Intelligent ascending and descending detection device for construction hoist
By installing visual inspection modules and distance sensing modules on intelligent construction hoists, the problems of delayed detection response and mechanical damage have been solved, enabling real-time and accurate obstacle detection and improving safety and structural stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- TAIZHOU JIAOJIANG XUETIAN CRANE MASCH PLANT
- Filing Date
- 2025-05-07
- Publication Date
- 2026-04-21
AI Technical Summary
Existing obstacle detection technologies for intelligent construction hoists suffer from delayed detection response, are prone to rigid collisions, pose a high risk of mechanical structural damage, and cannot accurately identify obstacle conditions.
The system employs a visual detection module and a distance sensing module. The visual detection module performs image recognition of obstacles and generates position and distance data, while the distance sensing module performs redundancy detection. The control module controls the operation of the elevator based on the data.
It enables real-time and accurate detection of obstacles, reduces the risk of collision, improves the stability and safety of mechanical structures, and can identify the specific situation of obstacles.
Smart Images
Figure CN224147445U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of hoist technology, and more specifically, to an intelligent construction hoist up and down detection device. Background Technology
[0002] In the construction industry, traditional construction hoists rely on dedicated operators who frequently travel between building floors to transport materials and personnel. With the widening shortage of skilled workers in the construction industry and the continuous rise in labor costs, intelligent control technology has become a core direction for the iterative upgrading of construction hoists.
[0003] Currently, although intelligent construction hoists have been gradually applied to construction sites, their safety mechanisms still have technical shortcomings. Taking a typical obstacle detection system as an example, some equipment still uses a top spring contact detection scheme: when the hoist cage touches a protruding obstacle during operation, the spring triggers a stop mechanism. This scheme has significant drawbacks: the detection response is delayed, requiring physical contact with the obstacle before triggering the action; the braking buffer time is insufficient, making it difficult to avoid rigid collisions; unilateral force can easily cause jamming, increasing the risk of mechanical structural damage; and the equipment has poor durability, with frequent collisions easily causing deformation of the hoist cage structure. These problems highlight the limitations of existing detection technologies in adapting to dynamic environments.
[0004] Chinese utility model patent CN220245175U discloses an obstacle detection device for an intelligent construction hoist. This device uses an ultrasonic ranging device to detect the presence of obstacles within the operating space. When the hoist cage detects an obstacle above it during ascent or an object below it (including obstacles and the bottom of the elevator shaft) when descending, the alarm circuit is activated, triggering an audible and visual alarm and braking action. While this detection device primarily uses ultrasonic waves for obstacle detection, ultrasonic waves can only detect obstacles but cannot determine their specific nature, which is detrimental to subsequent processing. Utility Model Content
[0005] The main objective of this invention is to propose an intelligent construction hoist up and down detection device to solve the technical problems mentioned in the background art.
[0006] To address the aforementioned technical problems, this utility model proposes an intelligent construction hoist up and down detection device. The intelligent construction hoist includes a standard section and a lifting device. The detection device comprises:
[0007] The visual detection module is used to detect obstacles in the area of the lifting device's movement path and send the detection information to the processing module.
[0008] The processing module is electrically connected to the vision inspection module;
[0009] And a control module, used to control the operating status of the lifting device;
[0010] The control module is electrically connected to the processing module. The processing module processes the information from the vision detection module and transmits it to the control module, which then controls the operation of the lifting device accordingly.
[0011] In the above technical solution, the visual inspection module is further used to detect the offset of the standard section and the connection nodes of the standard section.
[0012] In any of the above technical solutions, the visual inspection module has two sets, which are respectively set at the bottom and top of the lifting device, so as to detect the upper area and the lower area of the lifting device respectively.
[0013] In any of the above technical solutions, the visual detection module is further defined as a camera.
[0014] In any of the above technical solutions, further comprising:
[0015] The distance sensing module is used to detect the distance between the lifting device and obstacles in its movement path area, as well as the height of the lifting device above the ground.
[0016] The distance sensing module and the processing module are electrically connected.
[0017] In any of the above technical solutions, further, the distance sensing module has two sets, which are respectively set at the bottom and top of the lifting device, so as to detect the upper area and the lower area of the lifting device respectively.
[0018] In any of the above technical solutions, the distance sensing module is further selected from one or more of ultrasonic sensors, lidar, and millimeter-wave radar.
[0019] Beneficial effects: Compared with existing technologies, a visual detection module is adopted to detect obstacles through visual detection, thereby facilitating the subsequent control of the lifting device's operating status. Attached Figure Description
[0020] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0021] Figure 1 This is a side view of the structure of this utility model;
[0022] Figure 2 This is a top view of the structure of this utility model;
[0023] Figure 3 This is a bottom view structural diagram of this utility model;
[0024] Figure 4 This is the connecting frame of the detection device of this utility model.
