CN112241949A - Concrete placement mould intelligent monitoring device that fuses computer vision technique - Google Patents
Concrete placement mould intelligent monitoring device that fuses computer vision technique Download PDFInfo
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 title claims description 11
- 238000001514 detection method Methods 0.000 claims abstract description 38
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 36
- 238000005516 engineering process Methods 0.000 claims abstract description 34
- 230000002159 abnormal effect Effects 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 24
- 230000000007 visual effect Effects 0.000 claims abstract description 15
- 238000007781 pre-processing Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 6
- 238000003384 imaging method Methods 0.000 claims description 3
- 239000013589 supplement Substances 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 2
- 230000001681 protective effect Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 3
- 238000005266 casting Methods 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 5
- 238000010276 construction Methods 0.000 description 5
- 238000009415 formwork Methods 0.000 description 5
- 239000002002 slurry Substances 0.000 description 5
- 230000005856 abnormality Effects 0.000 description 3
- 238000013135 deep learning Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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- 238000011179 visual inspection Methods 0.000 description 1
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- 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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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30132—Masonry; Concrete
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Abstract
The invention provides a concrete pouring mold intelligent monitoring device fused with a computer vision technology, which comprises a rail device with a horizontal recess, a detection trolley and a concrete pouring mold intelligent monitoring algorithm fused with the computer vision technology, wherein the rail device with the horizontal recess is arranged above a longitudinal support of a pouring mold; the detection trolley circularly moves on the track with the recess, and the visual algorithm running on the edge computing equipment is used for processing and monitoring the mould data captured by the image sensor, so that the side station supervision work of the mould in concrete pouring is replaced by manual work, and the monitoring of the abnormal condition of the concrete pouring mould is more accurate.
Description
Technical Field
The invention mainly relates to the technical field of intelligent concrete pouring monitoring, in particular to an intelligent concrete pouring mold monitoring device integrating a computer vision technology.
Background
In the concrete pouring project needing formwork support, because the mould and the reinforcing point are in point-to-point contact, the stress area is small, the mould is deformed with a certain probability, and further the phenomena of formwork expansion and slurry leakage are caused, the formwork expansion and slurry leakage can generate great negative influence on the construction quality, the pouring mould is monitored in real time during construction to find the phenomenon of formwork expansion slurry leakage in time and avoid the phenomenon of slurry leakage, the conventional concrete pouring mould is monitored by visual inspection generally by manual work, and generally by construction supervision, the construction supervision is used as the supervision responsibility of a side station in the pouring process, however, the manual monitoring mode has certain problems, firstly, the side station supervision is easy to misjudge the condition of formwork expansion slurry leakage, secondly, concrete often needs a long time, the construction supervision staff needs long-time side station supervision, and particularly under some automatic pouring scenes, the manpower cost is high, setting up a side station to supervise for one job increases unnecessary labor costs.
Disclosure of Invention
The invention mainly provides a concrete pouring mold intelligent monitoring device fused with a computer vision technology, which is used for solving the technical problems in the background technology.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the intelligent concrete pouring mold monitoring device with the computer vision technology comprises a rail device with horizontal depressions, a detection trolley and an intelligent concrete pouring mold monitoring algorithm with the computer vision technology, wherein the rail device with the horizontal depressions is installed above a longitudinal support of a pouring mold, the two rail devices with the horizontal depressions are internally and externally symmetrical by taking the top end of the longitudinal support as the center and one side of the pouring mold as the inner part, a gap is formed between the two rail devices, and the two rail devices are parallel to a transverse support of the mold;
the detection trolley runs between two track devices with horizontal depressions and must comprise a power trolley body, edge calculation equipment, an image sensor and a battery;
the intelligent concrete pouring mold monitoring algorithm fused with the computer vision technology runs on edge computing equipment of the detection trolley and processes image data transmitted by the image sensor, and the algorithm steps comprise image preprocessing, vision algorithm, abnormal condition judgment and abnormal information uploading.
Further, the detection trolley runs on a rail device with a horizontal recess in operation.
Further, the power of the detection trolley and the power supply of the upper edge computing device are provided by a battery on the trolley, the capacity of the battery is not lower than 5000mAh, and the battery can output direct current of not lower than 12V 2A.
Further, the edge computing device needs to include CPU, NPU, RAM, ROM, LTE network communication modules, one of which typically can refer to TB-RK3399pro under the rayleigh micro Toybrick platform.
Further, the image sensor may include multiple types of imaging devices, which may include but not limited to a color camera, an infrared sensor, and a light supplement unit, and the image sensor is directly connected to the edge computing device to transmit captured image data to the edge computing device.
