Thickness wear monitoring method for steel wire rope core flame-retardant conveying belt for coal mine and related device

Abstract

The invention provides a coal mine steel wire rope core flame-retardant conveying belt thickness wear monitoring method and a related device, the method is applied to a conveyor, and the method comprises the steps that thickness data of each thickness monitoring point in a plurality of thickness monitoring points in a preset time period is acquired, a plurality of thickness data sets are obtained, each thickness data set comprises a plurality of pieces of thickness data, and the thickness data of each thickness data set is acquired; each thickness data set corresponds to one monitoring moment; fitting is carried out according to the multiple thickness data sets and the corresponding monitoring moments, multiple fitting straight lines are obtained, and each thickness data set corresponds to one fitting straight line; acquiring the slope of each fitting straight line in the plurality of fitting straight lines to obtain a plurality of slopes; determining thickness wear degree values of the corresponding thickness monitoring points according to the plurality of slopes to obtain a plurality of thickness wear degree values; selecting a thickness wear degree value greater than a preset threshold value from the plurality of thickness wear degree values to obtain at least one target thickness wear degree value; and performing alarm operation according to the at least one target thickness wear degree value.

Description

Technical Field

[0001] The present application relates to the field of sensor technology or computer technology, and in particular to a thickness wear monitoring method and related device for a steel cord flame-retardant conveyor belt for coal mines. Background Art

[0002] In practical applications, conveyors play an important role in coal mine mineral collection. Usually, conveyors include flame-retardant steel wire rope core conveyor belts for coal mines. The safety of the conveyor belts directly determines the safety of the conveyor belts. The safety monitoring of the conveyor belts has also become a top priority in coal mine operations. Therefore, how to accurately monitor the thickness and wear of flame-retardant steel wire rope core conveyor belts for coal mines to ensure safety needs to be solved urgently. Summary of the invention

[0003] The embodiment of the present application provides a thickness wear monitoring method and related device for a flame-retardant steel wire rope conveyor belt for coal mines, which can accurately monitor the thickness wear of a flame-retardant steel wire rope conveyor belt for coal mines to ensure safety.

[0004] In a first aspect, an embodiment of the present application provides a method for monitoring thickness wear of a steel cord flame-retardant conveyor belt for a coal mine, which is applied to a conveyor, wherein the conveyor includes a steel cord flame-retardant conveyor belt, and the steel cord flame-retardant conveyor belt includes a plurality of thickness monitoring points, each thickness monitoring point corresponds to a thickness monitoring device, and the method includes:

[0005] Acquire thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period to obtain a plurality of thickness data sets, each thickness data set including a plurality of thickness data, and each thickness data set corresponding to a monitoring moment;

[0006] Perform fitting according to the plurality of thickness data sets and corresponding monitoring moments to obtain a plurality of fitting straight lines, wherein each thickness data set corresponds to a fitting straight line;

[0007] Obtaining the slope of each of the plurality of fitted straight lines to obtain a plurality of slopes;

[0008] Determine thickness wear degree values ​​of corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values;

[0009] Selecting a thickness wear degree value greater than a preset threshold value from the plurality of thickness wear degree values ​​to obtain at least one target thickness wear degree value;

[0010] An alarm operation is performed according to the at least one target thickness wear degree value.

[0011] In a second aspect, an embodiment of the present application provides a thickness wear monitoring device for a steel cord flame retardant conveyor belt for a coal mine, which is applied to a conveyor, wherein the conveyor includes a steel cord flame retardant conveyor belt, and the steel cord flame retardant conveyor belt includes a plurality of thickness monitoring points, each thickness monitoring point corresponds to a thickness monitoring device, and the device includes: an acquisition unit, a fitting unit, a determination unit, a selection unit, and an alarm unit, wherein:

[0012] The acquisition unit is used to acquire the thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period to obtain a plurality of thickness data sets, each thickness data set includes a plurality of thickness data, and each thickness data set corresponds to a monitoring moment;

[0013] The fitting unit is used to perform fitting according to the multiple thickness data sets and the corresponding monitoring moments to obtain multiple fitting straight lines, where each thickness data set corresponds to a fitting straight line;

[0014] The acquisition unit is further used to acquire the slope of each of the plurality of fitted straight lines to obtain a plurality of slopes;

[0015] The determination unit is used to determine the thickness wear degree values ​​of the corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values;

[0016] The selection unit is used to select a thickness wear degree value greater than a preset threshold value from the multiple thickness wear degree values ​​to obtain at least one target thickness wear degree value;

[0017] The alarm unit is used to perform an alarm operation according to the at least one target thickness wear degree value.

[0018] In a third aspect, an embodiment of the present application provides a conveyor, comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.

[0019] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiment of the present application.

[0020] In a fifth aspect, an embodiment of the present application provides a computer program product, wherein 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 some or all of the steps described in the first aspect of the embodiment of the present application. The computer program product may be a software installation package.

[0021] The implementation of the embodiments of the present application has the following beneficial effects:

[0022] It can be seen that the thickness wear monitoring method and related devices for the steel wire rope core flame retardant conveyor belt for coal mines described in the embodiments of the present application are applied to a conveyor, and the conveyor includes a steel wire rope core flame retardant conveyor belt, and the steel wire rope core flame retardant conveyor belt includes multiple thickness monitoring points, and each thickness monitoring point corresponds to a thickness monitoring device. The thickness data of each thickness monitoring point in the multiple thickness monitoring points within a preset time period is obtained to obtain multiple thickness data sets, and each thickness data set includes multiple thickness data, and each thickness data set corresponds to a monitoring time. Fitting is performed based on the multiple thickness data sets and the corresponding monitoring times to obtain multiple fitting straight lines, and each thickness data set corresponds to a fitting straight line. The slope of each fitting straight line in the multiple fitting straight lines is obtained to obtain multiple slopes, and the thickness is determined based on the multiple slopes. The thickness wear degree value of the corresponding thickness monitoring point is obtained to obtain multiple thickness wear degree values, and the thickness wear degree value greater than the preset threshold value is selected from the multiple thickness wear degree values ​​to obtain at least one target thickness wear degree value, and an alarm operation is performed according to the at least one target thickness wear degree value. The slope of the fitting straight line reflects the thickness wear trend of the steel wire rope core flame retardant conveyor belt and the thickness wear speed of the steel wire rope core flame retardant conveyor belt. Furthermore, the wear data with abnormal thickness wear can be selected for alarm operation. That is, in order to ensure the safety of the conveyor belt, an alarm operation can be performed based on the thickness wear degree value corresponding to the abnormal thickness wear, thereby ensuring the working safety of the conveyor. In this way, accurate monitoring of the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mines can be achieved to ensure safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 It is a flow chart of a method for monitoring thickness wear of a flame-retardant conveyor belt with a steel cord core for coal mines provided in an embodiment of the present application;

[0025] Figure 2It is a structural schematic diagram of a conveyor provided in an embodiment of the present application;

[0026] Figure 3 It is a functional unit composition block diagram of a thickness wear monitoring device for a steel wire rope core flame-retardant conveyor belt for coal mines provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but in a possible example also includes steps or units that are not listed, or in a possible example also includes other steps or units inherent to these processes, methods, products or devices.

