Coal preparation plant equipment health evaluation method and system based on scenario analysis

Abstract

The present invention discloses a method and system for evaluating the health of equipment in a coal preparation plant based on scenario analysis, and belongs to the field of electronic digital data processing. The present invention obtains operating data and coal preparation performance evaluation data of a screening device within a period, imports the operating data and coal preparation performance evaluation data of the screening device into a screening device abnormality analysis strategy to perform screening device abnormality analysis, imports the screening device abnormality analysis result into a screening device maintenance time prediction strategy to perform screening device maintenance time prediction, performs maintenance preparation according to the predicted screening device maintenance time, performs a comprehensive analysis on the coal preparation uniformity and coal preparation quality during the coal preparation process, and simultaneously comprehensively evaluates the coal preparation effect of the screening equipment by weighting the importance of the aperture of the comprehensive screening layer, and then comprehensively evaluates the health of the screening equipment by comprehensively evaluating the coal preparation quality and the operating conditions of the screening equipment, thereby improving the accuracy of the equipment health evaluation and the equipment safety.

Description

Technical Field

[0001] The invention belongs to the field of electronic digital data processing, and in particular relates to a method and system for evaluating the health of equipment in a coal preparation plant based on scene analysis. Background Art

[0002] Coal preparation plants use coal screening machines extensively to screen coal within a specific particle size range. Coal screening machines are a type of mechanical equipment specifically used to screen coal. They are mainly composed of screen plates, vibrators, spring systems, and control systems. The working principle is to feed the coal to be screened into the screen plate, and use the vibrator to generate high-frequency vibrations to make the coal pass through the screen holes on the screen plate for screening. Coal of different sizes and qualities will fall into different positions after passing through the screen holes according to their characteristics, thereby separating them;

[0003] During the operation of the coal screening machine, it is impossible to conduct a comprehensive analysis of the coal uniformity and quality of the coal screening process, and it is also impossible to conduct a comprehensive health assessment of the screening equipment based on the coal quality and the operation of the screening equipment, resulting in low accuracy in equipment health evaluation. Most of the existing technologies have the above problems.

[0004] The above patents all have the problems raised by this background technology. In order to solve the problems raised by this background technology, this application designs a coal preparation plant equipment health evaluation method and system based on scenario analysis. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention proposes a method and system for evaluating the health of coal preparation plant equipment based on scenario analysis.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for evaluating the health of coal preparation plant equipment based on scenario analysis, which comprises the following specific steps:

[0007] Obtain the operation data of the screening equipment and the coal preparation performance evaluation data within the cycle;

[0008] Obtain the operation data of the screening equipment and the coal preparation performance evaluation data and import them into the screening equipment abnormality analysis strategy to conduct screening equipment abnormality analysis;

[0009] Importing the abnormal analysis results of the screening equipment into the screening equipment maintenance time prediction strategy to predict the screening equipment maintenance time;

[0010] Make maintenance preparations based on the predicted maintenance time of the screening equipment.

[0011] As a preferred technical solution for the coal preparation plant equipment health evaluation method based on scenario analysis, the specific contents of the operation data of the screening equipment and the coal preparation performance evaluation data within the acquisition period are:

[0012] S11, obtaining operation data of the screening device within a set period, wherein the operation data includes vibration, temperature and pressure data of the screening device, and is stored in a first storage component, wherein the vibration data includes amplitude and frequency data of each layer;

[0013] S12. Obtain the coal preparation performance data of the screening equipment in a set period, wherein the coal preparation performance data includes the particle size distribution data of each layer of screening particle size, wherein the particle size distribution data is the coal preparation particle size data and standard particle size data of each coal preparation layer, and is stored in the second storage component.

