Visual monitoring method and system for temperature of coal conveying belt

Abstract

The invention relates to the technical field of thermal power generation, and particularly discloses a visual monitoring method and system for the temperature of a coal conveying belt, and the method comprises the steps: obtaining the temperature data of the coal conveying belt, and drawing a temperature distribution image of the coal conveying belt according to the temperature data of the coal conveying belt; temperature data of coal on the coal conveying belt are obtained, the temperature distribution image of the coal conveying belt is corrected according to the temperature data of the coal on the coal conveying belt, and a corrected visual temperature distribution image of the coal conveying belt is obtained; a high-temperature dangerous area is screened out according to the corrected temperature distribution image of the coal conveying belt, and early warning parameters of the coal conveying belt are determined according to the high-temperature dangerous area; and determining the early warning grade of the coal conveying belt according to the early warning parameters of the coal conveying belt, and performing early warning marking on the corrected temperature distribution image of the coal conveying belt according to the early warning grade of the coal conveying belt. According to the invention, a visual coal conveying belt temperature distribution image can be established and a high-temperature area in the image can be marked, so that inspection personnel can be assisted in finding hidden danger point locations and positioning a fault area.

Description

Technical Field

[0001] The present application relates to the field of thermal power generation technology, and more specifically, to a method and system for visually monitoring the temperature of a coal conveyor belt. Background Art

[0002] As the main means of transporting coal in thermal power plants, coal conveyors have been widely optimized. In recent years, research on the safe, efficient and stable operation of coal conveyors has been ongoing. Due to the requirements of environmental protection policies in recent years, coal conveyors are mostly operated in closed pipe corridors, where the space is small, the regional environmental conditions are harsh, the coal powder concentration is high, the risk factor of personnel inspection is high, and the efficiency is low; and the coal itself is relatively dry, and the friction heat generated by the internal coal during transportation, the rolling friction heat generated by the rollers, and other factors will increase the temperature of the coal conveying area, which is further prone to roller failure, spontaneous combustion of materials, and even dust explosions.

[0003] In the prior art, the temperature monitoring of the coal conveyor belt is limited to patrol inspections using manual handheld temperature measurement. Due to the harsh environmental conditions on site, patrol personnel face huge safety hazards and the patrol efficiency is low, making it impossible to discover safety hazards in a timely manner. Summary of the invention

[0004] The present invention provides a method and system for visually monitoring the temperature of a coal conveyor belt, which is used to solve the problem that the temperature monitoring efficiency of the coal conveyor belt is low and the safety hazards cannot be discovered in time in the prior art, including: Acquire the temperature data of the coal conveyor belt, and draw a temperature distribution image of the coal conveyor belt according to the temperature data of the coal conveyor belt; Acquire the temperature data of the coal on the coal conveyor belt, and correct the temperature distribution image of the coal conveyor belt according to the temperature data of the coal on the coal conveyor belt to obtain a corrected visualized temperature distribution image of the coal conveyor belt; According to the corrected temperature distribution image of the coal conveyor belt, the high temperature danger area is screened out, and the early warning parameters of the coal conveyor belt are determined according to the high temperature danger area; The coal conveyor belt warning level is determined according to the warning parameters of the coal conveyor belt, and the corrected coal conveyor belt temperature distribution image is marked with warnings according to the coal conveyor belt warning level.

[0005] Further, the drawing of the coal conveyor belt temperature distribution image according to the coal conveyor belt temperature data includes: Obtain the distribution of the temperature data of the coal conveyor belt, and cluster each temperature data according to the distribution of the temperature data of the coal conveyor belt; According to the temperature data clustering results, a corresponding danger level is assigned to each temperature data, and a temperature distribution image of the coal conveyor belt is drawn according to the danger level corresponding to each temperature data.