[0028] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

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

[0030] In the embodiment of the present application, the steel cord conveyor belt can be a flame-retardant steel cord conveyor belt for coal mines. Since the flame-retardant steel cord conveyor belt for coal mines is used in coal mine operation scenes, it can be called a flame-retardant steel cord conveyor belt for coal mines. Specifically, the steel cord conveyor belt can be a conveyor belt made of rubber covered with a steel cord liner, and the flame-retardant steel cord conveyor belt can be used as a traction and carrying component of a belt conveyor.

[0031] See also Figure 1 , Figure 1The present invention provides a flow chart of a method for monitoring thickness wear of a flame-retardant steel wire core conveyor belt for coal mines. As shown in the figure, the method is applied to a conveyor, wherein the conveyor comprises a flame-retardant steel wire core conveyor belt, and the flame-retardant steel wire core conveyor belt comprises a plurality of thickness monitoring points, and each thickness monitoring point corresponds to a thickness monitoring device. The method for monitoring thickness wear of a flame-retardant steel wire core conveyor belt for coal mines comprises the following steps:

[0032] 101. Obtain thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period to obtain a plurality of thickness data sets, each thickness data set including a plurality of thickness data, and each thickness data set corresponding to a monitoring moment.

[0033] In the embodiment of the present application, the preset time period can be pre-set or system default.

[0034] In a specific implementation, the conveyor may include a steel wire core flame retardant conveyor belt, and the steel wire core flame retardant conveyor belt may include multiple thickness monitoring points, each thickness monitoring point corresponds to a thickness monitoring device, and the thickness monitoring device can measure the thickness of the steel wire core flame retardant conveyor belt at the thickness monitoring point at a preset time interval, and the preset time interval can be preset or the system defaults. The multiple thickness monitoring points can be located in a designated area of ​​the steel wire core flame retardant conveyor belt or can also be multiple positions on the steel wire core flame retardant conveyor belt. The designated area can be preset or the system defaults. For example, the designated area can be an area in the steel wire core flame retardant conveyor belt that is easily worn, or a repair area in the steel wire core flame retardant conveyor belt.

[0035] In a specific implementation, the thickness data of each thickness monitoring point among multiple thickness monitoring points within a preset time period can be obtained to obtain multiple thickness data sets. Each thickness data set may include multiple thickness data. Each thickness data set corresponds to a monitoring moment, that is, each thickness monitoring point can collect thickness data at every preset time interval, thereby obtaining the thickness data set of the thickness monitoring point.

[0036] 102. Perform fitting according to the multiple thickness data sets and corresponding monitoring moments to obtain multiple fitting straight lines, where each thickness data set corresponds to a fitting straight line.

[0037] In an embodiment of the present application, each thickness data set and the corresponding monitoring moment can be regarded as multiple coordinate points, and each thickness data corresponds to a coordinate point, that is, the thickness data set can be mapped to a coordinate system, the horizontal axis of the coordinate system is time, and the vertical axis is the thickness value. In this way, multiple coordinate points can be fitted to obtain a fitting straight line, and the slope of the fitting straight line reflects the thickness wear trend of the steel wire rope core flame retardant conveyor belt and the thickness wear rate of the steel wire rope core flame retardant conveyor belt. Based on this method, fitting can be performed according to multiple thickness data sets and corresponding monitoring moments to obtain multiple fitting straight lines, and each thickness data set corresponds to a fitting straight line.

[0038] 103. Obtain the slope of each of the plurality of fitted straight lines to obtain a plurality of slopes.

[0039] In an embodiment of the present application, the slope of each of the multiple fitting straight lines can be obtained to obtain multiple slopes. The slopes of the fitting straight lines reflect the thickness wear trend and thickness wear rate of the steel wire rope core flame retardant conveyor belt.

[0040] 104. Determine thickness wear degree values ​​of corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values.

[0041] In an embodiment of the present application, different slopes reflect the degree of thickness wear to a certain extent. Therefore, a mapping relationship between a preset slope and a thickness wear degree value can be pre-stored. Then, based on the mapping relationship, the thickness wear degree value of a thickness monitoring point corresponding to each slope among multiple slopes can be determined to obtain multiple thickness wear degree values.

[0042] Optionally, the above step 104, determining the thickness wear degree values ​​of the corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values, may include the following steps:

[0043] Determine a reference thickness wear degree value corresponding to a first slope, where the first slope is any slope among the multiple slopes;

[0044] Acquire a first operating temperature of a thickness monitoring point corresponding to the first slope;

[0045] Acquire a first ambient temperature of a thickness monitoring point corresponding to the first slope;

[0046] determining a target temperature difference between the first operating temperature and the first ambient temperature;

[0047] determining a first influence coefficient corresponding to the target temperature difference;

[0048] The reference thickness wear degree value is calibrated according to the first influence coefficient to obtain the thickness wear degree value corresponding to the first slope.

[0049] In a specific implementation, different slopes reflect the degree of thickness wear to a certain extent. Furthermore, a mapping relationship between a preset slope and a thickness wear degree value can be pre-stored. Taking the first slope as an example, the first slope is any slope among multiple slopes. The reference thickness wear degree value corresponding to the first slope can be determined based on the mapping relationship.

[0050] Next, the first working temperature of the thickness monitoring point corresponding to the first slope can be obtained, the first ambient temperature of the thickness monitoring point corresponding to the first slope can be obtained, and the target temperature difference between the first working temperature and the first ambient temperature can be determined, that is, the target temperature difference = the first working temperature - the first ambient temperature. The mapping relationship between the preset temperature difference and the influence coefficient can also be pre-stored, and the value range of the influence coefficient is 0 to 0.1. Then, the first influence coefficient corresponding to the target temperature difference can be determined based on the mapping relationship, taking into account the thermal expansion and contraction properties of the object. Then, under the influence of the thermal expansion and contraction properties, wear monitoring will have a certain error, therefore, The influence corresponding to the thermal expansion and contraction property can be determined, and the thickness wear degree value can be calibrated based on the influence, that is, the reference thickness wear degree value is calibrated according to the first influence coefficient to obtain the thickness wear degree value corresponding to the first slope, that is, the thickness wear degree value corresponding to the first slope = (1-first influence coefficient) * reference thickness wear degree value. In this way, the thermal expansion and contraction property of the object can be considered, and the thickness wear degree can be dynamically calibrated based on the influence of the thermal expansion and contraction property of the object, so that the final thickness wear degree depth conforms to the actual environment, that is, the accurate monitoring of the thickness wear of the steel wire rope core flame-retardant conveyor belt for coal mines can be realized, thereby ensuring the safety of the conveyor.

