Method, device and system for adjusting tensioning degree of belt in belt conveyor

Abstract

The invention provides a method, device and system for adjusting the tensioning degree of a belt in a belt conveyor, and the method comprises the steps that monitoring state information of the contact face of a pinch roller acting on the belt conveyor and the belt is obtained, and the monitoring state information comprises mechanical information, environment information and belt sag information; predicting the relaxation state of the belt based on the mechanical information of the contact surface of the pinch roller and the belt, the environmental information and the sag information of the belt; and the belt tensioning device is adjusted based on the loose state of the belt so as to adjust the tensioning degree of the belt. The current loose state of the belt can be judged in time, intervention of the belt tensioning device is actively conducted in time, the tensioning program of the belt is automatically adjusted, and normal and stable operation of the belt is guaranteed.

Description

Technical Field

[0001] The present application relates to the field of material handling equipment or conveying equipment, and the field of deep learning technology in the field of artificial intelligence, and in particular to a method, device and system for adjusting the tension of a belt in a belt conveyor. Background Art

[0002] The belt pulley is a component widely used in belt conveyors and high-angle belt conveyors. Its main function is to press on the working surface of the conveyor belt so that the conveyor belt can change direction. It is a component that applies tension to the transmission belt through friction, which can effectively prevent the transmission belt from sliding and slipping. The belt pulley is mainly composed of a shell, a wheel, a bearing, a gasket and other components. The materials are generally cast iron and steel. In the process of power transmission, the belt pulley can tension the transmission belt so that it fully fits the driving wheel and the driven wheel, thereby achieving smooth power transmission. In belt conveyor equipment, the belt pulley often also assumes the task of support and positioning. By adjusting the belt pulley, the tension and fitting angle of the transmission belt can be effectively adjusted to ensure the normal operation of the transmission belt.

[0003] However, during the operation of the belt conveyor, the belt in the belt conveyor may be in a loose state, which affects the normal operation of the belt conveyor. However, there is currently a lack of effective means for automatically adjusting the tension of the belt in the belt conveyor. Summary of the invention

[0004] The present application provides a method, device and system for adjusting the tension of a belt in a belt conveyor, which can solve the problem in the related art that there is a lack of effective means for automatically adjusting the tension of a belt in a belt conveyor.

[0005] According to a first aspect of an embodiment of the present application, a method for adjusting the tension of a belt in a belt conveyor is provided, comprising:

[0006] Acquiring monitoring status information of a contact surface between a belt pressure wheel and the belt acting on the belt conveyor, wherein the monitoring status information includes mechanical information, environmental information and belt sag information;

[0007] Predicting the relaxation state of the belt based on the mechanical information, environmental information and belt sag information of the contact surface between the belt pulley and the belt;

[0008] The belt tensioning device is adjusted based on the slack state of the belt to adjust the tension of the belt.

[0009] According to a second aspect of an embodiment of the present application, there is provided a device for adjusting the tension of a belt in a belt conveyor, comprising:

[0010] An acquisition module, used for acquiring monitoring status information of a contact surface between a belt-pressing wheel and the belt acting on the belt conveyor, wherein the monitoring status information includes mechanical information, environmental information and belt sag information;

[0011] A prediction module, used for predicting the relaxation state of the belt based on the mechanical information, environmental information and belt sag information of the contact surface between the belt pulley and the belt;

[0012] The adjustment module is used to adjust the belt tensioning device based on the slack state of the belt to adjust the tension of the belt.

[0013] According to a third aspect of an embodiment of the present application, there is provided an electronic device, including:

[0014] at least one processor;

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0017] According to a fourth aspect of an embodiment of the present application, a storage medium is provided, wherein the storage medium stores instructions, and when the instructions are executed on an electronic device, the electronic device executes the method described in the first aspect above.

[0018] According to a fifth aspect of an embodiment of the present application, a system for adjusting the tension of a belt in a belt conveyor is provided, comprising:

[0019] An electronic device, wherein the electronic device is used to execute the method according to the first aspect;

[0020] An image acquisition device and / or multiple sensors, wherein the image acquisition device is used to obtain monitoring status information of the contact surface between the pinch pulley and the belt based on digital image detection technology, and the multiple sensors are used to acquire monitoring status information of the contact surface between the pinch pulley and the belt;

[0021] An actuator and a tensioning device, wherein the actuator adjusts the tensioning device to adjust the tension of the belt.

