A one-key start-stop control method and system for a pulverizing system of a thermal power plant

Abstract

The application discloses a one-key start-stop control method of a pulverizing system of a thermal power plant, and the method comprises the following steps: S1, inputting a warm grinding completion temperature setting value; S2, judging whether the warm grinding is completed, and starting a working position lubricating oil pump and a working position hydraulic oil pump in sequence after the warm grinding is completed; S3, a data learning model judges a start permission condition of the pulverizing system, and after the start permission condition is met, step S4 is implemented; S4, a coal mill and a coal feeder are started in sequence, and whether the pulverizing system is normally operated is judged, and the start is completed after the pulverizing system is normally operated; S5, the data learning model judges a stop permission condition of the pulverizing system, and after the stop permission condition is met, step S6 is implemented; and S6, the coal feeder and the coal mill are stopped in sequence. The application further discloses a one-key start-stop control system of the pulverizing system of the thermal power plant. The application realizes automatic start and stop of the pulverizing system, reduces frequent operation of operating personnel, improves the automation degree of a unit, and increases the operation safety and reliability of the unit.

Description

Technical Field

[0001] This invention relates to the field of coal-fired power generation technology, specifically to a one-button start / stop control method and system for a pulverizing system in a thermal power plant. Background Technology

[0002] With the increasing installed capacity of new energy generators such as solar and wind power, thermal power units need to undertake more peak-shaving and frequency regulation functions. Frequent peak-shaving operation increases the start-up and shutdown operations of the pulverizing system, which has a significant impact on the unit's important operating parameters. Frequent start-up and shutdown of the pulverizing system can cause certain disturbances to the unit's main parameters, seriously affecting the safe and stable operation of the unit, greatly increasing the frequency of operation by operators, and also increasing the risk of operator error.

[0003] Patent application CN110404661A discloses an automatic control method for a coal pulverizing system in a ball mill of a thermal power plant. This application describes a method where, when the coal lumps in the pulverizing assembly are insufficient, the control unit automatically replenishes the coal lumps via a conveyor belt. Simultaneously, a monitoring unit monitors the pulverizing assembly, and if any abnormality occurs, it immediately sends an alarm to the control unit and then to the operators via an alarm unit, thus improving the pulverizer's efficiency and automation level. However, this application still does not solve the aforementioned problems. Summary of the Invention

[0004] The technical problem to be solved by this invention is to address the low level of automation in the pulverizing systems of existing thermal power plants.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: A one-button start / stop control method for a pulverizing system in a thermal power plant includes the following steps: S1. Input the set value for the warm-up completion temperature; S2. Determine whether warm-up is complete. After warm-up is complete, start the working position lubricating oil pump and the working position hydraulic oil pump in sequence. S3. The data learning model determines the start-up conditions of the flour milling system. Once the start-up conditions are met, proceed to step S4. S4. Start the coal mill and coal feeder in sequence to determine if the pulverizing system is operating normally. Once the system is operating normally, the startup is complete. S5. The data learning model determines the stop conditions of the flour milling system. If the stop conditions are met, proceed to step S6. S6. Stop the coal feeder and coal mill in sequence.

[0006] Advantages: This invention uses a data learning model to automatically determine whether the pulverizing system is operating normally. If it is operating normally, no operator intervention is required; only in the event of a startup failure is the system promptly notified. The same principle applies to whether the pulverizing system has stopped normally. This invention achieves automatic start-up and shutdown of the pulverizing system, reducing frequent operator intervention, improving the automation level of the unit, and increasing the safety and reliability of unit operation.

[0007] Preferably, in step S1, the warm grinding completion setting value is manually input by the operator.

[0008] Preferably, the operation flow of step S2 is as follows: S21. Based on the temperature setting value in step S1, determine that the warm grinding is completed after the temperature reaches the temperature setting value. S22. Start the working position lubricating oil pump, and the data learning model determines whether the lubricating oil pump is operating normally and whether the oil pressure has reached the learning value of previous normal operation. S23. Determine whether to start the oil tank electric heater based on the oil temperature in the coal mill reducer oil sump in step S22. If the temperature is low, start it; if the temperature is high, do not start it. S24. Start the hydraulic oil pump in the working position. The data learning model determines whether the hydraulic oil pump is operating normally and whether the oil pressure has reached the learning value of normal operation in the past. S25. After normal operation, put the coal mill lubricating oil pump and the coal mill hydraulic oil pump into standby mode.

