Anti-tear detection method for acoustic vibration temperature conveying belt

Abstract

The invention provides an acoustic vibration temperature conveying belt anti-tear detection method which is applied to conveying equipment, the conveying equipment comprises a conveying belt and an acoustic vibration temperature sensor, and the method comprises the steps that in the working process of the conveying equipment, sensor data are obtained through the acoustic vibration temperature sensor, the sensor data comprises sound data, vibration data and temperature data; detecting whether sound features are preset in the sound data; when the preset sound feature exists in the sound data, determining a target tearing risk level of the conveyor belt according to the sound data, the vibration data and the temperature data; and when the target tearing risk grade is higher than a preset tearing risk grade, it is determined that the conveying belt has a tearing risk, and early warning operation is carried out. By adopting the embodiment of the invention, the tearing detection can be quickly and accurately carried out on the conveying belt.

Description

Technical Field

[0001] The present application relates to the field of sensor technology, and in particular to a method for detecting tearing resistance of an acoustic vibration and temperature conveyor belt. Background Art

[0002] At present, conveyor belts are very important for mineral collection. Therefore, early detection of conveyor belt tears has become a key issue of concern. Take the current intelligent mining system as an example. Minerals and coal resources are often transported by conveyor belts. However, sometimes if tears occur during transportation, it will affect the transportation progress and even cause construction site accidents. Therefore, how to quickly and accurately detect conveyor belt tears needs to be solved urgently. Summary of the Invention

[0003] The embodiment of the present application provides an acoustic vibration and temperature conveyor belt tear prevention detection method, which can quickly and accurately detect tears in conveyor belts.

[0004] In a first aspect, an embodiment of the present application provides a method for detecting the tearing resistance of a conveyor belt using an acoustic vibration and temperature sensor, which is applied to a conveying device including a conveyor belt and an acoustic vibration and temperature sensor. The method includes:

[0005] During the operation of the conveying equipment, sensor data is obtained through the acoustic vibration temperature sensor, and the sensor data includes: sound data, vibration data and temperature data;

[0006] detecting whether a preset sound feature is included in the sound data;

[0007] When the preset sound feature exists in the sound data, determining a target tear risk level of the conveyor belt according to the sound data, the vibration data, and the temperature data;

[0008] When the target tearing risk level is higher than the preset tearing risk level, it is determined that there is a tearing risk for the conveyor belt, and an early warning operation is performed.

[0009] The implementation of the embodiments of this application has the following beneficial effects:

[0010] It can be seen that the acoustic vibration temperature conveying belt tear detection method described in the embodiment of the application is applied to a conveying device, the conveying device includes a conveying belt and an acoustic vibration temperature sensor, in the working process of the conveying device, sensor data is acquired through the acoustic vibration temperature sensor, the sensor data includes: sound data, vibration data and temperature data, whether a preset sound feature exists in the sound data is detected, when the preset sound feature exists in the sound data, a target tear risk level of the conveying belt is determined according to the sound data, the vibration data and the temperature data, when the target tear risk level is higher than a preset tear risk level, it is determined that the conveying belt has a tear risk, and a warning operation is performed, in this way, on the one hand, the sound feature can be used for preliminary tear detection, on the other hand, the sound, the vibration and the temperature can be used for accurate tear detection, and the conveying belt can be quickly and accurately detected for tear. BRIEF DESCRIPTION OF DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0012] Figure 1 is a flowchart of an acoustic vibration temperature conveying belt tear detection method provided by the embodiment of the present application;

[0013] Figure 2 is a structural schematic diagram of a conveying device provided by the embodiment of the present application;

[0014] Figure 3 is a functional unit composition block diagram of an acoustic vibration temperature conveying belt tear detection device provided by the embodiment of the present application. DETAILED DESCRIPTION

[0015] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish different objects, and are not used to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but in one possible example, it also includes steps or units not listed, or in one possible example, it also includes other steps or units inherent to the process, method, product or device.