Further, the various components of the inspection trolley may take certain protective measures, such as covering the housing, etc.
Furthermore, the intelligent monitoring algorithm for the concrete pouring mold, which is integrated with the computer vision technology, is operated on the edge computing equipment, the processing object of the algorithm is data captured by an image sensor, and the algorithm comprises seven key steps, namely: loading a visual model, taking down a frame of image data, judging a key frame, preprocessing an image, detecting a visual algorithm, judging an abnormal condition and uploading abnormal information.
Further, image preprocessing includes but is not limited to image noise reduction and color gamut conversion, visual algorithm detection includes but is not limited to target detection and image classification algorithms, and abnormal information uploading means that when it is detected that abnormality exists, abnormal position and abnormal image information are uploaded to a cloud server through an LTE network communication module on the edge computing device.
Compared with the prior art, the invention has the beneficial effects that:
in the invention, the detection trolley circularly moves on the track with the recess, the visual algorithm running on the edge computing equipment is used for processing and monitoring the mould data captured by the image sensor, the manual side-station supervision work of the mould in concrete pouring is replaced, the manpower resource required by the side-station supervision in the concrete pouring process, particularly the automatic concrete pouring process, is saved, in addition, the phenomenon of missed judgment and erroneous judgment of abnormal conditions is not easy to occur by monitoring through the algorithm based on computer vision, and the monitoring of the abnormal conditions of the concrete pouring mould is more accurate. The present invention will be explained in detail below with reference to the drawings and specific embodiments.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic structural diagram of a working scene of the intelligent concrete pouring mold monitoring device fused with computer vision technology;
FIG. 3 is a schematic view of the position of the track device connecting buckle with horizontal recess according to the present invention;
FIG. 4 is a schematic bottom structure view of the inspection trolley of the present invention;
FIG. 5 is a flow chart of an intelligent concrete pouring mold monitoring algorithm fused with computer vision technology according to the present invention.
In the figure: 1. detecting a trolley; 11. a power car body; 12. an edge computing device; 13. a battery; 14. an image sensor; 15. a wheel; 2. a track set with a horizontal recess; 3. a male head is buckled; 4. buckling the female head; 5. pouring a transverse bracket of the mold; 6. pouring a longitudinal support of the mold; 7. pouring a mold; 8. concrete in pouring; 9. the intelligent monitoring algorithm of the concrete pouring mold is fused with the computer vision technology; 91. loading a visual model; 92. taking down a frame of image data; 93. judging a key frame; 94. preprocessing an image; 95. visual algorithm detection; 96. judging an abnormal condition; 97. and uploading the abnormal information.
Detailed Description
In order to facilitate an understanding of the invention, the invention will now be described more fully hereinafter with reference to the accompanying drawings, in which several embodiments of the invention are shown, but which may be embodied in different forms and not limited to the embodiments described herein, but which are provided so as to provide a more thorough and complete disclosure of the invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may be present, and when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, as the terms "vertical", "horizontal", "left", "right" and the like are used herein for descriptive purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, and the knowledge of the terms used herein in the specification of the present invention is for the purpose of describing particular embodiments and is not intended to limit the present invention, and the term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Please refer to fig. 1-5 in greater detail, an intelligent monitoring device for a concrete casting mold integrated with computer vision technology comprises a track device 2 with horizontal depressions, a detection trolley 1, and an intelligent monitoring algorithm for the concrete casting mold 7 integrated with computer vision technology, wherein the track device 2 with horizontal depressions is installed above a longitudinal support 6 of the casting mold 7, the track device 2 with horizontal depressions has two tracks, the two tracks are internally and externally symmetrical with each other by taking the top end of the longitudinal support as the center and one side of the casting mold 7 as the inner part, and gaps are formed between the two tracks and are parallel to a transverse support of the mold;
the detection trolley 1 runs between two track devices 2 with horizontal depressions and must comprise a power trolley body 11, an edge computing device 12, an image sensing device and a battery 13;
the intelligent monitoring algorithm of the concrete pouring mold 7 fused with the computer vision technology runs on the edge computing equipment 12 of the detection trolley 1, and processes image data transmitted by the image sensor 14, wherein the algorithm steps comprise image preprocessing 94, vision algorithm, abnormal condition judgment 96 and abnormal information uploading 97.