[0006] Furthermore, clustering each temperature data according to the distribution of the temperature data of the coal conveyor belt includes: A temperature data set is established based on the temperature data of the coal conveyor belt, and k initial clustering centers of the temperature data set are randomly selected; Calculate the Euclidean distance between the coal conveyor belt temperature in the temperature data set and the initial cluster center, and divide each coal conveyor belt temperature into a corresponding cluster according to the Euclidean distance between the coal conveyor belt temperature in the temperature data set and the initial cluster center; Calculate the average value of the coal conveyor belt temperature in each cluster, and re-determine the cluster center based on the average value of the coal conveyor belt temperature in each cluster; Repeat the above steps until the cluster center no longer changes or the number of iterations reaches the preset iteration threshold, and k final clusters are obtained.

[0007] Furthermore, the assigning of corresponding risk levels to each temperature data according to the temperature data clustering result includes: Determine the cluster center value corresponding to each temperature data according to the temperature data clustering result, obtain the preset allowable temperature, and calculate the difference between the cluster center value corresponding to each temperature data and the preset allowable temperature; Determine whether the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than a first preset threshold value, and if the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than the first preset threshold value, set the first risk level as the risk level of the temperature data; If the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is less than or equal to the first preset threshold, then determine whether the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than the second preset threshold; If the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than a second preset threshold, the second risk level is set as the risk level of the temperature data; If the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is less than or equal to the second preset threshold, the third risk level is set as the risk level of the temperature data.

[0008] Furthermore, the correction of the temperature distribution image of the coal conveyor belt according to the temperature data of the coal on the coal conveyor belt comprises: Obtain a preset grid, and segment the temperature distribution image of the coal conveyor belt according to the preset grid to obtain a plurality of segmented temperature distribution images; Acquire the temperature data of the coal in each segmented temperature distribution image, and correct the danger level of each segmented temperature distribution image according to the temperature data of the coal and the distance value between the coal and each temperature data point; The corrected segmented temperature distribution images are spliced ​​to obtain a corrected coal conveyor belt temperature distribution image.

[0009] Furthermore, the correction of the danger level of each segmented temperature distribution image according to the temperature data of the coal and the distance value between the coal and each temperature data point includes: Calculate the correction coefficient of the danger level of the segmented temperature distribution image based on the correction coefficient calculation formula according to the temperature data of the coal and the distance value between the coal and each temperature data point; The danger level of each segmented temperature distribution image is corrected according to the correction coefficient. The correction coefficient calculation formula is specifically as follows:

[0010] in, is the danger correction factor of the temperature data point, is the total amount of coal on the segmented temperature distribution image, is the preset standard distance value, is the distance between the ith coal and the temperature data point, is the temperature data of the i-th coal, To preset standard temperature data, is the preset range coefficient, is a natural exponential function.

[0011] Furthermore, the method of screening out the high temperature danger zone according to the corrected temperature distribution image of the coal conveyor belt and determining the early warning parameters of the coal conveyor belt according to the high temperature danger zone includes: Screen out data points in the corrected coal conveyor belt temperature distribution image whose danger level is greater than a preset danger level threshold, and determine the distribution area formed by the data points whose danger level is greater than the preset danger level threshold as a high temperature danger area; The area value of each high-temperature danger zone in the corrected coal conveyor belt temperature distribution image is obtained, and the proportion of the high-temperature danger zone in the corrected coal conveyor belt temperature distribution image is determined according to the area value of each high-temperature danger zone, and the proportion of the high-temperature danger zone is determined as the danger warning parameter of the coal conveyor belt.

[0012] Further, determining the coal conveyor belt warning level according to the warning parameters of the coal conveyor belt includes: Obtaining preset allowable danger warning parameters, and calculating the difference between the danger warning parameters of the coal conveyor belt and the preset allowable danger warning parameters; Determine whether the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than a third preset threshold value; if the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than the third preset threshold value, set the first warning level as the coal conveyor belt warning level; If the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is less than or equal to the third preset threshold, then determine whether the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than the fourth preset threshold; If the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than the fourth preset threshold, the second warning level is set as the coal conveyor belt warning level; If the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is less than or equal to the fourth preset threshold, the third warning level is set as the coal conveyor belt warning level.