[0014] As a preferred technical solution for the coal preparation plant equipment health evaluation method based on scenario analysis, the acquisition of operation data of the screening equipment and coal preparation performance data and importing them into the screening equipment abnormality analysis strategy for screening equipment abnormality analysis includes the following specific steps:

[0015] S21, obtaining the particle size distribution data of each layer of screening particle size of the screening device within a set period, and obtaining the standard particle size range data of each layer of screening particle size;

[0016] S22, obtaining the standard particle size range data of the corresponding screening layer and the particle size distribution data of the corresponding screening layer within a set period, importing the standard particle size range data of the corresponding screening layer and the particle size distribution data of the corresponding screening layer within a set period into the screening abnormal value calculation formula of the corresponding screening layer to calculate the screening abnormal value of the corresponding screening layer, wherein the screening abnormal value calculation formula of the i-th screening layer is: , where xij is the particle size of the jth coal particle in the i-th screening layer, xim is the median of the standard particle size range data corresponding to the i-th screening layer, a is the particle abnormality ratio coefficient, mi is the number of particles in the i-th screening layer, is the average particle size of the i-th screening layer, where xij-xim is the difference between the particle size of the j-th coal particle in the i-th screening layer and the median of the standard particle size range data corresponding to the i-th screening layer, is the deviation of the particle size of all coal particles in the i-th screening layer from the median of the standard particle size range data corresponding to the i-th screening layer, and The particle size uniformity corresponding to the i-th screening layer. Since the importance of deviation and particle size uniformity is different, the deviation is multiplied by the proportion coefficient a.

[0017] S23, obtaining the calculated screening abnormal values ​​of all screening layers, and importing the calculated screening abnormal values ​​of all screening layers into the overall coal preparation abnormal value calculation formula to calculate the overall coal preparation abnormal value, wherein the overall coal preparation abnormal value calculation formula is: , where n is the number of screening layers and zi is the aperture of the i-th screening layer.

[0018] Through this step, a comprehensive analysis is conducted on the coal preparation uniformity and quality in the coal preparation process. At the same time, the aperture of the comprehensive screening layer is weighted by importance to conduct a comprehensive evaluation of the coal preparation effect of the screening equipment, thereby improving the evaluation accuracy of the coal preparation effect of the screening equipment. The screening effect of the upper screening layer with a large aperture directly affects the screening effect of the lower screening layer.

[0019] As a preferred technical solution for the coal preparation plant equipment health evaluation method based on scenario analysis, the method of obtaining the operation data of the screening equipment and the coal preparation performance evaluation data and importing them into the screening equipment abnormality analysis strategy for performing screening equipment abnormality analysis also includes the following specific steps:

[0020] S24, obtaining the operation data of the screening equipment within the set period, and importing the operation data of the screening equipment within the set period into the equipment operation abnormal value calculation formula to calculate the equipment operation abnormal value, wherein the equipment operation abnormal value calculation formula is: , where T is the set cycle duration, M is the type of operating data, fc is the operating data ratio of the c-th screening device, vct is the operating data of the c-th screening device at time t, vcm is the standard value of the operating data of the c-th screening device at time t, and dt is the time integral;

[0021] S25, obtaining the calculated overall coal preparation abnormal value and equipment operation abnormal value and importing them into the screening equipment abnormal value calculation formula to calculate the screening equipment abnormal value, wherein the screening equipment abnormal value calculation formula is: ,in, is the abnormal proportion coefficient of coal preparation.

[0022] As a preferred technical solution of the coal preparation plant equipment health evaluation method based on scenario analysis, the method of importing the abnormal analysis results of the screening equipment into the screening equipment maintenance time prediction strategy to predict the screening equipment maintenance time includes the following specific contents:

[0023] S31, obtaining the calculated abnormal value of the screening equipment and comparing it with the set abnormal threshold of the screening equipment. If the calculated abnormal value of the screening equipment is greater than or equal to the set abnormal threshold of the screening equipment, immediately issue a coal preparation maintenance warning. If the calculated abnormal value of the screening equipment is less than the set abnormal threshold of the screening equipment, proceed to S32.

