Diversion sheave fault monitoring method and device based on image recognition technology

Abstract

The invention discloses a diversion sheave fault monitoring method based on an image recognition technology. The method comprises the steps that S1, video information of a diversion sheave assembly is collected; s2, extracting image features of the diversion sheave assembly; s3, comparing the image features with standard image features; and S4, analyzing the comparison result, judging whether the diversion sheave assembly breaks down or not, and sending fault early warning information to external equipment when judging that the diversion sheave assembly breaks down. According to the invention, integral monitoring can be carried out on the diversion sheave and peripheral related parts, so that the failure state related to the diversion sheave can be mastered in all directions, and early warning can be carried out in advance.

Description

Technical Field

[0001] This invention relates to the field of elevator technology, and specifically to a method and device for monitoring the faults of anti-rope pulleys based on image recognition technology. Background Technology

[0002] To reduce the cost of traction machines, current traction drive elevator systems generally adopt a winding ratio of 2:1 or higher. To achieve this arrangement, it is inevitable to configure one or more movable pulleys, commonly known as anti-rope pulleys, on the car and counterweight.

[0003] Under normal circumstances, the deflector pulley rotates freely under the friction of the traction wire rope. If the deflector pulley becomes jammed due to bearing failure or the traction wire rope disengages from the deflector groove, the deflector pulley shaft may rotate due to the jamming or be continuously cut by the wire rope, eventually causing damage to the deflector pulley shaft fixing parts or breakage of the deflector pulley shaft. This can lead to the deflector pulley falling out of the counterweight frame and causing a serious safety accident of the counterweight falling.

[0004] Whether it's a sheave jamming or a wire rope derailment, there's a continuous process of state change before final failure. If we can detect the state changes of components that may cause failure in the early stages of failure and take corresponding preventative measures in advance, we can effectively reduce the failure at the sheave.

[0005] When dealing with a faulty anti-cord pulley, the most obvious solution is to add a switch or sensor to the anti-cord pulley and its fixing components to monitor the status of the anti-cord pulley and fixing device. Although this method can directly determine the status of the component being tested, it requires an additional power supply to the switch or sensor. Therefore, the problem of power supply to the heavy side must be solved. In addition, most existing technologies only check for a single fault.

[0006] For example, Chinese patent document (CN109678023B) proposes to use night imaging technology to monitor the position information of moving parts. Its technical requirements only focus on the changes in the position information of moving parts, which is a macroscopic monitoring and does not take into account the state changes of non-moving parts associated with the moving parts. Summary of the Invention

[0007] To address the aforementioned technical problems, this invention provides a method for monitoring the failure of a reverse rope wheel based on image recognition technology, comprising: step S1, acquiring video information of the reverse rope wheel assembly; step S2, extracting image features of the reverse rope wheel assembly; step S3, comparing the image features with standard image features; and step S4, analyzing the comparison results to determine whether the reverse rope wheel assembly has failed, and sending a fault warning message to an external device when a failure is detected.

[0008] Preferably, the anti-rope pulley assembly is located on the counterweight side of the elevator and includes an anti-rope pulley, an anti-jump component, a cover, an anti-rope pulley shaft, a frame, and a shaft baffle.

[0009] Preferably, the image features include the relative positions of the wire ropes on both sides of the anti-slip wheel, the relative positions of the cover, the relative positions of the anti-slip components, the relative positions of the axle baffle and the fastening bolts; and the relative position of the edge of the anti-slip wheel relative to the frame.

[0010] Preferably, the image features of the anti-rope wheel are continuously extracted, and the anti-rope wheel is judged to rotate based on the continuous changes in the image features. If it does not rotate, the anti-rope wheel is judged to have a jamming fault, and a fault warning is issued.

[0011] Preferably, the external device is an elevator control system or a mobile terminal.

[0012] The present invention also provides a countersunk sheave fault monitoring device, including a video acquisition module and a data processing module; the video acquisition module includes a camera, lighting, a mounting bracket and a cable; the video acquisition module is fixed on the shaft wall near the counterweight side; the video acquisition module is connected to the data processing module via a cable; the data processing module monitors the counterweight side countersunk sheave assembly using the aforementioned countersunk sheave fault monitoring method.

[0013] The present invention also provides a counterslip sheave fault monitoring device, including a video acquisition module and a data processing module; the video acquisition module includes a camera, lighting, a mounting bracket and a cable; the video acquisition module is fixed on the car near the counterslip sheave assembly; the video acquisition module is connected to the data processing module via a cable; the data processing module monitors the counterslip sheave assembly on the car side or the counterweight side using the aforementioned counterslip sheave fault monitoring method.

[0014] This invention can monitor the anti-corrosion pulley and its surrounding components as a whole, thereby gaining a comprehensive understanding of the failure status related to the anti-corrosion pulley and providing early warnings. Attached Figure Description

[0015] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments: Figure 1 This is a schematic diagram illustrating the steps of a method for monitoring faults in a reverse rope pulley. Figure 2 This is a schematic diagram of the counterweight side anti-rope pulley assembly. Detailed Implementation

[0016] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can fully understand other advantages and technical effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through different specific embodiments, and the details in this specification can also be applied based on different viewpoints, with various modifications or changes made without departing from the overall design concept of the invention. It should be noted that, unless otherwise specified, the following embodiments and features can be combined with each other. The following exemplary embodiments of the present invention can be implemented in many different forms and should not be construed as being limited to the specific embodiments set forth herein. It should be understood that these embodiments are provided to make the disclosure of the present invention thorough and complete, and to fully convey the technical solutions of these exemplary embodiments to those skilled in the art.