[0013] Furthermore, the step of marking the corrected temperature distribution image of the coal conveyor belt according to the coal conveyor belt warning level includes: When the coal conveyor belt warning level is the first warning level, a warning mark is made at the corresponding high temperature area of ​​the corrected coal conveyor belt temperature distribution image; When the coal conveyor belt warning level is the second warning level, a reminder mark is made at the corresponding high temperature area of ​​the corrected coal conveyor belt temperature distribution image; When the coal conveyor belt warning level is the third warning level, the corrected coal conveyor belt temperature distribution image is not marked.

[0014] In order to achieve the above object, the present invention also provides a coal conveyor belt temperature visualization monitoring system, comprising: The first module is used to obtain the temperature data of the coal conveyor belt and draw a temperature distribution image of the coal conveyor belt according to the temperature data of the coal conveyor belt; The second module is used to obtain the temperature data of the coal on the coal conveyor belt, and to correct the temperature distribution image of the coal conveyor belt according to the temperature data of the coal on the coal conveyor belt to obtain a corrected visualized temperature distribution image of the coal conveyor belt; The third module is used to screen out the high temperature danger area according to the corrected temperature distribution image of the coal conveyor belt, and determine the early warning parameters of the coal conveyor belt according to the high temperature danger area; The fourth module is used to determine the coal conveyor belt warning level according to the coal conveyor belt warning parameters, and to mark the corrected coal conveyor belt temperature distribution image with warnings according to the coal conveyor belt warning level.

[0015] The beneficial effects of the present invention are: By applying the above technical scheme, the present invention can establish a visual temperature distribution image of the coal conveyor belt and mark the high-temperature areas in the image. When a high-temperature warning occurs, the position of the high-temperature point can be accurately located, assisting patrol personnel to discover hidden danger points earlier and locate the fault area more quickly. At the same time, the fire-fighting system can be linked to carry out on-site emergency handling of high-temperature accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 The overall flow chart of a method for visually monitoring the temperature of a coal conveyor belt proposed in an embodiment of the present invention is shown; Figure 2 A structural schematic diagram of a coal conveyor belt temperature visualization monitoring system proposed in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions 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.

[0019] The present application embodiment provides a method for visually monitoring the temperature of a coal conveyor belt. Figure 1 As shown, the method includes: S101, obtaining temperature data of a coal conveyor belt, and drawing a temperature distribution image of the coal conveyor belt according to the temperature data of the coal conveyor belt; In some embodiments of the present application, drawing a temperature distribution image of a coal conveyor belt based on the temperature data of the coal conveyor belt includes: obtaining the distribution of the temperature data of the coal conveyor belt, and clustering each temperature data according to the distribution of the temperature data of the coal conveyor belt; assigning a corresponding degree of danger to each temperature data according to the temperature data clustering result, and drawing a temperature distribution image of the coal conveyor belt according to the degree of danger corresponding to each temperature data.

[0020] In this embodiment, the temperature data of the coal conveyor belt is monitored by a temperature sensor, and a degree of danger is assigned to each position of the coal conveyor belt according to the temperature data of the coal conveyor belt. Different depths of colors are assigned to the coal conveyor belt according to different degrees of danger, so as to draw a temperature distribution image of the coal conveyor belt and realize visual temperature monitoring of the coal conveyor belt.

[0021] In some embodiments of the present application, the clustering of each temperature data according to the distribution of the coal conveyor belt temperature data includes: establishing a temperature data set based on the coal conveyor belt temperature data, and randomly selecting k initial clustering centers of the temperature data set; calculating the Euclidean distance from the coal conveyor belt temperature in the temperature data set to the initial clustering center, and dividing each coal conveyor belt temperature into a corresponding cluster cluster according to the Euclidean distance from the coal conveyor belt temperature in the temperature data set to the initial clustering center; calculating the average value of the coal conveyor belt temperature in each cluster cluster, and re-determining the cluster center according to the average value of the coal conveyor belt temperature in each cluster cluster; repeatedly iterating the above steps until the cluster center no longer changes or the number of iterations reaches a preset iteration threshold, and obtaining k final cluster clusters.

