CN117163792A - Elevator overspeed governor safety tongs linkage test artificial intelligence monitoring devices - Google Patents
Elevator overspeed governor safety tongs linkage test artificial intelligence monitoring devices Download PDFInfo
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- CN117163792A CN117163792A CN202311236389.5A CN202311236389A CN117163792A CN 117163792 A CN117163792 A CN 117163792A CN 202311236389 A CN202311236389 A CN 202311236389A CN 117163792 A CN117163792 A CN 117163792A
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Abstract
The invention discloses an artificial intelligent monitoring device for a linkage test of safety tongs of an elevator speed limiter, which has the technical scheme that the device comprises a camera module, an image processing module, an artificial intelligent algorithm module, a judging module, a result display module, a data storage and analysis module, an alarm module, a remote monitoring module and an automatic control module, wherein the modules are connected through a wireless network; the camera module comprises two cameras with high resolution and high frame rate and focusing and tracking functions, one camera monitors a speed limiter and a speed limiter rope, and the other camera monitors a traction wheel and a traction steel wire rope on the wheel; through computer vision and artificial intelligence technology, the empty load state, the ascending speed and the overhauling speed of the elevator car are monitored by the camera module, the image processing module and the artificial intelligence algorithm module, intelligent monitoring and analysis of the elevator speed limiter safety tongs are realized, the accuracy and the efficiency of test data are improved, and a more efficient test method is brought to the elevator safety field.
Description
Technical Field
The invention relates to the technical field of elevator speed limiter safety tongs linkage tests, in particular to an artificial intelligent monitoring device for an elevator speed limiter safety tongs linkage test.
Background
The elevator speed limiter safety tongs linkage test is a common elevator safety detection method and aims to verify the cooperative working capacity of the speed limiter and the safety tongs of an elevator in the running process. The speed limiter and the safety tongs are important components in an elevator safety system, the correct operation of the speed limiter and the safety tongs is critical to the safety of an elevator, in an elevator speed limiter safety tongs linkage test, different working conditions of the elevator in the operation process, such as ascending, descending, no-load, full-load and the like, are generally simulated, and in the test, the working states and the mutual coordination relation of the speed limiter and the safety tongs are monitored by controlling the operation speed and the load condition of the elevator. Parameters such as movement characteristics, response time, force transmission and the like of the speed limiter and the safety tongs can be recorded and analyzed in the test process so as to evaluate whether the speed limiter and the safety tongs can work correctly in actual operation or not and ensure safe operation of the elevator.
However, the conventional test method has some problems and challenges, such as high subjectivity and low test efficiency, and in order to solve the problems, we propose an artificial intelligent monitoring device for a safety gear linkage test of an elevator speed limiter, so as to improve test accuracy and efficiency and ensure safe operation of an elevator.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an artificial intelligent monitoring device for a safety tongs linkage test of an elevator speed limiter, which solves the problems in the background art.
The technical aim of the invention is realized by the following technical scheme:
the artificial intelligent monitoring device for the elevator speed limiter safety tongs linkage test comprises a camera module, an image processing module, an artificial intelligent algorithm module, a judging module, a result display module, a data storage and analysis module, an alarm module, a remote monitoring module and an automatic control module, wherein the modules are connected through a wireless network; the camera module comprises two cameras with high resolution and high frame rate and focusing and tracking functions, one camera monitors a speed limiter and a speed limiter rope, and the other camera monitors a traction wheel and a traction steel wire rope on the wheel.
Preferably, the image processing module is used for receiving the image data of the camera module, performing edge detection, target recognition, object tracking and motion analysis by using a computer vision technology, and simultaneously performing preprocessing, analysis and key feature extraction by applying an image enhancement algorithm to improve the image quality and detail visibility.
By adopting the technical scheme, the image data from the camera module is received, and the preprocessing, analysis and feature extraction are carried out, so that the image recognition capability of the speed limiter, the speed limiter rope, the traction sheave and the traction steel wire rope is improved.
Preferably, the artificial intelligence algorithm module analyzes and classifies the features extracted by the image processing module by using a machine learning and deep learning technology, uses a pre-trained Convolutional Neural Network (CNN) and a cyclic neural network (RNN) model, aims at training a model of a specific data set of an elevator, improves recognition accuracy and robustness, uses a machine learning and deep learning technology, analyzes and classifies the features extracted by the image processing module to learn and recognize states of a speed limiter safety gear, states of a traction sheave and a steel wire rope, states of a speed limiter electric safety device and states of a safety gear electric safety device, analyzes and detects the states, and provides accurate state judgment results.
