Self-healing processing method and system for abnormal working condition of coal mill

Abstract

The invention relates to a coal mill abnormal working condition self-healing processing method and system, and the method comprises the steps: obtaining coal mill data in a thermal generator set; based on the data of the coal mill, detecting whether the thermal generator set has a coal feeding quantity fault or not through an artificial intelligence calculation model; if the coal feeding amount fault occurs, closing the coal feeder related to the coal feeding amount fault, stopping the coal milling step sequence of the corresponding coal mill, and ensuring the safety of the outlet temperature of the coal mill; and the standby coal mill is started, and the coal feeder is started under the condition that the safety of the standby coal mill is guaranteed. According to the method and the device, the coal feed quantity fault of the thermal power generating unit is detected by utilizing the artificial intelligence calculation model, the faulted coal mill is shut down in time under the condition that the fault occurs, meanwhile, the coal mill is quickly recovered to normal operation, the downtime caused by the fault is reduced, the overall operation efficiency and reliability of equipment are improved, and the economic benefit is increased. The problem of how to reduce the influence of the coal mill fault on the production progress of the thermal power generating unit is solved.

Description

Technical Field

[0001] The present application relates to the field of industrial production technology, and in particular to a method and system for self-healing abnormal operating conditions of a coal mill. Background Art

[0002] In modern industrial production processes, the stable operation of equipment is crucial to ensuring production efficiency and product quality. However, as the equipment is used for a longer period of time, various failures and abnormal operating conditions are difficult to avoid.

[0003] Traditional equipment maintenance methods mainly rely on regular inspections and passive maintenance, which often make it difficult to detect potential faults in a timely manner, which can easily lead to sudden equipment failures, affect production progress, and even cause safety accidents. Therefore, how to effectively perform equipment status detection and fault warning has become the focus of the industry.

[0004] Currently, no effective solution has been proposed in the relevant technologies on how to reduce the impact of coal mill failure on the production progress of thermal power units. Summary of the invention

[0005] The embodiments of the present application provide a method and system for self-healing treatment of abnormal operating conditions of a coal mill, so as to at least solve the problem in the related art of how to reduce the impact of coal mill failure on the production progress of a thermal power unit.

[0006] In a first aspect, an embodiment of the present application provides a method for self-healing abnormal working conditions of a coal mill, the method comprising:

[0007] Obtain coal mill data in thermal power generating units;

[0008] Based on the coal mill data, detecting whether a coal supply failure occurs in the thermal power generating unit through an artificial intelligence calculation model;

[0009] If the coal feeding failure occurs, the coal feeder involved in the coal feeding failure is shut down, the coal grinding step of the corresponding coal mill is stopped and the outlet temperature of the coal mill is ensured to be safe;

[0010] Start the standby coal mill, and start the coal feeder while ensuring the safety of the standby coal mill.

[0011] In some embodiments, based on the coal mill data, detecting whether the coal feed failure occurs in the thermal power generating set by using an artificial intelligence calculation model includes:

[0012] Based on the coal mill data, the coal shortage fault detection of the thermal power generating set is performed through the artificial intelligence calculation model, and the coal blockage fault detection of the thermal power generating set is performed through the artificial intelligence calculation model;

[0013] If the thermal power generating set has the coal shortage fault and / or the coal blockage fault, it is determined that the thermal power generating set has a coal supply failure.

[0014] In some embodiments, based on the coal mill data, performing coal failure fault detection on the thermal power generating unit by using an artificial intelligence calculation model includes:

[0015] Based on the coal mill data, the coal feed rate of the thermal power generating set is detected through an artificial intelligence calculation model. If it is detected that the decrease in the coal feed rate is greater than a preset threshold, a coal shortage fault occurs in the thermal power generating set.

