Fault Detection Device, Method, Equipment and Program for the Dust Cleaning System of a Bag Filter

Abstract

The present disclosure relates to a fault detection device, method, equipment and program for a dust cleaning system of a bag filter. The device includes: a fault judgment module and a fault determination module; the fault judgment module is used to determine the operating state of the system according to the coal ash content in the dust cleaning system of the bag filter and the differential pressure data of the bag dust removal chamber in the system, and the operating state includes a fault state and a normal state; the fault determination module is used to compare the operating data of the system with preset operating data when the operating state is a fault state to determine the fault type of the system. In the above technical solution, the operating state of the system is judged by the fault judgment module of the detection device, and when it is determined that the system is in a fault state, the fault type of the system is identified by the fault determination module, realizing the fault self-diagnosis of the dust cleaning system of the bag filter, helping the staff to timely judge the cause of the fault to eliminate potential equipment safety hazards and ensuring the safe operation of the unit.

Description

Technical Field

[0001] The present disclosure relates to the technical field of equipment fault detection, and particularly to a fault detection device, method, equipment and program for a dust cleaning system of a bag filter. Background Art

[0002] In the prior art, bag filters play a key role in the waste incineration industry and are widely used in waste incineration plants to purify flue gas and control the emission of particulate matter and harmful gases. The operating environment of the bag filter system is relatively harsh. During the daily operation of the system equipment, when the equipment fails to varying degrees, it will cause the differential pressure of the bag to rise. At present, the fault judgment of the equipment completely depends on the experience of the staff. If the faults of the equipment cannot be detected and handled in time within a short period, it will pose a potential safety hazard to the unit's forced load limit operation, which is a technical problem that needs to be solved urgently at present. Summary of the Invention

[0003] To overcome the problems existing in the related art, the present disclosure provides a fault detection device, method, equipment and program for a dust cleaning system of a bag filter.

[0004] According to the first aspect of the embodiments of the present disclosure, a fault detection device for a dust cleaning system of a bag filter is provided. The device includes: a fault judgment module and a fault determination module;

[0005] The fault judgment module is used to determine the operating state of the system according to the coal ash content in the dust cleaning system of the bag filter and the differential pressure data of the bag dust removal chamber in the system. The operating state includes a fault state and a normal state;

[0006] The fault determination module is used to compare the operating data of the system with the preset operating data when the operating state is a fault state, and determine the fault type of the system.

[0007] Optionally, the system includes a plurality of the bag dust removal chambers, and the fault judgment module includes: an acquisition sub-module and a judgment sub-module;

[0008] The acquisition sub-module is used to acquire a plurality of differential pressure data of the plurality of bag dust removal chambers and acquire the coal ash content in the system;

[0009] The judgment sub-module is used to determine that the operating state of the system is a fault state when the average value of the plurality of differential pressure data is greater than the preset reference differential pressure data and when the coal ash content is less than the preset reference coal ash content data.

[0010] Optionally, the fault determination module includes: a type determination sub-module; the type determination sub-module is used for:

[0011] When the system is in a fault state, the system starts and runs a forced ash cleaning mode within a preset time period;

[0012] When the average value of the multiple differential pressure data is less than a preset reference differential pressure data, determine that the fault type is mismatch of the ash cleaning mode;

[0013] When the average value of the multiple differential pressure data is greater than or equal to the preset reference differential pressure data, stop the forced ash cleaning mode. When it is determined that the current of the Roots blower in the system is less than a preset current threshold, determine that the fault type is internal leakage of the injection solenoid valve;

[0014] When the current of the Roots blower is greater than or equal to the preset current threshold, determine that the fault type is a fault of the injection rotary motor gear.

[0015] Optionally, the fault determination module further includes: a fault handling sub-module; the fault handling sub-module is configured to:

[0016] When the fault type is mismatch of the ash cleaning mode, switch the operation mode of the system to a continuous injection mode or a forced injection mode;

[0017] When the fault type is internal leakage of the injection solenoid valve, determine the number of the faulty injection solenoid valve through the injection system fault diagnosis program to remind the staff to close the manual valve in front of the faulty injection solenoid valve and eliminate the fault of internal leakage of the solenoid valve;

[0018] When the fault type is a fault of the injection rotary motor gear, determine the number of the faulty injection rotary motor gear according to the injection transmission mechanism diagnosis program to remind the staff to check the faulty injection rotary motor gear.

