CN113029229A - Bridge detection safety system based on big data of Internet of things - Google Patents
Bridge detection safety system based on big data of Internet of things Download PDFInfo
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- CN113029229A CN113029229A CN202110152064.3A CN202110152064A CN113029229A CN 113029229 A CN113029229 A CN 113029229A CN 202110152064 A CN202110152064 A CN 202110152064A CN 113029229 A CN113029229 A CN 113029229A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
The invention discloses a bridge detection safety system based on Internet of things big data, which belongs to the technical field of measuring devices and comprises a device main body and a chassis; remotely controlling the detection device to the municipal road pavement to be detected; acquiring images around the device main body by using image acquisition; the forward monitoring device is used for acquiring the road condition in front of the device in real time; the remote sensing type road surface detection and road surface condition detection device is used for monitoring the conditions of the front and the rear road surfaces of the device and the temperature of the road surfaces; a crack comprehensive tester and a pavement laser detection device; and transmitting the data obtained in the previous step to a remote command center in real time. The invention has the following beneficial effects: the device integrates the mode of combining sound wave nondestructive testing, laser testing and image testing, comprehensively tests the condition of the pavement, and acquires the conditions of cracks, flatness, pavement concrete thickness, pavement marking paint thickness and the like for monitoring the pavement in real time; the efficiency of road surface detection is greatly improved. The road surface detection scheme is efficient and convenient for a detector.
Description
Technical Field
The invention belongs to the technical field of measuring devices, and particularly relates to a bridge detection safety system based on Internet of things big data.
Background
Pavement non-damage detection refers to a test method that can measure and inspect parameters such as thickness, position of reinforcing steel bars, internal defects, and certain physical and mechanical parameters without damaging the pavement. Generally using acoustic and electrical principles and radioisotopes with the aid of electronic instrumentation. For example, microwave or sound wave is utilized to reach the required depth by selecting frequency, and then the density, strength, thickness and the like of the pavement are measured according to the difference of dielectric constant or sound velocity in different layers of materials. The advantages are that: the pavement is not damaged; the detection speed is fast (almost instantaneous); the test can be repeated at any time. However, the existing road surface damage-free detection mode is complex and not integrated enough, the detection efficiency is low, workers are required to perform detection in person, the personnel cost is greatly improved, the damage on the road surface is not only complicated and complicated, but also has complicated reasons, and no automatic measuring instrument with universal applicability can be used. The visual inspection method usually adopted is time-consuming and labor-consuming, and has poor data comparability and repeatability.
In order to solve the defects of the prior art, the invention discloses a bridge detection safety system based on Internet of things big data, which belongs to the technical field of measuring devices and comprises a device main body and a chassis; remotely controlling the detection device to the municipal road pavement to be detected; acquiring images around the device main body by using image acquisition; the forward monitoring device is used for acquiring the road condition in front of the device in real time; the remote sensing type road surface detection and road surface condition detection device is used for monitoring the conditions of the front and the rear road surfaces of the device and the temperature of the road surfaces; a crack comprehensive tester and a pavement laser detection device; and transmitting the data obtained in the previous step to a remote command center in real time. The invention has the following beneficial effects: the device integrates the mode of combining sound wave nondestructive testing, laser testing and image testing, comprehensively tests the condition of the pavement, and acquires the conditions of cracks, flatness, pavement concrete thickness, pavement marking paint thickness and the like for monitoring the pavement in real time; the efficiency of road surface detection is greatly improved. The road surface detection scheme is efficient and convenient for a detector.
Disclosure of Invention
Technical problem to be solved
(1) Integrating multiple detection indexes;
(2) the detection efficiency is improved;
(3) and (5) remote control detection.
(II) technical scheme
The invention is realized by the following technical scheme: the invention provides a bridge detection safety system based on Internet of things big data, which comprises a device main body and a chassis, wherein the device main body comprises: the device comprises a light supplementing lamp, a front windshield, a forward monitoring device, an antenna bracket, an antenna, a warning lamp, lateral glass, a wheel, a lateral light supplementing lamp bar, a lateral image acquisition device, a forward image acquisition device, a crack comprehensive tester, a detection bracket, remote sensing type pavement detection, a multispectral camera, an infrared sensing camera, a protective cover, a pavement condition detection device, a pavement condition detection head, a detection device bracket, a detection antenna, a rear side device door, a door handle, a rear device lamp and a rear image acquisition device; the chassis includes: the device comprises a pavement laser detection device, an impact echo thickness tester, a marking detection device, a vertical laser detection port and a lateral laser detection port.