[0016] In some embodiments, based on the coal mill data, performing coal blocking fault detection on the thermal power generating unit by using an artificial intelligence calculation model includes:

[0017] Based on the coal mill data, coal blockage fault detection is performed on the thermal power generating set through an artificial intelligence calculation model. If abnormal fluctuations are detected in at least one of the coal mill inlet and outlet air volume, coal mill current, coal mill outlet temperature and coal mill ventilation resistance, a coal blockage fault occurs in the thermal power generating set.

[0018] In some embodiments, shutting down the coal feeder involved in the coal feed rate failure includes:

[0019] Shut down the ACG control of the coal feeder involved in the coal feed rate failure, and gradually reduce the coal feed rate of the coal feeder until the coal feeder is shut down.

[0020] In some embodiments, stopping the coal grinding sequence of the corresponding coal mill includes:

[0021] The separator speed of the corresponding coal mill is gradually reduced until the separator is closed. When the current of the coal mill is less than the preset current threshold, the grinding roller of the coal mill is raised, the hot air damper opening is gradually closed to the first opening, and the cold air damper opening is gradually opened to the second opening.

[0022] In some embodiments, ensuring the outlet temperature of the coal mill is safe includes:

[0023] If the outlet temperature of the coal mill is greater than a preset temperature threshold, the fire extinguishing steam stop valve of the coal mill is opened and kept for a preset time, and then the fire extinguishing steam stop valve is closed;

[0024] If the outlet temperature of the coal mill is on a downward trend, the hot air pneumatic isolation door and the cold air pneumatic isolation door are adjusted to shut down the coal mill, lower the grinding roller of the coal mill and open the hydraulic reversing valve.

[0025] In some embodiments, starting the standby coal mill includes:

[0026] Start the low-speed oil pump, loading oil pump and separator of the standby coal mill, open the sealing damper of the standby coal mill, the variable loading solenoid valve of the hydraulic station and the pneumatic gate valve of the pebble coal hopper, and close the sealed bin of the pebble coal hopper;

[0027] The hot air damper opening and the cold air damper opening of the standby coal mill are adjusted to enter the ignition mode.

[0028] In some embodiments, while ensuring the safety of the standby coal mill, starting the coal feeder includes:

[0029] The hydraulic reversing valve of the standby coal mill is closed, and the grinding roller of the standby coal mill is raised to start the standby coal mill and the coal feeder.

[0030] In a second aspect, an embodiment of the present application provides a self-healing processing system for abnormal working conditions of a coal mill, the system being used to execute the method described in any one of the first aspects above, the system comprising a data acquisition module, a fault detection module and a self-healing processing module;

[0031] The data acquisition module is used to acquire the coal mill data in the thermal power generating set;

[0032] The fault detection module is used to detect whether a coal supply failure occurs in the thermal power generating unit through an artificial intelligence calculation model according to the coal mill data;

[0033] The self-healing processing module is used to shut down the coal feeder involved in the coal feed failure, stop the coal grinding step of the corresponding coal mill and ensure the safety of the outlet temperature of the coal mill if the coal feed failure occurs;

[0034] The self-healing processing module is used to start the standby coal mill and start the coal feeder while ensuring the safety of the standby coal mill.

[0035] Compared with the related art, the embodiment of the present application provides a method and system for self-healing processing of abnormal operating conditions of a coal mill, wherein the method obtains coal mill data in a thermal power generating set; based on the coal mill data, detects whether a coal feed failure occurs in the thermal power generating set through an artificial intelligence calculation model; if a coal feed failure occurs, shuts down the coal feeder involved in the coal feed failure, stops the coal grinding sequence of the corresponding coal mill and ensures the safety of the outlet temperature of the coal mill; starts the standby coal mill, and starts the coal feeder while ensuring the safety of the standby coal mill, thereby realizing the use of an artificial intelligence calculation model to detect the coal feed failure of the thermal power unit, shuts down the faulty coal mill in time when a failure occurs, and quickly restores the coal mill to normal operation, thereby improving the automatic response capability of the coal mill under abnormal conditions, reducing the downtime caused by the failure, improving the overall operating efficiency and reliability of the equipment, and solving the problem of how to reduce the impact of coal mill failure on the production progress of the thermal power unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0037] Figure 1 is a flowchart of the steps of the method for self-healing treatment of abnormal working conditions of a coal mill according to an embodiment of the present application;