[0019] Optionally,

[0020] The type determination sub-module is further configured to determine that the fault type is other faults when the injection system fault diagnosis program determines that all the injection solenoid valves in the system are normal. The other faults include one or more of a broken belt of the Roots blower, a blocked inlet filter of the Roots blower, and air leakage of the injection main pipe safety valve.

[0021] According to a second aspect of the embodiments of the present disclosure, there is provided a fault detection method for a bag filter ash cleaning system, which is applied to the bag filter ash cleaning system. The system includes a plurality of bag filter chambers. The method includes:

[0022] Obtain the ash content of the coal type in the system and a plurality of differential pressure data of the plurality of bag filter chambers;

[0023] Determine the operating state of the system according to the ash content of the coal type and the plurality of differential pressure data. The operating state includes a fault state and a normal state;

[0024] When the operating state is a fault state, compare the operating data of the system with preset operating data to determine the fault type of the system.

[0025] Optionally, the determining the operating state of the system according to the ash content of the coal type and the plurality of differential pressure data includes:

[0026] When the average value of the plurality of differential pressure data is greater than a preset reference differential pressure data, and when the ash content of the coal type is less than a preset reference coal type ash content data, determine that the operating state of the system is a fault state.

[0027] Optionally, the comparing the operating data of the system with preset operating data to determine the fault type of the system includes:

[0028] When the average value of the plurality of differential pressure data is less than a preset reference differential pressure data, determine that the fault type is that the ash cleaning mode does not match;

[0029] When the average value of the plurality of differential pressure data is greater than or equal to a preset reference differential pressure data, stop the forced ash cleaning mode, and compare the current of the Roots blower in the system with a preset current threshold;

[0030] When the current of the Roots blower in the system is less than a preset current threshold, determine that the fault type is internal leakage of the injection solenoid valve;

[0031] When the current of the Roots blower is greater than or equal to a preset current threshold, determine that the fault type is a fault of the injection rotary motor gear.

[0032] Optionally, the method further includes:

[0033] When the injection system fault diagnosis program determines that all the injection solenoid valves in the system are normal, determine that the fault type is other faults, and the other faults include one or more of a broken belt of the Roots blower, a blocked inlet filter of the Roots blower, and air leakage of the injection main pipe safety valve.

[0034] According to a third aspect of the embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the fault detection method of the bag filter ash cleaning system according to the second aspect of the embodiments of the present disclosure are implemented.

[0035] According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic device, including:

[0036] A memory, on which a computer program is stored;

[0037] A processor for executing the computer program in the memory to implement the steps of the fault detection method for the bag filter cleaning system according to the second aspect of the embodiments of the present disclosure.

[0038] According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer program product including a computer program, which when executed by a processor implements the steps of the fault detection method for the bag filter cleaning system according to the second aspect of the embodiments of the present disclosure.

[0039] In the above technical solution, the device includes a fault judgment module and a fault determination module; the fault judgment module is used to determine the operating state of the system according to the coal ash content in the bag filter cleaning system and the differential pressure data of the bag dust removal chamber in the system, and the operating state includes a fault state and a normal state; the fault determination module is used to compare the operating data of the system with preset operating data when the operating state is a fault state to determine the fault type of the system. Through the above technical solution, the fault judgment module of the detection device judges the operating state of the bag filter cleaning system, and when the fault judgment module determines that the system is in a fault state, the fault determination module identifies the fault type of the system to realize the fault self-diagnosis of the bag filter cleaning system, which can help the staff to timely judge the cause of the fault, eliminate the potential safety hazards of equipment operation, and ensure the safe operation of the unit.

[0040] Other features and advantages of the present disclosure will be described in detail in the subsequent specific implementation part. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The drawings are used to provide a further understanding of the present disclosure, and constitute a part of the specification, and are used to explain the present disclosure together with the following specific implementation manners, but do not constitute a limitation to the present disclosure. In the drawings:

[0042] Figure 1 is a block diagram of a fault detection device for a bag filter cleaning system shown according to an exemplary embodiment.

