Method and device for checking abnormal particulate matter concentration, electronic equipment and dust removal system

The method analyzes dust collector compartment data to generate targeted maintenance alerts, addressing the challenge of identifying abnormal compartments in steelmaking dust collectors, enhancing efficiency and reducing maintenance time.

CN120305768AActive Publication Date: 2025-07-15NINGBO IRON & STEEL
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Patent Information

Application Number
CN202510804493.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-17
Publication Date
2025-07-15
Estimated Expiration
2045-06-17

AI Technical Summary

Technical Problem

In steelmaking and dust removal systems, how to quickly locate abnormal warehousing that leads to abnormal increase in dust particulate concentrations is time-consuming and inefficient in artificial inspections of the prior art.

Method used

Through the monitoring equipment, the analysis equipment calculates the concentration change values of each warehouse cleaning period, cross-period and cross-period concentrations, and generates inspection prompts, pointing out the warehouses and factors to be investigated.

Benefits of technology

Targeted inspections have been realized, inspection time has been saved, air pollution caused by excessive particulate matter concentration has been avoided, and production efficiency and equipment reliability have been improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a method and a device for checking abnormal particulate matter concentration, electronic equipment and a dust removal system, and relates to the field of steelmaking dust removal. The dust removal system comprises analysis equipment, a bag-type dust remover and monitoring equipment mounted in an exhaust pipeline of the bag-type dust remover; the monitoring equipment is in communication connection with the analysis equipment, and the bag-type dust collector comprises a plurality of bins and a middle air duct. The analysis equipment can collect the concentration of all particulate matters in the ash removal period through the monitoring equipment to analyze the average particulate matter concentration corresponding to the ash removal period of each bin, and after the cross-period concentration change value corresponding to each ash removal period in the current ash removal period and the cross-period concentration change value corresponding to each bin are calculated, the average particulate matter concentration corresponding to the ash removal period in the current ash removal period is calculated. According to the technical scheme, the troubleshooting prompt can be generated, the troubleshooting prompt can prompt maintenance personnel of the to-be-troubleshot bin and / or the to-be-troubleshot factor, therefore, targeted troubleshooting can be achieved, manual carpet type troubleshooting is not needed, and the troubleshooting time is saved.
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Description

Technical Field

[0001] The present invention relates to the field of steelmaking dust removal, and more particularly, to a method, device, electronic device and dust removal system for troubleshooting abnormal particulate matter concentration. Background Art

[0002] In the steelmaking industry, dust removal is a key environmental protection measure for controlling dust emissions, protecting workers' health and preventing air pollution. For example, in the converter operation area of a steel mill, the bag filter dust removal technology is widely used in the hot metal ladle transfer station dust removal system, hot metal (desulfurization) pretreatment dust removal system, refining dust removal system, converter secondary dust removal system, converter tertiary dust removal system, etc.

[0003] In each dust removal system in the converter operation area, there are a large number of filter bags, up to several thousand, in all compartments of the dust collector. Among them, the converter secondary dust removal has 18 large compartments and 36 small compartments, and there are 6,480 filter bags. If the concentration of dust particles increases, the reasons may be that in a certain compartment: a certain filter bag is damaged or fallen off, the weld of the intermediate air duct is cracked, the lifting valve is not tightly sealed, the lifting valve cylinder fails, the lifting valve solenoid valve fails, etc. However, due to the large number of compartments, it is very time-consuming for manual troubleshooting to locate the abnormal compartment.

[0004] Therefore, when the concentration of dust particles in the exhaust gas of the dust collector increases abnormally, how to quickly locate the abnormal compartment is an urgent problem to be solved. Summary of the Invention

[0005] The purpose of the present invention is to provide a method, device, electronic device and dust removal system for troubleshooting abnormal particulate matter concentration, so as to generate a troubleshooting prompt based on the average particulate matter concentration corresponding to the ash cleaning period of each compartment when the concentration of dust particles in the exhaust gas of the dust collector increases abnormally, and achieve targeted troubleshooting.

[0006] The embodiments of the present invention can be implemented as follows: In a first aspect, the present invention provides a method for troubleshooting abnormal particulate matter concentration, which is applied to an analysis device in a dust removal system. The dust removal system further includes a bag filter and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device, and the bag filter includes a plurality of compartments and an intermediate air duct; the method includes: In each ash cleaning cycle of the bag filter, obtain the concentration data collected by the monitoring device during the ash cleaning cycle; the concentration data includes the particulate matter concentrations at several different collection times; Based on the concentration data, calculate the average particulate matter concentration corresponding to the ash cleaning period of each compartment during the ash cleaning cycle; For each cleaning period within the current cleaning cycle, calculate the difference between the average particulate matter concentration corresponding to the cleaning period and the average particulate matter concentration corresponding to the previous cleaning period adjacent to the cleaning period, to obtain the cross-period concentration change value corresponding to each cleaning period within the current cleaning cycle; For each chamber, calculate the difference between the average particulate matter concentration corresponding to the cleaning period of the chamber within the current cleaning cycle and the average particulate matter concentration corresponding to the cleaning period of the chamber within the previous cleaning cycle, to obtain the cross-cycle concentration change value corresponding to each chamber within the current cleaning cycle; Based on the cross-period concentration change values corresponding to each cleaning period within the current cleaning cycle, the cross-cycle concentration change values corresponding to each chamber, and the average particulate matter concentration corresponding to the cleaning period of each chamber, generate a troubleshooting prompt, where the troubleshooting prompt is used to prompt the maintenance personnel of the chamber to be troubleshot and the factors to be troubleshot.

[0007] In a second aspect, the present invention further provides a troubleshooting device for abnormal particulate matter concentration, which is applied to an analysis device in a dust removal system. The dust removal system further includes a bag filter and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device, and the bag filter includes a plurality of chambers and an intermediate air duct; the device includes: A data acquisition module, configured to obtain, in each cleaning cycle of the bag filter, the concentration data collected by the monitoring device during the cleaning cycle; the concentration data includes particulate matter concentrations at several different collection times; A calculation module, based on the concentration data, calculates the average particulate matter concentration corresponding to the cleaning period of each chamber within the cleaning cycle; The calculation module is further configured to, for each cleaning period within the current cleaning cycle, calculate the difference between the average particulate matter concentration corresponding to the cleaning period and the average particulate matter concentration corresponding to the previous cleaning period adjacent to the cleaning period, to obtain the cross-period concentration change value corresponding to each cleaning period within the current cleaning cycle; The calculation module is further configured to, for each chamber, calculate the difference between the average particulate matter concentration corresponding to the cleaning period of the chamber within the current cleaning cycle and the average particulate matter concentration corresponding to the cleaning period of the chamber within the previous cleaning cycle, to obtain the cross-cycle concentration change value corresponding to each chamber within the current cleaning cycle; A prompt module, configured to generate a troubleshooting prompt based on the cross-period concentration change values corresponding to each cleaning period within the current cleaning cycle, the cross-cycle concentration change values corresponding to each chamber, and the average particulate matter concentration corresponding to the cleaning period of each chamber, where the troubleshooting prompt is used to prompt the maintenance personnel of the chamber to be troubleshot and the factors to be troubleshot.

