Dust extraction hood cleaning method and apparatus, laser treatment system, computing device, and medium

Abstract

A dust extraction hood cleaning method and apparatus, a laser treatment system, a computing device, and a medium, relating to the technical field of battery(1) production. The dust extraction hood cleaning method (100) comprises: (110) acquiring a detection image comprising an area to be detected of a dust extraction hood; (120) acquiring dust accumulation information of said area on the basis of the detection image, wherein the dust accumulation information is used for representing the dust condition of said area; and (130) on the basis of the dust accumulation information, determining whether to perform a cleaning operation on said area. The method can alleviate the problem of reduced equipment productivity caused by frequent cleaning of dust extraction hoods.

Description

Dust hood cleaning method, device, laser processing system, computing device, and medium

[0001] Cross-reference to related applications

[0002] The present disclosure incorporates by reference in its entirety the Chinese Patent Application No. 202410444057.4 entitled "Dust hood cleaning method, device, laser processing system, computing device, and medium" filed on April 12, 2024. TECHNICAL FIELD

[0003] The present application relates to the technical field of battery production, and in particular to a dust hood cleaning method, device, laser processing system, computing device, and medium. BACKGROUND

[0004] Energy saving and emission reduction is the key to the sustainable development of the automobile industry. Electric vehicles have become an important part of the sustainable development of the automobile industry due to their energy-saving and environmentally friendly advantages. For electric vehicles, battery technology is an important factor for their development.

[0005] In the process of manufacturing batteries, a dust hood is needed to remove dust adsorbed on the battery to avoid the impact of dust on the quality of the battery. After the dust hood is used for a period of time, there is a phenomenon of dust residue. In order to ensure the efficient removal of dust by the dust hood, the dust in the dust hood needs to be cleaned frequently by manual operation. However, the equipment needs to be shut down when cleaning the dust hood, so frequent cleaning of the dust hood will affect the production capacity of the equipment.

[0006] SUMMARY

[0007] The present application aims to solve at least one of the technical problems existing in the background art. To this end, one object of the present application is to provide a dust hood cleaning method to improve the problem of the impact of cleaning the dust hood on the production capacity of the equipment.

[0008] An embodiment of the first aspect of the present application provides a dust hood cleaning method, the dust hood having a to-be-detected area, the cleaning method comprising: acquiring a detection image including the to-be-detected area of the dust hood; acquiring dust accumulation information of the to-be-detected area based on the detection image, the dust accumulation information being used to represent the dust condition of the to-be-detected area; and determining whether to perform a cleaning operation on the to-be-detected area based on the dust accumulation information.

[0009] In the technical solution of the embodiment of the present application, it is determined whether to perform a cleaning operation on the to-be-detected area of the dust hood based on the detection image of the to-be-detected area. That is, the dust accumulation condition of the dust hood is determined through the detection image, and the dust hood is cleaned only when it is determined that the dust needs to be removed. Thus, the dust hood can be cleaned frequently by manual operation, thereby improving the problem that the production capacity of the equipment is affected due to cleaning the dust hood, and the dust removal efficiency for the to-be-cleaned object can be improved.

[0010] In some embodiments, the dust information includes a dusting index, and the obtaining of the dust information of the to-be-detected region based on the detection image includes: obtaining a dusting index corresponding to the to-be-detected region based on the detection image, the dusting index being used to represent an area proportion of a dusted area in the to-be-detected region; and the determining of whether to perform the cleaning operation on the to-be-detected region based on the dust information includes: determining whether to perform dust removal on the dusted area based on the dusting index. The dusting condition of the to-be-detected region is quantified by the area proportion of the dusted area in the to-be-detected region, and the accuracy of the result of the determination of whether to perform the cleaning operation on the to-be-detected region is improved.

[0011] In some embodiments, the obtaining of the dusting index corresponding to the to-be-detected region based on the detection image includes: obtaining a dusting area of the dusted area based on the detection image; and obtaining the dusting index based on the dusting area and an area of the to-be-detected region. The dusting index is obtained based on the actual dusting area, and the reliability of the dusting index in representing the dusting condition is improved.

[0012] In some embodiments, the method for obtaining the dusting area based on the detection image includes: obtaining a standard contour of the to-be-detected region when the to-be-detected region is not dusted based on the detection image; obtaining a non-dusted contour of the to-be-detected region after the to-be-detected region is dusted based on the detection image; and obtaining the dusting area based on the standard contour and the non-dusted contour. The dusting area is obtained by extracting the contour of the to-be-detected region, and the accuracy of the obtained dusting area is improved.

[0013] In some embodiments, N detection images obtained by the camera for shooting the to-be-detected region at intervals of a period of time are obtained, N is an integer greater than 1, and the determination of whether to perform dust removal on the dusted area based on the dusting index includes: obtaining n dusting indexes corresponding to n detection images continuously shot in the N detection images, n is an integer greater than or equal to 1 and less than or equal to N; and if the n dusting indexes are all greater than a preset dusting index threshold, it is determined that dust removal is needed for the dusted area. The preset dusting index threshold is set as the determination standard of whether to perform the cleaning operation on the to-be-detected region, which can simplify the determination method and improve the accuracy of the determination result.

[0014] In some embodiments, the method further includes: detecting a dusting rate of the to-be-detected region based on the dusting index; and issuing a warning information if a detection result of the dusting rate detection meets a preset condition. The dusting rate in the dust removal cover can be monitored, and the monitoring result can be fed back in time to facilitate timely maintenance by the staff.

[0015] In some embodiments, in the case of obtaining N detection images obtained by the camera for shooting the to-be-detected region at intervals of a period of time, the dusting rate includes a first dusting rate, and the detection of the dusting rate of the to-be-detected region based on the dusting index includes: obtaining an interval time t m, where the first shot corresponds to the situation where there is no dust accumulation in the detection area, m is an integer greater than 1 and less than or equal to N, and the first dust accumulation rate is based on the dust accumulation index corresponding to the detection image shot at the mth time and the time interval t m To characterize; wherein the preset conditions include: the dust accumulation index corresponding to the detection image taken for the mth time is greater than the preset dust accumulation index threshold and t m Less than the preset time threshold. If the interval time t m If the time is less than the preset time threshold, it indicates that the first dust accumulation rate in the dust hood is faster than normal, and maintenance can be performed in time in response to this situation.

[0016] In some embodiments, when acquiring N detection images obtained by capturing the area to be detected by a camera at intervals, the dust accumulation rate includes a second dust accumulation rate. Based on the dust accumulation index, detecting the dust accumulation rate of the area to be detected includes: acquiring the dust accumulation index K corresponding to the detection image obtained by the pth capture in the N captures. p ; Get the dust accumulation index K corresponding to the detection image obtained by the qth shot in N shots q , 1≤p <q≤N,p和q均为整数;以及获取积灰指数K q Compared with the dust accumulation index K p The second dust accumulation rate is calculated based on the growth rate of the dust accumulation index. If the growth rate meets the preset conditions, an early warning message is issued. The growth rate of the dust accumulation index can be used to determine the magnitude of the second dust accumulation rate, quantifying the dust accumulation rate in the dust hood. This allows staff to observe the growth rate and implement corresponding measures based on the value of the growth rate.

[0017] In some embodiments, the preset conditions include: an increase greater than a first set value; and / or an increase less than 0, and an absolute value of the increase greater than a second set value. An increase greater than the first set value indicates that the dust hood is accumulating dust too quickly, and an increase less than 0, and an absolute value of the increase greater than the second set value indicates that the dust hood is shedding dust too quickly. Corresponding measures are implemented based on the changes in the different increase rates.

[0018] In some embodiments, the method further includes: in response to an instruction to perform a cleaning operation on the area to be inspected, obtaining positioning information indicating the position of the area to be removed within the area to be inspected; and locating the area to be removed based on the positioning information to perform the cleaning operation on the area to be removed. In this way, the dust cover can be automatically cleaned without the need for manual observation of the position of the area to be removed.

[0019] In some embodiments, the acquiring the positioning information comprises: identifying a dust deposition area in the to-be-detected area based on the detection image to acquire positioning information of the dust deposition area, the positioning information comprising coordinate information of the dust deposition area. The coordinate information can accurately locate the dust deposition area, and thus can accurately perform the cleaning operation on the dust deposition area, and effectively clean the dust cover.

[0020] In some embodiments, the apparatus further comprises: a third acquiring module configured to, in response to an instruction of the judging module indicating that the cleaning operation is to be performed on the to-be-detected area, acquire positioning information representing a position of a to-be-cleaned area in the to-be-detected area; and a positioning module configured to locate the to-be-cleaned area based on the positioning information to perform the cleaning operation on the to-be-cleaned area. In this way, manual observation of the position of the to-be-cleaned area is not required, and automatic cleaning of the dust cover can be achieved.

[0021] In some embodiments, the apparatus further comprises: a third acquiring module configured to, in response to an instruction of the judging module indicating that the cleaning operation is to be performed on the to-be-detected area, acquire positioning information representing a position of a to-be-cleaned area in the to-be-detected area; and a positioning module configured to locate the to-be-cleaned area based on the positioning information to perform the cleaning operation on the to-be-cleaned area. In this way, manual observation of the position of the to-be-cleaned area is not required, and automatic cleaning of the dust cover can be achieved.

[0022] In some embodiments, the apparatus further comprises: a third acquiring module configured to, in response to an instruction of the judging module indicating that the cleaning operation is to be performed on the to-be-detected area, acquire positioning information representing a position of a to-be-cleaned area in the to-be-detected area; and a positioning module configured to locate the to-be-cleaned area based on the positioning information to perform the cleaning operation on the to-be-cleaned area. In this way, manual observation of the position of the to-be-cleaned area is not required, and automatic cleaning of the dust cover can be achieved.

[0023] The embodiment of the fourth aspect of the present application provides a laser processing system, which comprises: a laser processing device configured to perform laser processing on a battery; a dust removal cover configured to cover a position of the battery at which laser processing is performed, the dust removal cover having a hollow cavity with two open ends, one open end of the hollow cavity being a laser incidence port, and the other open end being configured to expose the position of the battery at which laser processing is performed; and a computing device according to the above embodiment, configured to control a cleaning operation performed on the dust removal cover during laser processing, the to-be-detected area of the dust removal cover comprising an area in which the open end of the hollow cavity exposing the battery is located. The determination of whether the to-be-detected area needs to be cleaned based on a detection image of the to-be-detected area of the dust removal cover can avoid frequent manual cleaning of the dust removal cover, thereby avoiding the problem of frequent shutdown of the laser processing device due to excessively high frequency of cleaning the dust removal cover, ensuring the laser processing efficiency of the laser processing device on the battery, and further ensuring a high production capacity of the battery.

[0024] In some embodiments, the laser processing device is configured to perform laser cleaning on the liquid injection port of the battery. Since the frequency of shutdown of the laser processing device is low due to the avoidance of frequent manual cleaning of the dust removal cover, the efficiency of laser cleaning on the liquid injection port of the battery is high.