[0043] Figure 2 is a block diagram of another fault detection device for a bag filter cleaning system shown according to an exemplary embodiment.

[0044] Figure 3 is a block diagram of another fault detection device for a bag filter cleaning system shown according to an exemplary embodiment.

[0045] Figure 4 is a block diagram of yet another fault detection device for a bag filter cleaning system shown according to an exemplary embodiment.

[0046] Figure 5 It is a flowchart of a fault detection method for a pulse-jet fabric filter cleaning system shown according to an exemplary embodiment.

[0047] Figure 6 It is a flowchart of another fault detection method for a pulse-jet fabric filter cleaning system shown according to an exemplary embodiment.

[0048] Figure 7 It is a block diagram of an electronic device 700 shown according to an exemplary embodiment.

[0049] Figure 8 It is a block diagram of an electronic device 800 shown according to an exemplary embodiment. Detailed implementation manners

[0050] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0051] It can be understood that although the operations are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood as requiring the operations to be performed in the specific order shown or in a serial order, or requiring all the operations shown to obtain the desired result. In a specific environment, multitasking and parallel processing may be advantageous.

[0052] It should be noted that all actions of obtaining signals, information, or data in the present disclosure are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where it is located and obtaining the authorization given by the owner of the corresponding device.

[0053] The applicant found that the operating environment of the pulse-jet fabric filter cleaning system is relatively harsh, and the equipment of this system may have different degrees of faults during daily operation, all of which will cause the differential pressure of the fabric filter to rise. At present, whether there is a fault during the operation of the equipment only depends on the experience judgment of the staff. If a fault that is not discovered and processed in time within a short period of time occurs, it will pose a hidden danger to the safe operation of the unit with forced load limitation. And the current technical levels of the staff are uneven. Completely relying on the experience of the staff to complete the fault judgment of the pulse-jet fabric filter cleaning system may delay the fault handling time and cause the further expansion of the fault. To solve the above problems, a fault self-diagnosis device for a pulse-jet fabric filter cleaning system is proposed, and the method will be introduced below.

[0054] Figure 1It is a block diagram of a fault detection device for a bag filter cleaning system shown according to an exemplary embodiment. As Figure 1 shown, the fault detection device 100 of the bag filter cleaning system includes: a fault judgment module 101 and a fault determination module 102;

[0055] The fault judgment module 101 is used to determine the operating state of the system according to the coal ash content in the bag filter cleaning system and the differential pressure data of the bag filter chamber in the system. The operating state includes a fault state and a normal state;

[0056] The fault determination module 102 is used to compare the operating data of the system with the preset operating data when the operating state is a fault state to determine the fault type of the system.

[0057] Exemplarily, during the operation of the bag filter cleaning system, the operating state of the system is determined according to the coal ash content in the bag filter cleaning system and the differential pressure data of the bag filter chamber in the system. For example: by comparing the coal ash content with the preset reference coal ash content data, and comparing the average differential pressure of the bag filter chamber with the preset reference differential pressure data to determine whether the operating state of the system is in a fault state, where the operating state includes a fault state and a normal state; when the operating state is a fault state, the operating data of the system is compared with the preset operating data to determine the fault type of the system. It is possible to determine the fault type of the system through the fault self-diagnosis of the system, which helps the staff to judge the fault cause in time and ensure the safe operation of the unit.

[0058] Through the above technical solution, the operating state of the bag filter cleaning system is judged by the fault judgment module of the detection device. When the fault judgment module determines that the system is in a fault state, the fault type of the system is identified by the fault determination module to realize the fault self-diagnosis of the bag filter cleaning system, which can help the staff to judge the fault cause in time to eliminate the potential safety hazards of equipment operation and ensure the safe operation of the unit.

[0059] Figure 2 It is a block diagram of another fault detection device for a bag filter cleaning system shown according to an exemplary embodiment. As Figure 2 shown, the system includes a plurality of the bag filter chambers, and the fault judgment module 101 includes: an acquisition sub-module 1011 and a judgment sub-module 1012;

[0060] The acquisition sub-module 1011 is used to acquire a plurality of differential pressure data of the plurality of the bag filter chambers and acquire the coal ash content in the system;

[0061] The judgment sub-module 1012 is used to determine that the operating state of the system is a fault state when the average value of the multiple differential pressure data is greater than the preset reference differential pressure data and when the ash content of the coal type is less than the preset reference coal type ash content data.

