Fuel-operated belt tear online monitoring and early warning system

Abstract

The present application relates to the technical fields of belt tearing online monitoring, more particularly to a fuel running belt tearing online monitoring and early warning system, comprising: a belt, wherein the interlayer is set to be different from the surface layer in color; a collection module capable of collecting data of the belt; a control module for analyzing and judging according to the data information of the collection module, monitoring and early warning of the belt tearing; the belt multilayer property is utilized, the interlayer is set to be different from the surface layer in color, which is conducive to improving the accuracy of the tearing trace judgment; the real-time monitoring of the belt tearing is realized through the real-time collection of the belt data; through the setting of the inductor unit and the sensor, the internal monitoring of the belt can be realized, and the monitoring of the accident occurrence position can be realized at the same time, improving the monitoring efficiency.

Description

Technical Field

[0001] This invention relates to the field of online monitoring technology for belt tearing, and more specifically to an online monitoring and early warning system for fuel conveyor belt tearing. Background Technology

[0002] Belt conveyors are a crucial transportation method used in industries such as ports, mines, thermal power plants, logistics, and warehousing, and the belt is a vital component of these systems. However, during transport, impurities in the conveyed material or impacts from sharp parts of fuel frequently cause belt tears, including longitudinal and transverse tears. Failure to detect these tears promptly can result in significant economic losses and severely impact production efficiency. To address this technical challenge, experts both domestically and internationally have researched numerous belt tear detection technologies, such as impact testing (detecting the propagation of impact force within the belt medium), abnormal idler stress detection (analyzing abnormal idler stress), ultrasonic testing (detecting the propagation of ultrasonic waves within the belt medium), piezoresistive testing (detecting material leakage beneath the belt), and sensor embedding detection (embedding conductive rubber or optical fibers into the belt). However, these belt tear detection methods have limitations in terms of accuracy in field applications, and their installation and maintenance are complex and costly.

[0003] Furthermore, current belt inspection technologies cannot accurately pinpoint the exact location of problems. If fuel damages the steel core inside the belt, there is no timely warning, leaving potential hazards for belt operation.

[0004] Therefore, how to monitor belt tears in real time, determine the location of the fault when it is detected, and provide timely warnings of potential internal hazards in the belt are problems that urgently need to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides an online monitoring and early warning system for fuel conveyor belt tearing. By setting a different color for the belt interlayer than the surface layer, the accuracy of video judgment can be improved when analyzing the video. By collecting and analyzing video of the belt, the surface of the belt can be monitored in real time, and the tear can be detected in the early stage, thus improving the safety of belt operation.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] Preferably, the above-mentioned online monitoring and early warning system for fuel belt tearing includes:

[0008] The belt has an inner layer that is a different color from the outer layer.

[0009] The data acquisition module is capable of acquiring data from the belt;

[0010] The control module analyzes and judges the data information from the acquisition module to monitor and warn of belt tears.

[0011] Compared with the prior art, the above embodiments utilize the multi-layered nature of the belt and set different colors on the surface of the interlayer, which helps to improve the accuracy of judging tear marks.

[0012] Preferably, in the above-mentioned online monitoring and early warning system for fuel conveyor belt tearing, the acquisition module includes:

[0013] The image acquisition unit acquires video image data of the belt operation site. The acquired video data is a belt image of the on-site video frame, and transmits the video data information to the control module.

[0014] The light intensity acquisition unit acquires the light intensity of the belt area acquired by the image acquisition unit and transmits the light intensity information to the control module.

[0015] Compared with the prior art, in this embodiment, the image acquisition unit is located below the belt conveyor, in a position where there is no fuel. At the same time, the influence of light intensity on image acquisition is taken into account, and light intensity is acquired to improve the efficiency of image acquisition.

[0016] Preferably, the above-mentioned online monitoring and early warning system for fuel conveyor belt tearing further includes a data acquisition auxiliary module, comprising:

[0017] The light intensity supplementation unit can supplement the light intensity of the belt area acquired by the image acquisition unit, and receive data information from the control module to adjust the supplementation intensity of the light intensity.

[0018] The belt cleaning unit is positioned before the image acquisition unit acquires data, according to the belt's running direction, and is capable of cleaning the belt surface.

[0019] Compared with the prior art, the above embodiment sets up a belt cleaning device before image acquisition to clean the fuel adhering to the belt, reducing the influencing factors on the judgment after image acquisition and improving the accuracy of tear mark judgment.

