Self-cleaning cooling tower and control method thereof

Abstract

The invention relates to the technical field of cooling towers for motor cars and locomotives, solves the technical problems in the prior art that the use efficiency of the motor cars or locomotives is reduced and the problem is difficult to find in time to give alarm information in order to clean a radiator, and particularly relates to a self-cleaning cooling tower and a control method thereof. The device comprises a cleaning water tank, a cooling object and an expansion water tank, a heat dissipation cleaning mechanism used for cooling the expansion water tank is arranged at the side end of the expansion water tank, and an air speed mechanism used for sucking air is arranged at the top of the heat dissipation cleaning mechanism. The device can complete the blockage condition detection of the air duct in the heat dissipation cleaning mechanism in real time, can complete the detection of the air duct in time, can change the cleaning mode according to the wind speed, can improve the heat dissipation efficiency of the heat dissipation device, can prolong the service life of the heat dissipation device, can reduce the frequency of dragging to a locomotive depot due to the cleaning of the heat dissipation device, and can reduce the energy waste.

Description

Technical Field

[0001] The present invention relates to the technical field of cooling towers for bullet trains and locomotives, and particularly relates to a self-cleaning cooling tower and a control method thereof. Background Art

[0002] The cooling tower is one of the core components of the thermal management system of high-speed trains and locomotives. Its function is to efficiently discharge the waste heat generated during the operation of the EMU to the atmosphere through the principle of heat exchange, ensuring that the traction system, electrical equipment, and key components operate within a safe temperature range, and guaranteeing the performance and reliability of the train. Currently, after the radiator of the cooling tower for bullet trains has been used for a period of time, sundries or dirt will remain on the surface of the radiator. In this case, not only will the working effect of the radiator be seriously affected, but if it is not cleaned for a long time, the internal temperature of the train equipment will be too high, seriously affecting the service life and safe operation of the train equipment.

[0003] In spring when there are a lot of willow and poplar catkins, the train needs to be sent to the locomotive depot every half month to clean the radiator of the cooling tower. This method not only consumes a lot of time, causes inconvenience to the train operation and maintenance, seriously affects the use efficiency of the train, but also cannot detect the specific situation of the heat dissipation cleaning mechanism in real time, and can only be cleaned regularly. Once an emergency occurs, it is difficult to detect and alarm quickly, which not only affects the normal use of the equipment, but also brings potential safety hazards to the train operation. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a self-cleaning cooling tower and a control method thereof, which solve the technical problems that the use efficiency of the train is reduced due to cleaning the radiator in the prior art, and it is difficult to detect potential hazards in time and give an alarm, improve the working efficiency of the heat dissipation cleaning of the self-cleaning cooling tower of the train, and achieve the purpose of timely detecting the state of the radiator and giving an alarm.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: A self-cleaning cooling tower includes a cooling object communicated with an expansion water tank, and a cleaning water tank arranged on one side of a heat dissipation cleaning mechanism. The self-cleaning cooling tower further includes a heat dissipation cleaning mechanism for cooling and dissipating heat of the cooling object. A wind speed mechanism for sucking air is arranged at the top of the heat dissipation cleaning mechanism, and a filtering mechanism is arranged at the bottom of the heat dissipation cleaning mechanism.

[0006] Furthermore, the heat dissipation cleaning mechanism includes a servo motor. A rotating track that rotates periodically and reciprocally is fixedly connected to the rotating end of the servo motor. Sliding grooves are formed on both side surfaces of the rotating track. A sliding cleaning seat is slidably connected to the rotating track. A control rotating wheel for controlling the movement of the sliding cleaning seat in the sliding groove is rotatably connected to the inner side of the sliding cleaning seat. An elastic water pipe is fixedly connected to the side end of the sliding cleaning seat, and a high-pressure cleaning nozzle for pressurizing and spraying the water in the elastic water pipe is fixedly connected to the bottom end of the sliding cleaning seat.

[0007] Further, the heat dissipation and cleaning mechanism further includes an air duct guard plate, and a radiator is arranged inside the air duct guard plate.

