CN108435456A - Industrial robot spraying control system - Google Patents

Industrial robot spraying control system Download PDF

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Publication number
CN108435456A
CN108435456A CN201810243585.8A CN201810243585A CN108435456A CN 108435456 A CN108435456 A CN 108435456A CN 201810243585 A CN201810243585 A CN 201810243585A CN 108435456 A CN108435456 A CN 108435456A
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CN
China
Prior art keywords
detection data
information
acquisition
matrix
directional information
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CN201810243585.8A
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Chinese (zh)
Inventor
程宾
莫波
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Sichuan Hengli Zhifang Automation Engineering Co Ltd
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Sichuan Hengli Zhifang Automation Engineering Co Ltd
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Priority to CN201810243585.8A priority Critical patent/CN108435456A/en
Publication of CN108435456A publication Critical patent/CN108435456A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B05SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
    • B05BSPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
    • B05B12/00Arrangements for controlling delivery; Arrangements for controlling the spray area
    • B05B12/08Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means
    • B05B12/084Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means responsive to condition of liquid or other fluent material already sprayed on the target, e.g. coating thickness, weight or pattern

Abstract

Image is caused to be unfavorable for spraying Defect Detection in order to solve the problems, such as that image detecting apparatus is given a shock during processing of robots, the present invention provides a kind of industrial robot spraying control systems, it is identified and controls for the spraying flaw to industrial robot, including:Video acquisition subsystem, video acquisition is carried out to the position assembled in workpiece for being obtained by three video capture devices, Defect Detection data are obtained, and the position of the assembling is the position that workpiece assembled after different workpieces being assembled by robot is adjacent to each other or is connected;Processing subsystem, for carrying out damping and stabilisation to detection data;State-detection recognition subsystem, for carrying out assembling flaw identification by stabilized data;Control subsystem, the identification information for being exported according to state-detection recognition subsystem adjust the spray angle and spray time of industrial robot.

