Intelligent radiator filth blockage cleaning system based on multi-sensor data fusion

Abstract

The invention discloses a radiator filth blockage intelligent cleaning system based on multi-sensor data fusion. The radiator filth blockage intelligent cleaning system comprises a controller, a cleaning execution device and a differential pressure sensor. The cleaning execution device is arranged between a fan and a radiating grid of the radiator; the pressure difference sensor, the infrared scattering type particulate matter sensor and the infrared thermal imaging sensor are used for detecting the radiator to obtain pressure difference data, dust concentration data and temperature difference data; the controller calculates the pollution index of the radiator according to the pressure difference data, the dust concentration data and the temperature difference data, and when the pollution index reaches a set threshold value G, a cleaning instruction is generated and sent to the cleaning execution device; the cleaning execution device is used for cleaning the heat dissipation grid according to the cleaning instruction; the filth blockage condition of the radiator is detected in real time, and the radiator is dynamically cleaned according to the filth blockage condition of the radiator; and the problems that the cleaning execution device cannot clean the radiator in time and cannot clean the radiator in place are solved.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of radiator cleaning, and particularly relates to a radiator dirty and clogged intelligent cleaning system based on multi-sensor data fusion. BACKGROUND

[0002] A radiator is a device for transferring heat from a heat source to the surrounding environment, which mainly prevents the device from being damaged or reducing performance due to overheating, and ensures that the device stably operates in a normal temperature range; however, the radiator is in a dirty and clogged environment for a long time, which may cause the engineering machinery to be damaged in advance.

[0003] The current radiator automatic cleaning device includes a brush cleaning device, an airflow cleaning device and a water cleaning device; the existing radiator automatic cleaning device often selects timed cleaning, and a fixed number of times of cleaning each time. However, the working frequency and working environment of the radiator are constantly changing, and when the working environment becomes poor, timed cleaning may easily cause the radiator to be clogged in advance; the radiator has different clogging degrees, and a fixed number of times of cleaning each time may easily cause the radiator to be not cleaned in place, thereby reducing the working efficiency of the engineering machinery. SUMMARY

[0004] The application provides a radiator dirty and clogged intelligent cleaning system based on multi-sensor data fusion, which can detect the dirty and clogged condition of the radiator in real time, and dynamically clean the radiator according to the dirty and clogged condition of the radiator.

[0005] To achieve the above purpose, the technical scheme adopted by the application is:

[0006] The application provides a radiator dirty and clogged intelligent cleaning system based on multi-sensor data fusion, which can detect the dirty and clogged condition of the radiator in real time, and dynamically clean the radiator according to the dirty and clogged condition of the radiator.

[0007] The cleaning execution device is arranged between the fan and the radiator grid of the radiator; and the two pressure detection ports of the differential pressure sensor are arranged at the air inlet and the air outlet of the radiator, respectively.

[0008] The infrared scattering particulate matter sensor and the infrared thermal imaging sensor are arranged on one side of the radiator grid; the differential pressure sensor, the infrared scattering particulate matter sensor and the infrared thermal imaging sensor are electrically connected to the input end of the controller; and the cleaning execution device is electrically connected to the output end of the controller.

[0009] The differential pressure sensor detects the pressure difference data between the inlet and outlet of the radiator; the infrared scattering particulate matter sensor detects the dust concentration data near the radiator grille; the infrared thermal imaging sensor detects the temperature difference data of different areas of the radiator grille; the controller calculates the pollution index of the radiator according to the pressure difference data, the dust concentration data and the temperature difference data, generates a cleaning instruction when the pollution index reaches a set threshold G and sends it to the cleaning execution device; the cleaning instruction includes the cleaning frequency set according to the pollution index, and the cleaning execution device cleans the radiator grille according to the cleaning instruction.

[0010] Further, the fan includes blades and a first motor capable of rotating forward and reverse; the controller is electrically connected with the first motor, and the controller drives the blades to rotate forward and reverse through the first motor.

[0011] Further, the cleaning execution device includes a spray pipe, a water pump and a water tank; the water tank, the water pump and the spray pipe are connected in sequence by pipelines, and the water tank stores cleaning liquid; the water pump drives the cleaning liquid to be sprayed out through the spray pipe to clean the radiator grille.

[0012] Further, the water tank is provided with a water inlet at the top; a quantitative feeding mechanism is arranged on the side wall of the water tank; a stirring mechanism is arranged at the bottom of the water tank; the quantitative feeding mechanism injects cleaning agent into the water tank according to demand, and the stirring mechanism stirs the water and the cleaning agent to form cleaning liquid.