[0008] Further, the wind speed mechanism includes a top cover, a top ventilation hole for air circulation is opened on the top surface of the top cover, a wind speed sensor for detecting the air flow speed is fixedly connected to the side end of the top ventilation hole, and an intelligent control terminal for analyzing and processing the wind speed is fixedly connected to the side end of the wind speed sensor.

[0009] Further, the wind speed mechanism further includes a ventilation plate frame arranged at the bottom end of the top cover, a fan for generating a pressure difference is fixedly connected to the central position of the ventilation plate frame, a fan blade is fixedly connected to the top end of the fan, and a plurality of internal ventilation holes are opened on the ventilation plate frame.

[0010] Further, the filtering mechanism includes a filtering base, a plurality of bottom ventilation holes are opened on the filtering base, and a filter is fixedly connected to the central position of the filtering base.

[0011] Further, an expansion water pipe is fixedly connected between the expansion water tank and the heat dissipation and cleaning mechanism, a cooling pipe is fixedly connected between the expansion water pipe and the cooling object, and the elastic water pipe is fixedly connected between the cleaning water tank.

[0012] The present invention also proposes a control method applied to the self-cleaning cooling tower, and the method includes the following steps:

[0013] S1. Provide power for the flow of water in the heat dissipation and cleaning mechanism through the first water pump, start the radiator and the first water pump inside the radiator in the heat dissipation and cleaning mechanism, so that the radiator cools and dissipates heat from the cooling object in real time through the first water pump;

[0014] S2. Start the intelligent control terminal and the fan, and the intelligent control terminal collects the original air volume F once every t minutes t and preprocesses the original air volume F t to obtain a multi-scale preprocessing value Y h ;

[0015] S3. Generate a detection result of air duct blockage according to the change amount ΔF h of the multi-scale preprocessing value Y q and control the second water pump in the cleaning water tank and the alarm of the management center of the self-cleaning cooling tower according to the detection result of air duct blockage.

[0016] Further, in step S2, the specific implementation steps are as follows:

[0017] S21. Obtain a plurality of original air volumes F t, calculate the denoised signal F according to the original air volume F t u , and the calculation formula is:

[0018]

[0019] where α k represents the adaptive weight coefficient, represents the local variance of the wavelet coefficients at the k-th layer, ε represents the non-zero minimum value, and W k represents the dynamic wavelet basis function, and sgn(F t ) represents the sign function of the original air volume F t ;

[0020] S22. Calculate the dynamic compensation value D according to the denoised signal F u b , and the calculation formula is:

[0021]

[0022] where β c represents the dynamic compensation factor, represents the differential form of the denoised signal F u with respect to time t, and Δt represents the response delay of the sensor;

[0023] S23. Calculate the multi-scale preprocessing value Y according to the dynamic compensation value D b h , and the calculation formula is:

[0024]

[0025] where λ m represents the weight coefficient, and EMA n (D b ) represents the exponential moving average operator with a time window of n, and M represents the number of dynamic compensation values D b ;

[0026] Furthermore, in step S3, the specific implementation steps are as follows:

[0027] S31. Obtain multiple multi-scale preprocessing values Y with time stamps h s , and calculate the change amount ΔF of the multi-scale preprocessing values Y at adjacent times h s , and the calculation formula is: q

[0028] ΔF q = Y h s+1 - Y h ​​​​s

[0029] Among them, Y h s and Y h s+1 respectively represent the multi-scale preprocessing values with time markers s and s + 1;

[0030] S32. Calculate the dynamic threshold V based on the multi-scale preprocessing value Y h The calculation formula is:

[0031]

[0032] Among them, represents the average value of the multi-scale preprocessing value Y h s ;

[0033] S33. Judge the air duct blockage situation according to the dynamic threshold V and generate an air duct blockage detection result;

[0034] If then the air duct blockage detection result is that the air duct is unblocked and the process ends;

[0035] If then the air duct blockage detection result is that the air duct is relatively blocked, and the second water pump is started to clean the heat dissipation and cleaning mechanism;

[0036] If ΔF q > V, then the air duct blockage detection result is that the air duct is blocked, and the alarm is started to give an alarm.

