Filth blockage detection method and device, electronic equipment and storage medium

Abstract

The invention discloses a filth blockage detection method and device, electronic equipment and a storage medium. The filth blockage detection method comprises the following steps: acquiring pressure data acquired by a pressure sensor; and if the pressure data is larger than a preset pressure threshold value and is maintained for a preset first time length, it is determined that the fan device is in a filth blockage state. According to the embodiment of the invention, when the pressure data is greater than the preset pressure threshold value and the preset first time length is maintained, the filth blockage state of the fan device is determined, so that the filth blockage state of the fan device can be directly detected according to the pressure data corresponding to the fan device, the filth blockage state does not need to be judged manually, and the detection efficiency is improved. And the filth blockage state of the fan is determined only when the pressure data is greater than the preset pressure threshold value and the first time length is maintained, so that misjudgment of the filth blockage state caused by errors of pressure data acquisition in a short time is avoided, and the filth blockage detection efficiency and accuracy can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic devices, belonging to the technology of electronic control boxes, and specifically relates to a dirt blockage detection method, device, electronic device, and storage medium. Background Art

[0002] A radiator is a common component in electronic devices. Common types of radiators include air-cooled radiators, heat pipe radiators, and liquid-cooled radiators, etc. Among them, the air-cooled radiator is a relatively conventional heat dissipation technology. Its working principle is to generate an air flow through a fan and use the air flow to take away the heat on the heat sink, thereby reducing the temperature inside the heat-generating component. However, in order to prevent dust in the air from flying into the radiator, a heat dissipation shutter and filter cotton are often installed at the front end of the fan of the air-cooled radiator to clean the air entering the cabinet. However, due to the relatively large amount of dust in the air in some application scenarios, when the heat dissipation fan runs for a long time, the filter cotton of the air-cooled radiator often accumulates dust, which affects the heat dissipation ability of the air-cooled radiator and even causes the air-cooled radiator to burn out. Summary of the Invention

[0003] Aiming at the above at least one technical problem, the purpose of the present invention is to provide a dirt blockage detection method, device, electronic device, and storage medium.

[0004] On the one hand, an embodiment of the present invention includes a dirt blockage detection method applied to a fan device. The fan device is provided with a pressure sensor, and the method includes:

[0005] Obtain the pressure data collected by the pressure sensor;

[0006] If the pressure data is greater than a preset pressure threshold and maintains a preset first time length, it is determined that the fan device is in a dirt blockage state.

[0007] Further, the fan device is provided with a temperature sensor, and the method further includes:

[0008] Obtain the temperature data collected by the temperature sensor;

[0009] If the pressure data is greater than the preset pressure threshold within the first time length and the temperature data is greater than the preset temperature threshold within the second time length, it is determined that the fan device is in a dirt blockage state.

[0010] Further, before obtaining the pressure data collected by the pressure sensor, the method further includes:

[0011] Obtain the operation status signal corresponding to the fan device;

[0012] The obtaining of the pressure data collected by the pressure sensor includes:

[0013] If the operating state signal indicates that the fan device is in the on state, obtain the pressure data collected by the pressure sensor.

[0014] Further, before obtaining the pressure data collected by the pressure sensor, the method further includes:

[0015] Obtain a plurality of historical pressure data sets; the historical pressure data set is historical pressure data collected within a preset third time length;

[0016] According to the data stability values corresponding to each of the historical pressure data sets, select a target historical pressure data set, and use the average value of the historical pressure data in the target historical pressure data set as the pressure threshold.

[0017] Further, the selecting a target historical pressure data set according to the data stability values corresponding to each of the historical pressure data sets includes:

[0018] Calculate the differences between the respective historical pressure data in the historical pressure data set, and calculate the average value of the differences between the respective historical pressure data as the data stability value corresponding to the respective historical pressure data;

[0019] Select the historical pressure data set with the smallest data stability value corresponding to each of the historical pressure data as the target historical pressure data set.