[0025] In some embodiments, the laser processing system further comprises a camera configured to acquire a detection image of the to-be-detected area. The camera can acquire a clear detection image, thereby ensuring high reliability of the acquisition of dust accumulation information of the to-be-detected area based on the detection image.

[0026] In some embodiments, the laser processing system further comprises: a positioning component configured to acquire positioning information for characterizing a position of a to-be-cleaned area in the to-be-detected area in response to an instruction indicating that the cleaning operation is performed on the to-be-detected area; a cleaning assembly configured to perform the cleaning operation on the to-be-cleaned area; and a driving component configured to drive the cleaning assembly to move to the to-be-cleaned area based on the positioning information. In this way, manual observation of the position of the to-be-cleaned area and manual cleaning are not required, and automatic cleaning of the dust removal cover is achieved.

[0027] In some embodiments, the driving component is configured to drive the cleaning assembly to move to the to-be-cleaned area in at least one of an X-axis direction, a Y-axis direction and a Z-axis direction based on the positioning information, and the driving component comprises: a first driving sub-component configured to drive the cleaning assembly to move in the X-axis direction; a second driving sub-component configured to drive the cleaning assembly to move in the Y-axis direction; and a third driving sub-component configured to drive the cleaning assembly to move in the Z-axis direction. The movement of the cleaning assembly in different directions can accurately move the cleaning assembly to the to-be-cleaned area indicated by the positioning information, and effectively clean the dust removal cover.

[0028] The embodiment of the fifth aspect of the present application provides a computer readable storage medium storing instructions, which, when executed by one or more processors of a computing device alone or in combination, cause the computing device to perform the method in the above embodiment.

[0029] The embodiment of the sixth aspect of the present application provides a computer program product comprising instructions, which, when executed by one or more processors of a computing device alone or in combination, cause the computing device to perform the method in the above embodiment.

[0030] The above description is only a summary of the technical solutions of the present application. In order to enable one skilled in the art to better understand the technical means of the present application, and to implement the same according to the content of the description, and in order to make the above and other purposes, characteristics and advantages of the present application more apparent and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0031] In the drawings, like reference numerals refer to same or similar components throughout the several views. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments in accordance with the present disclosure and should not be considered limiting of the scope of the present application.

[0032] FIG. 1 is an exploded structural schematic diagram of a battery according to some embodiments of the present application;

[0033] FIG. 2 is an exploded structural schematic diagram of a battery cell according to some embodiments of the present application;

[0034] FIG. 3 is a flowchart of a dust cover cleaning method according to some embodiments of the present application;

[0035] FIG. 4 is a flowchart of obtaining dust information of a to-be-detected region based on a detection image according to some embodiments of the present application;

[0036] FIG. 5 is a flowchart of determining whether to perform a cleaning operation on a to-be-detected region based on dust information according to some embodiments of the present application;

[0037] FIG. 6 is a flowchart of obtaining a dust accumulation index corresponding to a to-be-detected region based on a detection image according to some embodiments of the present application;

[0038] FIG. 7 is a flowchart of obtaining a dust accumulation area of a dust accumulation region based on a detection image according to some embodiments of the present application;

[0039] FIG. 8 is a structural schematic diagram corresponding to a step of obtaining a standard contour of a to-be-detected region when it is not dusted based on a detection image according to some embodiments of the present application;

[0040] FIG. 9 is a structural schematic diagram corresponding to a step of obtaining a non-dust accumulation contour of a to-be-detected region after dust accumulation based on a detection image according to some embodiments of the present application;

[0041] FIG. 10 is a flowchart of a method for determining whether to clean a dust deposition area based on a dust deposition index according to some embodiments of the present application;

[0042] FIG. 11 is a flowchart of a method for cleaning a dust removal cover according to some embodiments of the present application;

[0043] FIG. 12 is a flowchart of a method for detecting a dust deposition rate of a detection area based on a dust deposition index according to some embodiments of the present application;

[0044] FIG. 13 is a flowchart of a method for cleaning a dust removal cover according to some embodiments of the present application;

[0045] FIG. 14 is a block diagram of a dust removal cover cleaning device according to some embodiments of the present application;

[0046] FIG. 15 is a block diagram of a dust removal cover cleaning device according to some embodiments of the present application;

[0047] FIG. 16 is a block diagram of an exemplary computing device that can be used in an exemplary embodiment;

[0048] FIG. 17 is a cross-sectional view of a dust removal cover of a laser processing system according to some embodiments of the present application;

[0049] FIG. 18 is a perspective view of a laser processing system according to some embodiments of the present application;

[0050] FIG. 19 is a front view of a laser processing system according to some embodiments of the present application;

[0051] FIG. 20 is a side view of a laser processing system according to some embodiments of the present application;

[0052] FIG. 21 is a top view of a laser processing system according to some embodiments of the present application;

[0053] FIG. 22 is an enlarged view of a portion of a laser processing system according to some embodiments of the present application. DETAILED DESCRIPTION

[0054] Embodiments of the technical solutions of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore should not be used to limit the protection scope of the present application.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of this application; the use of the terms "including," "comprising," or "having" and variations thereof herein is intended to be broad and encompass the terms "consisting of" and "consisting essentially of" and variations thereof. Unless otherwise noted, the terms "including" and "comprising" are open-ended and do not exclude the presence of unrecited elements or limitations.

[0056] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly and specifically limited.

[0057] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification is not necessarily all referring to the same embodiment, nor is it necessarily referring to a separate or alternative embodiment to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0058] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A existing alone, A and B existing together, and B existing alone. In addition, the character " / " in this paper generally represents that the front and rear associated objects are a "or" relationship.

[0059] In the description of the embodiments of the present application, the term "a plurality of" refers to two or more (including two), and similarly, "a plurality of groups" refers to two or more groups (including two groups), and "a plurality of pieces" refers to two or more pieces (including two pieces).

[0060] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and therefore cannot be understood as limiting the embodiments of the present application, which do not indicate or imply that the indicated devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the embodiments of the present application.

[0061] In the description of the embodiments of the present application, unless otherwise explicitly specified and limited, the technical terms "mount", "connect", "connect", "fix", and other terms should be understood in a broad sense, for example, can be fixedly connected, or can be detachably connected, or integrated; can be mechanically connected, or can be electrically connected; can be directly connected, or indirectly connected through an intermediate medium, can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0062] The dust cover is used to remove dust on the object to be dusted. For example, the battery can be dusted.

[0063] In the process of manufacturing the battery, some processes will produce a lot of dust on the battery. For example, in the process of laser welding, laser cleaning, laser cutting and other processes of the battery, dust is inevitable. In order to avoid the influence of these dusts on the quality of the battery, a dust cover is used to remove the dust adsorbed on the battery.

[0064] In the related art, the dust cover has an opening for exposing the object to be dusted, and the airflow enters from the air inlet of the dust cover and flows through the opening to carry away the dust on the object to be dusted exposed at the opening. Then, the airflow carrying the dust flows out from the air outlet, completing the dust removal of the object to be dusted.

[0065] After the dust cover is used for a period of time, dust will remain inside the dust cover. These dusts accumulate in the dust cover, affecting the dust removal efficiency of the dust cover on the object to be dusted.

[0066] For example, the dust is carried away by the airflow from the opening for exposing the object to be dusted, resulting in a large amount of dust accumulating at the opening, making the opening gradually smaller, and thus causing the area of the object to be dusted exposed by the opening to be smaller, affecting the dust removal efficiency of the dust cover on the object to be dusted.

[0067] Therefore, in the related art, in order to avoid the accumulation of dust in the dust cover, the dust cover needs to be cleaned frequently.

[0068] However, when cleaning the dust cover, the dust cover needs to be stopped for use, so that the dust cover cannot remove dust from the object to be dusted. Moreover, when the dust cover is used to remove dust from the object to be dusted during laser processing, the laser processing system for laser processing also needs to be stopped, affecting the efficiency of the laser processing equipment for laser processing of the object to be dusted, and thus affecting the production capacity of the object to be dusted.

[0069] For example, when cleaning the dust generated by the battery during laser processing, a dust removal cover is usually used to clean the battery while laser processing. If the dust removal cover is cleaned frequently, it will not only cause the dust removal cover to be used too low, but also cause the laser processing equipment to be shut down frequently, causing the laser processing process of the battery to be slow, and thus affecting the production capacity of the battery.

[0070] Based on the above considerations, in order to solve the problem of low dust removal efficiency of the object to be cleaned due to the low frequency of use of the dust removal cover, the dust removal cover cleaning method disclosed in the embodiments of the present application is designed to determine whether the cleaning operation needs to be performed on the detection area based on the detection image of the detection area of the dust removal cover. That is, the dust accumulation condition of the dust removal cover is determined through the detection image. Only when it is determined that dust removal is needed, the dust removal cover is cleaned. This can avoid frequent manual cleaning of the dust removal cover, thereby avoiding the problem that the dust removal cover cannot be used temporarily due to cleaning, improving the use frequency of the dust removal cover, and thus improving the dust removal efficiency of the object to be cleaned.

[0071] The dust removal cover cleaning method disclosed in the embodiments of the present application can be used in the production of batteries, and the produced batteries can be used in electric devices such as vehicles, ships or aircraft. The power supply system of the electric device can be composed of batteries produced by using the dust removal cover cleaning method disclosed in the embodiments of the present application.

[0072] The electric device can be but is not limited to a mobile phone, a tablet, a notebook computer, an electric toy, an electric tool, an electric vehicle, an electric car, a ship, a spacecraft, etc. Among them, the electric toy can include fixed or mobile electric toys, such as game consoles, electric car toys, electric ship toys, and electric plane toys, etc. The spacecraft can include airplanes, rockets, space shuttles, and spacecraft, etc.

[0073] Please refer to FIG. 1, which is an exploded structural schematic diagram of a battery provided by some embodiments of the present application. The battery 1 can include a box body 10 and a battery monomer 20, and the battery monomer 20 is contained in the box body 10. The box body 10 can include a first part 11 and a second part 12, and the first part 11 and the second part 12 are covered with each other, and the first part 11 and the second part 12 jointly define a containing space for containing the battery monomer 20. In the battery 1, the battery monomer 20 can be multiple, and each battery monomer 20 can be a secondary battery or a primary battery; it can also be a lithium-sulfur battery, a sodium-ion battery or a magnesium-ion battery, but is not limited thereto.

[0074] Please refer to FIG. 2, which is an exploded structural schematic diagram of a battery monomer provided by some embodiments of the present application. The battery monomer 20 refers to the smallest unit that constitutes a battery. The battery monomer 20 includes an end cover 21, a shell 22, an electric core assembly 23, and other functional components.

[0075] The end cover 21 refers to a component that is covered on the opening of the shell 22 to isolate the internal environment of the battery monomer 20 from the external environment. The end cover 21 can be provided with functional components such as electrode terminals 21a. The electrode terminals 21a can be used to electrically connect with the battery cell assembly 23 for outputting or inputting the electric energy of the battery monomer 20.