[0037] By means of the above technical solution, the present invention provides a self-cleaning cooling tower and its control method, which at least has the following beneficial effects:

[0038] 1. Through the coordinated cooperation of the fan, the wind speed sensor and the intelligent control terminal, the present invention can detect the blockage situation of the internal air duct of the heat dissipation and cleaning mechanism in real time, and perform different operations on the internal air duct according to different wind speeds, including air volume monitoring and alarm, execution of cleaning actions, etc. It can not only monitor the blockage state of the radiator in real time, but also realize the intelligent cleaning of the radiator, improve the heat dissipation efficiency and service life of the radiator, reduce the maintenance and cleaning operations of conventional cooling towers and radiators, and save the cost of maintenance and cleaning operations.

[0039] 2. Through the arc-shaped moving cleaning nozzle, according to the principle of global coverage of polar satellites, the present invention realizes the all-round cleaning of the radiator. Only one cleaning nozzle can clean more than 95% of the outer surface and internal air duct of the radiator, and has the characteristics of high cleaning efficiency, wide coverage area, few nozzle usage, and low cleaning cost.

[0040] 3. Through the preprocessing method with improved air volume, the present invention can enhance the accuracy of preprocessing, which is more accurate and has stronger stability compared with the air volume processing method with a fixed threshold. The proportion of non-linear error is significantly reduced. Through multi-scale preprocessing values, the response speed to sudden changes in wind speed can be improved, the accuracy of data in the case of gusts can be enhanced, and the cleaning cycle of the radiator can be made more accurate. Description of the Drawings

[0041] The drawings described herein are used to provide a further understanding of the present application and form 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 of the present application. In the drawings:

[0042] Figure 1 is a three-dimensional structure diagram of a self-cleaning cooling tower of the present invention;

[0043] Figure 2 is a three-dimensional structure diagram of the heat dissipation cleaning mechanism from a side view of the present invention;

[0044] Figure 3 is a three-dimensional structure diagram of the wind speed mechanism from a top view of the present invention;

[0045] Figure 4 is a three-dimensional structure diagram inside the heat dissipation cleaning mechanism of the present invention;

[0046] Figure 5 is a three-dimensional structure diagram of the rotating track in the heat dissipation cleaning mechanism of the present invention;

[0047] Figure 6 is a partial enlarged view of the sliding cleaning seat of the present invention;

[0048] Figure 7 is a structural block diagram of a self-cleaning cooling tower and its control method of the present invention;

[0049] Figure 8 is a flow chart of a control method for a self-cleaning cooling tower of the present invention.

[0050] In the figures: 1. Heat dissipation cleaning mechanism; 11. Air duct guard plate; 12. Elastic water pipe; 13. Servo motor; 14. Sliding cleaning seat; 15. Control rotating wheel; 16. High-pressure cleaning nozzle; 17. Rotating track; 18. Sliding groove; 19. Radiator; 2. Wind speed mechanism; 21. Top cover; 22. Wind speed sensor; 23. Intelligent control terminal; 24. Top ventilation hole; 25. Ventilation plate frame; 26. Fan; 27. Fan blade; 28. Internal ventilation hole; 3. Filtration mechanism; 31. Filtration base; 32. Bottom ventilation hole; 33. Filter; 4. Cleaning water tank; 5. Cooling object; 51. Cooling pipe; 6. Expansion water tank; 61. Expansion water pipe. Detailed Embodiments

[0051] In order to make the above-mentioned objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Thereby, a full understanding of the implementation process of how this application uses technical means to solve technical problems and achieve technical effects can be obtained and implemented accordingly.