[0008] In a third aspect, the present invention further provides an electronic device, comprising: a memory and a processor, where the memory stores a software program, and when the electronic device runs, the processor executes the software program to implement the method for troubleshooting abnormal particulate matter concentration described in the first aspect.

[0009] In a fourth aspect, the present invention further provides a dust removal system, which includes an analysis device, a bag filter, and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device; The monitoring device is configured to collect the particulate matter concentration of the gas discharged from the exhaust duct at a preset sampling frequency during the operation of the bag filter, and send the particulate matter concentration collected each time to the analysis device for storage in real time; The analysis device is configured to analyze the concentration data of each cleaning cycle of the bag filter according to the method for troubleshooting abnormal particulate matter concentration described in the first aspect.

[0010] Compared with the prior art, the embodiments of the present invention provide a method, device, electronic device, and dust removal system for troubleshooting abnormal particulate matter concentration. The dust removal system includes an analysis device, a bag filter, and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device, and the bag filter includes a plurality of compartments and an intermediate air duct. The analysis device can use the monitoring device to collect the total particulate matter concentration during the cleaning cycle to analyze the average particulate matter concentration corresponding to the cleaning time period of each compartment. After calculating the cross-time period concentration change value corresponding to each cleaning time period and the cross-cycle concentration change value corresponding to each compartment during the current cleaning cycle, a troubleshooting prompt can be generated, which can prompt the maintenance personnel of the compartment and / or factor to be troubleshot. Therefore, the present invention can achieve targeted troubleshooting, without the need for manual carpet-style troubleshooting, saving troubleshooting time. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0012] Figure 1 It is a schematic diagram of the relationship between the working cycle and the cleaning cycle of a bag filter provided by an embodiment of the present invention.

[0013] Figure 2 It is a schematic flowchart of a method for troubleshooting abnormal particulate matter concentration provided by an embodiment of the present invention.

[0014] Figure 3 Schematic diagram of the dust cleaning period of each chamber within one dust cleaning cycle provided by an embodiment of the present invention.

[0015] Figure 4 One of the example diagrams of the concentration change trend graph within one dust cleaning cycle provided by an embodiment of the present invention.

[0016] Figure 5 Another example diagram of the concentration change trend graph within one dust cleaning cycle provided by an embodiment of the present invention.

[0017] Figure 6 Still another example diagram of the concentration change trend graph within one dust cleaning cycle provided by an embodiment of the present invention.

[0018] Figure 7 Continuous type of concentration change trend graph provided by an embodiment of the present invention.

[0019] Figure 8 Schematic diagram of the calculation principle of the cross-cycle concentration change value and the cross-period concentration change value provided by an embodiment of the present invention.

[0020] Figure 9 Schematic diagram of the structure of a device for troubleshooting abnormal particulate matter concentration provided by an embodiment of the present invention.

[0021] Figure 10 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Detailed implementation manners

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations.

[0023] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0024] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0025] In addition, terms such as "first" and "second" are only used for distinguishing descriptions and should not be construed as indicating or implying relative importance.

[0026] It should be noted that, without conflict, the features in the embodiments of the present invention can be combined with each other.

[0027] Herein, the keywords or key terms related to the present invention will be introduced first: 1. Dedusting of hot metal ladle transfer station: When hot metal from a blast furnace is poured into a torpedo car or a ladle, a large amount of soot (containing FeO, SiO2, etc.) is generated when the high-temperature hot metal contacts the air, and dedusting treatment is required.

[0028] 2. Dedusting of hot metal (desulfurization) pretreatment: When desulfurizing agents (such as magnesium powder, CaO) are blown into hot metal, a violent reaction will generate high-concentration and highly corrosive soot (containing S, Ca, Mg, etc.), and dedusting treatment is required.

[0029] 3. Secondary dedusting of converter: When adding scrap steel, tapping, and slag splashing for furnace lining protection in a converter, escaping soot (including FeO, CaO, CO, etc.) will appear, and dedusting treatment is required.

[0030] 4. Tertiary dedusting of converter: Dedusting is carried out for ultra-fine dust (below PM2.5) that is not completely captured by secondary dedusting.

[0031] Herein, the application scenarios of the present invention will be introduced first.

[0032] An embodiment of the present invention provides a dedusting system, which includes an analysis device, a bag filter, and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device.

[0033] The bag filter includes a controller, a plurality of compartments, a dust cleaning device corresponding to each compartment, an intermediate air duct, a clean gas chamber, and an exhaust duct.

[0034] Each compartment includes a plurality of filter bags (for example, using film-coated polyester needle felt filter bags). The filter bags are used to filter the dust-containing gas entering from the air inlet of the compartment, and then the filtered gas is discharged from the air outlet of the compartment. Then, the filtered gas can enter the clean gas chamber through the intermediate air duct and be discharged through the exhaust duct.

[0035] There is a lift valve in each compartment. The air cylinder can drive the valve plate of the lift valve to move up and down. During the dust cleaning and maintenance of the compartment, the lift valve is closed. Otherwise, the lift valve is open. When the lift valve is closed, both the air inlet and the air outlet of the compartment are closed, making the compartment in an "offline" state; when the lift valve is open, both the air inlet and the air outlet of the compartment are open.

[0036] When the bag filter starts to work, each chamber can filter dust. The working cycle of the bag filter is T0, and the cleaning cycle within one working cycle is T1. The relationship between the two can be T0≥T1.

[0037] Please combine Figure 1 , the working cycle of the bag filter is divided into the following two cases: (1) When T0>T1, the working cycle T0 = full operation cycle T2 + cleaning cycle T1. During the full operation cycle of one working cycle, each chamber filters dust; while during the cleaning cycle of one working cycle, each chamber will be cleaned in turn (when one chamber is being cleaned, other chambers filter dust). For example, T1 can be 30 minutes, 45 minutes, 50 minutes, etc., and T2 can be 5 minutes, 10 minutes, etc. This is only an example, and the sizes of T1 and T2 are set according to the scale of the bag filter, the amount of dust, etc., and are not limited here.

