Cloth bag dust collecting device and control system thereof

Abstract

The invention relates to the technical field of cloth bag dust collection devices, and discloses a cloth bag dust collection device and a control system thereof, the cloth bag dust collection device comprises: a type module, used for determining a corresponding dust discharge type according to working parameters of a current power plant boiler; the threshold module is used for determining a clustering partition corresponding to the dust discharge type according to the ash amount, the ammonia content and the dust fineness of the dust discharged by the historical power plant boiler, and setting a filtering threshold according to the clustering partition of the dust discharge type; the efficiency module is used for determining the dust removal efficiency of the current cloth bag dust collection device according to the average pressure value of the cloth bags in the current cloth bag dust collection device; and the reverse blowing module is used for determining the state value of the current cloth bag dust collecting device according to the dust removing efficiency of the current cloth bag dust collecting device and the corresponding filtering threshold value, and determining the reverse blowing period according to the state value of the current cloth bag dust collecting device. The working state of the cloth bag dust collection device can be detected in real time, the reverse blowing period is accurately set, and reliable operation of dust collection is guaranteed.

Description

Technical Field

[0001] The present application relates to the technical field of bag dust collection devices, and more specifically, to a bag dust collection device and its control system. Background Art

[0002] A bag dust collection device is a dry dust collection device, which is suitable for capturing fine, dry and non-fibrous dust. The filter bag is made of woven filter cloth or non-woven felt, and the fibrous fabric is used to filter the dust-containing gas. When the dust-containing gas enters the bag filter, dust with large particles and high specific gravity settles down due to the action of gravity and falls into the ash hopper. When the gas containing finer dust passes through the filter material, the dust is retained and the gas is purified.

[0003] The bag back-blowing frequency of the existing bag dust collection device is a crucial factor. If the back-blowing period is too short, the long-term high-frequency blowing of the bag will reduce the service life of the bag and cause the bag to be damaged. If the period is too long, the ash accumulation layer on the bag will be too thick, reducing the bag efficiency. Summary of the Invention

[0004] The present invention provides a bag dust collection device and its control system to solve the problem that the back-blowing period of the bag dust collection device in the prior art cannot be accurately set, including: A type module, configured to obtain the working parameters of the current power plant boiler, and determine the corresponding dust emission type according to the working parameters of the current power plant boiler; A threshold module, configured to obtain the ash amount, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, determine the clustering partition corresponding to the dust emission type according to the ash amount, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, and set a filtering threshold according to the clustering partition of the dust emission type; An efficiency module, configured to obtain the average pressure value of the bags in the current bag dust collection device, and determine the dust removal efficiency of the current bag dust collection device according to the average pressure value of the bags in the current bag dust collection device; A back-blowing module, configured to determine the status value of the current bag dust collection device according to the dust removal efficiency of the current bag dust collection device and the corresponding filtering threshold, and determine the back-blowing period according to the status value of the current bag dust collection device.

[0005] Further, the type module determines the corresponding dust emission type according to the working parameters of the current power plant boiler, including: Obtaining the working parameters of the historical power plant boiler and the corresponding dust emission types, and preprocessing the working parameters of the historical power plant boiler and the corresponding dust emission types; Establishing a data set according to the preprocessed working parameters of the historical power plant boiler and the corresponding dust emission types, and establishing a dust type evaluation model according to the data set; Train the dust type evaluation model according to the data set to obtain the final dust type evaluation model; Input the working parameters of the current power plant boiler into the final dust type evaluation model to obtain the dust emission type of the current power plant boiler.

[0006] Furthermore, the threshold module determines the clustering partition corresponding to the dust emission type according to the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, including: Obtain the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, establish a sample data set according to the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, and randomly select k initial clustering centers of the sample data set; Calculate the Euclidean distance from the sample data in the sample data set to the initial clustering center, and divide each sample data into the corresponding clustering partition according to the Euclidean distance from the sample data in the sample data set to the initial clustering center; Calculate the average value of the sample data in each clustering partition, and recalculate the clustering center according to the average value of the sample data in each clustering partition; Repeat the above steps iteratively until the clustering center no longer changes or the number of iterations reaches the preset maximum number of iterations to obtain the clustering result of the sample data; Determine the clustering partition to which the dust emission type of the current power plant boiler belongs according to the clustering result of the sample data.