[0051] 105. Select a thickness wear degree value greater than a preset threshold value from the multiple thickness wear degree values ​​to obtain at least one target thickness wear degree value.

[0052] The preset threshold value may be preset or set by system default.

[0053] In a specific implementation, a thickness wear value greater than a preset threshold value can be selected from multiple thickness wear values ​​to obtain at least one target thickness wear value, wherein a thickness wear value greater than the preset threshold value indicates abnormal thickness wear. In order to ensure the safety of the conveyor belt, an alarm operation can be performed based on the thickness wear value corresponding to the abnormal thickness wear, thereby ensuring the working safety of the conveyor.

[0054] 106. Perform an alarm operation according to the at least one target thickness wear degree value.

[0055] In the embodiment of the present application, the mapping relationship between the preset thickness wear degree value and the alarm parameter can be pre-stored, and the alarm parameter can include at least one of the following: sending a text message to the user, sending a voice to the user, a vibration reminder, sounding an alarm, suspending the operation, a display screen alarm, a telephone alarm, etc., which are not limited here. In a specific implementation, the average thickness wear degree value corresponding to at least one target thickness wear degree value can be determined, and the alarm parameter corresponding to the average thickness wear degree value can be determined based on the mapping relationship between the preset thickness wear degree value and the alarm parameter stored in advance, and an alarm operation is performed based on the alarm parameter, thereby realizing accurate monitoring of the thickness wear of the flame-retardant conveyor belt with a steel cord core for coal mines to ensure safety.

[0056] Optionally, the above step 106, performing an alarm operation according to the at least one target thickness wear degree value, may include the following steps:

[0057] Determining a target mean and a target mean square error of the at least one target thickness wear degree value;

[0058] Obtaining a target operating temperature of the steel cord core flame retardant conveyor belt;

[0059] determining a target surface pressure of the steel cord flame retardant conveyor belt;

[0060] Obtaining target operating parameters of the conveyor;

[0061] determining a reference thickness wear degree threshold value corresponding to the target surface pressure;

[0062] Determining a target adjustment parameter corresponding to the target operating temperature;

[0063] Determining a target fine-tuning parameter corresponding to the target operating parameter;

[0064] The reference thickness wear degree threshold is adjusted according to the target adjustment parameter and the target fine-tuning parameter to obtain a target thickness wear degree threshold;

[0065] When the target mean value is greater than the target thickness wear degree threshold value, determining a first difference between the target mean value and the target thickness wear degree threshold value;

[0066] Determine a first alarm parameter corresponding to the first difference, and perform an alarm operation according to the first alarm parameter;

[0067] When the target mean value is less than or equal to the target thickness wear degree threshold, detecting whether the target mean square deviation is greater than a preset mean square deviation;

[0068] When the target mean square error is greater than the preset mean square error, determining a second difference between the target mean square error and the preset mean square error;

[0069] determining a second alarm parameter corresponding to the second difference, and performing an alarm operation according to the second alarm parameter;

[0070] When the target mean square deviation is less than or equal to the preset mean square deviation, it is determined that the wear of the steel cord core flame retardant conveyor belt is normal.

[0071] In a specific implementation, a target mean and a target mean square error of at least one target thickness wear value can be determined. To a certain extent, considering the thermal expansion and contraction properties of an object, the target operating temperature of the steel cord flame retardant conveyor belt can be obtained. Of course, wear will also be affected by the surface force of the steel cord flame retardant conveyor belt to a certain extent. The greater the force, the greater the wear, and the smaller the force, the smaller the wear. Therefore, the target surface pressure of the steel cord flame retardant conveyor belt can also be determined.

[0072] The target operating parameters may include at least one of the following: operating mode, operating current, operating voltage, operating power, conveying speed of the steel wire core flame retardant conveyor belt, etc., which are not limited here.

[0073] In a specific implementation, the target working parameters of the conveyor can also be obtained, and the mapping relationship between the preset surface pressure and the thickness wear degree threshold can be pre-stored. Then, the reference thickness wear degree threshold corresponding to the target surface pressure can be determined based on the mapping relationship. The greater the force, the greater the degree of wear, and the smaller the force, the smaller the degree of wear.

[0074] Of course, the mapping relationship between the preset working temperature and the adjustment parameter can also be pre-stored, and then the target adjustment parameter corresponding to the target working temperature can be determined based on the mapping relationship, and the mapping relationship between the preset working parameter and the fine-tuning parameter can be pre-stored, and then the target fine-tuning parameter corresponding to the target working parameter can be determined based on the mapping relationship, and then the reference thickness wear degree threshold is adjusted according to the target adjustment parameter and the target fine-tuning parameter to obtain the target thickness wear degree threshold. Specifically, the target thickness wear degree threshold=(1+target adjustment parameter)*(1+target fine-tuning parameter)*reference thickness wear degree threshold, that is, in actual applications, one, Based on the surface pressure, the corresponding reference thickness wear degree threshold is preliminarily determined. Secondly, the influence of the working temperature of the steel wire rope core flame retardant conveyor belt is considered, which is also the main influence. The reference thickness wear degree threshold is dynamically adjusted to make the adjusted thickness wear degree threshold more in line with the working environment of the steel wire rope core flame retardant conveyor belt. Thirdly, considering the working condition of the conveyor, which is also a secondary influence, the thickness wear degree threshold is further adjusted to make the adjusted thickness wear degree threshold depth consistent with the working condition of the conveyor. Furthermore, it can ensure the accurate monitoring of the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mines, improve the accuracy of the alarm operation, so as to ensure the safety and operating efficiency of the conveyor.

[0075] Among them, the first alarm parameter may include at least one of the following: sending a text message to the user, sending a voice to the user, a vibration reminder, sounding an alarm, pausing the operation, a display screen alarm, a telephone alarm, etc., which are not limited here.