[0009] Preferably, the start-up process of the coal mill in step S4 is as follows: S411. Open the cold primary air damper of the coal mill, the hot primary air damper of the coal mill, and the sealing damper of the coal feeder; S412, Start the coal mill separator motor, engage the lubricating oil pump for automatic pressure replenishment, and open the pneumatic valve at the coal mill powder pipe outlet. S413. Start lifting the grinding rollers of the coal mill. After the grinding rollers are in place, switch the hot primary air damper of the coal mill to manual mode and the cold primary air damper of the coal mill to manual mode. Then open the cold primary air damper and the hot primary air damper at the inlet of the coal mill and open the cold and hot primary air regulating dampers of the coal mill to set the coal mill to the warm grinding position. S414. The data learning model adjusts the opening of the cold and hot primary air regulating valves of the coal mill based on previous learning values. Once the temperature reaches the warm mill set value, the start-up conditions of the coal mill are met, and the coal mill is started.

[0010] Preferably, the startup process of the coal feeder in step S4 is as follows: S421. After the data learning model determines that the coal mill is operating normally, open the electric slide gate at the coal feeder outlet. S422, The data learning model sends a minimum coal feed instruction to the coal feeder; S423. Open the electric slide gate at the coal feeder inlet, start the coal feeder, and prepare to feed coal.

[0011] Preferably, the normal startup process of the powder-making system in step S4 is as follows: S431, Begin lowering the coal mill rollers; S432. The data learning model adjusts the loading oil pressure of the coal mill based on previous learning values ​​to determine whether the grinding rollers have descended to the correct position and whether the coal feed rate is normal. S433, put the coal feeder into automatic control and adjust the coal feed rate at any time; then put the coal mill separator into automatic control, put the coal mill inlet cold and hot air regulating valve into automatic control, put the coal mill force proportional overflow valve into automatic control and the coal mill reaction force proportional overflow valve into automatic control. S434. The data learning model determines whether the pulverizing system is operating normally based on the learned values ​​from the previous normal operation of the pulverizing system. Once the system is operating normally, the startup is complete.

[0012] Preferably, the workflow for the data learning model in step S5 to determine the stop conditions of the flour milling system is as follows: S51. Automatically activate the cold air damper and hot air damper at the coal mill inlet, and set the minimum coal feeder command. S52. Close the electric slide gate at the inlet of the coal feeder, and if the coal feed rate is less than 5t / h, delay for 5 minutes and then stop the coal feeder. S53. After the coal feeder stops operating in step S52, start lifting the grinding roller. Once the grinding roller is lifted into position, stop the coal mill, close the coal feeder outlet door, close the coal feeder sealing damper, and stop the coal mill separator. S54. Withdraw the automatic operation of the hot primary air regulating valve at the coal mill inlet, gradually close the hot primary air regulating valve at the coal mill inlet. After the opening of the hot air regulating valve is less than 5%, close the hot primary air damper at the coal mill inlet. Also, withdraw the automatic operation of the cold primary air regulating valve at the coal mill inlet, and slowly close it at a certain rate. After the opening of the cold air regulating valve is less than 5%, close the cold primary air damper at the coal mill inlet. S55. Close the coal mill sealing air regulating door, close the coal mill sealing air damper door, open the fire steam electric door for 600 seconds, lower the coal mill grinding rollers, and close the fire steam electric door. S56. After the grinding rollers are lowered to the position and the fire steam electric door is closed, close the pneumatic quick-closing door at the coal mill outlet. The data learning model determines whether the pulverizing system is operating normally based on the learning values ​​of previous normal shutdowns of the pulverizing system. The process ends after the shutdown is deemed normal.

[0013] This invention also discloses a one-button start / stop control system for a pulverizing system in a thermal power plant, comprising: The input module is used to input the set value for the warm-up grinding completion temperature; The first start-up module is used to determine whether warm-up is complete. After warm-up is completed, the working position lubricating oil pump and the working position hydraulic oil pump are started in sequence. The judgment module uses a data learning model to determine the start-up conditions of the flour milling system. Once the start-up conditions are met, the system is activated. The second startup module starts the coal mill and coal feeder in sequence, and determines whether the pulverizing system is operating normally. Once the system is operating normally, the startup is complete. The stop module uses a data learning model to determine the stop conditions of the pulverizing system. Once the stop conditions are met, the coal feeder and the coal mill are stopped sequentially.

