Auxiliary alignment device for integral hoisting of reinforcement cage
By introducing a combination technology of image recognition module and electromagnetic coil in the steel cage lifting system, the problems of poor mold entry accuracy and low construction efficiency caused by shaking of the steel cage during lifting are solved, and a more efficient lifting and mold entry process is achieved.
Patent Information
- Application Number
- CN202411850670.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-04-08
AI Technical Summary
During the lifting of steel cages, shaking is caused by inertia, which in turn affects the accuracy of mold entry and construction efficiency.
The reinforced cage integral lifting auxiliary alignment device is adopted, including a crane, an embedded system and an image recognition module. The image recognition module detects the position of the steel cage and adsorbs it through the electromagnetic coil, and embeds the system to communicate with the mobile phone application to achieve secondary positioning.
The adsorption effect of the electromagnetic coil reduces the shaking of the steel cage, improves the lifting efficiency, ensures the accuracy of mold entry, and reduces construction time and manual errors.
Smart Images

Figure CN119774448A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of steel cage hoisting, and in particular relates to a steel cage integral hoisting auxiliary alignment device. Background Art
[0002] The placement of the steel cage into the mold is one of the key steps in the production process of prefabricated components. Its quality and accuracy directly affect the performance and service life of the final component. Therefore, when placing the steel cage into the mold, it is necessary to strictly follow the design requirements and construction specifications, and carry out necessary quality control and inspection.
[0003] During the process of lifting the steel cage, due to the inertia of the steel cage, the steel cage will shake when the crane stops when it is lifted to the approximate position. In addition, due to the small gap between the steel cage and the inner wall of the mold, it is impossible to accurately judge whether the steel cage is hoisted in place during the shaking process. Moreover, when the steel cage is hoisted into the template as a whole, it is aligned by the mechanical limit device installed on the template. Therefore, each time the steel cage is hoisted, the crane operator cannot judge whether the position of the steel cage is accurate before the steel cage is lowered, and must rely on the ground personnel to judge the position of the steel cage with the naked eye. If the position is judged by the naked eye, it must be lowered several times before the steel cage can be accurately placed in the template. The lowering of the steel cage takes a long time and the construction efficiency is low. In addition, the manual mold insertion method will lead to poor alignment accuracy and easy deviation of the steel bars. The accuracy of manual mold insertion is affected by the workers' technical level and experience. It is difficult to ensure the consistency of the size and shape of each component. Manual mold insertion is prone to omissions and errors, which can easily affect the quality of the component. Summary of the invention
[0004] In order to solve the above problems existing in the prior art, the present invention provides a device for auxiliary alignment of the overall lifting of a steel cage, which solves the problem that the existing steel cage has poor accuracy and low construction efficiency during the mold insertion process due to shaking during the lifting process.
[0005] The objective of the present invention can be achieved through the following technical solutions: a device for assisting in the overall hoisting and alignment of a steel cage, comprising a crane, an embedded system and an image recognition module, wherein the crane is used to hoist the steel cage, the image recognition module is installed on the bottom surface of the hoisting end of the crane, a plurality of positioning points are provided on the top surface of the mold, an electromagnetic coil is wound around the top outer wall of the mold, a plurality of the positioning points are arranged around the outer side of the top surface of the mold and enclose a positioning area, when the image recognition module detects that the steel cage is located in the positioning area, the electromagnetic coil is energized to adsorb the steel cage, the image recognition module identifies the positioning point identifier and calculates the position of the steel cage and transmits the calculation result to the embedded system, the embedded system is connected to a mobile phone application for communication, and the operator performs secondary positioning of the steel cage according to the data transmitted by the embedded system.
[0006] As a preferred technical solution of the present invention, it also includes a plurality of tension detectors. The crane hoists the steel cage through a plurality of hinges, and the plurality of tension detectors detect the tension of the hinges connected to the four corners of the steel cage.
[0007] As a preferred technical solution of the present invention, the image recognition module includes two visual detectors, and the two visual detectors are symmetrically arranged with the width direction of the steel cage as the axis.
[0008] As a preferred technical solution of the present invention, the detection field of the visual detector is arranged perpendicular to the top surface of the mold.
[0009] As a preferred technical solution of the present invention, at least two positioning points are provided, and the spacing between the two positioning points is the same as the installation spacing between the two visual detectors.
[0010] As a preferred technical solution of the present invention, the secondary positioning is completed so that the positioning point corresponds to the horizontal projection position of the visual detector on the top surface of the mold.
[0011] As a preferred technical solution of the present invention, the electromagnetic coil adjusts the current according to the detection result of the tension detector.