[0025] The annotations in the attached figures are explained as follows:
[0026] 1. Standard section; 2. Lifting device; 3. Detection module: 31. Visual inspection module; 32. Processing module; 33. Control module; 34. Distance sensing module. Detailed Implementation
[0027] Hereinafter, exemplary embodiments according to this application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely a part of the embodiments of this application, and not all of the embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this utility model without inventive effort are within the scope of protection of this utility model.
[0028] It should be noted that, as shown in this application and claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of explicitly identified steps and elements, and these steps and elements do not constitute an exclusive list; the method or apparatus may also include other steps or elements.
[0029] If the embodiments of this utility model involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.
[0030] In this utility model, unless otherwise explicitly specified and limited, the terms "connection," "fixing," etc., should be interpreted broadly. For example, "fixing" can mean a fixed connection, a detachable connection, or an integral part; it can mean a mechanical connection or an electrical connection; it can mean a direct connection or an indirect connection through an intermediate medium; it can mean the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.
[0031] Furthermore, if the embodiments of this utility model involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the meaning of "and / or" throughout the text includes three parallel solutions; for example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this utility model.
[0032] An intelligent construction hoist includes a standard section 1 and a lifting device 2. The standard section 1 is a steel structural component that supports the lifting device 2 and provides a movement path for the lifting device 2, and they are assembled by stacking them from bottom to top. To solve the problem of the lifting device 2 colliding with obstacles during its vertical movement, this utility model proposes an upward and downward detection device for the intelligent construction hoist.
[0033] The following embodiments will provide a detailed description of the intelligent construction hoist up and down detection device of this application.
[0034] Example 1:
[0035] like Figures 1-4 As shown, in this embodiment, an intelligent construction hoist up and down detection device includes: a visual detection module 31:3, used to collect image information of the moving path area of the hoist 2, detect obstacles based on an image recognition algorithm, and send the detected information to a processing module 32; a processing module 32, communicatively connected to the visual detection module 31:3, with a built-in image recognition algorithm, used to receive image information and generate obstacle position and distance data, and send the results wirelessly; and a control module 33, communicatively connected to the processing module 32, used to control the operating status of the hoist 2 according to the obstacle position and distance data;
[0036] In this process, after the visual detection module 31:3 detects an obstacle, the control unit controls the operating speed of the lifting device 2, causing it to move at a low speed or stop moving.
[0037] It should be noted that, in order to detect detailed obstacle data and facilitate subsequent processing, a 31:3 visual detection module was used to detect obstacles through visual detection.
[0038] In this embodiment, the optimized visual inspection module 31:3 is also used to detect the offset of the standard section 1 and the connection nodes of the standard section 1. The normality of the standard section 1 plays a decisive role in whether the lifting device 2 can operate. If the standard section 1 is damaged and not repaired in time, it will seriously affect the stability of the lifting device 2. For example, if the connection nodes (bolts) on the standard section 1 become loose, it will lead to a decrease in the stability of the standard section 1. Therefore, the visual inspection module 31:3 also monitors the status of each connection node on the standard section 1.
[0039] Specifically, the visual detection module 31:3 is a binocular camera with a baseline distance of 10-50cm, supporting simultaneous output of RGB images and depth information. Obstacles (such as tools and building materials) in the elevator's movement path require precise distance measurement to determine whether to trigger an emergency stop or deceleration. The binocular camera can directly output the three-dimensional coordinates of the obstacles, which is more reliable than a monocular camera (which relies on prior dimensions or motion estimation).
[0040] On the other hand, loose bolts or misaligned connectors on standard section 1 can cause minor deformation. Using a binocular camera, an image matching algorithm identifies the looseness or absence of bolts at the connection nodes of standard section 1, capturing subtle structural changes (such as bolt displacement or corrosion), thus facilitating quick handling by staff. In severe weather conditions (strong winds), standard section 1 may sway or deform, causing lateral displacement. This can be detected by the binocular camera. By acquiring 3D point cloud data of standard section 1, its lateral displacement relative to a reference position can be calculated, thereby quantifying the degree of deformation of standard section 1.
[0041] A binocular camera is an imaging device that mimics the principle of human binocular vision. It uses two cameras side by side (similar to the left and right eyes of a human eye) to simultaneously capture the same scene and uses the disparity between the images to calculate the distance and three-dimensional information of objects.