[0052] Embodiment 1

[0053] Due to the technical problems in the prior art that the use efficiency of bullet trains and locomotives is reduced in order to clean the radiator, and it is difficult to timely detect problems and give alarms, this embodiment proposes a self-cleaning cooling tower, which can improve the working efficiency of cleaning the radiator of the train cooling tower, and monitor the state of the radiator and give alarm information in a timely manner. As Figures 1-6 shown, the device includes a cooling object 5 communicated with an expansion water tank 6, and a cleaning water tank 4 arranged on one side of the heat dissipation and cleaning mechanism 1. The self-cleaning cooling tower further includes a heat dissipation and cleaning mechanism 1 for cooling and dissipating heat from the cooling object 5. An expansion water pipe 61 is fixedly connected between the expansion water tank 6 and the heat dissipation and cleaning mechanism 1. A cooling pipe 51 is fixedly connected between the expansion water pipe 61 and the cooling object 5. An elastic water pipe 12 is fixedly connected to the cleaning water tank 4. A wind speed mechanism 2 for sucking air is arranged at the top of the heat dissipation and cleaning mechanism 1. A filtering mechanism 3 for filtering is arranged at the bottom of the heat dissipation and cleaning mechanism 1. The heat dissipation and cleaning mechanism 1 includes a servo motor 13. The rotating end of the servo motor 13 is fixedly connected to a rotating track 17 that rotates periodically and reciprocally. Sliding grooves 18 are formed on both side surfaces of the rotating track 17. A sliding cleaning seat 14 is slidably connected to the rotating track 17. A control runner 15 for controlling the movement of the sliding cleaning seat 14 in the sliding groove 18 is rotatably connected inside the sliding cleaning seat 14. An elastic water pipe 12 is fixedly connected to the side end of the sliding cleaning seat 14. A high-pressure cleaning nozzle 16 for pressurizing and spraying the water in the elastic water pipe 12 is fixedly connected to the bottom end of the sliding cleaning seat 14. The heat dissipation and cleaning mechanism 1 further includes an air duct guard plate 11. A radiator 19 is arranged inside the air duct guard plate 11.

[0054] Before the present invention is used, it is necessary to start the first water pump inside the radiator 19, so that the radiator 19 starts to dissipate heat from the cooling object 5 through the cooling pipe 51. During the heat dissipation process, the intelligent control terminal 23 and the fan 26 are turned on, so that the gap between the air duct guard plate 11 and the radiator 19 forms an air duct, allowing air to flow at high speed. When there is a relatively slight blockage inside the air duct, the intelligent control terminal 23 can detect the change in air volume, and then start the second water pump of the cleaning water tank 4 to transport water into the elastic water pipe 12. The high-pressure cleaning nozzle 16 sprays the cleaning water onto the outer surface of the radiator 19 for cleaning. During the cleaning process, in order to make the radiator 19 cleaner and more comprehensive, referring to the movement characteristics of polar satellites for global coverage, the servo motor 13 can rotate reciprocally to drive the rotating track 17 to rotate reciprocally. The rotation angle can be set between 120° and 150°. While rotating reciprocally, the control wheel 15 can also control the sliding cleaning seat 14 to reciprocally move along the sliding groove 18, thus forming a motion state similar to that of a polar satellite, so that the cleaning area can completely cover the radiator 19. The servo motor 13 is fixedly connected to the bottom surface of the ventilation plate frame 25. Through the arc-shaped moving cleaning nozzle, according to the principle of polar satellite global coverage, the all-round cleaning of the radiator is completed. Only one cleaning nozzle can clean each outer surface and the internal air duct of the radiator, which can not only reduce the number of nozzles and water outlets, but also ensure multi-angle and all-round cleaning, greatly improving the cleaning efficiency and reducing the cost.

[0055] The wind speed mechanism 2 includes a top cover 21. The top surface of the top cover 21 is provided with top ventilation holes 24 mainly for air circulation. The side end of the top ventilation hole 24 is fixedly connected with a wind speed sensor 22 for detecting the air flow speed. The side end of the wind speed sensor 22 is fixedly connected with an intelligent control terminal 23 for analyzing and processing the wind speed. The wind speed mechanism 2 also includes a ventilation plate frame 25 arranged at the bottom end of the top cover 21. The central position of the ventilation plate frame 25 is fixedly connected with a fan 26 for generating a pressure difference. The top end of the fan 26 is fixedly connected with a fan blade 27. A plurality of internal ventilation holes 28 are provided on the ventilation plate frame 25. The filtering mechanism 3 includes a filtering base 31. A plurality of bottom ventilation holes 32 are provided on the filtering base 31. The central position of the filtering base 31 is fixedly connected with a filter 33.