[0012] The beneficial effects of the present invention are as follows: the adsorption effect of the electromagnetic coil is used to reduce the shaking of the steel cage during the lifting process, which causes a lot of time to be spent on calibration, thereby improving the process of avoiding repeated position adjustment of the steel cage, improving the overall lifting efficiency of the steel cage, and solving the problem of poor accuracy and low construction efficiency of the steel cage during the mold insertion process due to the shaking of the existing steel cage during the lifting process. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0014] Figure 1 It is a structural schematic diagram of the present invention;
[0015] Figure 2 A top view of the mold of the present invention;
[0016] Main component symbols
[0017] In the figure: 1. Crane; 2. Visual detector; 3. Steel cage; 4. Positioning point; 5. Electromagnetic coil. DETAILED DESCRIPTION
[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.
[0019] See also Figure 1-Figure 2 The present embodiment provides a reinforcement cage integral hoisting auxiliary alignment device, including a crane 1, an embedded system and an image recognition module. The crane 1 is used to hoist the reinforcement cage 3. The image recognition module is installed on the bottom surface of the hoisting end of the crane 1. A plurality of positioning points 4 are arranged on the top surface of the mold to be molded. At the same time, an electromagnetic coil 5 is wound around the top outer wall of the mold. The plurality of positioning points 4 are arranged around the outer side of the top surface of the mold and enclosed to form a positioning area. When the reinforcement cage 3 is hoisted, the crane 1 hoists the reinforcement cage 3 from the tire frame to the top of the mold template, so that the image recognition module recognizes the position of the positioning point 4 during the hoisting process. When the image recognition When the module recognizes the position of the positioning point 4 and determines that the steel cage 3 is located in the positioning area, the electromagnetic coil 5 will be energized at this time, thereby generating an electromagnetic field to adsorb the steel cage 3. When the image recognition module recognizes the mark of the positioning point 4, the crane 1 stops lifting. At this time, the steel cage 3 will shake due to inertia. At this time, the electromagnetic coil 5 will adsorb the steel cage 3, allowing the steel cage 3 to be pulled by a continuous downward external force, thereby reducing the shaking time of the steel cage 3 under the action of the external force, allowing the steel cage 3 to maintain a stable state more quickly, and when the state of the steel cage 3 When the state is basically stable and remains in a static state, the image recognition module will re-recognize the mark of the positioning point 4 to determine whether the steel cage 3 can be accurately aligned with the mold when it is in a static state. If it is determined that the position of the steel cage 3 still has a deviation, the image recognition module will calculate the position where the steel cage 3 needs to move according to the mark of the positioning point 4 and transmit the calculation result to the embedded system. The embedded system is then connected to the mobile phone application. The crane 1 operator re-positions the steel cage 3 according to the data transmitted by the embedded system, so that the steel cage 3 can be accurately aligned with the mold. During the operation, the image recognition module can accurately identify the relative position of the steel cage 3 and the template in real time, and prompt the operator of the crane 1 in the direction and distance of travel, which can reduce the accuracy requirements for the manual recognition of the position of the steel cage 3 by the naked eye. At the same time, the adsorption effect of the electromagnetic coil 5 can reduce the shaking of the steel cage 3 during the lifting process, which causes a lot of time to be spent on calibration, thereby avoiding the process of repeatedly adjusting the position of the steel cage 3, improving the overall lifting efficiency of the steel cage 3, and solving the problem of poor accuracy and low construction efficiency of the steel cage 3 during the molding process due to the shaking of the existing steel cage 3 during the lifting process.
[0020] In order to ensure that the steel cage 3 can be accurately put into the mold and ensure the stability of the steel cage 3 during the lifting process, in this embodiment, multiple tension detectors are also included. The crane 1 lifts the steel cage 3 through multiple hinges, and multiple tension detectors detect the tension of the hinges connected to the four corners of the steel cage 3. In the process of lifting the steel cage 3, the crane 1 usually uses hinges, chains or ropes for lifting. In order to ensure that the steel cage 3 can be accurately put into the mold and can be lifted smoothly at the same time, the shaking amplitude of the steel cage 3 during the lifting process is reduced, thereby accelerating the stabilization speed of the steel cage 3, and the hinge of the lifting steel cage 3 is detected by the tension detector. By detecting the tension of the hinge, it is determined whether the steel cage 3 is balanced in force during the lifting process, thereby avoiding the steel cage 3 from tilting during lifting, so that the steel cage 3 will not be affected by the lifting efficiency due to the increase of the shaking amplitude caused by the uneven force of the steel cage 3 during the lifting process, and at the same time ensure that the steel cage 3 will not be unable to accurately complete the mold entry due to the tilt of the steel cage 3 during the mold.