[0062] Exemplarily, obtain the multiple differential pressure data of the multiple bag dust removal chambers and obtain the ash content of the coal type in the system; for example: a coal-fired power generation unit using bag filter technology for flue gas dust removal generally has one bag filter for each boiler, and each bag filter has 4 bag dust removal chambers respectively. Each bag dust removal chamber has 2 filter bag bundles, and the filter bag bundles are equipped with their own rotating air ducts. The flue gas enters each dust removal chamber from the corresponding inlet flue respectively, obtain the 4 differential pressure data of the 4 bag dust removal chambers, and obtain the ash content of the coal type in the system. When the average value of the multiple differential pressure data is greater than the preset reference differential pressure data and when the ash content of the coal type is less than the preset reference coal type ash content data, determine that the operating state of the system is a fault state. The preset reference differential pressure data includes a multiple of the reference differential pressure in the system, and the preset reference coal type ash content data includes a multiple of the reference coal type ash content in the system. For example: when the preset reference differential pressure data is 1.3 times the reference differential pressure and the preset reference coal type ash content data is 1.2 times the reference coal type ash content, when the average value of the 4 differential pressure data of the 4 bag dust removal chambers is greater than 1.3 times the reference differential pressure and when the ash content of the coal type is less than 1.2 times the reference coal type ash content, the operating state of the system is determined to be a fault state.

[0063] Figure 3 It is a block diagram of a fault detection device for another bag filter cleaning system shown according to an exemplary embodiment, as Figure 3 shown, the fault determination module 102 includes: a type determination sub-module 1021; the type determination sub-module 1021 is used for:

[0064] When the system is in a fault state, the system starts to operate in a forced cleaning mode within a preset time period;

[0065] When the average value of the multiple differential pressure data is less than the preset reference differential pressure data, determine that the fault type is mismatch of the cleaning mode;

[0066] When the average value of the multiple differential pressure data is greater than or equal to the preset reference differential pressure data, stop the forced cleaning mode. When it is determined that the current of the roots blower in the system is less than the preset current threshold, determine that the fault type is internal leakage of the injection solenoid valve;

[0067] When the current of the roots blower is greater than or equal to the preset current threshold, determine that the fault type is a fault of the injection rotary motor gear.

[0068] Exemplarily, the fault types of the bag filter cleaning system include one or more of mismatched cleaning modes, internal leakage of the injection solenoid valve, and faults in the injection rotary motor gear. When the system is in a fault state, the system starts and runs a forced cleaning mode within a preset time period; when the average value of the plurality of differential pressure data is less than the preset reference differential pressure data, it is determined that the fault type is a mismatched cleaning mode; when the average value of the plurality of differential pressure data is greater than or equal to the preset reference differential pressure data, the forced cleaning mode is stopped, and when it is determined that the current of the roots blower in the system is less than the preset current threshold, it is determined that the fault type is internal leakage of the injection solenoid valve; when the roots blower current is greater than or equal to the preset current threshold, it is determined that the fault type is a fault in the injection rotary motor gear. For example: The system starts and runs the forced cleaning mode for 1 hour. When the average value of the 4 differential pressure data is less than 1.3 times the reference differential pressure, it is determined that the fault type of the system is a mismatched cleaning mode; when the average value of the 4 differential pressure data is greater than or equal to 1.3 times the reference differential pressure, the forced cleaning mode is stopped, and the magnitude of the roots blower current in the system is judged. When the roots blower current is less than the preset current threshold, the fault type of the system is internal leakage of the injection solenoid valve. When the roots blower current is greater than or equal to the preset current threshold, the fault type of the system is a fault in the injection rotary motor gear, realizing the fault self-diagnosis of the bag filter cleaning system and helping the staff to judge the cause of the fault in time.

[0069] Optionally,

[0070] The type determination sub-module 1021 is further configured to determine that the fault type is other faults when the injection system fault diagnosis program determines that all the injection solenoid valves in the system are normal, and the other faults include one or more of a broken roots blower belt, a blocked roots blower inlet filter, and a leaking injection main pipe safety valve.