[0007] Furthermore, the threshold module sets the filtering threshold according to the clustering partition of the dust emission type, including: Determine the corresponding clustering center value according to the clustering partition of the dust emission type, and calculate the ratio of the clustering center value to the preset standard clustering value; Perform normalization processing on the ratio of the clustering center value to the preset standard clustering value, and set the filtering threshold of the corresponding clustering partition according to the ratio of the clustering center value to the preset standard clustering value after normalization processing.

[0008] Furthermore, the efficiency module determines the dust removal efficiency of the current bag dust collection device according to the average pressure value of the bags in the current bag dust collection device, including: Draw the pressure change curve of the current bag dust collection device within a preset period according to the average pressure value of the bags in the current bag dust collection device, and divide the pressure change curve according to the preset rolling time window to obtain several sub-pressure change curves; Calculate the absolute value of the slope of each sub-pressure change curve, and count the time values corresponding to when the absolute value of the slope is less than the preset standard absolute value of the slope to obtain the first efficiency coefficient; Calculate the average value of the absolute values of the slopes of all sub-pressure change curves to obtain the second efficiency coefficient, and determine the dust removal efficiency of the current bag dust collection device according to the first efficiency coefficient and the second efficiency coefficient.

[0009] Further, the determining the dust removal efficiency of the current bag dust collection device according to the first efficiency coefficient and the second efficiency coefficient includes: Calculate the dust removal efficiency based on the first efficiency coefficient and the second efficiency coefficient according to the dust removal efficiency calculation formula, and the specific dust removal efficiency calculation formula is , where is the dust removal efficiency, is the first efficiency coefficient, is the first preset standard efficiency coefficient, is the second efficiency coefficient, is the second preset standard efficiency coefficient, is the natural exponential function.

[0010] Further, the determining the state value of the current bag dust collection device by the backwashing module according to the dust removal efficiency of the current bag dust collection device and the corresponding filtration threshold includes: Calculate the difference between the dust removal efficiency of the current bag dust collection device and the corresponding dust partition filtration threshold to obtain the state coefficient of the bag dust collection device; Judge whether the state coefficient of the bag dust collection device is greater than the first preset threshold. If the state coefficient of the bag dust collection device is greater than the first preset threshold, set the first state value as the state value of the current bag dust collection device; If the state coefficient of the bag dust collection device is less than or equal to the first preset threshold, judge whether the state coefficient of the bag dust collection device is greater than the second preset threshold; If the state coefficient of the bag dust collection device is greater than the second preset threshold, set the second state value as the state value of the current bag dust collection device; If the state coefficient of the bag dust collection device is less than or equal to the second preset threshold, set the third state value as the state value of the current bag dust collection device.

[0011] Further, the determining the backwashing period by the backwashing module according to the state value of the current bag dust collection device includes: If the state value of the current bag dust collection device is the third state value, count the change situation of the state coefficient of the current bag dust collection device, and draw a state coefficient change curve according to the change situation of the state coefficient of the current bag dust collection device; Perform curve fitting on the state coefficient change curve to obtain a state coefficient prediction curve; Obtain a preset allowable state coefficient, count the time required for the state coefficient in the state coefficient prediction curve to reach the preset allowable state coefficient, and determine the backflush period of the cloth bag dust collection device according to the time required for the state coefficient in the state coefficient prediction curve to reach the preset allowable state coefficient.

[0012] Furthermore, it also includes: A reminder module, which is used to obtain the backflush pressure change curve of the cloth bag when the cloth bag dust collection device performs backflush, divide the backflush pressure change curve according to a preset rolling time window to obtain several sub-backflush pressure change curves; Calculate the absolute value of the slope of each sub-backflush pressure change curve, and count the number of sub-backflush pressure change curves whose absolute value of the slope is greater than the preset standard backflush slope value; Judge whether the number of sub-backflush pressure change curves whose absolute value of the slope is greater than the preset standard backflush slope value is less than the third preset threshold. If the number of sub-backflush pressure change curves whose absolute value of the slope is greater than the preset standard backflush slope value is less than the third preset threshold, a reminder for cloth bag replacement is given.

[0013] Furthermore, a cloth bag dust collection device includes a device integrating the control system of the above-mentioned cloth bag dust collection device.