[0020] Preferably, in the above-mentioned online monitoring and early warning system for fuel conveyor belt tearing, the control module includes:

[0021] The tear detection unit, based on the on-site video data information collected by the image acquisition unit, uses the gradient histogram algorithm to obtain the gradient histogram of the belt, determines whether the belt has torn based on the gradient histogram, and generates a tear alarm.

[0022] The offset detection unit determines the offset of the belt based on the on-site video data information collected by the image acquisition unit, calculates the offset amount, and generates an offset warning when the offset amount exceeds a preset offset threshold.

[0023] The region adjustment unit adjusts the judgment region of the tear judgment unit according to the offset calculated by the offset detection unit.

[0024] The light intensity adjustment unit acquires data information from the light intensity acquisition unit. When the light intensity information exceeds the preset light intensity threshold range, the light intensity adjustment unit adjusts the light intensity until it reaches the light intensity threshold range.

[0025] Compared with the prior art, the above embodiments reduce the impact of other factors on the accuracy of tear mark judgment by detecting belt deviation and issuing early warnings, and by continuing to adjust the tear monitoring area according to the deviation amount.

[0026] Preferably, in the above-mentioned online monitoring and early warning system for fuel conveyor belt tearing, the tear judgment unit performs the following process:

[0027] Acquire on-site video data information collected by the image acquisition unit;

[0028] The graphic information within the judgment area is extracted, and gamma correction is performed on the image information;

[0029] Gradient plots are calculated on the corrected image to obtain the X-axis gradient plot, Y-axis gradient plot, gradient magnitude plot, and gradient direction plot of the image.

[0030] The image is divided into 8*8 pixel units. The magnitude and direction of the gradient of each pixel in the pixel unit are calculated. Nine gradients are set to form a histogram with a length of 9 for each pixel unit.

[0031] The obtained histogram is normalized, and the calculated feature vectors are merged.

[0032] The gradient histogram of the image is obtained by visualizing the merged feature vectors, and the gradient histogram is a black and white image;

[0033] The image within the gradient histogram is subjected to grayscale calculation. When the total grayscale value exceeds the preset grayscale range, a tearing alarm message is generated.

[0034] Compared with the prior art, the black and white image obtained by the gradient histogram algorithm in the above embodiment can accurately reflect the changes on the belt surface. By setting the color of the belt interlayer, the black and white image obtained by the gradient histogram algorithm is more obvious when the belt surface is torn, and can effectively reflect whether the belt has been torn.

[0035] Preferably, in the above-mentioned online monitoring and early warning system for fuel conveyor belt tearing, the conveyor belt is equipped with a sensor having a closed coil, the closed coil being arranged laterally; and a mark corresponding to the number of the sensor is also provided on it.

[0036] Preferably, in the above-mentioned online monitoring and early warning system for fuel conveyor belt tearing, the data acquisition unit further includes:

[0037] The sensor unit, capable of sensing the sensor, is located on one side of the image acquisition unit, receives data information sent by the sensor, and sends the data information to the control module; the data information of the sensor includes: whether the closed coil is open and the current sensor number information.

[0038] Compared with the prior art, the above embodiments, through the setting of sensor units and sensors, can realize the monitoring of the inside of the belt and the monitoring of the location of the accident, thus improving the monitoring efficiency.

[0039] Preferably, in the above-mentioned online monitoring and early warning system for fuel conveyor belt tearing, the control module further includes:

[0040] A breakage warning unit acquires data information from the sensor and generates breakage warning information when it determines that the closed coil has broken; wherein, the breakage warning information includes the sensor number and corresponding marking information;

[0041] When the alarm unit generates a tear alarm, it acquires the data information transmitted by the sensor unit, extracts the sensor information with the smallest time difference from the acquisition time of the alarm image, and determines the mark of the belt based on the sensor information.

[0042] Preferably, the above-mentioned online monitoring and early warning system for fuel belt tearing further includes:

[0043] The audible and visual alarm will emit an audible and visual alarm when a tear alarm message is generated;

[0044] The mobile device receives and displays the breakage warning information, the tear alarm information, and the belt marking information obtained by the alarm unit sent by the control module.

[0045] As can be seen from the above technical solution, compared with the prior art, the beneficial effects of the present invention are as follows:

[0046] 1. By utilizing the multi-layered nature of belts and setting different colors on the surface of the interlayer, it is beneficial to improve the accuracy of judging tear marks.

[0047] 2. In this embodiment, the image acquisition unit is located below the belt conveyor, in a position where there is no fuel. At the same time, considering the influence of light intensity on image acquisition, the light intensity is acquired to improve the efficiency of image acquisition.