Description

Industrial robot spraying control system
Technical field
The invention belongs to robot cell operation quality monitoring technology fields, are sprayed more particularly to a kind of industrial robot Control system.
Background technology
Robot has been universally applied to all common robot of the occasions such as production line, including assembling, welding, spraying and has held The figure of row operation.For example, the requirement that people are machined automobile etc. the performance and appearance of product is also higher and higher.Automobile Spraying effect is that automobile appearance gives people most direct impression.Vehicle spray painting technique be four big technique of automobile making (punching press, be welded, One of spraying, general assembly), quality directly affects first impression of the consumer for automobile brand.Due to vehicle spray painting quality by To the influence of many factors, such as:Coating itself, painting environments and each processing parameter setting etc. so that vehicle spray painting becomes One high-precision, highly difficult work, therefore there is still a need for carry out Defect Detection after body of a motor car spray painting drying.But due to automobile The high light-reflecting property on surface so that Defect Detection is extremely difficult.
Currently, the spraying Defect Detection link in China processing of robots workshop is finished artificially, pass through stone of buying oil, light The methods of according to, slight flaws are detected in conjunction with the modes such as observation and touch from different perspectives.In the production line, spraying is completed After drying, generally flaw is detected by several workers, foundation is provided for follow-up link of repairing.This work not only needs to examine Survey personnel have abundant working experience, and detection workman is required to remain the attention of high intensity, and assembly line is connected The worker of continuous work, it is easy to generate visual fatigue, decline to easily lead to detection efficiency and Detection accuracy, inevitably The phenomenon that will appear flase drop missing inspection.On the other hand, with the industrial transformation of the region of world economy adjustment and China's economic, manually Cost is also higher and higher, and current high speed, accurate, automation production requirement can not be also adapted to using the method for artificial detection.Cause How this improves the automatization level of Defect Detection, and it is also world's processing of robots that reduction production cost, which is China's automobile industry, The pressing issues that industry faces.In addition, be technological means commonly used in the art by video detection flaw, but workshop is inevitably due to passing Defeated band movement, machining operations etc. cause video acquisition to there are the vibrations to picture pick-up device in the process, influence to utilize its image Carry out the quality of the spray-coating surface Defect Detection of spraying finished product.
Invention content
In order to improve robot assembling flaw monitor accuracy, solve during processing of robots image detecting apparatus by The problem of causing image to be unfavorable for spraying Defect Detection to vibrations, the present invention provides a kind of industrial robot spray painting control systems System, is identified and controls for the spraying flaw to industrial robot, including:
Video acquisition subsystem carries out video for being obtained by three video capture devices to the position assembled in workpiece Acquisition, obtain Defect Detection data, the position of the assembling be after different workpieces are assembled by robot be assembled workpiece that This position that is adjacent or being connected;
Processing subsystem, for carrying out damping and stabilisation to detection data;
State-detection recognition subsystem, for carrying out assembling flaw identification by stabilized data;
Control subsystem, the identification information for being exported according to state-detection recognition subsystem adjust the spray of industrial robot Apply angle and spray time.
Further, the shooting angle of the video capture device is different from each other.
Further, the focal length of the video capture device can be automatically adjusted, and respective adjusting range is each other It is different.
Further, the frame data set that the detection data is made of multiple images.
Further, the video acquisition subsystem includes:
First video capture device, for acquiring the first detection data and recording its first acquisition directional information;
Second video capture device, for acquiring the second detection data and recording its second acquisition directional information;
Third video capture device acquires directional information for acquiring third detection data and recording its third;
First detection data collection obtaining unit, for first detection data, the second detection data, third testing number According to, first acquisition directional information, second acquisition directional information and third acquisition directional information carry out first collect, obtain the first inspection Measured data collection, first collection includes adopting first detection data, the second detection data, third detection data, first Collection directional information, the second acquisition directional information and third acquisition directional information are preserved, and the first detection data collection is obtained.
Further, the processing subsystem includes:
Second detection data collection obtaining unit, for according to the first detection data, the second detection data and third testing number Direction is acquired according in different moments corresponding first acquisition direction, the second acquisition direction, third, to the first detection data collection In each frame data reconfigured, obtain the second detection data collection;
Transmission unit, for the second detection data collection to be transferred to supervisory control of robot server.