[0017] like Figure 1 As shown, the present invention provides a method for monitoring the failure of a reverse rope wheel based on image recognition technology, including: step S1, acquiring video information of the reverse rope wheel assembly; step S2, extracting image features of the reverse rope wheel assembly; step S3, comparing the image features with standard image features; step S4, analyzing the comparison results, determining whether the reverse rope wheel assembly has failed, and sending a fault warning message to an external device when a failure is determined to have occurred.

[0018] like Figure 2 As shown, taking the counterweight side as an example, the anti-slip wheel assembly includes an anti-slip wheel 1, an anti-jump component 5, a cover 2, an anti-slip wheel axle 3, a frame 6, and an axle baffle 4.

[0019] The image features include the relative positions of the steel wire ropes 7 on both sides of the anti-slip wheel, the relative positions of the cover 2, the relative positions of the anti-slip components 5, the relative positions of the shaft baffle 4 and the fastening bolts; and the relative position of the edge of the anti-slip wheel 1 relative to the frame 6.

[0020] The present invention also provides a reversing pulley fault monitoring device, including a video acquisition module and a data processing module; the video acquisition module includes a camera, lighting, a mounting bracket, and a cable. The video acquisition module is connected to the data processing module via the cable; the data processing module monitors the reversing pulley assembly using the aforementioned reversing pulley fault monitoring method.

[0021] When the monitoring target is the counterweight sheave assembly, and there is no space or power supply available on the counterweight frame, it is preferable to install the camera on the elevator shaft wall. The camera's position should ensure that it can capture complete images of the sheave and surrounding components (such as the sheave shaft 3 and shaft baffle 4, cover 2, wire rope 7, etc.). If suitable space cannot be found on the shaft wall, the camera can also be installed on the car. The camera continuously collects video information while the elevator is running. Alternatively, dynamic recognition technology can be used to activate the camera only when the counterweight passes by.

[0022] The data processing module analyzes the acquired video information, identifies the video segment in which the anti-rope wheel assembly enters the lens, processes the video segment, extracts the image features of the anti-rope wheel and surrounding related components, compares the extracted image features with standard image features, and determines whether these features are in an abnormal state. If the features are determined to be in an abnormal state, a fault warning is issued.

[0023] The data processing module analyzes the acquired video information, identifies the video segment in which the anti-rope wheel enters the camera, processes the video segment, continuously extracts the image features of the anti-rope wheel, and determines whether the anti-rope wheel is rotating based on the continuous changes in the image features. If it is not rotating, it determines that the anti-rope wheel has a jamming fault and issues a fault warning.

[0024] The data processing module can be integrated into the elevator control system or used as a standalone module. It preprocesses the acquired video information, identifying video segments containing the anti-cord sheave. The module then analyzes these segments, extracting image features of the anti-cord sheave and related components. These image features can be a single image or a set of images. The extracted image features are compared with standard image features, and the results are analyzed to determine if any abnormalities have occurred in the anti-cord sheave and its related components. A fault warning is then sent to the elevator control system or pushed to a mobile terminal.

[0025] The present invention has been described in detail above through specific embodiments and examples, but these are not intended to limit the invention. Many modifications and improvements can be made by those skilled in the art without departing from the principles of the invention, and these should also be considered within the scope of protection of the present invention.

Claims

1. A method for monitoring a counter sheave failure based on image recognition technology, characterized by, The method comprises the following steps: S1, collecting video information of the counterweight sheave assembly; S2, extracting image features of the counterweight sheave assembly; S3, comparing the image features with standard image features; S4, analyzing the comparison result to determine whether the counterweight sheave assembly has a fault, and sending a fault warning message to an external device when a fault is determined.

2. The counter sheave fault monitoring method according to claim 1, characterized in that, The counterweight sheave assembly is arranged on the counterweight side of the elevator and comprises a counterweight sheave, an anti-skip piece, a cover shell, a counterweight sheave shaft, a frame and a shaft baffle.

3. The counter sheave fault monitoring method according to claim 2, characterized in that, The image features include the relative positions of the steel wire ropes on both sides of the counterweight sheave, the relative position of the cover shell, the relative position of the anti-skip piece, the relative positions of the shaft baffle and the fastening bolts, and the relative position of the edge of the counterweight sheave relative to the frame.

4. The counter sheave fault monitoring method according to claim 2, characterized by, The image features of the counterweight sheave are continuously extracted, and the rotation of the counterweight sheave is determined according to the continuous changes of the image features.

5. The counter sheave fault monitoring method according to claim 1, characterized by, The external device is an elevator control system or a mobile terminal.

6. A counter sheave fault monitoring device, characterised in that, The method comprises a video collection module and a data processing module. The video collection module comprises a camera, lighting, a mounting bracket and a cable. The video collection module is fixed to the shaft wall near the counterweight side.

7. A counter sheave fault monitoring device, characterised in that, The video collection module is connected to the data processing module through a cable. The data processing module uses the counterweight sheave fault monitoring method of claim 1 to monitor the counterweight sheave assembly on the counterweight side. The method comprises a video collection module and a data processing module. The video collection module comprises a camera, lighting, a mounting bracket and a cable. The video collection module is fixed to the shaft wall near the counterweight side. The video collection module is connected to the data processing module through a cable. The data processing module uses the counterweight sheave fault monitoring method of claim 1 to monitor the counterweight sheave assembly on the counterweight side.

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