[0016] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0017] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] In the embodiment of the present application, the acoustic vibration temperature sensor is an integrated sensor that can realize sound, vibration and temperature detection functions.

[0019] See also Figure 1 , Figure 1 This is a flow chart of a method for detecting the tearing resistance of a conveyor belt using an acoustic vibration and temperature sensor, as provided in an embodiment of the present application. As shown in the figure, the method is applied to a conveying device including a conveyor belt and an acoustic vibration and temperature sensor. The method includes:

[0020] 101. During operation of the conveying device, sensor data is acquired through the acoustic, vibration, and temperature sensor, where the sensor data includes sound data, vibration data, and temperature data.

[0021] In an embodiment of the present application, the conveying equipment includes a conveyor belt and an acoustic vibration temperature sensor.

[0022] The sound data may include at least one of the following: audio signal, pitch, timbre, loudness, frequency, etc., which are not limited here.

[0023] The vibration data may include at least one of the following: frequency, amplitude, wavelength, etc., which are not limited here.

[0024] In a specific implementation, during the operation of the conveying equipment, sensor data can be obtained at preset time intervals through the acoustic, vibration and temperature sensors. The sensor data includes: sound data, vibration data and temperature data. The preset time interval can be pre-set or system default.

[0025] 102. Detect whether a preset sound feature is included in the sound data.

[0026] The preset sound feature can include at least one of pitch, tone, loudness, frequency, etc., and can be pre-set or system default. The preset sound feature can be different in different environments.

[0027] In a specific implementation, whether the preset sound feature exists in the sound data can be detected, that is, the preset sound feature can be used to preliminarily identify whether tearing occurs, which is equivalent to rough identification, and is helpful to reduce equipment loss and prevent tearing misidentification.

[0028] 103. When the preset sound feature exists in the sound data, determining a target tearing risk level of the conveyor belt according to the sound data, the vibration data, and the temperature data.

[0029] In the embodiment of the application, when the preset sound feature exists in the sound data, it means that there is a possibility of tearing of the conveyor belt. Therefore, the target tearing risk level of the conveyor belt can be determined according to the sound data, the vibration data, and the temperature data, so as to finely prevent tearing detection and help to ensure the safety of the conveying equipment.

[0030] 104. When the target tearing risk level is higher than a preset tearing risk level, it is determined that the conveyor belt has a tearing risk, and a warning operation is performed.

[0031] The preset tearing risk level can be pre-set or system default, and can be determined according to the use of the conveyor belt. For example, the longer the use time is, the lower the preset tearing risk level is, and vice versa, the shorter the use time is, the higher the preset tearing risk level is.

[0032] Optionally, the step 103 of determining the target tearing risk level of the conveyor belt according to the sound data, the vibration data, and the temperature data can include the following steps:

[0033] Filtering the sound data to obtain part of sound data of a target tearing related type;

[0034] Comparing the part of sound data with preset tearing sound data to obtain a target similarity value;

[0035] Determining a first tearing risk evaluation value corresponding to the target similarity value;

[0036] Sampling the vibration data to obtain a plurality of vibration sample data, each vibration sample data corresponding to a time point;

[0037] Fitting the plurality of vibration sample data to obtain a vibration straight line and a vibration curve;

[0038] obtaining a target slope of the vibration straight line, and obtaining extreme points of the vibration curve to obtain a plurality of extreme points;

[0039] determining a target mean square error corresponding to the plurality of extreme points, and obtaining a maximum value point in the plurality of extreme points to obtain at least one maximum value point, determining a target mean value corresponding to the at least one maximum value point, and obtaining a target mean value;

[0040] determining a reference tear risk evaluation value corresponding to the target mean value;

[0041] adjusting the reference tear risk evaluation value according to the target slope and the target mean square error to obtain a second tear risk evaluation value;

[0042] determining a weight pair corresponding to the temperature data, the weight pair including a first weight and a second weight;

[0043] performing weighted operation according to the weight pair, the first tear risk evaluation value and the second tear risk evaluation value to obtain a target tear risk evaluation value;

[0044] determining the target tear risk grade corresponding to the target tear risk evaluation value.