[0038] (2) When T0=T1, during the entire working cycle (i.e., the entire cleaning cycle), each chamber is cleaned in turn.

[0039] During one cleaning cycle, the controller controls the cleaning device to clean each chamber in turn, and the cleaning duration of each chamber is a uniformly preset single-chamber cleaning duration. For any chamber A: during cleaning, the controller can control the lift valve of chamber A to close, and then start the cleaning device to perform multiple pulse jets on all the bags in chamber A, that is, the pulse valve of the cleaning device instantaneously releases high-pressure compressed air, and injects high-speed air flow into the inside of the bag from the top of the bag (clean gas side) through the nozzles on the spray pipe. The air flow then penetrates the bag wall and flows from the inside to the outside (from the inside of the bag to the dust-containing side), forming a reverse impact force, causing the dust layer attached to the outer surface of the bag to rupture and fall off into the ash hopper at the bottom of chamber A. After cleaning, the controller can control the lift valve of chamber A to open, so that chamber A continues to filter dust.

[0040] Among them, the monitoring device can be a dust concentration meter or a continuous emission monitoring system (Continuous Emission Monitoring System, abbreviated as CEMS). The monitoring device is used to collect the particulate matter concentration of the gas discharged from the exhaust pipe at a preset sampling frequency during the operation of the bag filter, and send the particulate matter concentration collected each time to the analysis device for storage in real time.

[0041] Among them, the analysis device can be a computing device such as a laptop, a personal computer, a server, etc. The analysis device is used to analyze the concentration data of each cleaning cycle of the bag filter by using the method for troubleshooting abnormal particulate matter concentration provided by the embodiments of the present invention.

[0042] Optionally, the dust removal system provided by the present invention can be applied to the converter operation area of a steel mill, including dust removal stages such as hot metal ladle transfer station dust removal, hot metal (desulfurization) pretreatment dust removal, refining dust removal, converter secondary dust removal, and converter tertiary dust removal. It can also be applied to the dust removal stages of industries such as the cement industry, coal-fired power plants, and waste incineration plants.

[0043] Please refer to Figure 2 , Figure 2 FIG. is a schematic flowchart of a method for detecting abnormal particulate matter concentration provided by an embodiment of the present invention. The execution subject of this method is the above analysis device, and this method includes the following steps S201-S205.

[0044] S201. In each cleaning cycle of the bag filter, obtain the concentration data collected by the monitoring device during the cleaning cycle.

[0045] In this embodiment, the concentration data includes the particulate matter concentrations at several different collection times.

[0046] S202. Based on the concentration data, calculate the average particulate matter concentration corresponding to the cleaning period of each chamber during the cleaning cycle.

[0047] In this embodiment, since each chamber is cleaned once in sequence during the cleaning cycle, each chamber corresponds to a cleaning period. Therefore, based on the concentration data, the average particulate matter concentration corresponding to the cleaning period of each chamber can be calculated.

[0048] S203. For each cleaning period in the current cleaning cycle, calculate the difference between the average particulate matter concentration corresponding to the cleaning period and the average particulate matter concentration corresponding to the previous cleaning period adjacent to the cleaning period, to obtain the cross-period concentration change value corresponding to each cleaning period in the current cleaning cycle.

[0049] In this embodiment, the cross-period concentration change value can reflect the change in particulate matter concentration between two adjacent cleaning periods.

[0050] S204. For each chamber, calculate the difference between the average particulate matter concentration corresponding to the cleaning period of the chamber in the current cleaning cycle and the average particulate matter concentration corresponding to the cleaning period of the chamber in the previous cleaning cycle, to obtain the cross-cycle concentration change value corresponding to each chamber in the current cleaning cycle.

[0051] In this embodiment, the cross-cycle concentration change value can reflect the change in particulate matter concentration between two cleaning periods of the same chamber in two adjacent cleaning cycles.

[0052] S205. Generate a troubleshooting prompt based on the cross-period concentration change values corresponding to each dust cleaning period within the current dust cleaning cycle, the cross-cycle concentration change values corresponding to each chamber, and the average particulate matter concentration corresponding to the dust cleaning period of each chamber.

[0053] In this embodiment, the troubleshooting prompt is used to prompt the maintenance personnel of the chamber to be troubleshot and the factors to be troubleshot.

[0054] The troubleshooting method for abnormal particulate matter concentration provided by the embodiment of the present invention is applied to a dust removal system, which includes an analysis device, a bag filter, and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device, and the bag filter includes a plurality of chambers and an intermediate air duct. The analysis device can use the monitoring device to collect all particulate matter concentrations during the dust cleaning cycle to analyze the average particulate matter concentration corresponding to the dust cleaning period of each chamber. After calculating the cross-period concentration change values corresponding to each dust cleaning period within the current dust cleaning cycle and the cross-cycle concentration change values corresponding to each chamber, a troubleshooting prompt can be generated, which can prompt the maintenance personnel of the chamber to be troubleshot and / or the factors to be troubleshot. Therefore, the present invention can achieve targeted troubleshooting, eliminating the need for manual carpet troubleshooting and saving troubleshooting time.

[0055] In an optional implementation, the analysis device includes a local storage area, and the method may further include S101 - S102.

[0056] S101. Receive the particulate matter concentration and its collection time sent by the monitoring device at regular intervals, and store the received particulate matter concentration and its collection time in the local storage area.

[0057] In this embodiment, the particulate matter concentration is collected by the monitoring device according to a preset collection frequency. For example, the preset collection frequency can be once every 30ms, once every 100ms, etc. The actual size of the preset collection frequency depends on the actual situation and is not limited herein.

[0058] Optionally, the particulate matter concentration with a collection time more than m days ago in the local storage area can be cleared every day, so that the local storage area can only store the particulate matter concentrations collected within the most recent m days (such as 7 days or 30 days) to reduce the storage pressure.

[0059] S102. If no data is received from the monitoring device within the preset duration, prompt the maintenance personnel to troubleshoot whether the monitoring and identification are faulty, or whether there is a communication fault between the analysis device and the monitoring device.