[0020] Further, the fan device stores historical pressure data collected by the pressure sensor, and the method further includes:

[0021] Detect the clogging condition of the fan device by using a clogging detection model trained with the historical pressure data according to the pressure data, and obtain the clogging state corresponding to the fan device.

[0022] On the other hand, an embodiment of the present invention includes a clogging detection method applied to a fan device, the fan device is provided with a temperature sensor, and the method includes:

[0023] Obtain the temperature data collected by the temperature sensor;

[0024] If the temperature data is greater than a preset temperature threshold and has been maintained for a preset second time length, determine that the fan device is in a clogged state.

[0025] On the other hand, an embodiment of the present invention further includes a clogging detection device applied to a fan device, the fan device is provided with a pressure sensor, and the device includes:

[0026] A pressure acquisition module, configured to acquire the pressure data collected by the pressure sensor;

[0027] A pressure determination module, configured to determine that the fan device is in a dirty blockage state if the pressure data is greater than a preset pressure threshold and has been maintained for a preset first time length.

[0028] On the other hand, an embodiment of the present invention further includes a dirty blockage detection device applied to a fan device, where the fan device is provided with a temperature sensor, and the device includes:

[0029] A temperature acquisition module, configured to acquire temperature data collected by the temperature sensor;

[0030] A temperature determination module, configured to determine that the fan device is in a dirty blockage state if the temperature data is greater than a preset temperature threshold and has been maintained for a preset second time length.

[0031] On the other hand, an embodiment of the present invention further includes a computer device, including a memory and a processor, where the memory is used to store at least one program, and the processor is used to load the at least one program to execute the dirty blockage detection method in the embodiment.

[0032] Compared with the related art, the embodiments of the present application have the following beneficial effects:

[0033] The embodiments of the present application provide a dirty blockage detection method, device, electronic device and storage medium, which acquire pressure data collected by a pressure sensor; if the pressure data is greater than a preset pressure threshold and has been maintained for a preset first time length, it is determined that the fan device is in a dirty blockage state. By implementing the embodiments of the present application, the fan device can acquire the pressure data collected by the pressure sensor. When the pressure data is greater than the preset pressure threshold and has been maintained for the preset first time length, it is determined that the fan device is in a dirty blockage state. It can directly detect the dirty blockage state of the fan device according to the pressure data corresponding to the fan device, without relying on manual judgment of the dirty blockage state, and only when the pressure data is greater than the preset pressure threshold and has been maintained for the first time length, it is determined that the fan has a dirty blockage state, avoiding misjudgment of the dirty blockage state due to errors in pressure data acquisition within a short period of time, and can improve the efficiency and accuracy of dirty blockage detection. Description of the Drawings

[0034] Figure 1 is an application scenario diagram of a dirty blockage detection method disclosed in an embodiment of the present application;

[0035] Figure 2 is a flow schematic diagram of a dirty blockage detection method disclosed in an embodiment of the present application;

[0036] Figure 3 is a structural diagram of a fan device in an embodiment;

[0037] Figure 4 is a structural diagram of a fan device in an embodiment;

[0038] Figure 5 is a schematic structural diagram of a pressure detection circuit in an embodiment;

[0039] Figure 6 is a schematic flowchart of another dirt blockage detection method disclosed in an embodiment of the present application;

[0040] Figure 7 is a schematic structural diagram of a dirt blockage detection device disclosed in an embodiment of the present application;

[0041] Figure 8 is a schematic structural diagram of another dirt blockage detection device disclosed in an embodiment of the present application;

[0042] Figure 9 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. Detailed implementation manners

[0043] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0044] It should be noted that the terms "including" and "having" and any variations thereof in the embodiments of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.

[0045] It can be understood that the terms "first", "second", etc. used in the present application can be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from another element. For example, without departing from the scope of the present application, the first time length can be referred to as the second time length, and similarly, the second time length can be referred to as the first time length. Both the first time length and the second time length are time lengths, but they are not the same time length.

