CN107507174A - Power plant's instrument equipment drawing based on hand-held intelligent inspection is as recognition methods and system - Google Patents
Power plant's instrument equipment drawing based on hand-held intelligent inspection is as recognition methods and system Download PDFInfo
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- 238000004164 analytical calibration Methods 0.000 claims abstract description 6
- 238000003707 image sharpening Methods 0.000 claims description 6
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1417—2D bar codes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/60—Rotation of whole images or parts thereof
- G06T3/608—Rotation of whole images or parts thereof by skew deformation, e.g. two-pass or three-pass rotation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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Abstract
The invention discloses a kind of power plant's instrument equipment drawing based on hand-held intelligent inspection as recognition methods and system.The technical solution adopted by the present invention includes：1) the instrumentation status image of high quality is rapidly and accurately gathered using the image-pickup method based on Quick Response Code matching, obtains position and the type information of inspection instrumentation, and the position deviation of instrument calibration equipment state image；2) type of instrumentation is obtained from the type information of the instrumentation 1) obtained, according to image recognition algorithm corresponding to different instrumentation type selectings, analyzing and processing instrumentation status image and identification equipment state.The present invention uses the image orientation and matching algorithm based on Quick Response Code, Quick Response Code can not only determine the positional information of inspection instrumentation, the type information of inspection instrumentation can also be determined, can so solve the complicated site environment of transformer station and the poor caused problem of handheld device precision well, there is good robustness and practicality.
Description
Technical field
The present invention relates to image identification technical field, particularly a kind of power plant's instrument equipment drawing based on hand-held intelligent inspection
As recognition methods and system.
Background technology
At present, the daily operation of China's major part power plant is recorded typically by the way of manual inspection by manual metering
Mode equipment fault investigation is carried out successively to each equipment in power plant.Because number of devices is huge, species is various, sets in power plant
Back-up cloth is very wide so that the workload of manual inspection is heavy, and the time of inspection is very long, so the human cost of manual inspection is very
High and effect is difficult to ensure that.In order to solve the problems, such as that manual inspection needs, in the case of existing equipment and instrument is not changed, from
Main inspection device is that solve one of this problem optimal path.It is high-definition camera that autonomous crusing robot is carried by it, red
The data acquisitions such as outer thermal imaging system identification obtains the status image of power plant's instrumentation, then passes through images match and recognizer
The status information of current device is identified, so as to judge whether current inspection device is in abnormality.
The camera that autonomous crusing robot carries has distant distance apart from power plant's instrumentation, in remote feelings
Under condition, slight imaging angle deviation can all cause the instrumentation image of collection to produce larger distortion, so to navigation
Required precision is very high.But under the complicated outdoor environment constraint of power plant, current airmanship is difficult to meet to require, so
The instrumentation picture quality of collection is typically difficult to ensure that so that the follow-up image recognition degree of accuracy is relatively low.Meanwhile in face of power plant
Species is various, the instrumentation of substantial amounts, and the current operation of all operational outfits is judged by a kind of image recognition algorithm
State is difficult to realize, it is necessary to use corresponding graphical analysis and recognizer for the instrumentation of each type.But mesh
Preceding autonomous crusing robot is typically manually entered meter number to obtain type information, adds human cost and can not
Realize real-time.In addition, the demarcation of meter location and at present autonomous crusing robot image procossing and one in identification module
Individual difficult point.On the basis of automatic crusing robot, it is following development trend to study hand-held intelligent patrol detection equipment, but to navigation
The precision of positioning, image-recognizing method etc. propose new challenge.
The content of the invention
The technical problems to be solved by the invention are the defects of overcoming above-mentioned prior art to exist, there is provided one kind can be quick
Power plant's instrument equipment drawing of high quality equipment state image is gathered exactly as recognition methods.
Therefore, the technical solution adopted by the present invention is：Instrument equipment drawing picture identification side of power plant based on hand-held intelligent inspection
Method, it comprises the following steps：
1) the instrumentation status image of high quality is rapidly and accurately gathered using the image-pickup method based on Quick Response Code matching,
Obtain position and the type information of inspection instrumentation, and the position deviation of instrument calibration equipment state image；
2) type information of the instrumentation obtained from step 1) obtains the type of instrumentation, according to different instrumentation classes
Image processing algorithm corresponding to type selection, analyzing and processing instrumentation status image and identification equipment state.