[0022] According to a sixth aspect of an embodiment of the present application, a program product is provided, comprising at least one of a program and an instruction, wherein when the at least one of the program and the instruction is executed by an electronic device, the steps of the method described in the first aspect are implemented.

[0023] According to the technical solution of the present application, the current slack state of the belt can be judged in time, the belt tensioning device can be intervened in time and proactively, and the belt tensioning program can be automatically adjusted to ensure the normal and stable operation of the belt.

[0024] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1 A schematic flow chart of a method for adjusting the tension of a belt in a belt conveyor provided in an embodiment of the present application;

[0027] Figure 2 A front view of the pinch roller provided in an embodiment of the present application;

[0028] Figure 3 A side view of a pinch roller provided in an embodiment of the present application;

[0029] Figure 4 A block diagram of a device for adjusting the tension of a belt in a belt conveyor provided in an embodiment of the present application;

[0030] Figure 5 A block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0032] The following is a description of exemplary embodiments of the present application in conjunction with the accompanying drawings, including various details of the embodiments of the present application to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0033] The terms used in one or more embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present application. The singular forms of "a", "said" and "the" used in one or more embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of the present application refers to and includes any or all possible combinations of one or more associated listed items.

[0034] It should be understood that, although the terms first, second, etc. may be used to describe various information in one or more embodiments of the present application, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0035] It should be noted that in the technical solution of this application, the collection, storage, use, processing, transmission, provision and disclosure of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals. The information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with the relevant laws, regulations and standards of relevant countries and regions.

[0036] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0037] The following describes a method, device and system for adjusting the tension of a belt in a belt conveyor according to an embodiment of the present application with reference to the accompanying drawings.

[0038] It should be noted that the execution subject of the method for adjusting the tension of the belt in the belt conveyor in the embodiment of the present application may be a device for adjusting the tension of the belt in the belt conveyor, which may be implemented by software and / or hardware, and the device may be configured in an electronic device. Exemplarily, the electronic device may include but is not limited to a terminal, a server, etc.; optionally, the electronic device may be a host computer, or may also be a control device for the belt conveyor.

[0039] Figure 1 The flowchart of the method for adjusting the tension of the belt in the belt conveyor provided in the embodiment of the present application is as follows. Figure 1 As shown, the method for adjusting the belt tension in a belt conveyor may include but is not limited to the following steps.

[0040] In step 101, monitoring status information of the contact surface between the pressure wheel and the belt on the belt conveyor is obtained. The monitoring status information includes mechanical information, environmental information and belt sag information, but is not limited thereto, and may also include sound, etc.

[0041] In some embodiments, the mechanical information may include but is not limited to pressure information. In some embodiments, the environmental information may include but is not limited to temperature information, and may also include humidity information, etc.

[0042] In some embodiments, the belt-pressing wheel may be a belt-pressing wheel with two sides. Figure 2 and Figure 3 As shown, the mechanism of the belt pressure wheel may include but is not limited to a pressure wheel frame 1, a pressure wheel shaft 2, a belt vertical seat bearing 3 and a hexagonal bolt group 4. Among them, the number of the pressure wheel frame 1 and the pressure wheel shaft 2 can be multiple, for example, two respectively; the belt vertical seat bearing 3 can be a UCP212 bearing, and the number of the belt vertical seat bearing 3 can be 4. Exemplarily, the number of the hexagonal bolt group 4 can be 8, but is not limited to this. In some embodiments, the mechanism of the belt pressure wheel can be equipped with an anti-deviation design, which not only plays the role of a belt pressure wheel, but also prevents the belt from swinging left and right and deviating during operation, thereby achieving the normal effect of the overall equipment. Among them Figure 2 and Figure 3 The numerical value near the line segment with an arrow shown in represents the spacing (or distance) value, which has nothing to do with which specific components the pinch roller mechanism includes and can be ignored.