Further, the first acquisition directional information includes horizontal information and posture information, and the horizontal information indicates Straight line where the focal length of video capture device is towards the deflection in the direction in field data source, described in the posture information indicates The three-dimensional acceleration vector of video capture device.
Further, the second detection data collection obtaining unit includes:
First level information difference computing unit, in the first moment t1, calculate separately the first acquisition directional information The horizontal information and horizontal information of the second acquisition directional information, the horizontal information of the first acquisition directional information and third acquire direction Difference between horizontal information the two of information, the difference correspond respectively to first level information difference α1With the second horizontal letter Cease difference α2
Second horizontal information difference computational unit, in the first moment t1The second moment t later2, calculate separately first Acquire the horizontal information of the horizontal information of directional information and the horizontal information of the second acquisition directional information, the first acquisition directional information The difference between horizontal information the two of directional information is acquired with third, which corresponds respectively to third horizontal information difference α3With the 4th horizontal information difference α4
Ratio calculation unit, for calculating the posture information of the first acquisition directional information, the appearance of the second acquisition directional information These three posture informations of posture information of state information and third acquisition directional information are in the first moment t1With the second moment t2Between The first posture information change rate g in period1, the second posture information change rate g2With third posture information change rate g3, wherein The first, second, and third posture information change rate is the vector sum and the second moment and the first moment by three-dimensional acceleration Between time difference between ratio calculation obtain;
First pixel matching matrix calculation unit is as follows for calculating pixel matching matrix A:
First Transition matrix calculation unit, is used for:It is located at the first moment t1, the corresponding pixel set pair of the first detection data The matrix answered is m, and the corresponding matrix of the corresponding pixel set of the second detection data is n, the corresponding set of pixels of third detection data It is p to close corresponding matrix;In the second moment t2, the corresponding matrix of the corresponding pixel set of the first detection data is x, the second detection The corresponding matrix of the corresponding pixel set of data is y, and the corresponding matrix of the corresponding pixel set of third detection data is z, is calculated First Transition Matrix C1For:
Wherein mod (t2-t1, 2) and it indicates to t2-t1The absolute value of difference take the remainder of the quotient relative to 2;
Second pixel matching matrix calculation unit, forAs overturning center The space coordinate of point, symmetrically overturns matrix A, obtains matrix A ';
Second transition matrix computing unit, for calculating the second transition matrix C2For:
Interpolation unit, for utilizing Matrix C2To matrix A ' interpolation is carried out, obtain matrix A ", and calculate the second detection data It concentrates and the second moment t2The corresponding matrix q of the corresponding pixel set of corresponding detection data frame:
Cumulative unit for preserving q, and then constantly accumulates to obtain the second detection data collection.
Further, the state-detection recognition subsystem includes:Prewarning unit, for working as the second detection data collection Frame data in, when the gray scales of frame data corresponding with the corresponding space coordinate in precalculated position is more than default gray threshold, hair Go out to assemble flaw warning information.
Technical scheme of the present invention has the advantages that:
By the picture pick-up devices such as the camera of multiple and different focal lengths, camera it is collected to the position that is assembled in workpiece into Row video acquisition, obtains Defect Detection data, and the position of the assembling is assembled after being assembled different workpieces by robot Workpiece is adjacent to each other or the stabilization processes of position that are connected, improves during identification assembling flaw due to where robot Assembly line operates the shake of workpiece, shakes the smudgy problem of the assembling Defect Detection image generated, improves for machine The workpiece that people's monitoring server is assembled together by gray scale area detecting be connected to each other or adjacent surface Between existing flaw detection identification accuracy and reliability.
Description of the drawings
Fig. 1 shows the spraying control system composition frame chart of the present invention.
Specific implementation mode
According to a preferred embodiment of the invention, industrial robot spraying control system as shown in Figure 1, for industrial machine The spraying flaw of device people is identified and controls, including:
Video acquisition subsystem carries out video for being obtained by three video capture devices to the position assembled in workpiece Acquisition, obtain Defect Detection data, the position of the assembling be after different workpieces are assembled by robot be assembled workpiece that This position that is adjacent or being connected;
Processing subsystem, for carrying out damping and stabilisation to detection data;
State-detection recognition subsystem, for carrying out assembling flaw identification by stabilized data;
Control subsystem, the identification information for being exported according to state-detection recognition subsystem adjust the spray of industrial robot Apply angle and spray time.