Please refer to fig. 1-4, the width of the power car body 11 is slightly narrower than the distance between the depths of the two horizontal recessed track devices 2, the height of the power car body 11 is slightly smaller than the height of the horizontal recessed track devices 2, the wheel 15 is located below the plane, the image sensor 14 is installed at the center of the lower surface of the power car body 11, the edge computing device 12 and the battery 13 are installed at the upper surface of the power car body 11, a certain covering protection measure can be taken, the power car body 11 comprises three groups of symmetrical wheels 15, at least one group of which can provide power, the horizontal recessed track devices 2 are extended by splicing, the splicing is completed by the fasteners at the two ends of the single horizontal recessed track device 2, the left and right ends of the horizontal recessed track device 2 are respectively provided with a male fastener 3 and a female fastener 4 symmetrically, when in splicing, two groups of buckle male heads 3 of two tracks are connected and fixed with buckle female heads 4, the power of a power vehicle body 11 of the detection trolley 1 and the power supply of the upper edge computing device 12 are provided by a battery 13 on the trolley, the capacity of the battery 13 is not lower than 5000mAh, and direct current of not lower than 12V2A can be output; in the embodiment, when the concrete 8 with the casting mold 7 is cast, the track device 2 with the horizontal recess is arranged above the longitudinal support 6 of the casting mold, the two track devices 2 with the horizontal recess are internally and externally symmetrical by taking the top end of the longitudinal support as the center and one side of the casting mold 7 as the inner part, are parallel to the transverse support of the mold, and a certain gap is formed between the two track devices 2 with the horizontal recess;
the length of a single-section track device 2 with a horizontal recess is 1.5m, the length can be prolonged by splicing, the splicing is realized by a buckle at the tail end of the single-section track device 2 with the horizontal recess, the upper surface and the lower surface of the tail end of the track are respectively provided with a buckle male head 3 and a buckle female head 4, and two groups of buckle male heads 3 of two sections of tracks are connected and fixed with the buckle female heads 4 during splicing;
the detection trolley 1 comprises a power trolley body 11, edge calculation equipment, an image sensor 14 and a battery 13, wherein the power trolley body 11 runs between two track devices 2 with horizontal depressions, the power trolley body 11 of the detection trolley 1 comprises three groups of symmetrical wheels, the wheels in each group of symmetrical wheels respectively run in the depressions of the two track devices 2 with horizontal depressions, the wheels of the power trolley body 11 have rotation capacity, and the energy source is the battery 13 on the detection trolley 1.
Referring to fig. 1, 4 and 5, the edge computing device 12 needs to include a CPU, NPU, RAM, ROM, LTE network communication module, the image sensor 14 may include various types of imaging components, which may include but are not limited to a color camera, an infrared sensor, and a light supplement unit, the image sensor 14 is connected to the edge computing device 12 by a wire, and transmits captured image data to the edge computing device 12, each component of the detection trolley 1 may take certain protection measures, such as covering a housing, and the like, and the intelligent concrete pouring mold monitoring algorithm 9 that incorporates computer vision technology includes seven key steps, that is: loading a visual model 91, taking down a frame of image data 92, judging a key frame 93, preprocessing an image 94, detecting a visual algorithm 95, judging an abnormal condition 96 and uploading abnormal information 97, wherein the visual algorithm 95 is based on a machine learning technology and comprises but is not limited to image classification and target detection; in the embodiment, the image sensor 14 below the detection trolley 1 acquires image data of the mold and the mold support in real time, and transmits the data to the edge computing device 12 on the detection trolley 1 in a wired manner;
the concrete pouring mold intelligent monitoring algorithm 9 integrated with the computer vision technology runs on the edge computing device 12, the concrete pouring mold intelligent monitoring algorithm 9 integrated with the computer vision technology firstly loads a vision model obtained through deep learning, then key frame judgment 93 is carried out on data captured by the image sensor 14 for each frame, if an image of a certain frame is not a key frame, the image data of the next frame is directly taken off 92, otherwise, image preprocessing 94 is carried out on the image data of the frame, then vision algorithm detection 95 is carried out on the preprocessed image data, then abnormal condition judgment is carried out according to a detection result, if the judgment result is that no abnormality exists, the image data of the next frame is taken off 92, otherwise, the abnormal information is uploaded through an LTE network communication module on the edge computing device 12, and then the image data of the next frame is taken off 92.