[0043] In some embodiments, monitoring status information of the contact surface between the belt pulley and the belt acting on the belt conveyor can be obtained based on multi-source data. The multi-source data may include first source data and second source data, the first source data may include monitoring status information collected based on multiple sensors, and the second source data may include monitoring status information obtained based on digital image detection technology.

[0044] Exemplarily, a variety of sensors can be set near the contact surface between the belt pulley and the belt on the belt conveyor, including but not limited to strain displacement sensors (or pressure sensors, etc.), environmental monitoring sensors (such as temperature sensors, etc.), and sag detection sensors. Among them, the strain displacement sensor can detect the displacement and strain of the contact surface between the belt pulley and the belt, and obtain the corresponding pressure information by analyzing the displacement and strain of the contact surface; or the pressure information of the contact surface between the belt pulley and the belt can be directly detected by the pressure sensor. The environmental monitoring sensor can detect the environmental information of the contact surface between the belt pulley and the belt. For example, taking the environmental monitoring sensor as a temperature sensor as an example, the temperature information of the contact surface between the belt pulley and the belt can be detected by the temperature sensor. Exemplarily, the sag detection sensor can be a tension sensor or a displacement sensor. The tension sensor can be used to detect the tension state of the contact surface between the belt pulley and the belt. By monitoring the tension change of the contact surface, the sag of the belt can be indirectly reflected. The displacement sensor can directly measure the deformation of the contact surface between the belt pulley and the belt, including the sag. By being installed on the front and rear parts of the belt, the longitudinal and lateral deformation of the belt can be monitored in real time. Therefore, monitoring status information of the contact surface, such as mechanical information (such as pressure information), environmental information (such as temperature information) and belt sag information, can be collected based on multiple sensors near the contact surface between the pressure pulley and the belt. That is, the monitoring status information collected by multiple sensors can be used as the first source data.

[0045] Exemplarily, an image acquisition device, such as a camera (such as a high-speed camera with infrared function), can be set near the contact surface between the belt pulley and the belt on the belt conveyor. The image acquisition device is used to acquire images of the contact surface between the belt pulley and the belt and perform image digitization processing, and a matching operation is performed on the selected image area to obtain monitoring status information of the contact surface between the belt pulley and the belt, such as mechanical information (such as pressure information), environmental information (such as temperature information) and belt sag information, that is, the monitoring status information obtained by digital image detection technology is used as the second source data. Exemplarily, the above matching operation includes but is not limited to image target detection, etc.

[0046] For example, a high-resolution camera can be used to capture the random speckle pattern of the contact surface between the pressure roller and the belt, and the displacement field and strain field in the image sequence can be analyzed by an algorithm to indirectly calculate the pressure distribution. A camera (such as a high-speed camera with infrared function) can be used to capture the thermal radiation of the contact surface between the pressure roller and the belt to generate a temperature distribution image, and non-contact temperature measurement can be achieved through pixel-level temperature calibration, so that the temperature information of the contact surface between the pressure roller and the belt can be obtained. A camera (such as a camera with structured light function) can be used to project a specific grating pattern onto the surface of the contact surface between the pressure roller and the belt, and the deformed pattern can be captured by the camera. The three-dimensional geometric shape is reconstructed using the triangulation principle to calculate the sag information of the contact surface. Alternatively, the edge contour of the contact surface can be captured by a multi-camera system, and the sag information of the contact surface can be calculated by combining image processing algorithms (such as Canny edge detection and Hough transform). Alternatively, a convolutional neural network (CNN) can be trained to identify the position of the contact surface and segment the sag area, and the degree of sag can be quantified by combining a geometric model, so that the trained convolutional neural network can be used to detect the sag information of the contact surface between the pressure roller and the belt.