[0014] Preferably, the first startup module includes: The warm-up judgment unit is used to determine whether the warm-up is completed after the temperature has reached the set temperature value. The working position lubricating oil pump starting unit is used to start the working position lubricating oil pump. The data learning model determines whether the lubricating oil pump is operating normally and whether the oil pressure has reached the learned value of previous normal operation. It determines whether to start the oil tank electric heater based on the oil temperature in the oil sump of the coal mill reducer. If the temperature is low, it starts; if the temperature is high, it does not start. The working position hydraulic oil pump starting unit is used to start the working position hydraulic oil pump. The data learning model determines whether the hydraulic oil pump is operating normally and whether the oil pressure has reached the learning value of previous normal operation. After the standby pump unit is running normally, it is put into standby mode for the coal mill lubricating oil pump and the coal mill hydraulic oil pump.

[0015] Preferably, the second starting module includes a coal mill starting unit, a coal feeder starting unit, and a pulverizing system operating unit, wherein: The coal mill start-up unit is used to open the coal mill cold primary air damper, the coal mill hot primary air damper, and the coal feeder sealing damper; start the coal mill separator motor, engage the automatic pressure replenishment of the lubricating oil pump, and open the pneumatic valve at the coal mill powder pipe outlet; begin lifting the coal mill grinding rollers; after the grinding rollers are in place, switch the coal mill hot primary air damper and the coal mill cold primary air damper to manual mode; then open the coal mill inlet cold primary air damper and the coal mill inlet hot primary air damper; open the coal mill cold and hot primary air regulating dampers to set the coal mill to the warm grinding position; the data learning model adjusts the opening degree of the coal mill cold and hot primary air regulating dampers according to previous learning values; once the temperature reaches the warm grinding set value, the coal mill start-up conditions are met, and the coal mill is started. The coal feeder start-up unit is used to open the electric gate at the coal feeder outlet after the data learning model determines that the coal mill is operating normally; the data learning model sends a minimum coal feeding command to the coal feeder; the electric gate at the coal feeder inlet is opened, the coal feeder is started, and preparation for coal feeding is made. The pulverizing system operation unit begins by lowering the pulverizer rollers. The data learning model, based on previous learned values, adjusts the pulverizer's loading oil pressure to determine if the rollers have descended to the correct position and if the coal feed rate is normal. Automatic control of the coal feeder's feed rate is then activated, adjusting the feed rate as needed. Next, automatic operation of the pulverizer separator, the pulverizer inlet cold and hot air regulating valves, the pulverizer force proportional overflow valve, and the pulverizer reaction force proportional overflow valve are activated. The data learning model, based on previous learned values ​​from normal operation, determines if the pulverizing system is functioning correctly. Once normal operation is confirmed, the system is ready for operation.

[0016] Compared with the prior art, the beneficial effects of the present invention are: (1) This invention uses a data learning model to automatically determine whether the pulverizing system is operating normally. If it is operating normally, no operator intervention is required. Feedback is only provided to the operator in case of a startup failure. The same applies to whether the pulverizing system stops normally. This invention realizes the automatic start and stop of the pulverizing system, reduces frequent operator intervention, improves the automation level of the unit, and increases the safety and reliability of the unit operation.

[0017] (2) The present invention allows operators to manually set the warm-up temperature of the coal mill, and the warm-up temperature value can be changed at any time to achieve the best warm-up effect. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating an embodiment of the present invention. Detailed Implementation

[0019] To facilitate understanding of the technical solution of the present invention by those skilled in the art, the technical solution of the present invention will now be further described in conjunction with the accompanying drawings.

[0020] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0021] Example 1 See Figure 1 This embodiment discloses a one-button start / stop control method for a pulverizing system in a thermal power plant, comprising the following steps: S1. Input the set value for the warm-up completion temperature.

[0022] S2. Determine whether warm-up is complete. After warm-up is complete, start the working position lubricating oil pump and the working position hydraulic oil pump in sequence.

[0023] S3. The data learning model determines the start-up conditions of the flour milling system. Once the start-up conditions are met, proceed to step S4.

[0024] S4. Start the coal mill and coal feeder in sequence to determine if the pulverizing system is operating normally. Once the system is operating normally, the startup is complete.

