A device and method for real-time online detection of conveyor belt thickness

Abstract

The present invention relates to a thickness detection technology for industrial and mining conveyor belts, and specifically to a device and method for real-time online detection of conveyor belt thickness. A device for real-time online detection of conveyor belt thickness comprises a rectangular frame, a sliding guide rail, a distance sensor group, a calibration block group, a lateral position sensor, an adjustment mechanism, a processing circuit, an initial marking signal, a speed sensor, a communication module, and a computer; wherein the distance sensor group is located on the sliding guide rails on the upper and lower sides of the conveyor belt; the sliding guide rails are installed on the upper and lower sides of the rectangular frame, located on the upper and lower sides of the conveyor belt, and the distance sensor group can slide left and right thereon; the adjustment mechanism is installed between the rectangular frame and the sliding guide rail; the calibration block group is located on both sides of the conveyor belt; the conveyor belt gives an initial marking signal after running one circle; the processing circuit connects the distance sensor, the speed sensor, and the initial marking signal; and the communication module connects the processing circuit and the computer. The present invention is suitable for thickness detection of industrial and mining conveyor belts.

Description

Technical Field

[0001] The invention relates to a detection technology for the thickness of an industrial and mining conveyor belt, and in particular to a device and a detection method for real-time online detection of the thickness of a conveyor belt. Background Art

[0002] With the economic development of coal, electricity, metallurgy, building materials, port transportation and other industries, conveyor belts are being used more and more widely. The life of conveyor belts is particularly important. The thickness of the rubber layer of the conveyor belt directly determines the service life of the conveyor belt. Detecting the thickness change of the conveyor belt is of great significance for the reasonable allocation of materials and use, predicting the service life of the conveyor belt, and making preparations for the replacement of the conveyor belt in advance.

[0003] At present, the detection of conveyor belt thickness is still mainly at the stage of manual measurement, which is not only inefficient and time-consuming, but also has poor accuracy, cumbersome statistical measurement results, and poor practicality. The method of using X-rays to detect thickness has the problem that the conveyor belt is not a single material. The conveyor belt contains not only rubber but also wire ropes, canvas, nylon, etc., and the material ratio of each conveyor belt is different. In addition, there are also problems such as aging of X-ray tubes and uncertainty of X-ray input energy over time. All of the above may cause inaccurate measurements, and also involve safety issues of X-ray radiation. Based on this, it is necessary to invent an efficient and fast detection technology to solve the above problems in the current detection of conveyor belt thickness. Summary of the invention

[0004] In order to solve the problems of low efficiency, long time consumption, poor accuracy, cumbersome statistical measurement results and poor practicality in manual measurement of conveyor belt thickness, the present invention provides a device and a detection method for real-time online detection of conveyor belt thickness.

[0005] The present invention is implemented by adopting the following technical scheme: a device and a detection method for real-time online detection of the thickness of a conveyor belt, the device comprising a frame, a distance sensor group, a processing circuit, a speed sensor, a communication module, and a computer; the distance sensor group comprises two upper and lower distance sensors, the upper and lower distance sensors are respectively arranged on the upper and lower sides of the frame, and the upper and lower distance sensors are directly opposite, the input end of the processing circuit is connected to the distance sensor and the speed sensor; the communication module is connected to the output end of the processing circuit and the computer;

[0006] The device detection method is implemented by the following steps:

[0007] a. The conveyor belt passes through the frame. During the operation of the conveyor belt, the upper and lower distance sensors measure the distances L1 and L2 from the upper and lower surfaces of the conveyor belt in real time, and the speed sensor measures the speed signal of the conveyor belt in real time;

[0008] b. The signals measured by the upper and lower distance sensors and speed sensors are transmitted to the computer by the processing circuit through the communication module;

[0009] c. The computer can calculate the conveyor belt thickness T=D- L2 - L1 based on the distances L1, L2 and the distance D between the upper and lower distance measuring sensors; at the same time, the computer can calculate the longitudinal position information from the previous measuring point based on the speed sensor signal.

[0010] The above-mentioned device and method for real-time online detection of conveyor belt thickness also include two upper and lower sliding rails. The frame is a rectangular frame. The upper and lower sliding rails are respectively fixed on the upper and lower sides of the rectangular frame. The upper and lower ranging sensors are respectively arranged on the upper and lower sliding rails. The ranging sensor group can slide left and right on the sliding rails to realize the detection of the thickness of the conveyor belt at different positions.