[0047] In some embodiments, when obtaining the above-mentioned first source data and second source data, the first source data and the second source data can be fused separately on the corresponding monitoring state parameters, and the fused data can be determined as the monitoring state information. Exemplarily, the fusion process can be: averaging the corresponding monitoring state parameters in the first source data and the second source data, but is not limited to this, for example, weighted summing the corresponding monitoring state parameters in the first source data and the second source data, wherein the sum of the weight of the first source data and the weight of the second source data is 1. Exemplarily, the formula for the weighted summing process can be expressed as follows:

[0048] X i =βX 1i +(1-β)X 2i

[0049] Among them, X i is the monitoring status information of the contact surface between the pressure pulley and the belt obtained based on multi-source data; X 1i is the first source data, i.e., the monitoring status information collected based on multiple sensors, β is the weight of the first source data; X 2i is the second source data, i.e., the monitoring status information obtained based on the digital image detection technology, (1-β) is the weight of the second source data; the value range of i is 1, 2, 3, when i is 1, it represents the mechanical information of the contact surface between the pressure pulley and the belt, when i is 2, it represents the environmental information of the contact surface between the pressure pulley and the belt, and when i is 3, it represents the belt sag information of the contact surface between the pressure pulley and the belt.

[0050] In step 102, the loose state of the belt is predicted based on the mechanical information of the contact surface between the pressure pulley and the belt, the environmental information and the belt sag information.

[0051] In an embodiment of the present application, the relaxation state of the belt can be predicted based on the mechanical information, environmental information and belt sag information of the contact surface between the pressure wheel and the belt, using deep learning technology. In some embodiments, the mechanical information, environmental information and belt sag information of the contact surface between the pressure wheel and the belt can be input into a pre-trained deep neural network model for prediction to obtain the relaxation state of the belt. Among them, the deep neural network model has learned the monitoring state information of the contact surface between the pressure wheel and the belt, and the mapping relationship between the relaxation state of the belt. The deep neural network model can be trained based on the historical monitoring state information of the contact surface between the pressure wheel and the belt. Exemplarily, the network structure of the deep neural network model can be a convolutional neural network, or the network structure of the deep neural network model can be LSTM (Long Short-Term Memory, long short-term memory network) and the like. For example, the above-mentioned mechanical information, environmental information and belt sag information can be time series data, and the LSTM model can be used to process time series data such as mechanical information, environmental information and belt sag information, so as to predict the belt state of the belt.

[0052] In step 103, the belt tensioning device is adjusted based on the slack state of the belt to adjust the tension of the belt.

[0053] In an embodiment of the present application, the belt tensioning device is adjusted in combination with an actuator based on the slack state of the belt to adjust the tension of the belt. In some embodiments, the tension of the belt that needs to be adjusted can be determined based on the slack state of the belt; based on the slack state of the belt, combined with real-time monitoring of the monitoring status information of the contact surface between the belt pressure wheel and the belt, the actuator is driven to adjust the belt tensioning device so that the slack state of the belt meets the target slack state of the belt when the belt conveyor is operating normally. That is, when it is determined that the tension of the belt needs to be adjusted based on the slack state of the belt, the actuator can be driven to adjust the belt tensioning device based on the slack state of the belt. During the adjustment process, the monitoring status information of the contact surface between the belt pressure wheel and the belt can be monitored in real time. Combined with the monitored real-time value, the actuator is driven to adjust the belt tensioning device so that the slack state of the belt meets the target slack state of the belt when the belt conveyor is operating normally.

[0054] Optionally, in some embodiments, when it is determined that the tension of the belt needs to be adjusted based on the loose state of the belt, an alarm reminder is given based on a preset alarm strategy. The alarm strategy includes at least one of the following: real-time value alarm based on a set alarm threshold; setting corresponding alarm curves for the operating conditions of the motor in the belt conveyor at different speeds or loads, and giving alarms according to specific conditions; abnormal temperature alarm function, which includes the historical record and screening function of temperature alarms, alarm details and visual evidence function, and long-term temperature statistics and trend analysis function.

[0055] For example, the pressure, temperature and belt sag changes at the contact surface between the pressure pulley and the belt can be recorded and analyzed at different times to ensure that when the belt becomes loose, the tensioning device can be accurately and timely adjusted based on the monitored data, and related operations can be recorded in the history panel. When a situation occurs that cannot be solved by active adjustment, an alarm strategy can be set.