[0014] The beneficial effects of the present invention are as follows: By applying the above technical solutions, the present invention judges the state of the dust collection device according to the dust type of the power plant boiler and the real-time pressure value of the dust collection device, and sets the backflush period based on the state value. By real-time detecting the working state of the cloth bag dust collection device, the backflush period is accurately set to ensure the reliable operation of dust collection. Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those skilled in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0016] Figure 1 Shows the overall structure diagram of the control system of a cloth bag dust collection device proposed in an embodiment of the present invention. Detailed Embodiments

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0018] An embodiment of the present application provides a control system for a cloth bag dust collection device, as Figure 1 shown, including: A type module, configured to obtain the working parameters of the current power plant boiler and determine the corresponding dust emission type according to the working parameters of the current power plant boiler; a threshold module, configured to obtain the ash amount, ammonia content, and dust fineness of the dust emitted by the historical power plant boiler, determine the clustering partition corresponding to the dust emission type according to the ash amount, ammonia content, and dust fineness of the dust emitted by the historical power plant boiler, and set a filtering threshold according to the clustering partition of the dust emission type; an efficiency module, configured to obtain the average pressure value of the cloth bags in the current cloth bag dust collection device and determine the dust removal efficiency of the current cloth bag dust collection device according to the average pressure value of the cloth bags in the current cloth bag dust collection device; a backwashing module, configured to determine the status value of the current cloth bag dust collection device according to the dust removal efficiency of the current cloth bag dust collection device and the corresponding filtering threshold, and determine the backwashing period according to the status value of the current cloth bag dust collection device.

[0019] In this embodiment, the working parameters of the power plant boiler include boiler load, combustion temperature, and coal type. Pressure sensors are arranged at each cloth bag in the cloth bag dust collection device to realize real-time acquisition of the pressure value of the cloth bag dust collection device, so as to realize accurate setting of the backwashing period.

[0020] In some embodiments of the present application, the type module determines the corresponding dust emission type according to the working parameters of the current power plant boiler, including: obtaining the working parameters and corresponding dust emission types of the historical power plant boiler, and preprocessing the working parameters and corresponding dust emission types of the historical power plant boiler; establishing a data set according to the preprocessed working parameters and corresponding dust emission types of the historical power plant boiler, and establishing a dust type evaluation model according to the data set; training the dust type evaluation model according to the data set to obtain a final dust type evaluation model; inputting the working parameters of the current power plant boiler into the final dust type evaluation model to obtain the dust emission type of the current power plant boiler.

[0021] In this embodiment, the dust type evaluation model is trained through a deep learning neural network model, so as to output the dust emission type of the current power plant boiler through the working parameters of the power plant boiler.

[0022] In some embodiments of the present application, the threshold module determines the clustering partition corresponding to the dust emission type according to the ash content, ammonia content, and dust fineness of the dust emitted by the historical power plant boiler, including: obtaining the ash content, ammonia content, and dust fineness of the dust emitted by the historical power plant boiler, establishing a sample data set according to the ash content, ammonia content, and dust fineness of the dust emitted by the historical power plant boiler, and randomly selecting k initial clustering centers of the sample data set; calculating the Euclidean distance from the sample data in the sample data set to the initial clustering centers, and dividing each sample data into the corresponding clustering partition according to the Euclidean distance from the sample data in the sample data set to the initial clustering centers; calculating the average value of the sample data in each clustering partition, and recalculating the clustering centers according to the average value of the sample data in each clustering partition; repeating the above steps iteratively until the clustering centers no longer change or the number of iterations reaches the preset maximum number of iterations, obtaining the clustering result of the sample data; and determining the clustering partition to which the dust emission type of the current power plant boiler belongs according to the clustering result of the sample data.

[0023] In this embodiment, the ash content, ammonia content, and dust fineness corresponding to the type are determined through the dust emission type of the current power plant boiler, and the dust emission type of the current power plant boiler is divided into the clustering partition with the closest distance value according to the distances between the ash content, ammonia content, and dust fineness and the clustering centers of the corresponding clustering partitions.

[0024] In some embodiments of the present application, the threshold module sets a filtering threshold according to the clustering partition of the dust emission type, including: determining the corresponding clustering center value according to the clustering partition of the dust emission type, and calculating the ratio of the clustering center value to the preset standard clustering value; performing normalization processing on the ratio of the clustering center value to the preset standard clustering value, and setting the filtering threshold of the corresponding clustering partition according to the ratio of the clustering center value to the preset standard clustering value after the normalization processing.