[0024] S32, obtain the abnormal value of the screening equipment in the previous cycle, the abnormal value of the screening equipment in this cycle and the abnormal threshold of the screening equipment, and substitute them into the maintenance time calculation formula to calculate the maintenance time, wherein the maintenance time calculation formula is: , where Xmz is the screening equipment abnormality threshold, Xmt is the screening equipment abnormality value of this cycle, Xm(t-1) is the screening equipment abnormality value of the previous cycle, and tm is the equipment operation time from the previous cycle to this cycle.

[0025] As a preferred technical solution of the coal preparation plant equipment health evaluation method based on scenario analysis, the maintenance preparation according to the predicted screening equipment maintenance time includes the following specific contents:

[0026] The obtained maintenance time is compared with the set maintenance time threshold. If the obtained maintenance time is less than or equal to the set maintenance time threshold, equipment maintenance preparation is performed; if the obtained maintenance time is greater than the set maintenance time threshold, equipment maintenance preparation is not performed.

[0027] A coal preparation plant equipment health evaluation system based on scenario analysis, which is implemented based on the above-mentioned coal preparation plant equipment health evaluation method based on scenario analysis, and specifically includes a data acquisition module, a screening equipment abnormality analysis module, a maintenance time prediction module, a maintenance preparation instruction issuance module and a control module;

[0028] Wherein, the data acquisition module is used to acquire the operation data of the screening equipment and the coal preparation performance evaluation data within the period;

[0029] The screening equipment abnormality analysis module is used to obtain the operation data of the screening equipment and the coal preparation performance evaluation data and import them into the screening equipment abnormality analysis strategy to perform screening equipment abnormality analysis;

[0030] The maintenance time prediction module is used to import the screening equipment abnormality analysis results into the screening equipment maintenance time prediction strategy to perform screening equipment maintenance time prediction;

[0031] The maintenance preparation instruction issuing module is used to perform maintenance preparation according to the predicted maintenance time of the screening equipment;

[0032] The control module is used for controlling the operation of the data acquisition module, the screening equipment abnormality analysis module, the maintenance time prediction module and the maintenance preparation instruction issuing module.

[0033] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0034] The processor executes the above-mentioned coal preparation plant equipment health assessment method based on scenario analysis by calling the computer program stored in the memory.

[0035] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned method for evaluating the health of coal preparation plant equipment based on scenario analysis.

[0036] Compared with the prior art, the beneficial effects of this application are:

[0037] This application obtains the operating data and coal preparation performance evaluation data of the screening equipment within the cycle, imports the operating data and coal preparation performance evaluation data of the screening equipment into the screening equipment abnormality analysis strategy to perform screening equipment abnormality analysis, imports the screening equipment abnormality analysis results into the screening equipment maintenance time prediction strategy to perform screening equipment maintenance time prediction, makes maintenance preparations according to the predicted screening equipment maintenance time, conducts a comprehensive analysis of the coal preparation uniformity and coal preparation quality during the coal preparation process, and simultaneously conducts a comprehensive evaluation of the coal preparation effect of the screening equipment by weighting the importance of the aperture of the comprehensive screening layer, and then conducts a comprehensive health evaluation of the screening equipment by comprehensively considering the coal preparation quality and the operating conditions of the screening equipment, thereby improving the accuracy of equipment health evaluation and equipment safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the overall process of the coal preparation plant equipment health evaluation method based on scenario analysis of the present invention;

[0039] Figure 2 It is a schematic diagram of step S2 of the method for health assessment of coal preparation plant equipment based on scenario analysis of the present invention;

[0040] Figure 3 It is a schematic diagram of the overall framework of the coal preparation plant equipment health evaluation system based on scenario analysis of the present invention;

[0041] Figure 4 It is a schematic diagram of particle size distribution analysis of the present invention;

[0042] Figure 5 This is a schematic diagram of a usage scenario of the device of the present invention.