[0011] The above-mentioned device and method for real-time online detection of conveyor belt thickness also include two upper and lower lateral position sensors, which are respectively fixed at one end of the upper and lower sliding guide rails, and the lateral position sensors are connected to the processing circuit; the lateral position sensor can output the position information of the ranging sensor group in the lateral direction.

[0012] The above-mentioned device and method for real-time online detection of conveyor belt thickness also include a calibration block group, the calibration block group includes two identical calibration thickness blocks, and the two calibration thickness blocks are respectively fixed on the left and right vertical frames of the rectangular frame; before measurement, the distance measuring sensor group measures the distance between the left and right calibration thickness blocks in turn, and if the sum of the distances measured by the upper and lower distance measuring sensors and the left calibration thickness block is equal to the sum of the distances measured by the upper and lower distance measuring sensors and the right calibration thickness block, the upper and lower sliding guide rails are parallel, so whether the sliding guide rails are parallel can be verified by the detected distance.

[0013] The above-mentioned device for real-time online detection of the thickness of the conveyor belt also includes an adjustment mechanism, which is installed between the rectangular frame and the sliding guide rail and distributed on the four corners of the rectangular frame. The adjustment mechanism includes a lifting adjustment screw rod, which is equipped with an upper locking nut and a lower locking nut. The bottom of the lifting adjustment screw rod is fixed on the rectangular frame. Bolt holes are provided at both ends of the sliding guide rail and are respectively sleeved on the lifting adjustment screw rods on the left and right sides, and are locked by the upper locking nut and the lower locking nut. The height of the left and right sides of the sliding guide rail can be adjusted by the upper and lower locking nuts so that the two ends of the sliding guide rail are level.

[0014] In the above-mentioned device for real-time online detection of conveyor belt thickness, the method for calibrating the linear coefficient K of the distance measuring sensor is as follows: replace the calibration thickness sample block on the vertical frame with three calibration thickness sample blocks arranged side by side, the three calibration thickness sample blocks arranged side by side are respectively the first calibration thickness sample block, the second calibration thickness sample block and the third calibration thickness sample block, wherein the thickness of the first calibration thickness sample block and the second calibration thickness sample block are the same, the third calibration thickness sample block is thicker than the first calibration thickness sample block by M, the first calibration thickness sample block and the second calibration thickness sample block are staggered in the vertical position, firstly measure the first calibration thickness sample block, record the AD values ​​of the upper and lower distance measuring sensors as Xa1 and Xb1 respectively; then measure the second calibration thickness sample block, record the AD values ​​of the upper and lower distance measuring sensors as Xa2 and Xb2 respectively; measure the third calibration thickness sample block again, record the AD values ​​of the upper and lower distance measuring sensors as Xa3 and Xb3 respectively; the linear coefficient of the upper distance measuring sensor is Ka, the linear coefficient of the lower distance measuring sensor is Kb, then Ka= M(Xb2-Xb1) / [(Xb2-Xb1)(Xa2-Xa3)+(Xb2-Xb3)(Xa1-Xa2)]; Kb=M(Xa1-Xa2) / [(Xb2-Xb1)(Xa2-Xa3)+(Xb2-Xb3)(Xa1-Xa2)].

[0015] The above-mentioned device and method for real-time online detection of conveyor belt thickness have multiple groups of distance measuring sensor groups arranged on the sliding guide rail, which can measure the thickness of multiple positions of the conveyor belt at the same time.

[0016] In the above-mentioned device and method for real-time online detection of conveyor belt thickness, the driving mode of the distance measuring sensor moving on the sliding guide rail is not limited to motor drive but also includes manual drive. The moving mode of the distance measuring sensor not only includes moving to a set position and then stopping, and then moving to the next position point for measurement after completing one circle of collection; it also includes left and right uniform speed reciprocating motion.

[0017] In the above-mentioned device and method for real-time online detection of conveyor belt thickness, the processing circuit is also input with an initial marking signal, whereby the conveyor belt runs from the initial position to the initial position as one circle of thickness data measurement is completed, and the thickness values ​​marked with lateral position information and longitudinal position information are statistically analyzed to obtain the thickness information of the entire conveyor belt; the conveyor belt thickness information is compared with each other on a daily, monthly and annual basis to obtain the conveyor belt thickness wear trend; when the thickness wear reaches the set threshold, an alarm is issued to remind the user.