[0076] In some embodiments, the end cover is further provided with a liquid injection port 21b and an explosion-proof valve.

[0077] The liquid injection port 21b of the battery is used to inject battery electrolyte into the battery. The battery electrolyte is the carrier of ion transmission in the battery. The electrolyte plays a role in conducting ions between the positive and negative electrodes of the battery, and is the guarantee for the battery to obtain high voltage, high specific energy and other advantages. The liquid electrolyte is injected into the battery through the liquid injection port 21b. However, it is difficult to avoid that electrolyte will be left on the contact surface between the liquid injection nozzle and the liquid injection port of the battery during the liquid injection process.

[0078] The liquid injection port 21b of the battery can be subjected to laser cleaning to achieve cleaning of the battery liquid injection port 21b. Laser cleaning is a non-contact cleaning process that uses a high-energy laser beam to irradiate the surface to make the stains and attachments peel off and evaporate. Through laser cleaning, the liquid injection port can be better cleaned.

[0079] After the injection of the electrolyte is completed, the liquid injection port is sealed by a sealing pin to ensure the sealing of the internal environment of the battery monomer 20.

[0080] The shell 22 is a component used to cooperate with the end cover 21 to form the internal environment of the battery monomer 20, wherein the formed internal environment can be used to accommodate the battery cell assembly 23, the electrolyte and other components.

[0081] The battery cell assembly 23 is a component in which electrochemical reactions occur in the battery monomer 20. The shell 22 can contain one or more battery cell assemblies 23. The battery cell assembly 23 is mainly formed by winding or stacking the positive and negative electrode sheets, and a separator is usually arranged between the positive and negative electrode sheets. The positive and negative electrode sheets have a part of active material constituting the main body of the battery cell assembly, and the parts of the positive and negative electrode sheets without active material each constitute a tab 23a. The positive and negative tabs can be located at one end of the main body or at two ends of the main body, respectively. In the charging and discharging process of the battery, the positive and negative active materials react with the electrolyte, and the tabs 23a are connected to the electrode terminals to form a current loop.

[0082] Referring to FIG. 3, FIG. 3 is a flowchart of a dust cover cleaning method according to some embodiments of the present application.

[0083] The dust cover cleaning method 100 provided by the embodiments of the present application has a to-be-detected area, and the cleaning method comprises the following steps.

[0084] Step 110, obtaining a detection image of a to-be-detected region of the dust cover;

[0085] Step 120, obtaining dust accumulation information of the to-be-detected region based on the detection image, the dust accumulation information being used to represent a dust condition of the to-be-detected region;

[0086] Step 130, determining whether to perform a cleaning operation on the to-be-detected region based on the dust accumulation information.

[0087] The detection image can include only the to-be-detected region, or can include the to-be-detected region and a region around the to-be-detected region.

[0088] In some embodiments, the dust cover including the to-be-detected region can be photographed by a device with a camera function to obtain the detection image. The device with the camera function is, for example, a camera.

[0089] The to-be-detected region of the dust cover can be any region of the dust cover that needs to be dusted. For example, it can be a region of the dust cover where dust is prone to accumulate.

[0090] In some embodiments, the dust cover can have an opening for exposing an object to be dusted. Air flows into the dust cover from an air inlet and flows through the opening, carrying away dust on the object to be dusted exposed at the opening. Then, the air flow carrying dust flows out of the air outlet, completing the dusting of the dust cover. The opening is prone to accumulate dust, for example, the inner edge of the opening, causing the opening to gradually become smaller.

[0091] Therefore, the to-be-detected region can include a region where the opening for exposing the object to be dusted is located.

[0092] In other embodiments, the to-be-detected region can also be other regions of the dust cover that are prone to accumulate dust.

[0093] The to-be-detected region can include a dust accumulation region and a non-dust accumulation region. The dust accumulation region refers to a region in the to-be-detected region that has dust. The non-dust accumulation region refers to a region in the to-be-detected region that has no dust.

[0094] In some embodiments, the dust accumulation information can be used to represent the dust condition of the dust accumulation region, for example, it can be the size of the dust accumulation region, or the area ratio of the dust accumulation region in the to-be-detected region. The larger the size of the dust accumulation region, or the larger the area ratio of the dust accumulation region in the to-be-detected region, the more dust accumulation in the to-be-detected region. Therefore, it can be used to determine whether the dust in the dust accumulation region meets the condition for performing a cleaning operation.

[0095] In some embodiments, the dust accumulation information can also be used to characterize the situation of the non-dust accumulation region. For example, the dust accumulation information can be used to characterize the area of the non-dust accumulation region, or the proportion of the area of the non-dust accumulation region in the to-be-detected region. By detecting the situation of the non-dust accumulation region, the dust condition of the dust accumulation region can be reversely deduced, and it can be determined whether the dust condition of the dust accumulation region meets the condition for performing the cleaning operation.

[0096] The dust accumulation information is used to determine whether the cleaning operation needs to be performed on the to-be-detected region based on the detection image of the to-be-detected region of the dust removal cover. That is, the dust accumulation condition of the dust removal cover is determined based on the detection image, and the dust removal cover is cleaned only when it is determined that the dust removal cover needs to be cleaned. This can avoid frequent manual cleaning of the dust removal cover, and thus can avoid the problem that the dust removal cover cannot be used temporarily due to cleaning, improve the use frequency of the dust removal cover, and thus improve the dust removal efficiency of the to-be-cleaned object.

[0097] Referring to FIG. 4 and FIG. 5, FIG. 4 is a flowchart of obtaining dust accumulation information of a to-be-detected region based on a detection image according to some embodiments of the present application, and FIG. 5 is a flowchart of determining whether a cleaning operation needs to be performed on the to-be-detected region based on the dust accumulation information according to some embodiments of the present application.

[0098] Referring to FIG. 4, according to some embodiments of the present application, the dust accumulation information can include a dust accumulation index, and step 120 can include:

[0099] In step 210, a dust accumulation index corresponding to the to-be-detected region is obtained based on the detection image, and the dust accumulation index is used to characterize the proportion of the area of the dust accumulation region in the to-be-detected region.

[0100] Referring to FIG. 5, step 130 can include:

[0101] In step 310, it is determined whether dust removal needs to be performed on the dust accumulation region based on the dust accumulation index.

[0102] That is, the dust accumulation index can be used to characterize the dust condition of the dust accumulation region relative to the entire to-be-detected region. That is, the proportion of the area of the region with dust in the to-be-detected region in the entire to-be-detected region. The larger the dust accumulation index, the larger the area of the dust accumulation region in the to-be-detected region.

[0103] It can be understood that the area of the to-be-detected region will change with different dust removal needs. For example, when the dust on the to-be-cleaned object is relatively more, the dust remaining in the dust removal cover is relatively more, and the area of the dust distribution is also larger. At this time, the area of the to-be-detected region will change accordingly. For another example, when the dust removal cover has an opening for exposing the to-be-cleaned object, the to-be-detected region can include the region where the opening is located. For different sizes of to-be-cleaned objects, the size of the opening is different, and the area of the to-be-detected region will also change accordingly.

[0104] The larger the area of the to-be-detected region is, the larger the area of the dust accumulation region that can be tolerated is. The dust accumulation region that can be tolerated refers to the area of the dust accumulation region that has not reached the determination condition that requires a cleaning operation to be performed.

[0105] Based on this, in the embodiments of the present application, the dust condition of the to-be-detected region is represented by the dust accumulation index, so that the area of the dust accumulation region that can be tolerated changes with the area of the to-be-detected region, and the accuracy of performing a cleaning operation on the to-be-detected region can be improved.

[0106] It can be seen that the dust condition of the to-be-detected region is quantified by the area ratio of the dust accumulation region in the to-be-detected region, and the accuracy of determining whether to perform a cleaning operation on the to-be-detected region is improved.

[0107] In other embodiments, the dust accumulation information can also include the dust accumulation area, i.e., the area of the dust accumulation region. For the case where the area of the to-be-detected region is constant, the dust accumulation area is used to determine whether the dust accumulation region needs to be cleaned, which can simplify the determination condition.

[0108] Referring to FIG. 6, FIG. 6 is a flowchart of obtaining the dust accumulation index corresponding to the to-be-detected region based on the detection image according to some embodiments of the present application.

[0109] According to some embodiments of the present application, step 210 can include:

[0110] Step 410, obtaining the dust accumulation area of the dust accumulation region based on the detection image;

[0111] Step 420, obtaining the dust accumulation index based on the dust accumulation area and the area of the to-be-detected region.

[0112] The dust accumulation region is a region in the to-be-detected region that has dust, and the dust accumulation area is the area of the region in the to-be-detected region that has dust.

[0113] In some embodiments, the to-be-detected region can be identified based on the detection image, and the area of the identified to-be-detected region can be calculated to obtain the area of the to-be-detected region.

[0114] In some embodiments, the dust accumulation region can be directly identified based on the detection image, and the area of the identified dust accumulation region can be calculated to obtain the dust accumulation area.

[0115] In other embodiments, the non-dust accumulation area of the non-dust accumulation region in the to-be-detected region can also be identified based on the detection image, and the area of the to-be-detected region minus the non-dust accumulation area is the dust accumulation area.

[0116] In some embodiments, the dusted area or the non-dusted area can be identified by any device or computer program known to those skilled in the art capable of identifying the specified area in the detection image. The dusted area or the non-dusted area can also be obtained by any device or computer program known to those skilled in the art capable of calculating the area of the region.

[0117] In some embodiments, step 420 can include calculating the ratio of the dusted area and the area of the region to be detected to obtain the dusting index.

[0118] In some embodiments, the dusting index can be expressed in percentage. In other embodiments, the dusting index can also be expressed in decimal.

[0119] For example, in some embodiments, the dusting index is expressed in percentage, the dusted area and the area of the region to be detected can be substituted into the following first formula (1):

[0120] Wherein K is the dusting index, A1 is the dusted area, and A2 is the area of the region to be detected.

[0121] In some embodiments, the dusting index is expressed in decimal, only the item of multiplying 100% in the above first formula needs to be removed.

[0122] In the above steps, the dusting index is obtained based on the actual dusted area, which not only makes the method of obtaining the dusting index simple, but also improves the reliability of the dusting index in representing the dust condition.

[0123] Referring to FIGS. 7-9, FIG. 7 is a flow diagram of obtaining the dusted area of the dusted area based on the detection image according to some embodiments of the present application, FIG. 8 is a structural diagram corresponding to the step of obtaining the standard contour of the region to be detected when it is not dusted based on the detection image according to some embodiments of the present application, and FIG. 9 is a structural diagram corresponding to the step of obtaining the non-dusted contour of the region to be detected after it is dusted based on the detection image according to some embodiments of the present application.

[0124] According to some embodiments of the present application, step 410 can include:

[0125] Step 510, obtaining the standard contour 30 of the region to be detected when it is not dusted based on the detection image;

[0126] Step 520, obtaining the non-dusted contour 31 of the region to be detected after it is dusted based on the detection image;

[0127] Step 530, obtaining the dusted area based on the standard contour and the non-dusted contour.