[0046] The embodiments of the present application disclose a dirt blockage detection method, device, electronic device, and storage medium, which can improve the efficiency and accuracy of dirt blockage detection. The following will be described in detail respectively.

[0047] Please refer toFigure 1 , Figure 1 is an application scenario diagram of a dirt blockage detection method disclosed in an embodiment of the present application. The dirt blockage detection method is applicable to the fan device 101, and a pressure sensor may be provided inside the fan device 101. The above-mentioned fan device may be disposed in an electronic device that needs to be cooled. Further, the above-mentioned fan device may be disposed in an electric control cabinet as a heat dissipation device of the electric control cabinet.

[0048] The fan device 101 can obtain the pressure data collected by the pressure sensor. If the pressure data is greater than a preset pressure threshold and maintains a preset first time length, it is determined that the fan device is in a dirt blockage state.

[0049] Figure 2 is a schematic flowchart of a dirt blockage detection method disclosed in an embodiment of the present application. Among them, Figure 2 the described dirt blockage detection method is applicable to the fan device. As Figure 2 shown, the dirt blockage detection method may include the following steps:

[0050] Step S202, obtain the pressure data collected by the pressure sensor.

[0051] In some embodiments, the fan device may be provided with a pressure sensor, and the pressure sensor may be disposed on the fan shaft of the fan device to detect the pressure data on the fan shaft. That is to say, the pressure data can be used to describe the pressure value on the fan shaft. Optionally, the fan device may also be provided with heat dissipation louvers to adjust the cooling degree of the fan device. Figure 3 is a structural diagram of a fan device in an embodiment. As Figure 3 shown, the heat dissipation louvers may be disposed on the front of the fan device. When the fan blades rotate, they drive the air flow, and the heat dissipation louvers can change the air flow passing through the fan device to adjust the cooling degree. Optionally, the fan device may also be provided with an air filter cotton to filter the dust in the air and reduce the dust in the air from entering the fan device. Figure 4 is a structural diagram of a fan device in an embodiment. As Figure 4 shown, a pressure sensor is disposed on the fan shaft of the fan device, and an air filter cotton is disposed between the fan blades and the heat dissipation louvers to filter the air flow driven by the rotation of the fan blades, thereby reducing the dust in the flowing air flow from entering the fan device.

[0052] As an alternative implementation, the pressure sensor of the fan device can obtain the pressure data collected by the pressure sensor every preset time period to ensure real-time acquisition of the pressure data corresponding to the fan device. For example, the fan device can control the pressure sensor to collect pressure data every 0.1 seconds. The fan device can also control the pressure sensor to collect pressure data every preset time period, and compare the currently collected pressure data with the historical pressure data collected last time. If the currently collected pressure data is different from the historical pressure data collected last time, then obtain the currently collected pressure data. For example, assume that the fan device controls the pressure sensor to collect pressure data every 1 second, and the pressure data collected by the pressure sensor at 15:00:01 is A Pa. If the pressure data collected by the pressure sensor at 15:00:00 is B Pa, then the fan device can obtain the pressure data collected at 15:00:01. By comparing the currently collected pressure data with the historical pressure data collected last time and obtaining the pressure data different from the historical pressure data, the redundancy of the obtained pressure data can be reduced, thereby improving the efficiency of processing the pressure data.

[0053] In some embodiments, the fan device further includes a pressure transducer and a PLC controller. The pressure transducer, the PLC controller, and the pressure sensor can form a pressure detection circuit of the fan device, and transmit the pressure data collected by the pressure sensor to the PLC controller of the fan device through the pressure detection circuit, so that the fan device can process the pressure data. Figure 5 is a schematic structural diagram of the pressure detection circuit in an embodiment, as Figure 5 shown, when the fan device reads the pressure data, it can be the pressure transmitter that reads the pressure data collected by the pressure sensor and converts the read pressure data into an analog value. Specifically, the range of this analog value can be 4 - 20 mA and 0 - 10 V. The fan device transmits this analog value to the PLC controller so that the fan device can obtain the pressure data and process the pressure data. Optionally, the fan device can transmit the obtained pressure data to the central control system through the Internet of Things with a wireless connection. The central control system can process the pressure data and generate a clogging prompt corresponding to the fan device when it determines that the fan device is in a clogged state, so as to quickly notify the maintenance personnel to clean the fan device.