[0056] After the fan 26 is started, the present invention can generate a strong wind. Through the top ventilation holes 24, air can enter from the top and flow out from the bottom. The fan 26 generates a strong wind through the fan blades 27. The wind speed sensor 22 can monitor the amount of air volume in real time and transmit the air volume data to the intelligent control terminal 23. The ventilation plate frame 25 and the internal ventilation holes 28 can support the fan 26 and at the same time allow air to flow downward quickly. After cleaning, the cleaning water will drip downward onto the filter 33 and be filtered through the filter 33. A water pipe is installed at the bottom of the filter 33 to transport the filtered water to other places. The filter base 31 and the bottom ventilation holes 32 can support the filter 33 and allow air to be quickly discharged from the bottom. Through the coordinated cooperation of the fan, the wind speed sensor and the intelligent control terminal, it is possible to detect the blockage condition of the internal air duct of the heat dissipation and cleaning mechanism in real time, and perform different operations on the internal air duct according to different wind speeds, including air volume monitoring and alarm, execution of cleaning actions, etc. It can not only monitor the blockage state of the radiator in real time, but also realize the intelligent cleaning of the radiator, improve the heat dissipation efficiency and service life of the radiator, while reducing the maintenance and cleaning operations of conventional cooling towers and radiators, and saving the cost of maintenance and cleaning operations.

[0057] Embodiment 2

[0058] Due to the technical problems that the existing technology reduces the train use efficiency in order to clean the radiator and it is difficult to timely detect problems and give an alarm, this embodiment provides a control method applied to a self-cleaning cooling tower, and the method includes the following steps:

[0059] S1. Start the radiator 19 in the heat dissipation and cleaning mechanism 1 and the first water pump inside the radiator 19, so that the radiator 19 cools and dissipates heat from the cooling object 5 in real time through the first water pump, and the first water pump provides power for the flow of water in the heat dissipation and cleaning mechanism 1;

[0060] S2. Start the intelligent control terminal 23 and the fan 26. The intelligent control terminal 23 collects the original air volume F once every t minutes t , and preprocesses the original air volume F t to obtain the multi-scale preprocessing value Y h ; Under the conditions of high-speed driving or gusts, due to the unstable wind speed, the data of the original air volume F t is prone to large fluctuations, seriously affecting data processing. To solve this problem, the specific implementation steps are as follows:

[0061] S21. Obtain a plurality of original air volumes F t , and calculate the denoised signal F t according to the original air volume F u , and the calculation formula is:

[0062]

[0063]

[0064] Among them, α k represents the adaptive weight coefficient, represents the local variance of the wavelet coefficients at the k-th layer, ε represents the non-zero minimum value, and W k represents the dynamic wavelet basis function, and sgn(F t ) represents the sign function of the original air volume F t ;

[0065] S22. Calculate the dynamic compensation value D u based on the denoised signal F b , and the calculation formula is:

[0066]

[0067] Among them, β c represents the dynamic compensation factor, represents the differential form of the denoised signal F u with respect to time t, and Δt represents the response delay of the sensor;

[0068] S23. Calculate the multi-scale preprocessing value Y b based on the dynamic compensation value D h , and the calculation formula is:

[0069]

[0070] Among them, λ m represents the weight coefficient, and EMA n (D b ) represents the exponential moving average operator with a time window of n, and M represents the number of dynamic compensation values D b . By preprocessing the improved demonstration air volume, the accuracy of the preprocessing can be improved, which is more accurate and stable than the wavelet processing with a fixed threshold, and the proportion of non-linear errors is greatly reduced.