By adopting the technical scheme, the characteristics extracted by the image processing module are analyzed and classified by adopting machine learning and deep learning technologies, and the characteristics are used for learning and identifying the states of the speed limiter safety tongs and the heavy speed limiter safety tongs.
Preferably, the judging module analyzes the action state of the speed limiter, the speed limiter rope, the traction sheave and the traction steel wire rope, the action state of the speed limiter electric safety device and the action state of the safety tongs electric safety device based on preset judging rules and threshold values, adopts algorithms such as statistical analysis and decision tree, and the like, synthesizes historical data and real-time monitoring data to judge, judges the test result according to the result of the artificial intelligence algorithm module, and judges that the test is unqualified if any one of the four parts is abnormal.
By adopting the technical scheme, whether the test is successful or not is judged according to the result provided by the artificial intelligence algorithm module, and whether the test is successful or not is determined by analyzing the action states of the speed limiter, the speed limiter rope, the traction sheave and the traction steel wire rope, the speed limiter electric safety device and the safety tongs electric safety device.
Preferably, the result display module is used for providing a real-time monitoring interface, displaying images captured by the camera, detected states and real-time data, generating a detailed test report, including date, time, test conditions, camera images, identification results and judgment conclusions, and displaying elevator test results, including monitoring data and judgment results.
By adopting the technical scheme, the elevator test result display device is used for displaying elevator test results, including monitoring data and judging results, displaying images captured by the camera, detected states and real-time data in the real-time monitoring process, and generating detailed test reports.
Preferably, the data storage and analysis module uses database technology for data storage and indexing, applies data mining and machine learning algorithms for analysis and pattern recognition of historical data, stores and manages monitoring data, and supports data analysis and subsequent processing.
By adopting the technical scheme, the method is responsible for storing and managing the monitoring data, supporting data analysis and subsequent processing, using a database technology for data storage and indexing, and applying a data mining and machine learning algorithm for analysis and pattern recognition of historical data.
Preferably, the alarm module can trigger an acoustic or light alarm to remind to take measures when an abnormal condition occurs to the speed limiter or the traction wire rope.
By adopting the technical scheme, the alarm is triggered when an abnormal or dangerous situation is found, and measures such as sounding or light alarm when the speed limiter or the traction steel wire rope is abnormal are timely taken.
Preferably, the remote monitoring module is connected through the internet, and an operator can remotely check monitoring data, images and reports, perform remote management and fault diagnosis, and allow remote access and monitoring of elevator test conditions.
By adopting the technical scheme, the elevator test condition is allowed to be accessed and monitored remotely, and an operator can check monitoring data, images and reports remotely through Internet connection, so that remote management and fault diagnosis are realized.
Preferably, the automatic control module is integrated with the elevator control system, so that the focal length and the angle of the camera are automatically adjusted, the accurate and stable monitoring position is ensured, the automatic data recording and report generation are realized, the efficiency and the reliability of the test process are improved, and the automatic control system is used for automatically controlling the elevator test process.
Through adopting above-mentioned technical scheme for automated control elevator test process, with elevator control system integration, automatically regulated camera focus and angle ensure the accuracy and the stability of monitor position, realize simultaneously that automated data record and report are generated function, improve test process's efficiency and reliability.
In summary, the invention has the following advantages:
the automatic monitoring and identification of the elevator speed limiter safety tongs are realized by utilizing computer vision and an artificial intelligent algorithm, manual intervention is not needed, the automatic and intelligent characteristics can improve the efficiency and accuracy of a test, the labor cost and human errors are reduced, the state of the elevator speed limiter safety tongs can be monitored in real time, the image data is analyzed by an image processing and feature extraction module, key features and data are extracted, the data acquisition in the test process is more timely and accurate, the abnormal situation and problem can be found out quickly, a detailed test report can be generated, the information such as monitoring data, an identification result and a judgment conclusion is included, and an operator can remotely access and monitor the elevator test situation;
in general, by utilizing advanced computer vision and artificial intelligence technology, intelligent monitoring and analysis of the elevator speed limiter safety tongs are realized, the automation degree, the data accuracy and the efficiency of the test are improved, and a more reliable and efficient test method is brought to the elevator safety field.
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Fig. 1 is a schematic diagram of the system architecture of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention, and it is apparent that the described embodiments are some, but not all, embodiments of the present invention, and all other embodiments obtained by persons of ordinary skill in the art without inventive labor based on the described embodiments of the present invention are included in the scope of protection of the present invention.
The following examples are illustrative of the present invention but are not intended to limit the scope of the invention. The conditions in the examples can be further adjusted according to specific conditions, and simple modifications of the method of the invention under the premise of the conception of the invention are all within the scope of the invention as claimed.