[0128] The period when the dust does not exist in the detection area is referred to as the period when the detection area is not dusty.

[0129] The period when the dust exists in the detection area is referred to as the period when the detection area is dusty. During the period, the detection area has a dusty area and a non-dusty area. The non-dusty contour is the contour of the non-dusty area.

[0130] In some embodiments, the color and brightness of the dust are different from the color and brightness of the detection area itself. These differences result in a visual boundary between the dusty area and the non-dusty area. The non-dusty area contour can be obtained by identifying the boundary. As shown in the left image of FIG. 9, the left image of FIG. 9 is a detection image of the detection area after the dust exists in the detection area, and the non-dusty area is the white area in the left image of FIG. 9.

[0131] During the period when the detection area is not dusty, it can be considered that all areas of the detection area are non-dusty areas. That is, the color and brightness of the entire detection area are relatively uniform, and there is no obvious boundary, so that the standard contour obtained by identification is the contour of the detection area, thereby ensuring the accuracy of the standard contour used to represent the contour of the detection area. As shown in the left image of FIG. 8, the left image of FIG. 8 is a detection image of the detection area when the detection area is not dusty, and the detection area is the white area in the left image of FIG. 8.

[0132] It can be understood that the color and brightness of the area around the detection area in the detection image are also different from the color and brightness of the detection area, so that the detection area is distinguished from the surrounding area, and thus the standard contour of the detection area can be identified.

[0133] In some embodiments, step 530 can include: first, obtaining the area of the detection area based on the standard contour 30, and then obtaining the non-dusty area based on the non-dusty contour 31. Finally, the non-dusty area is subtracted from the area of the detection area, and the dusty area is obtained.

[0134] In other embodiments, step 410 can also include: obtaining the dusty contour of the detection area after the dust exists in the detection area, and obtaining the dusty area based on the dusty contour.

[0135] In some embodiments, the method for obtaining the dusty contour can include:

[0136] First, the standard contour 30 is obtained, as shown in FIG. 8.

[0137] Then, the non-dusty contour 31 of the non-dusty area of the detection area after the dust exists in the detection area is obtained, as shown in FIG. 9.

[0138] Finally, the standard profile 30 is compared with the non-dirty profile 31 to obtain the dirty profile.

[0139] Since the standard profile 30 corresponds to the to-be-detected region and the non-dirty profile 31 corresponds to the non-dirty region, the part of the standard profile 30 that coincides with the non-dirty profile 31 corresponds to the non-dirty region, and the part of the standard profile 30 that does not coincide with the non-dirty profile 31 is the profile of the dirty region, so as to obtain the dirty profile.

[0140] The standard profile 30 is obtained based on the profile of the non-dirty region when the to-be-detected region is not dirty. The non-dirty profile 31 is obtained based on the profile of the non-dirty region after the to-be-detected region is dirty. That is, the profile of the non-dirty region of the to-be-detected region at two different time periods, before and after being dirty, is identified, which is beneficial to the consistency of the identification method or program and simplifies the identification operation.

[0141] Referring to FIG. 10, FIG. 10 is a flowchart of determining whether the dirty region needs to be cleaned based on the dirty index according to some embodiments of the present application.

[0142] According to some embodiments of the present application, N detection images obtained by the camera shooting the to-be-detected region at intervals of a period of time are obtained, N is an integer greater than 1, and step 310 can include:

[0143] In step 430, n dirty indexes corresponding to n detection images shot continuously in the N detection images are obtained, n is an integer greater than or equal to 1 and less than or equal to N;

[0144] In step 440, if the n dirty indexes are all greater than a preset dirty index threshold, it is determined that the dirty region needs to be cleaned.

[0145] The dirty index corresponding to each of the N detection images is obtained, that is, N dirty indexes corresponding to N detection images are obtained.

[0146] During the camera shooting the cleaning cover to obtain the N detection images, the cleaning cover continuously cleans at least one to-be-cleaned object. The dust condition in the cleaning cover changes with the continuous cleaning of the to-be-cleaned object by the cleaning cover. Therefore, the N detection images can be different from each other, and thus the N dirty indexes obtained correspondingly are also different.

[0147] In some embodiments, the n detection images correspond to the detection images corresponding to the N-n+1th shooting to the Nth shooting in the N detection images, that is, the n dirty indexes corresponding to the last n times of shooting in the N times of shooting of the to-be-detected region. In this way, whether the to-be-detected region needs to be cleaned can be determined based on the latest dust condition of the to-be-detected region, and the cleaning cover can be cleaned in time.

[0148] In some embodiments, the n detection images can be one detection image. That is, only one dusting index is obtained, and if the one dusting index is greater than the preset dusting index threshold, it is determined to dust the dust accumulation area. In this way, the dusting of the to-be-detected area can be performed in a timely manner.

[0149] In some embodiments, the n detection images can be one detection image. That is, only one dusting index is obtained, and if the one dusting index is greater than the preset dusting index threshold, it is determined to dust the dust accumulation area. In this way, the dusting of the to-be-detected area can be performed in a timely manner.

[0150] In some embodiments, the n detection images can be one detection image. That is, only one dusting index is obtained, and if the one dusting index is greater than the preset dusting index threshold, it is determined to dust the dust accumulation area. In this way, the dusting of the to-be-detected area can be performed in a timely manner.

[0151] In some embodiments, n can be 2, 4, 5, 8 or even more. The specific number can be set according to different cleaning needs of the dust removal cover.

[0152] In some embodiments, the preset dusting index threshold can also be adjusted according to different dusting needs of the dust removal cover. When the dusting need of the dust removal cover is high, that is, the dust removal cover needs to maintain a high dust removal efficiency for the to-be-dusted object, the preset dusting index threshold can be set to be low, so that the dust accumulation area of the to-be-detected area can be maintained in a small state. When the dusting need of the dust removal cover is not high, the preset dusting index threshold can be set to be high, and the dusting frequency of the dust removal cover can be appropriately reduced.

[0153] Setting the preset dusting index threshold as the determination standard of whether to perform the cleaning operation on the to-be-detected area can simplify the determination method and improve the accuracy of the determination result.

[0154] Referring to FIG. 11, FIG. 11 is a flowchart of a dust removal cover cleaning method according to some embodiments of the present application.

[0155] According to some embodiments of the present application, the cleaning method 100 of the dust removal cover further includes:

[0156] Step 610: detecting a dust accumulation rate of the to-be-detected area based on the dusting index.

[0157] Step 620: if the detection result of the dust accumulation rate detection meets a preset condition, issuing a warning information.

[0158] The dust accumulation rate referred to in the embodiments of the present application is not limited to a specific rate value, and can also be used to represent the dust accumulation trend of the to-be-detected area in a period of time. For example, it can represent the speed of dust accumulation in the to-be-detected area in a period of time.

[0159] When the dust accumulation rate is too fast, it is possible that the dust removal hood has hidden problems. For example, it is possible that the dust carried by the airflow in the dust removal hood is too much to be discharged, and the reason may be that the flow rate of the airflow is too slow, which will cause the problem of low dust removal efficiency of the dust removal hood for the object to be dusted.

[0160] In some embodiments, in the case of obtaining N detection images obtained by the camera shooting the to-be-detected region every interval, the interval corresponding to each shooting compared with the first shooting is also obtained, and the dust accumulation index corresponding to the detection image obtained by each shooting is also obtained, and each dust accumulation index has a corresponding interval. Wherein, the first shooting corresponds to the case that the to-be-detected region has no dust accumulation.

[0161] A timing diagram can be prepared based on the N dust accumulation indexes and the interval corresponding to each of the N shootings compared with the first shooting. Wherein, the horizontal coordinate of the timing diagram is the interval corresponding to each of the N shootings compared with the first shooting, and the vertical coordinate is the N dust accumulation indexes corresponding to the N shootings.

[0162] Through the timing diagram, the change of the dust accumulation index with time can be observed intuitively, which can be used to obtain the dust accumulation rate of the to-be-detected region.

[0163] The warning information is used to indicate that the dust removal hood needs to be maintained. In some embodiments, the warning information can adopt any form capable of warning, such as a bell sound, words, etc.

[0164] Through steps 610 and 620, the dust accumulation rate in the dust removal hood can be monitored, and the monitoring result can be fed back in time, so as to facilitate the staff to maintain in time and ensure the normal use of the dust removal hood.

[0165] According to some embodiments of the present application, in the case of obtaining N detection images obtained by the camera shooting the to-be-detected region every interval, the dust accumulation rate includes a first dust accumulation rate, and step 610 can include:

[0166] obtaining the interval t of the mth shooting compared with the 1st shooting m , wherein the 1st shooting corresponds to the case that the to-be-detected region has no dust accumulation, m is an integer greater than 1 and less than or equal to N, and the first dust accumulation rate is characterized based on the dust accumulation index corresponding to the detection image of the mth shooting and the time interval t m ; wherein the preset condition includes that the dust accumulation index corresponding to the detection image of the mth shooting is greater than a preset dust accumulation index threshold and t m is less than a preset time threshold.

[0167] Since the 1st shooting corresponds to the case that the to-be-detected region has no dust accumulation, the dust accumulation index corresponding to the mth shooting can be used to characterize the dust accumulation in the interval tm The first dusting rate represents the trend of the growth of the dusted area of the to-be-detected region.

[0168] The interval time t corresponding to the mth shooting m When the preset time threshold is greater than or equal to the preset time threshold, it indicates that the time taken by the dusting index of the to-be-detected region to reach the preset dusting index threshold is greater than the preset time threshold, and it can be seen that the dusting rate of the to-be-detected region is within a normal range.

[0169] The interval time t corresponding to the mth shooting m When the preset time threshold is less than the preset time threshold, it indicates that the time taken by the dusting index of the to-be-detected region to reach the preset dusting index threshold is less than the preset time threshold, and it can be seen that the dusting rate of the to-be-detected region is too fast.

[0170] In some embodiments, the timing diagram corresponds to N dusting indexes obtained by N shootings, and an interval time corresponding to each of the N shootings compared to the first shooting. The first shooting can be the first shooting after the cleaning operation is performed on the dust cover.

[0171] The dust cover can be subjected to multiple cleaning operations, and multiple timing diagrams corresponding thereto can be obtained.

[0172] The preset time threshold can be obtained based on multiple historical timing diagrams. The historical timing diagram can be a timing diagram corresponding to a process of performing N shootings on the to-be-cleaned dust cover in the past to obtain N dusting indexes.

[0173] Exemplarily, the time interval corresponding to the time when the preset dusting index threshold is reached in each of the multiple historical timing diagrams can be obtained. The preset time threshold can be obtained by averaging the multiple time intervals corresponding to the multiple historical timing diagrams. In this way, the preset time threshold can represent the time required for the dusting index of the to-be-detected region to reach the preset dusting index threshold at a normal speed.