[0071] Exemplarily, the system includes a plurality of injection rotary solenoid valves. When all the injection solenoid valves are normal, the fault type of the system is other faults, and the other faults include one or more of a broken roots blower belt, a blocked roots blower inlet filter, and a leaking injection main pipe safety valve.

[0072] Figure 4 is a block diagram of another fault detection device for a bag filter cleaning system shown according to an exemplary embodiment, as Figure 4 shown, the fault determination module 102 further includes: a fault processing sub-module 1022; the fault processing sub-module 1022 is configured to:

[0073] When the fault type is a mismatched cleaning mode, switch the operating mode of the system to a continuous injection mode or a forced injection mode;

[0074] When the fault type is internal leakage of the injection solenoid valve, the number of the faulty injection solenoid valve is determined through the fault diagnosis program of the injection system to remind the staff to close the manual valve in front of the faulty injection solenoid valve and eliminate the fault of internal leakage of the solenoid valve;

[0075] When the fault type is a fault of the injection rotary motor gear, the number of the faulty injection rotary motor gear is determined according to the diagnosis program of the injection transmission mechanism to remind the staff to check the faulty injection rotary motor gear.

[0076] Exemplarily, in the fault detection device of the bag filter dust cleaning system, the fault determination module 102 stores the fault handling solutions corresponding to common fault types during the historical operation process. When determining the fault type of the bag filter dust cleaning system, the fault handling sub-module 1022 in the fault determination module 102 gives the corresponding fault handling solution according to the fault type. When the fault type is that the cleaning mode does not match, the operation mode of the system is switched to the continuous jetting mode or the forced jetting mode; when the fault type is internal leakage of the jetting solenoid valve, the number of the faulty jetting solenoid valve is determined through the jetting system fault diagnosis program to remind the staff to close the manual valve in front of the faulty jetting solenoid valve to eliminate the fault of internal leakage of the solenoid valve. For example: there are 8 jetting solenoid valves in 4 dust removal chambers of the system. The jetting system fault diagnosis program starts to diagnose. When the 1st jetting solenoid valve is opened and it is determined that the pressure drop value under the jetting pressure of the 1st jetting solenoid valve is less than the preset pressure, the 1st jetting solenoid valve has internal leakage, and a fault handling solution is given to close the manual valve in front of the 1st jetting solenoid valve to eliminate the fault of internal leakage of the solenoid valve. The jetting system fault diagnosis program judges the 8 jetting solenoid valves in the system one by one. When all the jetting solenoid valves are normal, the fault type of the system is other faults, and the other faults include one or more of the breakage of the Roots blower belt, the blockage of the Roots blower inlet filter screen, and the air leakage of the jetting main pipe safety valve. When the fault is the breakage of the Roots blower belt, a fault handling solution is given, and the staff checks the Roots blower belt and replaces it. When the fault is the blockage of the Roots blower inlet filter screen, a fault handling solution is given, and the staff checks the Roots blower inlet filter screen and cleans the filter screen. When the fault is the air leakage of the jetting main pipe safety valve, a fault handling solution is given, and the staff checks the jetting main pipe safety valve and closes the manual valve in front of the safety valve slightly; when the fault type is the fault of the jetting rotary motor gear, the number of the faulty jetting rotary motor gear is determined according to the jetting transmission mechanism diagnosis program to remind the staff to check the faulty jetting rotary motor gear. For example: when the jetting transmission mechanism diagnosis program starts, the differential pressure data of 4 dust removal chambers in the system are compared with the average value of the 4 differential pressure data. If the differential pressure data of the 1st dust removal chamber is greater than the average value of the 4 differential pressure data, and the differential pressure data of the 1st dust removal chamber is greater than 1.3 times the reference differential pressure, the 1 / 2 jetting rotary motor gear corresponding to the 1st dust removal chamber has a fault, and a handling suggestion is given. The staff checks the faulty jetting section rotary motor gear. The judgment methods of the other 3 dust removal chambers are the same as that of the 1st dust removal chamber and will not be elaborated; it can help the staff timely judge the fault type and give the corresponding fault handling solution at the same time, timely eliminate the potential safety hazards of equipment operation, and ensure the safe operation of the unit.

