CN106595630B - It is a kind of that drawing system and method are built based on laser navigation Intelligent Mobile Robot - Google Patents

It is a kind of that drawing system and method are built based on laser navigation Intelligent Mobile Robot Download PDF

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Publication number
CN106595630B
CN106595630B CN201510662540.0A CN201510662540A CN106595630B CN 106595630 B CN106595630 B CN 106595630B CN 201510662540 A CN201510662540 A CN 201510662540A CN 106595630 B CN106595630 B CN 106595630B
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robot
laser
intelligent mobile
laser radar
mobile robot
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CN106595630A (en
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孔令文
田晓璐
刘加科
秦振华
孙凯
付崇光
孙志周
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Shandong Luneng Intelligence Technology Co Ltd
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Shandong Luneng Intelligence Technology Co Ltd
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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

Abstract

Drawing system and method are built based on laser navigation Intelligent Mobile Robot the invention discloses a kind of, system includes laser radar, industrial personal computer, GPS module and vision module, wherein, laser radar and GPS module are set on inspection machine human body, visual apparatus is set to inspection machine human body front end, industrial personal computer acquires visual apparatus to the grabgraf of environment, two adjacent images are compared, the course angle of analysis robot, laser radar is by the range information of acquisition, the coordinate information that GPS module will acquire is transferred to industrial personal computer, range information is converted 2 d plane picture by industrial personal computer, and plan view is rotated to course angle identical as robot to the map for obtaining the current neighboring area of robot.The present invention, which builds drawing method using the substation of GPS, vision and laser radar based on laser navigation Intelligent Mobile Robot, can fill up the deficiency that existing substation builds figure mode, improve the precision and speed for building figure, reduce manpower consumption.

