spatial source data that processs through multi-source data processing module (3) and individual-layer data generation module (5) process after the individual-layer data of formation;
Individual-layer data generation module (5), in order to receive process multi-source data, and is converted into the available individual-layer data of intelligent channel planning module (7);
Mass data storage platform (6), in order to provide the distributed quick access of magnanimity layout data;
Intelligent channel planning module (7), in order to call the individual-layer data in planning database, gives each layer data corresponding weight according to the data in expert's data bank, and then generates Transmission Line Design scheme according to layout of roads algorithm and export;
High performance computation platform (8), in order to provide high-performance calculation support to multi-source data processing module (3), individual-layer data generation module (5) and intelligent channel planning module (7), improves computing speed.
2. the electric transmission line channel optimum decision system based on multi-source Spatial Data according to claim 1, is characterized in that: described topographic and geologic comprises elevation, the gradient, slope aspect, earthquake, wind, snow and thunder and lightning; Landforms comprise military area, forest, natural scenic spot, mining area, water resource, river leap and wildlife; Social economy comprises farming region and residential block, and technical factor comprises road, railway, pipeline and electric wire and crosses over information; Described layout of roads algorithm is the A* algorithm of prior art.
3. based on the electric transmission line channel optimum decision system of multi-source Spatial Data, it is characterized in that comprising: described planning database is containing source database and hierarchical data base, multi-source Spatial Data is divided into multiple data Layer according to the type of data, scope, the factor of paying the utmost attention to: wilderness area nucleus, military protected location, large-scale residential block, city on a large scale atural object are divided in ground floor, abrupt slope, mountain peak, river, dense vegetation regional nature geographic element are divided in the second layer, and the small-sized atural object of scattered house, road, railway and political geography key element are divided into third layer; Every layer data is all divided into the graticule mesh of N*N, and according to the rank of place layer, the quantity of N increases progressively step by step from ground floor.
4. the system of employing as described in claim 1-3 any one carries out the electric transmission line channel method for optimizing based on multi-source Spatial Data, it is characterized in that comprising the following steps:
S1, the intermediate point determined the starting point of passage, terminal and must pass through;
S2, intelligent channel planning module takes out the weight of all kinds of constraint from expert's data bank, carries out weight calculation and assignment to each grid of individual-layer data;
S3, plans according to existing passage planning algorithm, draws the electric transmission line channel of 15 kilometers of width at ground floor by ground floor;
S4, again plans in the second layer data that the electric transmission line channel drawn at ground floor is corresponding, obtains the electric transmission line channel of 10 kilometers of width;
S5, in the third layer data that the electric transmission line channel drawn at the second layer is corresponding, carries out third time planning, obtains the electric transmission line channel scheme of 5 kilometers;
S6, output channel scheme.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107885960A (en) * | 2017-12-07 | 2018-04-06 | 北京天润新能投资有限公司 | A kind of earthwork estimation system and evaluation method based on construction road automatic route selection in wind power plant field |
| CN112862210A (en) * | 2021-03-05 | 2021-05-28 | 云南电网有限责任公司电力科学研究院 | Transmission tower site selection optimization system and method based on satellite remote sensing identification |
| CN115456523A (en) * | 2022-09-06 | 2022-12-09 | 上海聚货通电子商务有限公司 | Method and system for planning goods picking channel of e-commerce warehouse |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101621191A (en) * | 2009-08-06 | 2010-01-06 | 重庆市电力公司超高压局 | Three-dimensional visual processing method and system for extra high voltage transmission line |
| CN102509165A (en) * | 2011-11-30 | 2012-06-20 | 华北电网有限公司 | Intelligent line selecting system and method for power transmission line |
| CN103996991A (en) * | 2014-06-13 | 2014-08-20 | 国家电网公司 | Line selecting method and system for electric transmission line |
-
2014
- 2014-10-29 CN CN201410596450.1A patent/CN104318333A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101621191A (en) * | 2009-08-06 | 2010-01-06 | 重庆市电力公司超高压局 | Three-dimensional visual processing method and system for extra high voltage transmission line |
| CN102509165A (en) * | 2011-11-30 | 2012-06-20 | 华北电网有限公司 | Intelligent line selecting system and method for power transmission line |
| CN103996991A (en) * | 2014-06-13 | 2014-08-20 | 国家电网公司 | Line selecting method and system for electric transmission line |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107885960A (en) * | 2017-12-07 | 2018-04-06 | 北京天润新能投资有限公司 | A kind of earthwork estimation system and evaluation method based on construction road automatic route selection in wind power plant field |
| CN112862210A (en) * | 2021-03-05 | 2021-05-28 | 云南电网有限责任公司电力科学研究院 | Transmission tower site selection optimization system and method based on satellite remote sensing identification |
| CN115456523A (en) * | 2022-09-06 | 2022-12-09 | 上海聚货通电子商务有限公司 | Method and system for planning goods picking channel of e-commerce warehouse |
| CN115456523B (en) * | 2022-09-06 | 2023-06-16 | 上海聚货通电子商务有限公司 | Planning method and system for e-commerce warehouse picking channel |
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Application publication date: 20150128 |