[0056] For example, by comparing the historical curves and real-time display values ​​of the pressure, temperature, and belt sag changes between the belt pulley and the belt contact surface, active intervention and early warning reminders can be made for the tensioning device. The pressure, temperature, and sag alarm strategies may include the following: 1) Real-time value alarm: Through the preset alarm threshold, it is sent to the data acquisition device, and the alarm level is automatically given according to the set alarm threshold; 2) Curve alarm (variable working condition alarm): The corresponding alarm curve can be set for the motor's operating conditions at different speeds or loads, and alarms and protections are performed according to specific working conditions to eliminate the impact of variable working conditions on fault prediction. Infrared temperature measurement temperature abnormality alarm function: 1) It can display the equipment temperature alarm within the first time period (such as 30 days), and can be filtered by alarm source, temperature measurement position, region, alarm type, and alarm time; 2) It can view the alarm details, including alarm snapshot pictures and video information, where the video information supports superimposed display of temperature measurement rules; 3) It supports the display of temperature statistics of a single temperature measurement rule within the second time period (such as one year), including the highest temperature, the lowest temperature, and the average temperature. For example, if the time span is within 30 days, the information can be displayed in the hour dimension, and if the time span is more than 30 days, the information can be displayed in the day dimension. 4) Video temperature measurement function: The temperature measurement camera (such as a high-speed camera with infrared function) is used for real-time video viewing. 5) Video temperature measurement function: The temperature measurement camera (such as a high-speed camera with infrared function) is used for video playback.

[0057] Optionally, in some embodiments, an online analysis can be performed based on the real-time value of the monitoring status information of the contact surface between the pressure pulley and the belt, and the real-time value and the online analysis result can be superimposed on the video image of the belt conveyor, and displayed in an intuitive form on the visual interface to guide the operation and maintenance personnel to analyze and handle the fault. Exemplarily, the above-mentioned online analysis can refer to the prediction of the above-mentioned belt relaxation state (i.e., the belt relaxation state is predicted based on the monitoring status information of the contact surface between the pressure pulley and the belt), and / or can also include the above-mentioned alarm reminder. This embodiment can display the current belt relaxation state in the most intuitive form through the real-time display and online analysis of the monitoring status information of the contact surface between the pressure pulley and the belt, and guide the operation and maintenance personnel to analyze and handle the fault.

[0058] In the above embodiment, the monitoring status information of the contact surface between the pressure pulley and the belt is measured online, such as measuring the pressure and temperature of the contact surface and the change of the belt sag, to comprehensively judge the current slack state of the belt. That is, the current slack state of the belt can be judged in time, the belt tensioning device can be intervened in time and proactively, and the belt tensioning program can be automatically adjusted to ensure the normal and stable operation of the belt.

[0059] Figure 4 A block diagram of a device for adjusting the tension of a belt in a belt conveyor provided in an embodiment of the present application. Figure 4 As shown, the device for adjusting the tension of a belt in a belt conveyor may include: an acquisition module 401 , a prediction module 402 and an adjustment module 403 .

[0060] The acquisition module 401 is used to acquire monitoring status information of the contact surface between the belt pulley and the belt acting on the belt conveyor, and the monitoring status information includes mechanical information, environmental information and belt sag information.

[0061] The prediction module 402 is used to predict the relaxation state of the belt based on the mechanical information of the contact surface between the pressure pulley and the belt, the environmental information and the belt sag information.

[0062] The adjustment module 403 is used to adjust the belt tensioning device based on the loose state of the belt to adjust the tension of the belt.

[0063] In some embodiments, the acquisition module 401 is used to: acquire monitoring status information of the contact surface between the pressure wheel and the belt on the belt conveyor based on multi-source data; wherein the multi-source data includes first source data and second source data, the first source data includes monitoring status information collected based on multiple sensors, and the second source data includes monitoring status information obtained based on digital image detection technology.

[0064] In some embodiments, the prediction module 402 is used to: input the mechanical information, environmental information and belt sag information of the contact surface between the pressure pulley and the belt into a pre-trained deep neural network model for prediction to obtain the relaxation state of the belt; wherein the deep neural network model has learned the mapping relationship between the monitoring status information of the contact surface between the pressure pulley and the belt and the relaxation state of the belt, and the deep neural network model is trained based on the historical monitoring status information of the contact surface between the pressure pulley and the belt.