Description

It is a kind of that drawing system and method are built based on laser navigation Intelligent Mobile Robot
Technical field
Drawing system and method are built based on laser navigation Intelligent Mobile Robot the present invention relates to a kind of.
Background technique
It is the necessary links before the operation of laser navigation Intelligent Mobile Robot that substation, which builds figure, mainly by the ground of substation Figure is precisely recorded in detail and by way of data as far as possible.Laser navigation Intelligent Mobile Robot using the map with The peripheral information that laser radar obtains in real time compares, and determines laser navigation Intelligent Mobile Robot position by location algorithm It sets.So the precision of Suo Jian substation map is most important for the navigator fix of laser navigation Intelligent Mobile Robot.
It includes with several that existing substation, which builds drawing method:
1. substation is built figure and drawn mostly using artificial now, by total station, meter ruler and laser range finder are carried out manually Mapping;But artificial drafting is used, biggish error can be generated, to laser navigation Intelligent Mobile Robot positioning accuracy and is led Boat effect has an impact, while artificial draw can also expend a large amount of manpowers and time cost;
2. being acquired jointly using the laser radar and encoder being installed on laser navigation Intelligent Mobile Robot ontology Data, the later period is by data fusion, to generate substation's map, substation's map that this mode generates can generate biggish tired Product error, causes part-toroidal road that can not be closed;
3. building figure equipment using three-dimensional and setting multiple spot in substation and be scanned and build figure, three-dimensional map is passed through software by the later period The data for splicing stationary point scanning, also need two dimension needed for converting three-dimensional map to laser navigation Intelligent Mobile Robot later Substation's map, needs to buy the three-dimensional special equipment for building figure, and somewhat expensive needs to carry out zonule every a distance to build Figure, later period need to splice map by software, need to take considerable time acquisition data.
Summary of the invention
The present invention to solve the above-mentioned problems, proposes and a kind of builds figure system based on laser navigation Intelligent Mobile Robot System and method, this method are built using the substation of GPS, vision and laser radar based on laser navigation Intelligent Mobile Robot Drawing method can fill up the deficiency that existing substation builds figure mode, improve the precision and speed for building figure, reduce manpower consumption.This Method can eliminate the cumulative errors generated in encoder collection process, make the perfect closure of the substation finally obtained figure.
To achieve the goals above, the present invention adopts the following technical scheme:
A kind of drawing system of building based on laser navigation Intelligent Mobile Robot, including laser radar, industrial personal computer, GPS mould Block and vision module, wherein laser radar and GPS module are set on inspection machine human body, and visual apparatus is set to inspection Robot body front end, industrial personal computer acquire visual apparatus to the grabgraf of environment, two adjacent images are compared, and analyze machine The coordinate information that the range information of acquisition, GPS module will acquire is transferred to industrial personal computer, industry control by the course angle of people, laser radar Range information is converted 2 d plane picture by machine, and plan view is rotated to course angle identical as robot to obtain robot The map of current neighboring area.
The drawing system of building includes multiple groups crusing robot, and received laser data is transferred to by industrial personal computer with course data Host computer obtains substation's map in conjunction with the GPS information of each crusing robot.
The vision module carries out grabgraf to environment with fixed frequency, and sends image to industrial personal computer by LAN interface.
The coordinate that the GPS module will acquire is sent to laser navigation substation by RS232 interface with fixed frequency and patrols Examine the industrial personal computer of robot.
The laser radar is sent to industrial personal computer with the distance in fixed frequency acquisition radar sector.
It is a kind of that drawing method is built based on above system, comprising the following steps:
(1) Intelligent Mobile Robot receives patrol task, travels according to fixed route;
(2) Intelligent Mobile Robot is in the process of moving with fixed sample frequency recording laser radar, GPS data with And visual apparatus image;
(3) distance of laser radar is mapped in rectangular coordinate system, vision module is being sensed by capturing distant objects Displacement on device, calculates the course angle variation of every two frame sampling of transformer substation robot, and machine is obtained by way of integral The current course angle of device people;
(4) GPS module recorder people current position coordinates, and with visual apparatus obtain course angle and mapping after swash Optical radar Data Integration completes the zonule cloud point map in frame data substation;
(5) multiframe data are merged, obtains the cloud point map in built region.
In the step (3), if in n-th and (n+1)th image, the displacement of characteristic area in the X-axis direction is Δ X, Robot current location is obtained by GPS and is calculated apart from object of reference distance D, then by antitrigonometric function, calculates machine The course angle of every two images of device people changes:
It asks method identical adjacent two angle changes later, the accumulation of each angle change is just obtained into current robot boat To:
In the step (4), method particularly includes:
In above formula, Xn, Yn are that n-th of laser radar range data is mapped in the coordinate in rectangular coordinate system;dnIt is n-th Distance of the laser radar data away from substation's object;Start angle when ω is laser radar scanning;N is laser radar distance letter The serial number of breath, i.e., each frame laser data share n range information;θ is laser radar angular resolution, and α is robot course Angle, XGPS and YGPS are the environment coordinate of robot current location.
In the step (5), cloud point map can be converted into the map or image of arbitrary format.