[0022] In this embodiment, the coal conveyor belt temperature is clustered based on the k-means clustering algorithm. In this embodiment, the k value is set to 3, and the belt positions corresponding to the temperature are divided into three clusters according to the coal conveyor belt temperature.

[0023] In some embodiments of the present application, the method of assigning a corresponding risk level to each temperature data according to the temperature data clustering result includes: determining the cluster center value corresponding to each temperature data according to the temperature data clustering result, obtaining a preset allowable temperature, and calculating the difference between the cluster center value corresponding to each temperature data and the preset allowable temperature; judging whether the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than a first preset threshold value, if the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than the first preset threshold value, setting the first risk level as the risk level of the temperature data; if the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is less than or equal to the first preset threshold value, judging whether the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than a second preset threshold value; if the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than the second preset threshold value, setting the second risk level as the risk level of the temperature data; if the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is less than or equal to the second preset threshold value, setting the third risk level as the risk level of the temperature data.

[0024] In this embodiment, the risk level of each temperature data is set by the difference between the cluster center value corresponding to each temperature data and the preset allowable temperature. The larger the difference, the higher the corresponding risk level.

[0025] S102, obtaining temperature data of the coal on the coal conveyor belt, and correcting the temperature distribution image of the coal conveyor belt according to the temperature data of the coal on the coal conveyor belt to obtain a corrected visualized temperature distribution image of the coal conveyor belt; In some embodiments of the present application, the correction of the temperature distribution image of the coal conveyor belt based on the temperature data of the coal on the coal conveyor belt includes: obtaining a preset grid, segmenting the temperature distribution image of the coal conveyor belt according to the preset grid to obtain a plurality of segmented temperature distribution images; obtaining the temperature data of the coal in each segmented temperature distribution image, and correcting the danger level of each segmented temperature distribution image according to the temperature data of the coal and the distance value between the coal and each temperature data point; and splicing the corrected segmented temperature distribution images to obtain a corrected temperature distribution image of the coal conveyor belt.

[0026] In this embodiment, the width of the coal conveyor belt is set to the width of the preset grid, and the length of the preset grid can be freely set as required. The temperature distribution image of the coal conveyor belt is divided into several segmented temperature distribution images through the preset grid. Since the temperature of the coal on the belt will affect the belt temperature, the danger level of each segmented temperature distribution image is corrected by the distance value between the temperature data of the coal in each segmented temperature distribution image and each temperature data point, thereby realizing the correction of the temperature distribution image of the coal conveyor belt.

[0027] In some embodiments of the present application, the method of correcting the danger level of each segmented temperature distribution image according to the temperature data of the coal and the distance value between the coal and each temperature data point includes: calculating the correction coefficient of the danger level of the segmented temperature distribution image according to the temperature data of the coal and the distance value between the coal and each temperature data point based on the correction coefficient calculation formula; correcting the danger level of each segmented temperature distribution image according to the correction coefficient, wherein the correction coefficient calculation formula is specifically:

[0028] in, is the danger correction factor of the temperature data point, is the total amount of coal on the segmented temperature distribution image, is the preset standard distance value, is the distance between the ith coal and the temperature data point, is the temperature data of the i-th coal, To preset standard temperature data, is the preset range coefficient, is a natural exponential function.

[0029] In this embodiment, the position of each coal on the distribution belt is identified and marked in the corresponding segmented temperature distribution image, and the distance value is calculated between the position of the coal and the temperature data point on the segmented temperature distribution image, so that the hazard correction coefficient of the temperature data point is calculated based on the correction coefficient calculation formula, and the correction coefficient is multiplied by the corresponding hazard to correct the hazard of the temperature data point.

[0030] S103, screening out high temperature danger areas according to the corrected temperature distribution image of the coal conveyor belt, and determining early warning parameters of the coal conveyor belt according to the high temperature danger areas; In some embodiments of the present application, the high-temperature danger zone is screened out according to the corrected temperature distribution image of the coal conveyor belt, and the warning parameters of the coal conveyor belt are determined according to the high-temperature danger zone, including: screening out data points in the corrected temperature distribution image of the coal conveyor belt whose danger level is greater than a preset danger level threshold, and determining the distribution area formed by the data points whose danger level is greater than the preset danger level threshold as the high-temperature danger zone; obtaining the area value of each high-temperature danger zone in the corrected temperature distribution image of the coal conveyor belt, determining the proportion of the high-temperature danger zone in the corrected temperature distribution image of the coal conveyor belt according to the area value of each high-temperature danger zone, and determining the proportion of the high-temperature danger zone as the danger warning parameter of the coal conveyor belt.