[0065] In some embodiments, the adjustment module 403 is used to: determine the need to adjust the tension of the belt according to the slack state of the belt; based on the slack state of the belt, combined with real-time monitoring of the monitoring status information of the pressure wheel and the belt contact surface, drive the actuator to adjust the belt tensioning device so that the slack state of the belt meets the target slack state of the belt when the belt conveyor is operating normally.

[0066] In some embodiments, the device for adjusting the tension of the belt in the belt conveyor may also include an alarm module. The alarm module is used to: when it is determined that the tension of the belt needs to be adjusted based on the slack state of the belt, an alarm reminder is given based on a preset alarm strategy; the alarm strategy includes at least one of the following: real-time value alarm based on a set alarm threshold; setting corresponding alarm curves for the operating conditions of the motor in the belt conveyor at different speeds or loads, and giving an alarm according to specific conditions; abnormal temperature alarm function, which includes a historical record and screening function of temperature alarms, alarm details and visual evidence function, and long-term temperature statistics and trend analysis function.

[0067] In some embodiments, the device for adjusting the tension of the belt in the belt conveyor may further include a visualization module. The visualization module is used to: perform online analysis based on the real-time value of the monitoring status information of the contact surface between the belt pulley and the belt, superimpose the real-time value and the online analysis result on the video image of the belt conveyor, and display them in an intuitive form on the visualization interface to guide the operation and maintenance personnel to analyze and handle the fault.

[0068] It should be noted that the aforementioned explanation of the method embodiment for adjusting the belt tension in a belt conveyor is also applicable to the device for adjusting the belt tension in a belt conveyor in this embodiment, and will not be repeated here.

[0069] The embodiment of the present application also provides a system for adjusting the tension of a belt in a belt conveyor, and the system may include: an electronic device, an image acquisition device and / or a variety of sensors, an actuator and a tensioning device. Among them, the electronic device can be used to execute the method for adjusting the tension of a belt in a belt conveyor provided in the present application. The image acquisition device is used to obtain monitoring status information of the contact surface between the pressure wheel and the belt based on digital image detection technology, and a variety of sensors are used to collect monitoring status information of the contact surface between the pressure wheel and the belt. The actuator adjusts the tensioning device to adjust the tension of the belt. Optional implementation methods can refer to the optional implementation methods of the aforementioned method for adjusting the tension of a belt in a belt conveyor, which will not be repeated here.

[0070] Figure 5 Block diagram of an electronic device provided for an embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0071] like Figure 5 As shown, the electronic device includes: one or more processors 501, a memory 502, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In other embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 5 A processor 501 is taken as an example.

[0072] The memory 502 is a non-transitory computer-readable storage medium provided in the present application. The memory stores instructions executable by at least one processor, so that the at least one processor executes the method for adjusting the tension of the belt in the belt conveyor provided in the present application. The non-transitory computer-readable storage medium of the present application stores computer instructions, which are used to cause a computer to execute the method for adjusting the tension of the belt in the belt conveyor provided in the present application.

[0073] The memory 502 is a non-transient computer-readable storage medium that can be used to store non-transient software programs, non-transient computer executable programs and modules, such as the program instructions / modules corresponding to the method for adjusting the tension of a belt in a belt conveyor in the embodiment of the present application (for example, the attached Figure 4 The processor 501 executes various functional applications and data processing of the server by running the non-transient software programs, instructions and modules stored in the memory 502, that is, the method for adjusting the belt tension in the belt conveyor in the above method embodiment is implemented.

[0074] The memory 502 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 502 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 502 may optionally include a memory remotely arranged relative to the processor 501, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0075] The electronic device may further include: an input device 503 and an output device 504. The processor 501, the memory 502, the input device 503 and the output device 504 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0076] The input device 503 can receive input digital or character information, and generate key signal input related to user settings and function control of the electronic device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick and other input devices. The output device 504 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The display device may include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display and a plasma display. In some embodiments, the display device may be a touch screen.

[0077] Various implementations of the systems and techniques described herein can be realized in digital electronic circuit systems, integrated circuit systems, dedicated ASICs (application specific integrated circuits), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0078] These computer programs (also referred to as programs, software, software applications, or code) include machine instructions for programmable processors and can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, device, and / or means (e.g., disk, optical disk, memory, programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0079] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0080] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), the Internet, and a blockchain network.