The invention has the benefit that
(1) substation of the GPS based on laser navigation Intelligent Mobile Robot, vision and laser radar is used to build figure side Method can fill up the deficiency that existing substation builds figure mode, improve the precision and speed for building figure, reduce manpower consumption;
(2) relative to using building figure mode and can eliminating and generate in encoder collection process for laser radar and encoder Cumulative errors make the perfect closure of the substation finally obtained figure;
(3) figure zonule stationary point is built relative to three-dimensional build figure and later period manually spliced by software.
Detailed description of the invention
Fig. 1 is the structural diagram of the present invention;
Fig. 2 is that the present invention uses laser radar and encoder to build diagram intention;
Fig. 3 is that GPS, vision and the laser radar that the present invention uses build diagram intention;
Fig. 4 is two figures that vision module of the invention captures.
Wherein, 1.GPS module;2. laser radar;3. visual apparatus;4. laser navigation Intelligent Mobile Robot ontology.
Specific embodiment:
The invention will be further described with embodiment with reference to the accompanying drawing.
As shown in Figure 1, the substation of the GPS of laser navigation Intelligent Mobile Robot, vision and laser radar build figure side Method, it includes the Intelligent Mobile Robot that laser radar is housed, and robot is provided with industrial personal computer, GPS module, vision mould Block and laser radar.
Intelligent Mobile Robot equipped with laser radar has the function of remote controlled travelling.
GPS module is linked with industrial personal computer using RS232 interface.
Vision module and laser radar are connected with industrial personal computer by LAN interface.
Laser navigation Intelligent Mobile Robot need to be made in institute when building figure using the Intelligent Mobile Robot of laser navigation Graph region traveling need to be built, GPS, vision module and laser radar will acquire data simultaneously at this time.The coordinate that GPS is obtained is with solid Determine frequency to be sent to by RS232 interface in the industrial personal computer of laser navigation Intelligent Mobile Robot, vision module and laser thunder Up to will be installed on the ontology of laser navigation Intelligent Mobile Robot, and pass through LAN interface and industrial computer communication.In robot During transporting function, vision module carries out grabgraf to environment with fixed frequency, and sends image to industrial personal computer by LAN interface, Industrial personal computer will be compared two adjacent images by the method for pattern-recognition, and robot course angle, while laser are analyzed Radar is also sent to industrial personal computer with the distance in fixed frequency acquisition radar sector, and industrial personal computer converts two dimension for range information and puts down Face figure, and plan view is rotated to course angle identical as robot to the map for obtaining the current neighboring area of robot, in conjunction with Multiple groups robotic laser data and course data and GPS information can get substation's map.
As shown in Fig. 2, passing through the encoder and laser radar that are installed on laser navigation Intelligent Mobile Robot ontology Substation's map that acquisition data generate can generate biggish accumulated error, cause part-toroidal road that can not be closed.It can be to machine Device people's later period, which navigates, to be caused to seriously affect, if robot location's loss and positional fault position, since map integrally distorts, for The line walking line configuring being convenient for also brings along inconvenience, and executing robot patrol task using non-type map but will be to substation Fortune operates normally and brings security risk.
As shown in figure 3, the map for building drawing system and method generation of laser navigation Intelligent Mobile Robot, inspection route Closure is well consistent with substation's actual environment height, and the contour of object in surrounding enviroment is obvious, to ensure that substation patrols The running precision for examining robot reduce or eliminates robot location's loss and positional fault positioning probability, while being also more convenient for Line walking line configuring.
It is a kind of that drawing method is built based on above system, comprising the following steps:
(1) Intelligent Mobile Robot receives patrol task, travels according to fixed route;
(2) Intelligent Mobile Robot is in the process of moving with fixed sample frequency recording laser radar, GPS data with And visual apparatus image;
(3) distance of laser radar is mapped in rectangular coordinate system, vision module is by capturing object of reference and passing through mould The method of Corner Detection extracts characteristic area in formula identification, and calculates displacement of the characteristic area in visual sensor, specific side Method are as follows:
It is assumed that A, B be shooting n-th and (n+1)th image, the characteristic matching of A, B kind characteristic area, Δ X is characterized the displacement of region in the X-axis direction.Pass through GPS obtain robot current location and calculate apart from object of reference away from From D, then by antitrigonometric function, the course angle variation of every two images of robot is calculated:
It asks method identical adjacent two angle changes later, the accumulation of each angle change is obtained with current robot Course:
(4) GPS module recorder people current position coordinates, and with visual apparatus obtain course angle and mapping after swash Optical radar Data Integration completes the zonule cloud point map in frame data substation;
(5) the cloud point map in built region is obtained, method particularly includes:
In step (5), method particularly includes:
In above formula, Xn, Yn are that n-th of laser radar range data is mapped in the coordinate in rectangular coordinate system;dnIt is n-th Distance of the laser radar data away from substation's object;Start angle when ω is laser radar scanning;N is laser radar distance letter The serial number of breath, i.e., each frame laser data share n range information;θ is laser radar angular resolution, and α is robot course Angle, XGPS and YGPS are the environment coordinate of robot current location.
In step (5), cloud point map can be converted into the map or image of arbitrary format.
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.