[0021] In order to better and faster complete the recognition of the position of the steel cage 3 for accurate mold insertion, in one embodiment, the image recognition module includes two visual detectors 2, and the two visual detectors 2 are symmetrically arranged with the width direction of the steel cage 3 as the axis. When the steel cage 3 is hoisted, the two visual detectors 2 in the image recognition module are allowed to shoot orthophotos in real time. The embedded system recognizes the image signal transmitted by the camera through the image recognition program, and monitors the position of the template positioning point 4 marked in the image captured by the visual detector 2 in real time. Since the two visual detectors 2 are symmetrically arranged on both sides of the steel cage 3, when the visual detector 2 detects the position of the positioning point 4 and determines whether the steel cage 3 is located in the positioning area according to the position of the positioning point 4, the distance between the current positioning point 4 and the center of the image is obtained through the images captured in the two visual detectors 2 to obtain the difference between the current position of the steel cage 3 and the alignment position in a certain direction, thereby completing the accurate mold insertion of the steel cage 3.
[0022] In order to ensure the detection accuracy of the visual detector 2 and thus complete the precise mold insertion of the steel cage 3, in one embodiment, the detection field of the visual detector 2 is set perpendicular to the top surface of the mold. This can minimize the visual deviation caused by angle errors, thereby improving the accuracy of detection.
[0023] In order to improve the detection accuracy and the mold insertion accuracy of the steel cage 3, in one embodiment, at least two positioning points 4 are provided, and the spacing between the two positioning points 4 is the same as the installation spacing of the two visual detectors 2, so that the spacing between the two positioning points 4 is consistent with the installation spacing of the two visual detectors 2. This can simplify the calculation and adjustment process and improve the accuracy of alignment.
[0024] In order to ensure the accuracy of the secondary positioning of the steel cage 3, reduce the occurrence of positioning deviations, and improve the efficiency of the steel cage 3 entering the mold, in one embodiment, the secondary positioning is completed so that the positioning point 4 corresponds to the horizontal projection position of the visual detector 2 on the top surface of the mold, and when the two positioning points 4 are both located in the center of the image taken by the camera, it means that the steel cage 3 has been correctly aligned with the template and the mold entry operation can be started. By comparing the position of the actual positioning point 4 with the theoretically preset projection position of the visual detector 2, the horizontal deviation is determined and then adjusted to ensure the accuracy of the secondary positioning.
[0025] In order to better improve the stability and accuracy of the steel cage 3 when it is put into the mold, in one embodiment, the electromagnetic coil 5 adjusts the power-on current according to the detection result of the tension detector. When the detection value of the tension detector jumps, it means that the steel cage 3 is still in a shaking state. At this time, the current flowing in the electromagnetic coil 5 can be increased, and the adsorption force of the electromagnetic coil 5 on the steel cage 3 can be increased, so that the steel cage 3 can maintain stability faster. When the value detected by the tension detector tends to be stable, the current in the electromagnetic coil 5 can be gradually reduced until the flow of current is cut off, thereby avoiding the situation where the steel cage 3 is affected by the electromagnetic force during the process of being put into the mold and causing deviation, thereby ensuring that the steel cage 3 can be smoothly put into the mold.
[0026] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.
Claims
1. A reinforcement cage integral hoisting auxiliary alignment device, characterized in that: It includes a crane, an embedded system and an image recognition module, the crane is used to lift a steel cage, the image recognition module is installed on the bottom surface of the lifting end of the crane, a plurality of positioning points are arranged on the top surface of the mold, an electromagnetic coil is wound around the top outer wall of the mold, a plurality of the positioning points are arranged around the outer side of the top surface of the mold and enclose a positioning area, when the image recognition module detects that the steel cage is located in the positioning area, the electromagnetic coil is energized to adsorb the steel cage, the image recognition module identifies the positioning point identifier and calculates the position of the steel cage and transmits the calculation result to the embedded system, the embedded system is connected to the mobile phone application, and the operator performs secondary positioning of the steel cage according to the data transmitted by the embedded system.
2. The reinforcement cage integral hoisting auxiliary alignment device according to claim 1 is characterized in that: It also includes a plurality of tension detectors. The crane hoists the steel cage through a plurality of hinges, and the plurality of tension detectors detect the tension of the hinges connected to the four corners of the steel cage.
3. The reinforcement cage integral hoisting auxiliary alignment device according to claim 1 is characterized in that: The image recognition module includes two visual detectors, and the two visual detectors are symmetrically arranged with the width direction of the steel cage as an axis.
4. The reinforcement cage integral hoisting auxiliary alignment device according to claim 3 is characterized in that: The detection field of the visual detector is arranged perpendicularly to the top surface of the mold.
5. The reinforcement cage integral hoisting auxiliary alignment device according to claim 3 is characterized in that: There are at least two positioning points, and the spacing between the two positioning points is the same as the installation spacing between the two visual detectors.
6. The reinforcement cage integral hoisting auxiliary alignment device according to claim 3 is characterized in that: The secondary positioning is completed so that the positioning point corresponds to the horizontal projection position of the visual detector on the top surface of the mold.
7. The reinforcement cage integral hoisting auxiliary alignment device according to claim 2 is characterized in that: The electromagnetic coil adjusts the current according to the detection result of the tension detector.