[0076] Next, when the target mean is greater than the target thickness wear degree threshold, it means that the thickness wear of the steel wire rope core flame retardant conveyor belt is abnormal, and the first difference between the target mean and the target thickness wear degree threshold can be determined, that is, the first difference = target mean - target thickness wear degree threshold, that is, the first mapping relationship between the preset difference and the alarm parameter can be pre-stored, and then, the first alarm parameter corresponding to the first difference can be determined based on the first mapping relationship, and then the alarm operation can be performed according to the first alarm parameter. In this way, it can ensure the accurate monitoring of the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mines, improve the accuracy of the alarm operation, so as to ensure the safety and operating efficiency of the conveyor.

[0077] The preset mean square error can be preset or set by the system. The second alarm parameter can include at least one of the following: sending a text message to the user, sending a voice to the user, vibrating reminder, sounding an alarm, pausing operation, display screen alarm, telephone alarm, etc., which are not limited here.

[0078] Of course, when the target mean is less than or equal to the target thickness wear threshold, it is possible to detect whether the target mean square deviation is greater than the preset mean square deviation. When the target mean square deviation is greater than the preset mean square deviation, it means that the wear degree of the steel wire rope core flame retardant conveyor belt is quite different. In order to ensure the working stability of the steel wire rope core flame retardant conveyor belt, the second difference between the target mean square deviation and the preset mean square deviation can be determined, that is, the second difference = target mean square deviation - preset mean square deviation, that is, the second mapping relationship between the preset difference and the alarm parameter can be pre-stored, and then, the second alarm parameter corresponding to the second difference can be determined based on the second mapping relationship, and then the alarm operation is performed according to the second alarm parameter. In this way, the alarm operation is performed in combination with the wear degree differentiation of the steel wire rope core flame retardant conveyor belt and the working stability of the steel wire rope core flame retardant conveyor belt, further ensuring the accurate monitoring of the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mines, and improving the accuracy of the alarm operation, so as to ensure the safety and operating efficiency of the conveyor.

[0079] Of course, when the target mean square deviation is less than or equal to the preset mean square deviation, it means that the wear degree of the steel cord core flame retardant conveyor belt is less differentiated, and it is determined that the wear of the steel cord core flame retardant conveyor belt is normal, and there is no need to perform an alarm operation, thereby effectively ensuring the working efficiency of the conveyor and the safety of the steel cord core flame retardant conveyor belt.

[0080] Optionally, the following steps may also be included:

[0081] Obtaining a historical thickness wear value of the steel cord flame-retardant conveyor belt, and obtaining a plurality of historical thickness wear values, each of which corresponds to a recording time;

[0082] Fitting is performed according to the multiple thickness wear degree values ​​and the corresponding recording times to obtain a fitting curve segment and a target fitting straight line, wherein the starting time of the fitting curve segment is the minimum recording time and the ending time is the maximum recording time;

[0083] Determine the maximum and minimum values ​​of the fitting curve segment to obtain multiple maximum and multiple minimum values;

[0084] Determine the time length between adjacent maximum values ​​and minimum values ​​to obtain multiple time lengths;

[0085] Determine a first mean square error corresponding to the multiple time lengths;

[0086] Determine a second mean square error corresponding to the plurality of maximum values ​​and the plurality of minimum values;

[0087] Determining a target slope corresponding to the target fitted straight line;

[0088] Determine a target weight pair corresponding to the target slope, the target weight pair comprising a target first weight and a target second weight;

[0089] The preset mean square error is determined according to the target first weight, the target second weight, the first mean square error, and the second mean square error.

[0090] In an embodiment of the present application, the historical thickness wear value of the steel rope core flame-retardant conveyor belt can be obtained, and multiple historical thickness wear values ​​can be obtained, each historical thickness wear value corresponds to a recording time, and then, fitting can be performed according to the multiple thickness wear values ​​and the corresponding recording times to obtain a fitting curve segment and a target fitting straight line. The starting time of the fitting curve segment is the minimum recording time and the ending time is the maximum recording time, that is, each historical thickness wear value and its corresponding recording time can be mapped to a coordinate point, which is regarded as a coordinate point in the coordinate system. The horizontal axis of the coordinate system is time and the vertical axis is the historical thickness wear value. Furthermore, based on this method, multiple coordinate points can be obtained, and fitting them can obtain a fitting curve segment and a target fitting straight line.

[0091] Next, the maximum and minimum values ​​of the fitting curve segment can be determined to obtain multiple maxima and multiple minima, and the time length between adjacent maxima and minima can be determined to obtain multiple time lengths. The time length reflects the size of the cycle to a certain extent. Then, the first mean square error corresponding to the multiple time lengths can be determined, and the second mean square error corresponding to the multiple maxima and multiple minima can also be determined. The first mean square error is the periodic fluctuation or periodic stability, that is, the first mean square error reflects the lateral working stability of the steel wire rope core flame retardant conveyor belt, and the second mean square error reflects the longitudinal working stability of the steel wire rope core flame retardant conveyor belt.

[0092] Among them, the equipment attributes of the steel cord flame retardant conveyor belt may include at least one of the following: material, manufacturer, model, etc., which are not limited here.

[0093] Of course, the mapping relationship between the preset slope and the weight pair can also be stored in advance, and then the target slope corresponding to the target fitting line can be determined. The target slope reflects the equipment properties of the steel wire core flame retardant conveyor belt to a certain extent, that is, based on its own equipment properties, the lateral working stability and the longitudinal working stability of the steel wire core flame retardant conveyor belt can be accurately weighed. Based on the mapping relationship, the target weight pair corresponding to the target slope is determined, and the target weight pair includes a target first weight and a target second weight, and the target first weight + target second weight = 1. Then, according to the target The preset mean square error is determined by the target first weight, the target second weight, the first mean square error and the second mean square error, that is, the preset mean square error = target first weight * first mean square error + target second weight * second mean square error. In this way, the stability threshold of the steel wire rope core flame retardant conveyor belt can be accurately analyzed in combination with the lateral working stability of the steel wire rope core flame retardant conveyor belt and the longitudinal working stability of the steel wire rope core flame retardant conveyor belt. Therefore, it can provide a basis for accurately monitoring the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mines, which helps to ensure the safe monitoring of the steel wire rope core flame retardant conveyor belt for coal mines and ensure the working safety of the conveyor.

[0094] Optionally, the following steps may also be included:

[0095] Determining target attribute information of a target conveyed object on the steel cord core flame retardant conveyor belt;

[0096] Determine a target surface pressure threshold of the steel cord core flame retardant conveyor belt corresponding to the target attribute information;

[0097] Obtaining the current surface pressure of the steel cord core flame retardant conveyor belt;

[0098] When the current surface pressure is greater than the target surface pressure threshold, the step of acquiring thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period is performed.

[0099] In the embodiment of the present application, the target attribute information may include at least one of the following: type of transported object, density of transported object, composition of transported object, humidity of transported object, temperature of transported object, size of transported object, etc., which are not limited here.