[0054] Step S204, if the pressure data is greater than a preset pressure threshold and has been maintained for a preset first time length, then determine that the fan device is in a clogged state.

[0055] In some embodiments, after the fan device obtains the pressure data, it can judge the pressure data. If the pressure data is greater than a preset pressure threshold and maintains for a preset first time length, it is determined that the fan device is in a dirty blockage state. Among them, the pressure threshold can be obtained by analyzing historical pressure data, and the preset first time length can be determined according to the sensitivity of detecting dirty blockage required by the user. The lower the required sensitivity of detecting dirty blockage, the longer the first time length can be set; the higher the required sensitivity of detecting dirty blockage, the shorter the first time length can be set. For example, the first time length can be set to 10 minutes.

[0056] Furthermore, the fan device can obtain multiple historical pressure data sets; the historical pressure data set is the historical pressure data collected within a preset third time length; according to the data stability values corresponding to each historical pressure data set, the target historical pressure data set is selected, and the average value of the historical pressure data in the target historical pressure data set is used as the pressure threshold. The fan device can obtain multiple historical pressure data sets collected within the third time length. The third time length for collecting these historical pressure data sets can be continuous or discontinuous, which is not limited here. The data stability value corresponding to each historical pressure data set can be used to describe the magnitude of the difference between the multiple historical pressure data in the historical pressure data set. Generally speaking, the larger the data stability value corresponding to the historical pressure data set, the smaller the difference between the multiple historical pressure data in the historical pressure data set. After determining the target historical pressure data set, the fan device can remove the maximum value and the minimum value from the target historical pressure data set, then calculate the average value of the historical pressure data after removing the maximum value and the minimum value, and use this average value as the pressure threshold.

[0057] The fan device selects the target historical pressure data set according to the data stability values corresponding to each historical pressure data set, and uses the average value of the historical pressure data in the target historical pressure data set as the pressure threshold, which can analyze the historical pressure data set to obtain the pressure threshold, thereby improving the accuracy of judging the pressure data according to the pressure threshold and providing a technical basis for improving the accuracy of detecting the dirty blockage state of the fan device.

[0058] Further, the fan device can calculate the differences between the respective historical pressure data in the historical pressure data set, and calculate the average value of the differences between the respective historical pressure data as the data stability value corresponding to each historical pressure data; select the historical pressure data set with the smallest data stability value corresponding to each historical pressure data as the target historical pressure data set. The fan device can calculate the differences between every two historical pressure data in the historical pressure data set, and calculate the average value of the differences between every two historical pressure data as the data stability value corresponding to each historical pressure data. For example, assuming that the historical pressure data set includes historical pressure data A, historical pressure data B, and historical pressure data C, the differences between historical pressure data A and historical pressure data B, historical pressure data A and historical pressure data C, and historical pressure data B and historical pressure data C are calculated respectively, and the average value of the three differences is calculated to obtain the data stability value corresponding to the historical pressure data set.

[0059] The fan device calculates the differences between the respective historical pressure data in the historical pressure data set, and calculates the average value of the differences between the respective historical pressure data as the data stability value corresponding to each historical pressure data, which can improve the rationality of the calculated pressure threshold.