[0043] In the figure: 1. Screening layer; 2. Output platform; 3. Image acquisition terminal. DETAILED DESCRIPTION

[0044] 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. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0045] Example 1

[0046] The application scenarios of this embodiment are: Figure 5 As shown, during the screening process, multiple screening layers 1 with different apertures vibrate to separate the coal into different particle sizes, which slide down to the output platform 2 and gather, and the image acquisition terminal 3 collects images of the coal on different output platforms 2 after separation;

[0047] To solve the technical problem raised in the background technology: when performing multi-stage screening, it is impossible to comprehensively analyze the coal preparation uniformity and coal preparation quality in the coal preparation process, and it is impossible to comprehensively evaluate the health of the screening equipment by combining the coal preparation quality and the operation status of the screening equipment, resulting in low accuracy of equipment health evaluation; the present invention provides a preferred embodiment: Figure 1-Figure 2 As shown in the figure, the coal preparation plant equipment health evaluation method based on scenario analysis includes the following specific steps:

[0048] S1. Obtaining the operation data of the screening equipment and the coal preparation performance evaluation data within the period;

[0049] In this embodiment, the specific contents of obtaining the operation data of the screening equipment and the coal preparation performance evaluation data within the period are:

[0050] S11, obtaining operation data of the screening device within a set period, wherein the operation data includes vibration, temperature and pressure data of the screening device, and is stored in a first storage component, wherein the vibration data includes amplitude and frequency data of each layer;

[0051] S12, obtaining coal preparation performance data of the screening equipment in a set period, wherein the coal preparation performance data includes particle size distribution data of screening particle sizes of each layer, wherein the particle size distribution data is particle size data and standard particle size data of coal preparation particles of each coal preparation layer, and is stored in a second storage component;

[0052] like Figure 4 As shown, the image particle size analysis method can be used to obtain the particle size distribution of coal through images. The following are the general steps for obtaining the particle size distribution of coal through images:

[0053] S121. Image acquisition: First, it is necessary to acquire an image of the coal sample to ensure that the image is clear and can capture the details of the coal particles;

[0054] S122, preprocessing: preprocessing the collected images, including operations such as denoising and contrast enhancement, to improve image quality and facilitate subsequent particle size analysis;

[0055] S123, edge detection: using edge detection algorithms in image processing technology, such as the Canny edge detection algorithm, to identify the edges of coal particles. Edge detection can help us determine the outline and shape of particles;

[0056] S124, particle size measurement: based on the edge detection result, the particle size of each particle can be measured; the particle size can be obtained by calculating the diameter, area or other relevant parameters of the particle;

[0057] The sample code is as follows: import cv2

[0058] import numpy as np

[0059] # Read coal particle image

[0060] image = cv2.imread('coal_particles.jpg', 0) # Assuming the image is a grayscale image, 0 means reading in grayscale mode

[0061] # Apply Gaussian blur to reduce image noise

[0062] blurred = cv2.GaussianBlur(image, (5, 5), 0)

[0063] # Apply Canny edge detection

[0064] edges = cv2.Canny(blurred, 50, 150)

[0065] # Find edge contours

[0066] contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

[0067] # List of storage granularities

[0068] particle_sizes = []

[0069] # Traverse each contour (ie each particle)

[0070] for contour in contours:

[0071] # Calculate the bounding box of the contour

[0072] x, y, w, h = cv2.boundingRect(contour)

[0073] # The particle size can be approximated by calculating the area of ​​the particle (assuming the particle is approximately circular or elliptical)

[0074] # You can also calculate the equivalent diameter, equivalent diameter = sqrt(4 * area / π)

[0075] area = w * h

[0076] equivalent_diameter = np.sqrt(4 * area / np.pi)

[0077] # Add granularity to the list

[0078] particle_sizes.append(equivalent_diameter)

[0079] # Output particle size distribution

[0080] for size in particle_sizes:

[0081] print(f"Particle Size: {size:2f} pixels")

[0082] # Visualize the results

[0083] cv2.imshow('Original Image', image)

[0084] cv2.imshow('Edges', edges)

[0085] cv2.waitKey(0)

[0086] cv2.destroyAllWindows()

[0087] S125. Particle size distribution statistics: The measured particle size data is statistically analyzed to obtain the particle size distribution. A particle size distribution curve or a histogram can be drawn to intuitively display the particle size distribution.