[0038] Figure 2 is a structural block diagram of a coal mill abnormal operating condition self-healing processing system according to an embodiment of the present application;

[0039] Figure 3 It is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0041] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0042] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0043] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0044] The present application provides a method for self-healing abnormal working conditions of a coal mill. Figure 1 is a flowchart of the steps of the method for self-healing treatment of abnormal working condition of a coal mill according to an embodiment of the present application, such as Figure 1As shown, the method comprises the following steps:

[0045] Step S102, obtaining coal mill data in the thermal power generating unit;

[0046] Step S104, based on the coal mill data, detecting whether a coal supply failure occurs in the thermal power generating unit through an artificial intelligence calculation model;

[0047] Step S104 specifically includes the following steps:

[0048] Step S1041, based on the coal mill data, the artificial intelligence calculation model is used to detect the coal shortage fault of the thermal power generating set, and the artificial intelligence calculation model is used to detect the coal blockage fault of the thermal power generating set;

[0049] Step S1042: If the thermal power generating unit has a coal shortage fault and / or a coal blockage fault, it is determined that the thermal power generating unit has a coal supply fault.

[0050] Step S1042 specifically, ① based on the coal mill data, the coal feeding amount of the thermal power generating set is detected through the artificial intelligence calculation model. If the decrease in the coal feeding amount is detected to be greater than the preset threshold, the thermal power generating set has a coal shortage fault. ② based on the coal mill data, the coal blocking fault of the thermal power generating set is detected through the artificial intelligence calculation model. If at least one of the coal mill inlet and outlet air volume, coal mill current, coal mill outlet temperature and coal mill ventilation resistance is detected to have an abnormal fluctuation, the thermal power generating set has a coal blocking fault.

[0051] It should be noted that the function of the coal feeder (also called coal supply machine or coal feeding machine) in the thermal power generating unit is to evenly transport the coal from the coal storage area to the coal mill. The purpose of the design of the coal feeder is to ensure that the coal can be supplied to the next process, namely the coal grinding process, at a stable speed and quantity. The coal feeder can be in many forms (such as belt feeder, vibrating coal feeder, etc.). The function of the coal mill is to grind the coal into powder for easy combustion. There are also many types of coal mills (such as ball mills, medium-speed mills, high-speed mills, etc.). The ground coal powder is easier to mix with air, thereby improving combustion efficiency and reducing pollutant emissions.

[0052] Workflow: In actual operation, coal first enters the coal mill through the coal feeder and is ground into fine particles inside the coal mill. These fine coal particles are then carried away by hot air and transported to the burner through pipes for combustion. This series of processes is monitored and adjusted by the control system to ensure the stability of coal supply and the quality of ground coal.

[0053] Step S106: if a coal feed failure occurs, the coal feeder involved in the coal feed failure is turned off, the coal grinding sequence of the corresponding coal mill is stopped, and the outlet temperature of the coal mill is ensured to be safe;

[0054] Step S106 specifically includes the following steps:

[0055] Step S1061, shut down the ACG control of the coal feeder involved in the coal feed rate failure, and gradually reduce the coal feed rate of the coal feeder until the coal feeder is shut down.

[0056] In step S1061, preferably, the AGC control of the coal feeder involved in the coal feed failure is turned off, and the load command of the thermal power unit is automatically reduced to 80% of the current load command to prevent other coal mills from operating beyond capacity; the coal feeder is reduced to less than 20 t / h at a rate of 10 t / h per minute based on the current coal feed, and the coal feeder entrance door is closed to stop the coal feeder.

[0057] It should be noted that AGC control refers to Automatic Combustion Control. In thermal power plants, the automatic combustion control system is used to optimize the boiler combustion process to ensure the best use of fuel and reduce pollutant emissions. The coal feeder and coal mill are key equipment for providing pulverized coal, and their operating status directly affects the combustion effect.