[0013] Further, the cleaning execution device includes a frame matched with the radiator grille; a first sliding connecting rod and a second sliding connecting rod are slidingly arranged on the frame; the sliding direction of the first sliding connecting rod is arranged along the axial direction of the second sliding connecting rod, and the sliding direction of the second sliding connecting rod is arranged along the axial direction of the first sliding connecting rod; two linear modules drive the first sliding connecting rod and the second sliding connecting rod to slide respectively; the two linear modules are electrically connected with the controller.

[0014] The first sliding connecting rod and the second sliding connecting rod are arranged in a cross perpendicular manner, and a mounting block is arranged at the intersection of the first sliding connecting rod and the second sliding connecting rod, and the mounting block is slidingly connected with the first sliding connecting rod and the second sliding connecting rod; the mounting block is provided with a spray pipe.

[0015] Further, the linear module includes a second motor, a lead screw and a sliding table; the sliding table is slidingly connected with the frame, the lead screw is threadedly connected with the sliding table, the second motor drives the lead screw to rotate, and the second motor drives the sliding table to move; the second motor is electrically connected with the controller.

[0016] The first sliding connecting rod and the second sliding connecting rod are respectively connected to the sliding tables of the two linear modules.

[0017] The second aspect of the present application provides a control method of a radiator dirty block intelligent cleaning system based on multi-sensor data fusion, comprising:

[0018] detecting pressure difference data between the inlet and outlet of the radiator through a differential pressure sensor; detecting dust concentration data near the radiator grille through an infrared scattering particulate matter sensor; detecting temperature difference data of different areas of the radiator grille through an infrared thermal imaging sensor;

[0019] calculating the pollution index of the radiator according to the pressure difference data, the dust concentration data and the temperature difference data;

[0020] generating a cleaning instruction and sending it to a cleaning execution device when the pollution index reaches a set threshold G; the cleaning instruction contains the cleaning frequency set according to the pollution index.

[0021] Further, calculating the pollution index of the radiator according to the pressure difference data, the dust concentration data and the temperature difference data, comprising:

[0022] when the dust concentration is less than a threshold H1 and the temperature difference is less than a threshold H2, judging that the radiator is in a normal dirty block state, and setting the weights of the pressure difference data, the dust concentration data and the temperature difference data as 、 and respectively;

[0023] when the dust concentration is less than a threshold H1 and the duration is greater than a time threshold T; judging that the radiator is in an oil dirty block state, and setting the weights of the pressure difference data, the dust concentration data and the temperature difference data as 、 and respectively;

[0024] when the temperature difference is less than a threshold H2 and the duration is greater than a time threshold T; judging that the radiator is in a dust dirty block state, and setting the weights of the pressure difference data, the dust concentration data and the temperature difference data as 、 and respectively;

[0025] weighting and summing the pressure difference, the dust concentration and the temperature difference to obtain the pollution index of the radiator, and the expression formula is:

[0026]

[0027] In the formula, is the pollution index of the radiator, is the pressure difference, is the weight of the pressure difference, D is the dust concentration, is the weight of the dust concentration, is the temperature difference, is the weight of temperature difference; k represents the dirty state of the heat sink.

[0028] Further, the fan comprises blades and a first motor capable of rotating in both directions; the first motor drives the blades to rotate in both directions; the first motor is electrically connected with the controller;

[0029] When the pollution index reaches the set threshold G, and before the cleaning execution device acts; the first motor drives the blades to rotate in both directions.

[0030] Further, a plurality of pollution stages are preset, and a cleaning number is set for each pollution stage; when the pollution index reaches the set threshold G, the cleaning number required by the cleaning execution device to execute is determined according to the pollution stage in which the pollution index is located.

[0031] Further, the cleaning execution device comprises a frame matched with the heat dissipation grid; the first sliding connecting rod and the second sliding connecting rod are slidingly arranged on the frame; the sliding direction of the first sliding connecting rod is arranged along the axial direction of the second sliding connecting rod, and the sliding direction of the second sliding connecting rod is arranged along the axial direction of the first sliding connecting rod; two linear modules drive the first sliding connecting rod and the second sliding connecting rod to slide respectively; the two linear modules are electrically connected with the controller;

[0032] The first sliding connecting rod and the second sliding connecting rod are arranged in a cross perpendicular manner, and the intersection of the first sliding connecting rod and the second sliding connecting rod is provided with a mounting block; the mounting block is slidingly connected with the first sliding connecting rod and the second sliding connecting rod; the mounting block is provided with a spraying pipe;

[0033] The cleaning coordinate range is received, and the linear module is controlled to act according to the cleaning coordinate range; the linear module drives the spraying pipe to move to position and clean the heat dissipation grid.