[0100] In a specific implementation, the target attribute information of the target conveyed object on the steel wire rope core flame retardant conveyor belt can be determined, and the mapping relationship between the preset attribute information and the surface pressure threshold of the steel wire rope core flame retardant conveyor belt can be pre-stored. Then, the target surface pressure threshold of the steel wire rope core flame retardant conveyor belt corresponding to the target attribute information can be determined based on the mapping relationship.

[0101] Next, the current surface pressure of the steel wire rope core flame retardant conveyor belt can be obtained. When the current surface pressure is greater than the target surface pressure threshold, it means that the steel wire rope core flame retardant conveyor belt may be severely worn. In order to ensure work safety, the step of obtaining the thickness data of each thickness monitoring point of the multiple thickness monitoring points within the preset time period can be performed. In this way, accurate monitoring of the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mines can be achieved to ensure safety.

[0102] Of course, when the current surface pressure is less than or equal to the target surface pressure threshold, it means that the steel rope core flame retardant conveyor belt will not experience severe wear, and the step of obtaining the thickness data of each thickness monitoring point in the multiple thickness monitoring points within the preset time period may not be performed, thereby reducing the power consumption of the equipment.

[0103] It can be seen that the thickness wear monitoring method for the steel wire rope core flame retardant conveyor belt for coal mines described in the embodiment of the present application is applied to a conveyor, and the conveyor includes a steel wire rope core flame retardant conveyor belt, and the steel wire rope core flame retardant conveyor belt includes multiple thickness monitoring points, and each thickness monitoring point corresponds to a thickness monitoring device. The thickness data of each thickness monitoring point in the multiple thickness monitoring points within a preset time period is obtained to obtain multiple thickness data sets, and each thickness data set includes multiple thickness data, and each thickness data set corresponds to a monitoring time. Fitting is performed based on the multiple thickness data sets and the corresponding monitoring times to obtain multiple fitting straight lines, and each thickness data set corresponds to a fitting straight line. The slope of each fitting straight line in the multiple fitting straight lines is obtained to obtain multiple slopes, and the corresponding thickness data set is determined based on the multiple slopes. The thickness wear degree value of the thickness monitoring point is obtained, and multiple thickness wear degree values ​​are obtained. The thickness wear degree value greater than the preset threshold value is selected from the multiple thickness wear degree values ​​to obtain at least one target thickness wear degree value. An alarm operation is performed according to the at least one target thickness wear degree value. The slope of the fitting straight line reflects the thickness wear trend of the steel wire rope core flame retardant conveyor belt and the thickness wear speed of the steel wire rope core flame retardant conveyor belt. Furthermore, the wear data with abnormal thickness wear can be selected for alarm operation. That is, in order to ensure the safety of the conveyor belt, an alarm operation can be performed based on the thickness wear degree value corresponding to the abnormal thickness wear, thereby ensuring the working safety of the conveyor. In this way, accurate monitoring of the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mines can be achieved to ensure safety.

[0104] In accordance with the above embodiment, please refer to Figure 2 , Figure 2: is a structural schematic diagram of a conveyor provided in an embodiment of the present application. As shown in the figure, the conveyor includes a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor. In the embodiment of the present application, the conveyor includes a steel cord flame retardant conveyor belt, and the steel cord flame retardant conveyor belt includes a plurality of thickness monitoring points, each thickness monitoring point corresponds to a thickness monitoring device, and the program includes instructions for executing the following steps:

[0105] Acquire thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period to obtain a plurality of thickness data sets, each thickness data set including a plurality of thickness data, and each thickness data set corresponding to a monitoring moment;

[0106] Perform fitting according to the plurality of thickness data sets and corresponding monitoring moments to obtain a plurality of fitting straight lines, wherein each thickness data set corresponds to a fitting straight line;

[0107] Obtaining the slope of each of the plurality of fitted straight lines to obtain a plurality of slopes;

[0108] Determine thickness wear degree values ​​of corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values;

[0109] Selecting a thickness wear degree value greater than a preset threshold value from the plurality of thickness wear degree values ​​to obtain at least one target thickness wear degree value;

[0110] An alarm operation is performed according to the at least one target thickness wear degree value.

[0111] Optionally, in determining the thickness wear degree values ​​of the corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values, the program includes instructions for executing the following steps:

[0112] Determine a reference thickness wear degree value corresponding to a first slope, where the first slope is any slope among the multiple slopes;

[0113] Acquire a first operating temperature of a thickness monitoring point corresponding to the first slope;

[0114] Acquire a first ambient temperature of a thickness monitoring point corresponding to the first slope;

[0115] determining a target temperature difference between the first operating temperature and the first ambient temperature;

[0116] determining a first influence coefficient corresponding to the target temperature difference;

[0117] The reference thickness wear degree value is calibrated according to the first influence coefficient to obtain the thickness wear degree value corresponding to the first slope.

[0118] Optionally, in the aspect of performing an alarm operation according to the at least one target thickness wear degree value, the program includes instructions for performing the following steps:

[0119] Determining a target mean and a target mean square error of the at least one target thickness wear degree value;

[0120] Obtaining a target operating temperature of the steel cord core flame retardant conveyor belt;

[0121] determining a target surface pressure of the steel cord flame retardant conveyor belt;

[0122] Obtaining target operating parameters of the conveyor;

[0123] determining a reference thickness wear degree threshold value corresponding to the target surface pressure;

[0124] Determining a target adjustment parameter corresponding to the target operating temperature;

[0125] Determining a target fine-tuning parameter corresponding to the target operating parameter;

[0126] The reference thickness wear degree threshold is adjusted according to the target adjustment parameter and the target fine-tuning parameter to obtain a target thickness wear degree threshold;

[0127] When the target mean value is greater than the target thickness wear degree threshold value, determining a first difference between the target mean value and the target thickness wear degree threshold value;

[0128] Determine a first alarm parameter corresponding to the first difference, and perform an alarm operation according to the first alarm parameter;

[0129] When the target mean value is less than or equal to the target thickness wear degree threshold, detecting whether the target mean square error is greater than a preset threshold;

[0130] When the target mean square error is greater than the preset mean square error, determining a second difference between the target mean square error and the preset threshold;

[0131] determining a second alarm parameter corresponding to the second difference, and performing an alarm operation according to the second alarm parameter;

[0132] When the target mean square deviation is less than or equal to the preset mean square deviation, it is determined that the wear of the steel cord core flame retardant conveyor belt is normal.