[0058] Step S1062, gradually reduce the separator speed of the corresponding coal mill until the separator is closed, and when the current of the coal mill is less than the preset current threshold, raise the grinding roller of the coal mill, gradually close the hot air valve opening to the first opening, and gradually open the cold air valve opening to the second opening.

[0059] Preferably, in step S1062, the separator of the corresponding coal mill is gradually lowered to 100r / min, and the separator is stopped after the speed drops; when the coal mill current is less than 40A, the grinding roller of the coal mill is raised; the hot air valve opening is gradually closed to 4% at a rate of 10% / min, and the cold air valve opening is gradually opened to 100% at a rate of 25% / min.

[0060] Step S1063, if the outlet temperature of the coal mill is greater than the preset temperature threshold, the fire extinguishing steam stop valve of the coal mill is opened and maintained for a preset time, and then the fire extinguishing steam stop valve is closed; if the outlet temperature of the coal mill is on a downward trend, the hot air pneumatic isolation door and the cold air pneumatic isolation door are adjusted to shut down the coal mill, the grinding roller of the coal mill is lowered and the hydraulic reversing valve is opened.

[0061] Preferably, step S1063 determines whether the outlet temperature of the coal mill is greater than 90°C. If the outlet temperature of the coal mill is greater than 90°C, the fire extinguishing steam stop valve of the coal mill is opened and delayed for 1 minute, and then the fire extinguishing steam stop valve of the coal mill is closed; if the outlet temperature of the coal mill is on a downward trend, the hot air pneumatic isolation door is closed, the cold air pneumatic isolation door is set to 40% to shut down the coal mill and delay for 30S, the grinding roller of the coal mill is lowered and delayed for 60S, and the hydraulic reversing valve is opened.

[0062] Step S108, start the standby coal mill, and start the coal feeder while ensuring the safety of the standby coal mill.

[0063] Step S108 specifically includes the following steps:

[0064] Step S1081, start the low-speed oil pump, loading oil pump and separator of the standby coal mill, open the sealing damper of the standby coal mill, the hydraulic station variable loading solenoid valve and the pneumatic gate valve of the pebble coal hopper, and close the sealed bin of the pebble coal hopper; adjust the hot air regulating valve opening and the cold air regulating valve opening of the standby coal mill to enter the ignition mode.

[0065] Preferably, step S1081 starts the low-speed oil pump of the standby coal mill, starts the loading oil pump of the standby coal mill, opens the sealing damper of the standby coal mill, starts the separator of the standby coal mill and sets the frequency converter to 250r / min, opens the hydraulic station variable loading solenoid valve of the standby coal mill; opens the first and second stage pneumatic gate valves of the gravel coal hopper of the standby coal mill, closes the gravel coal hopper sealing bin, and opens the outlet door of the standby coal mill in sequence at intervals of 2s; opens the cold and hot air pneumatic isolation doors of the standby coal mill, sets the cold air regulating valve opening to 40% and the hot air regulating valve opening to 2%, sets the secondary damper of the standby coal mill to the ignition position, puts it into plasma ignition mode, the inlet air volume is greater than 50t / h, and the arc is started at intervals of 5s.

[0066] Step S1082, closing the hydraulic reversing valve of the standby coal mill and raising the grinding roller of the standby coal mill to start the standby coal mill and the coal feeder.

[0067] In step S1082, preferably, the hydraulic reversing valve of the standby coal mill is closed, the grinding roller of the standby coal mill is raised, and the hot standby coal mill startup conditions are met, the standby coal mill is started, the corresponding coal feeder of the standby coal mill is started and the coal feeder is set to 15t / h, the inlet door and outlet door of the coal feeder are opened, and the grinding roller is lowered after a delay of 120s; the relevant secondary air gates of the standby coal mill are automatically put into operation.