[0025] In some embodiments of the present application, the efficiency module determines the dust removal efficiency of the current bag dust collection device according to the average pressure value of the bags in the current bag dust collection device, including: drawing a pressure change curve of the current bag dust collection device within a preset period according to the average pressure value of the bags in the current bag dust collection device, dividing the pressure change curve according to the preset rolling time window to obtain a plurality of sub-pressure change curves; calculating the absolute value of the slope of each sub-pressure change curve, counting the time values corresponding to when the absolute value of the slope is less than the preset standard absolute value of the slope, to obtain a first efficiency coefficient; calculating the average value of the absolute values of the slopes of all the sub-pressure change curves to obtain a second efficiency coefficient, and determining the dust removal efficiency of the current bag dust collection device according to the first efficiency coefficient and the second efficiency coefficient.

[0026] In this embodiment, when the cloth bag dust collection device is working normally, with the operation of the dust removal fan, more and more dust will be adsorbed on the outer surface of the cloth bag, resulting in a doubling of the cloth bag pressure. After the cloth bag is severely blocked, the pressure change tends to be gentle. Therefore, the dust removal efficiency of the cloth bag dust collection device is determined by the time value corresponding to the absolute value of the slope of the pressure change curve being less than the preset standard slope absolute value and the average value of the absolute values of the slopes of all sub-pressure change curves.

[0027] In some embodiments of the present application, the determining the dust removal efficiency of the current cloth bag dust collection device according to the first efficiency coefficient and the second efficiency coefficient includes: calculating the dust removal efficiency based on the dust removal efficiency calculation formula according to the first efficiency coefficient and the second efficiency coefficient. The specific dust removal efficiency calculation formula is , wherein, is the dust removal efficiency, is the first efficiency coefficient, is the first preset standard efficiency coefficient, is the second efficiency coefficient, is the second preset standard efficiency coefficient, is the natural exponential function.

[0028] In some embodiments of the present application, the back-blowing module determines the state value of the current cloth bag dust collection device according to the dust removal efficiency of the current cloth bag dust collection device and the corresponding filtration threshold, including: calculating the difference between the dust removal efficiency of the current cloth bag dust collection device and the corresponding dust partition filtration threshold to obtain the state coefficient of the cloth bag dust collection device; determining whether the state coefficient of the cloth bag dust collection device is greater than the first preset threshold. If the state coefficient of the cloth bag dust collection device is greater than the first preset threshold, setting the first state value as the state value of the current cloth bag dust collection device; if the state coefficient of the cloth bag dust collection device is less than or equal to the first preset threshold, determining whether the state coefficient of the cloth bag dust collection device is greater than the second preset threshold; if the state coefficient of the cloth bag dust collection device is greater than the second preset threshold, setting the second state value as the state value of the current cloth bag dust collection device; if the state coefficient of the cloth bag dust collection device is less than or equal to the second preset threshold, setting the third state value as the state value of the current cloth bag dust collection device.

[0029] In this embodiment, the state coefficient of the cloth bag dust collection device is obtained by the difference between the dust removal efficiency of the current cloth bag dust collection device and the corresponding dust partition filtration threshold, and the corresponding state value is set through the state coefficient of the cloth bag dust collection device. The higher the state coefficient, the higher the corresponding state value ranking.

[0030] In some embodiments of the present application, the backflush module determines the backflush period according to the status value of the current cloth bag dust collection device, including: if the status value of the current cloth bag dust collection device is the third status value, then count the change of the status coefficient of the current cloth bag dust collection device, and draw a status coefficient change curve according to the change of the status coefficient of the current cloth bag dust collection device; perform curve fitting on the status coefficient change curve to obtain a status coefficient prediction curve; obtain a preset allowable status coefficient, count the time required for the status coefficient in the status coefficient prediction curve to reach the preset allowable status coefficient, and determine the backflush period of the cloth bag dust collection device according to the time required for the status coefficient in the status coefficient prediction curve to reach the preset allowable status coefficient.

[0031] In this embodiment, when the status value of the current cloth bag dust collection device is the third status value, it indicates that the cloth bag of the cloth bag dust collection device is becoming severely blocked. Therefore, by drawing a real-time status coefficient change curve and performing curve fitting on the status coefficient change curve based on the least squares method, a status coefficient prediction curve is obtained. Furthermore, the backflush period of the cloth bag dust collection device is determined by the time required for the status coefficient in the status coefficient prediction curve to reach the preset allowable status coefficient.