Preferably, the shooting angle of the video capture device is different from each other.
Preferably, the focal length of the video capture device can be automatically adjusted, and respective adjusting range is each other not Together.
Preferably, the frame data set that the detection data is made of multiple images.
Preferably, the video acquisition subsystem includes:
First video capture device, for acquiring the first detection data and recording its first acquisition directional information;
Second video capture device, for acquiring the second detection data and recording its second acquisition directional information;
Third video capture device acquires directional information for acquiring third detection data and recording its third;
First detection data collection obtaining unit, for first detection data, the second detection data, third testing number According to, first acquisition directional information, second acquisition directional information and third acquisition directional information carry out first collect, obtain the first inspection Measured data collection, first collection includes adopting first detection data, the second detection data, third detection data, first Collection directional information, the second acquisition directional information and third acquisition directional information are preserved, and the first detection data collection is obtained.
Preferably, the processing subsystem includes:
Second detection data collection obtaining unit, for according to the first detection data, the second detection data and third testing number Direction is acquired according in different moments corresponding first acquisition direction, the second acquisition direction, third, to the first detection data collection In each frame data reconfigured, obtain the second detection data collection;
Transmission unit, for the second detection data collection to be transferred to supervisory control of robot server.
Preferably, the first acquisition directional information includes horizontal information and posture information, and the horizontal information expression regards Straight line where the focal length of frequency collecting device towards the direction in field data source deflection, the posture information indicate described in regard The three-dimensional acceleration vector of frequency collecting device.
Preferably, the second detection data collection obtaining unit includes:
First level information difference computing unit, in the first moment t1, calculate separately the first acquisition directional information The horizontal information and horizontal information of the second acquisition directional information, the horizontal information of the first acquisition directional information and third acquire direction Difference between horizontal information the two of information, the difference correspond respectively to first level information difference α1With the second horizontal letter Cease difference α2
Second horizontal information difference computational unit, in the first moment t1The second moment t later2, calculate separately first Acquire the horizontal information of the horizontal information of directional information and the horizontal information of the second acquisition directional information, the first acquisition directional information The difference between horizontal information the two of directional information is acquired with third, which corresponds respectively to third horizontal information difference α3With the 4th horizontal information difference α4
Ratio calculation unit, for calculating the posture information of the first acquisition directional information, the appearance of the second acquisition directional information These three posture informations of posture information of state information and third acquisition directional information are in the first moment t1With the second moment t2Between The first posture information change rate g in period1, the second posture information change rate g2With third posture information change rate g3, wherein The first, second, and third posture information change rate is the vector sum and the second moment and the first moment by three-dimensional acceleration Between time difference between ratio calculation obtain;
First pixel matching matrix calculation unit is as follows for calculating pixel matching matrix A:
First Transition matrix calculation unit, is used for:It is located at the first moment t1, the corresponding pixel set pair of the first detection data The matrix answered is m, and the corresponding matrix of the corresponding pixel set of the second detection data is n, the corresponding set of pixels of third detection data It is p to close corresponding matrix;In the second moment t2, the corresponding matrix of the corresponding pixel set of the first detection data is x, the second detection The corresponding matrix of the corresponding pixel set of data is y, and the corresponding matrix of the corresponding pixel set of third detection data is z, is calculated First Transition Matrix C1For:
Wherein mod (t2-t1, 2) and it indicates to t2-t1The absolute value of difference take the remainder of the quotient relative to 2;
Second pixel matching matrix calculation unit, forAs overturning central point Space coordinate, matrix A is symmetrically overturn, matrix A is obtained ';
Second transition matrix computing unit, for calculating the second transition matrix C2For:
Interpolation unit, for utilizing Matrix C2To matrix A ' interpolation is carried out, obtain matrix A ", and calculate the second detection data It concentrates and the second moment t2The corresponding matrix q of the corresponding pixel set of corresponding detection data frame:
Cumulative unit for preserving q, and then constantly accumulates to obtain the second detection data collection.
Preferably, the state-detection recognition subsystem includes:Prewarning unit, for when the second detection data collection In frame data, when the gray scale of frame data corresponding with the corresponding space coordinate in precalculated position is more than default gray threshold, send out Assemble flaw warning information.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.