[0068] Through the above steps in the embodiments of the present application, combined with advanced sensing technology, data analysis technology and artificial intelligence algorithms, it is possible to detect the operating status of the thermal power unit in real time, identify potential fault hazards (such as coal feed failure), and issue an early warning before the fault occurs. In the event of a fault, the faulty coal mill can be shut down in time, and the coal mill can be quickly restored to normal operation, thereby improving the automatic response capability of the coal mill under abnormal conditions, reducing the downtime caused by faults, minimizing the impact of faults on production, improving the overall operating efficiency and reliability of the equipment, and solving the problem of how to reduce the impact of coal mill failures on the production progress of thermal power units.

[0069] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0070] The embodiment of the present application provides a self-healing processing system for abnormal working conditions of a coal mill. Figure 2 is a structural block diagram of a coal mill abnormal operating condition self-healing processing system according to an embodiment of the present application, such as Figure 2 As shown, the system includes a data acquisition module, a fault detection module and a self-healing processing module;

[0071] A data acquisition module is used to acquire coal mill data in a thermal power generating unit;

[0072] The fault detection module is used to detect whether a coal feed failure occurs in a thermal power generating unit through an artificial intelligence calculation model based on coal mill data;

[0073] The self-healing processing module is used to shut down the coal feeder involved in the coal feed failure, stop the coal grinding step of the corresponding coal mill and ensure the safety of the outlet temperature of the coal mill if a coal feed failure occurs;

[0074] The self-healing processing module is used to start the standby coal mill and start the coal feeder while ensuring the safety of the standby coal mill.

[0075] Through the data acquisition module, fault detection module and self-healing processing module in the embodiments of the present application, combined with advanced sensing technology, data analysis technology and artificial intelligence algorithm, it is possible to detect the operating status of the thermal power unit in real time, identify potential fault hazards (such as coal feed failure), and issue an early warning before the fault occurs. In the event of a fault, the faulty coal mill can be shut down in time, and the coal mill can be quickly restored to normal operation, thereby improving the automatic response capability of the coal mill under abnormal conditions, reducing the downtime caused by faults, minimizing the impact of faults on production, and improving the overall operating efficiency and reliability of the equipment, thereby solving the problem of how to reduce the impact of coal mill failures on the production progress of thermal power units.

[0076] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0077] This embodiment further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0078] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0079] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0080] In addition, in combination with the coal mill abnormal condition self-healing processing method in the above embodiment, the embodiment of the present application can provide a storage medium for implementation. The storage medium stores a computer program; when the computer program is executed by the processor, any one of the coal mill abnormal condition self-healing processing methods in the above embodiment is implemented.

[0081] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for self-healing abnormal working conditions of a coal mill is implemented. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0082] In one embodiment, Figure 3 is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application, such as Figure 3As shown, an electronic device is provided, which may be a server, and its internal structure diagram may be as shown in Figure 3 As shown. The electronic device includes a processor, a network interface, an internal memory and a non-volatile memory connected through an internal bus, wherein the non-volatile memory stores an operating system, a computer program and a database. The processor is used to provide computing and control capabilities, the network interface is used to communicate with an external terminal through a network connection, the internal memory is used to provide an environment for the operation of the operating system and the computer program, the computer program is executed by the processor to implement a method for self-healing abnormal working conditions of a coal mill, and the database is used to store data.

[0083] Those skilled in the art will understand that Figure 3 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0084] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0085] Those skilled in the art should understand that the technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0086] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for self-healing abnormal working condition of a coal mill, characterized in that: The method comprises: Obtain coal mill data in thermal power generating units; Based on the coal mill data, detecting whether a coal supply failure occurs in the thermal power generating unit through an artificial intelligence calculation model; If the coal feeding failure occurs, the coal feeder involved in the coal feeding failure is shut down, the coal grinding step of the corresponding coal mill is stopped and the outlet temperature of the coal mill is ensured to be safe; Start the standby coal mill, and start the coal feeder while ensuring the safety of the standby coal mill.