Further, step 1) comprises the following steps a1)-a3)：
A1) before patrol task is started, the Quick Response Code of suitable size, Quick Response Code and instrumentation side are puted up near instrumentation
Face keeping parallelism；After starting patrol task, camera acquisition instrument equipment state image is utilized；
A2) hand-held intelligent inspection machine uses the camera of autozoom, when Quick Response Code is in the instrumentation status image of collection
In and the image of collection is preserved when can identify, otherwise change camera site and re-start collection image；By identifying in image
Quick Response Code, obtain the type information of the current operational outfit stored in Quick Response Code positional information and inclination angle S1 and Quick Response Code；
A3) according to a2) in obtained Quick Response Code inclination angle S1, the instrumentation status image of collection is rotated into S1, corrected
Instrumentation status image afterwards；Then, according to the geometric position information of priori between Quick Response Code and inspection instrumentation, it is determined that
The positional information of inspection instrumentation.
Further, energy is identified in order to which image recognition algorithm rapidly can be had to different types of instrumentation
Power, need before ONLINE RECOGNITION to carry out off-line learning；
During off-line learning, for the instrumentation template image of collection, pre-processed first, pretreatment include image denoising,
Image sharpening and image enhaucament；Then according to the type of Quick Response Code recognition result acquisition instrumentation and instrumentation in image
In particular location be instrument positioning；Next the characteristic information of instrumentation is obtained；Ultimately produce the storage of template file information
It is connected in corresponding database table and using this information as parameter during ONLINE RECOGNITION, wherein database table with Quick Response Code
Connect, pass through Quick Response Code recognition result access templates information during ONLINE RECOGNITION.
Further, during ONLINE RECOGNITION, for the instrumentation status image of collection, pre-processed, pre-processed first
Including image denoising, image sharpening and image enhaucament；Then the Template Information of instrumentation is obtained according to Quick Response Code recognition result
It is instrument positioning with the particular location of type and instrumentation in the picture；Finally image recognition algorithm corresponding to selection is to instrument
Table image is identified, and recognition result is exported.
Based on the thought of " off-line learning, ONLINE RECOGNITION ", to solve the fast of polytype multi-pointers meter equipment in power plant
Fast identification problem.
It is a further object of the present invention to provide a kind of power plant's instrument equipment drawing based on hand-held intelligent inspection as identifying system,
Including：
Instrumentation status image acquisition module：Height is rapidly and accurately gathered using based on the image-pickup method that Quick Response Code matches
The instrumentation status image of quality, obtain position and the type information of inspection instrumentation, and instrument calibration equipment state figure
The position deviation of picture；
Data obtaining module：Position and the type information of inspection instrumentation, and rectifier are obtained from instrumentation status image
The position deviation of table equipment state image；
Select image recognition algorithm module：According to image recognition algorithm corresponding to different instrumentation type selectings, at analysis
Manage instrumentation status image and identification equipment state.
Compared to prior art, the device have the advantages that as follows：Due to the unstability of handheld device, it is difficult to obtain
Power plant's instrument equipment drawing picture of high quality is taken, the present invention uses the image orientation and matching algorithm based on Quick Response Code, and Quick Response Code is not only
The positional information of inspection instrumentation is can determine, the type information of inspection instrumentation can also be determined, so can be fine
Ground solves the complicated site environment of transformer station and the poor caused problem of handheld device precision, has good robustness and reality
The property used.Meanwhile for power plant's species is cumbersome, equipment instrument of substantial amounts, a set of rational instrumentation state diagram is formulated
As analyzing and processing and the method for state recognition.The present invention can be directed to the equipment Instrument image of each type, and design is realized corresponding
Image recognition algorithm, whether the status information for detecting operational outfit occur exception.
Brief description of the drawings
Fig. 1 is IMAQ flow chart of the present invention based on Quick Response Code matching；
Fig. 2 is instrumentation status image off-line learning flow chart of the present invention；
Fig. 3 is instrumentation status image ONLINE RECOGNITION flow chart of the present invention.
Embodiment
In order to more specifically describe the present invention, below in conjunction with the accompanying drawings and embodiment is to technical scheme
It is described in detail.Obviously, described embodiment is only the section Example of the present invention, rather than whole embodiments.
Embodiment 1
Power plant's instrument equipment drawing based on hand-held intelligent inspection that the present embodiment proposes includes being based on Quick Response Code as recognition methods
The image-pickup method matched somebody with somebody and the corresponding recognizer for different device types.IMAQ side based on Quick Response Code matching
The running status image of the significantly more efficient collecting device of method energy, and the position of equipment in the picture is quickly and accurately positioned, have
Good robustness, can preferably adapt to power plant's outdoor environment of complexity, and overcome handheld device steady in image acquisition process
The problem of qualitative poor.Meanwhile design different image processing and analyzings and recognizer, energy for different instrumentation types
Preferably meet the requirement of different classes of instrumentation identification, improve the accuracy rate of identification, and overcome the complicated outdoor of power plant
The influence that environment is brought to instrumentation identification, such as the problems such as illumination deficiency, collection image angle deviation.