[0031] In this embodiment, a high temperature danger zone is formed by connecting data points whose danger levels are greater than a preset danger threshold and whose distance values ​​are less than a preset distance value, and then the danger warning parameters of the coal conveyor belt are obtained through the proportion of the high temperature danger zone.

[0032] S104, determining a warning level of the coal conveyor belt according to the warning parameters of the coal conveyor belt, and marking the corrected temperature distribution image of the coal conveyor belt with a warning according to the warning level of the coal conveyor belt.

[0033] In some embodiments of the present application, determining the coal conveyor belt warning level according to the warning parameters of the coal conveyor belt includes: obtaining a preset allowable danger warning parameter, calculating the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter; judging whether the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than a third preset threshold value, if the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than the third preset threshold value, setting the first warning level as the coal conveyor belt warning level; if the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is less than or equal to the third preset threshold value, judging whether the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than a fourth preset threshold value; if the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than the fourth preset threshold value, setting the second warning level as the coal conveyor belt warning level; if the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is less than or equal to the fourth preset threshold value, setting the third warning level as the coal conveyor belt warning level.

[0034] In this embodiment, the coal conveyor belt warning level is set by the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter. The larger the difference, the higher the corresponding warning level rank and the greater the overheating risk of the coal conveyor belt.

[0035] In some embodiments of the present application, the warning marking of the corrected coal conveyor belt temperature distribution image according to the coal conveyor belt warning level includes: when the coal conveyor belt warning level is the first warning level, warning marking is performed at the corresponding high temperature area of ​​the corrected coal conveyor belt temperature distribution image; when the coal conveyor belt warning level is the second warning level, reminder marking is performed at the corresponding high temperature area of ​​the corrected coal conveyor belt temperature distribution image; when the coal conveyor belt warning level is the third warning level, no marking is performed on the corrected coal conveyor belt temperature distribution image.

[0036] In this embodiment, the temperature distribution image of the coal conveyor belt is marked by the early warning level of the coal conveyor belt, so as to realize the visual monitoring of the temperature of the coal conveyor belt.

[0037] Based on the same technical concept, such as Figure 2 As shown, the present invention also provides a coal conveyor belt temperature visualization monitoring system, comprising: The first module is used to obtain the temperature data of the coal conveyor belt, and to draw the temperature distribution image of the coal conveyor belt based on the temperature data of the coal conveyor belt; the second module is used to obtain the temperature data of the coal on the coal conveyor belt, and to correct the temperature distribution image of the coal conveyor belt based on the temperature data of the coal on the coal conveyor belt to obtain a corrected visualized temperature distribution image of the coal conveyor belt; the third module is used to screen out the high-temperature danger zone based on the corrected temperature distribution image of the coal conveyor belt, and to determine the early warning parameters of the coal conveyor belt based on the high-temperature danger zone; the fourth module is used to determine the early warning level of the coal conveyor belt based on the early warning parameters of the coal conveyor belt, and to mark the corrected temperature distribution image of the coal conveyor belt with early warning according to the early warning level of the coal conveyor belt.

[0038] By applying the above technical scheme, the present invention obtains the temperature data of the coal conveyor belt, and draws the temperature distribution image of the coal conveyor belt according to the temperature data of the coal conveyor belt; obtains the temperature data of the coal on the coal conveyor belt, and corrects the temperature distribution image of the coal conveyor belt according to the temperature data of the coal on the coal conveyor belt to obtain a corrected visualized temperature distribution image of the coal conveyor belt; screens out the high temperature danger area according to the corrected temperature distribution image of the coal conveyor belt, and determines the early warning parameters of the coal conveyor belt according to the high temperature danger area; determines the early warning level of the coal conveyor belt according to the early warning parameters of the coal conveyor belt, and performs early warning annotation on the corrected temperature distribution image of the coal conveyor belt according to the early warning level of the coal conveyor belt. The present invention can establish a visualized temperature distribution image of the coal conveyor belt and annotate the high temperature area in the image, so as to assist the inspection personnel in finding the hidden danger points and locating the fault area.