[0034] Compared with the prior art, the present application has the following advantages:

[0035] The controller calculates the pollution index of the heat sink according to the pressure difference data, the dust concentration data and the temperature difference data, generates a cleaning instruction when the pollution index reaches the set threshold G, and sends the cleaning instruction to the cleaning execution device; the cleaning instruction contains the cleaning number set according to the pollution index, and the cleaning execution device cleans the heat dissipation grid according to the cleaning instruction; the dirty state of the heat sink is detected in real time, and the heat sink is dynamically cleaned according to the dirty state of the heat sink; the problem that the cleaning execution device does not clean the heat sink in time and does not clean completely is avoided. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 The structure diagram of the heat sink dirty intelligent cleaning system provided by the embodiment 1 of the present application is shown;

[0037] Figure 2 This is a structural diagram of the positioning drive mechanism of the cleaning execution device provided in Embodiment 1 of the present invention;

[0038] Figure 3 This is a structural diagram of the cleaning drive mechanism of the cleaning execution device provided in Embodiment 1 of the present invention.

[0039] In the diagram, 1 is the fan, 11 is the first motor, 12 is the blade, 2 is the heat dissipation grille, 3 is the cleaning actuator, 31 is the frame, 32 is the first linear module, 33 is the second linear module, 34 is the second sliding link, 35 is the first sliding link, 36 is the mounting block, 37 is the spray pipe, 4 is the water tank, and 5 is the water pump. Detailed Implementation

[0040] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0041] Example 1

[0042] like Figures 1 to 3 As shown, this embodiment provides an intelligent cleaning system for radiator clogging based on multi-sensor data fusion, including a controller, a cleaning execution device 3, and a differential pressure sensor;

[0043] The cleaning execution device 3 is disposed between the fan 2 and the heat dissipation grille 2 of the radiator; the two pressure detection ports of the differential pressure sensor are respectively disposed at the air inlet and air outlet of the radiator; the fan 2 includes blades 12 and a first motor 11 capable of rotating in both directions; the controller is electrically connected to the first motor 11, and the controller drives the blades 11 to rotate in both directions through the first motor 11.

[0044] An infrared scattering particulate sensor and an infrared thermal imaging sensor are provided on one side of the heat dissipation grille 2 of the radiator; the differential pressure sensor, the infrared scattering particulate sensor, and the infrared thermal imaging sensor are electrically connected to the input terminal of the controller; the cleaning execution device is electrically connected to the output terminal of the controller;

[0045] The differential pressure sensor detects the pressure difference between the inlet and outlet of the radiator. When the radiator is clogged (e.g., with dust or deposits), the flow channel narrows, increasing flow resistance and causing the pressure difference between the inside and outside of the radiator to rise. A clean radiator has a small air pressure difference (e.g., 50-200 Pa, depending on wind speed). If the pressure difference increases significantly (e.g., >300 Pa), it indicates obstructed airflow and potential clogging. The differential pressure sensor is mainly used to detect large-area clogging of the radiator by detecting the absolute pressure at the inlet and outlet and then calculating the pressure difference. A larger pressure difference between the inside and outside of the radiator indicates a more severe clogging.

[0046] The infrared scattering particle sensor detects dust concentration data near the heat dissipation grid; when the laser beam irradiates on the suspended particles in the air, scattering phenomenon occurs. By measuring the scattering light intensity and comparing with the reference value, the number of particles in unit volume can be accurately calculated, and then the concentration of dust in the air can be obtained. Generally considered, the intensity of scattered light is proportional to the dust concentration, the greater the dust concentration, the more serious the blockage. The suspended particles will increase the deposition amount of the heat sink in a certain time, resulting in the increase of the heat sink thermal resistance and the decrease of the heat exchange amount. Therefore, when the infrared scattering particle sensor detects large diameter particles (> PM10= 5mg / m3) for a period of time (100h), it is judged that the main pollution is dust accumulation.

