Detection device for side protection plate of hydraulic support and control method

Abstract

The invention provides a detection device and a control method for a side protection plate of a hydraulic support. The device comprises a sensing device which is at least used for collecting an image of a side protection plate of the hydraulic support; the control equipment is in communication connection with the sensing equipment, and the control equipment is used for carrying out image recognition on the image and determining the state of the face guard; and the alarm device is in communication connection with the control device and is used for giving an alarm when the state of the face guard is an abnormal state, and the abnormal state comprises one or more of inclination, deviation, damage and deformation. The image of the face guard is collected through the detection device, the state of the face guard is detected through image analysis, an alarm can be given when the face guard is abnormal, manual detection is not needed, automatic detection can be achieved, and the problem that in the prior art, the mode of manually detecting the posture of the face guard is low in efficiency is solved.

Description

Technical Field

[0001] The present application relates to the field of guard plate detection, and in particular, to a guard plate detection device for a hydraulic support, a control method for the guard plate detection device for a hydraulic support, and a guard plate detection system. Background Art

[0002] As an important fossil energy, coal plays a key role in the energy supply of contemporary society. The coal industry is one of the important pillars of the national economy and has made great contributions to the development of human society. At present, the conditions for coal resource mining are complex, and safe production has always been a major challenge faced by coal mining enterprises.

[0003] As the main support equipment of coal mining working face, the stability and reliability of hydraulic support are directly related to the safe production of the working face. The main function of hydraulic support is to support the rock stratum of the working face and prevent the occurrence of collapse accidents. Among them, the posture state of the hydraulic support guard plate is crucial to the stability of the entire system. When the guard plate is abnormally tilted or offset, it will affect the stress state of the hydraulic support, thereby threatening the safety of the working face. Therefore, real-time monitoring and abnormal warning of the posture of the hydraulic support guard plate are particularly necessary.

[0004] However, in complex working environments, such as insufficient light and dusty environments, the traditional method of manually checking the posture of the guard plate is inefficient and error-prone, and it is difficult to accurately identify whether the guard plate is in normal working condition. Summary of the invention

[0005] The main purpose of the present application is to provide a detection device for a hydraulic support guard plate, a control method for the detection device for a hydraulic support guard plate, and a guard plate detection system, so as to at least solve the problem of low efficiency of the manual inspection of the guard plate posture in the prior art.

[0006] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a detection device for the guard plate of a hydraulic support is provided, comprising: a sensing device, at least used to collect an image of the guard plate of the hydraulic support; a control device, communicatively connected to the sensing device, the control device being used to perform image recognition on the image to determine the state of the guard plate; an alarm device, communicatively connected to the control device, the alarm device being used to alarm when the state of the guard plate is abnormal, wherein the abnormal state comprises one or more of tilt, offset, damage and deformation.

[0007] Optionally, the sensing device includes at least: an explosion-proof camera located in the first chamber, and the explosion-proof camera is used to capture the image of the guard plate of the hydraulic support.

[0008] Optionally, the alarm device includes: a light alarm located in the second chamber, the first chamber and the second chamber are connected by a sleeve, the light alarm is used to use a light alarm when the state of the guard plate is the abnormal state; a sound alarm is located in the second chamber, the sound alarm is used to use a sound alarm when the state of the guard plate is the abnormal state.

[0009] Optionally, the detection device of the guard plate of the hydraulic support also includes: a connecting seat, located at one end close to the top beam of the hydraulic support; an outer shell; a cable for connecting an external power supply; a lampshade for protecting the alarm device; and a protective cover for protecting the sensor device.

[0010] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a control method for a detection device of a guard plate of a hydraulic support is provided, and the method also includes: obtaining the image of the guard plate of the hydraulic support; constructing an image analysis model, wherein the image analysis model is trained by a ResNet algorithm using multiple sets of training data, and each set of training data in the multiple sets of training data includes historical images obtained within a historical time period and historical image recognition results corresponding to the historical images, wherein the historical image recognition results are used to characterize the historical state of the guard plate; inputting the image into the image analysis model to obtain an image recognition result corresponding to the image.

[0011] Optionally, obtaining the image of the guard plate of the hydraulic support includes: obtaining an initial image of the guard plate of the hydraulic support; preprocessing the initial image to obtain the image, wherein the preprocessing method includes one or more of filtering, denoising, defogging and enhancement.

[0012] Optionally, after inputting the image into the image analysis model to obtain the state of the guard plate corresponding to the image, the method further includes: when the state of the guard plate is normal, controlling the alarm device to display a first color; when the state of the guard plate is abnormal, controlling the alarm device to alarm by alternating between the second color and the third color, and / or controlling the alarm device to emit an alarm sound.

[0013] Optionally, after acquiring the image of the guard plate of the hydraulic support, the method further includes: identifying the guard plate in the image to obtain a state recognition result, wherein the state recognition result includes one or more of the angle, position, integrity and shape of the guard plate; when the state recognition result satisfies a preset condition, determining that the state of the guard plate is the abnormal state, wherein the preset condition includes one or more of a first preset condition, a second preset condition, a third preset condition and a fourth preset condition, the first preset condition being that the difference between the angle of the guard plate and the standard angle is greater than or equal to a preset angle threshold, the second preset condition being that the offset between the position of the guard plate and the standard position is greater than or equal to a preset offset threshold, the third preset condition being that there are cracks and / or holes on the surface of the guard plate, and the fourth preset condition being that the deformation amount of the shape of the guard plate and the standard shape is greater than or equal to a preset deformation threshold.

[0014] Optionally, after acquiring the image of the guard plate of the hydraulic support, the method further includes: acquiring pressure data and vibration data, wherein the pressure data is the pressure distribution value of the guard plate when in contact with the coal wall acquired by a pressure sensor, and the vibration data is the vibration frequency or amplitude of the guard plate acquired by a vibration sensor; calculating a first difference between the pressure data and a standard pressure, and calculating a second difference between the vibration data and a standard vibration value; when the first difference is greater than or equal to a preset pressure difference, determining that the pressure of the guard plate is abnormal, and obtaining a pressure recognition result; when the second difference is greater than or equal to a preset vibration difference, determining that the vibration of the guard plate is abnormal, and obtaining a vibration recognition result; and calculating a weighted average of the image recognition result, the pressure recognition result, and the vibration recognition result, and obtaining a comprehensive recognition result.

[0015] According to another aspect of the present application, a guard plate detection system is provided, comprising: a hydraulic support; a guard plate detection device, located on the top beam of the hydraulic support, the detection device being any one of the guard plate detection devices of the hydraulic support; and a control device, communicatively connected to the detection device, the control device being used for a control method of any one of the guard plate detection devices of the hydraulic support.