[0133] Optionally, the program further includes instructions for executing the following steps:

[0134] Obtaining a historical thickness wear value of the steel cord flame-retardant conveyor belt, and obtaining a plurality of historical thickness wear values, each of which corresponds to a recording time;

[0135] Fitting is performed according to the multiple thickness wear degree values ​​and the corresponding recording times to obtain a fitting curve segment and a target fitting straight line, wherein the starting time of the fitting curve segment is the minimum recording time and the ending time is the maximum recording time;

[0136] Determine the maximum and minimum values ​​of the fitting curve segment to obtain multiple maximum and multiple minimum values;

[0137] Determine the time length between adjacent maximum values ​​and minimum values ​​to obtain multiple time lengths;

[0138] Determine a first mean square error corresponding to the multiple time lengths;

[0139] Determine a second mean square error corresponding to the plurality of maximum values ​​and the plurality of minimum values;

[0140] Determining a target slope corresponding to the target fitted straight line;

[0141] Determine a target weight pair corresponding to the target slope, the target weight pair comprising a target first weight and a target second weight;

[0142] The preset mean square error is determined according to the target first weight, the target second weight, the first mean square error, and the second mean square error.

[0143] Optionally, the program further includes instructions for executing the following steps:

[0144] Determining target attribute information of a target conveyed object on the steel cord core flame retardant conveyor belt;

[0145] Determine a target surface pressure threshold of the steel cord core flame retardant conveyor belt corresponding to the target attribute information;

[0146] Obtaining the current surface pressure of the steel cord core flame retardant conveyor belt;

[0147] When the current surface pressure is greater than the target surface pressure threshold, the step of acquiring thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period is performed.

[0148] It can be seen that the conveyor described in the embodiment of the present application includes a flame-retardant steel wire rope core conveyor belt, and the flame-retardant steel wire rope core conveyor belt includes multiple thickness monitoring points, each thickness monitoring point corresponds to a thickness monitoring device, and the thickness data of each thickness monitoring point in the multiple thickness monitoring points within a preset time period are obtained to obtain multiple thickness data sets, each thickness data set includes multiple thickness data, and each thickness data set corresponds to a monitoring moment. Fitting is performed based on the multiple thickness data sets and the corresponding monitoring moments to obtain multiple fitting straight lines, and each thickness data set corresponds to a fitting straight line. The slope of each fitting straight line in the multiple fitting straight lines is obtained to obtain multiple slopes, and the thickness wear degree of the corresponding thickness monitoring point is determined based on the multiple slopes. value, obtain multiple thickness wear degree values, select the thickness wear degree value greater than the preset threshold value from the multiple thickness wear degree values, obtain at least one target thickness wear degree value, perform an alarm operation according to the at least one target thickness wear degree value, the slope of the fitting straight line reflects the thickness wear trend of the steel wire rope core flame retardant conveyor belt, and the thickness wear speed of the steel wire rope core flame retardant conveyor belt, and then, the wear data with abnormal thickness wear can be selected for alarm operation, that is, in order to ensure the safety of the conveyor belt, the alarm operation can be performed based on the thickness wear degree value corresponding to the abnormal thickness wear, thereby ensuring the working safety of the conveyor, in this way, the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mine can be accurately monitored to ensure safety.

[0149] Figure 3 It is a functional unit composition block diagram of a thickness wear monitoring device 300 of a steel wire core flame retardant conveyor belt for coal mines involved in an embodiment of the present application. The thickness wear monitoring device 300 of a steel wire core flame retardant conveyor belt for coal mines is applied to a conveyor, wherein the conveyor comprises a steel wire core flame retardant conveyor belt, and the steel wire core flame retardant conveyor belt comprises a plurality of thickness monitoring points, and each thickness monitoring point corresponds to a thickness monitoring device. The thickness wear monitoring device 300 of a steel wire core flame retardant conveyor belt for coal mines comprises: an acquisition unit 301, a fitting unit 302, a determination unit 303, a selection unit 304 and an alarm unit 305, wherein:

[0150] The acquisition unit 301 is used to acquire the thickness data of each thickness monitoring point in the plurality of thickness monitoring points within a preset time period to obtain a plurality of thickness data sets, each thickness data set including a plurality of thickness data, and each thickness data set corresponds to a monitoring moment;

[0151] The fitting unit 302 is used to perform fitting according to the multiple thickness data sets and the corresponding monitoring moments to obtain multiple fitting straight lines, where each thickness data set corresponds to a fitting straight line;

[0152] The acquisition unit 301 is further used to acquire the slope of each of the plurality of fitted straight lines to obtain a plurality of slopes;

[0153] The determination unit 303 is used to determine the thickness wear degree values ​​of the corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values;

[0154] The selection unit 304 is used to select a thickness wear degree value greater than a preset threshold value from the plurality of thickness wear degree values ​​to obtain at least one target thickness wear degree value;

[0155] The alarm unit 305 is used to perform an alarm operation according to the at least one target thickness wear degree value.

[0156] Optionally, in determining the thickness wear degree values ​​of corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values, the determining unit 303 is specifically used to:

[0157] Determine a reference thickness wear degree value corresponding to a first slope, where the first slope is any slope among the multiple slopes;

[0158] Acquire a first operating temperature of a thickness monitoring point corresponding to the first slope;

[0159] Acquire a first ambient temperature of a thickness monitoring point corresponding to the first slope;

[0160] determining a target temperature difference between the first operating temperature and the first ambient temperature;

[0161] determining a first influence coefficient corresponding to the target temperature difference;

[0162] The reference thickness wear degree value is calibrated according to the first influence coefficient to obtain the thickness wear degree value corresponding to the first slope.

[0163] Optionally, in the aspect of performing an alarm operation according to the at least one target thickness wear degree value, the alarm unit 305 is specifically used for:

[0164] Determining a target mean and a target mean square error of the at least one target thickness wear degree value;

[0165] Obtaining a target operating temperature of the steel cord core flame retardant conveyor belt;

[0166] determining a target surface pressure of the steel cord flame retardant conveyor belt;

[0167] Obtaining target operating parameters of the conveyor;

[0168] determining a reference thickness wear degree threshold value corresponding to the target surface pressure;

[0169] Determining a target adjustment parameter corresponding to the target operating temperature;

[0170] Determining a target fine-tuning parameter corresponding to the target operating parameter;

[0171] The reference thickness wear degree threshold is adjusted according to the target adjustment parameter and the target fine-tuning parameter to obtain a target thickness wear degree threshold;

[0172] When the target mean value is greater than the target thickness wear degree threshold value, determining a first difference between the target mean value and the target thickness wear degree threshold value;

[0173] Determine a first alarm parameter corresponding to the first difference, and perform an alarm operation according to the first alarm parameter;

[0174] When the target mean value is less than or equal to the target thickness wear degree threshold, detecting whether the target mean square error is greater than a preset threshold;

[0175] When the target mean square error is greater than the preset mean square error, determining a second difference between the target mean square error and the preset threshold;

[0176] determining a second alarm parameter corresponding to the second difference, and performing an alarm operation according to the second alarm parameter;

[0177] When the target mean square deviation is less than or equal to the preset mean square deviation, it is determined that the wear of the steel cord core flame retardant conveyor belt is normal.