[0047] The infrared thermal imaging sensor detects temperature difference data of different areas of the heat dissipation grid; the high temperature patch of the blocked area due to poor heat dissipation is presented by the cooling medium, which is compared with the thermal image of the normal working condition, or the temperature difference of different areas of the heat sink (the temperature difference of the blocked area may exceed 10~15℃), to identify the dirty blockage area of the heat sink. This sensor mainly detects the oil pollution dominant (oil pollution, resin, asphalt, industrial oil mist environment) and insects, lint causing local dirty blockage of the heat sink, forming a viscous and difficult to remove heat insulation layer on the surface of the heat sink. The higher the temperature of the detection area, the more serious the dirty blockage.

[0048] The controller calculates the pollution index of the heat sink according to the pressure difference data, dust concentration data and temperature difference data, generates a cleaning instruction when the pollution index reaches a set threshold G, and sends it to the cleaning execution device 3; the cleaning instruction contains the cleaning times set according to the pollution index, and the cleaning execution device 3 cleans the heat dissipation grid according to the cleaning instruction.

[0049] The cleaning execution device 3 includes a spray pipe 37, a water pump 5 and a water tank 4; the water tank 4, the water pump 5 and the spray pipe 37 are connected in sequence by pipelines, and the water tank 4 stores cleaning liquid; the water pump 5 drives the cleaning liquid to be sprayed out through the spray pipe 37 to clean the heat dissipation grid 2.

[0050] The water tank 4 is provided with a water inlet on the top; a quantitative feeding mechanism is arranged on the side wall of the water tank 4; a stirring mechanism is arranged at the bottom of the water tank 4; the quantitative feeding mechanism injects cleaning agent into the water tank according to the demand, and the stirring mechanism stirs the water and cleaning agent to form cleaning liquid.

[0051] The cleaning execution device 3 includes a frame 31 matched with the heat dissipation grid; a first sliding connecting rod 35 and a second sliding connecting rod 34 are slidingly arranged on the frame 31; the sliding direction of the first sliding connecting rod 35 is arranged along the axial direction of the second sliding connecting rod 34, and the sliding direction of the second sliding connecting rod 34 is arranged along the axial direction of the first sliding connecting rod 35.

[0052] The first sliding link 35 and the second sliding link 34 are arranged in a cross perpendicular manner, and a mounting block 36 is arranged at the cross of the first sliding link 35 and the second sliding link 34, and the mounting block 36 is in sliding connection with the first sliding link 35 and the second sliding link 34; and a spraying pipe 37 is arranged on the mounting block 36.

[0053] The first linear module 32 drives the first sliding link 35 to slide, and the second linear module 33 drives the second sliding link 34 to slide; the first linear module 32 and the second linear module 33 are electrically connected with the controller; the first linear module 32 and the second linear module 33 comprise a second motor, a lead screw and a sliding table; the sliding table is in sliding connection with the frame, the lead screw is in threaded connection with the sliding table, the second motor drives the lead screw to rotate, and the second motor drives the sliding table to move; the second motor is electrically connected with the controller; the first sliding link and the second sliding link are respectively connected to the sliding tables of the two linear modules.

[0054] The present application analyzes the surface of the radiator through an infrared thermal imaging sensor (surface temperature distribution), a differential pressure sensor (air flow resistance) and an infrared scattering particulate matter sensor (particle concentration), judges the dirty and blocked type of the radiator through the data change trend of several sensors and calibration under as many working conditions as possible, calculates the weight ratio of several pollution scenes (oil pollution dominant, normal pollution and dust accumulation), and triggers the cleaning execution device of the radiator to clean when the data obtained by the sensor is greater than the value calculated by the corresponding weight ratio after threshold value. The radiator capacity caused by dirty and blockage of the radiator can be prevented, the self-cleaning ability of the heat dissipation system is improved, and the reliability of the heat dissipation system is also improved. The robot can also control the opening and closing of the water pump directly to clean the radiator at a suitable position. Not only the step of disassembling the dust screen is saved, but also water is sprayed from the radiator to the outside of the radiator, and dirty water is directly discharged to the outside of the engineering machinery, so that the influence of secondary pollution caused by water spraying from the outside to the inside is changed.

[0055] Embodiment 2

[0056] The present embodiment provides a control method of a radiator dirty and blocked intelligent cleaning system based on multi-sensor data fusion, which is applied to the radiator dirty and blocked intelligent cleaning system in embodiment 1, and the control method comprises the following steps:

[0057] The pressure difference data between the inlet and the outlet of the radiator is detected by the differential pressure sensor; the dust concentration data near the radiator grid is detected by the infrared scattering particulate matter sensor; and the temperature difference data of different areas of the radiator grid is detected by the infrared thermal imaging sensor.