[0016] Using the technical solution of the present application, the detection device of the guard plate of the hydraulic support includes: a sensing device, a control device and an alarm device, wherein the sensing device is at least used to collect the image of the guard plate of the hydraulic support; the control device is communicatively connected to the sensing device, and the control device is used to perform image recognition on the image to determine the state of the guard plate; the alarm device is communicatively connected to the control device, and the alarm device is used to alarm when the state of the guard plate is abnormal, wherein the abnormal state includes one or more of tilt, offset, damage and deformation. In this solution, a detection device is designed, which collects the image of the guard plate through the detection device, and checks the state of the guard plate through image analysis. When the guard plate is abnormal, an alarm can be sounded, so that there is no need for manual inspection, and automatic inspection can be realized, thereby improving the inspection efficiency and solving the problem of low efficiency of manual inspection of the posture of the guard plate in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 A structural block diagram of a detection device for a side guard plate of a hydraulic support provided in an embodiment of the present application is shown;

[0019] Figure 2 A schematic diagram of an embodiment of a detection device for a side guard plate of a hydraulic support provided in an embodiment of the present application is shown;

[0020] Figure 3 A schematic diagram of the external structure of a protective shell of a detection device for a side guard plate of a hydraulic support provided in an embodiment of the present application is shown;

[0021] Figure 4 A schematic diagram of the internal structure of a protective housing of a detection device for a side guard plate of a hydraulic support provided in an embodiment of the present application is shown;

[0022] Figure 5 A rear view of a detection device for a side guard plate of a hydraulic support provided in an embodiment of the present application is shown;

[0023] Figure 6 A structural schematic diagram of another detection device for a side guard plate of a hydraulic support is shown;

[0024] Figure 7 A schematic flow chart of a control method of a detection device for a side guard plate of a hydraulic support provided in accordance with an embodiment of the present application is shown;

[0025] Figure 8A structural block diagram of a control device of a detection device for a side guard plate of a hydraulic support provided in accordance with an embodiment of the present application is shown.

[0026] The above drawings include the following reference numerals:

[0027] 100. Detection device for the guard plate of the hydraulic support; 101. Sensing device; 102. Control device; 103. Alarm device; 10. First chamber; 11. Guard plate; 12. Top beam of the hydraulic support; 13. Second chamber; 14. LED light alarm; 15. Casing; 16. Connecting seat; 17. Drum; 18. Housing; 19. Cable; 20. Lampshade; 21. Protective cover; 22. Connecting frame; 23. Back cover; 24. Nut. DETAILED DESCRIPTION

[0028] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0029] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] As introduced in the background technology, in the prior art, under complex working environments, such as insufficient light, diffuse dust, etc., the traditional method of manually checking the posture of the guard plate is inefficient and prone to errors, and it is difficult to accurately identify whether the guard plate is in a normal working state. In order to solve the problem of low efficiency of the manual method of checking the posture of the guard plate in the prior art, the embodiments of the present application provide a detection device for the guard plate of a hydraulic support, a control method for the detection device of the guard plate of a hydraulic support, and a guard plate detection system.

[0032] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0033] The present application provides a detection device 100 for a hydraulic support guard plate, such as Figure 1 As shown, including:

[0034] The sensor device 101 is at least used to collect images of the side guard plates of the hydraulic support;

[0035] As several possible examples, the sensing device in this application can be: a camera, which is used to collect images of the guard plate and provide visual information. It can visually observe the state of the guard plate and detect abnormalities in time; a temperature sensor: monitors the temperature changes around the hydraulic support and the guard plate. Timely detect equipment failures or safety hazards caused by high temperature; a pressure sensor: measures the pressure in the hydraulic system to ensure the normal operation of the hydraulic support. Prevent equipment damage or safety accidents caused by abnormal pressure; a vibration sensor: monitors the vibration of the hydraulic support and the guard plate. By analyzing the vibration data, it can identify whether the equipment has abnormal vibration and prevent equipment damage; a strain sensor: measures the strain changes of the guard plate and its connecting parts. Evaluate the force of the guard plate and prevent damage caused by overload; a displacement sensor: measures the displacement of the guard plate, including horizontal and vertical offsets. Accurately monitor the displacement of the guard plate and detect abnormal offsets in time; an acceleration sensor: measures the acceleration of the hydraulic support and the guard plate. Through acceleration data analysis, the movement state of the equipment is identified to prevent failures caused by severe vibration; a gas sensor: monitors the gas concentration in the working environment, such as methane, carbon dioxide, etc. Prevent explosions or poisoning incidents caused by gas leaks; Humidity sensor: monitors ambient humidity, especially humidity near the hydraulic system. Prevents equipment corrosion or failure due to excessive humidity; Light sensor: monitors the light intensity of the working environment, especially in low-light environments. Automatically adjusts the working parameters of the camera or other equipment to ensure the quality of image acquisition.

[0036] The sensor equipment is installed near the hydraulic support and can observe and photograph the guard plate in all directions. The sensor equipment collects images of the guard plate regularly or in real time. These images are transmitted to the control equipment for processing. In turn, detailed images of the guard plate can be obtained in real time to ensure comprehensive and continuous monitoring.

[0037] The control device 102 is in communication with the sensor device, and is used to perform image recognition on the image to determine the state of the guard plate;

[0038] The sensing device transmits the collected images to the control device, which processes the images using a preset image recognition algorithm. Based on the processed images, the control device determines the status of the guard plate, such as whether there is any tilt, offset, damage or deformation. Through professional image recognition technology, it can accurately identify various abnormal conditions of the guard plate to avoid human misjudgment.

[0039] The alarm device 103 is connected to the control device for communication. The alarm device is used to alarm when the guard plate is in an abnormal state, wherein the abnormal state includes one or more of tilt, offset, damage and deformation.

[0040] The control device monitors the status of the guard plate in real time. When the control device detects that the status of the guard plate is abnormal (such as tilt, offset, damage or deformation), it triggers an alarm signal. After receiving the alarm signal from the control device, the alarm device sends out an audible and visual alarm to remind the on-site staff to deal with it in time. Therefore, the alarm can be issued as soon as the guard plate is abnormal, improving the response speed and safety. There is no need for continuous manual monitoring. Safety management can be achieved through the automation system, reducing labor costs and the risk of misoperation.

[0041] In this solution, a detection device is designed to collect images of the side guard plate, and the status of the side guard plate is checked through image analysis. When the side guard plate is abnormal, an alarm can be given, so that manual inspection is not required, automatic inspection can be achieved, and the inspection efficiency is improved. The technical problem of low efficiency of the manual inspection of the side guard plate posture in the prior art is solved.

[0042] Specifically, the solution of the present application acquires monitoring images of the side guard plate in real time, performs real-time analysis of the working posture of the side guard plate, realizes real-time display of the working status of the side guard plate and issues abnormal alarms.

[0043] Specifically, the solution of the present application can detect the working posture of the side guard plate in real time. When an abnormal situation is detected, an alarm light signal is immediately triggered to promptly remind on-site workers to take emergency measures.