[0088] S2. Obtaining the operation data of the screening equipment and the coal preparation performance evaluation data and importing them into the screening equipment abnormality analysis strategy to perform screening equipment abnormality analysis;

[0089] In this embodiment, obtaining the operation data of the screening equipment and the coal preparation performance data and importing them into the screening equipment abnormality analysis strategy to perform screening equipment abnormality analysis includes the following specific steps:

[0090] S21, obtaining the particle size distribution data of each layer of screening particle size of the screening device within a set period, and obtaining the standard particle size range data of each layer of screening particle size;

[0091] S22, obtaining the standard particle size range data of the corresponding screening layer and the particle size distribution data of the corresponding screening layer within a set period, importing the standard particle size range data of the corresponding screening layer and the particle size distribution data of the corresponding screening layer within a set period into the screening abnormal value calculation formula of the corresponding screening layer to calculate the screening abnormal value of the corresponding screening layer, wherein the screening abnormal value calculation formula of the i-th screening layer is: , where xij is the particle size of the jth coal particle in the i-th screening layer, xim is the median of the standard particle size range data corresponding to the i-th screening layer, a is the particle abnormality ratio coefficient, mi is the number of particles in the i-th screening layer, is the average particle size of the i-th screening layer, where xij-xim is the difference between the particle size of the j-th coal particle in the i-th screening layer and the median of the standard particle size range data corresponding to the i-th screening layer, is the deviation of the particle size of all coal particles in the i-th screening layer from the median of the standard particle size range data corresponding to the i-th screening layer, and The particle size uniformity corresponding to the i-th screening layer. Since the importance of deviation and particle size uniformity is different, the deviation is multiplied by the proportion coefficient a.

[0092] S23, obtaining the calculated screening abnormal values ​​of all screening layers, and importing the calculated screening abnormal values ​​of all screening layers into the overall coal preparation abnormal value calculation formula to calculate the overall coal preparation abnormal value, wherein the overall coal preparation abnormal value calculation formula is: , where n is the number of screening layers, and zi is the aperture of the i-th screening layer;

[0093] Through this step, the coal preparation uniformity and coal preparation quality in the coal preparation process are comprehensively analyzed, and the importance of the aperture of the comprehensive screening layer is weighted to comprehensively evaluate the coal preparation effect of the screening equipment, thereby improving the evaluation accuracy of the coal preparation effect of the screening equipment. The screening effect of the upper screening layer with a large aperture directly affects the screening effect of the lower screening layer;

[0094] S24, obtaining the operation data of the screening equipment within the set period, and importing the operation data of the screening equipment within the set period into the equipment operation abnormal value calculation formula to calculate the equipment operation abnormal value, wherein the equipment operation abnormal value calculation formula is: , where T is the set cycle duration, M is the type of operating data, fc is the operating data ratio of the c-th screening device, vct is the operating data of the c-th screening device at time t, vcm is the standard value of the operating data of the c-th screening device at time t, and dt is the time integral;

[0095] S25, obtaining the calculated overall coal preparation abnormal value and equipment operation abnormal value and importing them into the screening equipment abnormal value calculation formula to calculate the screening equipment abnormal value, wherein the screening equipment abnormal value calculation formula is: ,in, is the abnormal proportion coefficient of coal preparation;

[0096] In this step, the coal preparation uniformity and coal preparation quality in the coal preparation process are comprehensively analyzed, and the importance of the aperture of the screening layer is weighted to comprehensively evaluate the coal preparation effect of the screening equipment. Then, the health of the screening equipment is comprehensively evaluated based on the coal preparation quality and the operation of the screening equipment.