1) image-pickup method based on Quick Response Code matching
Two-dimensional bar code is a kind of bar code in two-dimensional space storage information both horizontally and vertically.Two-dimensional bar code is as important
One of automatic data collection and identification technology, the black and white that certain rule is distributed in two dimensional surface is followed using specific geometric figure
Alternate graphic recording data symbol information.The advantages of Quick Response Code is density of encoding height, and information capacity is big, and can be departed from externally
The dependence independent work of portion's database；Error correcting capability is provided simultaneously with, in the same old way can be with when causing local damage because perforating, being stained etc.
It is correctly obtained recognition.
When gathering image using hand-held intelligent inspection machine, due to it is hand-held when shake, inspection machine bulk mechanical structure,
The factors such as power plant's road environment, it can cause inspection machine position and photo angle that deviation occurs to a certain extent, cause to gather
Image fails.In addition, staff's camera lens of the part hand-held inspection machine of instrumentation distance to be inspected is farther out so that waits to patrol
The equipment instrument of inspection deviates from the image that actually photographed, and also results in IMAQ failure.
In order to solve problem above, the present invention proposes the image-pickup method based on Quick Response Code matching.Concretely comprise the following steps：
A1) before patrol task is started, the Quick Response Code of suitable size is puted up near instrumentation, the plane where Quick Response Code with
Equipment side keeping parallelism；After starting patrol task, camera acquisition instrument equipment drawing picture is utilized；
A2) hand-held intelligent inspection machine uses the camera of autozoom, when Quick Response Code in the Instrument image of collection and can be known
The image of collection is preserved when other, otherwise changes camera site and re-starts collection image；By identifying the Quick Response Code in image, obtain
Obtain the type information of the current operational outfit stored in Quick Response Code positional information and inclination angle S1 and Quick Response Code；
A3) according to a2) in obtained Quick Response Code inclination angle S1, the inspection instrument equipment drawing picture of collection is rotated into S1, corrected
Inspection Instrument image afterwards；Then, according to the geometric position information of priori between Quick Response Code and inspection instrument, it may be determined that inspection
The positional information of instrumentation.
The present embodiment uses the image-pickup method based on Quick Response Code matching, can be true according to online Quick Response Code recognition result
Whether the instrumentation image of collection meets to require before settled, while can correct collection image by Quick Response Code recognition result
Tilt, determine the positional information and type information of inspection instrumentation, there is good robustness and practicality.Algorithm it is specific
Flow is as shown in Figure 1.
2) it is directed to the image recognition algorithm of different device types
Power plant's instrumentation acquisition method based on Quick Response Code matching is utilized in 1), the accurate equipment of high quality can be obtained
Status information image, and obtain inspection instrumentation particular location in the picture and device type.Then according to logging
The different type of table equipment, image recognition algorithm corresponding to selection, analyzing and processing status information of equipment image and identification equipment shape
State.Based on the thought of " off-line learning, ONLINE RECOGNITION ", to solve the quick identification of polytype multi-pointers meter equipment in power plant
Problem.
In order to allow image recognition algorithm quickly to have recognition capability to different types of instrument, needed before ONLINE RECOGNITION
Carry out off-line learning.During off-line learning, for the instrumentation template image of collection, pre-processed first, pretreatment bag
Include image denoising, image sharpening and image enhaucament etc.；Then according to Quick Response Code recognition result obtain instrumentation type and
The particular location of instrumentation in the picture is instrument positioning；Next the characteristic information of instrumentation is obtained, such as pointer class instrument
The information such as minimum and maximum scale, pointer center, dial plate radius, the graduation mark of liquid level class instrument of table；Ultimately produce template text
Part information is stored in corresponding database table and using this information as parameter during ONLINE RECOGNITION, wherein database table and two
Code-phase connection is tieed up, Quick Response Code recognition result access templates information can be passed through during ONLINE RECOGNITION.The specific operation stream of off-line learning
Journey is as shown in Figure 2.