[0058] The pollution index of the heat sink is calculated according to the pressure difference data, the dust concentration data and the temperature difference data, including:

[0059] When the dust concentration is less than the threshold H1 and the temperature difference is less than the threshold H2, it is judged that the heat sink is in a normal dirty state, and the weights of the pressure difference data, the dust concentration data and the temperature difference data are set as 、 and respectively.

[0060] When the dust concentration is less than the threshold H1 and the duration is greater than the time threshold T, it is judged that the heat sink is in an oil dirty state, and the weights of the pressure difference data, the dust concentration data and the temperature difference data are set as 、 and respectively.

[0061] When the temperature difference is less than the threshold H2 and the duration is greater than the time threshold T, it is judged that the heat sink is in a dust dirty state, and the weights of the pressure difference data, the dust concentration data and the temperature difference data are set as 、 and respectively. As shown in Table 1, the weight values of the pressure difference data, the dust concentration data and the temperature difference data in the embodiment are shown in the weight value table.

[0062] Table 1, the weight value table of the pressure difference data, the dust concentration data and the temperature difference data.

[0063]

[0064] The pollution index of the heat sink is obtained by weighted sum of the pressure difference, the dust concentration and the temperature difference, and the expression formula is:

[0065]

[0066] In the formula, is the pollution index of the heat sink, is the pressure difference, is the weight of the pressure difference, D is the dust concentration, is the weight of the dust concentration, is the temperature difference, is the weight of the temperature difference; k represents the dirty state of the heat sink. The embodiment can adjust the addition amount of the cleaning agent according to the dirty state of the heat sink.

[0067] When the pollution index reaches a set threshold G, a cleaning instruction and a fan rotation instruction are generated, and the cleaning instruction includes a cleaning frequency set according to the pollution index.

[0068] The cleaning frequency set according to the pollution index specifically includes:

[0069] A plurality of pollution stages are preset, and a cleaning number is set for each pollution stage, when the pollution index reaches the set threshold G, the cleaning number to be executed by the cleaning execution device is determined according to the pollution stage in which the pollution index is located.

[0070] The fan rotation instruction is sent to the first motor, and the blade is driven to rotate forward and reverse by the first motor; in the application, the cleaning water is sprayed to the surface of the radiator which needs to be cleaned, and the cleaning water is powered by the water pump and has an adsorption effect on the dust when flowing through the radiator.

[0071] The cleaning instruction is sent to the cleaning execution device, and the cleaning execution device cleans the radiator grille according to the cleaning instruction. In addition, the cleaning coordinate range can also be received, the position of the spray pipe along the X axis is adjusted by controlling the action of the first linear module, the position of the spray pipe along the Y axis is adjusted by controlling the action of the first linear module, and the linear module drives the spray pipe to move to position and clean the radiator grille.

[0072] Spraying the radiator can prevent the radiator from being dirty and blocked, which can cause the radiator to be insufficient, improve the self-cleaning ability of the cleaning system, and also improve the reliability of the heat dissipation system. The operator can control the opening and closing of the water pump by pressing the button in the cab, which not only improves the work efficiency, but also saves the step of disassembling the dust screen, reduces the labor intensity of the workers, and the dirty water is directly discharged to the outside of the engineering machinery, which can change the previous influence of secondary pollution caused by spraying water from the outside to the inside.

[0073] The present application is described with reference to flowcharts and / or block diagrams according to the method, equipment (system) and computer program product of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be realized by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a machine that implements the function specified in the flow Figure 1 The device for realizing the function specified in one flow or multiple flows and / or blocks Figure 1 The device for realizing the function specified in one flow or multiple flows and / or blocks

[0074] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the technical principles of the present application, a number of improvements and modifications can be made, and these improvements and modifications should be considered as the protection scope of the present application.

Claims

1. A radiator dirty block intelligent cleaning system based on multi-sensor data fusion, characterized in that, The controller, the cleaning execution device and the differential pressure sensor are included. The cleaning execution device is arranged between the fan and the heat dissipation grid of the heat sink. The differential pressure sensor, the infrared scattering particulate matter sensor and the infrared thermal imaging sensor are electrically connected to the input end of the controller. The differential pressure sensor detects the pressure difference data between the inlet and outlet of the heat sink.

2. The intelligent cleaning system for radiator clogging according to claim 1, characterized in that, The infrared scattering particulate matter sensor detects the dust concentration data near the heat dissipation grid.