[0018] The above-mentioned device and method for real-time online detection of conveyor belt thickness are measured in the following two modes. The first mode is: the distance sensor moves along the sliding guide rail to a preset lateral position. When the initial marking signal appears, the conveyor belt thickness value begins to be measured. The processing circuit simultaneously packages the lateral position information provided by the lateral position sensor, the longitudinal position information provided by the speed sensor and the thickness information of the point, and transmits them to the computer through the communication module. When the initial position information appears again, the collection of the thickness value of a circle of the conveyor belt at the lateral position is completed, and the distance sensor group moves to the next position point; until the full circle information of all lateral position points is collected;

[0019] The second mode is: when the initial marking signal appears, the conveyor belt thickness value is measured, and the distance sensor moves back and forth continuously from left to right at a constant speed on the sliding guide rail. The processing circuit packages the lateral position information provided by the lateral position sensor, the longitudinal position information provided by the speed sensor and the thickness information of the point together and transmits them to the computer through the communication module. When the initial marking signal appears again, the thickness value of one circle of the conveyor belt is collected.

[0020] Compared with the existing thickness gauge, the rectangular closed frame adopted by the present invention reduces the influence of the deadweight of the cantilever structure on the deformation of the cantilever, thereby affecting the distance between the ranging sensors, compared with the C or U-shaped cantilever frame; in addition, the calibration blocks on both sides can be calibrated before each measurement to ensure that the mechanical structure is not affected by the external environment and the sensor is not affected by the environment; the measurement accuracy is higher and the practicability is stronger.

[0021] Compared with the existing technology for detecting the thickness of conveyor belts, the device and method for real-time online detection of the thickness of conveyor belts described in the present invention achieve a breakthrough from manual measurement to automatic collection by sensors and statistical analysis of computer big data; the present invention greatly improves the work efficiency, and reduces the original thickness measurement of a conveyor belt from an average of 10 days to a few hours; the present invention also brings good economic benefits, and changes the original manual measurement that required the conveyor belt to be stopped to real-time online measurement. During the detection process, the conveyor belt does not need to be stopped, which improves the transportation efficiency of the conveyor belt and reduces economic losses.

[0022] The present invention can detect in real time online, and in principle eliminates the interference caused by jitter. The verification system eliminates the interference of external factors on the system, and measures the thickness of the conveyor belt efficiently, in real time and accurately. It effectively solves the problems of low efficiency, slow timeliness and serious impact on the operation efficiency of the conveyor belt in the existing manual detection of the thickness of the conveyor belt, and is suitable for the thickness detection of industrial and mining conveyor belts. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a structural schematic diagram of a device for real-time online detection of conveyor belt thickness of the present invention.

[0024] Figure 2 The single-point measurement principle diagram of a device for real-time online detection of conveyor belt thickness of the present invention.

[0025] Figure 3 It is a measurement principle diagram of a device for real-time online detection of conveyor belt thickness of the present invention.

[0026] Figure 4 It is the schematic diagram of MCU acquisition circuit and main control circuit.

[0027] Figure 5 This is the schematic diagram of the CAN to USB communication circuit.

[0028] Figure 6 It is the schematic diagram of the power supply circuit.

[0029] Figure 7 It is a schematic diagram of the adjustment mechanism structure.

[0030] Figure 8 Schematic diagram for calibrating the linear coefficient K of the ranging sensor.

[0031] In the figure: 1-rectangular frame, 2-sliding guide rail, 3-distance measuring sensor, 4-calibration thickness sample block, 5-lateral position sensor, 6-adjustment mechanism, 7-processing circuit, 8-initial marking signal, 9-speed sensor, 10-communication module, 11-computer, 12-Nth point thickness information, 13-initial position, 61-lifting adjustment screw, 62-upper locking nut and, 63-lower locking nut. DETAILED DESCRIPTION

[0032] A device for real-time online detection of conveyor belt thickness comprises a rectangular frame 1, a sliding guide rail 2, a distance sensor 3, a calibration thickness sample block 4, a lateral position sensor 5, an adjustment mechanism 6, a processing circuit 7, an initial marking signal 8, a speed sensor 9, a communication module 10, and a computer 11; the distance sensor 3 is a laser displacement sensor, an ultrasonic displacement sensor, or an infrared displacement sensor.