During ONLINE RECOGNITION, for the instrumentation status image of collection, pre-processed first, pre-process and gone including image
Make an uproar, image sharpening and image enhaucament etc.；Then according to Quick Response Code recognition result obtain instrumentation Template Information and type with
And the particular location of instrumentation in the picture is instrument positioning；Finally image recognition algorithm corresponding to selection enters to Instrument image
Row identification, and recognition result is exported.The specific operating process of ONLINE RECOGNITION is as shown in Figure 3.
Based on the present embodiment propose instrumentation image recognition flow, can by species in power plant various, substantial amounts
Instrumentation classified, suitable image procossing and recognizer are then chosen according to different meter type, identified
The current state information of instrumentation.
Embodiment 2
The present embodiment provides a kind of power plant's instrument equipment drawing based on hand-held intelligent inspection as identifying system, including：
Instrumentation status image acquisition module：Height is rapidly and accurately gathered using based on the image-pickup method that Quick Response Code matches
The instrumentation status image of quality, obtain position and the type information of inspection instrumentation, and instrument calibration equipment state figure
The position deviation of picture；
Data obtaining module：Position and the type information of inspection instrumentation, and rectifier are obtained from instrumentation status image
The position deviation of table equipment state image；
Select image recognition algorithm module：According to image recognition algorithm corresponding to different instrumentation type selectings, at analysis
Manage instrumentation status image and identification equipment state.
Particular embodiments described above, the purpose of the present invention, technical scheme and beneficial effect are carried out further
Describe in detail, it will be appreciated that the foregoing is only the specific embodiment of the present invention, the protection being not intended to limit the present invention
Scope.Particularly point out, to those skilled in the art, within the spirit and principles of the invention, that is done any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (5)
1. power plant's instrument equipment drawing based on hand-held intelligent inspection is as recognition methods, it is characterised in that comprises the following steps：
1) the instrumentation status image of high quality is rapidly and accurately gathered using the image-pickup method based on Quick Response Code matching,
Obtain position and the type information of inspection instrumentation, and the position deviation of instrument calibration equipment state image；
2) type information of the instrumentation obtained from step 1) obtains the type of instrumentation, according to different instrumentation classes
Image recognition algorithm corresponding to type selection, analyzing and processing instrumentation status image and identification equipment state.
2. power plant's instrument equipment drawing according to claim 1 is as recognition methods, it is characterised in that step 1) includes following step
Rapid a1)-a3)：
A1) before patrol task is started, the Quick Response Code of suitable size, Quick Response Code and instrumentation side are puted up near instrumentation
Face keeping parallelism；After starting patrol task, camera acquisition instrument equipment state image is utilized；
A2) hand-held intelligent inspection machine uses the camera of autozoom, when Quick Response Code is in the instrumentation status image of collection
In and the image of collection is preserved when can identify, otherwise change camera site and re-start collection image；By identifying in image
Quick Response Code, obtain the type information of the current operational outfit stored in Quick Response Code positional information and inclination angle S1 and Quick Response Code；
A3) according to a2) in obtained Quick Response Code inclination angle S1, the instrumentation status image of collection is rotated into S1, corrected
Instrumentation status image afterwards；Then, according to the geometric position information of priori between Quick Response Code and inspection instrumentation, it is determined that
The positional information of inspection instrumentation.
3. power plant's instrument equipment drawing according to claim 1 or 2 is as recognition methods, it is characterised in that in order to allow image to know
Other algorithm can rapidly have recognition capability to different types of instrumentation, need to carry out off-line learning before ONLINE RECOGNITION；
During off-line learning, for the instrumentation template image of collection, pre-processed first, pretreatment include image denoising,
Image sharpening and image enhaucament；Then according to the type of Quick Response Code recognition result acquisition instrumentation and instrumentation in image
In particular location be instrument positioning；Next the characteristic information of instrumentation is obtained；Ultimately produce the storage of template file information
It is connected in corresponding database table and using this information as parameter during ONLINE RECOGNITION, wherein database table with Quick Response Code
Connect, pass through Quick Response Code recognition result access templates information during ONLINE RECOGNITION.
4. power plant's instrument equipment drawing according to claim 3 is as recognition methods, it is characterised in that
During ONLINE RECOGNITION, for the instrumentation status image of collection, pre-processed first, pretreatment include image denoising,
Image sharpening and image enhaucament；Then the Template Information and type and instrument of instrumentation are obtained according to Quick Response Code recognition result
The particular location of equipment in the picture is instrument positioning；Finally image recognition algorithm corresponding to selection is known to Instrument image
Not, and by recognition result export.