[0060] In this embodiment, it is assumed that the monitoring device collects data every 30 ms. Then, the analysis device can receive the particulate matter concentration and its collection time every 30 ms. If the analysis device does not receive the particulate matter concentration reported by the monitoring device for a continuous preset duration (such as 1 minute or 3 minutes), it is very likely that the monitoring device has a malfunction, or there is a communication failure between the monitoring device and the analysis device, and maintenance personnel need to conduct a timely investigation.

[0061] Therefore, in S201, for the period of the most recent cleaning cycle, each particulate matter concentration and its collection time whose collection time is within the period of the most recent cleaning cycle can be obtained from the local storage area, so as to obtain the concentration data.

[0062] Optionally, the sub-steps of the above step S202 may include S2021 to S2022: S2021: Based on the preset single-chamber cleaning duration, determine the cleaning time periods of each chamber in the cleaning cycle in sequence; S2022: For each chamber, find out each particulate matter concentration whose collection time is within the cleaning time period of the chamber from the concentration data, and calculate the average value of all the found particulate matter concentrations to obtain the average particulate matter concentration corresponding to the cleaning time period of the chamber.

[0063] In this embodiment, it is assumed that the bag filter includes a total of K chambers (chamber 1 to chamber K). Then, in the cleaning cycle, chambers 1 to K are cleaned in sequence, so the K cleaning time periods in one cleaning cycle are connected in sequence. Among them, the value of K depends on the specification of the bag filter. For example, the number of chambers of a small bag filter can be 4, 6, 8, etc., while the number of chambers of a large bag filter can be as high as 16, 24, 36, etc. The embodiment of the present invention does not limit the number of chambers of the bag filter.

[0064] Assume that the bag filter includes a total of 8 chambers (chamber 1 to chamber 8), the cleaning cycle T1 is 16 min, and the single-chamber cleaning duration is 2 min. Please refer to Figure 3 , if the most recent cleaning cycle is from 10:00:00 to 10:16:00, then the cleaning time periods of chambers 1 to 8 are Figure 3 the time periods 1 to 8 in. This example is only for illustration and is not limited here.

[0065] In an optional implementation manner, a concentration change trend graph within one cleaning cycle can also be generated, which is convenient for maintenance personnel to view the change of the particulate matter concentration in the cleaning time periods of each chamber within one cleaning cycle. Correspondingly, after the above step S202, the method may further include the following steps S206 - S209.

[0066] S206. Generate a concentration change curve for the ash cleaning cycle based on each particulate matter concentration and its collection time in the concentration data.

[0067] In this embodiment, for each ash cleaning cycle, a concentration change curve can be generated using the concentration data of this ash cleaning cycle.

[0068] S207. Construct an ash cleaning progress line based on the ash cleaning time periods of each chamber within the ash cleaning cycle.

[0069] In this embodiment, the ash cleaning progress line can reflect the ash cleaning time periods and ash cleaning order of each chamber.

[0070] Optionally, one control point or two control points corresponding to each ash cleaning time period can be constructed, and then all the control points are connected in sequence to obtain the ash cleaning progress line. Among them, the ash cleaning progress line can be of three types: broken line, stepped line, and square wave. Correspondingly, there are also the following three control methods for the construction of control points: The first control point construction method. If a broken-line type ash cleaning progress line is adopted, only one control point is required for each control time period. Therefore, the process of "constructing one control point corresponding to each ash cleaning time period" can include the following steps: (1) For the first ash cleaning time period, construct the first control point with the start time of the first ash cleaning time period as the abscissa and a preset first height value as the ordinate. (2) For the k-th ash cleaning time period, if k is even, increase the ordinate of the (k - 1)-th control point by a preset step length to obtain the k-th height value; if k is odd, decrease the ordinate of the (k - 1)-th control point by a preset step length to obtain the k-th height value. Construct the k-th control point with the start time of the k-th ash cleaning time period as the abscissa and the k-th height value as the ordinate. Here, k = 2, 3, 4,..., K.

[0071] The second control point construction method. If a square-wave type ash cleaning progress line is adopted, two control points are required for each control time period. Therefore, the process of "constructing two control points corresponding to each ash cleaning time period" can include the following steps: (1) For the first ash cleaning time period, construct two control points corresponding to the first ash cleaning time period with the start time and end time of the first ash cleaning time period as the abscissa and a preset first height value as the ordinate. (2) For the k-th ash cleaning time period, if k is even, increase the ordinate of the control point corresponding to the end time of the (k - 1)-th ash cleaning time period by a preset step length to obtain the k-th height value; if k is odd, decrease the ordinate of the control point corresponding to the end time of the (k - 1)-th ash cleaning time period by a preset step length to obtain the k-th height value. Construct two control points corresponding to the k-th ash cleaning time period with the start time and end time of the k-th ash cleaning time period as the abscissa and the k-th height value as the ordinate.

[0072] For the third way of constructing control points, a dust cleaning progress line of the step line type (increasing step line or decreasing step line) is adopted. Then, two control points are required for each control period. Therefore, the process of "constructing two control points corresponding to each dust cleaning period" may include the following steps: For the first dust cleaning period, two control points corresponding to the first dust cleaning period are constructed with the start time and end time of the first dust cleaning period as the abscissa and a preset first height value as the ordinate; For the kth dust cleaning period, the ordinate of the control point corresponding to the end time of the (k - 1)th dust cleaning period is increased or decreased by a preset step length to obtain the kth height value. Two control points corresponding to the kth dust cleaning period are constructed with the start time and end time of the kth dust cleaning period as the abscissa and the kth height value as the ordinate.

[0073] It should be noted that the ordinate of the dust cleaning progress line is only used to distinguish each dust cleaning period from the height difference. Therefore, the magnitudes of the first height value and the preset step length can be set flexibly. For example, the first height value can be 0, 0.5, 1, 2, etc., and the preset step length can be 0.2, 0.5, 1, etc. This example is only for illustration and is not limited here.

[0074] S208. Integrate the concentration change curve and the dust cleaning progress line to obtain the concentration change trend diagram of the dust cleaning cycle.

[0075] In this embodiment, the abscissa of the concentration change trend diagram is time, and the ordinate is concentration (unit: ). The concentration change trend diagram may further include a reference horizontal line corresponding to a preset concentration threshold, which is convenient for maintenance personnel to view which periods correspond to the average particulate matter concentration exceeding the concentration threshold.

[0076] In an optional example, on the basis of Figure 3 , please refer to Figure 4 , if the first height value and the preset step length are 2 and 1 respectively, and the concentration threshold is 9 , then in the concentration change trend diagram, the step line type dust cleaning progress line obtained by using the above first way of constructing control points is as shown in Figure 4 .