[0174] In some embodiments, the value of m can be N, that is, the dusting index corresponding to the Nth shooting is greater than the preset dusting index threshold, indicating that the cleaning operation needs to be performed on the dust cover, and at the same time, the interval time t N The comparison with the preset time threshold can timely detect the dusting rate of the to-be-detected region and make a corresponding judgment, which is beneficial to the maintenance of the dust cover.

[0175] In some other embodiments, the value of m can also be less than N, and when the corresponding dusting index of the mth photographing is greater than the preset dusting index threshold, the determination of performing the cleaning operation on the to-be-detected region is not immediately made, but a plurality of photographings are performed on the to-be-detected region again, and the corresponding detection images and dusting indexes are obtained, so that the determination result is more accurate. However, the time interval of the mth photographing compared with the first photographing can be obtained, and the speed of the dusting rate is determined in time.

[0176] As can be known from the above description, the interval time of the Nth photographing in the timing diagram compared with the first photographing can also be used to reflect the time interval between the current cleaning step and the last cleaning step.

[0177] Based on this, in some other embodiments, the cleaning time intervals between a plurality of continuous cleaning steps can also be obtained. If the continuous cleaning time intervals are less than a preset time length, it is considered that the cleaning is too frequent, and the dusting rate in the dust removal cover can be too fast, and a warning information can be sent.

[0178] In the above steps, if the interval time t m is less than a preset time threshold, it indicates that the first dusting rate in the dust removal cover is faster than normal, and maintenance can be performed in time in response to this situation.

[0179] Referring to FIG. 12, FIG. 12 is a flowchart of detecting the dusting rate of the to-be-detected region based on the dusting index according to some embodiments of the present application.

[0180] According to some embodiments of the present application, in the case of obtaining N detection images obtained by the camera photographing the to-be-detected region every interval time, the dusting rate includes a second dusting rate, and step 610 can include:

[0181] Step 710: obtaining a dusting index K p corresponding to the detection image obtained by the pth photographing in the N photographings;

[0182] Step 720: obtaining a dusting index K q corresponding to the detection image obtained by the qth photographing in the N photographings, 1≤p<q≤N, and p and q are integers;

[0183] Step 730: obtaining a growth amplitude of the dusting index K q compared with the dusting index K p , and taking the growth amplitude as the second dusting rate.

[0184] In this case, if the growth amplitude satisfies a preset condition, a warning information is sent.

[0185] That is, by obtaining the growth trend of the dust deposition index in the interval time between the qth photographing and the pth photographing in the N times of photographing, the change of the dust deposition area in the time interval can be determined, and the change trend of the dust deposition rate in the short time interval can be reflected. In other words, the second dust deposition rate is the change trend of the dust deposition rate.

[0186] The dust deposition index is used to represent the area ratio of the dust deposition area in the detection area. Since the area of the detection area is unchanged in the N times of photographing, by observing the growth trend of the dust deposition index, the growth trend of the dust deposition area can be determined, and the change trend of the dust deposition rate can be obtained.

[0187] In some embodiments, q can be p plus 1. That is, the change trend of the dust deposition rate in the time interval between the two consecutive photographings in the N times of photographing is obtained, and the change trend of the dust deposition rate in the short time interval can be reflected.

[0188] In some embodiments, q can not be p plus 1, but only needs to satisfy p

[0189] In some embodiments, q can be equal to N, that is, the change trend of the dust deposition rate in the interval time between the last photographing and the previous p times of photographing in the N times of photographing is obtained. In this way, the change trend of the current dust deposition rate can be reflected.

[0190] In some embodiments, q can also be less than N.

[0191] In some embodiments, step 730 can include:

[0192] The dust deposition index K q The dust deposition index K p The following second formula (2) is substituted:

[0193] Wherein, S represents the growth amplitude.

[0194] By the growth amplitude of the dust deposition index, the size of the second dust deposition rate can be determined, and the dust deposition rate of the dust removal cover can be quantified, so that the staff can observe the growth amplitude and take corresponding measures in time based on the value of the growth amplitude.

[0195] According to some embodiments of the present application, the preset condition includes: the growth amplitude is greater than a first set value; and / or, the growth amplitude is less than 0, and the absolute value of the growth amplitude is greater than a second set value.

[0196] Wherein, the first set value is greater than 0. When the growth amplitude is greater than the first set value, it indicates that the growth trend of the dust deposition rate is too fast, that is, the dust deposition rate of the dust removal cover is too fast, which may indicate that the dust removal cover has hidden dangers and needs to be maintained in time.

[0197] The growth rate less than 0 indicates that the dust deposition rate is negative, that is, the dust deposition area in the dust cover is decreasing, and there is a phenomenon of dust falling. If the absolute value of the growth rate is greater than the second set value, the dust falling rate is too fast, and the falling dust may scatter on the object to be cleaned, causing harm to the object to be cleaned. Therefore, manual troubleshooting is required.

[0198] In some embodiments, the first set value and the second set value can be obtained from a plurality of historical time series graphs.

[0199] For example, the maximum growth rate corresponding to the period when the growth rate in each historical time series graph is greater than 0 is obtained, and the average of a plurality of maximum growth rates is taken as the first set value.

[0200] In addition, the absolute value of the maximum growth rate corresponding to the period when the growth rate in each historical time series graph is less than 0 is obtained, and the average of a plurality of absolute values of the maximum growth rate is taken as the second set value. In this way, the first set value and the second set value can represent the growth rate values corresponding to the normal dust deposition rate and the dust falling rate.

[0201] In some embodiments, the dust deposition index corresponding to the two detection images of the detection area before and after the cleaning operation is obtained, and the growth rate of the dust deposition index corresponding to the cleaning operation with respect to the dust deposition index corresponding to the cleaning operation before the cleaning operation is obtained, so as to determine whether the automatic cleaning is effective. If the automatic cleaning is effective, the dust deposition index corresponding to the cleaning operation should be 0 or close to 0, and therefore the growth rate should be much less than 0. If not, it indicates that the cleaning is ineffective. Based on this, when the growth rate is less than 0 and the absolute value of the growth rate is less than a third set value, a warning information is sent. The third set value can also be obtained from a plurality of historical time series graphs. For example, two historical time series graphs before and after the cleaning operation are obtained, the dust deposition index corresponding to the first detection image in the historical time series graph after the cleaning operation is obtained, the dust deposition index corresponding to the Nth detection image in the historical time series graph before the cleaning operation is obtained, and the growth rate of the dust deposition index corresponding to the first detection image with respect to the dust deposition index corresponding to the Nth detection image is obtained as the third set value.

[0202] In the above steps, the growth rate greater than the first set value indicates that the dust deposition rate of the dust cover is too fast, and the growth rate less than 0 and the absolute value of the growth rate greater than the second set value indicates that the dust falling rate of the dust cover is too fast. Based on the different changes of the growth rate, corresponding measures are taken.

[0203] Referring to FIG. 13, FIG. 13 is a flowchart of a dust cover cleaning method according to some embodiments of the present application.

[0204] According to some embodiments of the present application, the cleaning method 100 of the dust cover further comprises:

[0205] In step 140, positioning information for characterizing a position of a dust removal area in the to-be-detected area is acquired in response to the instruction indicating to perform the cleaning operation on the to-be-detected area.

[0206] In step 150, the dust removal area is located based on the positioning information, so as to perform the cleaning operation on the dust removal area.

[0207] In step 150, the cleaning assembly can be moved to the position indicated by the positioning information, so as to perform the accurate cleaning operation on the dust removal area.

[0208] The dust removal area is located in the dust accumulation area. In some embodiments, the dust removal area can be the entire dust accumulation area, i.e., the positioning information is used to characterize the entire dust accumulation area. In this way, it can be ensured that the dust accumulation area is cleaned, and the dust removal efficiency of the dust cover is ensured.

[0209] In other embodiments, the dust removal area can be part of the dust accumulation area, i.e., the positioning information is used to characterize part of the dust accumulation area. For example, the dust removal area can be an area radiating from the center of the dust accumulation area to the surrounding. For some cleaning assemblies performing the cleaning operation on the dust removal area, the airflow sprayed for dust removal can radiate a large range, and therefore, only part of the dust accumulation area can be located, so that when the cleaning assembly performs dust removal on the part of the dust accumulation area, the airflow sprayed can also take away the positions in the dust accumulation area that are not located.

[0210] In the above steps, manual observation of the position of the dust removal area is not required, automatic cleaning of the dust cover is achieved, and manpower can be saved.

[0211] According to some embodiments of the present application, step 140 can include: identifying the dust accumulation area in the to-be-detected area based on the detection image, so as to acquire positioning information of the dust accumulation area, and the positioning information includes coordinate information of the dust accumulation area.

[0212] A three-dimensional coordinate axis can be established, and coordinate information of the dust accumulation area in the three-dimensional coordinate can be acquired. The three-dimensional coordinate axis includes an X-axis, a Y-axis, and a Z-axis, and the coordinate information can be a position of the dust accumulation area on the X-axis, a position on the Y-axis, and a position on the Z-axis compared to a coordinate origin of the three-dimensional coordinate axis. The coordinate origin can be located on the to-be-detected area, or can be located at a position other than the to-be-detected area in the dust cover, or can be located outside the dust cover.

[0213] In some embodiments, the coordinate information can be only coordinates of several points in the dust accumulation area.

[0214] In other embodiments, the dust accumulation area can be divided into a plurality of sub-areas, and the coordinate information can be a coordinate range of at least one of the plurality of sub-areas.

[0215] In some embodiments, the coordinate information of the dust accumulation region can be a coordinate range of the entire dust accumulation region.

[0216] In some embodiments, the method for identifying the dust accumulation region in the detection region based on the detection image to obtain the positioning information of the dust accumulation region can include:

[0217] First, the dust accumulation profile corresponding to the dust accumulation region is obtained. The method for obtaining the dust accumulation profile can refer to the description of the method for obtaining the dust accumulation profile above, and will not be described here.

[0218] Then, the coordinate information of the dust accumulation region is obtained based on the dust accumulation profile.

[0219] In some embodiments, any device or software capable of positioning image coordinates known to those skilled in the art can be used to obtain the coordinate information of the dust accumulation region.

[0220] In some embodiments, the obtained coordinate information of the dust accumulation region can be compared with the preset coordinate information to determine whether the coordinate information matches the preset coordinate information. If they match, the dust removal region is located based on the positioning information, and a cleaning operation is performed on the dust removal region. If they do not match, an exception is reported.

[0221] In some embodiments, if the obtained coordinate information does not match the preset coordinate information, the coordinate information of the dust accumulation region is re-obtained and compared with the preset coordinate information again. If the coordinate information obtained for M times does not match the preset coordinate information, a positioning exception is reported. In this way, the accuracy of the reported result can be improved. In some embodiments, M times can be 2 times, 3 times, 4 times or more.

[0222] In some embodiments, the preset coordinate information is a coordinate range of the detection region.

[0223] In the above steps, the coordinate information can accurately locate the dust accumulation region, and thus the dust accumulation region can be accurately cleaned, and the dust cover can be effectively cleaned.

[0224] Referring to FIG. 14, FIG. 14 is an exemplary block diagram of a dust cover cleaning device according to some embodiments of the present application.