[0178] Optionally, the thickness wear monitoring device 300 for a flame-retardant steel cord conveyor belt for coal mines is also specifically used for:

[0179] Obtaining a historical thickness wear value of the steel cord flame-retardant conveyor belt, and obtaining a plurality of historical thickness wear values, each of which corresponds to a recording time;

[0180] Fitting is performed according to the multiple thickness wear degree values ​​and the corresponding recording times to obtain a fitting curve segment and a target fitting straight line, wherein the starting time of the fitting curve segment is the minimum recording time and the ending time is the maximum recording time;

[0181] Determine the maximum and minimum values ​​of the fitting curve segment to obtain multiple maximum and multiple minimum values;

[0182] Determine the time length between adjacent maximum values ​​and minimum values ​​to obtain multiple time lengths;

[0183] Determine a first mean square error corresponding to the multiple time lengths;

[0184] Determine a second mean square error corresponding to the plurality of maximum values ​​and the plurality of minimum values;

[0185] Determining a target slope corresponding to the target fitted straight line;

[0186] Determine a target weight pair corresponding to the target slope, the target weight pair comprising a target first weight and a target second weight;

[0187] The preset mean square error is determined according to the target first weight, the target second weight, the first mean square error, and the second mean square error.

[0188] Optionally, the thickness wear monitoring device 300 for the steel cord flame retardant conveyor belt for coal mine is also specifically used to determine target attribute information of a target conveyed object on the steel cord flame retardant conveyor belt;

[0189] Determine a target surface pressure threshold of the steel cord core flame retardant conveyor belt corresponding to the target attribute information;

[0190] Obtaining the current surface pressure of the steel cord core flame retardant conveyor belt;

[0191] When the current surface pressure is greater than the target surface pressure threshold, the step of acquiring thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period is performed.

[0192] It can be seen that the thickness wear monitoring device for the steel wire rope core flame retardant conveyor belt for coal mines described in the embodiment of the present application is applied to a conveyor, and the conveyor includes a steel wire rope core flame retardant conveyor belt, and the steel wire rope core flame retardant conveyor belt includes multiple thickness monitoring points, and each thickness monitoring point corresponds to a thickness monitoring device, and the thickness data of each thickness monitoring point in the multiple thickness monitoring points within a preset time period are obtained to obtain multiple thickness data sets, and each thickness data set includes multiple thickness data, and each thickness data set corresponds to a monitoring time. Fitting is performed based on the multiple thickness data sets and the corresponding monitoring times to obtain multiple fitting straight lines, and each thickness data set corresponds to a fitting straight line. The slope of each fitting straight line in the multiple fitting straight lines is obtained to obtain multiple slopes, and the corresponding thickness data set is determined based on the multiple slopes. The thickness wear degree value of the thickness monitoring point is obtained, and multiple thickness wear degree values ​​are obtained. The thickness wear degree value greater than the preset threshold value is selected from the multiple thickness wear degree values ​​to obtain at least one target thickness wear degree value. An alarm operation is performed according to the at least one target thickness wear degree value. The slope of the fitting straight line reflects the thickness wear trend of the steel wire rope core flame retardant conveyor belt and the thickness wear speed of the steel wire rope core flame retardant conveyor belt. Furthermore, the wear data with abnormal thickness wear can be selected for alarm operation. That is, in order to ensure the safety of the conveyor belt, an alarm operation can be performed based on the thickness wear degree value corresponding to the abnormal thickness wear, thereby ensuring the working safety of the conveyor. In this way, accurate monitoring of the thickness wear of the steel wire rope core flame retardant conveyor belt for coal mines can be achieved to ensure safety.

[0193] It can be understood that the functions of each program module of the thickness wear monitoring device of the steel wire core flame-retardant conveyor belt for coal mines in this embodiment can be specifically implemented according to the method in the above method embodiment, and its specific implementation process can refer to the relevant description of the above method embodiment, which will not be repeated here.

[0194] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps of any method described in the above method embodiment, and the above computer includes a conveyor.

[0195] The present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps of any method described in the method embodiment. The computer program product may be a software installation package, and the computer includes a conveyor.

[0196] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0197] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0198] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0199] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0200] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0201] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-mentioned methods of each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or CD-ROM and other media that can store program codes.

[0202] A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (English: Read-Only Memory, abbreviated as: ROM), a random access memory (English: Random Access Memory, abbreviated as: RAM), a magnetic disk or an optical disk, etc.

[0203] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for monitoring thickness wear of a flame-retardant steel cord conveyor belt for coal mines, characterized in that: Applied to a conveyor, the conveyor includes a steel cord flame retardant conveyor belt, the steel cord flame retardant conveyor belt includes a plurality of thickness monitoring points, each thickness monitoring point corresponds to a thickness monitoring device, the method includes: Acquire thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period to obtain a plurality of thickness data sets, each thickness data set including a plurality of thickness data, and each thickness data set corresponding to a monitoring moment; Perform fitting according to the plurality of thickness data sets and corresponding monitoring moments to obtain a plurality of fitting straight lines, wherein each thickness data set corresponds to a fitting straight line; Obtaining the slope of each of the plurality of fitted straight lines to obtain a plurality of slopes; Determine thickness wear degree values ​​of corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values; Selecting a thickness wear degree value greater than a preset threshold value from the plurality of thickness wear degree values ​​to obtain at least one target thickness wear degree value; An alarm operation is performed according to the at least one target thickness wear degree value.

2. The method according to claim 1, characterized in that: Determining the thickness wear degree values ​​of corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values ​​includes: Determine a reference thickness wear degree value corresponding to a first slope, where the first slope is any slope among the multiple slopes; Acquire a first operating temperature of a thickness monitoring point corresponding to the first slope; Acquire a first ambient temperature of a thickness monitoring point corresponding to the first slope; determining a target temperature difference between the first operating temperature and the first ambient temperature; determining a first influence coefficient corresponding to the target temperature difference; The reference thickness wear degree value is calibrated according to the first influence coefficient to obtain the thickness wear degree value corresponding to the first slope.

