CN109269505A - A kind of grid equipment inspection route Intelligent planning method - Google Patents

A kind of grid equipment inspection route Intelligent planning method Download PDF

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Publication number
CN109269505A
CN109269505A CN201811242809.XA CN201811242809A CN109269505A CN 109269505 A CN109269505 A CN 109269505A CN 201811242809 A CN201811242809 A CN 201811242809A CN 109269505 A CN109269505 A CN 109269505A
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China
Prior art keywords
suburb
route
city
destination
navigation
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CN201811242809.XA
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Chinese (zh)
Inventor
刘行波
李源林
严俊
杨洁
李春亮
丁超
陈亚婕
李维良
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HUBEI CENTRAL CHINA TECHNOLOGY DEVELOPMENT OF ELECTRIC POWER Co Ltd
State Grid Corp of China SGCC
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HUBEI CENTRAL CHINA TECHNOLOGY DEVELOPMENT OF ELECTRIC POWER Co Ltd
State Grid Corp of China SGCC
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Application filed by HUBEI CENTRAL CHINA TECHNOLOGY DEVELOPMENT OF ELECTRIC POWER Co Ltd, State Grid Corp of China SGCC filed Critical HUBEI CENTRAL CHINA TECHNOLOGY DEVELOPMENT OF ELECTRIC POWER Co Ltd
Priority to CN201811242809.XA priority Critical patent/CN109269505A/en
Publication of CN109269505A publication Critical patent/CN109269505A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20Instruments for performing navigational calculations

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Navigation (AREA)

Abstract

The present invention provides a kind of grid equipment inspection route Intelligent planning method, when departure place and destination are all at city, directly gives city inspection route;When departure place is in city, destination is at suburb, route is divided into two parts by system, city inspection route is provided in city part, suburb part obtains suburb road network information using all recent navigation history alignment analysis, to calculate optimal route, two parts route is combined and provides integrated navigation route;When departure place and destination are all at suburb, the historical navigation route that all recent departure places of network analysis are consistent with destination obtains suburb road network information, to calculate optimal navigation routine.The present invention carries out intelligent path planning in navigation and records real time line, topological power network line, it is analyzed by task space Query of Topological, power grid patrol task route at intelligent planning, it can be achieved to combine using network map navigation with inspection historical track, network navigation data blind area is solved, line optimization is carried out.