[0039] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for visually monitoring the temperature of a coal conveyor belt, characterized in that: The method comprises: Acquire the temperature data of the coal conveyor belt, and draw a temperature distribution image of the coal conveyor belt according to the temperature data of the coal conveyor belt; Acquire the temperature data of the coal on the coal conveyor belt, and correct the temperature distribution image of the coal conveyor belt according to the temperature data of the coal on the coal conveyor belt to obtain a corrected visualized temperature distribution image of the coal conveyor belt; The high temperature danger zone is screened out according to the corrected temperature distribution image of the coal conveyor belt, and the early warning parameters of the coal conveyor belt are determined according to the high temperature danger zone; The coal conveyor belt warning level is determined according to the warning parameters of the coal conveyor belt, and the corrected coal conveyor belt temperature distribution image is marked with warnings according to the coal conveyor belt warning level.

2. The method for visually monitoring the temperature of a coal conveyor belt according to claim 1, characterized in that: The step of drawing a temperature distribution image of the coal conveyor belt according to the temperature data of the coal conveyor belt comprises: Obtain the distribution of the temperature data of the coal conveyor belt, and cluster each temperature data according to the distribution of the temperature data of the coal conveyor belt; According to the temperature data clustering results, a corresponding danger level is assigned to each temperature data, and a temperature distribution image of the coal conveyor belt is drawn according to the danger level corresponding to each temperature data.

3. The method for visually monitoring the temperature of a coal conveyor belt according to claim 2, characterized in that: The clustering of each temperature data according to the distribution of the temperature data of the coal conveyor belt includes: A temperature data set is established based on the temperature data of the coal conveyor belt, and k initial clustering centers of the temperature data set are randomly selected; Calculate the Euclidean distance between the coal conveyor belt temperature in the temperature data set and the initial cluster center, and divide each coal conveyor belt temperature into a corresponding cluster according to the Euclidean distance between the coal conveyor belt temperature in the temperature data set and the initial cluster center; Calculate the average value of the coal conveyor belt temperature in each cluster, and re-determine the cluster center based on the average value of the coal conveyor belt temperature in each cluster; Repeat the above steps until the cluster center no longer changes or the number of iterations reaches the preset iteration threshold, and k final clusters are obtained.

4. The method for visually monitoring the temperature of a coal conveyor belt according to claim 3, characterized in that: The step of allocating a corresponding risk level to each temperature data according to the temperature data clustering result includes: Determine the cluster center value corresponding to each temperature data according to the temperature data clustering result, obtain the preset allowable temperature, and calculate the difference between the cluster center value corresponding to each temperature data and the preset allowable temperature; Determine whether the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than a first preset threshold value, and if the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than the first preset threshold value, set the first risk level as the risk level of the temperature data; If the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is less than or equal to the first preset threshold, then determine whether the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than the second preset threshold; If the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is greater than a second preset threshold, the second risk level is set as the risk level of the temperature data; If the difference between the cluster center value corresponding to the temperature data and the preset allowable temperature is less than or equal to the second preset threshold, the third risk level is set as the risk level of the temperature data.

5. The method for visually monitoring the temperature of a coal conveyor belt according to claim 4, characterized in that: The method of correcting the temperature distribution image of the coal conveyor belt according to the temperature data of the coal on the coal conveyor belt comprises: Obtain a preset grid, and segment the temperature distribution image of the coal conveyor belt according to the preset grid to obtain a plurality of segmented temperature distribution images; Acquire the temperature data of the coal in each segmented temperature distribution image, and correct the danger level of each segmented temperature distribution image according to the temperature data of the coal and the distance value between the coal and each temperature data point; The corrected segmented temperature distribution images are spliced ​​to obtain a corrected coal conveyor belt temperature distribution image.