[0044] Specifically, the innovativeness of the solution of this application lies in that it can not only effectively monitor the operating status of the hydraulic support guard plate, but also realize rapid response to abnormal situations in combination with light alarm, thereby greatly improving the safety of the working face. The application of this device can not only reduce the probability of coal mine safety accidents, but also effectively protect the life and property safety of operators, and play an important role in improving the production efficiency and social benefits of the coal industry.

[0045] In the specific implementation process, Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, the sensing device comprises at least:

[0046] The explosion-proof camera is located in the first chamber 10 (ie, the chamber of the camera), and is used to collect images of the side guard plate 11 of the hydraulic support.

[0047] Specifically, a high-resolution explosion-proof camera is arranged at the lower part of the hydraulic support top beam 12, and is used for collecting the working posture video of the hydraulic support guard plate in real time.

[0048] The explosion-proof camera is installed in the first chamber of the hydraulic support to ensure that it works in a relatively closed environment, reducing external interference and damage risks. The camera has an explosion-proof function and can work safely in an environment containing flammable gases to prevent explosion accidents caused by sparks from the equipment. The collected images are transmitted to the control device wirelessly or wired to ensure the real-time and stability of data transmission. The explosion-proof camera can provide clear images in harsh environments such as low light and dust to ensure the accuracy of image recognition.

[0049] In the specific implementation process, Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, the alarm device includes:

[0050] The light alarm is located in the second chamber 13 (i.e., the chamber of the alarm), the first chamber and the second chamber are connected by a sleeve, and the light alarm is used to use light alarm when the state of the guard plate is abnormal;

[0051] As a possible implementation, an LED light alarm 14 may be installed in the second chamber of the hydraulic support.

[0052] Specifically, the alarm is arranged in the chamber of the alarm, and the camera chamber is connected to the chamber of the alarm through a sleeve 15, and there is an optical fiber cable in the sleeve for signal transmission.

[0053] The first chamber and the second chamber are connected by a sleeve to ensure the stability and safety of signal transmission. When the control device detects that the guard plate is in an abnormal state, the light alarm emits a flashing light through signal transmission to alert the on-site staff. The LED light can also be clearly seen in low-light or dusty environments to ensure the warning effect, and the light alarm is installed in the second chamber, which reduces external interference and damage risks and improves the stability and safety of the equipment.

[0054] The sound alarm is located in the second chamber and is used to sound an alarm when the state of the guard plate is abnormal.

[0055] As a possible implementation method, a buzzer alarm can be installed in the second chamber of the hydraulic support. When the control device detects that the guard plate is in an abnormal state, the sound alarm sounds an alarm through signal transmission to alert the on-site staff. The sound alarm can clearly convey the alarm sound in various working environments to ensure the warning effect.

[0056] Specifically, the alarm device is arranged at the rear of the device; after receiving the above signal, the control device controls the above light alarm to alarm, a normal signal is received and the green light is always on, and an abnormal signal is received and a red and blue flash alarm is performed.

[0057] In the specific implementation process, Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, the detection device of the guard plate of the hydraulic support also includes:

[0058] A connecting seat 16 is located at one end of the top beam close to the hydraulic support;

[0059] The detection device of the guard plate of the hydraulic support is installed under the top beam of the hydraulic support through the connecting seat. The hydraulic system obtains the monitoring images of the guard plate and the roller 17 in real time, analyzes the working posture of the guard plate in real time, realizes real-time display of the working status of the guard plate and issues abnormal alarms. The connecting seat is used to fix and connect the various components of the hydraulic support, especially the detection device of the guard plate. The installation of the connecting seat ensures the structural stability of the hydraulic support and the detection device, and prevents the equipment from loosening or damage due to vibration or external force. The design of the connecting seat facilitates the rapid installation and disassembly of the components, improving the maintenance efficiency.

[0060] Housing 18;

[0061] The housing covers the entire detection device and is used to protect the internal components. The housing provides physical protection to prevent the external environment (such as dust, water, damage) from affecting the internal components and extend the service life of the device.

[0062] Cable 19, used to connect to an external power source;

[0063] The device of this solution transmits external current through cables to meet the needs of normal operation of the device. The cables are used to connect to external power sources to provide power for the detection device. The connection of the cables ensures a stable power supply for the detection device and prevents equipment failures caused by insufficient power.

[0064] Lamp cover 20, used to protect the alarm device;

[0065] The lampshade can effectively protect the alarm device from damage or malfunction caused by external impact or dust coverage. The design of the lampshade can also enhance the visibility of the alarm light, ensuring that the warning signal can be clearly seen in various environments.

[0066] The protective cover 21 is used to protect the sensing device.

[0067] The protective cover can effectively protect the sensor equipment and prevent equipment damage caused by the external environment (such as dust, water, damage). Through the protection of the protective cover, the sensor equipment can work stably in harsh environments, improving the reliability and service life of the detection device.

[0068] Specifically, the camera chamber is connected to the alarm chamber through a sleeve; an optical fiber cable is arranged in the sleeve for data signal transmission; the sleeve is connected to the protective shell through a connecting frame 22; and the protective shell is connected to the top beam of the hydraulic support through a connecting seat on the outer wall.

[0069] Specifically, the sleeve is connected to the protective shell through a connecting frame, the front end of the protective shell is connected to a transparent protective cover, the rear end of the protective shell is connected to a back cover 23, and the middle of the back cover is connected to a transparent lampshade. The protective shell, the transparent protective cover, the back cover, and the transparent lampshade can be connected and fixed into a whole through a nut 24, which serves as the exterior of the entire device, and can better protect the internal components of the monitoring and alarm device, and can also meet the needs of image information acquisition and alarm feedback warning.

[0070] Specifically, the outer wall of the protective shell is provided with a connecting seat, through which the entire hydraulic support guard plate posture abnormality monitoring and light alarm device can be connected to the lower part of the hydraulic support top beam;

[0071] In summary, the design of the connection seat and the shell ensures the structural stability of the hydraulic support and the detection device, reduces the loosening or damage of the equipment due to vibration or external force, and improves the stability of the device; the design of the cable, lampshade and protective cover provides multi-level physical protection to prevent the external environment from damaging the internal components and extend the service life of the equipment. The connection of the cables ensures a stable power supply for the detection device and prevents equipment failures due to insufficient power. The design of the lampshade enhances the visibility of the alarm light and ensures that the warning signal can be clearly seen in various environments. The design of the protective cover enables the sensing equipment to work stably in harsh environments and improves the reliability and service life of the detection device.

[0072] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the detection device for the guard plate of the hydraulic support of the present application will be described in detail below in combination with specific embodiments.

