Unattended construction hoist

Abstract

The invention relates to an unattended construction hoist which comprises a hoist body, a landing door and a control system, the control system comprises a hoist driver installed on the hoist body, an electromagnetic control lock is installed at the landing door, and limiting devices are arranged at the upper end and the lower end of the hoist body respectively. Cage doors are movably installed on the two sides of the elevator body respectively, and a monitoring camera is installed on the inner top face of the elevator body. When the electromagnetic control lock is locked, the electromagnetic control lock outputs a locking signal to the control system, the control system transmits the signal to the elevator driver, and the elevator driver controls the elevator body to operate. Unmanned driving of the construction site is achieved, various accident potentials caused by human factors are reduced, the product technical level of the construction hoist is improved, and the intelligence level of the construction site is improved.

Description

Technical Field

[0001] This invention specifically relates to an unattended construction hoist. Background Technology

[0002] In the traditional construction industry, construction hoists are generally operated by manned operators, requiring dedicated personnel to control and maintain them. This approach has the following drawbacks: (1) The technology is relatively outdated and the level of intelligence is low, which is inconsistent with the currently advocated smart construction site solutions. (2) Dedicated personnel are required to operate the construction hoist, thus posing safety hazards such as driver fatigue and improper operation. To address these issues, an unmanned construction hoist is proposed. Summary of the Invention

[0003] In view of the shortcomings of the prior art, the technical problem to be solved by the present invention is to provide an unattended construction hoist.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: an unattended construction hoist, comprising: a hoist body, landing doors, and a control system. The control system includes a hoist driver installed on the hoist body, an electromagnetic control lock installed at the landing doors, limit devices respectively provided at the upper and lower ends of the hoist body, cage doors movably installed on both sides of the hoist body, and a monitoring camera installed on the inner top surface of the hoist body. When the electromagnetic control lock is locked, the electromagnetic control lock outputs a locking signal to the control system, the control system sends a signal to the hoist driver, and the hoist driver controls the operation of the hoist body.

[0005] Preferably, the control system further includes: The encoder unit sends high-speed pulse signals to the elevator body. The human-machine interface is connected to the elevator drive and displays the parameter information of the elevator drive. The status indicator panel is connected to the elevator driver and reflects the status of the elevator driver in real time. The automatic control unit controls the opening and closing of the elevator cage door; The external call and dispatch unit is connected to the construction hoist drive and includes an external call display unit and an elevator dispatcher. The external call display unit is located on each floor and collects the call commands of the corresponding floor and displays various statuses. The elevator dispatcher is connected to the construction hoist drive and collects the status information of the construction hoist in real time. It is also connected to the external call display unit to read the external call commands of each floor and the control system used to control the hoist body and the landing doors. The real-time monitoring unit is connected to the elevator drive and uses a camera image processing system and camera image processing method to detect whether the staff inside the elevator are wearing safety helmets.

[0006] Preferably, the camera image processing system includes: The image acquisition module is used to acquire video images generated in real time. The location acquisition module is used to perform image recognition on the video image and obtain the position of the human face, and to perform image recognition on the video image and obtain the position of the human head based on the human head detection model; The portrait position comparison module is used to determine whether there is a one-to-one correspondence between the current portrait position and the head position; The location acquisition module includes: a pixel segmentation unit for segmenting the corrected image into pixels to obtain a data packet; a data packet decoding unit for decoding the data packet to obtain a decoded image; and an image recognition unit for performing image recognition on the decoded image and obtaining the image position and head position.

[0007] Preferably, it also includes a video output module, which is used to output segmented images of each moment in chronological order and at a preset frame rate to obtain the video to be played.

[0008] Preferably, the camera image processing method includes the following steps: Acquire real-time captured video images, perform image recognition on the video images to obtain the position of the human face, and use a head detection model to perform image recognition on the video images to obtain the position of the human head; The combined state of the human head and helmet is obtained based on the amount of overlap between the human image position and the human head position. The combined state of the human head and helmet is used to determine whether a helmet is being worn. If a helmet is not being worn, the driving command fails to pass verification.