[0045] In the embodiments of the present application, since the sound data not only includes the sound data of the conveyor belt of the conveying device, but also includes other environmental sound data, the sound data can be filtered to obtain part of the sound data of the target tear-related type. The target tear-related type can be pre-set or system default. The target tear-related type can be related to the conveying object of the conveyor belt, or can be related to the working material type of the conveyor belt.

[0046] Furthermore, the part of the sound data can be compared with the preset tear sound data to obtain a target similarity value. The preset tear sound data can be pre-set or system default. If tearing occurs, tearing sound will occur, so the part of the sound data can be compared with the tear-related sound data. The mapping relationship between the preset similarity value and the tear risk evaluation value can also be pre-stored, and then the first tear risk evaluation value corresponding to the target similarity value can be determined based on the mapping relationship.

[0047] In addition, the vibration data can also be sampled to obtain a plurality of vibration sample data, each vibration sample data corresponding to a time point, and then the plurality of vibration sample data can be fitted to obtain a vibration straight line and a vibration curve, that is, the plurality of vibration sample data is mapped to a coordinate system, the horizontal axis of the coordinate system is time, and the vertical axis is vibration sample data. The target slope of the vibration straight line can be obtained, and the slope reflects the tearing trend. The extreme points of the vibration curve are obtained, a plurality of extreme points are obtained, and the extreme points reflect the tearing degree. Then, the target mean square error corresponding to the plurality of extreme points can be determined, and the maximum value point in the plurality of extreme points is obtained to obtain at least one maximum value point. The mean value corresponding to the at least one maximum value point is determined to obtain a target mean value, and the mean value reflects the amplitude change of the tearing. The mapping relationship between the preset mean value and the tearing risk evaluation value can be stored in advance, and then the reference tearing risk evaluation value corresponding to the target mean value can be determined based on the mapping relationship. The reference tearing risk evaluation value can be adjusted according to the target slope and the target mean square error to obtain a second tearing risk evaluation value, and then the tearing condition can be analyzed based on the vibration condition.

[0048] Further, the temperature reflects the weight of the two dimensions of sound and vibration, and then the weight pair corresponding to the temperature data can be determined based on the temperature condition, the weight pair including a first weight and a second weight, the first weight + the second weight = 1. The weight pair, the first tearing risk evaluation value, and the second tearing risk evaluation value are subjected to weighted operation to obtain a target tearing risk evaluation value, that is, the target tearing risk evaluation value = the first weight * the first tearing risk evaluation value + the second weight * the second tearing risk evaluation value. The mapping relationship between the preset tearing risk evaluation value and the tearing risk level can also be stored in advance, and then the target tearing risk level corresponding to the target tearing risk evaluation value can be determined based on the mapping relationship.

[0049] In this way, first, the sound data can be filtered, and the tearing risk evaluation value of the filtered sound data can be determined. Second, the vibration data is sampled to generate corresponding vibration straight line and vibration curve, and the slope of the vibration straight line and the extreme points of the vibration curve are used to evaluate the tearing risk evaluation value. Third, the weights of the tearing risk evaluation values of the two dimensions are adjusted by the temperature, which is helpful to accurately evaluate the tearing risk condition and improve the safety of the conveying equipment.