[0097] S3, importing the screening equipment abnormality analysis results into the screening equipment maintenance time prediction strategy to predict the screening equipment maintenance time;

[0098] In this embodiment, the screening equipment abnormality analysis results are imported into the screening equipment maintenance time prediction strategy to predict the screening equipment maintenance time, including the following specific contents:

[0099] S31, obtaining the calculated abnormal value of the screening equipment and comparing it with the set abnormal threshold of the screening equipment. If the calculated abnormal value of the screening equipment is greater than or equal to the set abnormal threshold of the screening equipment, immediately issue a coal preparation maintenance warning. If the calculated abnormal value of the screening equipment is less than the set abnormal threshold of the screening equipment, proceed to S32.

[0100] S32, obtain the abnormal value of the screening equipment in the previous cycle, the abnormal value of the screening equipment in this cycle and the abnormal threshold of the screening equipment, and substitute them into the maintenance time calculation formula to calculate the maintenance time, wherein the maintenance time calculation formula is: , where Xmz is the screening equipment abnormality threshold, Xmt is the screening equipment abnormality value of this cycle, Xm(t-1) is the screening equipment abnormality value of the previous cycle, and tm is the equipment operation time from the previous cycle to this cycle;

[0101] S4. Prepare for maintenance according to the predicted maintenance time of the screening equipment;

[0102] In this embodiment, the maintenance preparation according to the predicted maintenance time of the screening equipment includes the following specific contents:

[0103] The obtained maintenance time is compared with the set maintenance time threshold. If the obtained maintenance time is less than or equal to the set maintenance time threshold, equipment maintenance preparation is performed; if the obtained maintenance time is greater than the set maintenance time threshold, equipment maintenance preparation is not performed.

[0104] It should be noted here that the particle abnormality ratio coefficient, the operating data ratio coefficient of the cth screening equipment, the coal preparation abnormality ratio coefficient, the screening equipment abnormality threshold and the maintenance time threshold can be obtained by fitting or expert scoring. The preferred acquisition method here is: obtain 500 groups of screening equipment operating data and coal preparation performance evaluation data and substitute them into the maintenance time calculation formula to calculate the maintenance time, and at the same time obtain the result of whether the equipment fails within the period after the maintenance time, obtain the maintenance time and the judgment result of whether the equipment fails within the period after the maintenance time, import them into the fitting software, and output the values ​​of the particle abnormality ratio coefficient, the operating data ratio coefficient of the cth screening equipment, the coal preparation abnormality ratio coefficient, the screening equipment abnormality threshold and the maintenance time threshold that meet the judgment accuracy of whether the equipment fails within the period after the maximum maintenance time.

[0105] The advantages of this embodiment over the prior art are as follows: obtaining the operating data and coal preparation performance evaluation data of the screening equipment within a period, importing the operating data and coal preparation performance evaluation data of the screening equipment into the screening equipment abnormality analysis strategy to perform screening equipment abnormality analysis, importing the screening equipment abnormality analysis results into the screening equipment maintenance time prediction strategy to perform screening equipment maintenance time prediction, making maintenance preparations according to the predicted screening equipment maintenance time, conducting a comprehensive analysis of the coal preparation uniformity and coal preparation quality during the coal preparation process, and at the same time conducting a comprehensive evaluation of the coal preparation effect of the screening equipment by weighting the importance of the aperture of the comprehensive screening layer, and then conducting a comprehensive health evaluation of the screening equipment by comprehensively evaluating the coal preparation quality and the operating conditions of the screening equipment, thereby improving the accuracy of equipment health evaluation and equipment safety.