Referring to fig. 1, an artificial intelligent monitoring device for a linkage test of an elevator speed limiter safety tongs comprises a camera module, an image processing module, an artificial intelligent algorithm module, a judging module, a result display module, a data storage and analysis module, an alarm module, a remote monitoring module and an automatic control module, wherein the modules are connected through a wireless network;
the system comprises a camera module, an artificial intelligent algorithm module, a speed limiter, a traction sheave and a traction wire rope, wherein the camera module comprises two high-resolution high-frame-rate adjustable-focus and tracking function cameras, one camera monitors the speed limiter and the speed limiter rope, the other camera monitors the traction sheave and the traction wire rope on the wheels of the traction sheave, the image processing module is used for receiving image data of the camera module, edge detection, target recognition, object tracking and motion analysis are carried out by using a computer vision technology, preprocessing, analysis and key feature extraction are carried out by applying an image enhancement algorithm, image data from the camera module are received, preprocessing, analysis and feature extraction are carried out, so that the image recognition capability of the speed limiter, the speed limiter rope, the traction sheave and the traction wire rope is improved, the artificial intelligent algorithm module utilizes a machine learning and deep learning technology to analyze and classify the features extracted by the image processing module, a pre-trained Convolutional Neural Network (CNN) and a cyclic neural network (RNN) model is used for training a model of a specific data set of an elevator, recognition accuracy and robustness are improved, a machine learning and deep learning technology is used for carrying out feature extraction by the image processing module, the image processing module and the safety state recognition device is carried out by using the image processing module, the safety state analysis and the safety state judgment device.
Referring to fig. 1, the determining module analyzes the action state of the speed limiter, the speed limiter rope, the traction sheave and the traction wire rope, the action state of the speed limiter electric safety device and the action state of the safety tongs electric safety device based on preset determining rules and threshold values, adopts algorithms such as statistical analysis and decision tree, and the like, synthesizes historical data and real-time monitoring data to determine, determines a test result according to the result of the artificial intelligence algorithm module, determines that the test is not qualified if any one of the four parts is abnormal, and the result display module is used for providing a real-time monitoring interface, displaying images captured by the camera, detected states and real-time data, generating detailed test reports including date, time, test conditions, camera images, identification results and determination conclusions, and displaying elevator test results including monitoring data and determination results.
Referring to fig. 1, when an abnormal condition occurs in a speed limiter or a traction steel wire rope, the system can trigger an acoustic or light alarm to remind to take measures, the remote monitoring module is connected through the internet, an operator can remotely check monitoring data, images and reports, remote management and fault diagnosis are performed, remote access and monitoring of elevator test conditions are allowed, the automatic control module is integrated with an elevator control system, automatic adjustment of focal length and angle of a camera is achieved, accurate and stable monitoring position is ensured, automatic data recording and report generation are achieved, test process efficiency and reliability are improved, and the automatic control system is used for automatically controlling elevator test processes.
Working principle: referring to fig. 1, by using computer vision and an artificial intelligence algorithm, automatic monitoring and identification of the elevator speed limiter safety tongs are realized, manual intervention is not needed, the automatic and intelligent characteristics can improve the efficiency and accuracy of the test, reduce the labor cost and human error, monitor the state of the elevator speed limiter safety tongs in real time, analyze image data through an image processing and feature extraction module, extract key features and data, so that data acquisition in the test process is more timely and accurate, abnormal situations and problems can be found quickly, detailed test reports can be generated, and an operator can remotely access and monitor the elevator test conditions, including information such as monitoring data, identification results and judgment conclusions;
for A1.3.4.3, the camera module in the system can monitor the states of the speed limiter, the speed limiter rope, the traction sheave and the traction wire rope, the image processing module and the artificial intelligent algorithm module can identify and track the objects and extract key characteristics such as speed and motion state, and the system can monitor the load, the descending speed and the maintenance speed loaded in the lift car according to different test conditions through the cooperation of the modules so as to meet the requirement of A1.3.4.3 items; for A1.3.5.2 items, the system can also monitor the empty load state, the ascending speed and the overhauling speed of the lift car by using a camera module, an image processing module and an artificial intelligent algorithm module, and can meet the requirements of different test conditions in A1.3.5.2 items through analysis and judgment of the modules; as for the requirements of the TSG T7001-2023 for injecting the A1-22, the system can monitor whether the glass is installed in the elevator car or not through the camera module and the image processing module, if the test is allowed to be carried out without installing the glass according to the conditions, the system can keep the balance state of the elevator by increasing the load with the same weight as the glass, therefore, the integration and the cooperative work of the device can meet the test requirements of related items in the TSG T7001-2023 and ensure the effective evaluation and judgment of the safety gear linkage test;
in general, by utilizing advanced computer vision and artificial intelligence technology, intelligent monitoring and analysis of the elevator speed limiter safety tongs are realized, the automation degree, the data accuracy and the efficiency of the test are improved, and a more reliable and efficient test method is brought to the elevator safety field.
Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that unless otherwise defined, technical or scientific terms used herein should be used in the ordinary sense of the present invention, and the use of the terms "comprising" or "including" or the like herein should be taken in a generic sense, to the effect that elements or items appearing before the term are covered by the terms or items listed after the term and their equivalents, without excluding other elements or items, and the terms "connected" or the like should not be limited to physical or mechanical connections, but may also include electrical connections, whether direct or indirect, "upper", "lower", "left", "right", etc. are merely intended to indicate relative positional relationships that may also be correspondingly altered when the absolute position of the subject matter being described is altered.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The artificial intelligent monitoring device for the elevator speed limiter safety tongs linkage test is characterized by comprising a camera module, an image processing module, an artificial intelligent algorithm module, a judging module, a result display module, a data storage and analysis module, an alarm module, a remote monitoring module and an automatic control module, wherein the modules are connected through a wireless network;
the camera module comprises two cameras with high resolution and high frame rate and focusing and tracking functions, one camera monitors a speed limiter and a speed limiter rope, and the other camera monitors a traction wheel and a traction steel wire rope on the wheel.
2. The artificial intelligent monitoring device for the elevator speed limiter safety gear linkage test according to claim 1, wherein the image processing module is used for receiving image data of the camera module, performing edge detection, target recognition, object tracking and motion analysis by using a computer vision technology, and preprocessing, analyzing and key feature extraction by improving image quality and detail visibility by applying an image enhancement algorithm.
3. The artificial intelligent monitoring device for elevator speed limiter safety gear linkage test according to claim 1, wherein the artificial intelligent algorithm module analyzes and classifies the features extracted by the image processing module by using a machine learning and deep learning technology, uses a pretrained Convolutional Neural Network (CNN) and a cyclic neural network (RNN) model, improves recognition accuracy and robustness for the model for training a specific data set of an elevator, uses a machine learning and deep learning technology, analyzes and classifies the features extracted by the image processing module to learn and recognize the state of the speed limiter safety gear, the states of a traction sheave and a wire rope, the action states of the speed limiter electric safety device and the action states of the safety gear electric safety device, and provides accurate state judgment results.
4. The artificial intelligent monitoring device for the elevator speed limiter safety gear linkage test according to claim 1, wherein the judging module analyzes the action state of the speed limiter, the speed limiter rope, the traction sheave and the traction wire rope, the action state of the speed limiter electric safety device and the action state of the safety gear electric safety device based on preset judging rules and threshold values, adopts algorithms such as statistical analysis and decision trees, judges by integrating historical data and real-time monitoring data, judges according to the result of the artificial intelligent algorithm module, and judges that the test is failed if any one of the four parts is abnormal.
5. The artificial intelligent monitoring device for the elevator speed limiter safety gear linkage test according to claim 1, wherein the result display module is used for providing a real-time monitoring interface, displaying images captured by a camera, detected states and real-time data, generating detailed test reports, including date, time, test conditions, camera images, identification results and judgment conclusions, and displaying elevator test results, including monitoring data and judgment results.
6. The artificial intelligence monitoring device for elevator speed limiter safety gear linkage test of claim 1, wherein the data storage and analysis module uses database technology for data storage and indexing, applies data mining and machine learning algorithms for analysis and pattern recognition of historical data, stores and manages monitoring data, and supports data analysis and subsequent processing.
7. The artificial intelligent monitoring device for the elevator speed limiter safety gear linkage test according to claim 1, wherein the alarm module can trigger an audible or visual alarm to remind to take measures when an abnormal condition occurs in the speed limiter or the traction steel wire rope.
8. The artificial intelligent monitoring device for the elevator speed limiter safety tongs linkage test according to claim 1, wherein the remote monitoring module is connected through the internet, and an operator can remotely check monitoring data, images and reports, perform remote management and fault diagnosis, and allow remote access and monitoring of elevator test conditions.
9. The artificial intelligent monitoring device for the elevator speed limiter safety tongs linkage test according to claim 1, wherein the automatic control module is integrated with an elevator control system, so that the focal length and the angle of a camera are automatically adjusted, the monitoring position is ensured to be accurate and stable, the automatic data recording and report generation are realized, the efficiency and the reliability of the test process are improved, and the automatic intelligent monitoring device is used for automatically controlling the elevator test process.
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| CN2023106930412 | 2023-06-12 | ||
| CN202310693041 | 2023-06-12 |
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