[0081] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0082] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0083] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for adjusting the tension of a belt in a belt conveyor, characterized in that: include: Acquire monitoring status information of a contact surface between a belt pulley and the belt acting on the belt conveyor, wherein the monitoring status information includes mechanical information, environmental information, and belt sag information; Predicting the relaxation state of the belt based on the mechanical information, environmental information and belt sag information of the contact surface between the belt pulley and the belt; The belt tensioning device is adjusted based on the slack state of the belt to adjust the tension of the belt.

2. The method according to claim 1, characterized in that The obtaining of monitoring status information of the contact surface between the belt pressure wheel and the belt acting on the belt conveyor includes: Based on multi-source data, monitoring status information of the pressure wheel on the belt conveyor and the belt contact surface is obtained; wherein the multi-source data includes first source data and second source data, the first source data includes monitoring status information collected based on multiple sensors, and the second source data includes monitoring status information obtained based on digital image detection technology.

3. The method according to claim 1, characterized in that The predicting of the belt slack state based on the mechanical information, environmental information and belt sag information of the contact surface between the belt pulley and the belt comprises: Inputting mechanical information, environmental information and belt sag information of the contact surface between the belt pulley and the belt into a pre-trained deep neural network model for prediction to obtain a relaxation state of the belt; Among them, the deep neural network model has learned the monitoring status information of the contact surface between the pressure pulley and the belt, and the mapping relationship between the belt relaxation state. The deep neural network model is trained based on the historical monitoring status information of the contact surface between the pressure pulley and the belt.

4. The method according to claim 1, characterized in that The step of adjusting the belt tensioning device based on the slack state of the belt to adjust the tension of the belt comprises: According to the slack state of the belt, determining whether the tension of the belt needs to be adjusted; Based on the slack state of the belt and combined with real-time monitoring of the monitoring status information of the contact surface between the belt pressure wheel and the belt, the driving actuator adjusts the belt tensioning device so that the slack state of the belt meets the target slack state of the belt when the belt conveyor operates normally.

5. The method according to claim 1, characterized in that The method further comprises: When it is determined that the tension of the belt needs to be adjusted based on the loose state of the belt, an alarm reminder is given based on a preset alarm strategy; The alarm strategy includes at least one of the following: Real-time value alarm based on the set alarm threshold; According to the operating conditions of the motor in the belt conveyor at different speeds or loads, corresponding alarm curves are set, and alarms are issued according to specific operating conditions; The temperature abnormality alarm function includes a temperature alarm history recording and screening function, an alarm detail and visual evidence function, and a long-term temperature statistics and trend analysis function.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: An online analysis is performed based on the real-time value of the monitoring status information of the contact surface between the pressure wheel and the belt, and the real-time value and the online analysis result are superimposed on the video image of the belt conveyor and displayed in an intuitive form on a visual interface to guide operation and maintenance personnel to analyze and handle faults.

7. A device for adjusting the tension of a belt in a belt conveyor, characterized in that: include: An acquisition module, used to acquire monitoring status information of a contact surface between a belt-pressing wheel and the belt acting on the belt conveyor, wherein the monitoring status information includes mechanical information, environmental information and belt sag information; A prediction module, used for predicting the relaxation state of the belt based on the mechanical information, environmental information and belt sag information of the contact surface between the belt pulley and the belt; The adjustment module is used to adjust the belt tensioning device based on the slack state of the belt to adjust the tension of the belt.

8. An electronic device, characterized in that: include: at least one processor; a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

9. A storage medium storing instructions, characterized in that: When the instructions are executed on an electronic device, the electronic device is caused to execute the method according to any one of claims 1 to 6.

10. A system for adjusting the tension of a belt in a belt conveyor, characterized in that: include: An electronic device, the electronic device being used to execute the method according to any one of claims 1 to 6; An image acquisition device and / or multiple sensors, wherein the image acquisition device is used to obtain monitoring status information of the contact surface between the pinch pulley and the belt based on digital image detection technology, and the multiple sensors are used to acquire monitoring status information of the contact surface between the pinch pulley and the belt; An actuator and a tensioning device, wherein the actuator adjusts the tensioning device to adjust the tension of the belt.

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