[0073] The detection device of the hydraulic support guard plate is installed at the lower part of the hydraulic support top beam through the connecting seat, which is used to obtain the monitoring images of the guard plate and the hydraulic support roller in real time, analyze the working posture of the guard plate in real time, realize the real-time display of the working status of the guard plate and issue an abnormal alarm. Figure 6As shown, Figure 6 The device includes: an image information acquisition unit (i.e., the function of a sensing device), an image information processing unit (i.e., the function of a control device), an image data analysis unit (i.e., the function of a control device), and a light alarm unit (i.e., the function of an alarm device). The image acquisition unit is arranged at the lower part of the top beam of the hydraulic support, and acquires the running posture image of the side guard plate in real time. The image data processing unit performs noise reduction, defogging, and feature extraction on the hydraulic support posture image acquired by the image information acquisition unit. The image data analysis unit determines whether the posture of the side guard plate is abnormal. The light alarm unit arranged at the rear end of the device performs a high-frequency red and blue flash alarm after receiving the alarm signal. This solution can monitor the working posture of the side guard plate in real time and realize abnormal alarm.

[0074] An image information acquisition unit, corresponding to the acquisition of the posture information of the guard plate, is equipped with a high-resolution explosion-proof camera at the lower part of the top beam of the hydraulic support to collect the posture image of the guard plate in real time;

[0075] The image data processing unit is connected to the image information acquisition unit, and uses a convolutional neural network to extract the image modal feature vector. Based on the deep learning algorithm, the image modal feature vector is input into the trained deep learning model to obtain the working posture of the guard plate.

[0076] An image data analysis unit is connected to the image data processing unit, and analyzes the processed image information in real time to determine whether the posture of the guard plate is abnormal. When the posture of the guard plate is normal, a safety signal is sent, and when the posture of the guard plate is abnormal, an alarm signal is sent;

[0077] The light alarm unit is connected to the above-mentioned image data analysis unit and is used to provide feedback after receiving the signal. The normal signal is a green light that is always on, and the abnormal signal is a red and blue flashing alarm.

[0078] After receiving the working posture image of the side guard plate sent by the image data processing unit, the image data analysis unit performs analysis and processing to confirm whether the working posture of the side guard plate is normal and sends a corresponding signal. If the posture is normal, a normal signal is output; if the posture is abnormal, an alarm signal is output.

[0079] The image information acquisition unit corresponds to the guard plate and the coal mining machine drum. The image information acquisition unit is used to obtain the monitoring images of the guard plate and the hydraulic support drum in real time. The image information processing unit is connected to the image information acquisition unit, and uses a convolutional neural network to extract the image modal feature vector. Based on the deep learning algorithm, the image modal feature vector is input into the trained deep learning model to obtain the working posture of the guard plate; the image data analysis unit is connected to the image data processing unit, and analyzes the processed image information in real time to determine whether the posture of the guard plate is abnormal. When the posture of the guard plate is normal, a safety signal is sent, and when the posture of the guard plate is abnormal, an alarm signal is sent. The light alarm unit is connected to the image data analysis unit and is arranged inside the alarm chamber. It is used to provide feedback and early warning through the light alarm and the sound alarm after receiving the signal. The casing is connected to the protective shell through a connecting frame. The front end of the protective shell is connected to a transparent protective cover, and the rear end of the protective shell is connected to a back cover. A lampshade is connected in the middle of the back cover. The protective shell, the transparent protective cover, the back cover, and the transparent lampshade can be connected and fixed into a whole through nuts. A connecting seat is arranged on the outer wall of the protective shell.

[0080] As mentioned above, the monitoring image of the guard plate is acquired in real time through the image information acquisition unit, the image information processing unit adopts convolutional neural network and deep learning algorithm to obtain the working posture of the guard plate, the image data analysis unit analyzes the processed image information in real time, and sends the guard plate working status signal, the light alarm unit is used to feedback and warn through LED light after receiving the signal, the normal signal feedback is a green light that is always on, and the abnormal signal feedback is a red and blue flashing alarm. The hydraulic support guard plate posture abnormality monitoring and light alarm device can not only effectively monitor the operating status of the hydraulic support guard plate, but also can combine the light alarm to achieve rapid response to abnormal situations, which can effectively reduce the occurrence of underground accidents.

[0081] The working principle of this scheme is that when using the detection device of the guard plate of the hydraulic support, firstly, the current is transmitted through the cable to enable the whole device to operate, and the image information acquisition unit in the camera chamber obtains the image information of the guard plate through the transparent protective cover, and then the image information processing unit completes the image processing, and the processed image information is used to judge the working posture of the guard plate in the image data analysis unit. A normal signal is sent when the posture is normal, and an abnormal signal is sent when the posture is abnormal. The data signal is transmitted to the light alarm unit in the alarm chamber through the cable in the casing. When a normal signal is received, the LED light in the light alarm unit emits green light through the transparent lampshade. When an abnormal signal is received, the LED light in the light alarm unit emits red and blue flashes through the transparent lampshade. Considering that there are fewer light sources and higher noise in the coal mining working face, the light can better remind the working face operator of the working status of the hydraulic support guard plate, which has certain practicality.

[0082] In this embodiment, a control method for a detection device for a side guard of a hydraulic support running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0083] Figure 7 FIG. 1 is a flow chart of a control method of a detection device for a side guard plate of a hydraulic support according to an embodiment of the present application. Figure 7 As shown, the method comprises the following steps:

[0084] Step S701, obtaining an image of a side guard plate of a hydraulic support;

[0085] Specifically, the image data collected by the sensor equipment such as the explosion-proof camera is transmitted to the control equipment by wired or wireless means. The image acquisition process requires strong real-time performance to ensure that the current state of the guard plate can be obtained in time.

[0086] Step S702, constructing an image analysis model, wherein the image analysis model is trained by a ResNet algorithm using multiple sets of training data, each set of training data in the multiple sets of training data includes historical images acquired within a historical time period and historical image recognition results corresponding to the historical images, wherein the historical image recognition results are used to characterize the historical status of the guard plate;

[0087] Specifically, multiple sets of training data are used, each set of training data includes historical images acquired within a historical time period and their corresponding historical image recognition results. The historical image recognition results are used to characterize the historical status of the guard plate and provide rich status information for the model. The ResNet algorithm is used for model training. ResNet (residual network) performs well in image recognition tasks due to its depth and accuracy. Through a large number of historical images and corresponding historical status data, an image analysis model that can accurately identify the current state of the guard plate is trained. The application of the ResNet algorithm ensures the depth and accuracy of the model and improves the accuracy of image recognition. The use of multiple sets of training data enables the model to have a strong generalization ability and can adapt to guard plate detection in different environments and states.

[0088] Step S703: input the image into the image analysis model to obtain an image recognition result corresponding to the image.

[0089] Specifically, the image collected in real time in step S701 is input into the image analysis model constructed in step S702. The model analyzes the input image, extracts features, and identifies the state of the guard plate. The model outputs an image recognition result corresponding to the image, which characterizes the current state of the guard plate. The model can quickly process image data and output recognition results in real time to ensure the rapid response capability of the detection device. The trained image analysis model can provide highly accurate recognition results and reduce misjudgments and missed judgments.