[0225] The dust cover cleaning device 800 according to some embodiments of the present application includes a first obtaining module 810 configured to obtain a detection image of a detection region including a dust cover; a second obtaining module 820 configured to obtain dust accumulation information of the detection region based on the detection image, the dust accumulation information being used to represent a dust condition of the detection region; and a determining module 830 configured to determine whether to perform a cleaning operation on the detection region based on the dust accumulation information.

[0226] The first obtaining module 810, the second obtaining module 820 and the judging module 830 in the dust cover cleaning device 800 can correspond to steps 110 to 130 in the dust cover cleaning method 100 shown in FIG. 3 respectively, and details are not repeated here for brevity.

[0227] By determining whether the cleaning operation needs to be performed on the to-be-detected region according to the detection image of the to-be-detected region, the artificial cleaning of the dust cover can be avoided, the problem that the dust cover cannot be used temporarily due to cleaning of the dust cover can be avoided, the use frequency of the dust cover can be improved, and the dust removal efficiency of the to-be-cleaned object can be improved.

[0228] Referring to FIG. 15, FIG. 15 is a schematic block diagram of a dust cover cleaning device according to some embodiments of the present application.

[0229] According to some embodiments of the present application, the device further comprises a third obtaining module 840 configured to obtain positioning information representing a position of a to-be-cleaned region in the to-be-detected region in response to an instruction of the judging module 830 indicating that the cleaning operation needs to be performed on the to-be-detected region; and a positioning module 850 configured to position the to-be-cleaned region based on the positioning information to perform the cleaning operation on the to-be-cleaned region.

[0230] The third obtaining module 840 can correspond to step 140 in the dust cover cleaning method shown in FIG. 13. The positioning module 850 can correspond to step 150 in the dust cover cleaning method shown in FIG. 13, and details are not repeated here for brevity.

[0231] The third obtaining module 840 obtains the positioning information of the to-be-cleaned region, so that the position of the to-be-cleaned region does not need to be observed manually, and the positioning module 850 can position the to-be-cleaned region to clean automatically, thereby saving manpower and improving the cleaning efficiency of the to-be-detected region of the dust cover.

[0232] It should be noted that the functions of each module discussed herein can be divided into multiple modules, and / or at least some functions of multiple modules can be combined into a single module. The specific module discussed herein performs an action includes that the specific module itself performs the action, or alternatively, the specific module calls or otherwise accesses another component or module that performs the action (or performs the action in conjunction with the specific module). Therefore, the specific module that performs an action can include the specific module itself that performs the action and / or another module that the specific module calls or otherwise accesses to perform the action.

[0233] It should also be understood that various techniques described herein can be described in the general context of software hardware elements or program modules. The various modules described above with respect to FIG. 14 and FIG. 15 can be implemented in hardware or in hardware combined with software and / or firmware. For example, these modules can be implemented as computer program code / instructions configured to be executed in one or more processors and stored in a computer-readable storage medium. Alternatively, these modules can be implemented as hardware logic / circuitry. The hardware logic / circuitry can include an integrated circuit chip (including one or more components of a processor (e.g., a Central Processing Unit (CPU), a microcontroller, a microprocessor, a Digital Signal Processor (DSP), etc.), a memory, one or more communication interfaces, and / or other circuitry) and can optionally execute received program code and / or include embedded firmware to perform functionality.

[0234] Referring to FIG. 16, FIG. 16 is a block diagram of an exemplary computing device that can be applied to the exemplary embodiments.

[0235] The embodiments of the present application further provide a computing device 1000, comprising at least one processor; and at least one memory communicatively connected with the at least one processor, the at least one memory storing instructions, which, when executed by the at least one processor alone or jointly, cause the computing device 1000 to perform the method in the above-described embodiments.

[0236] The computing device 1000 can include at least one processor 1005, memory 1007, communication interface(s) 1002, display device 1001, other input / output (I / O) devices 1003, and one or more mass storage devices 1006, which can communicate with each other, such as via a system bus 1004 or other appropriate connection. The memory 1007 stores instructions, which, when executed by the processor 1005, cause the processor 1005 to perform the methods in the above-described embodiments. The computing device 1000 can be various different types of devices. Examples of the computing device 1000 include, but are not limited to: a desktop computer, a server computer, a notebook computer or netbook computer, a mobile device (e.g., a tablet computer, a cellular or other wireless phone (e.g., a smart phone), a notepad computer, a mobile station), a wearable device (e.g., glasses, a watch), an entertainment device (e.g., an entertainment appliance, a set-top box, a game console), a television or other display device, an automobile computer, and so forth.

[0237] The processor 1005 can be a single processing unit or a plurality of processing units, all of which can include single or multiple computing units or multiple cores. The processor 1005 can be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and / or any devices that manipulate signals based on operational instructions. Among other capabilities, the processor 1005 can be configured to fetch and execute computer-readable instructions stored in the memory 1007, the mass storage device 1006, or any other computer-readable medium.

[0238] The memory 1007 and the mass storage device 1006 are examples of computer-readable storage media for storage of instructions which are executed by the processor 1005 to implement the various functionalities described above. By way of example, the memory 1007 can include both volatile memory and nonvolatile memory, such as RAM (Random Access Memory), ROM (Read-Only Memory), and the like. Further, the mass storage device 1006 can include hard disk drives, solid state drives, removable media, including external and removable drives, memory cards, flash memory, floppy disks, optical disks (e.g., CD or DVD), storage arrays, network attached storage, storage area networks, and the like. Both the memory 1007 and the mass storage device 1006 can be collectively referred to as memory or computer-readable storage media, and can be non-transitory in that the computer-readable, processor-executable program instructions can be stored as computer program code on the computer-readable storage medium which can be executed by the processor 1005 as a particular machine configured to implement the operations and functionalities described in the examples herein.

[0239] A plurality of programs can be stored on the mass storage device 1006. These programs include an operating system 1008, one or more application programs 1009, other programs 1010, and program data 1011, and they can be loaded into the memory 1007 for execution. Examples of such application programs or program modules can include, for example, computer program logic (e.g., computer program code or instructions) for implementing the dust cover cleaning device 800 (including the first obtaining module 810, the second obtaining module 820, the determining module 830, the third obtaining module 840, and the positioning module 850) and the dust cover cleaning method 100 (including any suitable steps of the dust cover cleaning method), and / or additional embodiments described herein.

[0240] Although illustrated as being stored in the memory 1007 of the computing device 1000 in FIG. 16, the operating system 1008, the application programs 1009, the other programs 1010, and the program data 1011, or portions thereof, can be implemented in any form of computer-readable media including, but not limited to, any type of volatile or non-volatile storage media, memory devices, or memory devices.

[0241] One or more communication interfaces 1002 are used to exchange data with other devices, such as over a network, a direct connection, or the like. Such communication interfaces can be one or more of any type of network interface (for example, network interface cards (NICs)), wired or wireless (such as, for example, IEEE 802.11 wireless LAN (WLAN)) wireless interfaces, Worldwide Interoperability for Microwave Access (Wi MAX) interfaces, Ethernet interfaces, Universal Serial Bus (USB) interfaces, cellular network interfaces, Bluetooth™ interfaces, near field communication (NFC) interfaces, or the like. The communication interfaces 1002 can facilitate communications within a variety of networks and protocols, including wired networks (for example, LAN, cable, or the like), and wireless networks (for example, WLAN, cellular, satellite, or the like), the Internet, or the like. The communication interfaces 1002 can also provide communications with external storage devices (not shown), such as storage arrays, network attached storage, storage area networks, or the like.

[0242] In some examples, a display device 1001, such as a monitor, can be included for displaying information and images to a user. Other I / O devices 1003 can be devices that receive various inputs from a user and provide various outputs to the user, and can include touch input devices, gesture input devices, cameras, keyboards, remote controls, mice, printers, audio input / output devices, or the like.

[0243] The technology described herein can be supported by the various configurations of the computing device 1000 and is not limited to the specific examples described herein. For example, the functionality can also be implemented all or in part through use of a distributed system, such as over a "cloud." Cloud includes and / or comprises a platform of resources. The platform abstracts underlying functionality of hardware (for example, servers) and software resources of the cloud. Resources can include applications and / or data that can be utilized while a computing process is executed on a server that is remote from the computing device 1000. Resources can also include services provided over the Internet and / or over a subscriber network, such as a cellular or WiFi network. The platform can abstract resources and functionality to connect the computing device 1000 with other computing devices 1000. Accordingly, implementation of the functionality described herein can be distributed throughout the cloud. For example, functionality can be implemented in part on the computing device 1000 and in part by the platform that abstracts the functionality of the cloud.

[0244] Referring to FIGS. 17-22, FIG. 17 is a cross-sectional view of a dust cover of a laser processing system according to some embodiments of the present application, FIG. 18 is a perspective view of a laser processing system according to some embodiments of the present application, FIG. 19 is a front view of a laser processing system according to some embodiments of the present application, FIG. 20 is a side view of a laser processing system according to some embodiments of the present application, FIG. 21 is a top view of a laser processing system according to some embodiments of the present application, and FIG. 22 is an enlarged view of a portion of a laser processing system according to some embodiments of the present application.

[0245] The embodiments of the present application also provide a laser processing system, which comprises a laser processing device for performing laser processing on a battery. The laser processing system further comprises a dust cover 201 for covering a position of the battery to be processed by the laser. The dust cover 201 has a hollow cavity 40 with two open ends. One end of the hollow cavity 40 is provided with a laser entrance 41a, and the other end is provided with an opening for exposing the position of the battery to be processed by the laser. The laser processing system further comprises the computing device 1000 according to the above embodiments, which is configured to control the dust cover 201 to perform a cleaning operation during the laser processing. The area to be detected of the dust cover 201 includes an area where the opening of the hollow cavity 40 for exposing the battery is located.

[0246] The laser processing system can be used to perform steps 110-130 in the cleaning method 100 of the dust cover shown in FIG. 3.

[0247] The laser enters the hollow cavity 40 from the laser entrance 41a and is transmitted along the hollow cavity 40 to the other opening of the hollow cavity 40 opposite the laser entrance 41a, so as to perform laser processing on the battery exposed by the other opening.

[0248] In some embodiments, the laser processing can include laser welding, laser cleaning, laser cutting, and the like.

[0249] The dust cover 201 further comprises an air inlet and an air outlet 50. The airflow enters the hollow cavity 40 of the dust cover 201 from the air inlet, flows through the opening of the hollow cavity 40 for exposing the battery, carries away the dust on the battery exposed by the opening, and then flows out of the air outlet 50, thereby completing the dust removal of the battery. In some embodiments, the air inlet and the laser entrance 41a can be the same, i.e., the airflow can enter the hollow cavity 40 from the laser entrance 41a.

[0250] Since the dust on the battery is carried away by the airflow from the opening for exposing the battery, a large amount of dust will remain at the opening. After a period of time, the dust will accumulate on the inner edge of the opening, causing the opening to gradually become smaller, and thus the area of the battery exposed by the opening will also become smaller, which will affect the efficiency of the laser processing on the battery.