[0025] S5. The data learning model determines the stop conditions of the flour milling system. If the stop conditions are met, proceed to step S6.

[0026] S6. Stop the coal feeder and coal mill in sequence.

[0027] In step S1, the warm-up completion setting value is manually entered by the operator. The operator can change the warm-up completion setting value at any time to achieve the optimal warm-up effect according to the actual working conditions.

[0028] The operation procedure for step S2 is as follows: S21. Based on the temperature setting value in step S1, determine that the warm grinding is completed after the temperature reaches the set value.

[0029] The warm-up process is completed by checking whether the temperature reaches the set value. Operators can modify the set warm-up temperature at any time to achieve the optimal warm-up effect based on the actual working conditions, effectively ensuring that the warm-up temperature meets the operating conditions.

[0030] S22. Start the working position lubricating oil pump. The data learning model determines whether the lubricating oil pump is operating normally and whether the oil pressure has reached the learned value of previous normal operation. When the lubricating oil pump simultaneously meets the requirements of normal operation signal, disappearance of stop signal, normal current operation, and oil pressure reaching the normal operating value, it is determined that the lubricating oil pump is operating normally.

[0031] S23. Determine whether to start the oil tank electric heater based on the oil temperature in the coal mill reducer oil sump in step S22. If the temperature is low, start it; if the temperature is high, do not start it.

[0032] Based on the oil temperature in the coal mill reducer's oil sump, if the oil temperature is too low, for example, below 25°C, the oil tank electric heater will automatically start; if the temperature is above 25°C, the oil tank electric heater will not start automatically; and when the temperature exceeds 35°C, the oil tank electric heater will automatically stop. This process enables automatic start and stop of the oil tank electric heater, reducing operator intervention and monitoring, maintaining the optimal oil temperature in the coal mill reducer's oil sump, and promoting better equipment operation.

[0033] S24. Start the hydraulic oil pump in the working position. The data learning model determines whether the hydraulic oil pump is operating normally and whether the oil pressure has reached the learned value for normal operation. When the hydraulic oil pump simultaneously meets the requirements of normal operation signal, disappearance of stop signal, normal current operation, and oil pressure reaching the normal operating value, the hydraulic oil pump is judged to be operating normally.

[0034] S25. After normal operation, put the coal mill lubricating oil pump and the coal mill hydraulic oil pump into standby mode.

[0035] In this embodiment, the temperature is first determined to be warm-up complete. After warm-up is complete, the working position lubricating oil pump and the working position hydraulic oil pump are started. After normal operation, the standby lubricating oil pump and the hydraulic oil pump are put into operation at the same time to prevent accidents.

[0036] In step S3, the start-up conditions of the pulverizing system are determined using a data learning model. Once the start-up conditions are met, step S4 is implemented.

[0037] The permissible conditions for starting the pulverizing system are that the coal mill temperature, lubricating oil pressure, and hydraulic oil station pressure are normal. Normal coal mill temperature means that it does not exceed the alarm value, such as the coal mill temperature being less than 80℃, the lubricating oil pressure being greater than 0.2MPa, and the hydraulic oil station pressure being greater than 2MPa. By using a data learning model to determine the permissible conditions for starting the pulverizing system, the coal mill can be allowed to operate safely, stably, and normally.

[0038] The start-up procedure for the coal mill in step S4 is as follows: S411. Open the cold primary air damper, hot primary air damper, and sealing damper of the coal mill.

[0039] S412, Start the coal mill separator motor, put the lubricating oil pump into automatic pressure replenishment, and open the pneumatic valve at the coal mill powder pipe outlet.

[0040] S413. Start raising the grinding rollers of the coal mill. After the grinding rollers are raised to the correct position, switch the hot primary air damper and the cold primary air damper of the coal mill to manual mode. Then, open the cold primary air damper and the hot primary air damper at the inlet of the coal mill, and open the cold and hot primary air regulating dampers of the coal mill to set the coal mill to the warm grinding position.

[0041] S414. The data learning model adjusts the opening of the cold and hot primary air regulating valves of the coal mill based on previous learning values. Once the temperature reaches the warm mill set value, the start-up conditions of the coal mill are met, and the coal mill is started.

[0042] The startup procedure for the coal feeder in step S4 is as follows: S421. After the data learning model determines that the coal mill is operating normally, open the electric gate at the coal feeder outlet.