[0042] Two cameras are arranged parallel to each other at a fixed baseline distance to capture two images of the same scene. Due to the difference in viewing angle (parallax), the pixel positions of the same object are different in the two images. By matching corresponding pixels in the two images, the parallax value (d = xleft - xright) is calculated. Combined with the baseline distance (B) and the camera focal length (f), the distance (Z) from the object to the camera is calculated using the formula Z = B * f / d, thereby achieving three-dimensional spatial perception.
[0043] Since binocular camera technology is very mature, and this application only uses the structure without making any improvements, it will not be described in detail here.
[0044] In this embodiment, it should be noted that the visual inspection module 31:3 has two sets, which are respectively set at the bottom and top of the lifting device 2 to detect the upper and lower areas of the lifting device 2, thereby realizing the upward and downward detection of the lifting device 2.
[0045] The visual inspection module 31:3 includes a top camera group and a bottom camera group, with at least two of each. At least one top camera group and at least one bottom camera group are installed on the top and bottom sides of the lifting device 2 at a tilt angle of 15° to 45°, respectively, facing the standard section 1. The other top camera group and bottom camera group are installed in the middle of the top and bottom of the lifting device 2, respectively, with their illumination ranges facing upwards and downwards, covering an area 10 meters above and 10 meters below the lifting device 2 to achieve all-round inspection.
[0046] Example 2:
[0047] This embodiment is a further improvement based on the above embodiment.
[0048] like Figures 1-4 As shown, in this embodiment, it also includes: a distance sensing module 34, used to detect the distance between the lifting device 2 and obstacles in its movement path area, and the height of the lifting device 2 from the ground.
[0049] The distance sensing module 34 is electrically connected to the processing module 32. The processing module 32 processes the received distance signal and sends it to the control module 33.
[0050] Based on the visual detection module 31:3, a distance sensing module 34 is added to fuse the data of the two to generate a redundant detection signal. The control module 33 then triggers deceleration, stop, or alarm actions based on the redundant detection signal.
[0051] It should be noted that there are two sets of distance sensing modules 34, which are respectively located at the bottom and top of the lifting device 2 to detect the upper and lower areas of the lifting device 2. The arrangement of the distance sensing modules 34 is consistent with that of the vision sensing modules to facilitate installation and improve detection accuracy.
[0052] The distance sensing module 34 includes at least one of the following sensor combinations: millimeter-wave radar; lidar; ultrasonic sensor.
[0053] Preferably, an ultrasonic sensor is used, wherein the bottom ultrasonic group faces the downward path of the elevator, with a detection angle of 30°~45°; the top ultrasonic group is tilted upward at 15°, and the detection range covers an area of 5 meters above; the working frequency is 40kHz, and the pulse coding method is differential binary phase shift keying (DBPSK).
[0054] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.
Claims
1. An up-down detection device for a smart construction elevator, the smart construction elevator comprising: The standard section (1) and the lifting device (2) are characterized in that the detection device includes: Visual detection module (31): (3), used to detect obstacles in the moving path area of the lifting device (2) and send the detected information to the processing module (32). The processing module (32) is electrically connected to the visual detection module (31) (3); and a control module (33) for controlling the operating status of the lifting device (2); The control module (33) is electrically connected to the processing module (32). The processing module (32) processes the information of the visual detection module (31): (3) and transmits it to the control module (33). The control module (33) controls the operation of the lifting device (2) accordingly.
2. The intelligent construction elevator up-down detection device of claim 1, wherein, The visual inspection module (31): (3) is also used to detect the offset of the standard section (1) and the connection nodes of the standard section (1).
3. The intelligent construction elevator up-down detection device of claim 2, wherein, The visual detection module (31): (3) has two sets, which are respectively set at the bottom and top of the lifting device (2) to detect the upper and lower areas of the lifting device (2) respectively.
4. The intelligent construction elevator up / down detection device of claim 1, wherein, The visual detection module (31): (3) is a camera.
5. The up and down detection device for intelligent construction elevator according to any one of claims 1-4, characterized in that, Also includes: The distance sensing module (34) is used to detect the distance between the lifting device (2) and obstacles in its movement path area, as well as the height of the lifting device (2) above the ground. The distance sensing module (34) is electrically connected to the processing module (32).
6. The intelligent construction elevator up / down detection device of claim 5, wherein, The distance sensing module (34) has two sets, which are respectively located at the bottom and top of the lifting device (2) to detect the upper and lower areas of the lifting device (2).
7. The intelligent construction hoist upward and downward detection device as described in claim 5, characterized in that, The distance sensing module (34) is one or more of an ultrasonic sensor, a lidar, and a millimeter-wave radar.
Citation Information
Patent Citations
Obstacle detection device for intelligent construction hoist
CN220245175U