[0251] That is, the opening of the hollow cavity 40 for exposing the battery is an area prone to dust accumulation. Based on this, the to-be-detected area of the dust removal cover 201 includes the area where the opening of the hollow cavity 40 for exposing the battery is located.

[0252] In some embodiments, the to-be-detected area can only include the area surrounded by the opening of the hollow cavity 40 for exposing the battery.

[0253] In other embodiments, the to-be-detected area can also include the area surrounded by the opening of the hollow cavity 40 for exposing the battery and the partial area around the opening.

[0254] Referring to FIG. 17, in some embodiments, the dust removal cover 201 includes a pressing plate 201a and a cover plate 201b arranged on the pressing plate 201a, and the cover plate 201b cooperates with the pressing plate 201a to form a hollow cavity 40 in the dust removal cover 201. The laser incidence port 41a is located on the cover plate 201b, and the opening for exposing the battery is located on the pressing plate 201a. Exemplarily, the cover plate 201b has a sub-hollow cavity 41 penetrating the cover plate 201b, and the sub-hollow cavity 41 has opposite laser incidence ports 41a and a bottom opening. The pressing plate 201a has a through hole 42, the bottom opening of the sub-hollow cavity 41 is arranged towards the through hole 42, opposite to the through hole 42, and connected to the through hole 42, so that the sub-hollow cavity 41 and the through hole 42 constitute the hollow cavity 40.

[0255] The through hole 42 has a first opening 42a arranged away from the cover plate 201b. When the battery is subjected to laser processing, the battery is located on the side of the pressing plate 201a away from the cover plate 201b and opposite to the first opening 42a, and the first opening 42a exposes the battery, that is, the first opening 42a is the opening of the hollow cavity 40 for exposing the battery. The to-be-detected area of the dust removal cover 201 includes the area where the first opening 42a is located.

[0256] During the cleaning process of the dust removal cover 201, the dust removal cover 201 cannot be used, so that the dust generated during the laser processing process cannot be removed, and the laser processing equipment is also stopped. In the embodiments of the present application, the dust accumulation information of the to-be-detected area can be obtained based on the detection image of the to-be-detected area, and it is determined whether the cleaning operation needs to be performed on the to-be-detected area based on the dust accumulation information. It can avoid frequent manual cleaning of the dust removal cover 201, and thus can avoid the problem of frequent shutdown of the laser processing equipment due to the high cleaning frequency of the dust removal cover 201, ensure the laser processing efficiency of the laser processing equipment on the battery, and thus ensure the high production capacity of the battery.

[0257] According to some embodiments of the present application, the laser processing equipment is configured to perform laser cleaning on the liquid injection port of the battery.

[0258] The opening of the other end of the hollow cavity 40 opposite to the laser incidence port 41a exposes the liquid injection port of the battery, so that the laser cleaning irradiates the surface of the battery liquid injection port by a high-energy light beam, and the peeled dust of the battery liquid injection port is taken away by the airflow in the dust removal cover 201.

[0259] In some embodiments, the battery is located on the side of the pressing plate 201a away from the cover plate 201b, and the liquid injection port of the battery is placed opposite to the through hole 42 of the pressing plate 201a, and the first opening 42a of the through hole 42 exposes the liquid injection port of the battery.

[0260] Since the manual cleaning of the dust removal cover 201 can be avoided, the downtime frequency of the laser processing equipment is low, the efficiency of laser cleaning of the liquid injection port of the battery is high, and the production capacity of the battery is ensured to be high.

[0261] Referring to FIGS. 18-21, according to some embodiments of the present application, the laser processing system further comprises a camera for acquiring a detection image of the to-be-detected area.

[0262] The camera is arranged on the side of the dust removal cover 201 away from the battery.

[0263] In some embodiments, the camera can include a lens 202a, and a light source 202b and a camera 202c connected to the lens 202a, the lens 202a is arranged opposite to the light source 202b and located on the side of the light source 202b away from the dust removal cover 201. The light source 202b is used to provide light to the to-be-detected area of the dust removal cover 201, and the lens 202a is used to converge the reflected light of the battery being photographed to form a clear image on the camera 202c.

[0264] In some embodiments, the lens 202a can include one of a FA (Factory Automation) lens, a high-resolution lens, an image scanning lens, a condenser lens, or a telecentric lens.

[0265] In some embodiments, the light source 202b can include one of an LED light source, an ultraviolet lighting system, an infrared light source, or an optical fiber lighting system.

[0266] In some embodiments, the camera 202c can include one of a CCD (Charge Coupled Device) camera, a CMOS (Complementary Metal Oxide Semiconductor) camera, an industrial camera, a face array camera, a line scanning camera, or an infrared camera.

[0267] The camera can acquire a clear detection image, and thus the reliability of obtaining the dust information of the to-be-detected area based on the detection image is high.

[0268] With reference to FIGS. 18-21, according to some embodiments of the present application, the laser processing system further comprises a positioning component configured to, in response to an instruction indicating that a cleaning operation is to be performed on the to-be-detected region, acquire positioning information characterizing a position of a to-be-cleaned region in the to-be-detected region. The laser processing system further comprises a cleaning assembly 204 configured to perform the cleaning operation on the to-be-cleaned region, and a driving component configured to drive the cleaning assembly 204 to move to the to-be-cleaned region based on the positioning information.

[0269] The positioning component is communicatively connected to a computing device in the laser processing system, and the computing device is configured to acquire dust information of the to-be-detected region based on the detection image, determine whether a cleaning operation needs to be performed on the to-be-detected region based on the dust information, and generate a first control signal when it is determined that a cleaning operation needs to be performed on the to-be-detected region.

[0270] The positioning component acquires the positioning information in response to the first control signal.

[0271] In some embodiments, the positioning component has a vision processing software configured to acquire the position information of the to-be-cleaned region. The vision processing software can be any software known to those skilled in the art that can acquire positioning information of any position in the detection image based on the detection image.

[0272] In some embodiments, the positioning component can acquire coordinate information of the to-be-cleaned region as the positioning information of the to-be-cleaned region.

[0273] The method by which the positioning component acquires the coordinate information of the to-be-cleaned region can refer to the description of the corresponding method in step 140 of the above embodiments, which will not be described hereinafter.

[0274] The description of the to-be-cleaned region can refer to the related description of the above embodiments, which will not be described hereinafter.

[0275] In some embodiments, the driving component is communicatively connected to a computing device in the laser processing system, the positioning component sends the generated positioning information to the computing device, the computing device generates a second control signal in response to the positioning information, and the driving component moves the cleaning assembly 204 to the corresponding to-be-cleaned region in response to the second control signal.

[0276] The cleaning assembly 204 is drivingly connected to the driving component, so that the driving component can drive the cleaning assembly 204 to move.

[0277] Referring to FIG. 22, in some embodiments, the cleaning assembly 204 extends into the hollow cavity of the dust cover 201 to clean the region where the opening exposing the battery is located.

[0278] In some embodiments, the cleaning assembly 204 can include a nozzle. The nozzle sprays a gas flow to the dust removal area to clean the dust removal area.

[0279] In some embodiments, the cleaning assembly 204 can also be a laser cleaning assembly, a dry ice cleaning assembly, or any other component capable of cleaning the dust removal area.

[0280] In some embodiments, the camera can also be in transmission connection with the driving component, so that the driving component can drive the camera to move above the detection area to align the detection area for shooting.

[0281] In some embodiments, the cleaning assembly 204 can be mounted on the light source 202b, so that after the light source 202b aligns with the detection area, the cleaning assembly 204 can also align with the detection area, and the subsequent movement range of the dust removal area is smaller.

[0282] Without manual observation of the position of the dust removal area and without manual cleaning, the automatic cleaning of the dust cover 201 is realized.

[0283] According to some embodiments of the present application, the driving component is configured to drive the cleaning assembly 204 to move to the dust removal area in at least one of the X-axis direction, the Y-axis direction, and the Z-axis direction based on the positioning information. The driving component includes: a first driving sub-component 203a for driving the cleaning assembly 204 to move in the X-axis direction; a second driving sub-component 203b for driving the cleaning assembly 204 to move in the Y-axis direction; and a third driving sub-component 203c for driving the cleaning assembly 204 to move in the Z-axis direction.

[0284] In some embodiments, the positioning information includes coordinate information of the dust removal area, and a three-dimensional coordinate axis can be established to obtain coordinate information of the dust removal area in the three-dimensional coordinate. The three-dimensional coordinate axis includes: an X-axis, a Y-axis, and a Z-axis. The coordinate information can be the position of the dust removal area on the X-axis, the position on the Y-axis, and the position on the Z-axis compared to the coordinate origin of the three-dimensional coordinate axis.

[0285] The driving component drives the cleaning assembly 204 to move to the dust removal area in at least one of the X-axis direction, the Y-axis direction, and the Z-axis direction based on the coordinate information.

[0286] The first driving sub-component 203a, the second driving sub-component 203b, and the third driving sub-component 203c constitute a three-axis linkage mechanism.

[0287] In some embodiments, the first driving sub-component 203a is an X-axis servo module, the second driving sub-component 203b is a Y-axis servo module, and the third driving sub-component 203c is a Z-axis servo module.

[0288] In some embodiments, the driving component further comprises a servo motor for driving the X-axis servo module, the Y-axis servo module and the Z-axis servo module to move along the X-axis, the Y-axis and the Z-axis directions respectively.

[0289] In some embodiments, the driving component further comprises a support frame 205, and the X-axis servo module, the Y-axis servo module and the Z-axis servo module are fixed vertically on the support frame 205.

[0290] Through the driving component, the cleaning assembly 204 can be moved in different directions, and the cleaning assembly 204 can be accurately moved to the dust removal area indicated by the positioning information, so that the dust removal cover 201 can be effectively cleaned.

[0291] The embodiments of the present application further provide a computer readable storage medium storing instructions, which, when executed by one or more processors of a computing device alone or in combination, enable the computing device to perform the method in the above embodiments.

[0292] The computer readable storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. The computer readable storage medium includes but is not limited to RAM, ROM, EEPROM (Electrically Erasable Programmable read only memory, Electrically Erasable Programmable Read-Only Memory), flash memory or other memory technology, CD ROM (Compact Disc Read-Only Memory, Compact Disc Read-Only Memory), digital versatile disc (DVD), or other optical storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information for access by a computing device.

[0293] The embodiments of the present application further provide a computer program product comprising instructions, which, when executed by one or more processors of a computing device alone or in combination, enable the computing device to perform the method in the above embodiments.

[0294] According to some embodiments of the present application, as shown in FIGS. 3 to 13, a dust cover cleaning method is provided. The dust cover has a to-be-detected area, and in the dust cover cleaning method:

[0295] A detection image including the to-be-detected area of the dust cover is obtained. The dust cover has a hollow cavity with two open ends, one end of the hollow cavity is a laser incidence port, and the other end opposite to the laser incidence port is used to expose the position of the battery for laser processing. The to-be-detected area is the area where the opening for exposing the object to be removed is located.