[0033] Among them, the rectangular frame 1 can be fixed on the conveyor belt transmission route through the bracket, and the conveyor belt passes through the middle position of the rectangular frame 1. The left side frame is detachable for the conveyor belt to pass through during installation and disassembly; after the conveyor belt passes through, it is closed to form a rectangular bracket; the sliding guide rail 2 is installed on the upper and lower surfaces of the rectangular frame 1; the distance sensor 3 is installed on the sliding guide rail, and the distance sensor 3 can move left and right on the sliding guide rail; the calibration thickness sample block 4 is installed in the center of the frame on both sides of the rectangular bracket; the speed sensor 9 obtains the running speed of the conveyor belt; the conveyor belt gives an initial mark signal 8 after running a circle; the processing circuit 7 packages the distance sensor group signal, the speed sensor signal, and whether it is the initial position signal through the single chip microcomputer and transmits it to the computer 11 through the communication module 10, and the computer 11 performs statistical analysis and alarm. The initial mark signal 8 can be obtained by setting an initial mark on the conveyor belt, or by conveyor belt image recognition.

[0034] The relationship between the thickness value T of the conveyor belt, the distance D between the upper and lower distance measuring sensors, the distance L1 between the upper sensor and the upper surface of the conveyor belt, and the distance L2 between the lower distance measuring sensor and the lower surface of the conveyor belt is L1+L2+T=D. Figure 2 The thickness of the single-point conveyor belt can be calculated through the above relationship, and the distance value D between the distance measuring sensors can also be calculated based on the calibration thickness sample block 4. The sum of the distance between the upper sensor and the calibration thickness sample block, the distance between the lower sensor and the calibration thickness sample block, and the thickness of the calibration thickness sample block is the distance value D between the distance measuring sensors.

[0035] Before measurement, the distance measuring sensor group 3 passes through the calibration thickness sample blocks 4 on both sides in turn to check whether the sliding guide rails are parallel.

[0036] Adjustment mechanism 6 Figure 7 As shown, the adjustment mechanism is installed between the rectangular frame 1 and the sliding guide rail 2, and is distributed on the four corners of the rectangular frame 1. The adjustment mechanism 6 includes a lifting adjustment screw 61, and the lifting adjustment screw 61 is equipped with an upper locking nut 62 and a lower locking nut 63. The bottom of the lifting adjustment screw 61 is fixed on the rectangular frame 1, and bolt holes are set at both end portions of the sliding guide rail and are sleeved on the lifting adjustment screw 61, and are locked by the upper locking nut 62 and the lower locking nut 63.

[0037] After entering the measurement mode, the distance sensor 3 moves along the sliding guide rail 2 to a preset lateral position. When the initial marking signal 8 appears, the conveyor belt thickness value is measured. The processing circuit 7 simultaneously packages the lateral position information provided by the lateral position sensor 5, the longitudinal position information provided by the speed sensor 9 and the thickness value of the point, and transmits them to the computer 11 through the communication module 10. When the initial position information appears again, the thickness value of a circle of the conveyor belt at the lateral position is collected, and the distance sensor group moves to the next position point; until the full circle information of all lateral position points is collected.

[0038] There is another mode in which when the initial marking signal 8 appears, the conveyor belt thickness value is measured. The distance sensor 3 moves back and forth continuously from left to right at a constant speed on the sliding guide rail 2. The processing circuit 7 packages the lateral position information provided by the lateral position sensor, the longitudinal position information provided by the speed sensor and the thickness value of the point together and transmits them to the computer through the communication module. When the initial marking signal 8 appears again, the thickness value of one circle of the conveyor belt is collected.

[0039] After the data collection is completed, the computer 11 performs statistical analysis on the conveyor belt thickness information based on the transverse position information and the longitudinal position information, and reflects the conveyor belt thickness from a single transverse and longitudinal conveyor belt thickness profile, a thickness profile of the average thickness of a certain section of the conveyor belt, a thickness profile of the average thickness of a certain part of the conveyor belt, and the thickness distribution of the entire conveyor belt.

[0040] After each measurement of the entire conveyor belt, all data is stored in the database. From the time dimension, the daily, monthly and annual thickness changes of the conveyor belt are analyzed to predict the trend of the conveyor belt and the service life of the conveyor belt, so as to prepare for the replacement of the conveyor belt in advance.

[0041] The processing circuit 7 is mainly an MCU acquisition circuit and a main control circuit. The communication module 10 adopts a CAN to USB communication circuit. There is also a power supply circuit to supply power to the processing circuit 7 and the communication module 10.

[0042] MCU acquisition circuit and main control circuit such as Figure 4 As shown, it includes a single chip microcomputer of model STM32F103C8T6 and its peripheral circuits. The signals of the upper and lower ranging sensors pass through S1 and S2 in the figure, and enter the MCU through resistors R2 and R3 respectively. The internal program of the MCU converts the electrical signal input by the ranging sensor into an AD value. The AD value is filtered by the single chip microcomputer. After calculation and processing, the data is converted into a CAN signal through a PCA82C251 communication circuit and transmitted to the CAN to USB communication circuit.