[0050] Optionally, the step of adjusting the reference tearing risk evaluation value according to the target slope and the target mean square error to obtain a second tearing risk evaluation value can include the following steps:

[0051] determining a target adjustment parameter corresponding to the target slope;

[0052] adjust the reference tear risk evaluation value according to the target adjustment parameter, to obtain a third tear risk evaluation value;

[0053] determine a target fine adjustment parameter corresponding to the target mean square error;

[0054] fine adjust the third tear risk evaluation value according to the target fine adjustment parameter, to obtain the second tear risk evaluation value

[0055] In the embodiments of the present application, a mapping relationship between a preset slope and an adjustment parameter can be pre-stored, that is, a target adjustment parameter corresponding to a target slope can be determined based on the mapping relationship, the value range of the adjustment parameter can be-0.15-0.15, that is, the reference tear risk evaluation value can be adjusted according to the target adjustment parameter, to obtain a third tear risk evaluation value, and the third tear risk evaluation value=(1+target adjustment parameter)*reference tear risk evaluation value. A mapping relationship between a mean square error and a fine adjustment parameter can also be pre-stored, the value range of the fine adjustment parameter can be-0.05-0.05, and then a target fine adjustment parameter corresponding to a target mean square error can be determined based on the mapping relationship, that is, the third tear risk evaluation value can be fine adjusted according to the target fine adjustment parameter, to obtain a second tear risk evaluation value, that is, the second tear risk evaluation value=(1+target fine adjustment parameter)*third tear risk evaluation value. In this way, the slope reflects the trend of tearing, and the mean square error reflects the fluctuation range of tearing, which helps to accurately assess the impact of vibration on tearing and helps to achieve accurate anti-tear detection.

[0056] Optionally, the step of determining the weight pair corresponding to the temperature data can include the following steps:

[0057] Obtain the conveying object and the load condition of the conveying device;

[0058] Determine a weight pair set corresponding to the conveying object, the weight pair set corresponding to a plurality of weight pairs, and each weight pair corresponding to a temperature;

[0059] Determine a reference weight pair corresponding to the temperature data in the weight pair set;

[0060] Determine an influence factor corresponding to the load condition;

[0061] Adjust the reference weight pair according to the influence factor to obtain the weight pair corresponding to the temperature data.

[0062] In the embodiments of the present application, the conveying object and the load condition of the conveying device can be obtained, the conveying object being what the conveying device transmits, and the conveying object can include at least one of the following: coal mine, copper mine, etc., without limitation, and the load condition can be understood as the load per unit area of the conveying belt.

[0063] In specific implementation, a set of weight value pairs of the conveying object can be pre-stored, the set of weight value pairs corresponds to a plurality of weight value pairs, each weight value pair corresponds to a temperature, a reference weight value pair corresponding to the temperature data in the set of weight value pairs is further determined, an influence factor corresponding to the weight condition can be further determined, a preset mapping relationship between the weight and the influence factor can be pre-stored, the corresponding influence factor can be determined based on the mapping relationship, the influence factor can adjust the first weight or the second weight, the adjustment range of the influence factor can not affect other weight value pairs, the reference weight value pair can be adjusted according to the influence factor to obtain the weight value pair corresponding to the temperature data, in this way, the tearing risk evaluation value of the conveying belt in the two dimensions of sound and vibration can be dynamically adjusted according to the conveying object and the weight condition of the conveying device, and then the tearing risk evaluation value evaluation process is deeply consistent with the actual application scene, which is helpful to realize accurate tearing risk evaluation and improve the precision of tearing detection.

[0064] Optionally, the method further includes the following steps:

[0065] When the target tearing risk level is less than or equal to the preset tearing risk level, detecting a duration of the preset sound feature;

[0066] When the duration is greater than a preset duration, sending an abnormal prompt information to a manager;

[0067] When the duration is less than or equal to the preset duration, resuming normal operation.

[0068] The preset duration can be pre-set or system default. In specific implementation, when the target tearing risk level is less than or equal to the preset tearing risk level, it means that there is a possibility of tearing misidentification, and then detection can be performed again to determine whether it is really misidentified, that is, the duration of the preset sound feature is detected, when the duration is greater than the preset duration, an abnormal prompt information is sent to a manager for manual detection to ensure safety, and when the duration is less than or equal to the preset duration, normal operation is resumed, which means that tearing misidentification is eliminated and normal operation is ensured.