3. The intelligent cleaning system for radiator clogging according to claim 1, wherein, The infrared thermal imaging sensor detects the temperature difference data of different areas of the heat dissipation grid.

4. The intelligent cleaning system for radiator clogging according to claim 1, characterized in that, The controller calculates the pollution index of the heat sink according to the pressure difference data, the dust concentration data and the temperature difference data. The fan includes blades and a first motor capable of rotating in both directions.

5. The intelligent cleaning system for radiator clogging according to claim 1, wherein, The controller is electrically connected to the first motor, and the controller drives the blades to rotate in both directions through the first motor. The cleaning execution device includes a spray pipe, a water pump and a water tank.

6. The control method of the intelligent cleaning system for the radiator clogging according to any one of claims 1 to 5, characterized in that, The first sliding link and the second sliding link are arranged on the frame in a sliding manner. The first sliding link and the second sliding link are arranged in a cross perpendicular manner. The mounting block is arranged at the intersection of the first sliding link and the second sliding link. The linear module includes a second motor, a lead screw and a sliding table. The first sliding link and the second sliding link are respectively connected to the sliding tables of the two linear modules. The controller, the cleaning execution device and the differential pressure sensor are included. The differential pressure sensor detects the pressure difference data between the inlet and outlet of the heat sink. The infrared scattering particulate matter sensor detects the dust concentration data near the heat dissipation grid. The infrared thermal imaging sensor detects the temperature difference data of different areas of the heat dissipation grid. The controller calculates the pollution index of the heat sink according to the pressure difference data, the dust concentration data and the temperature difference data. When the pollution index reaches a set threshold G, a cleaning instruction is generated and sent to a cleaning execution device; the cleaning instruction includes a cleaning frequency set according to the pollution index.

7. The control method according to claim 6, characterized by The pollution index of the heat sink is calculated according to the pressure difference data, the dust concentration data and the temperature difference data, including: When the dust concentration is less than the threshold H1 and the temperature difference is less than the threshold H2, it is judged that the heat sink is in a normal dirty state, and the weights of the pressure difference data, the dust concentration data and the temperature difference data are respectively set as , and ; When the dust concentration is less than the threshold H1 and the duration is greater than the time threshold T; it is judged that the heat sink is in the oil dirt dirty block state, and the weights of the pressure difference data, the dust concentration data and the temperature difference data are respectively set as 、 and ; When the temperature difference is less than the threshold H2 and the duration is greater than the time threshold T; it is judged that the heat sink is in the dust dirty blocking state, and the weights of the pressure difference data, the dust concentration data and the temperature difference data are set as , and , respectively. The pollution index of the heat sink is obtained by weighted summation of the pressure difference, the dust concentration and the temperature difference, and the expression formula is: ； In the formula, is a pollution index of the radiator, is a pressure difference, is a weight of the pressure difference, D is a dust concentration, is a weight of the dust concentration, is a temperature difference, is a weight of the temperature difference; k indicates a dirty state of the radiator.

8. The control method according to claim 6, characterized by, The fan includes blades and a first motor capable of rotating in both directions; the first motor drives the blades to rotate in both directions; the first motor is electrically connected to the controller; When the pollution index reaches a set threshold G, and before the cleaning execution device is actuated; The blades are driven to rotate in both directions by the first motor.

9. The control method according to claim 6, characterized by, The cleaning frequency set according to the pollution index specifically includes: A plurality of pollution stages are preset, and a cleaning frequency is set for each pollution stage; when the pollution index reaches a set threshold G, the cleaning frequency to be performed by the cleaning execution device is determined according to the pollution stage in which the pollution index is located.

10. The control method according to claim 6, characterized by, The cleaning execution device includes a frame matched with the heat dissipation grid; the frame is slidably provided with a first sliding link and a second sliding link; the sliding direction of the first sliding link is arranged along the axial direction of the second sliding link, and the sliding direction of the second sliding link is arranged along the axial direction of the first sliding link; two linear modules drive the first sliding link and the second sliding link to slide, respectively; the two linear modules are electrically connected to the controller; The first sliding link and the second sliding link are arranged perpendicularly, and the intersection of the first sliding link and the second sliding link is provided with a mounting block; the mounting block is slidably connected to the first sliding link and the second sliding link; the mounting block is provided with a spray pipe; The cleaning coordinate range is received, and the linear module is controlled to act according to the cleaning coordinate range; the linear module drives the spray pipe to move to position and clean the heat dissipation grid.

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