[0032] In some embodiments of the present application, it further includes: a reminder module, which is used to obtain the backflush pressure change curve of the cloth bag when the cloth bag dust collection device performs backflush, divide the backflush pressure change curve according to a preset rolling time window to obtain a number of sub-backflush pressure change curves; calculate the absolute value of the slope of each sub-backflush pressure change curve, and count the number of sub-backflush pressure change curves whose absolute value of the slope is greater than the preset standard backflush slope value; determine whether the number of sub-backflush pressure change curves whose absolute value of the slope is greater than the preset standard backflush slope value is less than a third preset threshold. If the number of sub-backflush pressure change curves whose absolute value of the slope is greater than the preset standard backflush slope value is less than the third preset threshold, then a cloth bag replacement reminder is given.

[0033] In this embodiment, it is judged whether the cloth bag needs to be replaced by the backflush pressure change curve of the cloth bag during backflush. When the high pressure change value of the backflush pressure change curve is less than the third preset threshold, it is judged that the cloth bag needs to be replaced and a reminder is issued.

[0034] This embodiment also provides a cloth bag dust collection device, which integrates the equipment of the control system of the above-mentioned cloth bag dust collection device.

[0035] By applying the above technical solutions, the present invention includes a type module for determining the corresponding dust emission type according to the working parameters of the current power plant boiler; a threshold module for determining the clustering partition corresponding to the dust emission type according to the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, and setting a filtration threshold according to the clustering partition of the dust emission type; an efficiency module for determining the dust removal efficiency of the current bag dust collection device according to the average pressure value of the bags in the current bag dust collection device; and a backflush module for determining the status value of the current bag dust collection device according to the dust removal efficiency of the current bag dust collection device and the corresponding filtration threshold, and determining the backflush period according to the status value of the current bag dust collection device. The present invention can detect the working status of the bag dust collection device in real time, accurately set the backflush period, and ensure the reliable operation of dust collection.

[0036] Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by hardware or by means of 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 several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various implementation scenarios of the present invention.

[0037] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and 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 various embodiments of the present application.

Claims

1. A control system for a cloth bag dust collection device, characterized in that, Including: A type module, which is used to obtain the working parameters of the current power plant boiler and determine the corresponding dust emission type according to the working parameters of the current power plant boiler; A threshold module, which is used to obtain the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, determine the clustering partition corresponding to the dust emission type according to the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, and set the filtration threshold according to the clustering partition of the dust emission type; An efficiency module, which is used to obtain the average pressure value of the filter bags in the current bag dust collection device and determine the dust removal efficiency of the current bag dust collection device according to the average pressure value of the filter bags in the current bag dust collection device; A backwashing module, which is used to determine the status value of the current bag dust collection device according to the dust removal efficiency of the current bag dust collection device and the corresponding filtration threshold, and determine the backwashing period according to the status value of the current bag dust collection device.

2. The control system of the cloth bag dust collection device according to claim 1, characterized in that The type module determines the corresponding dust emission type according to the working parameters of the current power plant boiler, including: Obtaining the working parameters of the historical power plant boiler and the corresponding dust emission types, and preprocessing the working parameters of the historical power plant boiler and the corresponding dust emission types; Establishing a data set according to the preprocessed working parameters of the historical power plant boiler and the corresponding dust emission types, and establishing a dust type evaluation model according to the data set; Training the dust type evaluation model according to the data set to obtain the final dust type evaluation model; Inputting the working parameters of the current power plant boiler into the final dust type evaluation model to obtain the dust emission type of the current power plant boiler.

3. The control system of the cloth bag dust collection device according to claim 1, characterized in that, The threshold module determines the clustering partition corresponding to the dust emission type according to the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, including: Obtaining the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, establishing a sample data set according to the ash content, ammonia content and dust fineness of the dust emitted by the historical power plant boiler, and randomly selecting k initial clustering centers of the sample data set; Calculating the Euclidean distance from the sample data in the sample data set to the initial clustering center, and dividing each sample data into the corresponding clustering partition according to the Euclidean distance from the sample data in the sample data set to the initial clustering center; Calculating the average value of the sample data in each clustering partition, and recalculating the clustering center according to the average value of the sample data in each clustering partition; Repeating and iterating the above steps until the clustering center no longer changes or the number of iterations reaches the preset maximum number of iterations, to obtain the clustering result of the sample data; Determining the clustering partition to which the dust emission type of the current power plant boiler belongs according to the clustering result of the sample data.

4. The control system of the cloth bag dust collection device according to claim 3, characterized in that, The threshold module sets the filtration threshold according to the clustering partition of the dust emission type, including: Determining the corresponding clustering center value according to the clustering partition of the dust emission type, and calculating the ratio of the clustering center value to the preset standard clustering value; Performing normalization processing on the ratio of the clustering center value to the preset standard clustering value, and setting the filtration threshold of the corresponding clustering partition according to the ratio of the clustering center value to the preset standard clustering value after normalization processing.