[0077] Figure 4 In , within the entire dust cleaning cycle from 10:00:00 to 10:16:00, the particulate matter concentration remains between 1 and 3

[0078] In another optional example, on the basis of Figure 3 , please refer to Figure 5If the first height value and the preset step size are 2 and 1 respectively, and the concentration threshold is 9 Then in the concentration change trend graph, the pulse-jet cleaning progress line of the square wave type obtained by using the above second control point construction method is as Figure 5 shown

[0079] Figure 6 In, within the entire pulse-jet cleaning cycle from 10:00:00 to 10:16:00, the particulate matter concentration in time periods 1 to 4 remains between 3 and 5 and is relatively stable. However, in time period 4, the particulate matter concentration abnormally increases beyond the reference horizontal line, and in subsequent time periods 6 to 8, it almost remains at a state close to the reference horizontal line

[0080] It should be noted that Figure 4 、 Figure 5 and Figure 6 shown are only the images within one pulse-jet cleaning cycle and are only for example, and are not limited herein. And in the actual concentration change trend graph, it may include the concentration change curves of consecutive multiple working cycles. For example, Figure 7 it can be seen from the continuous concentration change trend graph shown that the concentration change curves of a bag filter including 36 compartments within two complete working cycles

[0081] The present invention determines the average particulate matter concentration corresponding to the pulse-jet cleaning time periods of each of the K compartments of the bag filter within each pulse-jet cleaning cycle through the above steps S201 and S202. On the basis of Figure 3 , please refer to Figure 8 , and the following will respectively describe the method for calculating the cross-time period concentration change value in the above step S203 and the method for calculating the cross-cycle concentration change value in the above step S204 in combination with Figure 8 : Combined with Figure 8 , taking the pulse-jet cleaning time period (i.e., time period 8) of compartment 8 in Figure 8 as an example: (1) The cross-time period concentration change value Δ1 corresponding to time period 8 = the average particulate matter concentration value corresponding to time period 8 - the average particulate matter concentration value corresponding to time period 7; (2) The cross-cycle concentration change value Δ2 corresponding to compartment 8 = the average particulate matter concentration value corresponding to time period 8 - the average particulate matter concentration value corresponding to the previous pulse-jet cleaning time period of compartment 8

[0082] It should be noted that Figure 8 shown are only for example and are not limited herein

[0083] In an alternative implementation, the process of "generating a troubleshooting prompt based on the cross-period concentration change values corresponding to each dust cleaning period within the current dust cleaning cycle, the cross-cycle concentration change values corresponding to each chamber, and the average particulate matter concentration corresponding to the dust cleaning period of each chamber" in step S205 may include the following sub-steps S2051 to S2053.

[0084] S2051. If the cross-period concentration change values corresponding to at least M consecutive dust cleaning periods within the current dust cleaning cycle are all positive, prompt the maintenance personnel to check whether there is a weld crack at the connection between each chamber that is cleaned during at least M consecutive dust cleaning periods and the intermediate air duct.

[0085] In this embodiment, it is necessary to determine whether there are at least M (M can be 3 or 5, etc.) consecutive dust cleaning periods within the current dust cleaning cycle whose cross-period concentration change values are all positive. If so, an alarm can be triggered (such as an audible and visual alarm), and the generated troubleshooting prompt can be: Please ask the maintenance personnel to check whether there is a weld crack in the intermediate air duct.

[0086] Assume M = 3. Combining Figure 5 , within the entire dust cleaning cycle from 10:00:00 to 10:16:00, the particulate matter concentration in periods 1 to 3 remains between 2 and 3.5 , relatively stable. However, from period 4 to period 8, the particulate matter concentration has been continuously increasing. Obviously, the cross-period concentration change values corresponding to periods 5 to 8 are all positive. It is possible that there is a weld crack at the initial stage of period 5 in the intermediate air duct, resulting in a crack.

[0087] Because under normal circumstances, the intermediate air duct should be kept sealed, and the collected particulate matter concentration should maintain a relatively stable state with small fluctuations (for example, Figure 4 the concentration change curve has a small fluctuation range). However, during the dust cleaning period of chamber 5, if there is a crack in the intermediate air duct, then from the moment the crack appears, the dust-containing gas outside the bag filter will continuously pour into the intermediate air duct from the crack, and then enter the clean gas chamber and be discharged with the filtered gas. As time goes by, the crack may gradually become larger, as shown in Figure 5 the continuous increase in the particulate matter concentration from period 5 to period 8. Therefore, it is necessary to promptly check the position of the crack at the connection between chambers 5 to 8 and the intermediate air duct.

[0088] This example is only for illustration and is not limited here.

[0089] S2052. If the cross-cycle concentration change values corresponding to a target chamber are all positive within N consecutive dust cleaning cycles, prompt the maintenance personnel to check whether there is a damaged filter bag in the chamber that was cleaned immediately before the target chamber.

[0090] In this embodiment, it is necessary to determine whether there is a target chamber where the cross-cycle concentration change values corresponding to consecutive N dust cleaning cycles are all positive. If so, an alarm can be triggered (for example, an audible and visual alarm), and the generated troubleshooting prompt can be: Please ask the maintenance personnel to check whether there is a damaged cloth bag in the chamber that was cleaned one before the target chamber.

[0091] Because under normal circumstances, the intermediate air duct should be kept sealed, and the particulate matter concentration collected should maintain a small fluctuation but a relatively stable state (for example Figure 4 the fluctuation range of the concentration change curve is small). If a cloth bag in chamber k - 1 suddenly gets damaged during dust cleaning, with a small damaged opening generated, then during the current dust cleaning period of chamber k - 1, some dust will enter the interior of the cloth bag through the damaged opening and accumulate. Since the lift valve is closed, the particulate matter concentration collected by the monitoring device during the current dust cleaning period of chamber k - 1 will not increase abnormally. However, when the subsequent chamber k starts dust cleaning and at the instant when chamber k - 1 resumes the filtering state, a large amount of dust accumulated inside chamber k - 1 will enter the clean gas chamber and be discharged along with the filtered gas, resulting in an instantaneous increase in the particulate matter concentration collected by the monitoring device during the current dust cleaning period of chamber k. As time goes by, the damaged opening gradually becomes larger, so more dust will accumulate in the damaged cloth bag during the next dust cleaning period of chamber k - 1, leading to a higher particulate matter concentration collected by the monitoring device during the next dust cleaning period of chamber k. Developing according to this pattern, the average particulate matter concentration corresponding to consecutive multiple dust cleaning periods of chamber k will continue to increase. Therefore, it is necessary to open chamber k - 1, find the damaged cloth bag, and replace it with a new one.