The specific operation mode of the invention is as follows:
when the concrete 8 with the pouring mold 7 is poured, the detection trolley 1 comprises a power trolley body 11, an edge calculation device 12, an image sensor 14 and a battery 13, the detection trolley body 11 runs between two track devices 2 with horizontal depressions, the power trolley body 11 of the detection trolley 1 comprises three groups of symmetrical wheels, the wheels in each group of symmetrical wheels respectively run in the depressions of the two track devices 2 with horizontal depressions, the image sensor 14 below the detection trolley 1 obtains image data of the mold and a mold support in real time and transmits the data to the edge calculation device 12 on the detection trolley 1 in a wired mode, the edge calculation device 12 runs a concrete pouring mold intelligent monitoring algorithm 9 fused with a computer vision technology, the concrete pouring mold intelligent monitoring algorithm 9 fused with the computer vision technology loads a visual model obtained through deep learning at first, then, a key frame judgment 93 is performed on each frame of data captured by the image sensor 14, if an image of a certain frame is not a key frame, a next frame of image data 92 is directly taken down, otherwise, image preprocessing 94 is performed on the frame of image data, then, visual algorithm detection 95 is performed on the preprocessed image data, then, abnormal condition judgment is performed according to a detection result, if the judgment result is that no abnormality exists, the next frame of image data 92 is taken down, otherwise, the abnormal information is uploaded through an LTE network communication module on the edge computing device 12, and then, the next frame of image data 92 is taken down.
The invention is described above with reference to the accompanying drawings, it is obvious that the invention is not limited to the above-described embodiments, and it is within the scope of the invention to adopt such insubstantial modifications of the inventive method concept and solution, or to apply the inventive concept and solution directly to other applications without modification.
Claims (10)
1. The intelligent concrete pouring mold monitoring device fused with the computer vision technology comprises a rail device (2) with horizontal depressions, a detection trolley (1) and an intelligent concrete pouring mold monitoring algorithm (9) fused with the computer vision technology, and is characterized in that the rail device (2) with the horizontal depressions is installed above a longitudinal support (6) of a pouring mold, the two rail devices (2) with the horizontal depressions are internally and externally symmetrical, gaps are formed between the two rail devices and are parallel to a transverse support (5) of the pouring mold, the top end of the longitudinal support is used as the center, and one side of the pouring mold (7) is used as the inner side;
the detection trolley (1) runs between two track devices (2) with horizontal depressions and must comprise a power trolley body (11), edge computing equipment (12), an image sensing device and a battery (13);
the intelligent concrete pouring mold monitoring algorithm (9) fused with the computer vision technology runs on edge computing equipment (12) of a detection trolley (1) and processes image data transmitted by an image sensor (14), and the algorithm steps comprise image preprocessing (94), a vision algorithm, abnormal condition judgment (96) and abnormal information uploading (97).
2. The intelligent concrete pouring mold monitoring device fused with the computer vision technology as claimed in claim 1, wherein: the width of the power vehicle body (11) is slightly smaller than the distance between the recess depths of the two track devices (2) with horizontal recesses, and the height of the power vehicle body (11) is slightly smaller than the height of the recess of the track device (2) with the horizontal recess.
3. The intelligent concrete pouring mold monitoring device fused with the computer vision technology as claimed in claim 1, wherein: the image sensor (14) is arranged at the center of the lower surface of the power vehicle body (11) with the surface of the wheel (15) as the lower part, the edge computing device (12) and the battery (13) are arranged on the upper surface of the power vehicle body (11) and can take certain covering protection measures, and the power vehicle body (11) comprises three groups of symmetrical wheels (15), wherein at least one group can provide power.
4. The intelligent concrete pouring mold monitoring device fused with the computer vision technology as claimed in claim 1, wherein: rail set (2) with the level is sunken prolong through the concatenation, and the concatenation is accomplished through the buckle that the single section has the rail set (2) both ends of level sunken, and both ends are symmetrical respectively about rail set (2) with the level is sunken to be equipped with buckle male head (3) and buckle female head (4), and two sections orbital two sets of buckle male heads (3) of two sections meet fixedly with buckle female head (4) during the concatenation.
5. The intelligent concrete pouring mold monitoring device fused with the computer vision technology as claimed in claim 1, wherein: the power of the power car body (11) of the detection trolley (1) and the power supply of the upper edge computing device (12) are provided by a battery (13) on the trolley, the capacity of the battery (13) is not less than 5000mAh, and the battery can output direct current of not less than 12V 2A.
6. The intelligent concrete pouring mold monitoring device fused with the computer vision technology as claimed in claim 1, wherein: the edge computing device (12) needs to contain a CPU, NPU, RAM, ROM, LTE network communication module.
7. The intelligent concrete pouring mold monitoring device fused with the computer vision technology as claimed in claim 1, wherein: the image sensor (14) may include various types of imaging components, and may include (without limitation) a color camera, an infrared sensor, and a light supplement unit, and the image sensor (14) is connected to the edge computing device (12) by a wire, and transmits captured image data to the edge computing device (12).
8. The intelligent concrete pouring mold monitoring device fused with the computer vision technology as claimed in claim 1, wherein: the various components of the detection trolley (1) may take certain protective measures, such as covering the housing, etc.