[0106] Example 2

[0107] like Figure 3 As shown, a coal preparation plant equipment health evaluation system based on scenario analysis is implemented based on the above-mentioned coal preparation plant equipment health evaluation method based on scenario analysis, and specifically includes a data acquisition module, a screening equipment abnormality analysis module, a maintenance time prediction module, a maintenance preparation instruction issuing module and a control module; wherein the data acquisition module is used to acquire the operation data and coal preparation performance evaluation data of the screening equipment within a period, and the data acquisition module transmits the acquired data to the screening equipment abnormality analysis module and the maintenance time prediction module; the screening equipment abnormality analysis module is used to acquire the operation data and coal preparation performance evaluation data of the screening equipment and import them into the screening equipment abnormality analysis strategy to perform screening equipment abnormality analysis; the maintenance time prediction module is used to import the screening equipment abnormality analysis results into the screening equipment maintenance time prediction strategy to perform screening equipment maintenance time prediction; the maintenance preparation instruction issuing module is used to perform maintenance preparation according to the predicted screening equipment maintenance time; the control module is used to control the operation of the data acquisition module, the screening equipment abnormality analysis module, the maintenance time prediction module and the maintenance preparation instruction issuing module.

[0108] Example 3

[0109] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0110] The processor executes the above-mentioned coal preparation plant equipment health assessment method based on scenario analysis by calling the computer program stored in the memory.

[0111] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the coal preparation plant equipment health assessment method based on scenario analysis provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0112] Example 4

[0113] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0114] When the computer program runs on a computer device, the computer device executes the above-mentioned coal preparation plant equipment health assessment method based on scenario analysis.

[0115] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0116] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A method for evaluating the health of coal preparation plant equipment based on scenario analysis, characterized in that: It includes the following specific steps: Obtain the operation data of the screening equipment and the coal preparation performance evaluation data within the cycle; Obtain the operation data of the screening equipment and the coal preparation performance evaluation data and import them into the screening equipment abnormality analysis strategy to conduct screening equipment abnormality analysis; Importing the abnormal analysis results of the screening equipment into the screening equipment maintenance time prediction strategy to predict the screening equipment maintenance time; Make maintenance preparations based on the predicted maintenance time of the screening equipment; The method of obtaining the operation data of the screening equipment and the coal preparation performance data and importing them into the screening equipment abnormality analysis strategy to perform the screening equipment abnormality analysis includes the following specific steps: S21, obtaining the particle size distribution data of each layer of screening particle size of the screening device within a set period, and obtaining the standard particle size range data of each layer of screening particle size; S22, obtaining the standard particle size range data of the corresponding screening layer and the particle size distribution data of the corresponding screening layer within a set period, importing the standard particle size range data of the corresponding screening layer and the particle size distribution data of the corresponding screening layer within a set period into the screening abnormal value calculation formula of the corresponding screening layer to calculate the screening abnormal value of the corresponding screening layer, wherein the screening abnormal value calculation formula of the i-th screening layer is: , where xij is the particle size of the jth coal particle in the i-th screening layer, xim is the median of the standard particle size range data corresponding to the i-th screening layer, a is the particle abnormality ratio coefficient, mi is the number of particles in the i-th screening layer, is the average particle size of the i-th screening layer; S23, obtaining the calculated screening abnormal values ​​of all screening layers, and importing the calculated screening abnormal values ​​of all screening layers into the overall coal preparation abnormal value calculation formula to calculate the overall coal preparation abnormal value, wherein the overall coal preparation abnormal value calculation formula is: , where n is the number of screening layers, and zi is the aperture of the i-th screening layer; The method of obtaining the operation data of the screening equipment and the coal preparation performance evaluation data and importing them into the screening equipment abnormality analysis strategy to perform the screening equipment abnormality analysis also includes the following specific steps: S24, obtaining the operation data of the screening equipment within the set period, and importing the operation data of the screening equipment within the set period into the equipment operation abnormal value calculation formula to calculate the equipment operation abnormal value, wherein the equipment operation abnormal value calculation formula is: , where T is the set cycle duration, M is the type of operating data, fc is the operating data ratio of the c-th screening device, vct is the operating data of the c-th screening device at time t, vcm is the standard value of the operating data of the c-th screening device at time t, and dt is the time integral; S25. Obtain the calculated overall coal preparation abnormal value and equipment operation abnormal value, and import them into the screening equipment abnormal value calculation formula to calculate the screening equipment abnormal value, wherein the screening equipment abnormal value calculation formula is: ,in, is the abnormal proportion coefficient of coal preparation; The method of importing the abnormal analysis results of the screening equipment into the screening equipment maintenance time prediction strategy to predict the screening equipment maintenance time includes the following specific contents: S31, obtaining the calculated abnormal value of the screening equipment and comparing it with the set abnormal threshold of the screening equipment. If the calculated abnormal value of the screening equipment is greater than or equal to the set abnormal threshold of the screening equipment, immediately issue a coal preparation maintenance warning. If the calculated abnormal value of the screening equipment is less than the set abnormal threshold of the screening equipment, proceed to S32. S32, obtain the abnormal value of the screening equipment in the previous cycle, the abnormal value of the screening equipment in this cycle and the abnormal threshold of the screening equipment, and substitute them into the maintenance time calculation formula to calculate the maintenance time, wherein the maintenance time calculation formula is: , where Xmz is the screening equipment abnormality threshold, Xmt is the screening equipment abnormality value of this cycle, Xm(t-1) is the screening equipment abnormality value of the previous cycle, and tm is the equipment operation time from the previous cycle to this cycle.