[0043] S422, The data learning model sends a minimum coal feed instruction to the coal feeder.

[0044] S423. Open the electric slide gate at the coal feeder inlet, start the coal feeder, and prepare to feed coal.

[0045] The normal startup procedure for the powder-making system in step S4 is as follows: S431, Begin lowering the coal mill rollers.

[0046] S432. The data learning model adjusts the loading oil pressure of the coal mill based on previous learning values ​​to determine whether the grinding rollers have descended to the correct position and whether the coal feed rate is normal.

[0047] S433. Activate automatic control of coal feeder to adjust the coal feed rate at any time; then activate automatic control of coal mill separator, automatic control of coal mill inlet cold and hot air regulating valves, automatic control of coal mill force proportional overflow valve and coal mill reaction force proportional overflow valve.

[0048] S434. The data learning model determines whether the pulverizing system is operating normally based on the learned values ​​from the previous normal operation of the pulverizing system. Once the system is operating normally, the startup is complete.

[0049] In some embodiments, when the data learning model determines that an anomaly has occurred, such as in the heating coal value or coal feed rate, it provides feedback to the operators. The operators can then address the problem promptly and accurately based on this feedback.

[0050] In step S4 of this embodiment, the normal operation of the pulverizing system is realized. In step S3, the data learning model automatically determines the learning value of normal operation. By continuously adjusting the operating status of the equipment and adjusting the control commands of the valves, the pulverizing system can start smoothly. At the same time, if the start-up fails, it can be promptly fed back to the operators for processing, reducing the frequency of operation by the operators.

[0051] The stop condition for the pulverizing system in step S5 is that both the pulverizing system and the coal mill are running. The workflow of the data learning model in determining the stop condition for the pulverizing system is as follows: S51. Automatically activate the cold air regulating valve and hot air regulating valve at the coal mill inlet, and set the minimum coal feed command for the coal feeder.

[0052] S52. Close the electric slide gate at the coal feeder inlet, and if the coal feed rate is less than 5t / h, delay for 5 minutes and then stop the coal feeder.

[0053] After the coal feeder stops operating in step S53 and S52, start lifting the grinding rollers. Once the grinding rollers are in place, stop the coal mill, close the coal feeder outlet gate, close the coal feeder sealing damper, and stop the coal mill separator.

[0054] S54. Withdraw the automatic operation of the hot primary air regulating valve at the coal mill inlet, gradually close the hot primary air regulating valve at the coal mill inlet. After the opening of the hot air regulating valve is less than 5%, close the hot primary air damper at the coal mill inlet. Also, withdraw the automatic operation of the cold primary air regulating valve at the coal mill inlet, and slowly close it at a certain rate. After the opening of the cold air regulating valve is less than 5%, close the cold primary air damper at the coal mill inlet.

[0055] S55. Close the coal mill sealing air regulating door, close the coal mill sealing air damper door, open the fire steam electric door for 600 seconds, lower the coal mill rollers, and close the fire steam electric door.

[0056] S56. After the grinding rollers are lowered to the position and the fire steam electric door is closed, close the pneumatic quick-closing door at the coal mill outlet. The data learning model determines whether the pulverizing system is operating normally based on the learning values ​​of previous normal shutdowns of the pulverizing system. The process ends after the shutdown is deemed normal.

[0057] By following the steps above, it can be determined whether the coal mill meets the conditions for stopping, thus preventing abnormal tripping of the coal mill and ensuring its safe, stable, and normal shutdown.

[0058] This embodiment automatically starts or stops each piece of equipment in the pulverizing system, realizing automatic start-up and shutdown of the pulverizing system. Through data learning models, based on the learned values ​​of previous normal operation, the operating status of the equipment is continuously adjusted, and the control commands of the valves are adjusted to enable the equipment to start and stop safely and stably. The model can also automatically determine whether the equipment is operating normally, and equipment that fails to start or stop is promptly fed back to the operators for handling, reducing the frequency of operation by the operators, improving the automation level of the unit, and increasing the safety and reliability of the unit operation.