Description

A kind of grid equipment inspection route Intelligent planning method
Technical field
The present invention relates to power electronics information technology field, specifically a kind of grid equipment inspection route intelligent planning side Method.
Background technique
Carrying out inspection work using the mobile device of built-in Beidou/GPS is technological means relatively advanced at present.It is moving The relevant information of inspection target device is saved in dynamic equipment, inspector can consult the information of target device, by equipment deficiency etc. Patrol record is input in mobile device, and the tracks of inspection are recorded using GPS information.After equal inspections, it will set It is standby that patrol record is imported by computer by interface, it is further analyzed processing.
Due to GIS have unique quick space orientation search, spatial analysis capacity and complexity query function, effectively Figure creation and visualization means and spatial decision-making system, and Beidou/GPS can provide real-time location information, so We select to combine GIS and Beidou/GPS technology, are applied in Power Line Inspection System, so that fault location is more quasi- Really, display mode is versatile and flexible, can preferably carry out analysis and decision.
Power transmission line intelligent cruising inspection system is creatively to be integrated with GIS-Geographic Information System (GIS), Satellite Global positioning (north Bucket/GPS), the newest developmental achievement of handheld computing device (PDA) smart phone and computer network communication technology, based on " mobile Information platform " concept reform traditional inspection working method, tries to explore the new direction of route inspection management, new model out, maximum Limit reduces missing inspection, false retrieval, and timely defect elimination ensures power circuit long-term safety stable operation.
Since grid equipment is in spatial distribution, equipment component is distributed in city, and part grid equipment is distributed in intermountain, field At wild, river, and often there was only major trunk roads information in actual cartographic information (such as Baidu map, Amap), without standard The information of the die Dorfstrasse in true equipment location, this has resulted in not leading to missing inspection, mistake occur the case where suburb is navigated Situations such as inspection, and whether there is or not that cannot navigate in suburb, to will affect routing inspection efficiency.
Summary of the invention
The present invention provides a kind of grid equipment inspection route Intelligent planning method, can reduce missing inspection, false retrieval to greatest extent, Timely defect elimination ensures power circuit long-term safety stable operation, to effectively promote routing inspection efficiency.
A kind of grid equipment inspection route Intelligent planning method, mobile terminal receive searching request, searching request are sent to Server-side navigation system, server-side navigation system obtains the departure place for including in searching request and destination-address, when judging Ground and destination are sent out all at city, server-side navigation system directly gives city inspection route and is sent to mobile terminal;When out In city, at suburb, route is divided into two parts by server-side navigation system for destination, is provided city in city part and is patrolled on hair ground Route is examined, suburb part obtains suburb road network information using all recent navigation history alignment analysis, to calculate optimal Two parts route is combined and provides integrated navigation route, and is sent to mobile terminal by route;When departure place and destination are all in suburb When, server-side navigation system analyzes the historical navigation route that all recent departure places are consistent with destination, show that suburb road network is believed Breath, to calculate optimal navigation routine, and is sent to mobile terminal.
Further, when departure place and destination are all at city, mainly include the following steps: to City Road Network route into Row inquiry, navigation software City Road Network information obtains the shortest optimal road of time-consuming between departure place and destination according to the map Line is navigated using the navigation feature of digital map navigation software.
Further, when departure place is in city, destination mainly includes the following steps: at suburb
(1) navigation software City Road Network information, analysis obtain three cities nearest apart from suburb destination according to the map Point;
(2) by the analysis to suburb historical track, each intersection is abstracted into a node object;
(3) node object being abstracted into is connected one by one in the form of line, forms suburb road network;
(4) it is analyzed by the calculating to suburb road network, it is time-consuming most short to show that each city point of 3 city points arrives at the destination Optimal route;
(5) time-consuming shortest suburb optimal route is filtered out from the optimal route of three points;
(6) the suburb road network of city part route and generation splice and generate the topological file for having topological relation or write Enter Traffic network database, and navigates on map.
Further, when departure place and destination are all at suburb, mainly include the following steps:
(1) by the analysis to suburb historical track, each crossroad is abstracted as a node object;
(2) these node objects are connected in a manner of line, generates the road network file or road network for having topological relation Database forms suburb road network;
(3) it is analyzed, is obtained time-consuming from origin to destination by the calculating to suburb road network
Shortest optimal route, and navigate on map
The present invention mainly carries out intelligent path planning in navigation and records real time line, topological power network line, by appointing It is engaged in space topological query analysis, power grid patrol task route at intelligent planning is gone through, it can be achieved that being navigated using network map with inspection History track combines, and solves network navigation data blind area, carries out line optimization.
Detailed description of the invention
Fig. 1 is the process structure schematic diagram of the one of embodiment of grid equipment inspection route Intelligent planning method of the present invention;
Fig. 2 is departure place and destination of the present invention navigation schemes at city;
Fig. 3 is prior art departure place in city, and conspectus is planned at suburb in destination;
Fig. 4 is prior art departure place in city, destination inspection turn-by-turn navigation schematic diagram at suburb;
Fig. 5 is departure place of the present invention in city, and destination is at suburb according to the inquiry data and history rail of user's input Mark carries out line optimization schematic diagram;
Fig. 6 is departure place of the present invention in city, destination inspection navigation circuit schematic diagram at suburb;
Fig. 7 is that conspectus is all planned at suburb in prior art departure place and destination;
Fig. 8 be departure place and destination of the present invention all at suburb according to user input inquiry data and historical track into Row line optimizes schematic diagram;
Fig. 9 is departure place and destination of the present invention inspection navigation circuit schematic diagrames at suburb.
Specific embodiment
Below in conjunction with the attached drawing in the present invention, the technical solution in the present invention is clearly and completely described.