[0090] Through this embodiment, the image analysis model constructed by the ResNet algorithm can provide high-precision identification of the guard plate status, reducing misjudgments and missed judgments. Real-time acquisition and processing of image data ensures that the detection device can respond to the status changes of the guard plate in a timely manner. The high environmental adaptability and stability of sensing equipment such as explosion-proof cameras ensure the long-term stable operation of the equipment in harsh environments. Timely detection and response to abnormal conditions of the guard plate can reduce potential safety hazards and improve the overall safety of the hydraulic support system. Through high-precision image recognition, the frequency and intensity of manual inspections can be reduced, and maintenance efficiency and safety can be improved.

[0091] In the specific implementation process, the above step S701 can be implemented by the following steps:

[0092] Acquire an initial image of the side guard plate of the hydraulic support;

[0093] The explosion-proof camera is installed in the first chamber of the hydraulic support and can directly obtain the image of the guard plate. The initial image is obtained in real time to ensure that the detection device can respond to the state change of the guard plate in time.

[0094] The initial image is preprocessed to obtain an image, wherein the preprocessing method includes one or more of filtering, noise reduction, defogging and enhancement.

[0095] In the preprocessing method, filtering technology can be used to remove noise and interference in the image to improve the clarity of the image. The noise reduction algorithm can be used to reduce random noise in the image and improve the quality of the image. In an environment with haze or a lot of dust, the defogging algorithm can be used to restore the clarity and contrast of the image. The contrast and brightness of the image can be enhanced to make the image features more obvious, which is convenient for subsequent image analysis.

[0096] It can be seen that through a variety of pre-processing methods, the clarity and quality of the image can be significantly improved, providing a better data basis for subsequent image analysis. In harsh environments such as dust and haze, pre-processing technology can effectively restore the clarity of the image and ensure the stable operation of the detection device.

[0097] Specifically, Gaussian filtering and Dark Channel Prior Dehazing algorithm are used to remove haze from the guard plate working image. The ResNet network is used to extract the texture features and shape features of the guard plate image to obtain the image modal feature vector. Based on the deep learning algorithm, the image modal feature vector is input into the trained deep learning model (image analysis model) to obtain the working posture of the guard plate.

[0098] In some embodiments, after the above step S703, the following steps are also included:

[0099] When the state of the guard plate is normal, the alarm device is controlled to display a first color;

[0100] The image recognition result obtained by the image analysis model determines that the state of the guard plate is normal. The control alarm device displays the first color, which can be green or other colors, to indicate that the guard plate is in a normal state. The clear normal state display reduces the psychological pressure of the operator and improves the safety of the operation.

[0101] When the state of the guard plate is abnormal, the alarm device is controlled to alarm in a manner of displaying the second color and the third color alternately, and / or the alarm device is controlled to emit an alarm sound.

[0102] The image recognition result obtained by the image analysis model determines that the state of the guard plate is abnormal. The control alarm device alarms by alternating the second color (usually red, but can also be other colors) and the third color (usually yellow, but can also be other colors). At the same time, the alarm device can also emit an alarm sound, such as a buzzer or voice alarm. The color alternation display and alarm sound can significantly attract the attention of the operator to avoid ignoring the abnormal state. The dual visual and auditory warning mechanism ensures that the abnormal state can be quickly identified and responded to, reducing the possibility of accidents.

[0103] It can be seen that this method uses visual color display to enable operators to intuitively understand the status of the guard plate without further analyzing complex image data. The color alternating display and alarm sound in abnormal conditions significantly improve the warning effect, ensuring that abnormal conditions can be quickly identified and handled. The clear normal state display and significant abnormal state warning reduce the psychological pressure of operators and improve the safety of operations. Through multiple warning mechanisms, operators can quickly respond to abnormal conditions and reduce the possibility of accidents. Standardized alarm color and sound settings enable operators to quickly understand alarm information, reduce the risk of misoperation, and improve the overall reliability of the system.

[0104] In the specific implementation process, after the above step S701, the following steps are also included:

[0105] Recognize the guard plate in the image to obtain a state recognition result, wherein the state recognition result includes one or more of an angle, a position, integrity and a shape of the guard plate;

[0106] Image processing technology is used to analyze the acquired images to identify the angle, position, integrity, shape and other status information of the guard plate. The status recognition results obtained include one or more of the angle, position, integrity and shape of the guard plate, which are used for subsequent abnormal status determination. By identifying the multi-dimensional status information of the guard plate, the health status of the guard plate can be fully monitored to improve the comprehensiveness and accuracy of the detection. The rich status recognition results provide sufficient data support for the subsequent abnormal status determination, ensuring the accuracy and reliability of the determination.

[0107] When the state recognition result meets the preset conditions, the state of the guard plate is determined to be an abnormal state, wherein the preset conditions include one or more of a first preset condition, a second preset condition, a third preset condition and a fourth preset condition, the first preset condition being that the difference between the angle of the guard plate and the standard angle is greater than or equal to a preset angle threshold, the second preset condition being that the offset between the position of the guard plate and the standard position is greater than or equal to a preset offset threshold, the third preset condition being that there are cracks and / or holes on the surface of the guard plate, and the fourth preset condition being that the deformation amount between the shape of the guard plate and the standard shape is greater than or equal to a preset deformation threshold.

[0108] Through multi-dimensional preset conditions, the abnormal state of the guard plate can be accurately determined to reduce misjudgment and missed judgment. The setting of multiple preset conditions provides multiple guarantees to ensure that abnormal states can be accurately identified and handled. Through accurate abnormal state determination, the abnormal situation of the guard plate can be responded to quickly to reduce potential safety hazards. Standardized preset conditions make the abnormal state determination process more standardized and reliable, and improve the overall stability of the system.

[0109] It can be seen that this method can comprehensively monitor the health status of the guard plate and improve the comprehensiveness and accuracy of the detection by identifying the multi-dimensional status information of the guard plate. Through multi-dimensional preset conditions, the abnormal state of the guard plate can be accurately determined, misjudgment and missed judgment can be reduced, and the safety of the system can be ensured. Through accurate abnormal state determination, the abnormal situation of the guard plate can be responded to quickly, potential safety hazards can be reduced, and the emergency response capability of the system can be improved. Standardized preset conditions make the abnormal state determination process more standardized and reliable, and improve the overall stability of the system. Comprehensive status monitoring and accurate abnormality determination significantly enhance the safety of the system and reduce potential accidents caused by abnormal guard plates. Through accurate abnormal state determination, abnormal situations of the guard plate can be discovered and handled in a timely manner, improving maintenance efficiency and safety.