[0069] It can be seen that the acoustic vibration temperature conveying belt tear detection method described in the embodiment of the application is applied to a conveying device, the conveying device includes a conveying belt and an acoustic vibration temperature sensor, in the working process of the conveying device, sensor data is acquired through the acoustic vibration temperature sensor, the sensor data includes: sound data, vibration data and temperature data, whether a preset sound feature exists in the sound data is detected, when the preset sound feature exists in the sound data, a target tear risk level of the conveying belt is determined according to the sound data, the vibration data and the temperature data, when the target tear risk level is higher than a preset tear risk level, it is determined that the conveying belt has a tear risk, and a warning operation is performed, in this way, on the one hand, the sound feature can be used for preliminary tear prevention detection, on the other hand, the sound, vibration and temperature can be used for accurate tear prevention detection, and the conveying belt can be quickly and accurately detected for tear.

[0070] Consistent with the above embodiment, please refer to Figure 2 , Figure 2 is a structural schematic diagram of a conveying device provided by the embodiment of the application, as shown in the figure, the conveying device includes a processor, a memory, a communication interface and one or more programs, wherein the above one or more programs are stored in the above memory and are configured to be executed by the above processor, in the embodiment of the application, the conveying device includes a conveying belt and an acoustic vibration temperature sensor, the program includes instructions for executing the following steps:

[0071] In the working process of the conveying device, sensor data is acquired through the acoustic vibration temperature sensor, the sensor data includes: sound data, vibration data and temperature data;

[0072] Whether a preset sound feature exists in the sound data is detected;

[0073] When the preset sound feature exists in the sound data, a target tear risk level of the conveying belt is determined according to the sound data, the vibration data and the temperature data;

[0074] When the target tear risk level is higher than a preset tear risk level, it is determined that the conveying belt has a tear risk, and a warning operation is performed.

[0075] Optionally, in the aspect of determining the target tear risk level of the conveying belt according to the sound data, the vibration data and the temperature data, the program includes instructions for executing the following steps:

[0076] The sound data is filtered to obtain part of the sound data of a target tear related type;

[0077] The part of the sound data is compared with preset tear sound data to obtain a target similarity value;

[0078] determine a first tear risk evaluation value corresponding to the target similarity value;

[0079] sample the vibration data to obtain a plurality of vibration sample data, each vibration sample data corresponding to a time point;

[0080] fit the plurality of vibration sample data to obtain a vibration straight line and a vibration curve;

[0081] obtain a target slope of the vibration straight line, and obtain extreme points of the vibration curve to obtain a plurality of extreme points;

[0082] determine a target mean square error corresponding to the plurality of extreme points, and obtain a maximum point in the plurality of extreme points to obtain at least one maximum point, determine a mean value corresponding to the at least one maximum point to obtain a target mean value;

[0083] determine a reference tear risk evaluation value corresponding to the target mean value;

[0084] adjust the reference tear risk evaluation value according to the target slope and the target mean square error to obtain a second tear risk evaluation value;

[0085] determine a weight pair corresponding to the temperature data, the weight pair including a first weight and a second weight;

[0086] perform weighted operation on the weight pair, the first tear risk evaluation value, and the second tear risk evaluation value to obtain a target tear risk evaluation value;

[0087] determine the target tear risk grade corresponding to the target tear risk evaluation value.

[0088] Optionally, in the aspect of adjusting the reference tear risk evaluation value according to the target slope and the target mean square error to obtain a second tear risk evaluation value, the above program includes instructions for performing the following steps:

[0089] determine a target adjustment parameter corresponding to the target slope;

[0090] adjust the reference tear risk evaluation value according to the target adjustment parameter to obtain a third tear risk evaluation value;

[0091] determine a target fine adjustment parameter corresponding to the target mean square error;

[0092] fine adjust the third tear risk evaluation value according to the target fine adjustment parameter to obtain the second tear risk evaluation value

[0093] Optionally, in the aspect of determining the weight pair corresponding to the temperature data, the above program includes instructions for performing the following steps:

[0094] Obtaining the conveying object and load condition of the conveying equipment;

[0095] Determine a weight pair set corresponding to the transport object, wherein the weight pair set corresponds to a plurality of weight pairs, and each weight pair corresponds to a temperature;

[0096] determining a reference weight pair in the weight pair set corresponding to the temperature data;

[0097] determining an impact factor corresponding to the load condition;

[0098] The reference weight pair is adjusted according to the influencing factor to obtain a weight pair corresponding to the temperature data.