Claims (7)

1. a kind of drawing method of building for building drawing system based on laser navigation Intelligent Mobile Robot, laser navigation substation inspection The drawing system of building of robot includes laser radar, industrial personal computer, GPS module and vision module, wherein laser radar and GPS module It is set on inspection machine human body, visual apparatus is set to inspection machine human body front end, and industrial personal computer acquires visual apparatus pair The grabgraf of environment compares two adjacent images, the course angle of analysis robot, and laser radar believes the distance of acquisition The coordinate information that breath, GPS module will acquire is transferred to industrial personal computer, and range information is converted 2 d plane picture by industrial personal computer, and will Plan view is rotated to course angle identical as robot to obtain the map of the current neighboring area of robot, it is characterized in that: including Following steps:
(1) Intelligent Mobile Robot receives patrol task, travels according to fixed route;
(2) Intelligent Mobile Robot is in the process of moving with fixed sample frequency recording laser radar, GPS data and view Feel equipment image;
(3) distance of laser radar is mapped in rectangular coordinate system, vision module is by capturing distant objects on a sensor Displacement, calculate the course angle variation of every two frame sampling of transformer substation robot, and obtain robot by way of integral Current course angle;
In the step (3), if in n-th and (n+1)th image, the displacement of characteristic area in the X-axis direction is Δ X, pass through GPS obtains robot current location and calculates apart from object of reference distance D, then by antitrigonometric function, calculates robot The course angle of every two images changes:
It asks method identical adjacent two angle changes later, the accumulation of each angle change is just obtained into current robot course:
(4) GPS module recorder people current position coordinates, and the laser thunder after course angle and mapping is obtained with visual apparatus Up to Data Integration, the zonule cloud point map in frame data substation is completed;
(5) multiframe data are merged, obtains the cloud point map in built region.
2. it is as described in claim 1 it is a kind of based on laser navigation Intelligent Mobile Robot build drawing system build drawing method, It is characterized in that: building drawing system includes multiple groups crusing robot, received laser data and course data are transferred to by industrial personal computer Position machine obtains substation's map in conjunction with the GPS information of each crusing robot.
3. it is as described in claim 1 it is a kind of based on laser navigation Intelligent Mobile Robot build drawing system build drawing method, It is characterized in that: the vision module carries out grabgraf to environment with fixed frequency, and image is sent to industry control by LAN interface Machine.
4. it is as described in claim 1 it is a kind of based on laser navigation Intelligent Mobile Robot build drawing system build drawing method, It is characterized in that: the coordinate that the GPS module will acquire is sent to laser navigation substation by RS232 interface with fixed frequency and patrols Examine the industrial personal computer of robot.
5. it is as described in claim 1 it is a kind of based on laser navigation Intelligent Mobile Robot build drawing system build drawing method, It is characterized in that: the laser radar is sent to industrial personal computer with the distance in fixed frequency acquisition radar sector.
6. it is as described in claim 1 it is a kind of based on laser navigation Intelligent Mobile Robot build drawing system build drawing method, It is characterized in that: in the step (4), method particularly includes:
In above formula, Xn, Yn are that n-th of laser radar range data is mapped in the coordinate in rectangular coordinate system;dnFor n-th of laser Distance of the radar data away from substation's object;Start angle when ω is laser radar scanning;N is laser radar range information Serial number, i.e., each frame laser data share n range information;θ is laser radar angular resolution, and α is robot course angle, XGPS and YGPS is the environment coordinate of robot current location.
7. it is as described in claim 1 it is a kind of based on laser navigation Intelligent Mobile Robot build drawing system build drawing method, It is characterized in that: cloud point map can be converted into the map or image of arbitrary format in the step (5).
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Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107193283A (en) * 2017-07-27 2017-09-22 青岛诺动机器人有限公司 The mobile robot and its operating method of a kind of independent navigation
CN107478318B (en) * 2017-08-02 2019-11-15 深圳钰湖电力有限公司 A kind of vibration measuring control method of crusing robot system
CN108181636B (en) * 2018-01-12 2020-02-18 中国矿业大学 Environment modeling and map building device and method for petrochemical plant inspection robot
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CN109882244B (en) * 2019-03-29 2021-06-11 安徽延达智能科技有限公司 Intelligent map building system of underground inspection robot
CN110376591A (en) * 2019-06-12 2019-10-25 沈阳理工大学 Transformer crusing robot positioning system and localization method
CN110261871B (en) * 2019-06-18 2023-09-22 中国矿业大学 Comprehensive mining working face rapid inspection device based on laser radar imaging
CN110471422A (en) * 2019-08-29 2019-11-19 南京理工大学 The detection of obstacles and automatic obstacle avoiding method of intelligent wheel chair
CN110436093A (en) * 2019-09-16 2019-11-12 福建工程学院 A kind of rubbish cleaning classification vehicle and rubbish clear up classification method
CN111061274A (en) * 2019-12-27 2020-04-24 广东电网有限责任公司 Traveling system of archive management robot
CN111487642A (en) * 2020-03-10 2020-08-04 国电南瑞科技股份有限公司 Transformer substation inspection robot positioning navigation system and method based on three-dimensional laser and binocular vision
CN111337030B (en) * 2020-05-19 2020-09-08 北京数字绿土科技有限公司 Backpack-based laser radar scanning system and navigation positioning method
CN111983631B (en) * 2020-08-17 2023-11-21 云南电网有限责任公司电力科学研究院 Snakelike electric power inspection robot positioning system for long and narrow airtight space
CN114217600A (en) * 2020-09-04 2022-03-22 南京国电南思科技发展股份有限公司 Robot-based intelligent inspection method and system for substation indoor protection screen cabinet
CN113267787A (en) * 2021-02-26 2021-08-17 深圳易行机器人有限公司 AGV accurate positioning system based on laser navigation and control method thereof
CN116698016B (en) * 2023-08-04 2023-10-20 西安交通大学 System and method for constructing miniature radar array in complex narrow space