5. The control system of the cloth bag dust collection device according to claim 1, characterized in that, The efficiency module determines the dust removal efficiency of the current bag dust collection device according to the average pressure value of the filter bags in the current bag dust collection device, including: Draw the pressure change curve of the current cloth bag dust collection device within a preset period according to the average pressure value of the cloth bag in the current cloth bag dust collection device, and segment the pressure change curve according to a preset rolling time window to obtain a number of sub-pressure change curves; Calculate the absolute value of the slope of each sub-pressure change curve, and count the time values corresponding to when the absolute value of the slope is less than the preset standard absolute value of the slope to obtain the first efficiency coefficient; Calculate the average value of the absolute values of the slopes of all sub-pressure change curves to obtain the second efficiency coefficient, and determine the dust removal efficiency of the current cloth bag dust collection device according to the first efficiency coefficient and the second efficiency coefficient.

6. The control system of the cloth bag dust collection device according to claim 5, characterized in that, The determining the dust removal efficiency of the current cloth bag dust collection device according to the first efficiency coefficient and the second efficiency coefficient includes: Calculate the dust removal efficiency according to the first efficiency coefficient and the second efficiency coefficient based on the dust removal efficiency calculation formula. The specific dust removal efficiency calculation formula is ， Among them, is the dust removal efficiency, is the first efficiency coefficient, is the first preset standard efficiency coefficient, is the second efficiency coefficient, is the second preset standard efficiency coefficient, is the natural exponential function.

7. The control system of the cloth bag dust collection device according to claim 1, characterized in that, The back-blowing module determines the state value of the current cloth bag dust collection device according to the dust removal efficiency of the current cloth bag dust collection device and the corresponding filtration threshold, including: Calculate the difference between the dust removal efficiency of the current cloth bag dust collection device and the corresponding dust partition filtration threshold to obtain the state coefficient of the cloth bag dust collection device; Judge whether the state coefficient of the cloth bag dust collection device is greater than the first preset threshold. If the state coefficient of the cloth bag dust collection device is greater than the first preset threshold, set the first state value as the state value of the current cloth bag dust collection device; If the state coefficient of the cloth bag dust collection device is less than or equal to the first preset threshold, judge whether the state coefficient of the cloth bag dust collection device is greater than the second preset threshold; If the state coefficient of the cloth bag dust collection device is greater than the second preset threshold, set the second state value as the state value of the current cloth bag dust collection device; If the state coefficient of the cloth bag dust collection device is less than or equal to the second preset threshold, set the third state value as the state value of the current cloth bag dust collection device.

8. The control system of the cloth bag dust collection device according to claim 7, characterized in that, The back-blowing module determines the back-blowing cycle according to the state value of the current cloth bag dust collection device, including: If the state value of the current cloth bag dust collection device is the third state value, count the change situation of the state coefficient of the current cloth bag dust collection device, and draw a state coefficient change curve according to the change situation of the state coefficient of the current cloth bag dust collection device; Perform curve fitting on the state coefficient change curve to obtain a state coefficient prediction curve; Obtain the preset allowable state coefficient, count the time required for the state coefficient in the state coefficient prediction curve to reach the preset allowable state coefficient, and determine the back-blowing cycle of the cloth bag dust collection device according to the time required for the state coefficient in the state coefficient prediction curve to reach the preset allowable state coefficient.

9. The control system of the cloth bag dust collection device according to claim 1, characterized in that It also includes: A reminder module, which is used to obtain the back-blowing pressure change curve of the cloth bag when the cloth bag dust collection device performs back-blowing, and segment the back-blowing pressure change curve according to a preset rolling time window to obtain a number of sub-back-blowing pressure change curves; Calculate the absolute value of the slope of each sub-back-blowing pressure change curve, and count the number of sub-back-blowing pressure change curves whose absolute value of the slope is greater than the preset standard back-blowing slope value; Determine whether the number of sub-backflush pressure change curves with an absolute value of slope greater than the preset standard backflush slope value is less than the third preset threshold. If the number of sub-backflush pressure change curves with an absolute value of slope greater than the preset standard backflush slope value is less than the third preset threshold, a reminder for replacing the cloth bag is given.

10. A cloth bag dust collection device, characterized in that, Equipment including a control system of a cloth bag dust collection device according to any one of claims 1-9.

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