As a further explanation of the above aspect, a front windshield is mounted on an upper portion of a front side of the apparatus main body; the lower part of the front side of the device main body is provided with a forward image acquisition device, a crack comprehensive tester, a detection bracket and a light supplement lamp; the detection bracket is provided with remote sensing type pavement detection; and the remote sensing type road surface detection device is provided with a multispectral camera, an infrared sensing camera and a protective cover.
As a further explanation of the above scheme, lateral glasses are arranged on the upper parts of the two sides of the device main body; lateral light supplementing lamp strips, a lateral image acquisition device and a pavement condition detection device are arranged on the lower portions of the two sides of the device main body.
As a further explanation of the above scheme, the top of the device main body is provided with a forward monitoring device, an antenna bracket and a warning light; a road surface condition detection device; the antenna bracket is provided with an antenna; the road surface condition detection device comprises a road surface condition detection head, a detection device bracket and a detection antenna; the detection device bracket is arranged at the top of the device main body; the road surface condition detection head is arranged on the detection device bracket; the angle of the detection device bracket can be adjusted; the detection antenna is mounted on the road surface condition detection head.
As a further explanation of the above scheme, a rear device door, a rear device lamp, and a rear image acquisition device are installed on the rear side of the device main body; and a door handle is arranged above the rear side device door.
As a further explanation of the above solution, the chassis is provided with wheels; the middle part of the chassis is provided with a pavement laser detection device; an impact echo thickness tester and a marking detection device are respectively arranged on two sides of the pavement laser detection device; the bottom of the pavement laser detection device is provided with 13 vertical laser detection ports; the two sides of the pavement laser detection device are provided with inclined planes, and the inclined planes are provided with lateral laser detection ports.
As a further explanation of the above scheme, the vertical laser detection ports at the bottom of the pavement laser detection device are arranged in a state that the middle is sparse and the two sides are dense, and the arrangement intervals of the vertical laser detection ports are in the following proportion: 9:10:11:12:13:14:14:13:12:11:10: 9; the included angle between the lateral laser detection port and the vertical laser detection port is 45 degrees.
As a further explanation of the above scheme, the forward image capturing device, the backward image capturing device, and the lateral image capturing device on the device main body are used for acquiring images around the device main body and splicing the images to form an image.
As a further explanation of the above scheme, the device main body is provided with a Beidou positioning module and a wireless communication module; and based on the antenna, remotely controlling the monitoring device.
The invention also provides a bridge detection method based on the Internet of things big data, which comprises the following steps:
step 100: remotely controlling the detection device to the municipal road pavement to be detected;
step 200: starting a forward image acquisition device, a backward image acquisition device and a lateral image acquisition device to acquire images around the device main body; the forward monitoring device is used for acquiring the road condition in front of the device in real time;
step 300: starting a remote sensing type road surface detection and road surface condition detection device for monitoring the accumulated water condition, the accumulated snow condition, the icing thickness condition and the road surface temperature of the front and rear road surfaces of the device;
step 400: starting a crack comprehensive tester and a pavement laser detection device; the device is used for monitoring cracks and flatness of the road surface, the thickness of road surface concrete and the thickness of road surface marking paint;
step 500: transmitting the data obtained in the step 400 to a remote command center in real time; marking a positioning label on the abnormal signal for the road surface mark with the abnormal shape;
step 600: and after the detection is finished, the control device returns to the starting point.