[0043] CAN to USB communication circuit Figure 5As shown, it includes a chip U2 of model PCA82C251 and its peripheral circuits. The CAN signal is transmitted to the CAN to USB communication circuit via CANH and CANL, and then transmitted to the computer via the communication circuit.

[0044] Power supply circuit such as Figure 6 As shown, after the 12V main power supply enters the power supply circuit, it provides different levels of power to each part.

[0045] Method for calibrating the coefficient of the distance measuring sensor: The distance measuring sensor may have different linear output coefficients due to factory settings, product temperature drift coefficients, etc. The present invention adopts the following method for calibration.

[0046] The basic principle of the distance measuring sensor is: L=KX+B, --L is the measured distance; --K is the linear coefficient; --B is the linear constant; --X is the converted AD value.

[0047] The calibration method is: replace the calibration thickness block on the vertical frame with three calibration thickness blocks arranged side by side, the three calibration thickness blocks arranged side by side are respectively the first calibration thickness block, the second calibration thickness block and the third calibration thickness block, wherein the thicknesses of the first calibration thickness block and the second calibration thickness block are the same, the third calibration thickness block is thicker than the first calibration thickness block by M, the first calibration thickness block and the second calibration thickness block are staggered in the vertical position, firstly measure the first calibration thickness block, and record the AD values ​​of the upper and lower distance measuring sensors as Xa1 (upper sensor) and Xb1 (lower sensor), respectively; then measure the second calibration thickness block, and record the AD values ​​of the upper and lower distance measuring sensors as Xa2 (upper sensor) and Xb2 (lower sensor), respectively; measure the third calibration thickness block again, and record the AD values ​​of the upper and lower sensors as Xa3 (upper sensor) and Xb3 (lower sensor), respectively.

[0048] The linear coefficient of the upper sensor is Ka, and the linear coefficient of the lower sensor is Kb, then

[0049] Ka= M(Xb2-Xb1) / [(Xb2-Xb1)(Xa2-Xa3)+(Xb2-Xb3)(Xa1-Xa2)];

[0050] Kb=M(Xa1-Xa2) / [(Xb2-Xb1)(Xa2-Xa3)+(Xb2-Xb3)(Xa1-Xa2)].

Claims

1. A real-time online detection method for conveyor belt thickness, Features: The device based on the detection method comprises a frame, a distance sensor group, a processing circuit (7), a speed sensor (9), a communication module (10), and a computer (11); the distance sensor group comprises two upper and lower distance sensors (3), the upper and lower distance sensors (3) are respectively arranged on the upper and lower sides of the frame, and the upper and lower distance sensors are directly opposite, the input end of the processing circuit (7) is connected to the distance sensor (3) and the speed sensor (9); the communication module (10) is connected to the output end of the processing circuit (7) and the computer (11); it also comprises two upper and lower sliding guide rails (2), the frame is a rectangular frame (1), the upper and lower sliding guide rails (2) are respectively fixed on the upper and lower sides of the rectangular frame (1), and the upper and lower distance sensors (3) are respectively slidably arranged on the upper and lower sliding guide rails (2); it also comprises a calibration block group, the calibration block group comprises two identical calibration thickness sample blocks (4), and the two calibration thickness sample blocks (4) are respectively fixed on the left and right vertical frames of the rectangular frame (1); The detection method is implemented by the following steps: a. The conveyor belt passes through the frame. During the operation of the conveyor belt, the upper and lower distance sensors (3) measure the distances L1 and L2 from the upper and lower surfaces of the conveyor belt in real time, and the speed sensor (9) measures the conveyor belt speed signal in real time; b. The signals measured by the upper and lower distance sensors (3) and the speed sensor (9) are transmitted to the computer (11) by the processing circuit (7) through the communication module (10); c. The computer (11) can calculate the conveyor belt thickness T = D- L2 - L1 according to the distances L1, L2 and the distance D between the upper and lower distance measuring sensors; at the same time, the longitudinal position information from the previous measuring point is calculated according to the speed sensor signal; The method for calibrating the linear coefficient K of the distance measuring sensor is as follows: replace the calibration thickness sample block on the vertical frame with three calibration thickness sample blocks arranged side by side, the three calibration thickness sample blocks arranged side by side are respectively the first calibration thickness sample block, the second calibration thickness sample block and the third calibration thickness sample block, wherein the thickness of the first calibration thickness sample block and the second calibration thickness sample block are the same, the third calibration thickness sample block is thicker than the first calibration thickness sample block by M, the first calibration thickness sample block and the second calibration thickness sample block are staggered in the vertical position, firstly measure the first calibration thickness sample block, record the AD values ​​of the upper and lower distance measuring sensors as Xa1 and Xb1 respectively; then measure the second calibration thickness sample block, record the AD values ​​of the upper and lower distance measuring sensors as Xa2 and Xb2 respectively; measure the third calibration thickness sample block again, record the AD values ​​of the upper and lower distance measuring sensors as Xa3 and Xb3 respectively; the linear coefficient of the upper distance measuring sensor is Ka, the linear coefficient of the lower distance measuring sensor is Kb, then Ka= M(Xb2-Xb1) / [(Xb2-Xb1)(Xa2-Xa3)+(Xb2-Xb3)(Xa1-Xa2)]; Kb=M(Xa1-Xa2) / [(Xb2-Xb1)(Xa2-Xa3)+(Xb2-Xb3)(Xa1-Xa2)].