[0048] 3. Before image acquisition, a belt cleaning device is installed to clean the fuel adhering to the belt, reducing the influencing factors on the judgment after image acquisition and improving the accuracy of tear mark judgment.

[0049] 4. By detecting belt deviation and issuing early warnings, the tear monitoring area is continuously adjusted based on the amount of deviation, reducing the impact of other factors on the accuracy of tear mark judgment.

[0050] 5. The black and white image obtained by the gradient histogram algorithm can accurately reflect the changes on the belt surface. By setting the color of the belt interlayer, the black and white image obtained by the gradient histogram algorithm is more obvious when the belt surface is torn, and can effectively reflect whether the belt has been torn.

[0051] 6. By setting up sensor units and sensors, it is possible to monitor the inside of the belt and the location of accidents, thereby improving monitoring efficiency. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0053] Figure 1 The attached figure is a schematic diagram of the system information flow of the present invention. Detailed Implementation

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0056] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the system or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0057] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0058] like Figure 1 As shown in the figure, an embodiment of the present invention discloses an online monitoring and early warning system for fuel conveyor belt tearing, comprising:

[0059] The belt has an inner layer that is a different color from the outer layer.

[0060] In existing technology, belts have three layers: Belt body layer: The belt body layer is made of rubber or other materials and is primarily responsible for transmitting power. Reinforcing layer: The reinforcing layer is located below the belt body layer and is typically made of materials such as synthetic fibers or steel wire. Cover layer: The cover layer is usually located above the belt body layer. It protects the belt body layer from damage and provides special properties such as oil resistance and heat resistance.

[0061] In this embodiment, an additional layer is added among the three layers to distinguish it from the cover layer (surface layer) by color. The added layer should be thin to avoid excessive volume affecting the performance of the belt.

[0062] The data acquisition module is capable of acquiring data from the belt.

[0063] The control module analyzes and judges the data information from the acquisition module to monitor and warn of belt tears.

[0064] In the above embodiments, the control module is preferably a monitoring center within the factory area, using the powerful computing capabilities of the server within the monitoring center to provide effective analysis capabilities for the system.

[0065] The beneficial effects of the above embodiments are as follows: by utilizing the multi-layered nature of the belt and setting different colors on the surface of the interlayer, it is beneficial to improve the accuracy of judging tear marks; and by collecting belt data in real time, real-time monitoring of belt tearing is realized.

[0066] In one embodiment, a fuel conveyor belt tear online monitoring and early warning system includes a data acquisition module comprising:

[0067] The image acquisition unit acquires video image data of the belt operation site. The acquired video data consists of belt images of video frames and is transmitted to the control module.

[0068] The image acquisition unit includes a camera and a data transmission device, which are existing technologies; wherein, the camera is installed below the belt running to acquire video data.

[0069] The light intensity acquisition unit acquires the light intensity of the belt area acquired by the image acquisition unit and transmits the light intensity information to the control module.

[0070] The light intensity acquisition unit, including a light sensor, a data conversion device, and a data transmission device, is based on existing technology. The area acquired by the light sensor is the same as the area acquired by the camera. The light intensity data is converted into data information by the data conversion device and then transmitted to the monitoring center for data analysis via the data transmission device.

[0071] The beneficial effects of the above embodiments are as follows: the camera is set below the belt conveyor, in a position where there is no fuel, and the light is weak and changes over time. Considering the influence of light intensity on image acquisition, the light intensity is collected to improve the efficiency of image acquisition.

[0072] In one embodiment, a fuel conveyor belt tear online monitoring and early warning system is characterized in that it further includes a data acquisition auxiliary module, comprising:

[0073] The light intensity supplement unit can supplement the light intensity of the belt area acquired by the image acquisition unit, and adjust the supplementary light intensity by receiving data information from the control module.

[0074] The light intensity supplement unit includes a supplementary light and a controller. The controller can infinitely adjust the supplementary light, which is existing technology. The controller is connected to the control center via a line.

[0075] The belt cleaning unit is positioned before the image acquisition unit to collect data, according to the belt's running direction, and can clean the belt surface.

[0076] The belt cleaning unit is a broom-type cleaning device positioned in front of the camera's capture area, according to the belt's direction of movement, to clean the belt. The cleaning device is positioned laterally to remove any fuel residue.

[0077] The beneficial effects of the above embodiments are: cleaning the fuel adhering to the belt reduces the influencing factors on the judgment after image acquisition and improves the accuracy of tear mark judgment.

[0078] In one embodiment, a fuel belt tear online monitoring and early warning system includes a control module comprising:

[0079] The tear detection unit uses the gradient histogram algorithm to obtain the gradient histogram of the belt based on the on-site video data collected by the image acquisition unit, determines whether the belt has torn, and generates a tear alarm.