Claims (9)

1. a kind of industrial robot spraying control system is identified and controls for the spraying flaw to industrial robot, It is characterized in that, including:
Video acquisition subsystem adopts the position progress video assembled in workpiece for being obtained by three video capture devices Collection, obtain Defect Detection data, the position of the assembling be after different workpieces are assembled by robot be assembled workpiece each other Position that is adjacent or being connected;
Processing subsystem, for carrying out damping and stabilisation to detection data;
State-detection recognition subsystem, for carrying out assembling flaw identification by stabilized data;
Control subsystem, the identification information for being exported according to state-detection recognition subsystem adjust the angle of spray of industrial robot Degree and spray time.
2. industrial robot spraying control system according to claim 1, which is characterized in that the video capture device Shooting angle is different from each other.
3. industrial robot spraying control system according to claim 1, which is characterized in that the video capture device Focal length can be automatically adjusted, and respective adjusting range is different from each other.
4. industrial robot spraying control system according to claim 3, which is characterized in that the detection data is by more The frame data set of a image composition.
5. industrial robot spraying control system according to claim 4, which is characterized in that the video acquisition subsystem Including:
First video capture device, for acquiring the first detection data and recording its first acquisition directional information;
Second video capture device, for acquiring the second detection data and recording its second acquisition directional information;
Third video capture device acquires directional information for acquiring third detection data and recording its third;
First detection data collection obtaining unit, for first detection data, the second detection data, third detection data, First acquisition directional information, the second acquisition directional information and third acquisition directional information carry out first and collect, and obtain the first detection Data set, first collection include by first detection data, the second detection data, third detection data, the first acquisition Directional information, the second acquisition directional information and third acquisition directional information are preserved, and the first detection data collection is obtained.
6. industrial robot spraying control system according to claim 5, which is characterized in that the processing subsystem packet It includes:
Second detection data collection obtaining unit, for being existed according to the first detection data, the second detection data and third detection data Different moments corresponding first acquisition direction, the second acquisition direction, third acquire direction, are concentrated to the first detection data Each frame data are reconfigured, and the second detection data collection is obtained;
Transmission unit, for the second detection data collection to be transferred to supervisory control of robot server.
7. industrial robot spraying control system according to claim 6, which is characterized in that first acquisition direction letter Breath includes horizontal information and posture information, the live number of straight line direction where the horizontal information indicates the focal length of video capture device According to the deflection in the direction in source, the posture information indicates the three-dimensional acceleration vector of the video capture device.
8. industrial robot spraying control system according to claim 7, which is characterized in that the second detection data collection Obtaining unit includes:
First level information difference computing unit, in the first moment t1, calculate separately the horizontal letter of the first acquisition directional information Breath and the horizontal information of the second acquisition directional information, horizontal information and the third acquisition directional information of the first acquisition directional information Difference between horizontal information the two, the difference correspond respectively to first level information difference α1With the second horizontal information difference α2
Second horizontal information difference computational unit, in the first moment t1The second moment t later2, calculate separately the first acquisition The horizontal information and the of the horizontal information of directional information and the horizontal information of the second acquisition directional information, the first acquisition directional information Difference between horizontal information the two of three acquisition directional informations, the difference correspond respectively to third horizontal information difference α3With 4th horizontal information difference α4
Ratio calculation unit, for calculating the posture information of the first acquisition directional information, the posture letter of the second acquisition directional information Breath and these three posture informations of posture information of third acquisition directional information are in the first moment t1With the second moment t2Between time The first posture information change rate g in section1, the second posture information change rate g2With third posture information change rate g3, wherein described First, second, and third posture information change rate is by the vector sum of three-dimensional acceleration and between the second moment and the first moment Time difference between ratio calculation obtain;
First pixel matching matrix calculation unit is as follows for calculating pixel matching matrix A:
First Transition matrix calculation unit, is used for:It is located at the first moment t1, the corresponding pixel set of the first detection data is corresponding Matrix is m, and the corresponding matrix of the corresponding pixel set of the second detection data is n, the corresponding pixel set pair of third detection data The matrix answered is p;In the second moment t2, the corresponding matrix of the corresponding pixel set of the first detection data is x, the second detection data The corresponding matrix of corresponding pixel set is y, and the corresponding matrix of the corresponding pixel set of third detection data is z, calculates first Transition matrix C1For:
Wherein mod (t2-t1, 2) and it indicates to t2-t1The absolute value of difference take the remainder of the quotient relative to 2;
Second pixel matching matrix calculation unit, forSky as overturning central point Between coordinate, matrix A is symmetrically overturn, matrix A is obtained ';
Second transition matrix computing unit, for calculating the second transition matrix C2For:
Interpolation unit, for utilizing Matrix C2To matrix A ' interpolation is carried out, obtain matrix A ", and calculate the second detection data and concentrate With the second moment t2The corresponding matrix q of the corresponding pixel set of corresponding detection data frame:
Cumulative unit for preserving q, and then constantly accumulates to obtain the second detection data collection.
9. industrial robot spraying control system according to claim 8, which is characterized in that state-detection identification System includes:Prewarning unit, in the frame data of the second detection data collection, space corresponding with precalculated position to be sat When marking the gray scale of corresponding frame data more than default gray threshold, assembling flaw warning information is sent out.
CN201810243585.8A 2018-03-23 2018-03-23 Industrial robot spraying control system Withdrawn CN108435456A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112604841A (en) * 2020-12-10 2021-04-06 中国联合网络通信集团有限公司 Vehicle spraying detection method, device, equipment and storage medium