(III) advantageous effects
Compared with the prior art, the invention has the following beneficial effects:
in order to solve the defects of the prior art, the invention discloses a bridge detection safety system based on Internet of things big data, which belongs to the technical field of measuring devices and comprises a device main body and a chassis; remotely controlling the detection device to the municipal road pavement to be detected; acquiring images around the device main body by using image acquisition; the forward monitoring device is used for acquiring the road condition in front of the device in real time; the remote sensing type road surface detection and road surface condition detection device is used for monitoring the conditions of the front and the rear road surfaces of the device and the temperature of the road surfaces; a crack comprehensive tester and a pavement laser detection device; and transmitting the data obtained in the previous step to a remote command center in real time. The invention has the following beneficial effects: the device integrates the mode of combining sound wave nondestructive testing, laser testing and image testing, comprehensively tests the condition of the pavement, and acquires the conditions of cracks, flatness, pavement concrete thickness, pavement marking paint thickness and the like for monitoring the pavement in real time; the efficiency of road surface detection is greatly improved. The road surface detection scheme is efficient and convenient for a detector.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic bottom view of the present invention;
FIG. 3 is a rear side view of the present invention;
FIG. 4 is a schematic view of a laser inspection apparatus for road surface according to the present invention;
FIG. 5 is a schematic view of a laser inspection apparatus for road surface according to the present invention;
FIG. 6 is a schematic view of a road surface condition detecting head according to the present invention;
FIG. 7 is a schematic view of the remote sensing type road surface inspection of the present invention;
FIG. 8 is a schematic diagram of image stitching according to the present invention;
in the figure: light supplement lamp (1), front windshield (2), device body (3), preceding monitoring devices (4), antenna support (5), antenna (6), warning light (7), side direction glass (8), wheel (9), side direction light supplement lamp strip (10), side direction image acquisition device (11), preceding image acquisition device (12), crack comprehensive tester (13), detection support (14), remote sensing formula road surface detection (15), multispectral camera (151), infrared sensing camera (152), protection casing (153), chassis (16), road surface laser detection device (17), echo impact thickness tester (172), marking detection device (172), vertical laser detection mouth (173), side direction laser detection mouth (174), road surface condition detection device (18), road surface condition detection head (181), detection device support (182), The device comprises a detection antenna (183), a rear side device door (19), a door handle (20), a backward device lamp (21) and a backward image acquisition device (22);
Detailed Description
Referring to fig. 1, fig. 2, fig. 3, fig. 4, fig. 5, fig. 6, fig. 7, and fig. 8, a bridge detection safety system based on internet of things big data includes a device main body and a chassis, where the device main body includes: the device comprises a light supplementing lamp, a front windshield, a forward monitoring device, an antenna bracket, an antenna, a warning lamp, lateral glass, a wheel, a lateral light supplementing lamp bar, a lateral image acquisition device, a forward image acquisition device, a crack comprehensive tester, a detection bracket, remote sensing type pavement detection, a multispectral camera, an infrared sensing camera, a protective cover, a pavement condition detection device, a pavement condition detection head, a detection device bracket, a detection antenna, a rear side device door, a door handle, a rear device lamp and a rear image acquisition device; the chassis includes: the device comprises a pavement laser detection device, an impact echo thickness tester, a marking detection device, a vertical laser detection port and a lateral laser detection port.
Wherein, the upper part of the front side of the device main body is provided with a front windshield; the lower part of the front side of the device main body is provided with a forward image acquisition device, a crack comprehensive tester, a detection bracket and a light supplement lamp; the detection bracket is provided with remote sensing type pavement detection; and the remote sensing type road surface detection device is provided with a multispectral camera, an infrared sensing camera and a protective cover.
Wherein, lateral glass is arranged at the upper parts of two sides of the device main body; lateral light supplementing lamp strips, a lateral image acquisition device and a pavement condition detection device are arranged on the lower portions of the two sides of the device main body.
The top of the device main body is provided with a forward monitoring device, an antenna bracket and a warning lamp; a road surface condition detection device; the antenna bracket is provided with an antenna; the road surface condition detection device comprises a road surface condition detection head, a detection device bracket and a detection antenna; the detection device bracket is arranged at the top of the device main body; the road surface condition detection head is arranged on the detection device bracket; the angle of the detection device bracket can be adjusted; the detection antenna is mounted on the road surface condition detection head.
Wherein, the rear side of the device main body is provided with a rear side device door, a rear device lamp and a rear image acquisition device; and a door handle is arranged above the rear side device door.
Wherein the chassis is provided with wheels; the middle part of the chassis is provided with a pavement laser detection device; an impact echo thickness tester and a marking detection device are respectively arranged on two sides of the pavement laser detection device; the bottom of the pavement laser detection device is provided with 13 vertical laser detection ports; the two sides of the pavement laser detection device are provided with inclined planes, and the inclined planes are provided with lateral laser detection ports.
The vertical laser detection ports at the bottom of the pavement laser detection device are arranged in a state that the middle is sparse and the two sides are dense, and the arrangement interval proportion of the vertical laser detection ports is as follows: 9:10:11:12:13:14:14:13:12:11:10: 9; the included angle between the lateral laser detection port and the vertical laser detection port is 45 degrees.
The device comprises a device body, a front image acquisition device, a rear image acquisition device and a side image acquisition device, wherein the front image acquisition device, the rear image acquisition device and the side image acquisition device on the device body are used for acquiring images around the device body and are spliced to form images.