[0092] S2053. If, in the current dust cleaning cycle, the average particulate matter concentrations corresponding to consecutive multiple dust cleaning periods of multiple target chambers all exceed the preset concentration threshold, then prompt the maintenance personnel to check whether there is a cloth bag detachment in the chamber that was cleaned one before the first target chamber.

[0093] In this embodiment, it is necessary to determine whether, in the current dust cleaning cycle, the average particulate matter concentrations corresponding to multiple dust cleaning periods of multiple target chambers all exceed the preset concentration threshold. If so, an alarm can be triggered (for example, an audible and visual alarm), and the generated troubleshooting prompt can be: Please ask the maintenance personnel to check whether there is a cloth bag detachment in the chamber that was cleaned one before the first target chamber.

[0094] Because if the cloth bag suddenly falls off during the dust cleaning of chamber k-1 (this situation is generally rare), since the lifting valve is closed, the particulate matter concentration collected by the monitoring equipment during the dust cleaning period of chamber k-1 will not increase abnormally. However, from the moment when the dust cleaning of chamber k starts, a large amount of unfiltered dusty gas in chamber k-1 will continuously enter the clean gas chamber from the air outlet of the fallen cloth bag and then be discharged with the filtered gas. This causes the particulate matter concentration to increase rapidly from the start of the dust cleaning period of chamber k, so that the particulate matter concentration collected during each dust cleaning period from chamber k to chamber K may remain above the concentration threshold until the particulate matter concentration collected when chamber k-1 enters the dust cleaning period of the next cleaning cycle will drop to the normal state. Therefore, it is necessary to open chamber k-1 to find the position where the cloth bag has fallen off and fix a new cloth bag.

[0095] This example is only for illustration and is not limited here.

[0096] Optionally, if the emission standard requires that the particulate matter concentration in the gas discharged after the bag filter performs dust filtration is not allowed to exceed , then in order to reserve a certain time for troubleshooting, the concentration threshold can be set to or . In this way, in the case that the failure of the bag filter causes a decrease in the dust filtration ability, if the particulate matter concentration collected by the monitoring equipment exceeds the concentration threshold, there will be time to troubleshoot and repair the failure in time, avoiding the continuous increase of the particulate matter concentration and thus causing air pollution exceeding the emission standard.

[0097] S2054. If, in the current cleaning cycle, the average particulate matter concentration corresponding to the dust cleaning period of only one target chamber exceeds the preset concentration threshold, prompt the maintenance personnel to check whether there is a failure in the lifting valve in the target chamber.

[0098] In this embodiment, it is necessary to determine whether, in the current cleaning cycle, there is only one target chamber whose average particulate matter concentration corresponding to the dust cleaning period exceeds the preset concentration threshold. If so, an alarm can be triggered (such as an audible and visual alarm), and the generated troubleshooting prompt can be: Please ask the maintenance personnel to check whether there is a failure in the lifting valve in the target chamber.

[0099] Because if the lift valve of chamber k malfunctions (such as poor sealing of the lift valve, lift valve cylinder failure, lift valve solenoid valve failure, etc.), when chamber k enters the dust cleaning period, the inlet and outlet of chamber k may only be partially closed or unable to be closed. As a result, external dusty gas can continue to enter chamber k during the dust cleaning period. At this time, the airflow generated by pulse injection is from the inside to the outside, but the pressure inside the chamber may change due to the continuous entry of external airflow. At this time, the pulse airflow may conflict with the dusty airflow, causing dust to be carried to the clean gas chamber through the unclosed or incompletely closed outlet and discharged with the filtered gas. As a result, during the dust cleaning period of chamber k, the particulate matter concentration collected by the monitoring device abnormally increases, and after the dust cleaning of chamber k is completed, the collected particulate matter concentration returns to the normal state. Therefore, it is necessary to open chamber k, find the cause of the lift valve failure, and repair it in time.

[0100] It should be noted that the execution order of each step in the above method embodiments is not limited by the figures shown, and the execution order of each step is subject to the actual application situation.

[0101] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: The present invention can not only monitor in real time the change in the particulate matter concentration in the discharged gas of the bag filter, but also can timely detect the abnormality, give an alarm and provide a troubleshooting prompt when the particulate matter concentration appears abnormally; The troubleshooting prompt output by the present invention can accurately point out the location of the chamber to be troubleshot and the factors to be troubleshot, provide detailed fault information for maintenance personnel for targeted troubleshooting, without the need for manual carpet-style troubleshooting, saving troubleshooting time and avoiding air pollution caused by excessive particulate matter concentration in the discharged gas. And targeted troubleshooting helps to quickly restore the normal operation of the system, improve production efficiency and equipment reliability.

[0102] In order to execute the corresponding steps in the above method embodiments and each possible implementation manner, the following provides an implementation manner of a device for troubleshooting abnormal particulate matter concentration.

[0103] Please refer to Figure 9 , Figure 9 which shows a schematic structural diagram of a device for troubleshooting abnormal particulate matter concentration provided by an embodiment of the present invention. The device 200 for troubleshooting abnormal particulate matter concentration is applied to an analysis device in a dust removal system. The dust removal system further includes a bag filter and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device, and the bag filter includes a plurality of chambers and an intermediate air duct. The device 200 for troubleshooting abnormal particulate matter concentration includes: A data acquisition module 210, configured to acquire, in each dust cleaning cycle of the bag filter, the concentration data collected by the monitoring device during the dust cleaning cycle; the concentration data includes the particulate matter concentration at several different acquisition times; A calculation module 220 that calculates, based on the concentration data, the average particulate matter concentration corresponding to each ash cleaning period of each chamber within the ash cleaning cycle. The calculation module 220 is further configured to, for each ash cleaning period within the current ash cleaning cycle, calculate the difference between the average particulate matter concentration corresponding to the ash cleaning period and the average particulate matter concentration corresponding to the previous ash cleaning period adjacent to the ash cleaning period, to obtain the cross-period concentration change value corresponding to each ash cleaning period within the current ash cleaning cycle. The calculation module 220 is further configured to, for each chamber, calculate the difference between the average particulate matter concentration corresponding to the ash cleaning period of the chamber within the current ash cleaning cycle and the average particulate matter concentration corresponding to the ash cleaning period of the chamber within the previous ash cleaning cycle, to obtain the cross-cycle concentration change value corresponding to each chamber within the current ash cleaning cycle. A prompt module 230 that generates a troubleshooting prompt based on the cross-period concentration change value corresponding to each ash cleaning period within the current ash cleaning cycle, the cross-cycle concentration change value corresponding to each chamber, and the average particulate matter concentration corresponding to each ash cleaning period of each chamber, where the troubleshooting prompt is used to prompt the maintenance personnel of the chamber to be troubleshot and the factors to be troubleshot.