2. The method for evaluating the health of coal preparation plant equipment based on scenario analysis according to claim 1, characterized in that: The maintenance preparation according to the predicted maintenance time of the screening equipment includes the following specific contents: The obtained maintenance time is compared with the set maintenance time threshold. If the obtained maintenance time is less than or equal to the set maintenance time threshold, equipment maintenance preparation is performed; if the obtained maintenance time is greater than the set maintenance time threshold, equipment maintenance preparation is not performed.

3. The method for evaluating the health of coal preparation plant equipment based on scenario analysis according to claim 2, characterized in that: The specific contents of the operation data of the screening equipment and the coal preparation performance evaluation data within the acquisition period are: S11, obtaining operation data of the screening equipment within a set period, wherein the operation data includes vibration, temperature and pressure data of the screening equipment, and storing the data in the first storage component; S12. Obtain the coal preparation performance data of the screening equipment in a set period, wherein the coal preparation performance data includes the particle size distribution data of each layer of screening particle size, wherein the particle size distribution data is the coal preparation particle size data and standard particle size data of each coal preparation layer, and is stored in the second storage component.

4. A coal preparation plant equipment health evaluation system based on scenario analysis, which is implemented based on the coal preparation plant equipment health evaluation method based on scenario analysis as claimed in any one of claims 1 to 3, and is characterized in that: It specifically includes a data acquisition module, a screening equipment abnormality analysis module, a maintenance time prediction module, a maintenance preparation instruction issuance module and a control module; Wherein, the data acquisition module is used to acquire the operation data of the screening equipment and the coal preparation performance evaluation data within the period; The screening equipment abnormality analysis module is used to obtain the operation data of the screening equipment and the coal preparation performance evaluation data and import them into the screening equipment abnormality analysis strategy to perform screening equipment abnormality analysis; The maintenance time prediction module is used to import the screening equipment abnormality analysis results into the screening equipment maintenance time prediction strategy to perform screening equipment maintenance time prediction; The maintenance preparation instruction issuing module is used to perform maintenance preparation according to the predicted maintenance time of the screening equipment; The control module is used for controlling the operation of the data acquisition module, the screening equipment abnormality analysis module, the maintenance time prediction module and the maintenance preparation instruction issuing module.

5. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the coal preparation plant equipment health assessment method based on scenario analysis as described in any one of claims 1 to 3 by calling the computer program stored in the memory.

6. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes the method for evaluating the health of coal preparation plant equipment based on scenario analysis as described in any one of claims 1 to 3.

Images