[0110] The first preset condition: pay attention to the inclination angle of the guard plate. If the difference between the real-time inclination angle of the guard plate and the standard angle exceeds the preset angle threshold, the guard plate is judged to be in an abnormal state. For example, if under normal working conditions, the inclination angle of the guard plate should be kept within ±3 degrees, and the preset angle threshold is ±5 degrees. Once the real-time angle exceeds this range, an abnormal state alarm is triggered. Assume that the first preset condition is set as: the normal working angle is 0 degrees ±3 degrees, and the abnormal angle threshold is ±5 degrees. A high-precision angle sensor is installed in the system to monitor the inclination angle of the guard plate in real time. During a mining process, the sensor reading showed that the guard plate tilted to -6 degrees, exceeding the abnormal angle threshold. The system immediately triggered an alarm, indicating that the guard plate posture was abnormal and needed to be checked or adjusted. Of course, the above numerical ranges are exemplary, and the numerical ranges can be adjusted according to the on-site conditions.

[0111] The second preset condition: pay attention to the position of the guard plate. If the offset of the guard plate relative to the standard position exceeds the preset offset threshold, it is also considered abnormal. For example, when the guard plate is working normally, its position deviation should not exceed 2 cm, and the preset offset threshold may be set to 5 cm. If this threshold is exceeded, the system will alarm. The second preset condition is set as follows: the normal position offset is 0 cm ± 2 cm, and the abnormal position offset threshold is ± 5 cm. The device contains a position sensor that can monitor the offset of the guard plate relative to the standard position. In a certain operation, the data showed that the guard plate was offset by 6 cm to the left, which exceeded the preset offset threshold. The system quickly gave a warning of abnormal position offset, prompting the operator to pay attention and may need to adjust the position of the hydraulic support. Of course, the above numerical ranges are exemplary, and the numerical ranges can be adjusted according to the on-site conditions.

[0112] The third preset condition: check the surface damage of the guard plate. Through visual inspection, such as high-resolution camera image analysis, determine whether there are cracks, voids and other damages on the surface of the guard plate. Once damage is detected, regardless of the size, it may be regarded as a sign of abnormal state. The surface image of the guard plate is captured by a high-resolution explosion-proof camera, and the image analysis algorithm is used to identify damage features such as cracks and voids. The third preset condition may be set as: once the image analysis confirms that there are obvious cracks on the surface of the guard plate, regardless of the size of the crack, it is regarded as abnormal. In one image acquisition, the algorithm identified a 3 cm long crack on the surface of the guard plate. Although the crack is not serious, it has triggered the dynamic anomaly monitoring mechanism, and an alarm was issued to indicate possible safety hazards. Of course, the above numerical ranges are exemplary, and the numerical ranges can be adjusted according to the on-site conditions.

[0113] Fourth preset condition: evaluate the shape change of the guard plate. If the shape change of the guard plate exceeds the preset deformation threshold compared with the standard shape, it is considered to be in an abnormal state. The shape change may be caused by long-term heavy pressure, material fatigue or structural damage. Under the fourth preset condition, the system checks the deviation of the guard plate shape from the standard shape. For example, the guard plate should not have any deformation during normal operation, and the preset deformation threshold may be 0.5 cm. Through image processing of the guard plate, the system finds that the width of one end of the guard plate is 1 cm wider than the standard shape, which exceeds the preset deformation threshold. The system immediately issues a warning, indicating that the guard plate may have a structural problem. Of course, the above numerical ranges are exemplary, and the numerical ranges can be adjusted according to the on-site conditions.

[0114] In some embodiments, after the above step S701, the following steps are also included:

[0115] Obtaining pressure data and vibration data, wherein the pressure data is the pressure distribution value of the guard plate when it contacts the coal wall collected by the pressure sensor, and the vibration data is the vibration frequency or amplitude of the guard plate collected by the vibration sensor;

[0116] Pressure data comes from pressure sensors, which are installed on the guard plates and record the pressure distribution when the guard plates are in contact with the coal wall. Vibration data comes from vibration sensors, which are used to monitor the vibration characteristics of the guard plates, such as vibration frequency or amplitude. Among them, pressure data reflects the pressure conditions when the guard plates are in contact with the coal wall. These data can reveal problems such as excessive or insufficient contact pressure, thereby determining whether there is equipment failure or abnormal status. Changes in vibration frequency or amplitude in vibration data are usually related to the working status and health status of the equipment, and can be used to monitor the operation of the equipment, especially in harsh environments such as coal mines, where the equipment may produce abnormal vibrations due to excessive load or damage. Through the combination of these two types of data, the behavior of the guard plates can be fully understood, and the accuracy and efficiency of equipment management can be improved.

[0117] Calculating a first difference between the pressure data and the standard pressure, and calculating a second difference between the vibration data and the standard vibration value;

[0118] By comparing the actual collected pressure data with the preset standard pressure value, the "first difference" is calculated. This difference reflects the deviation between the current guard plate pressure and the standard pressure. The standard pressure value may be set based on design specifications or empirical data. It can quickly identify abnormal pressure conditions. If the first difference exceeds the set threshold (such as too high or too low pressure), it can be used as a warning signal to remind staff to take countermeasures.

[0119] The "second difference" is calculated by comparing the vibration data with the preset standard vibration value. The standard vibration value is usually the normal vibration range obtained through experiments or historical data, which can reflect the vibration characteristics of the guard plate under normal working conditions. The difference between the vibration data and the standard value can be used to determine whether the guard plate has abnormal vibration, such as the vibration amplitude is too large or too small.

[0120] When the first difference is greater than or equal to the preset pressure difference, it is determined that the pressure of the support plate is abnormal, and a pressure identification result is obtained;

[0121] If the calculated first difference is greater than or equal to the preset pressure difference threshold, it can be determined that the guard plate has abnormal pressure. This threshold may be set according to factors such as the maximum pressure that the equipment can withstand and the working environment. When the pressure abnormality occurs, the system will output the pressure identification result, that is, confirm that the guard plate pressure is abnormal.

[0122] When the second difference is greater than or equal to the preset vibration difference, it is determined that the vibration of the support plate is abnormal, and a vibration identification result is obtained;

[0123] The calculated second difference is compared with the preset vibration difference. If the difference is greater than or equal to the threshold, it means that the guard plate has abnormal vibration, and a vibration recognition result is obtained. This threshold is usually related to the normal range of vibration frequency or amplitude, and is used to determine whether the vibration exceeds the normal range.

[0124] The weighted average of the image recognition results, pressure recognition results, and vibration recognition results is calculated to obtain a comprehensive recognition result.

[0125] Through the calculation method of weighted average, each recognition result is combined into a comprehensive recognition result. Weighted average can set different weights according to different factors (such as the reliability of data sources, the importance of different indicators, etc.). Combining the recognition results of multiple data sources can improve the accuracy and robustness of recognition and avoid misjudgment that may be caused by a single data source.