[0080] The offset detection unit judges the belt offset based on the on-site video data information collected by the image acquisition unit, calculates the offset amount, and generates an offset warning when the offset amount exceeds the preset offset threshold.

[0081] The area adjustment unit adjusts the judgment area of ​​the tear judgment unit based on the offset calculated by the offset detection unit.

[0082] The light intensity adjustment unit acquires data from the light intensity acquisition unit. When the light intensity exceeds the preset light intensity threshold range, the light intensity supplementation unit adjusts the light intensity until it reaches the light intensity threshold range.

[0083] The beneficial effects of the above embodiments are: by detecting belt deviation and issuing early warnings, and by continuously adjusting the tear monitoring area according to the amount of deviation, the accuracy of tear mark judgment is reduced by other factors.

[0084] In one embodiment, the tear detection unit of a fuel conveyor belt tear online monitoring and early warning system performs the following process:

[0085] Acquire on-site video data information collected by the image acquisition unit;

[0086] It should be noted that when the camera collects data, it will collect data over a large area. The belt area that needs to be judged should be set as the judgment area.

[0087] Obtain the preset judgment area, extract the graphic information within the judgment area, and perform gamma correction on the image information;

[0088] Gradient plots are calculated on the corrected image to obtain the X-axis gradient plot, Y-axis gradient plot, gradient magnitude plot, and gradient direction plot of the image.

[0089] The image is divided into 8*8 pixel units. The magnitude and direction of the gradient of each pixel in the unit are calculated. Nine gradients are set to form a histogram with a pixel unit length of 9.

[0090] The obtained histogram is normalized, and the calculated feature vectors are merged.

[0091] The gradient histogram of the merged feature vectors is visualized and is a black and white image.

[0092] The image within the gradient histogram is subjected to grayscale calculation. When the total grayscale value exceeds the preset grayscale range, a tearing alarm message is generated.

[0093] In the above embodiments, the calculation of the gradient histogram is a prior art technique;

[0094] The beneficial effects of the above embodiments are as follows: the black and white image obtained by the gradient histogram algorithm can accurately reflect the changes on the belt surface. By setting the color of the belt interlayer, the black and white image obtained by the gradient histogram algorithm is more obvious when the belt surface is torn, and can effectively reflect whether the belt has been torn.

[0095] In one embodiment, a fuel conveyor belt tear online monitoring and early warning system is characterized in that the belt has a sensor with a closed coil arranged laterally; and a mark corresponding to the sensor number is also provided on the belt.

[0096] Based on the above description of the belt, the closed coil of the sensor is set in the reinforcing layer of the belt. The opening of the closed coil is used to determine whether the steel wire in the reinforcing layer has broken. The judgment cannot indicate a definite result, but it can provide an early warning of the belt's condition.

[0097] In the above embodiments, the sensor is existing technology; the markings on the belt can be made by applying paint to the edge of the belt, making them easy to spot and identify.

[0098] In one embodiment, a fuel belt tear online monitoring and early warning system, including a data acquisition unit, further includes:

[0099] The sensor unit, located on one side of the image acquisition unit, is capable of sensing the sensor and receives data information sent by the sensor, and then sends the data information to the control module. The sensor data information includes: whether the closed coil is open and the current sensor number.

[0100] The sensor unit includes: a sensor matched with the sensor and a data transmission device, which is existing technology;

[0101] The operation process is as follows: each time the sensor passes by the sensor, it matches with the sensor and transmits information on whether the closed coil is open and the sensor number currently being sensed.

[0102] The beneficial effects of the above embodiments are as follows: by setting up the sensor unit and sensors, it is possible to monitor the inside of the belt and at the same time monitor the location of the accident, thereby improving monitoring efficiency.

[0103] In one embodiment, a fuel belt tear online monitoring and early warning system, including a control module, further includes:

[0104] The breakage warning unit acquires data from the sensor and generates a breakage warning message when it determines that the closed coil has broken. The breakage warning message includes the sensor number and corresponding marking information.

[0105] When the alarm unit generates a tear alarm, it acquires the data information transmitted by the sensor unit, extracts the sensor information with the smallest time difference between the acquisition time and the acquisition time of the alarm image, and determines the belt marking based on the sensor information.

[0106] An online monitoring and early warning system for fuel belt tearing also includes:

[0107] The audible and visual alarm will emit an audible and visual alarm when a tear alarm message is generated;

[0108] On the mobile device, the device receives and displays breakage warning information, tearing alarm information, and belt marking information obtained by the alarm unit, all sent by the control module.