2. A method for detecting the thickness of a conveyor belt in real time online according to claim 1, Features: It also includes two upper and lower lateral position sensors (5), which are respectively fixed to one end of the upper and lower sliding guide rails (2), and are connected to the processing circuit (7).

3. A method for detecting the thickness of a conveyor belt in real time online according to claim 1 or 2, Features: The invention also comprises an adjustment mechanism (6), which is installed between the rectangular frame (1) and the sliding guide rail and is distributed on the four corners of the rectangular frame (1). The adjustment mechanism (6) comprises a lifting adjustment screw rod (61), and the lifting adjustment screw rod (61) is equipped with an upper locking nut (62) and a lower locking nut (63). The bottom of the lifting adjustment screw rod (61) is fixed on the rectangular frame (1). Bolt holes are arranged at both ends of the sliding guide rail and are sleeved on the lifting adjustment screw rod (61) and locked by the upper locking nut (62) and the lower locking nut (63).

4. A method for detecting the thickness of a conveyor belt in real time online according to claim 2, Features: A plurality of distance measuring sensor groups are arranged on the sliding guide rail (2).

5. A method for real-time online detection of conveyor belt thickness according to claim 1 or 2, Features: The distance measuring sensor (3) is driven by a motor or manually to move on the sliding guide rail (2). The movement mode of the distance measuring sensor (3) is to move to a set position and then remain stationary, and then move to the next position point for measurement after completing one circle of collection; or to move back and forth at a constant speed left and right.

6. A method for detecting the thickness of a conveyor belt in real time online according to claim 2, Features: The processing circuit (7) is also input with an initial marking signal (8), whereby the conveyor belt runs from the initial position to the initial position as one circle of thickness data measurement, and statistical analysis is performed on the thickness values ​​marked with the transverse position information and the longitudinal position information to obtain the thickness information of the entire conveyor belt; the thickness information of the conveyor belt is compared with each other on a daily, monthly, and annual basis to obtain the thickness wear trend of the conveyor belt; when the thickness wear reaches a set threshold, an alarm is issued to remind the user.

7. A method for detecting the thickness of a conveyor belt in real time online according to claim 6, Features: The measurement is carried out in the following two modes. The first mode is: the distance sensor (3) moves along the sliding guide rail (2) to a preset lateral position. When the initial marking signal (8) appears, the thickness value of the conveyor belt starts to be measured. The processing circuit (7) simultaneously packages the lateral position information provided by the lateral position sensor (5), the longitudinal position information provided by the speed sensor (9) and the thickness information of the point and transmits them to the computer (11) through the communication module (10). When the initial position information appears again, the collection of the thickness value of a circle of the conveyor belt at the lateral position is completed, and the distance sensor group moves to the next position point until the full circle information of all lateral position points is collected. The second mode is: when the initial marking signal (8) appears, the conveyor belt thickness value is measured, the distance sensor (3) moves back and forth continuously from left to right at a constant speed on the sliding guide rail (2), and the processing circuit (7) packages the lateral position information provided by the lateral position sensor, the longitudinal position information provided by the speed sensor and the thickness information of the point together and transmits them to the computer (11) through the communication module (10). When the initial marking signal (8) appears again, the collection of the thickness value of one circle of the conveyor belt is completed.

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