[0099] Optionally, the program further includes instructions for executing the following steps:

[0100] When the target tearing risk level is less than or equal to the preset tearing risk level, detecting a duration of the preset sound feature;

[0101] When the duration is longer than the preset duration, an abnormal prompt message is sent to the administrator;

[0102] When the duration is less than or equal to the preset duration, the process returns to normal.

[0103] It can be seen that the conveying equipment described in the embodiment of the present application includes a conveyor belt and an acoustic vibration and temperature sensor. During the operation of the conveying equipment, sensor data is obtained through the acoustic vibration and temperature sensor. The sensor data includes: sound data, vibration data and temperature data. It is detected whether there is a preset sound feature in the sound data. When the preset sound feature exists in the sound data, the target tearing risk level of the conveyor belt is determined according to the sound data, vibration data and temperature data. When the target tearing risk level is higher than the preset tearing risk level, it is determined that there is a tearing risk in the conveyor belt, and an early warning operation is performed. In this way, on the one hand, the sound feature can be used for preliminary anti-tear detection. On the other hand, accurate anti-tear detection can be achieved based on sound, vibration and temperature, and the conveyor belt can be quickly and accurately detected to be tearing.

[0104] Figure 3 This is a functional unit block diagram of the acoustic vibration and temperature conveyor belt tear prevention detection device 300 involved in the embodiment of the present application. The acoustic vibration and temperature conveyor belt tear prevention detection device 300 is applied to a conveying device, and the conveying device includes a conveyor belt and an acoustic vibration and temperature sensor. The acoustic vibration and temperature conveyor belt tear prevention detection device 300 includes: an acquisition unit 301, a detection unit 302 and a determination unit 303, wherein,

[0105] The acquisition unit 301 is configured to acquire sensor data by the acoustic vibration temperature sensor during operation of the conveying device, the sensor data including sound data, vibration data and temperature data.

[0106] The detection unit 302 is configured to detect whether a preset sound feature exists in the sound data.

[0107] The determination unit 303 is configured to determine a target tearing risk level of the conveying belt according to the sound data, the vibration data and the temperature data when the preset sound feature exists in the sound data.

[0108] The determination unit 303 is further configured to determine that the conveying belt has a tearing risk and perform a warning operation when the target tearing risk level is higher than a preset tearing risk level.

[0109] Optionally, in the determination of the target tearing risk level of the conveying belt according to the sound data, the vibration data and the temperature data, the method comprises:

[0110] filtering the sound data to obtain part of sound data of a target tearing related type;

[0111] comparing the part of sound data with preset tearing sound data to obtain a target similarity value;

[0112] determining a first tearing risk evaluation value corresponding to the target similarity value;

[0113] sampling the vibration data to obtain a plurality of vibration sample data, each vibration sample data corresponding to a time point;

[0114] fitting the plurality of vibration sample data to obtain a vibration straight line and a vibration curve;

[0115] obtaining a target slope of the vibration straight line and an extreme point of the vibration curve to obtain a plurality of extreme points;

[0116] determining a target mean square error corresponding to the plurality of extreme points, and obtaining a maximum value point in the plurality of extreme points to obtain at least one maximum value point, determining a target mean value corresponding to the at least one maximum value point;

[0117] determining a reference tearing risk evaluation value corresponding to the target mean value;

[0118] adjusting the reference tearing risk evaluation value according to the target slope and the target mean square error to obtain a second tearing risk evaluation value;

[0119] determining a weight pair corresponding to the temperature data, the weight pair including a first weight and a second weight;

[0120] performing a weighted operation on the weight pair, the first tear risk evaluation value and the second tear risk evaluation value to obtain a target tear risk evaluation value;

[0121] determining the target tear risk grade corresponding to the target tear risk evaluation value.