[0009] Preferably, the step of performing image recognition on the video image and obtaining the position of the human face includes: segmenting the corrected image into pixels to obtain a data packet; decoding the data packet to obtain a decoded image; and performing image recognition on the decoded image to obtain the position of the human face.

[0010] Preferably, the combined state of the head and helmet includes: calculating the corresponding value of the combined head and helmet based on the corresponding values ​​of the image position and the head position; when the two corresponding values ​​are equal, the combined head and helmet state is normal; otherwise, the combined head and helmet state is abnormal.

[0011] Compared with the prior art, the present invention has the following beneficial effects: it realizes unmanned driving on construction sites, reduces various accident hazards caused by human factors, improves the product technology level of construction hoists, and enhances the intelligence level of construction sites. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the structure of an embodiment of the present invention.

[0013] The markings in the diagram are: 1. Elevator body; 2. Limiting device; 3. Cage door. Detailed Implementation

[0014] To make the above features and advantages of the present invention more apparent and understandable, specific embodiments are described below in conjunction with the accompanying drawings for detailed explanation.

[0015] like Figure 1 As shown, an unattended construction hoist includes: a hoist body 1, landing doors, and a control system. The control system includes a hoist driver installed on the hoist body. An electromagnetic control lock is installed at the landing door. Limit devices 2 are respectively provided at the upper and lower ends of the hoist body. Cage doors 3 are movably installed on both sides of the hoist body 1. A monitoring camera is installed on the inner top surface of the hoist body 1. When the electromagnetic control lock is locked, the electromagnetic control lock outputs a locking signal to the control system. The control system sends a signal to the hoist driver, and the hoist driver controls the operation of the hoist body.

[0016] In this embodiment, the control system further includes: The encoder unit sends high-speed pulse signals to the elevator body. The human-machine interface is connected to the elevator drive and displays the parameter information of the elevator drive. The status indicator panel is connected to the elevator driver and reflects the status of the elevator driver in real time. The automatic control unit controls the opening and closing of the elevator cage door; The external call and dispatch unit is connected to the construction hoist drive and includes an external call display unit and an elevator dispatcher. The external call display unit is located on each floor and collects the call commands of the corresponding floor and displays various statuses. The elevator dispatcher is connected to the construction hoist drive and collects the status information of the construction hoist in real time. It is also connected to the external call display unit to read the external call commands of each floor and the control system used to control the hoist body and the landing doors. The real-time monitoring unit, connected to the elevator drive system, uses a camera image processing system to detect whether personnel inside the elevator are wearing safety helmets. If it detects that personnel inside the elevator are not wearing safety helmets as required, the elevator drive system will not operate.

[0017] In this embodiment, the camera image processing system includes: The image acquisition module is used to acquire video images generated in real time. The location acquisition module is used to perform image recognition on the video image and obtain the position of the human face, and to perform image recognition on the video image and obtain the position of the human head based on the human head detection model; The portrait position comparison module is used to determine whether there is a one-to-one correspondence between the current portrait position and the head position; The location acquisition module includes: a pixel segmentation unit for segmenting the corrected image into pixels to obtain a data packet; a data packet decoding unit for decoding the data packet to obtain a decoded image; and an image recognition unit for performing image recognition on the decoded image and obtaining the image position and head position.

[0018] In this embodiment, a video output module is also included, which is used to output segmented images of each moment in chronological order and at a preset frame rate to obtain the video to be played.

[0019] In this embodiment, the camera image processing method includes the following steps: Acquire real-time captured video images, perform image recognition on the video images to obtain the position of the human face, and use a head detection model to perform image recognition on the video images to obtain the position of the human head; The combined state of the human head and helmet is obtained based on the amount of overlap between the human image position and the human head position. The combined state of the human head and helmet is used to determine whether a helmet is being worn. If a helmet is not being worn, the driving command fails to pass verification.

[0020] In this embodiment, the step of performing image recognition on the video image and obtaining the position of the human face includes: segmenting the corrected image into pixels to obtain a data packet; decoding the data packet to obtain a decoded image; and performing image recognition on the decoded image to obtain the position of the human face.