[0060] In some embodiments, the fan device can detect the clogging condition of the fan device according to the pressure data through a clogging detection model trained by historical pressure data, and obtain the clogging state corresponding to the fan device. Among them, the clogging state corresponding to the fan device can be used to describe the degree of clogging of the fan device. For example, the clogging state can be no clogging, slight clogging, and heavy clogging, etc. The clogging can also be divided into two types: having clogging and no clogging, which is not specifically limited. The clogging detection model in the fan device can first extract data features from the pressure data to obtain pressure features, and classify the pressure features, and the classification result can be used as the clogging state corresponding to the fan device. The clogging detection model can be trained by historical pressure data. The fan device can obtain a historical pressure data set, which can include multiple historical pressure data and the target clogging state corresponding to each historical pressure data. Input the historical pressure data set into the clogging detection model to be trained. The clogging detection model to be trained obtains the predicted clogging state corresponding to each historical pressure data according to each historical pressure data, and adjusts the clogging detection model to be trained according to the error between the target clogging state corresponding to each historical pressure data and the predicted clogging state corresponding to each historical pressure data until the error is less than a preset error threshold, so as to obtain the trained clogging detection model.

[0061] The fan device can detect the clogging condition of the fan device through the clogging detection model, which further improves the accuracy of detecting the clogging of the fan device.

[0062] In an embodiment of the present application, the fan device acquires the pressure data collected by the pressure sensor; if the pressure data is greater than a preset pressure threshold and maintains for a preset first time length, it is determined that the fan device is in a blocked state. The fan device can acquire the pressure data collected by the pressure sensor. When the pressure data is greater than the preset pressure threshold and maintains for the preset first time length, it is determined that the fan device is in a blocked state. It can directly detect the blocked state of the fan device according to the pressure data corresponding to the fan device, without relying on manual judgment of the blocked state. And when the pressure data is greater than the preset pressure threshold and maintains for the first time length, it is determined that the fan is in a blocked state, avoiding misjudgment of the blocked state due to errors in the pressure data acquisition within a short period of time, and improving the blocked detection efficiency and accuracy.

[0063] Figure 6 is a flowchart of another blocked detection method disclosed in an embodiment of the present application. As Figure 6 shown, the blocked detection method may include the following steps:

[0064] Step S602, acquire the temperature data collected by the temperature sensor.

[0065] In one embodiment, the fan device may also be provided with a temperature sensor. Specifically, the temperature sensor may be disposed at a place where the temperature of the air flow passing through the fan device can be detected. For example, the temperature sensor may be disposed on the inner wall of the fan device.

[0066] As an optional implementation manner, the temperature sensor of the fan device acquires the temperature data in the fan device at the same frequency as the pressure sensor acquires the pressure data, so as to ensure that the fan device can process the temperature data and the pressure data simultaneously.

[0067] Step S604, if the temperature data is greater than a preset temperature threshold and maintains for a preset second time length, it is determined that the fan device is in a blocked state.

[0068] In some embodiments, after the fan device acquires the temperature data, it can judge the temperature data. If the temperature data is greater than a preset temperature threshold and maintains for a preset second time length, it is determined that the fan device is in a blocked state. Among them, the temperature threshold may also be obtained by analyzing historical temperature data. The preset second time length can be determined according to the sensitivity required by the user for detecting blockage. The lower the required sensitivity for detecting blockage, the longer the second time length can be set; the higher the required sensitivity for detecting blockage, the shorter the second time length can be set. For example, the second time length can be set to 10 minutes.

[0069] In another embodiment, the fan device can obtain the temperature data collected by the temperature sensor; if the pressure data is greater than a preset pressure threshold within a first time period, and the temperature data is greater than a preset temperature threshold within a second time period, it is determined that the fan device is in a blocked state. The fan device can determine that the fan device is in a blocked state only when the pressure data is greater than the preset pressure threshold within the first time period and the temperature data is greater than the preset temperature threshold within the second time period, thereby further improving the accuracy of the blocked detection of the fan device. Optionally, the fan device can also input the temperature data and the pressure data into a blocked detection model. The blocked detection model can extract features from the temperature data and the pressure data to obtain the total data features, and classify the total data features. The obtained classification result can be used as the blocked state corresponding to the fan device. Among them, the blocked detection model can be trained by a historical temperature data set and a historical pressure data set. The fan device performs blocked detection according to the temperature data and the pressure data through the blocked detection model, which can improve the accuracy and efficiency of the blocked detection of the fan device.