[0077] Through the above technical solution, the operation status of the pulse-jet fabric filter cleaning system is judged by the fault judgment module of the detection device. When the fault judgment module determines that the system is in a fault state, the fault type of the system is identified by the fault determination module, so as to realize the fault self-diagnosis of the pulse-jet fabric filter cleaning system, which can help the staff to timely judge the cause of the fault, eliminate the potential safety hazards of equipment operation, and ensure the safe operation of the unit.

[0078] Figure 5 is a flowchart of a fault detection method for a pulse-jet fabric filter cleaning system shown according to an exemplary embodiment, as Figure 5 shown, applied to the pulse-jet fabric filter cleaning system, which includes a plurality of pulse-jet fabric filter chambers, and the method includes:

[0079] In step S11, the ash content of the coal type in the system and a plurality of differential pressure data of the plurality of pulse-jet fabric filter chambers are obtained.

[0080] In step S12, according to the ash content of the coal type and the plurality of differential pressure data, the operation status of the system is determined, and the operation status includes a fault state and a normal state.

[0081] In step S13, when the operation status is a fault state, the operation data of the system is compared with the preset operation data to determine the fault type of the system.

[0082] Exemplarily, the pulse-jet fabric filter cleaning system includes a plurality of pulse-jet fabric filter chambers. The ash content of the coal type in the system and a plurality of differential pressure data of the plurality of pulse-jet fabric filter chambers are obtained. According to the ash content of the coal type and the plurality of differential pressure data, the operation status of the system is determined, and the operation status includes a fault state and a normal state. When the operation status is a fault state, the operation data of the system is compared with the preset operation data to determine the fault type of the system, so as to realize the fault self-diagnosis of the pulse-jet fabric filter cleaning system, which can help the staff to timely judge the cause of the fault and ensure the safe operation of the unit.

[0083] Optionally, in step S12, it includes:

[0084] When the average value of the plurality of differential pressure data is greater than the preset reference differential pressure data and the ash content of the coal type is less than the preset reference coal type ash content data, it is determined that the operation status of the system is a fault state.

[0085] Exemplarily, the preset reference differential pressure data includes a multiple of the reference differential pressure in the system, and the preset reference coal ash data includes a multiple of the reference coal ash in the system. For example, the bag filter cleaning system includes 4 bag filter chambers, 4 differential pressure data of the 4 bag filter chambers are obtained, and the coal ash in the system is obtained. When the average value of the 4 differential pressure data of the 4 bag filter chambers is greater than the preset reference differential pressure data, and when the coal ash is less than the preset reference coal ash data, the operating state of the system is determined to be a fault state.

[0086] Figure 6 is a flowchart of another method for detecting faults in a bag filter cleaning system according to an exemplary embodiment, as Figure 6 shown, in the step S13, it includes:

[0087] In step S131, when the average value of the multiple differential pressure data is less than the preset reference differential pressure data, the fault type is determined to be an unmatched cleaning mode;

[0088] In step S132, when the average value of the multiple differential pressure data is greater than or equal to the preset reference differential pressure data, the forced cleaning mode is stopped, and the current of the roots blower in the system is compared with the preset current threshold;

[0089] In step S133, when the current of the roots blower in the system is less than the preset current threshold, the fault type is determined to be an internal leakage of the injection solenoid valve;

[0090] In step S134, when the current of the roots blower is greater than or equal to the preset current threshold, the fault type is determined to be a fault of the injection rotary motor gear.

[0091] Exemplarily, when the average value of the multiple differential pressure data is less than the preset reference differential pressure data, the fault type is determined to be an unmatched cleaning mode. When the average value of the multiple differential pressure data is greater than or equal to the preset reference differential pressure data, the forced cleaning mode is stopped, and the current of the roots blower in the system is compared with the preset current threshold. When the current of the roots blower in the system is less than the preset current threshold, the fault type is determined to be an internal leakage of the injection solenoid valve. When the current of the roots blower is greater than or equal to the preset current threshold, the fault type is determined to be a fault of the injection rotary motor gear.