3. The method according to claim 1 or 2, characterized in that: The alarm operation is performed according to the at least one target thickness wear degree value, comprising: Determining a target mean and a target mean square error of the at least one target thickness wear degree value; Obtaining a target operating temperature of the steel cord core flame retardant conveyor belt; determining a target surface pressure of the steel cord flame retardant conveyor belt; Obtaining target operating parameters of the conveyor; determining a reference thickness wear degree threshold value corresponding to the target surface pressure; Determining a target adjustment parameter corresponding to the target operating temperature; Determining a target fine-tuning parameter corresponding to the target operating parameter; The reference thickness wear degree threshold is adjusted according to the target adjustment parameter and the target fine-tuning parameter to obtain a target thickness wear degree threshold; When the target mean value is greater than the target thickness wear degree threshold value, determining a first difference between the target mean value and the target thickness wear degree threshold value; Determine a first alarm parameter corresponding to the first difference, and perform an alarm operation according to the first alarm parameter; When the target mean value is less than or equal to the target thickness wear degree threshold, detecting whether the target mean square error is greater than a preset threshold; When the target mean square error is greater than the preset mean square error, determining a second difference between the target mean square error and the preset threshold; determining a second alarm parameter corresponding to the second difference, and performing an alarm operation according to the second alarm parameter; When the target mean square deviation is less than or equal to the preset mean square deviation, it is determined that the wear of the steel cord core flame retardant conveyor belt is normal.

4. The method according to claim 3, characterized in that The method further comprises: Obtaining a historical thickness wear value of the steel cord flame-retardant conveyor belt, and obtaining a plurality of historical thickness wear values, each of which corresponds to a recording time; Fitting is performed according to the multiple thickness wear degree values ​​and the corresponding recording times to obtain a fitting curve segment and a target fitting straight line, wherein the starting time of the fitting curve segment is the minimum recording time and the ending time is the maximum recording time; Determine the maximum and minimum values ​​of the fitting curve segment to obtain multiple maximum and multiple minimum values; Determine the time length between adjacent maximum values ​​and minimum values ​​to obtain multiple time lengths; Determine a first mean square error corresponding to the multiple time lengths; Determine a second mean square error corresponding to the plurality of maximum values ​​and the plurality of minimum values; Determining a target slope corresponding to the target fitted straight line; Determine a target weight pair corresponding to the target slope, the target weight pair comprising a target first weight and a target second weight; The preset mean square error is determined according to the target first weight, the target second weight, the first mean square error, and the second mean square error.

5. The method according to claim 1 or 2, characterized in that: The method further comprises: Determining target attribute information of a target conveyed object on the steel cord core flame retardant conveyor belt; Determine a target surface pressure threshold of the steel cord core flame retardant conveyor belt corresponding to the target attribute information; Obtaining the current surface pressure of the steel cord core flame retardant conveyor belt; When the current surface pressure is greater than the target surface pressure threshold, the step of acquiring thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period is performed.

6. A thickness wear monitoring device for a flame-retardant steel cord conveyor belt for coal mines, characterized in that: Applied to a conveyor, the conveyor includes a steel cord flame retardant conveyor belt, the steel cord flame retardant conveyor belt includes a plurality of thickness monitoring points, each thickness monitoring point corresponds to a thickness monitoring device, the device includes: an acquisition unit, a fitting unit, a determination unit, a selection unit and an alarm unit, wherein, The acquisition unit is used to acquire the thickness data of each thickness monitoring point among the plurality of thickness monitoring points within a preset time period to obtain a plurality of thickness data sets, each thickness data set includes a plurality of thickness data, and each thickness data set corresponds to a monitoring moment; The fitting unit is used to perform fitting according to the multiple thickness data sets and the corresponding monitoring moments to obtain multiple fitting straight lines, where each thickness data set corresponds to a fitting straight line; The acquisition unit is further used to acquire the slope of each of the plurality of fitted straight lines to obtain a plurality of slopes; The determination unit is used to determine the thickness wear degree values ​​of the corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values; The selection unit is used to select a thickness wear degree value greater than a preset threshold value from the multiple thickness wear degree values ​​to obtain at least one target thickness wear degree value; The alarm unit is used to perform an alarm operation according to the at least one target thickness wear degree value.

7. The device according to claim 6, characterized in that In the aspect of determining the thickness wear degree values ​​of the corresponding thickness monitoring points according to the multiple slopes to obtain multiple thickness wear degree values, the determining unit is specifically used for: Determine a reference thickness wear degree value corresponding to a first slope, where the first slope is any slope among the multiple slopes; Acquire a first operating temperature of a thickness monitoring point corresponding to the first slope; Acquire a first ambient temperature of a thickness monitoring point corresponding to the first slope; determining a target temperature difference between the first operating temperature and the first ambient temperature; determining a first influence coefficient corresponding to the target temperature difference; The reference thickness wear degree value is calibrated according to the first influence coefficient to obtain the thickness wear degree value corresponding to the first slope.

8. The device according to claim 6 or 7, characterized in that In the aspect of performing an alarm operation according to the at least one target thickness wear degree value, the alarm unit is specifically used for: Determining a target mean and a target mean square error of the at least one target thickness wear degree value; Obtaining a target operating temperature of the steel cord core flame retardant conveyor belt; determining a target surface pressure of the steel cord flame retardant conveyor belt; Obtaining target operating parameters of the conveyor; determining a reference thickness wear degree threshold value corresponding to the target surface pressure; Determining a target adjustment parameter corresponding to the target operating temperature; Determining a target fine-tuning parameter corresponding to the target operating parameter; The reference thickness wear degree threshold is adjusted according to the target adjustment parameter and the target fine-tuning parameter to obtain a target thickness wear degree threshold; When the target mean value is greater than the target thickness wear degree threshold value, determining a first difference between the target mean value and the target thickness wear degree threshold value; Determine a first alarm parameter corresponding to the first difference, and perform an alarm operation according to the first alarm parameter; When the target mean value is less than or equal to the target thickness wear degree threshold, detecting whether the target mean square error is greater than a preset threshold; When the target mean square error is greater than the preset mean square error, determining a second difference between the target mean square error and the preset threshold; determining a second alarm parameter corresponding to the second difference, and performing an alarm operation according to the second alarm parameter; When the target mean square deviation is less than or equal to the preset mean square deviation, it is determined that the wear of the steel cord core flame retardant conveyor belt is normal.

9. A conveyor, characterized in that: The method comprises a processor and a memory, wherein the memory is used to store one or more programs and is configured to be executed by the processor, wherein the program comprises instructions for executing the steps in the method according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: A computer program for electronic data exchange is stored, wherein the computer program enables a computer to execute the method according to any one of claims 1 to 5.

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