[0070] As an optional implementation manner, the fan device can obtain the operation state signal corresponding to the fan device; if the operation state signal indicates that the fan device is in an on state, the pressure data collected by the pressure sensor is obtained. Among them, the operation state signal can be used to indicate the operation condition of the fan device. Specifically, the operation state signal corresponding to the fan device can include an on state and an off state. Among them, the on state can be used to indicate that the fan device is currently in a startup operation condition, and the off state can be used to indicate that the fan device is currently in a stop operation condition. The operation state signal corresponding to the fan device can be generated according to a user instruction input by the user. For example, the user can input a user instruction to control the fan device to turn on through voice input or manual control input, so that the fan device controls the fan device to be in an on state according to the user instruction. The fan device obtains the pressure data collected by the pressure sensor when the operation state signal indicates that the fan device is in an on state, which can avoid obtaining pressure data when there is no need to detect blockage, thereby reducing the energy consumption of the fan device.

[0071] Optionally, the fan device can also obtain the temperature data collected by the temperature sensor if the operation state signal indicates that the fan device is in an on state, which can avoid obtaining invalid temperature data, thereby further reducing the energy consumption of the fan device.

[0072] In the embodiment of the present application, the fan device obtains the temperature data collected by the temperature sensor. If the temperature data is greater than a preset temperature threshold and maintains a preset second time period, it is determined that the fan device is in a blocked state, avoiding errors in the pressure data collection within a short time, thereby causing misjudgment of the blocked state, and improving the blocked detection efficiency and accuracy.

[0073] Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of a dirt blockage detection device disclosed in an embodiment of the present application. This device can be applied to a fan device. As Figure 7 shown, the dirt blockage detection device 700 may include: a pressure acquisition module 701 and a pressure determination module 702.

[0074] The pressure acquisition module 701 is configured to acquire pressure data collected by a pressure sensor;

[0075] The pressure determination module 702 is configured to determine that the fan device is in a dirt blockage state if the pressure data is greater than a preset pressure threshold and has been maintained for a preset first time length.

[0076] Please refer to Figure 8 , Figure 8 which is a schematic structural diagram of another dirt blockage detection device disclosed in an embodiment of the present application. This device can be applied to a fan device. As Figure 8 shown, the dirt blockage detection device 800 may include: a temperature acquisition module 801 and a temperature determination module 802.

[0077] The temperature acquisition module 801 is configured to acquire temperature data collected by a temperature sensor;

[0078] The temperature determination module 802 is configured to determine that the fan device is in a dirt blockage state if the temperature data is greater than a preset temperature threshold and has been maintained for a preset second time length.

[0079] Please refer to Figure 9 , Figure 9 which is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. As Figure 9 shown, the electronic device 900 may include:

[0080] A memory 901 storing executable program code;

[0081] A processor 902 coupled to the memory 901;

[0082] Wherein, the processor 902 calls the executable program code stored in the memory 901 and executes any one of the dirt blockage detection methods disclosed in the embodiments of the present application.

[0083] The embodiments of the present application disclose a computer-readable storage medium storing a computer program, wherein when the computer program is executed by the processor, the processor implements any one of the dirt blockage detection methods disclosed in the embodiments of the present application.

[0084] An embodiment of the present application discloses a computer program product, including a computer program, and when the computer program is executed by a processor, it can implement the methods described in the above embodiments.

[0085] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, the "in one embodiment" or "in an embodiment" that appears throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. Those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0086] In various embodiments of the present application, it should be understood that the magnitudes of the sequence numbers of the above processes do not necessarily mean the inevitable sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0087] The units described as separate components above may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0088] In addition, in each embodiment of the present application, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0089] If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several requests for causing a computer device (which can be a personal computer, a server or a network device, etc., specifically, the processor in the computer device) to execute some or all of the steps of the above methods in the various embodiments of the present application.