[0059] Example 2 This embodiment discloses a one-button start / stop control system for a pulverizing system in a thermal power plant, including: The input module is used to input the set value for the warm-up grinding completion temperature; The first start-up module is used to determine whether warm-up is complete. After warm-up is completed, the working position lubricating oil pump and the working position hydraulic oil pump are started in sequence. The judgment module uses a data learning model to determine the start-up conditions of the flour milling system. Once the start-up conditions are met, the system is activated. The second startup module starts the coal mill and coal feeder in sequence, and determines whether the pulverizing system is operating normally. Once the system is operating normally, the startup is complete. The stop module uses a data learning model to determine the stop conditions of the pulverizing system. Once the stop conditions are met, the coal feeder and the coal mill are stopped sequentially.

[0060] The first startup module includes: The warm-up judgment unit is used to determine whether the warm-up is completed after the temperature has reached the set temperature value. The working position lubricating oil pump starting unit is used to start the working position lubricating oil pump. The data learning model determines whether the lubricating oil pump is operating normally and whether the oil pressure has reached the learned value of previous normal operation. It determines whether to start the oil tank electric heater based on the oil temperature in the oil sump of the coal mill reducer. If the temperature is low, it starts; if the temperature is high, it does not start. The working position hydraulic oil pump starting unit is used to start the working position hydraulic oil pump. The data learning model determines whether the hydraulic oil pump is operating normally and whether the oil pressure has reached the learning value of previous normal operation. After the standby pump unit is running normally, it is put into standby mode for the coal mill lubricating oil pump and the coal mill hydraulic oil pump.

[0061] The second startup module includes a coal mill startup unit, a coal feeder startup unit, and a pulverizing system operation unit, wherein: The coal mill start-up unit is used to open the coal mill cold primary air damper, the coal mill hot primary air damper, and the coal feeder sealing damper; start the coal mill separator motor, engage the automatic pressure replenishment of the lubricating oil pump, and open the pneumatic valve at the coal mill powder pipe outlet; begin lifting the coal mill grinding rollers; after the grinding rollers are in place, switch the coal mill hot primary air damper and the coal mill cold primary air damper to manual mode; then open the coal mill inlet cold primary air damper and the coal mill inlet hot primary air damper; open the coal mill cold and hot primary air regulating dampers to set the coal mill to the warm grinding position; the data learning model adjusts the opening degree of the coal mill cold and hot primary air regulating dampers according to previous learning values; once the temperature reaches the warm grinding set value, the coal mill start-up conditions are met, and the coal mill is started.

[0062] The coal feeder start-up unit is used to open the electric gate at the coal feeder outlet after the data learning model determines that the coal mill is operating normally; the data learning model sends a minimum coal feeding command to the coal feeder; the electric gate at the coal feeder inlet is opened, the coal feeder is started, and preparation for coal feeding is made.

[0063] The pulverizing system operation unit begins by lowering the pulverizer rollers. The data learning model, based on previous learned values, adjusts the pulverizer's loading oil pressure to determine if the rollers have descended to the correct position and if the coal feed rate is normal. Automatic control of the coal feeder's feed rate is then activated, adjusting the feed rate as needed. Next, automatic operation of the pulverizer separator, the pulverizer inlet cold and hot air regulating valves, the pulverizer force proportional overflow valve, and the pulverizer reaction force proportional overflow valve are activated. The data learning model, based on previous learned values ​​from normal operation, determines if the pulverizing system is functioning correctly. Once normal operation is confirmed, the system is ready for operation.

[0064] The stop module includes: The coal feeder stop unit automatically activates the cold air regulating valve and hot air regulating valve at the coal mill inlet, sets the minimum coal feed command for the coal feeder, closes the electric gate valve at the coal feeder inlet, and stops the coal feeder after a 5-minute delay when the coal feed rate is less than 5t / h. The coal mill separator stop unit is used to start lifting the grinding rollers after the coal feeder stops. Once the grinding rollers are lifted to the correct position, the coal mill stops, the coal feeder outlet gate closes, the coal feeder sealing damper closes, and the coal mill separator stops. The coal mill stop unit, after automatically disengaging the coal mill inlet hot primary air regulating valve, gradually closes the coal mill inlet hot primary air regulating valve. Once the hot air regulating valve opening is less than 5%, it closes the coal mill inlet hot primary air damper. Simultaneously, it disengages the coal mill inlet cold primary air regulating valve automatically and slowly closes it at a certain rate. Once the cold air regulating valve opening is less than 5%, it closes the coal mill inlet cold primary air damper. The coal mill sealing air regulating valve is closed, the coal mill sealing damper is closed, and the fire-fighting steam electric door is opened and held for 600 seconds. The coal mill lowers its grinding rollers and then closes the fire-fighting steam electric door.