The embodiment of the present invention provides a kind of grid equipment inspection route Intelligent planning method, for solving suburb inspection route Navigation problem.The method combines City Road Network and suburb road network, is originated according to actual request for information and road network route The position of point and destination, analyzes inspection historical track, to cook up inspection navigation circuit.The route cooked up was both There is city part, also there is suburb part, keep inspection function more complete, inspection route is more accurate, can effectively improve route and patrol The efficiency of inspection.When departure place and destination are all at city, city inspection route is directly given;When departure place is in city, purpose At suburb, route is divided into two parts by system (referring to that grid equipment makes an inspection tour navigation GIS aided management system), in city part on ground City inspection route is provided, suburb part obtains suburb road network information using all recent navigation history alignment analysis, to count Optimal route is calculated, two parts route is combined and provides integrated navigation route;When departure place and destination are all at suburb, it is System analyzes the historical navigation route that all recent departure places are consistent with destination, suburb road network information is obtained, to calculate most Excellent navigation routine.The invention.
Referring to Fig. 1, the one of embodiment of grid equipment inspection route Intelligent planning method of the present invention, mobile terminal is received Searching request is sent to server-side navigation system by the searching request of user's input, and server-side navigation system obtains searching request In include departure place and destination-address.Three kinds of situations of the method point:
The first: when departure place and destination are all at city, mainly including the following steps:
City Road Network route is inquired, server-side navigation system navigation software (such as Baidu map) city according to the map Area's road network information obtains the shortest optimal route of time-consuming between departure place and destination, utilizes the navigation function of digital map navigation software It can be carried out navigation.Specifically, being patrolled when departure place and destination are all at city using network map datas such as Baidu maps Layout of roads is examined, planning route is as shown in Figure 2.Since the initial position of this route and target position are all in city, Baidu map Equal network map datas are fairly perfect, so this route can serve as final inspection route, in mobile terminal, the map of installation is soft It navigates on part.
Second: when departure place is in city, destination mainly includes the following steps: at suburb
(1) navigation software (such as Baidu map) City Road Network information, analysis are obtained apart from suburb destination according to the map The point in three nearest cities;
(2) by the analysis to suburb historical track, each intersection is abstracted into a node object;
(3) node object being abstracted into is connected one by one in the form of line, forms suburb road network;
(4) it is analyzed by the calculating to suburb road network, it is time-consuming most short to show that each city point of 3 city points arrives at the destination Optimal route;
(5) time-consuming shortest suburb optimal route is filtered out from the optimal route of three points;
(6) the suburb road network of city part route and generation splice and generate the topological file for having topological relation or write Enter Traffic network database, and navigates in the map software of mobile terminal installation.
When departure place is in city, destination carries out inspection route at suburb, using network map datas such as Baidu maps Planning, planning route are as shown in Figure 3.Inspection turn-by-turn navigation is carried out using network map, layout of roads is as shown in figure 4, from figure It can be seen that some in layout of roads can not carry out, there is layout of roads loss.Inspection route intelligent planning algorithm is by hundred Network map datas and the suburb inspection historical track road net data comprehensive analysis such as map are spent, the inquiry data inputted according to user Line optimization is carried out with historical track, as shown in Figure 5.The inspection route intelligent planning algorithm invented using this paper, utilizes net Network navigation data is in conjunction with actual electric network equipment routing inspection data, the complete inspection navigation circuit of intelligent planning, ties as shown in Figure 6 Fruit.
The third: when departure place and destination are all at suburb, mainly including the following steps::
(1) by the analysis to suburb historical track, each crossroad is abstracted as a node object;
(2) these node objects are connected in a manner of line, generates the road network file or road network for having topological relation Database forms suburb road network;
(3) it is analyzed by the calculating to suburb road network, obtains time-consuming shortest optimal route from origin to destination;And It navigates in the map software of mobile terminal installation.
Grid equipment inspection route Intelligent planning method can save the inspection route historical track of user, and the present invention is to suburb Route is handled, and the historical track track data of all preservations is inquired, at all recent history inspection route tracks Reason obtains suburb road network, then calculates analysis and obtains optimal route, to obtain navigation routine.
The specific implementation step of suburb road network:
(1) spatial overlay analysis is carried out to original inspection historical track track data, generates crossover node and route point Segment information.
(2) topological inspection is carried out to line sectionalizing information and cutting is handled, removal invalid data and interference data.
(3) to the inspection historical track line sectionalizing data creation topological relation after cutting, and its attributive character is defined, such as Road name, length, category of roads etc.;
(4) the road network topology model in suburb is constituted by crossover node and line sectionalizing data and its topological relation.
(5) topological file or Traffic network database is written into above-mentioned suburb road network topology model, is patrolled for subsequent suburb Inspection navigation.
(6) with the progress of inspection, more historical trajectory datas is had and are generated.System according to period regular time, Processing is re-started to all historical trajectory datas and generates new suburb road network topology data.
With the increase of inspection number, the data of suburb inspection historical track can be more and more abundant, is based on this inspection history The road network of track also can be more and more perfect, and the route planning of suburb inspection also can more and more rationally.
When departure place and destination are all in suburb, inspection layout of roads is carried out using network map datas such as Baidu maps, Plan that route as shown in fig. 7, can be seen that in suburb can not carry out, layout of roads loss occurs, can not navigate.Utilize this All historical navigation routes are carried out comprehensive analysis, are inputted according to user by the inspection route intelligent planning algorithm that text is invented Inquiry data and historical track carry out line optimization, as shown in figure 8, dotted line be historical track;By all historical tracks into Row analysis, obtains optimal navigation routine, as shown in Figure 9.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any Belong to those skilled in the art in the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of, all answers It is included within the scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.