[0122] Optionally, in the aspect of adjusting the reference tear risk evaluation value according to the target slope and the target mean square error to obtain a second tear risk evaluation value, the method comprises:

[0123] determining a target adjustment parameter corresponding to the target slope;

[0124] adjusting the reference tear risk evaluation value according to the target adjustment parameter to obtain a third tear risk evaluation value;

[0125] determining a target fine adjustment parameter corresponding to the target mean square error;

[0126] fine adjusting the third tear risk evaluation value according to the target fine adjustment parameter to obtain the second tear risk evaluation value.

[0127] Optionally, in the aspect of determining the weight pair corresponding to the temperature data, the method comprises:

[0128] obtaining a conveying object and a load condition of the conveying device;

[0129] determining a weight pair set corresponding to the conveying object, the weight pair set corresponding to a plurality of weight pairs, each weight pair corresponding to a temperature;

[0130] determining a reference weight pair in the weight pair set corresponding to the temperature data;

[0131] determining an influence factor corresponding to the load condition;

[0132] adjusting the reference weight pair according to the influence factor to obtain the weight pair corresponding to the temperature data.

[0133] Optionally, the acoustic vibration temperature conveying belt tear detection device 300 is further specifically used for:

[0134] when the target tear risk grade is less than or equal to the preset tear risk grade, detecting a duration of the preset sound feature;

[0135] when the duration is greater than a preset duration, sending an abnormal prompt information to a manager;

[0136] when the duration is less than or equal to the preset duration, resuming normal.

[0137] It can be seen that the acoustic vibration temperature conveying belt tear detection device described in the embodiment of the present application is applied to a conveying device, the conveying device includes a conveying belt and an acoustic vibration temperature sensor, sensor data is acquired by the acoustic vibration temperature sensor during the working process of the conveying device, the sensor data includes: sound data, vibration data and temperature data, whether a preset sound feature exists in the sound data is detected, when the preset sound feature exists in the sound data, a target tear risk level of the conveying belt is determined according to the sound data, the vibration data and the temperature data, when the target tear risk level is higher than a preset tear risk level, it is determined that the conveying belt has a tear risk, and a warning operation is performed, in this way, on the one hand, the sound feature can be used for preliminary tear detection, on the other hand, the sound, the vibration and the temperature can be used for accurate tear detection, and the conveying belt can be quickly and accurately detected for tear.

[0138] It can be understood that the functions of the program modules of the acoustic vibration temperature conveying belt tear detection device of the embodiment can be specifically implemented according to the methods in the above method embodiments, and the specific implementation process can be referred to the related description of the above method embodiments, which will not be described here.

[0139] The embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causes a computer to execute part or all steps of any method described in the above method embodiments, and the above computer includes a conveying device.

[0140] The embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute part or all steps of any method described in the above method embodiments. The computer program product can be a software installation package, and the above computer includes a conveying device.

[0141] It should be noted that, for each of the above method embodiments, in order to simply describe, each is described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other order or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily necessary for the present application.

[0142] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0143] In several embodiments provided in the present application, it should be understood that the disclosed apparatus can be implemented in other manners. For example, the division of the apparatus embodiments described above is merely illustrative, and the division of the units can be changed according to actual needs. For example, the units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0144] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0145] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0146] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable memory. Based on this understanding, the technical solutions of the present application essentially or the part of the prior art that contributes to the technical solutions or all or part of the technical solutions can be embodied in the form of a software product, which is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the above-mentioned method of each embodiment of the present application. The aforementioned memory includes: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0147] Those of ordinary skill in the art can understand that all or part of the steps of the various methods in the above embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer readable memory, which can include a flash disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0148] The above has introduced the embodiments of the present application in detail, and the principles and implementation manners of the present application are described by applying specific examples. The above embodiment description is only used for helping understanding the method of the present application and its core idea; meanwhile, for the general technical personnel in the art, according to the idea of the present application, the specific implementation manner and application range will have changes, and the above is not understood as the limitation of the present application.