[0104] Optionally, the data acquisition module 210 can be used to implement the above steps S101~S102 and S201, the calculation module 220 can be used to implement the above steps S202~S204 and their respective sub-steps, and the prompt module 230 can be used to implement the above step S205 and its sub-steps. The troubleshooting device 200 for abnormal particulate matter concentration may further include a graph output module 240, which can be used to implement the above steps S206-S209 and their respective sub-steps.

[0105] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the above-described troubleshooting device 200 for abnormal particulate matter concentration can refer to the corresponding process in the foregoing method embodiment, and will not be elaborated herein.

[0106] Please refer to Figure 10 , Figure 10 which is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. The electronic device 300 includes a processor 310, a memory 320, and a bus 330, and the processor 310 is connected to the memory 320 through the bus 330.

[0107] The memory 320 can be used to store software programs, for example, the software program corresponding to the troubleshooting device 200 for abnormal particulate matter concentration provided by the embodiment of the present invention. The processor 310 executes various functional applications and data processing by running the software program stored in the memory 320 to implement the method for troubleshooting abnormal particulate matter concentration provided by the embodiment of the present invention.

[0108] Among them, the memory 320 can be, but is not limited to: RAM (Random Access Memory), ROM (Read Only Memory), FLASH (Flash Memory), PROM (Programmable Read-Only Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electric Erasable Programmable Read-Only Memory), etc.

[0109] The processor 310 can be an integrated circuit chip with signal processing capabilities. The processor 310 can be a general-purpose processor, including: CPU (Central Processing Unit), NP (Network Processor), SoC (System on Chip), etc.; it can also be: DSP (Digital Signal Processing), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0110] It can be understood that Figure 10 The structure shown is only for illustration, and the electronic device 300 can also include more or fewer components than those shown Figure 10 in the figure, or have a different configuration from that shown Figure 10 in the figure. Figure 10 Each component shown in the figure can be implemented by hardware, software, or a combination thereof.

[0111] In summary, the embodiments of the present invention provide a method, a device, an electronic device, and a dust removal system for detecting abnormal particulate matter concentration. The dust removal system includes an analysis device, a bag filter, and a monitoring device installed in the exhaust duct of the bag filter. The monitoring device is communicatively connected to the analysis device, and the bag filter includes a plurality of compartments and an intermediate air duct. The analysis device can use the monitoring device to collect the total particulate matter concentration during the dust cleaning cycle to analyze the average particulate matter concentration corresponding to the dust cleaning period of each compartment. After calculating the cross-period concentration change value corresponding to each dust cleaning period and the cross-cycle concentration change value corresponding to each compartment during the current dust cleaning cycle, a detection prompt can be generated, which can prompt the maintenance personnel of the compartment and / or factors to be detected. Therefore, the present invention can achieve targeted detection, eliminating the need for manual carpet detection and saving detection time.

[0112] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A method for troubleshooting abnormal particulate matter concentration, characterized in that, An analysis device applied to a dust removal system, the dust removal system further comprising a bag filter and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device, and the bag filter includes a plurality of compartments and an intermediate air duct; the method includes: In each cleaning cycle of the bag filter, obtaining the concentration data collected by the monitoring device during the cleaning cycle; the concentration data includes the particulate matter concentrations at several different collection times. Based on the concentration data, respectively calculate the average particulate matter concentration corresponding to the cleaning period of each compartment during the cleaning cycle. For each cleaning period in the current cleaning cycle, calculate the difference between the average particulate matter concentration corresponding to the cleaning period and the average particulate matter concentration corresponding to the previous cleaning period adjacent to the cleaning period, to obtain the cross-period concentration change value corresponding to each cleaning period in the current cleaning cycle. For each compartment, calculate the difference between the average particulate matter concentration corresponding to the cleaning period of the compartment in the current cleaning cycle and the average particulate matter concentration corresponding to the cleaning period of the compartment in the previous cleaning cycle, to obtain the cross-cycle concentration change value corresponding to each compartment in the current cleaning cycle. Based on the cross-period concentration change value corresponding to each cleaning period in the current cleaning cycle, the cross-cycle concentration change value corresponding to each compartment, and the average particulate matter concentration corresponding to the cleaning period of each compartment, generate a troubleshooting prompt, which is used to prompt the maintenance personnel of the compartments to be troubleshot and the factors to be troubleshot.

2. The method for troubleshooting abnormal particulate matter concentration according to claim 1, characterized in that, The step of respectively calculating the average particulate matter concentration corresponding to the cleaning period of each compartment during the cleaning cycle based on the concentration data includes: Based on the preset single-compartment cleaning duration, sequentially determine the cleaning periods of each compartment during the period of the cleaning cycle. For each compartment, find out each particulate matter concentration in the concentration data whose collection time is within the cleaning period of the compartment, and calculate the average value of all the found particulate matter concentrations, to obtain the average particulate matter concentration corresponding to the cleaning period of the compartment.

3. The troubleshooting method for abnormal particulate matter concentration according to claim 1, characterized in that The analysis device includes a local storage area; before the step of obtaining the concentration data collected by the monitoring device during the cleaning cycle of the bag filter in each cleaning cycle, the method further includes: Receiving the particulate matter concentration and its collection time regularly sent by the monitoring device, and storing the received particulate matter concentration and its collection time in the local storage area; the particulate matter concentration is collected by the monitoring device according to a preset collection frequency. If no data sent by the monitoring device is received within the preset duration, prompt the maintenance personnel to troubleshoot whether the monitoring identification has a fault, or whether there is a communication fault between the analysis device and the monitoring device.