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102183250A (en) * 2011-01-14 2011-09-14 湖南农业大学 Automatic navigation and positioning device and method for field road of agricultural machinery
CN102980555A (en) * 2012-12-06 2013-03-20 紫光股份有限公司 Method and device for detecting direction of optical imaging type wheeled mobile robot
CN104280036A (en) * 2013-07-05 2015-01-14 北京四维图新科技股份有限公司 Traffic information detection and positioning method, device and electronic equipment
CN104833354A (en) * 2015-05-25 2015-08-12 梁步阁 Multibasic multi-module network integration indoor personnel navigation positioning system and implementation method thereof
CN104848851A (en) * 2015-05-29 2015-08-19 山东鲁能智能技术有限公司 Transformer substation patrol robot based on multi-sensor data fusion picture composition and method thereof

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101739996B1 (en) * 2010-11-03 2017-05-25 삼성전자주식회사 Moving robot and simultaneous localization and map-buliding method thereof
US9080886B1 (en) * 2012-08-03 2015-07-14 Robotic Research, Llc System and method for urban mapping and positioning

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102183250A (en) * 2011-01-14 2011-09-14 湖南农业大学 Automatic navigation and positioning device and method for field road of agricultural machinery
CN102980555A (en) * 2012-12-06 2013-03-20 紫光股份有限公司 Method and device for detecting direction of optical imaging type wheeled mobile robot
CN104280036A (en) * 2013-07-05 2015-01-14 北京四维图新科技股份有限公司 Traffic information detection and positioning method, device and electronic equipment
CN104833354A (en) * 2015-05-25 2015-08-12 梁步阁 Multibasic multi-module network integration indoor personnel navigation positioning system and implementation method thereof
CN104848851A (en) * 2015-05-29 2015-08-19 山东鲁能智能技术有限公司 Transformer substation patrol robot based on multi-sensor data fusion picture composition and method thereof

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Distance and angle measurement of distant objects on an oblique plane based on pixel variation of CCD image;Ming-Chih Lu等;《IEEE》;20101231;1-5 *
Indoor radar SLAM A radar application for vision and GPS denied environments;Jan Willem Marck等;《Proceedings of the 43rd European Microwave Conference》;20131010;1783-1786 *

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