Claims

1. A method for detecting the tearing resistance of a conveyor belt by using acoustic vibration and temperature, characterized in that: The method is applied to a conveying device including a conveying belt and an acoustic vibration temperature sensor, and comprises the following steps: During operation of the conveying device, sensor data is acquired by the acoustic vibration temperature sensor, the sensor data including sound data, vibration data and temperature data; It is detected whether a preset sound feature exists in the sound data; When the preset sound feature exists in the sound data, a target tearing risk level of the conveying belt is determined according to the sound data, the vibration data and the temperature data; When the target tearing risk level is higher than a preset tearing risk level, it is determined that the conveying belt has a tearing risk, and a warning operation is performed.

2. The method of claim 1, wherein, The target tearing risk level of the conveying belt is determined according to the sound data, the vibration data and the temperature data, and comprises the following steps: The sound data is filtered to obtain part of sound data of a target tearing related type; The part of sound data is compared with preset tearing sound data to obtain a target similarity value; A first tearing risk evaluation value corresponding to the target similarity value is determined; The vibration data is sampled to obtain a plurality of vibration sample data, each vibration sample data corresponding to a time point; The plurality of vibration sample data is fitted to obtain a vibration straight line and a vibration curve; A target slope of the vibration straight line is acquired, and extreme points of the vibration curve are acquired to obtain a plurality of extreme points; A target mean square error corresponding to the plurality of extreme points is determined, and a maximum value point in the plurality of extreme points is acquired to obtain at least one maximum value point, a mean value corresponding to the at least one maximum value point is determined to obtain a target mean value; A reference tearing risk evaluation value corresponding to the target mean value is determined; The reference tearing risk evaluation value is adjusted according to the target slope and the target mean square error to obtain a second tearing risk evaluation value; A weight pair corresponding to the temperature data is determined, the weight pair including a first weight and a second weight; A target tearing risk evaluation value is obtained by weighted operation according to the weight pair, the first tearing risk evaluation value and the second tearing risk evaluation value; The target tearing risk level corresponding to the target tearing risk evaluation value is determined.

3. The method of claim 2, wherein, The reference tearing risk evaluation value is adjusted according to the target slope and the target mean square error to obtain a second tearing risk evaluation value, and comprises the following steps: A target adjustment parameter corresponding to the target slope is determined; The reference tearing risk evaluation value is adjusted according to the target adjustment parameter to obtain a third tearing risk evaluation value; A target fine adjustment parameter corresponding to the target mean square error is determined; The third tearing risk evaluation value is fine adjusted according to the target fine adjustment parameter to obtain the second tearing risk evaluation value.

4. The method according to claim 2 or 3, characterized in that, The weight pair corresponding to the temperature data is determined, and comprises the following steps: A conveying object and a weight condition of the conveying device are acquired; A weight pair set corresponding to the conveying object is determined, the weight pair set corresponding to a plurality of weight pairs, each weight pair corresponding to a temperature; A reference weight pair corresponding to the temperature data in the weight pair set is determined; An influence factor corresponding to the weight condition is determined; Adjust the reference weight pair according to the influence factor, to obtain a weight pair corresponding to the temperature data.

5. The method according to any one of claims 1 to 3, characterized in that, The method further comprises: When the target tearing risk level is less than or equal to the preset tearing risk level, detecting a duration of the preset sound feature; When the duration is greater than a preset duration, sending an abnormal prompt information to a manager; When the duration is less than or equal to the preset duration, resuming normal.

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