[0092] Optionally, the method further includes:

[0093] When the injection system fault diagnosis program determines that all the injection solenoid valves in the system are normal, the fault type is determined to be other faults, and the other faults include one or more of a broken roots blower belt, a blocked roots blower inlet filter, and a leaking injection main pipe safety valve.

[0094] Through the above technical solution, the operation state of the dust cleaning system of the bag filter is judged by the fault judgment module of the detection device. When the fault judgment module determines that the system is in a fault state, the fault type of the system is identified by the fault determination module, so as to realize the fault self-diagnosis of the dust cleaning system of the bag filter, which can help the staff to judge the fault reason in time, eliminate the potential safety hazards of equipment operation, and ensure the safe operation of the unit.

[0095] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment related to the method, and will not be elaborated here.

[0096] Figure 7 is a block diagram of an electronic device 700 shown according to an exemplary embodiment. As Figure 7 shown, the electronic device 700 may include: a processor 701, a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.

[0097] Among them, the processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned fault detection method for the pulse-jet fabric filter cleaning system. The memory 702 is used to store various types of data to support the operation of the electronic device 700. These data may include, for example, instructions for any application or method operating on the electronic device 700, as well as application-related data, such as contact data, messages sent and received, pictures, audio, video, and so on. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc. The multimedia component 703 may include a screen and an audio component. The screen may be a touch screen, for example, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IoT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited herein. Accordingly, the communication component 705 may include: a Wi-Fi module, a Bluetooth module, an NFC module, and so on.

[0098] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the fault detection method of the bag filter cleaning system described above.

[0099] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When the program instructions are executed by a processor, the steps of the fault detection method of the bag filter cleaning system described above are implemented. For example, the computer-readable storage medium can be the memory 702 including the program instructions described above, and the above program instructions can be executed by the processor 701 of the electronic device 700 to complete the fault detection method of the bag filter cleaning system described above.

[0100] Figure 8 is a block diagram of an electronic device 800 shown according to an exemplary embodiment. For example, the electronic device 800 can be provided as a server. Referring to Figure 8 , the electronic device 800 includes a processor 822, the number of which can be one or more, and a memory 832 for storing computer programs executable by the processor 822. The computer programs stored in the memory 832 can include one or more modules each corresponding to a set of instructions. In addition, the processor 822 can be configured to execute the computer program to execute the fault detection method of the bag filter cleaning system described above.

[0101] In addition, the electronic device 800 can further include a power supply component 826 and a communication component 850. The power supply component 826 can be configured to perform power management of the electronic device 800, and the communication component 850 can be configured to implement communication of the electronic device 800, for example, wired or wireless communication. In addition, the electronic device 800 can further include an input / output (I / O) interface 858. The electronic device 800 can operate based on the operating system stored in the memory 832.

[0102] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When the program instructions are executed by a processor, the steps of the fault detection method for the bag filter cleaning system described above are implemented. For example, the non-transitory computer-readable storage medium may be the memory 832 including the program instructions described above, and the program instructions may be executed by the processor 822 of the electronic device 800 to complete the fault detection method for the bag filter cleaning system described above.

[0103] In another exemplary embodiment, a computer program product is further provided. The computer program product includes a computer program that can be executed by a programmable device. The computer program has a code portion for executing the fault detection method for the bag filter cleaning system described above when executed by the programmable device.

[0104] The preferred embodiments of the present disclosure have been described in detail above in conjunction with the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0105] In addition, it should be noted that, in the various specific technical features described in the above specific embodiments, they can be combined in any appropriate manner without conflict. To avoid unnecessary repetition, the present disclosure will not separately describe various possible combination manners.

[0106] In addition, any combination can be made between various different embodiments of the present disclosure as long as it does not violate the idea of the present disclosure, and it should also be regarded as the content disclosed by the present disclosure.