[0090] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The storage medium includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disc memories, tape memories, or any other medium that can be used to carry or store data and is computer-readable.

[0091] The above has introduced in detail a method, device, electronic device, and storage medium for detecting dirt blockage disclosed in the embodiments of the present application. Specific examples are used herein to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application. At the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation on the present application.

Claims

1. A dirt and blockage detection method, characterized in that: Applied to a fan device, the fan device is provided with a pressure sensor, the method comprising: Acquiring pressure data collected by the pressure sensor; If the pressure data is greater than a preset pressure threshold and is maintained for a preset first time length, it is determined that the fan device is in a dirty or blocked state.

2. The dirty blockage detection method according to claim 1, characterized in that: The fan device is provided with a temperature sensor, and the method further comprises: Acquiring temperature data collected by the temperature sensor; If the pressure data is greater than a preset pressure threshold within the first time length, and the temperature data is greater than a preset temperature threshold within the second time length, it is determined that the fan device is in a dirty or blocked state.

3. The dirt and blockage detection method according to any one of claims 1 to 2, characterized in that: Before obtaining the pressure data collected by the pressure sensor, the method further includes: Obtaining an operating status signal corresponding to the fan device; The obtaining of the pressure data collected by the pressure sensor includes: If the operating status signal indicates that the fan device is in an on state, the pressure data collected by the pressure sensor is acquired.

4. The dirty blockage detection method according to claim 1, characterized in that: Before obtaining the pressure data collected by the pressure sensor, the method further includes: Acquire multiple historical pressure data sets; the historical pressure data sets are historical pressure data collected within a preset third time length; A target historical pressure data set is selected according to the data stability values ​​corresponding to each of the historical pressure data sets, and an average value of the historical pressure data in the target historical pressure data set is used as the pressure threshold.

5. The dirty blockage detection method according to claim 4, characterized in that: The step of selecting a target historical pressure data set according to the data stability values ​​corresponding to each of the historical pressure data sets includes: Calculating the difference between each historical pressure data in the historical pressure data set, and calculating the average value of the difference between each historical pressure data as the data stability value corresponding to each historical pressure data; The historical pressure data set with the smallest data stability value corresponding to each of the historical pressure data is selected as the target historical pressure data set.

6. The dirty blockage detection method according to claim 1, characterized in that: The fan device stores historical pressure data collected by the pressure sensor, and the method further includes: The dirty blockage detection model obtained by training the pressure data with the historical pressure data is used to detect the dirty blockage condition of the fan device to obtain the dirty blockage state corresponding to the fan device.

7. A dirt and blockage detection method, characterized in that: Applied to a fan device, the fan device is provided with a temperature sensor, the method comprising: Acquiring temperature data collected by the temperature sensor; If the temperature data is greater than a preset temperature threshold and is maintained for a preset second time length, it is determined that the fan device is in a dirty or blocked state.

8. A dirt and blockage detection device, characterized in that: Applicable to a fan device, the fan device is provided with a pressure sensor, and the device comprises: A pressure acquisition module, used to acquire pressure data collected by the pressure sensor; The pressure determination module is used to determine that the fan device is in a dirty or blocked state if the pressure data is greater than a preset pressure threshold and is maintained for a preset first time length.

9. A dirt and blockage detection device, characterized in that: Applicable to a fan device, the fan device is provided with a temperature sensor, and the device comprises: A temperature acquisition module, used to acquire temperature data collected by the temperature sensor; The temperature determination module is used to determine that the fan device is in a dirty or blocked state if the temperature data is greater than a preset temperature threshold and is maintained for a preset second time length.

10. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory is used to store at least one program, and the processor is used to load the at least one program to execute the dirt blockage detection method according to any one of claims 1 to 6 or 7.

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