9. The intelligent concrete pouring mold monitoring device fused with the computer vision technology as claimed in claim 1, wherein: the intelligent concrete pouring mold monitoring algorithm (9) fused with the computer vision technology comprises seven key steps, namely: the method comprises the steps of loading a visual model (91), taking down a frame of image data (92), judging a key frame (93), preprocessing an image (94), detecting a visual algorithm (95), judging an abnormal condition (96) and uploading abnormal information (97).
10. The intelligent concrete pouring mold monitoring algorithm fused with computer vision technology according to claim 9, is characterized in that: the visual algorithmic detection (95) is based on machine learning techniques including, but not limited to, image classification, object detection.
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| CN202011092539.6A CN112241949A (en) | 2020-10-13 | 2020-10-13 | Concrete placement mould intelligent monitoring device that fuses computer vision technique |
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| CN202011092539.6A CN112241949A (en) | 2020-10-13 | 2020-10-13 | Concrete placement mould intelligent monitoring device that fuses computer vision technique |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113119294A (en) * | 2021-04-14 | 2021-07-16 | 上海浦东混凝土制品有限公司 | Automatic production process of concrete prefabricated product |
| CN113585269A (en) * | 2021-09-27 | 2021-11-02 | 国能大渡河大数据服务有限公司 | Construction safety monitoring method and system for hydropower engineering |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107345451A (en) * | 2017-07-31 | 2017-11-14 | 青岛九合重工机械有限公司 | A kind of concrete pumping casting method |
| CN108908675A (en) * | 2018-09-22 | 2018-11-30 | 湖北三丰机器人有限公司 | One kind pouring type AGV |
| KR101936218B1 (en) * | 2018-07-11 | 2019-01-08 | 주식회사 삼표 | Artificial intelligence learning-based ready-mixed concrete production system |
| JP2020041290A (en) * | 2018-09-07 | 2020-03-19 | 学校法人金沢工業大学 | Optimal compaction determination construction system for concrete |
| CN111582188A (en) * | 2020-05-11 | 2020-08-25 | 广东创成建设监理咨询有限公司 | Concrete pouring side station supervision method based on artificial intelligence |
| CN111576160A (en) * | 2020-05-28 | 2020-08-25 | 安徽建筑大学 | Intelligent concrete health preserving system and health preserving equipment |
| CN111582191A (en) * | 2020-05-11 | 2020-08-25 | 广东创成建设监理咨询有限公司 | Pouring amount estimation method in concrete pouring based on artificial intelligence video analysis |
| CN111678920A (en) * | 2020-06-17 | 2020-09-18 | 深圳市人工智能与机器人研究院 | Detection system |
-
2020
- 2020-10-13 CN CN202011092539.6A patent/CN112241949A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107345451A (en) * | 2017-07-31 | 2017-11-14 | 青岛九合重工机械有限公司 | A kind of concrete pumping casting method |
| KR101936218B1 (en) * | 2018-07-11 | 2019-01-08 | 주식회사 삼표 | Artificial intelligence learning-based ready-mixed concrete production system |
| JP2020041290A (en) * | 2018-09-07 | 2020-03-19 | 学校法人金沢工業大学 | Optimal compaction determination construction system for concrete |
| CN108908675A (en) * | 2018-09-22 | 2018-11-30 | 湖北三丰机器人有限公司 | One kind pouring type AGV |
| CN111582188A (en) * | 2020-05-11 | 2020-08-25 | 广东创成建设监理咨询有限公司 | Concrete pouring side station supervision method based on artificial intelligence |
| CN111582191A (en) * | 2020-05-11 | 2020-08-25 | 广东创成建设监理咨询有限公司 | Pouring amount estimation method in concrete pouring based on artificial intelligence video analysis |
| CN111576160A (en) * | 2020-05-28 | 2020-08-25 | 安徽建筑大学 | Intelligent concrete health preserving system and health preserving equipment |
| CN111678920A (en) * | 2020-06-17 | 2020-09-18 | 深圳市人工智能与机器人研究院 | Detection system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113119294A (en) * | 2021-04-14 | 2021-07-16 | 上海浦东混凝土制品有限公司 | Automatic production process of concrete prefabricated product |
| CN113585269A (en) * | 2021-09-27 | 2021-11-02 | 国能大渡河大数据服务有限公司 | Construction safety monitoring method and system for hydropower engineering |
| CN113585269B (en) * | 2021-09-27 | 2021-12-17 | 国能大渡河大数据服务有限公司 | Construction safety monitoring method and system for hydropower engineering |
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Application publication date: 20210119 |