Claims

1. A fault detection device for the dust cleaning system of a bag filter, characterized in that, The device includes: a fault judgment module and a fault determination module; The fault judgment module is used to determine the operating state of the system according to the coal ash content in the bag filter cleaning system and the differential pressure data of the bag dust removal chamber in the system, and the operating state includes a fault state and a normal state; The fault determination module is used to compare the operating data of the system with preset operating data when the operating state is a fault state to determine the fault type of the system; the fault type includes one or more of mismatched cleaning modes, internal leakage of the injection solenoid valve, and faults in the injection rotary motor gear; Wherein, the system includes a plurality of the bag dust removal chambers, and the fault judgment module includes: an acquisition sub-module and a judgment sub-module; The acquisition sub-module is used to acquire a plurality of differential pressure data of the plurality of bag dust removal chambers and acquire the coal ash content in the system; The judgment sub-module is used to determine that the operating state of the system is a fault state when the average value of the plurality of differential pressure data is greater than a preset reference differential pressure data and when the coal ash content is less than a preset reference coal ash content data; The fault determination module includes: a type determination sub-module; the type determination sub-module is used for: When the system is in a fault state, the system starts and runs a forced cleaning mode within a preset time period; When the average value of the plurality of differential pressure data is less than a preset reference differential pressure data, it is determined that the fault type is a mismatched cleaning mode; When the average value of the plurality of differential pressure data is greater than or equal to a preset reference differential pressure data, the forced cleaning mode is stopped, and when it is determined that the current of the roots blower in the system is less than a preset current threshold, it is determined that the fault type is internal leakage of the injection solenoid valve; When the current of the roots blower is greater than or equal to a preset current threshold, it is determined that the fault type is a fault in the injection rotary motor gear.

2. The device according to claim 1, characterized in that, The fault determination module further includes: a fault handling sub-module; the fault handling sub-module is used for: When the fault type is a mismatched cleaning mode, the operating mode of the system is switched to a continuous injection mode or a forced injection mode; When the fault type is internal leakage of the injection solenoid valve, the number of the faulty injection solenoid valve is determined through a fault diagnosis program of the injection system to remind the staff to close the manual valve in front of the faulty injection solenoid valve to eliminate the fault of internal leakage of the solenoid valve; When the fault type is a fault in the injection rotary motor gear, the number of the faulty injection rotary motor gear is determined according to the injection drive mechanism diagnosis program to remind the staff to check the faulty injection rotary motor gear.

3. The device according to claim 1, wherein The type determination sub-module is further used to determine that the fault type is other faults when the injection system fault diagnosis program determines that all the injection solenoid valves in the system are normal, and the other faults include one or more of a broken roots blower belt, a blocked roots blower inlet filter screen, and air leakage of the injection main pipe safety valve.

4. A fault detection method for the dust cleaning system of a bag filter, characterized in that, Applied to the bag filter cleaning system, the system includes a plurality of bag dust removal chambers, and the method includes: Obtain the ash content of the coal type in the system and the differential pressure data of the multiple bag dust removal chambers; Determine the operating state of the system according to the ash content of the coal type and the multiple differential pressure data, where the operating state includes a fault state and a normal state; When the operating state is a fault state, compare the operating data of the system with preset operating data to determine the fault type of the system; the fault type includes one or more of an unmatched cleaning mode, internal leakage of the injection solenoid valve, and a fault in the injection rotary motor gear; Among them, the determining the operating state of the system according to the ash content of the coal type and the multiple differential pressure data includes: When the average value of the multiple differential pressure data is greater than the preset reference differential pressure data and when the ash content of the coal type is less than the preset reference coal type ash content data, determine that the operating state of the system is a fault state; The comparing the operating data of the system with preset operating data to determine the fault type of the system includes: When the average value of the multiple differential pressure data is less than the preset reference differential pressure data, determine that the fault type is an unmatched cleaning mode; When the average value of the multiple differential pressure data is greater than or equal to the preset reference differential pressure data, stop the forced cleaning mode and compare the current of the roots blower in the system with the preset current threshold; When the current of the roots blower in the system is less than the preset current threshold, determine that the fault type is internal leakage of the injection solenoid valve; When the roots blower current is greater than or equal to the preset current threshold, determine that the fault type is a fault in the injection rotary motor gear.

5. The method according to claim 4, characterized in that, The method further includes: When the injection system fault diagnosis program determines that all the injection solenoid valves in the system are normal, determine that the fault type is other faults, and the other faults include one or more of a broken roots blower belt, a blocked roots blower inlet filter, and a leaking injection header safety valve.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 4-5.

7. An electronic device, characterized in that, Including: A memory, on which a computer program is stored; A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 4-5.

8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 4-5.

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