[0109] In the above embodiments, by setting up sensors, the approximate location of the anomaly can be determined, and by using audible and visual alarms and mobile terminals, the efficiency of resolving belt conveyor accidents can be improved.

[0110] It should be noted that the above embodiments are merely illustrative examples of the division of functional modules. In practical applications, the functions described above can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are merely for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0111] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0112] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0113] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, enabling those skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, this invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A fuel conveyor belt tear online monitoring and early warning system, characterized in that, include: The belt has an inner layer that is a different color from the outer layer. The data acquisition module is capable of acquiring data from the belt; The acquisition module includes: an image acquisition unit and a light intensity acquisition unit; The control module analyzes and judges the data information from the acquisition module to monitor and warn of belt tears. The control module includes: a tear judgment unit, which uses the gradient histogram algorithm to obtain the gradient histogram of the belt based on the on-site video data acquired by the image acquisition unit, determines whether the belt has torn, and generates a tear alarm; an offset detection unit, which judges the offset of the belt based on the on-site video data acquired by the image acquisition unit, calculates the offset amount, and generates an offset warning when the offset amount exceeds a preset offset threshold; a region adjustment unit, which adjusts the judgment region of the tear judgment unit based on the offset amount calculated by the offset detection unit; and a light intensity adjustment unit, which acquires data information from the light intensity acquisition unit and adjusts the light intensity when the light intensity information exceeds a preset light intensity threshold range. The process of the tear judgment unit is as follows: acquiring on-site video data information acquired by the image acquisition unit; extracting graphic information within the judgment area and performing gamma correction on the image information; calculating the gradient map of the corrected graphic to obtain the X-direction gradient map, Y-direction gradient map, gradient magnitude map, and gradient direction map of the image; dividing the image into 8*8 pixel units, calculating the magnitude and direction of the gradient of each pixel in the pixel unit, setting 9 gradients, and forming a histogram with a length of 9 for the pixel unit; performing normalization calculation on the obtained histogram and merging the calculated feature vectors; visualizing the merged feature vectors to obtain the gradient histogram of the image, which is a black and white image; performing grayscale calculation on the image within the gradient histogram, and generating tear alarm information when the total grayscale value exceeds the preset grayscale range. The data acquisition auxiliary module includes a light intensity supplementation unit and a belt cleaning unit.

2. The online monitoring and early warning system for fuel conveyor belt tearing according to claim 1, characterized in that, The acquisition module includes: The image acquisition unit acquires video image data of the belt operation site. The acquired video data is a belt image of the on-site video frame, and transmits the video data information to the control module. The light intensity acquisition unit acquires the light intensity of the belt area acquired by the image acquisition unit and transmits the light intensity information to the control module.

3. The online monitoring and early warning system for fuel conveyor belt tearing according to claim 2, characterized in that, It also includes a data acquisition auxiliary module, including: The light intensity supplementation unit can supplement the light intensity of the belt area acquired by the image acquisition unit, and receive data information from the control module to adjust the supplementation intensity of the light intensity. The belt cleaning unit is positioned before the image acquisition unit acquires data, according to the belt's running direction, and is capable of cleaning the belt surface.

4. The online monitoring and early warning system for fuel conveyor belt tearing according to claim 3, characterized in that, The belt has a sensor with a closed coil mounted on it, the closed coil being arranged laterally; it also has a mark corresponding to the number of the sensor.

5. The online monitoring and early warning system for fuel conveyor belt tearing according to claim 4, characterized in that, The acquisition unit also includes: The sensor unit, capable of sensing the sensor, is located on one side of the image acquisition unit, receives data information sent by the sensor, and sends the data information to the control module; the data information of the sensor includes: whether the closed coil is open and the current sensor number information.

6. The online monitoring and early warning system for fuel conveyor belt tearing according to claim 5, characterized in that, The control module further includes: A breakage warning unit acquires data information from the sensor and generates breakage warning information when it determines that the closed coil has broken; wherein, the breakage warning information includes the sensor number and corresponding marking information; When the alarm unit generates a tear alarm, it acquires the data information transmitted by the sensor unit, extracts the sensor information with the smallest time difference from the acquisition time of the alarm image, and determines the mark of the belt based on the sensor information.

7. The online monitoring and early warning system for fuel conveyor belt tearing according to claim 6, characterized in that, Also includes: The audible and visual alarm will emit an audible and visual alarm when a tear alarm message is generated; The mobile device receives and displays the breakage warning information, the tear alarm information, and the belt marking information obtained by the alarm unit sent by the control module.

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