[0126] In a practical scenario, assume that during a coal mining operation, the monitoring system records the following data:

[0127] The average pressure distribution when the guard plate contacts the coal wall is 1000N / m 2 , and historical data show that the average pressure distribution under normal conditions should be 950N / m 2 , set the preset pressure difference to 50N / m 2 (That is, the pressure distribution deviation of the guard plate under normal working conditions should not exceed 50N / m 2 ).

[0128] The vibration frequency of the guard plate recorded by the vibration sensor is 20Hz, while based on the vibration frequency data under normal working conditions, the standard vibration value should be 18Hz, and the preset vibration difference is set to 2Hz (that is, the vibration frequency deviation of the guard plate under normal working conditions should not exceed 2Hz).

[0129] Real-time pressure distribution average (1000N / m 2 ) and standard pressure value (950N / m 2 ) is 50N / m 2 , which is exactly equal to the preset pressure difference, the system determines that there is a pressure abnormality on the guard plate and generates a pressure identification result.

[0130] The second difference between the real-time vibration frequency (20 Hz) and the standard vibration value (18 Hz) is 2 Hz, which is equal to the preset vibration difference. The system also determines that there is abnormal vibration of the guard plate and generates a vibration recognition result.

[0131] Assume that the image recognition result indicates that there are tiny cracks on the surface of the guard plate, but this is within the normal working range, so the image recognition result may not trigger any abnormal state.

[0132] The weight of pressure identification result is set to 0.4;

[0133] The weight of vibration recognition result is set to 0.3;

[0134] The weight of the image recognition result is set to 0.3;

[0135] The weighted average calculation is: (0.4*1)+(0.3*1)+(0.3*0)=0.7 (where 1 indicates abnormal recognition and 0 indicates normal recognition). The comprehensive recognition result is 0.7, which indicates that the system as a whole determines that the guard plate is in a moderate abnormal state (0.5 to 1.0 is moderate to severe abnormality) and immediately starts the alarm process to remind the operating personnel to check the pressure and vibration status of the hydraulic support guard plate. It may be necessary to adjust the support force distribution during coal mining or check the structural integrity of the guard plate.

[0136] It can be seen that this method comprehensively monitors the working status of the guard plate, promptly identifies equipment anomalies, and improves the accuracy and response speed of fault detection by comprehensively analyzing various data.

[0137] The embodiment of the present application also provides a control device for a detection device for the guard plate of a hydraulic support. It should be noted that the control device for the detection device for the guard plate of a hydraulic support in the embodiment of the present application can be used to execute the control method for the detection device for the guard plate of a hydraulic support provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0138] The following is an introduction to the control device of the detection device of the guard plate of the hydraulic support provided in the embodiment of the present application.

[0139] Figure 8 1 is a structural block diagram of a control device for a detection device of a side guard plate of a hydraulic support according to an embodiment of the present application. Figure 8 As shown, the device includes: an acquisition module 801, a construction module 802, and an analysis module 803.

[0140] An acquisition module 801 is used to acquire an image of a side guard plate of a hydraulic support;

[0141] A construction module 802 is used to construct an image analysis model, wherein the image analysis model is trained by a ResNet algorithm using multiple sets of training data, each set of training data in the multiple sets of training data includes historical images acquired within a historical time period and historical image recognition results corresponding to the historical images, wherein the historical image recognition results are used to characterize the historical status of the guard plate;

[0142] The analysis module 803 is used to input the image into the image analysis model to obtain the image recognition result corresponding to the image.

[0143] Through this embodiment, the image analysis model constructed by the ResNet algorithm can provide high-precision identification of the guard plate status, reducing misjudgments and missed judgments. Real-time acquisition and processing of image data ensures that the detection device can respond to the status changes of the guard plate in a timely manner. The high environmental adaptability and stability of sensing equipment such as explosion-proof cameras ensure the long-term stable operation of the equipment in harsh environments. Timely detection and response to abnormal conditions of the guard plate can reduce potential safety hazards and improve the overall safety of the hydraulic support system. Through high-precision image recognition, the frequency and intensity of manual inspections can be reduced, and maintenance efficiency and safety can be improved.

[0144] During the specific implementation process, the acquisition module includes an acquisition submodule and a preprocessing submodule. The acquisition submodule is used to acquire the initial image of the guard plate of the hydraulic support; the preprocessing submodule is used to preprocess the initial image to obtain the image, wherein the preprocessing method includes one or more of filtering, denoising, defogging and enhancement.

[0145] In some embodiments, the device also includes a first display module and a second display module. The first display module is used to control the alarm device to display a first color when the state of the guard plate is normal after inputting the above-mentioned image into the above-mentioned image analysis model to obtain the state of the above-mentioned guard plate corresponding to the above-mentioned image; the second display module is used to control the alarm device to alarm by alternatingly displaying the second color and the third color when the state of the guard plate is abnormal, and / or control the alarm device to emit an alarm sound.

[0146] During the specific implementation process, the device also includes an identification module and a determination module. The identification module is used to identify the guard plate in the image after acquiring the above-mentioned image of the above-mentioned guard plate of the above-mentioned hydraulic support, and obtain a state recognition result, wherein the state recognition result includes one or more of the angle, position, integrity and shape of the guard plate; the determination module is used to determine that the state of the guard plate is an abnormal state when the state recognition result meets the preset conditions, wherein the preset conditions include one or more of the first preset conditions, the second preset conditions, the third preset conditions and the fourth preset conditions. The first preset condition is that the difference between the angle of the guard plate and the standard angle is greater than or equal to the preset angle threshold, the second preset condition is that the offset of the position of the guard plate and the standard position is greater than or equal to the preset offset threshold, the third preset condition is that the surface of the guard plate has cracks and / or holes, and the above-mentioned fourth preset condition is that the deformation amount of the shape of the guard plate and the standard shape is greater than or equal to the preset deformation threshold.

[0147] In some embodiments, the above-mentioned device also includes a data acquisition module, a difference calculation module, a pressure identification module, a vibration identification module and an identification result synthesis module, the data acquisition module is used to obtain pressure data and vibration data after obtaining the above-mentioned image of the above-mentioned guard plate of the above-mentioned hydraulic support, wherein the pressure data is the pressure distribution value of the guard plate when it contacts the coal wall collected by the pressure sensor, and the vibration data is the vibration frequency or amplitude of the guard plate collected by the vibration sensor; the difference calculation module is used to calculate the first difference between the pressure data and the standard pressure, and calculate the second difference between the vibration data and the standard vibration value; the pressure identification module is used to determine that the pressure of the guard plate is abnormal when the first difference is greater than or equal to the preset pressure difference, and obtain a pressure identification result; the vibration identification module is used to determine that the vibration of the guard plate is abnormal when the second difference is greater than or equal to the preset vibration difference, and obtain a vibration identification result; the identification result synthesis module is used to calculate the weighted average of the image recognition result, the pressure recognition result and the vibration recognition result to obtain a comprehensive recognition result.