The device main body is provided with a Beidou positioning module and a wireless communication module; and based on the antenna, remotely controlling the monitoring device.
Wherein the method comprises the following steps:
step 100: remotely controlling the detection device to the municipal road pavement to be detected;
step 200: starting a forward image acquisition device, a backward image acquisition device and a lateral image acquisition device to acquire images around the device main body; the forward monitoring device is used for acquiring the road condition in front of the device in real time;
step 300: starting a remote sensing type road surface detection and road surface condition detection device for monitoring the accumulated water condition, the accumulated snow condition, the icing thickness condition and the road surface temperature of the front and rear road surfaces of the device;
step 400: starting a crack comprehensive tester and a pavement laser detection device; the device is used for monitoring cracks and flatness of the road surface, the thickness of road surface concrete and the thickness of road surface marking paint;
step 500: transmitting the data obtained in the step 400 to a remote command center in real time; marking a positioning label on the abnormal signal for the road surface mark with the abnormal shape;
step 600: and after the detection is finished, the control device returns to the starting point.
The working principle is as follows:
taking a municipal road in a certain city as an example, remotely controlling a detection device to the road surface of the municipal road to be detected; starting a forward image acquisition device, a backward image acquisition device and a lateral image acquisition device to acquire images around the device main body; the forward monitoring device is used for acquiring the road condition in front of the device in real time; and if the detection time is night, the light supplement lamp devices around the device can be started to supplement light to the field environment. Starting a remote sensing type road surface detection and road surface condition detection device for monitoring the accumulated water condition, the accumulated snow condition, the icing thickness condition and the road surface temperature of the front and rear road surfaces of the device; starting a crack comprehensive tester and a pavement laser detection device; the device is used for monitoring cracks and flatness of the road surface, the thickness of road surface concrete and the thickness of road surface marking paint; transmitting the data obtained in the last step to a remote command center in real time; marking a positioning label on the abnormal signal for the road surface mark with the abnormal shape; and after the detection is finished, the control device returns to the starting point. Obtaining the road conditions of the whole road section through one-time detection, wherein the road conditions comprise the accumulated water condition, the accumulated snow condition, the icing thickness condition and the road temperature of the road; the conditions of cracks, flatness, pavement concrete thickness, pavement marking paint thickness and the like of the pavement; the detection efficiency is greatly improved, and meanwhile, the labor cost is greatly reduced through a remote control mode; the invention is based on the Beidou positioning and wireless communication technology, not only can ensure the accurate positioning of the abnormal road section, but also can ensure the real-time return of the information. The image acquisition device can also ensure that the remote command center can acquire the conditions of the front and the back of the device in real time in the remote control process, so that the field environment can be known in real time.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship.
The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations. In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a bridge detection safety coefficient based on thing networking big data, includes device main part (3), chassis (16), its characterized in that:
the device main body (3) includes: the device comprises a light supplement lamp (1), a front windshield (2), a front monitoring device (4), an antenna support (5), an antenna (6), a warning lamp (7), lateral glass (8), a wheel (9), a lateral light supplement lamp bar (10), a lateral image acquisition device (11), a front image acquisition device (12), a comprehensive crack tester (13), a detection support (14), a remote sensing type road surface detection device (15), a multispectral camera (151), an infrared sensing camera (152), a protective cover (153), a road surface condition detection device (18), a road surface condition detection head (181), a detection device support (182), a detection antenna (183), a rear device door (19), a door handle (20), a rear device lamp (21) and a rear image acquisition device (22);
the chassis (16) comprises: the device comprises a road surface laser detection device (17), an impact echo thickness tester (172), a marking line detection device (172), a vertical laser detection port (173) and a lateral laser detection port (174).
2. The bridge detection safety system based on big data of the Internet of things according to claim 1, characterized in that: the upper part of the front side of the device main body (3) is provided with a front windshield (2); the lower part of the front side of the device main body (3) is provided with a forward image acquisition device (12), a crack comprehensive tester (13), a detection bracket (14) and a light supplement lamp (1); the detection bracket (14) is provided with a remote sensing type road surface detection (15); the remote sensing type road surface detection device (15) is provided with a multispectral camera (151), an infrared sensing camera (152) and a protective cover (153).
3. The bridge detection safety system based on big data of the Internet of things according to claim 1, characterized in that: lateral glass (8) is arranged on the upper parts of the two sides of the device main body (3); lateral light supplement lamp strips (10), a lateral image acquisition device (11) and a road surface condition detection device (18) are arranged on the lower portions of the two sides of the device main body (3).