[0296] The dust accumulation index corresponding to the area to be detected is obtained based on the detection image. The dust accumulation index is used to characterize the area ratio of the dust accumulation area in the area to be detected. The method for obtaining the dust accumulation index includes: obtaining the standard contour of the area to be detected when there is no dust accumulation based on the detection image; obtaining the non-dust accumulation contour of the area to be detected after dust accumulation based on the detection image; obtaining the area of ​​the area to be detected based on the standard contour; obtaining the non-dust accumulation area based on the non-dust accumulation contour; subtracting the non-dust accumulation area from the area of ​​the area to be detected to obtain the dust accumulation area. Afterwards, the dust accumulation area and the area of ​​the area to be detected are substituted into the following first formula (1):

[0297] Wherein, K is the dust accumulation index, A1 is the dust accumulation area, and A2 is the area of ​​the area to be detected.

[0298] The dust hood cleaning method also includes: obtaining N detection images obtained by the camera at intervals of time to capture the area to be detected, where N is an integer greater than 1, and obtaining n dust accumulation indexes corresponding to n detection images captured continuously among the N detection images, where n is an integer greater than or equal to 1 and less than or equal to N; if the n dust accumulation indexes are all greater than a preset dust accumulation index threshold, it is determined that dust removal is required in the dust accumulation area.

[0299] The dust cover cleaning method further includes: obtaining the interval time t between the mth shooting and the first shooting m , where the first shot corresponds to the situation where there is no dust accumulation in the area to be detected, and m is an integer greater than 1 and less than or equal to N. If the dust accumulation index corresponding to the detection image shot at the mth time is greater than the preset dust accumulation index threshold and t m If the time is less than the preset threshold, an early warning message will be issued.

[0300] The cleaning method of the dust cover further includes: obtaining a dust accumulation index K corresponding to the detection image obtained by the qth shooting in the N shootings q ; Get the dust accumulation index K corresponding to the detection image obtained by the p-th shooting before the q-th shooting p , 1≤p <q≤N,p和q均为整数;将积灰指数K q and dust accumulation index K p Substitute the following into the second formula (2):

[0301] Among them, S represents the growth rate.

[0302] If the growth rate is greater than the first set value, it is judged that the dust accumulation trend is serious and there is a hidden danger in the dust removal system, and an alarm message is issued; and / or, if the growth rate is less than 0 and the absolute value of the growth rate is greater than the second set value, it is judged that the dust falling is serious, and an alarm message is issued to warn manual inspection of hidden dangers and faults.

[0303] The dust cover cleaning method further comprises:

[0304] If the current dust accumulation index K is greater than the set value, or the dust accumulation index K obtained for five consecutive times is greater than the set value, it is determined that the dust accumulation area needs to be cleaned, and in response to an instruction indicating that the cleaning operation is to be performed on the to-be-detected area, the dust accumulation area in the to-be-detected area is identified based on the detection image to obtain coordinate information of the dust accumulation area. The current dust accumulation index K refers to the dust accumulation index corresponding to the detection image obtained by photographing the to-be-detected area for the Nth time. The dust accumulation index K obtained for five consecutive times refers to five dust accumulation indexes corresponding to five detection images photographed consecutively.

[0305] The to-be-cleaned area is located based on the coordinate information, and the cleaning operation is performed on the to-be-cleaned area.

[0306] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the specification of the present application. In particular, as long as there is no structural conflict, each technical feature mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A dust hood cleaning method, wherein the dust hood has an area to be inspected, the cleaning method comprising: Acquire a detection image of the area to be detected including the dust removal cover; acquiring dust accumulation information of the area to be detected based on the detection image, wherein the dust accumulation information is used to characterize the dust condition of the area to be detected; as well as Based on the dust accumulation information, it is determined whether to perform a cleaning operation on the area to be inspected.

2. The dust cover cleaning method according to claim 1, wherein: The dust accumulation information includes a dust accumulation index, and acquiring the dust accumulation information of the area to be detected based on the detection image includes: Obtaining a dust accumulation index corresponding to the area to be detected based on the detection image, wherein the dust accumulation index is used to characterize the area ratio of the dust accumulation area in the area to be detected. Wherein, determining whether to perform a cleaning operation on the area to be detected based on the dust accumulation information includes: It is determined whether dust removal is required for the dust accumulation area based on the dust accumulation index.

3. The dust cover cleaning method according to claim 2, wherein: Acquiring the dust accumulation index corresponding to the area to be detected based on the detection image includes: acquiring the dust accumulation area of ​​the dust accumulation region based on the detection image; The dust accumulation index is obtained based on the dust accumulation area and the area of ​​the region to be detected.

4. The dust cover cleaning method according to claim 3, wherein: The method for obtaining the dust accumulation area based on the detection image includes: Acquire a standard outline of the area to be inspected when no dust accumulates based on the inspection image; Acquire, based on the detection image, a non-dust-accumulated contour of the area to be detected after dust accumulation; The dust accumulation area is obtained based on the standard profile and the non-dust accumulation profile.

5. The dust cover cleaning method according to any one of claims 2 to 4, wherein: Acquiring N detection images obtained by a camera shooting the area to be detected at intervals, where N is an integer greater than 1, and determining whether dust removal is required for the dust accumulation area based on the dust accumulation index includes: Obtaining n dust accumulation indexes corresponding to n consecutively captured detection images among the N detection images, where n is an integer greater than or equal to 1 and less than or equal to N; If the n dust accumulation indexes are all greater than a preset dust accumulation index threshold, it is determined that dust removal is required for the dust accumulation area.

6. The dust hood cleaning method according to any one of claims 2 to 5, wherein: Also includes: Based on the dust accumulation index, detecting the dust accumulation rate of the area to be detected; If the test results of the dust accumulation rate test meet the preset conditions, an early warning message will be issued.

7. The dust cover cleaning method according to claim 6, wherein: In a case where N detection images of the area to be detected are obtained by capturing the area to be detected by a camera at intervals, the dust accumulation rate includes a first dust accumulation rate, and detecting the dust accumulation rate of the area to be detected based on the dust accumulation index includes: Obtain the interval time tm between the mth shooting and the first shooting, wherein the first shooting corresponds to the situation where there is no dust accumulation in the area to be inspected, and m is an integer greater than 1 and less than or equal to N. The first dust accumulation rate is characterized based on the dust accumulation index corresponding to the detection image captured for the mth time and the time interval tm; The preset conditions include: the dust accumulation index corresponding to the detection image captured for the mth time is greater than a preset dust accumulation index threshold and tm is less than a preset time threshold.

8. The dust cover cleaning method according to claim 6, wherein: When obtaining N detection images of the area to be detected taken by the camera at regular intervals, the dust accumulation rate includes a second dust accumulation rate. Detecting the dust accumulation rate of the area to be detected based on the dust accumulation index includes: Obtaining the dust accumulation index Kp corresponding to the detection image obtained in the p-th shot among the N shots; Obtaining the dust accumulation index Kq corresponding to the detection image obtained in the q-th shot among the N shots, where 1 ≤ p < q ≤ N, and both p and q are integers; and Obtaining the growth rate of the dust accumulation index Kq compared to the dust accumulation index Kp as the second dust accumulation rate; Wherein, if the growth rate meets the preset condition, a warning message is issued.

9. The dust cover cleaning method according to claim 8, wherein: The preset condition includes: the growth rate is greater than the first set value; and / or, the growth rate is less than 0, and the absolute value of the growth rate is greater than the second set value.

10. The dust hood cleaning method according to any one of claims 1 to 9, wherein: It further includes: In response to an instruction to perform a cleaning operation on the area to be detected, obtaining positioning information for characterizing the position of the area to be dust-removed in the area to be detected; Positioning the area to be dust-removed based on the positioning information to perform a cleaning operation on the area to be dust-removed.

11. The dust cover cleaning method according to claim 10, wherein: Obtaining the positioning information includes: Identifying the dust-accumulated area in the area to be detected based on the detection image to obtain the positioning information of the dust-accumulated area, and the positioning information includes the coordinate information of the dust-accumulated area.

12. A dust removal hood cleaning device, comprising: A first acquisition module for acquiring a detection image of the area to be detected including the dust removal hood; A second acquisition module for obtaining the dust accumulation information of the area to be detected based on the detection image, and the dust accumulation information is used to characterize the dust condition of the area to be detected; A judgment module for determining whether to perform a cleaning operation on the area to be detected based on the dust accumulation information.

13. The dust cover cleaning device according to claim 12, wherein: It further includes: A third acquisition module for obtaining positioning information for characterizing the position of the area to be dust-removed in the area to be detected in response to an instruction from the judgment module to perform a cleaning operation on the area to be detected; A positioning module for positioning the area to be dust-removed based on the positioning information to perform a cleaning operation on the area to be dust-removed.

14. A computing device, comprising: At least one processor; And At least one memory communicatively connected to the at least one processor, and the at least one memory stores instructions that, when executed alone or jointly by the at least one processor, cause the computing device to execute the method according to any one of claims 1 to 11.

15. A laser processing system, comprising: A laser processing device for performing laser processing on a battery; A dust removal hood for covering the position where the battery is subjected to laser processing, the dust removal hood having a hollow cavity with openings at both ends, one opening at one end of the hollow cavity being a laser incident port, and the opening at the opposite end being for exposing the position where the battery is subjected to laser processing; The computing device according to claim 14, for controlling the execution of a cleaning operation on the dust removal hood during laser processing, and the area to be detected of the dust removal hood includes the area where the opening for exposing the battery is located in the hollow cavity.

16. The apparatus according to claim 15, wherein The laser processing equipment is configured to perform laser cleaning on the liquid injection port of the battery.

17. The apparatus according to claim 15 or 16, wherein The laser processing system further includes a camera for acquiring a detection image of the area to be detected.

18. The apparatus according to any one of claims 15 to 17, wherein: The laser processing system further comprises: a positioning component for acquiring positioning information representing a position of a to-be-detected area in the to-be-detected area in response to an instruction to perform a cleaning operation on the to-be-detected area; A cleaning component, used for performing a cleaning operation on the area to be dust-removed; A driving component is used to drive the cleaning component to move to the area to be dust-removed based on the positioning information.

19. The apparatus according to claim 18, wherein The driving component is configured to drive the cleaning assembly to move to the area to be dust removed along at least one of the X-axis direction, the Y-axis direction, and the Z-axis direction based on the positioning information, and the driving component includes: A first driving sub-component, used for driving the cleaning assembly to move in the X-axis direction; A second driving sub-component is used to drive the cleaning assembly to move in the Y-axis direction; The third driving subcomponent is used to drive the cleaning component to move in the Z-axis direction.

20. A computer-readable storage medium storing instructions, which, when executed individually or collectively by one or more processors of a computing device, cause the computing device to perform the method of any one of claims 1 to 11.

21. A computer program product comprising instructions which, when executed individually or collectively by one or more processors of a computing device, cause the computing device to perform the method of any one of claims 1 to 11.

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