2. The method according to claim 1, characterized in that Based on the coal mill data, detecting whether the coal supply failure occurs in the thermal power generating unit through an artificial intelligence calculation model includes: Based on the coal mill data, the coal shortage fault detection of the thermal power generating set is performed through the artificial intelligence calculation model, and the coal blockage fault detection of the thermal power generating set is performed through the artificial intelligence calculation model; If the thermal power generating set has the coal shortage fault and / or the coal blockage fault, it is determined that the thermal power generating set has a coal supply failure.

3. The method according to claim 2, characterized in that Based on the coal mill data, the coal failure fault detection of the thermal power generating unit is performed by using an artificial intelligence calculation model, including: Based on the coal mill data, the coal feed rate of the thermal power generating set is detected through an artificial intelligence calculation model. If it is detected that the decrease in the coal feed rate is greater than a preset threshold, a coal shortage fault occurs in the thermal power generating set.

4. The method according to claim 2, characterized in that: Based on the coal mill data, the coal blocking fault detection of the thermal power generating unit is performed by using an artificial intelligence calculation model, including: Based on the coal mill data, coal blockage fault detection is performed on the thermal power generating set through an artificial intelligence calculation model. If abnormal fluctuations are detected in at least one of the coal mill inlet and outlet air volume, coal mill current, coal mill outlet temperature and coal mill ventilation resistance, a coal blockage fault occurs in the thermal power generating set.

5. The method according to claim 1, characterized in that The coal feeders involved in shutting down the coal feeding failure include: Shut down the ACG control of the coal feeder involved in the coal feed rate failure, and gradually reduce the coal feed rate of the coal feeder until the coal feeder is shut down.

6. The method according to claim 5, characterized in that The coal grinding steps for stopping the corresponding coal mill include: The separator speed of the corresponding coal mill is gradually reduced until the separator is closed. When the current of the coal mill is less than the preset current threshold, the grinding roller of the coal mill is raised, the hot air damper opening is gradually closed to the first opening, and the cold air damper opening is gradually opened to the second opening.

7. The method according to claim 6, characterized in that And ensuring the outlet temperature of the coal mill is safe includes: If the outlet temperature of the coal mill is greater than a preset temperature threshold, the fire extinguishing steam stop valve of the coal mill is opened and kept for a preset time, and then the fire extinguishing steam stop valve is closed; If the outlet temperature of the coal mill is on a downward trend, the hot air pneumatic isolation door and the cold air pneumatic isolation door are adjusted to shut down the coal mill, lower the grinding roller of the coal mill and open the hydraulic reversing valve.

8. The method according to claim 1, characterized in that Starting up the standby coal mill includes: Start the low-speed oil pump, loading oil pump and separator of the standby coal mill, open the sealing damper of the standby coal mill, the variable loading solenoid valve of the hydraulic station and the pneumatic gate valve of the pebble coal hopper, and close the sealed bin of the pebble coal hopper; The hot air damper opening and the cold air damper opening of the standby coal mill are adjusted to enter the ignition mode.

9. The method according to claim 8, characterized in that Under the condition of ensuring the safety of the standby coal mill, starting the coal feeder includes: The hydraulic reversing valve of the standby coal mill is closed, and the grinding roller of the standby coal mill is raised to start the standby coal mill and the coal feeder.

10. A coal mill abnormal condition self-healing processing system, characterized in that: The system is used to execute the method according to any one of claims 1 to 9, and the system comprises a data acquisition module, a fault detection module and a self-healing processing module; The data acquisition module is used to acquire the coal mill data in the thermal power generating set; The fault detection module is used to detect whether a coal supply failure occurs in the thermal power generating unit through an artificial intelligence calculation model according to the coal mill data; The self-healing processing module is used to shut down the coal feeder involved in the coal feed failure, stop the coal grinding step of the corresponding coal mill and ensure the safety of the outlet temperature of the coal mill if the coal feed failure occurs; The self-healing processing module is used to start the standby coal mill and start the coal feeder while ensuring the safety of the standby coal mill.

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