[0065] The stop judgment unit uses a data learning model to determine whether the pulverizing system is operating normally based on the learned values ​​of previous normal shutdowns of the pulverizing system. Once the shutdown is deemed normal, the process ends.

[0066] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention, and no reference numerals in the claims should be construed as limiting the scope of the claims.

[0067] The above embodiments are merely examples of implementation methods of the invention. The scope of protection of the present invention is not limited to the above embodiments. For those skilled in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all fall within the scope of protection of the present invention.

Claims

1. A one-button start / stop control method for a pulverizing system in a thermal power plant, characterized in that: Includes the following steps: S1. Input the set value for the warm-up completion temperature; S2. Determine whether warm-up is complete. After warm-up is complete, start the working position lubricating oil pump and the working position hydraulic oil pump in sequence. S3. The data learning model determines the start-up conditions of the flour milling system. Once the start-up conditions are met, proceed to step S4. S4. Start the coal mill and coal feeder in sequence to determine if the pulverizing system is operating normally. Once the system is operating normally, the startup is complete. S5. The data learning model determines the stop conditions of the flour milling system. If the stop conditions are met, proceed to step S6. S6. Stop the coal feeder and coal mill in sequence; The operation process of step S2 is as follows: S21. Based on the temperature setting value in step S1, determine that the warm grinding is completed after the temperature reaches the temperature setting value. S22. Start the working position lubricating oil pump, and the data learning model determines whether the lubricating oil pump is operating normally and whether the oil pressure has reached the learning value of previous normal operation. S23. Determine whether to start the oil tank electric heater based on the oil temperature in the oil sump of the coal mill reducer. If the temperature is low, start it; if the temperature is high, do not start it. S24. Start the hydraulic oil pump in the working position. The data learning model determines whether the hydraulic oil pump is operating normally and whether the oil pressure has reached the learning value of normal operation in the past. S25. After normal operation, put the coal mill lubricating oil pump and the coal mill hydraulic oil pump into standby mode.

2. The one-button start / stop control method in the pulverizing system of a thermal power plant according to claim 1, characterized in that: In step S1, the set value for warm grinding is completed by the operator manually inputting the setting value.

3. The one-button start / stop control method in the pulverizing system of a thermal power plant according to claim 1, characterized in that: The startup process of the coal feeder in step S4 is as follows: S421. After the data learning model determines that the coal mill is operating normally, open the electric slide gate at the coal feeder outlet. S422, The data learning model sends a minimum coal feed instruction to the coal feeder; S423. Open the electric slide gate at the coal feeder inlet, start the coal feeder, and prepare to feed coal.

4. A one-button start / stop control system for a pulverizing system in a thermal power plant, characterized in that: include: The input module is used to input the set value for the warm-up grinding completion temperature; The first start-up module is used to determine whether warm-up is complete. After warm-up is completed, the working position lubricating oil pump and the working position hydraulic oil pump are started in sequence. The judgment module uses a data learning model to determine the start-up conditions of the flour milling system. Once the start-up conditions are met, the system is activated. The second startup module starts the coal mill and coal feeder in sequence, and determines whether the pulverizing system is operating normally. Once the system is operating normally, the startup is complete. The stop module uses a data learning model to determine the stop conditions of the pulverizing system. Once the stop conditions are met, the coal feeder and the coal mill are stopped sequentially. The first startup module includes: The warm-up judgment unit is used to determine whether the warm-up is completed after the temperature has reached the set temperature value. The working position lubricating oil pump starting unit is used to start the working position lubricating oil pump. The data learning model determines whether the lubricating oil pump is operating normally and whether the oil pressure has reached the learned value of previous normal operation. It determines whether to start the oil tank electric heater based on the oil temperature in the oil sump of the coal mill reducer. If the temperature is low, it starts; if the temperature is high, it does not start. The working position hydraulic oil pump starting unit is used to start the working position hydraulic oil pump. The data learning model determines whether the hydraulic oil pump is operating normally and whether the oil pressure has reached the learning value of previous normal operation. After the standby pump unit is running normally, it is put into standby mode for the coal mill lubricating oil pump and the coal mill hydraulic oil pump.

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