5. power plant's instrument equipment drawing picture identification method, system based on hand-held intelligent inspection, it is characterised in that including：
Instrumentation status image acquisition module：Height is rapidly and accurately gathered using based on the image-pickup method that Quick Response Code matches
The instrumentation status image of quality, obtain position and the type information of inspection instrumentation, and instrument calibration equipment state figure
The position deviation of picture；
Data obtaining module：Position and the type information of inspection instrumentation, and rectifier are obtained from instrumentation status image
The position deviation of table equipment state image；
Select image recognition algorithm module：According to image recognition algorithm corresponding to different instrumentation type selectings, at analysis
Manage instrumentation status image and identification equipment state.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107895138A (en) * | 2017-10-13 | 2018-04-10 | 西安艾润物联网技术服务有限责任公司 | Spatial obstacle object detecting method, device and computer-readable recording medium |
| CN108520567A (en) * | 2018-03-26 | 2018-09-11 | 云南电网有限责任公司丽江供电局 | A kind of auxiliary method for inspecting identified by capture apparatus operation image |
| CN108681705A (en) * | 2018-05-15 | 2018-10-19 | 国网重庆市电力公司电力科学研究院 | A kind of measuring equipment consistency checking method and system based on figure identification |
| CN108960236A (en) * | 2018-06-27 | 2018-12-07 | 浙江理工大学 | Pointer instrument recognition methods based on two dimensional code matching and image recognition |
| CN109508709A (en) * | 2018-09-29 | 2019-03-22 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | A kind of simple pointer meter reading method based on machine vision |
| CN111985420A (en) * | 2020-08-25 | 2020-11-24 | 北京奥特雷柏科技有限公司 | Power distribution station unmanned inspection method based on machine vision |
| CN112464949A (en) * | 2020-11-16 | 2021-03-09 | 广东电网有限责任公司 | Method for eliminating influence of liquid level line on instrument pointer identification |
| CN112752066A (en) * | 2019-10-30 | 2021-05-04 | 上海唯风信息技术有限公司 | Intelligent meter reading system and method |
| CN113112175A (en) * | 2021-04-25 | 2021-07-13 | 山东新一代信息产业技术研究院有限公司 | Efficient warehouse shelf counting method and management system |
| CN113408315A (en) * | 2021-05-27 | 2021-09-17 | 山东新一代信息产业技术研究院有限公司 | Data center server state detection method and system |
| CN113743451A (en) * | 2021-07-21 | 2021-12-03 | 南方电网深圳数字电网研究院有限公司 | Temperature image recognition method, device, equipment and storage medium |
| CN118505208A (en) * | 2024-07-18 | 2024-08-16 | 东方电子股份有限公司 | Space-earth integrated three-dimensional inspection method based on multi-agent reinforcement learning |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105930837A (en) * | 2016-05-17 | 2016-09-07 | 杭州申昊科技股份有限公司 | Transformer station instrument equipment image recognition method based on autonomous routing inspection robot |
| CN106570436A (en) * | 2016-11-14 | 2017-04-19 | 三峡大学 | Substation equipment meter reading system and meter reading method based on two-dimensional code |
| CN107016311A (en) * | 2017-03-27 | 2017-08-04 | 国网江苏省电力公司电力科学研究院 | The method that electricity substation carries out target device positioning according to Quick Response Code |
-
2017
- 2017-08-16 CN CN201710700381.8A patent/CN107507174A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105930837A (en) * | 2016-05-17 | 2016-09-07 | 杭州申昊科技股份有限公司 | Transformer station instrument equipment image recognition method based on autonomous routing inspection robot |
| CN106570436A (en) * | 2016-11-14 | 2017-04-19 | 三峡大学 | Substation equipment meter reading system and meter reading method based on two-dimensional code |
| CN107016311A (en) * | 2017-03-27 | 2017-08-04 | 国网江苏省电力公司电力科学研究院 | The method that electricity substation carries out target device positioning according to Quick Response Code |
Non-Patent Citations (1)
| Title |
|---|
| HUIJUAN ZHANG等: "《Localization and navigation using QR code for mobile robot in indoor environment》", 《PROCEEDINGS OF THE 2015 IEEE CONFERENCE ON ROBOTICS AND BIOMIMETICS》 * |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107895138A (en) * | 2017-10-13 | 2018-04-10 | 西安艾润物联网技术服务有限责任公司 | Spatial obstacle object detecting method, device and computer-readable recording medium |
| CN107895138B (en) * | 2017-10-13 | 2020-06-23 | 西安艾润物联网技术服务有限责任公司 | Method and device for detecting space obstacle and computer readable storage medium |
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