4. The bridge detection safety system based on big data of the Internet of things according to claim 1, characterized in that: the top of the device main body (3) is provided with a forward monitoring device (4), an antenna bracket (5) and a warning lamp (7); a road surface condition detection device (18); the antenna bracket (5) is provided with an antenna (6); the road surface condition detection device (18) comprises a road surface condition detection head (181), a detection device bracket (182) and a detection antenna (183); the detection device bracket (182) is arranged at the top of the device main body (3); the road surface condition detection head (181) is mounted on the detection device bracket (182); the detection device bracket (182) can be adjusted in angle; the detection antenna (183) is mounted on the road surface condition detection head (181).
5. The bridge detection safety system based on big data of the Internet of things according to claim 1, characterized in that: a rear side device door (19), a rear device lamp (21) and a rear image acquisition device (22) are arranged on the rear side of the device main body (3); a door handle (20) is arranged above the rear side device door (19).
6. The bridge detection safety system based on big data of the Internet of things according to claim 1, characterized in that: the chassis (16) is provided with wheels (9); the middle part of the chassis (16) is provided with a pavement laser detection device (17); the two sides of the pavement laser detection device (17) are respectively provided with an impact echo thickness tester (172) and a marking detection device (172); the bottom of the pavement laser detection device (17) is provided with 13 vertical laser detection ports (173); inclined planes are arranged on two sides of the pavement laser detection device (17), and a lateral laser detection port (174) is arranged on each inclined plane.
7. The bridge detection safety system based on big data of the Internet of things according to claim 6, wherein: the vertical laser detection ports (173) at the bottom of the pavement laser detection device (17) are arranged in a state that the middle is sparse and the two sides are dense, and the arrangement interval proportion of the vertical laser detection ports (173) is as follows: 9:10:11:12:13:14:14:13:12:11:10: 9; the included angle between the lateral laser detection port (174) and the vertical laser detection port (173) is 45 degrees.
8. The bridge detection safety system based on big data of the Internet of things according to claim 2, characterized in that: the device is characterized in that a forward image acquisition device (12), a backward image acquisition device (22) and a lateral image acquisition device (11) on the device main body (3) are used for acquiring images around the device main body (3) and splicing to form images.
9. The bridge detection safety system based on big data of the Internet of things according to claim 1, characterized in that: the device main body (3) is provided with a Beidou positioning module and a wireless communication module; based on the antenna (6), the monitoring device is remotely controlled.
10. A bridge detection method based on Internet of things big data is characterized in that: the method comprises the following steps:
step 100: remotely controlling the detection device to the municipal road pavement to be detected;
step 200: starting a forward image acquisition device (12), a backward image acquisition device (22) and a lateral image acquisition device (11) to acquire images around the device main body (3); the forward monitoring device (4) is used for acquiring the road condition in front of the device in real time;
step 300: starting a remote sensing type road surface detection device (15) and a road surface condition detection device (18) for monitoring the accumulated water condition, the accumulated snow condition, the icing thickness condition and the road surface temperature of the front and the rear road surfaces of the device;
step 400: starting a crack comprehensive tester (13) and a pavement laser detection device (17); the device is used for monitoring cracks and flatness of the road surface, the thickness of road surface concrete and the thickness of road surface marking paint;
step 500: transmitting the data obtained in the step 400 to a remote command center in real time; marking a positioning label on the abnormal signal for the road surface mark with the abnormal shape;
step 600: and after the detection is finished, the control device returns to the starting point.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110152064.3A CN113029229A (en) | 2021-02-04 | 2021-02-04 | Bridge detection safety system based on big data of Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110152064.3A CN113029229A (en) | 2021-02-04 | 2021-02-04 | Bridge detection safety system based on big data of Internet of things |
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| Publication Number | Publication Date |
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| CN113029229A true CN113029229A (en) | 2021-06-25 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202110152064.3A Withdrawn CN113029229A (en) | 2021-02-04 | 2021-02-04 | Bridge detection safety system based on big data of Internet of things |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115479949A (en) * | 2022-09-14 | 2022-12-16 | 交铁检验认证实验室(成都)有限公司 | Bridge safety monitoring and early warning method and system based on big data |
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2021
- 2021-02-04 CN CN202110152064.3A patent/CN113029229A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115479949A (en) * | 2022-09-14 | 2022-12-16 | 交铁检验认证实验室(成都)有限公司 | Bridge safety monitoring and early warning method and system based on big data |
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Application publication date: 20210625 |