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101169380A (en) * 2007-10-31 2008-04-30 重庆大学 Bridge cable surface damage dynamic detection method and device
CN102393397A (en) * 2011-08-30 2012-03-28 成都四星液压制造有限公司 System and method for detecting surface defects of magnetic shoe
US20120206593A1 (en) * 2011-02-14 2012-08-16 Keyence Corporation Defect Detection Apparatus, Defect Detection Method, And Computer Program
CN202916213U (en) * 2012-11-16 2013-05-01 潍坊学院 Gear defect detecting system based on computer vision
CN103293163A (en) * 2013-05-14 2013-09-11 天津名唐环保科技有限公司 Small-piece tinplate double-face quality detection method and system
CN104076041A (en) * 2014-07-22 2014-10-01 中国兵器工业第五九研究所 Detecting device for coating aging appearance
CN104634787A (en) * 2015-02-13 2015-05-20 东华大学 Automatic detection device and method for paint spraying flaws on outer surface of automobile body
CN106501274A (en) * 2016-10-21 2017-03-15 江苏理工学院 Brshless DC motor control circuit production line
CN106706653A (en) * 2017-01-12 2017-05-24 河北省自动化研究所 High-speed wide board detection method
CN107742287A (en) * 2017-10-09 2018-02-27 上海晨光文具股份有限公司 Sheath detecting system and method

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101169380A (en) * 2007-10-31 2008-04-30 重庆大学 Bridge cable surface damage dynamic detection method and device
US20120206593A1 (en) * 2011-02-14 2012-08-16 Keyence Corporation Defect Detection Apparatus, Defect Detection Method, And Computer Program
CN102393397A (en) * 2011-08-30 2012-03-28 成都四星液压制造有限公司 System and method for detecting surface defects of magnetic shoe
CN202916213U (en) * 2012-11-16 2013-05-01 潍坊学院 Gear defect detecting system based on computer vision
CN103293163A (en) * 2013-05-14 2013-09-11 天津名唐环保科技有限公司 Small-piece tinplate double-face quality detection method and system
CN104076041A (en) * 2014-07-22 2014-10-01 中国兵器工业第五九研究所 Detecting device for coating aging appearance
CN104634787A (en) * 2015-02-13 2015-05-20 东华大学 Automatic detection device and method for paint spraying flaws on outer surface of automobile body
CN106501274A (en) * 2016-10-21 2017-03-15 江苏理工学院 Brshless DC motor control circuit production line
CN106706653A (en) * 2017-01-12 2017-05-24 河北省自动化研究所 High-speed wide board detection method
CN107742287A (en) * 2017-10-09 2018-02-27 上海晨光文具股份有限公司 Sheath detecting system and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112604841A (en) * 2020-12-10 2021-04-06 中国联合网络通信集团有限公司 Vehicle spraying detection method, device, equipment and storage medium
CN112604841B (en) * 2020-12-10 2022-02-15 中国联合网络通信集团有限公司 Vehicle spraying detection method, device, equipment and storage medium

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Application publication date: 20180824