Claims (4)

1. a kind of grid equipment inspection route Intelligent planning method, it is characterised in that include the following steps: that mobile terminal receives search Searching request is sent to server-side navigation system by request, and server-side navigation system obtains the departure place for including in searching request And destination-address, when judging departure place and destination all at city, server-side navigation system directly gives city inspection road Line is simultaneously sent to mobile terminal;When departure place is in city, at suburb, route is divided into two by server-side navigation system for destination Point, city inspection route is provided in city part, suburb part obtains suburb road using all recent navigation history alignment analysis Two parts route is combined to calculate optimal route and provides integrated navigation route, and be sent to mobile terminal by net information; When departure place and destination are all at suburb, server-side navigation system analyzes the history that all recent departure places are consistent with destination Navigation routine obtains suburb road network information, to calculate optimal navigation routine, and is sent to mobile terminal.
2. grid equipment inspection route Intelligent planning method as described in claim 1, it is characterised in that: when departure place and purpose Ground all at city, mainly includes the following steps: to inquire City Road Network route, according to the map navigation software City Road Network Information obtains the shortest optimal route of time-consuming between departure place and destination, is carried out using the navigation feature of digital map navigation software Navigation.
3. grid equipment inspection route Intelligent planning method as described in claim 1, it is characterised in that: when departure place is in city Area, destination mainly include the following steps: at suburb
(1) navigation software City Road Network information, analysis obtain the point in three cities nearest apart from suburb destination according to the map;
(2) by the analysis to suburb historical track, each intersection is abstracted into a node object;
(3) node object being abstracted into is connected one by one in the form of line, forms suburb road network;
(4) it is analyzed by the calculating to suburb road network, it is shortest most to show that each city point of 3 city points arrives at the destination time-consuming Major path;
(5) time-consuming shortest suburb optimal route is filtered out from the optimal route of three points;
(6) the suburb road network of city part route and generation is subjected to splicing and generates the topological file for having topological relation or write-in road Grid database, and navigate on map.
4. grid equipment inspection route Intelligent planning method as described in claim 1, it is characterised in that: when departure place and purpose Ground all at suburb, mainly includes the following steps:
(1) by the analysis to suburb historical track, each crossroad is abstracted as a node object;
(2) these node objects are connected in a manner of line, generates the road network file or road net data for having topological relation Library forms suburb road network;
(3) it is analyzed by the calculating to suburb road network, obtains time-consuming shortest optimal route from origin to destination, and on ground It navigates on figure.
CN201811242809.XA 2018-10-24 2018-10-24 A kind of grid equipment inspection route Intelligent planning method Pending CN109269505A (en)

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CN110221608A (en) * 2019-05-23 2019-09-10 中国银联股份有限公司 A kind of method and device of inspection device
CN110261736A (en) * 2019-06-26 2019-09-20 国网青海省电力公司西宁供电公司 A kind of the inspection navigation system and method for electric power line pole tower
CN110532327A (en) * 2019-08-22 2019-12-03 深圳供电局有限公司 A kind of artificial intelligence power network line planing method
CN111829541A (en) * 2020-06-28 2020-10-27 中铁第一勘察设计院集团有限公司 High-speed railway access door navigation method and navigation device
CN112710319A (en) * 2019-10-24 2021-04-27 北京四维图新科技股份有限公司 Map data acquisition path planning method, device, equipment and storage medium
CN113124892A (en) * 2019-12-31 2021-07-16 华为技术有限公司 Method and device for processing navigation information
CN113505945A (en) * 2021-08-05 2021-10-15 上海中通吉网络技术有限公司 BD card punching and shop visiting method for maintaining customer relationship and supervising BD personnel
CN113834489A (en) * 2020-06-23 2021-12-24 中国移动通信集团辽宁有限公司 Navigation path planning method and device

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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110221608A (en) * 2019-05-23 2019-09-10 中国银联股份有限公司 A kind of method and device of inspection device
CN110221608B (en) * 2019-05-23 2021-10-01 中国银联股份有限公司 Method and device for inspecting equipment
CN110261736A (en) * 2019-06-26 2019-09-20 国网青海省电力公司西宁供电公司 A kind of the inspection navigation system and method for electric power line pole tower
CN110532327A (en) * 2019-08-22 2019-12-03 深圳供电局有限公司 A kind of artificial intelligence power network line planing method
CN110532327B (en) * 2019-08-22 2023-04-18 深圳供电局有限公司 Artificial intelligent power grid line planning method
CN112710319A (en) * 2019-10-24 2021-04-27 北京四维图新科技股份有限公司 Map data acquisition path planning method, device, equipment and storage medium
CN112710319B (en) * 2019-10-24 2023-11-14 北京四维图新科技股份有限公司 Map data acquisition path planning method, device, equipment and storage medium
CN113124892A (en) * 2019-12-31 2021-07-16 华为技术有限公司 Method and device for processing navigation information
CN113834489A (en) * 2020-06-23 2021-12-24 中国移动通信集团辽宁有限公司 Navigation path planning method and device
CN111829541A (en) * 2020-06-28 2020-10-27 中铁第一勘察设计院集团有限公司 High-speed railway access door navigation method and navigation device
CN113505945A (en) * 2021-08-05 2021-10-15 上海中通吉网络技术有限公司 BD card punching and shop visiting method for maintaining customer relationship and supervising BD personnel

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