6. The method for visually monitoring the temperature of a coal conveyor belt according to claim 5, characterized in that: The method of correcting the danger level of each segmented temperature distribution image according to the temperature data of the coal and the distance value between the coal and each temperature data point includes: Calculate the correction coefficient of the danger level of the segmented temperature distribution image based on the correction coefficient calculation formula according to the temperature data of the coal and the distance value between the coal and each temperature data point; The danger level of each segmented temperature distribution image is corrected according to the correction coefficient. The correction coefficient calculation formula is specifically as follows: in, is the danger correction factor of the temperature data point, is the total amount of coal on the segmented temperature distribution image, is the preset standard distance value, is the distance between the ith coal and the temperature data point, is the temperature data of the i-th coal, To preset standard temperature data, is the preset range coefficient, is a natural exponential function.

7. The method for visually monitoring the temperature of a coal conveyor belt according to claim 6, characterized in that: The method of screening out a high temperature danger zone according to the corrected temperature distribution image of the coal conveyor belt and determining the early warning parameters of the coal conveyor belt according to the high temperature danger zone includes: Screen out data points in the corrected coal conveyor belt temperature distribution image whose danger level is greater than a preset danger level threshold, and determine the distribution area formed by the data points whose danger level is greater than the preset danger level threshold as a high temperature danger area; The area value of each high-temperature danger zone in the corrected coal conveyor belt temperature distribution image is obtained, and the proportion of the high-temperature danger zone in the corrected coal conveyor belt temperature distribution image is determined according to the area value of each high-temperature danger zone, and the proportion of the high-temperature danger zone is determined as the danger warning parameter of the coal conveyor belt.

8. The method for visually monitoring the temperature of a coal conveyor belt according to claim 7, characterized in that: Determining the coal conveyor belt warning level according to the warning parameters of the coal conveyor belt includes: Obtaining preset allowable danger warning parameters, and calculating the difference between the danger warning parameters of the coal conveyor belt and the preset allowable danger warning parameters; Determine whether the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than a third preset threshold value; if the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than the third preset threshold value, set the first warning level as the coal conveyor belt warning level; If the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is less than or equal to the third preset threshold, then determine whether the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than the fourth preset threshold; If the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is greater than the fourth preset threshold, the second warning level is set as the coal conveyor belt warning level; If the difference between the danger warning parameter of the coal conveyor belt and the preset allowable danger warning parameter is less than or equal to the fourth preset threshold, the third warning level is set as the coal conveyor belt warning level.

9. The method for visually monitoring the temperature of a coal conveyor belt according to claim 8, characterized in that: The step of marking the corrected coal conveyor belt temperature distribution image according to the coal conveyor belt warning level includes: When the coal conveyor belt warning level is the first warning level, a warning mark is made at the corresponding high temperature area of ​​the corrected coal conveyor belt temperature distribution image; When the coal conveyor belt warning level is the second warning level, a reminder mark is made at the corresponding high temperature area of ​​the corrected coal conveyor belt temperature distribution image; When the coal conveyor belt warning level is the third warning level, the corrected coal conveyor belt temperature distribution image is not marked.

10. A coal conveyor belt temperature visualization monitoring system, characterized in that: include: The first module is used to obtain the temperature data of the coal conveyor belt and draw a temperature distribution image of the coal conveyor belt according to the temperature data of the coal conveyor belt; The second module is used to obtain the temperature data of the coal on the coal conveyor belt, and to correct the temperature distribution image of the coal conveyor belt according to the temperature data of the coal on the coal conveyor belt to obtain a corrected visualized temperature distribution image of the coal conveyor belt; The third module is used to screen out the high temperature danger area according to the corrected temperature distribution image of the coal conveyor belt, and determine the early warning parameters of the coal conveyor belt according to the high temperature danger area; The fourth module is used to determine the coal conveyor belt warning level according to the coal conveyor belt warning parameters, and to mark the corrected coal conveyor belt temperature distribution image with warnings according to the coal conveyor belt warning level.

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