[0021] In this embodiment, the combined state of the head and helmet includes: calculating the corresponding value of the combined head and helmet based on the corresponding values ​​of the image position and the head position; when the two corresponding values ​​are equal, the combined head and helmet state is normal; otherwise, the combined head and helmet state is abnormal.

[0022] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium. For example, in the embodiments of the present invention, the program can be stored in the storage medium of a computer system and executed by at least one processor in the computer system to implement the processes of the embodiments as described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0023] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any simple modifications, equivalent changes, and alterations made by those skilled in the art to the above embodiments without departing from the technical solution of the present invention, based on the technical essence of the present invention, should be within the scope of the present invention.

Claims

1. An unattended construction elevator, characterized in that: include: An elevator body, a floor door and a control system, wherein the control system includes an elevator driver installed on the elevator body, an electromagnetic control lock is installed at the floor door, limit devices are respectively arranged at the upper and lower ends of the elevator body, cage doors are respectively movably installed on both sides of the elevator body, and a monitoring camera is installed on the top surface of the elevator body; when the electromagnetic control lock is locked, the electromagnetic control lock outputs a locking signal to the control system, the control system transmits a signal to the elevator driver, and the elevator driver controls the operation of the elevator body.

2. The unmanned construction elevator according to claim 1, characterized in that: The control system further comprises: The encoder unit sends high-speed pulse signals to the elevator body; A human-machine interaction interface is connected to the elevator driver to display the parameter information of the elevator driver; The status light board is connected to the elevator driver to reflect the status of the elevator driver in real time; Automatic control unit, which controls the opening and closing of the elevator cage door; The external call and dispatch unit is connected to the construction elevator driver in communication, and includes an external call display unit and an elevator dispatcher; the external call display unit is set on each floor, collects the call instructions of the corresponding floor and displays various states; the elevator dispatcher is connected to the construction elevator driver in communication, collects the state information of the construction elevator in real time, and is connected to the external call display unit in communication, and reads the external call instructions of each floor and the control system for controlling the elevator body and the floor door; The real-time monitoring unit is connected to the elevator driver and uses a camera image processing system and a camera image processing system method to detect whether the staff in the elevator wears a safety helmet.

3. The unmanned construction elevator according to claim 2, characterized in that: The camera image processing system comprises: An image acquisition module is used to acquire video images generated by real-time shooting; A position acquisition module, used to perform image recognition on the video image and obtain the portrait position, and perform image recognition on the video image and obtain the head position according to the head detection model; A portrait position comparison module is used to determine whether the portrait position at the current moment corresponds to the head position. The position acquisition module includes: a pixel segmentation unit, which is used to perform pixel segmentation on the corrected image to obtain a data packet; a data packet decoding unit, which is used to decode the data packet to obtain a decoded image; and an image recognition unit, which is used to perform image recognition on the decoded image and obtain the portrait position and the head position.

4. The unmanned construction elevator according to claim 3, characterized in that: It also includes a video output module, which is used to output the segmented images at each moment in chronological order according to a preset frame rate to obtain the video to be played.

5. The unmanned construction elevator according to claim 2, characterized in that: The camera image processing method comprises the following steps: Acquire a video image generated by real-time shooting, perform image recognition on the video image and obtain a portrait position, and perform image recognition on the video image according to a head detection model and obtain a head position; The head-helmet joint state is obtained according to the overlap amount of the portrait position and the head position, and whether a helmet is worn is determined according to the head-helmet joint state. If a helmet is not worn, the driving instruction fails to pass the verification.

6. The unmanned construction elevator according to claim 1, characterized in that: The step of performing image recognition on the video image and obtaining the portrait position includes: performing pixel segmentation on the corrected image to obtain a data packet; decoding the data packet to obtain a decoded image; performing image recognition on the decoded image and obtaining the portrait position.

7. The unmanned construction elevator according to claim 1, characterized in that: The head-helmet combined state includes: calculating the corresponding value of the head-helmet combined state according to the corresponding values ​​of the portrait position and the head position; when the two corresponding values ​​are equal, the head-helmet combined state is a normal state; otherwise, the head-helmet combined state is an abnormal state.

Images