4. The troubleshooting method for abnormal particulate matter concentration according to claim 1, characterized in that, The cleaning cycle includes the cleaning periods of each of the K compartments, and the K cleaning periods are sequentially connected; after the step of respectively calculating the average particulate matter concentration corresponding to the cleaning period of each compartment during the cleaning cycle based on the concentration data, the method further includes: Generate a concentration change curve for the cleaning cycle based on each particulate matter concentration and its collection time in the concentration data; Construct a cleaning progress line based on the cleaning time periods of each chamber within the cleaning cycle; the cleaning progress line reflects the cleaning time periods and cleaning sequence of each chamber; Integrate the concentration change curve and the cleaning progress line to obtain a concentration change trend graph for the cleaning cycle, where the abscissa of the concentration change trend graph is time and the ordinate is concentration.

5. The troubleshooting method for abnormal particulate matter concentration according to claim 4, wherein The step of constructing a cleaning progress line based on the cleaning time periods of each chamber within the cleaning cycle includes: Construct one control point or two control points corresponding to each of the cleaning time periods; Connect all the control points in sequence to obtain the cleaning progress line.

6. The troubleshooting method for abnormal particulate matter concentration according to claim 5, characterized in that, The step of constructing one control point or two control points corresponding to each of the cleaning time periods includes: For the first cleaning time period, construct a first control point with the start time of the first cleaning time period as the abscissa and a preset first height value as the ordinate; For the kth cleaning time period, if k is even, increase the ordinate of the (k - 1)th control point by a preset step length to obtain the kth height value, and if k is odd, decrease the ordinate of the (k - 1)th control point by the preset step length to obtain the kth height value. Then construct the kth control point with the start time of the kth cleaning time period as the abscissa and the kth height value as the ordinate; Alternatively, for the first cleaning time period, construct two control points corresponding to the first cleaning time period with the start time and end time of the first cleaning time period as the abscissa and the first height value as the ordinate; For the kth cleaning time period, if k is even, increase the ordinate of the control point corresponding to the end time of the (k - 1)th cleaning time period by a preset step length to obtain the kth height value, and if k is odd, decrease the ordinate of the control point corresponding to the end time of the (k - 1)th cleaning time period by the preset step length to obtain the kth height value. Then construct two control points corresponding to the kth cleaning time period with the start time and end time of the kth cleaning time period as the abscissa and the kth height value as the ordinate; Or, For the first cleaning time period, construct two control points corresponding to the first cleaning time period with the start time and end time of the first cleaning time period as the abscissa and a preset first height value as the ordinate; For the kth cleaning time period, increase or decrease the ordinate of the control point corresponding to the end time of the (k - 1)th cleaning time period by a preset step length to obtain the kth height value, and construct two control points corresponding to the kth cleaning time period with the start time and end time of the kth cleaning time period as the abscissa and the kth height value as the ordinate, where k = 2, 3, 4,..., K.

7. The method for troubleshooting abnormal particulate matter concentration according to claim 1, wherein The step of generating a troubleshooting prompt based on the cross - time - period concentration change values corresponding to each of the cleaning time periods within the current cleaning cycle, the cross - cycle concentration change values corresponding to each chamber, and the average particulate matter concentration corresponding to the cleaning time period of each chamber includes: If the cross-period concentration change values corresponding to at least M consecutive dust cleaning periods within the current dust cleaning cycle are all positive, prompt the maintenance personnel to check whether there is a weld crack at the connection between each chamber that undergoes dust cleaning during at least M consecutive dust cleaning periods and the intermediate air duct; If there is a target chamber whose cross-cycle concentration change values corresponding to consecutive N dust cleaning cycles are all positive, prompt the maintenance personnel to check whether there is a damaged cloth bag in the chamber that was dust cleaned before the target chamber; If, within the current dust cleaning cycle, the average particulate matter concentrations corresponding to consecutive multiple dust cleaning periods of multiple target chambers exceed a preset concentration threshold, prompt the maintenance personnel to check whether there is a fallen cloth bag in the chamber that was dust cleaned before the first target chamber; If, within the current dust cleaning cycle, only the average particulate matter concentration corresponding to the dust cleaning period of one target chamber exceeds the preset concentration threshold, prompt the maintenance personnel to check whether there is a malfunction in the lift valve within the target chamber.

8. A device for detecting abnormal particulate matter concentration, characterized in that, An analysis device applied to a dust removal system, the dust removal system further including a bag filter and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device, and the bag filter includes multiple chambers and an intermediate air duct; the device includes: A data acquisition module for acquiring, during each dust cleaning cycle of the bag filter, the concentration data collected by the monitoring device during the dust cleaning cycle; the concentration data includes particulate matter concentrations at several different acquisition times; A calculation module for calculating, based on the concentration data, the average particulate matter concentration corresponding to each dust cleaning period of each chamber within the dust cleaning cycle; The calculation module is further configured to, for each dust cleaning period within the current dust cleaning cycle, calculate the difference between the average particulate matter concentration corresponding to the dust cleaning period and the average particulate matter concentration corresponding to the previous dust cleaning period adjacent to the dust cleaning period, to obtain the cross-period concentration change value corresponding to each dust cleaning period within the current dust cleaning cycle; The calculation module is further configured to, for each chamber, calculate the difference between the average particulate matter concentration corresponding to the dust cleaning period of the chamber within the current dust cleaning cycle and the average particulate matter concentration corresponding to the dust cleaning period of the chamber within the previous dust cleaning cycle, to obtain the cross-cycle concentration change value corresponding to each chamber within the current dust cleaning cycle; A prompt module for generating a troubleshooting prompt based on the cross-period concentration change values corresponding to each dust cleaning period within the current dust cleaning cycle, the cross-cycle concentration change values corresponding to each chamber, and the average particulate matter concentration corresponding to each dust cleaning period of each chamber, the troubleshooting prompt being used to prompt the maintenance personnel of the chamber to be troubleshot and the factor to be troubleshot; 9. An electronic device, characterized in that, Including: A memory and a processor, the memory storing a software program, and when the electronic device runs, the processor executes the software program to implement the troubleshooting method for abnormal particulate matter concentration according to any one of claims 1-7.

10. A dust removal system, characterized in that, The dust removal system includes an analysis device, a bag filter, and a monitoring device installed in the exhaust duct of the bag filter; the monitoring device is communicatively connected to the analysis device; The monitoring device is used to collect the particulate matter concentration of the gas discharged from the exhaust duct at a preset acquisition frequency during the operation of the bag filter, and send the particulate matter concentration collected each time to the analysis device for storage in real time; The analysis device is used to analyze the concentration data of each dust cleaning cycle of the bag filter according to the method for troubleshooting abnormal particulate matter concentration according to any one of claims 1-7.

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