[0071] S3. Generate the air duct blockage detection result according to the change amount ΔF h of the multi-scale preprocessing value Y q , and control the second water pump in the cleaning water tank 4 and the alarm in the management center of the self-cleaning cooling tower according to the air duct blockage detection result. Further processing of the multi-scale preprocessing value Y h is required to obtain the air duct blockage detection result. The specific implementation steps of this embodiment are as follows:

[0072] S31. Obtain multiple multi-scale preprocessing values Y h s with time stamps, and calculate the multi-scale preprocessing values Y at adjacent timesh s Change amount ΔF q , and the calculation formula is:

[0073] ΔF q = Y h s+1 - Y h s

[0074] Wherein, Y h s and Y h s+1 respectively represent the multi-scale preprocessing values with time stamps s and s + 1;

[0075] S32. Calculate the dynamic threshold V according to the multi-scale preprocessing value Y h , and the calculation formula is:

[0076]

[0077] Wherein, represents the average value of the multi-scale preprocessing value Y h s ;

[0078] S33. Judge the air duct blockage situation according to the dynamic threshold V and generate an air duct blockage detection result;

[0079] If then the air duct blockage detection result is that the air duct is unblocked and the process ends;

[0080] If then the air duct blockage detection result is that the air duct is relatively blocked, and the second water pump is started to clean the heat dissipation cleaning mechanism;

[0081] If ΔF q > V, then the air duct blockage detection result is that the air duct is blocked, and an alarm is started for alarm. Through the preprocessing of the air volume improvement, the accuracy of the preprocessing can be improved, which is more accurate than the wavelet processing with a fixed threshold, has strong stability, and greatly reduces the non-linear error ratio. Through the multi-scale preprocessing value, the response speed to the sudden change of the wind speed can be improved, the accuracy of the data in the case of gusts can be improved, and the radiator cleaning cycle can be made more accurate.

[0082] Those of ordinary skill in the art can understand that all or part of the steps in implementing the methods of the above embodiments can be completed by instructing relevant hardware through a program. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0083] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the various embodiments, reference can be made to each other. For the above embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, reference can be made to the partial description of the method embodiments.

[0084] The above embodiments have introduced the present invention in detail. Specific examples are used in this article to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation on the present invention.

Claims

1. A self-cleaning cooling tower, comprising a cooling object (5) communicated with an expansion water tank (6), and a cleaning water tank (4) arranged on one side of a heat dissipation and cleaning mechanism (1), characterized in that, The self-cleaning cooling tower further includes a heat dissipation and cleaning mechanism (1) for cooling and dissipating heat from a cooling object (5). A wind speed mechanism (2) for sucking air is provided at the top of the heat dissipation and cleaning mechanism (1), and a filtering mechanism (3) is provided at the bottom of the heat dissipation and cleaning mechanism (1). The heat dissipation and cleaning mechanism (1) includes a servo motor (13). The rotating end of the servo motor (13) is fixedly connected to a rotating track (17) that rotates periodically and reciprocally. Sliding grooves (18) are formed on both side surfaces of the rotating track (17). A sliding cleaning seat (14) is slidably connected to the rotating track (17). A control runner (15) for controlling the movement of the sliding cleaning seat (14) within the sliding groove (18) is rotatably connected inside the sliding cleaning seat (14). An elastic water pipe (12) is fixedly connected to the side end of the sliding cleaning seat (14). A high-pressure cleaning nozzle (16) for pressurizing and spraying the water in the elastic water pipe (12) is fixedly connected to the bottom end of the sliding cleaning seat (14).

2. The self-cleaning cooling tower according to claim 1, wherein The heat dissipation and cleaning mechanism (1) further includes an air duct guard plate (11). A radiator (19) is provided inside the air duct guard plate (11).

3. The self-cleaning cooling tower according to claim 1, characterized in that, The wind speed mechanism (2) includes a top cover (21). A top ventilation hole (24) for air circulation is formed on the top surface of the top cover (21). A wind speed sensor (22) for detecting the air flow speed is fixedly connected to the side end of the top ventilation hole (24). An intelligent control terminal (23) for analyzing and processing the wind speed is fixedly connected to the side end of the wind speed sensor (22).