[0148] The control device of the detection device of the side guard plate of the hydraulic support includes a processor and a memory. The acquisition module, construction module, analysis module, etc. are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize the corresponding functions. The modules are all located in the same processor; or, the modules are located in different processors in any combination.

[0149] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the image of the guard plate can be collected by the detection device by adjusting the kernel parameters, and the state of the guard plate can be checked by image analysis. When the guard plate is abnormal, an alarm can be issued, so that manual inspection is not required, and automatic inspection can be realized, which solves the problem of low efficiency of the manual inspection of the guard plate posture in the prior art.

[0150] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0151] An embodiment of the present invention provides a guard plate detection system, comprising a hydraulic support; a guard plate detection device, located on the top beam of the above-mentioned hydraulic support, the above-mentioned detection device is any one of the guard plate detection devices of the above-mentioned hydraulic support; a control device, communicatively connected to the above-mentioned detection device, the above-mentioned control device is used for a control method of any one of the guard plate detection devices of the above-mentioned hydraulic support.

[0152] Specifically, the control method of the detection device of the guard plate of the hydraulic support includes: obtaining an image of the guard plate of the hydraulic support; constructing an image analysis model, wherein the image analysis model is trained by a ResNet algorithm using multiple sets of training data, and each set of training data in the multiple sets of training data includes historical images obtained within a historical time period and historical image recognition results corresponding to the historical images, wherein the historical image recognition results are used to characterize the historical status of the guard plate; inputting the image into the image analysis model to obtain an image recognition result corresponding to the image.

[0153] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute a control method for a detection device of a side guard plate of a hydraulic support.

[0154] Specifically, the control method of the detection device of the guard plate of the hydraulic support includes: obtaining an image of the guard plate of the hydraulic support; constructing an image analysis model, wherein the image analysis model is trained by a ResNet algorithm using multiple sets of training data, and each set of training data in the multiple sets of training data includes historical images obtained within a historical time period and historical image recognition results corresponding to the historical images, wherein the historical image recognition results are used to characterize the historical status of the guard plate; inputting the image into the image analysis model to obtain an image recognition result corresponding to the image.

[0155] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0156] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0157] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0158] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0159] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0160] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0161] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0162] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0163] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0164] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A detection device for a hydraulic support guard plate, characterized in that: include: A sensor device, at least used to collect images of the side guard plates of the hydraulic support; A control device, which is in communication with the sensor device, and is used to perform image recognition on the image to determine the state of the guard plate; An alarm device is communicatively connected with the control device, and is used for sounding an alarm when the guard plate is in an abnormal state, wherein the abnormal state includes one or more of tilt, offset, damage and deformation.

2. The detection device for the side guard plate of the hydraulic support according to claim 1 is characterized in that: The sensing device at least comprises: An explosion-proof camera is located in the first chamber, and is used to collect the image of the guard plate of the hydraulic support.

3. The detection device for the side guard plate of the hydraulic support according to claim 2 is characterized in that: The alarm device comprises: A light alarm is located in the second chamber, the first chamber and the second chamber are connected by a sleeve, and the light alarm is used to use light alarm when the state of the guard plate is the abnormal state; A sound alarm is located in the second chamber, and is used to provide a sound alarm when the state of the guard plate is the abnormal state.

4. The detection device for the side guard plate of the hydraulic support according to claim 1 is characterized in that: The detection device of the side guard plate of the hydraulic support also includes: A connecting seat, located at one end of the top beam close to the hydraulic support; shell; Cable, used to connect to external power supply; A lampshade, used to protect the alarm device; A protective cover is used to protect the sensing device.

5. A control method for a detection device for a side guard plate of a hydraulic support according to any one of claims 1 to 4, characterized in that: The method further comprises: Acquire the image of the side guard plate of the hydraulic support; Constructing an image analysis model, wherein the image analysis model is trained by a ResNet algorithm using multiple sets of training data, each set of training data in the multiple sets of training data includes historical images acquired within a historical time period and historical image recognition results corresponding to the historical images, wherein the historical image recognition results are used to characterize the historical state of the guard plate; The image is input into the image analysis model to obtain an image recognition result corresponding to the image.

6. The method according to claim 5, characterized in that Acquiring the image of the side guard plate of the hydraulic support comprises: Acquire an initial image of the side guard plate of the hydraulic support; The initial image is preprocessed to obtain the image, wherein the preprocessing method includes one or more of filtering, denoising, defogging and enhancement.

7. The method according to claim 5, characterized in that After inputting the image into the image analysis model to obtain the state of the support plate corresponding to the image, the method further includes: When the state of the guard plate is normal, controlling the alarm device to display a first color; When the state of the guard plate is the abnormal state, the alarm device is controlled to alarm in a manner of displaying the second color and the third color alternately, and / or the alarm device is controlled to emit an alarm sound.

8. The method according to claim 5, characterized in that After acquiring the image of the support plate of the hydraulic support, the method further comprises: Identify the guard plate in the image to obtain a state recognition result, wherein the state recognition result includes one or more of an angle, a position, integrity and a shape of the guard plate; When the state recognition result meets the preset conditions, the state of the guard plate is determined to be the abnormal state, wherein the preset conditions include one or more of a first preset condition, a second preset condition, a third preset condition and a fourth preset condition, the first preset condition being that the difference between the angle of the guard plate and the standard angle is greater than or equal to a preset angle threshold, the second preset condition being that the offset between the position of the guard plate and the standard position is greater than or equal to a preset offset threshold, the third preset condition being that there are cracks and / or holes on the surface of the guard plate, and the fourth preset condition being that the deformation amount between the shape of the guard plate and the standard shape is greater than or equal to a preset deformation threshold.

9. The method according to claim 5, characterized in that After acquiring the image of the support plate of the hydraulic support, the method further comprises: Obtaining pressure data and vibration data, wherein the pressure data is the pressure distribution value of the guard plate when it contacts the coal wall collected by the pressure sensor, and the vibration data is the vibration frequency or amplitude of the guard plate collected by the vibration sensor; Calculating a first difference between the pressure data and a standard pressure, and calculating a second difference between the vibration data and a standard vibration value; When the first difference is greater than or equal to a preset pressure difference, determining that the pressure of the support plate is abnormal, and obtaining a pressure identification result; When the second difference is greater than or equal to a preset vibration difference, determining that the vibration of the support plate is abnormal, and obtaining a vibration recognition result; A weighted average of the image recognition result, the pressure recognition result, and the vibration recognition result is calculated to obtain a comprehensive recognition result.

10. A guard plate detection system, characterized in that: include: Hydraulic support; A detection device for the guard plate, located on the top beam of the hydraulic support, wherein the detection device is the detection device for the guard plate of the hydraulic support as claimed in any one of claims 1 to 4; A control device is communicatively connected to the detection device, and the control device is used to execute the control method of the detection device of the guard plate of the hydraulic support according to any one of claims 5 to 9.

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