4. The self-cleaning cooling tower according to claim 1, wherein, The wind speed mechanism (2) further includes a ventilation plate frame (25) provided at the bottom end of the top cover (21). A blower (26) for generating a pressure difference is fixedly connected to the central position of the ventilation plate frame (25). A fan blade (27) is fixedly connected to the top end of the blower (26). A plurality of internal ventilation holes (28) are formed on the ventilation plate frame (25).

5. The self-cleaning cooling tower according to claim 1, wherein, The filtering mechanism (3) includes a filtering base (31). A plurality of bottom ventilation holes (32) are formed on the filtering base (31). A filter (33) is fixedly connected to the central position of the filtering base (31).

6. The self-cleaning cooling tower according to claim 1, wherein, An expansion water pipe (61) is fixedly connected between the expansion water tank (6) and the heat dissipation and cleaning mechanism (1). A cooling pipe (51) is fixedly connected between the expansion water pipe (61) and the cooling object (5). The elastic water pipe (12) is fixedly connected to the cleaning water tank (4).

7. A control method applied to the self-cleaning cooling tower according to any one of the above claims 1-6, characterized in that, The method includes the following steps: S1. Start the radiator (19) and the first water pump inside the radiator (19) in the heat dissipation and cleaning mechanism (1), so that the radiator (19) cools and dissipates heat from the cooling object (5) in real time through the first water pump, and the first water pump provides power for the flow of water in the heat dissipation and cleaning mechanism (1). S2. Start the intelligent control terminal (23) and the fan (26). The intelligent control terminal (23) collects the original air volume F every t minutes t , and for the original air volume F t , perform preprocessing to obtain the multi-scale preprocessing value Y h ; S3. Generate a duct blockage detection result based on the change amount ΔF of the multi-scale preprocessing value Y h and control the second water pump in the cleaning water tank (4) and the alarm of the management center of the self-cleaning cooling tower according to the duct blockage detection result. q ​ 8. A self-cleaning cooling tower control method according to claim 8, characterized in that, In step S2, the specific implementation steps are as follows: S21. Obtain several original air volumes F t , and calculate the denoised signal F based on the original air volume F t . The calculation formula is as follows: u ​ Among them, α k represents an adaptive weight coefficient, represents the local variance of the wavelet coefficients at the k-th layer, ε represents the non-zero minimum value, and W k represents the dynamic wavelet basis function, and sgn(F t ) represents the sign function of the original air volume F t ; S22. Calculate the dynamic compensation value D based on the denoised signal F u b The calculation formula is as follows:​ Among them, β c represents the dynamic compensation factor, represents the denoised signal F u in the differential form with respect to time t, and Δt represents the response delay of the sensor; S23. Calculate the multi-scale preprocessing value Y according to the dynamic compensation value D b h The calculation formula is as follows:​ Among them, λ m represents the weight coefficient, and EMA n (D b ) represents the exponential moving average operator with a time window of n, and M represents the number of dynamic compensation values D b .

9. A self-cleaning cooling tower control method according to claim 8, characterized in that, In step S3, the specific implementation steps are as follows: S31. Obtain multiple multi-scale preprocessing values with time stamps and calculate the change amount ΔF of the multi-scale preprocessing values at adjacent times The calculation formula is as follows q : Among them, and respectively represent the multi-scale preprocessing values with time markers of s and s + 1; S32. Calculate the dynamic threshold V according to the multi-scale preprocessing value Y h The calculation formula is as follows: Among them, represents the average value of the multi-scale preprocessing values ; S33. Judge the air duct blockage situation according to the dynamic threshold V and generate an air duct blockage detection result. If then the air duct blockage detection result is that the air duct is unblocked and the process ends; If the air duct blockage detection result is that the air duct is relatively blocked, and the second water pump is started to clean the heat dissipation and cleaning mechanism; If ΔF q > V, the detection result of the air duct blockage is that the air duct is blocked, and the alarm is activated for alarm.

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