Patent Application
20250176787
This application is based upon and claims priority to Chinese Patent Application No. 202311630203.4, filed on Nov. 30, 2023, the entire content of which is incorporated herein by reference.
This disclosure relates to the field of household appliances, and in particular, to a docking station, and a method, an apparatus and a storage medium for controlling the docking station.
In order to improve the cleaning effect of the sweeping robot, a dirtiness detection module is usually provided on the docking station of the sweeping robot.
According to a first aspect of this disclosure, a docking station includes: a station body, provided with a clean water path and a wastewater path, where the clean water path is configured to provide clean water to a cleaning device, the wastewater path is configured to discharge wastewater in the station body, and a water softener is provided on the clean water path; and a dirtiness detection module, including a first conductivity sensor, a second conductivity sensor, and a processor, where the first conductivity sensor is provided in the clean water path and located downstream of the water softener, the second conductivity sensor is provided in the wastewater path, and the processor is configured to determine dirtiness information based on detection results of the first conductivity sensor and the second conductivity sensor.
According to a second aspect of this disclosure, a method for controlling the docking station in the first aspect includes: obtaining at least one first conductivity detection value of the clean water path; obtaining at least one second conductivity detection value of the wastewater path; and determining the dirtiness information based on the at least one first conductivity detection value and the at least one second conductivity detection value.
According to a third aspect of this disclosure, a non-transitory computer-readable storage medium has instructions that, when executed by a processor of a terminal, cause the terminal to perform the method according to the second aspect.
It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit this disclosure.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this disclosure. Instead, they are merely examples of apparatuses and methods consistent with aspects of the disclosure as detailed in the appended claims.
In order to improve the cleaning effect of the sweeping robot, a dirtiness detection module is usually provided on the docking station of the sweeping robot. Exemplarily, the dirtiness detection module in the related art only detects the dirtiness value of the wastewater, resulting in a poor accuracy of the detection results, thereby causing a poor cleaning effect of the sweeping robot when controlling the cleaning of the sweeping robot based on the detection results.
In order to solve the above technical problems, this disclosure provides a docking station, which is provided with a water softener on the clean water path to soften the clean water in the clean water path, thereby improving the cleaning effect by using softened clean water. The dirtiness detection module includes a first conductivity sensor and a second conductivity sensor, where the first conductivity sensor is able to detect the conductivity in the clean water path and the second conductivity sensor is able to detect the conductivity in the wastewater path. Accordingly, the processor of the dirtiness detection module is able to determine the dirtiness information based on the conductivity in the clean water path and the conductivity in the wastewater path, so as to control subsequent cleaning operations based on the dirtiness information. Since the first conductivity sensor is located downstream of the water softener, the detection accuracy of conductivity in the clean water path can be ensured, thereby ensuring the accuracy of the determined dirtiness information.
Some embodiments of this disclosure provide a docking station. As shown in
The hardness of clean water is reduced through softening treatment, which not only effectively improves the cleaning effect when using softened clean water for cleaning, but also effectively reduces the risk of scaling inside the docking station, thereby reducing the failure rate of water-passing components in the docking station, improving reliability of the docking station and, thus, improving the user experience. It can be understood that the water-passing components refer to the components through which the clean water flows.
The dirtiness detection module includes a first conductivity sensor 17, a second conductivity sensor 18, and a processor. The first conductivity sensor 17 is provided on the clean water path and configured to detect the conductivity in the clean water path. The second conductivity sensor 18 is provided on the wastewater path and configured to detect the conductivity in the wastewater path. The processor is configured to determine dirtiness information based on the detection results of the first conductivity sensor 17 and the second conductivity sensor 18, so as to control subsequent cleaning operations based on the dirtiness information. The subsequent cleaning operations may include, for example, cleaning ground by the cleaning device, cleaning, by the docking station, the cleaning cloth of the cleaning device. Exemplarily, the processor determines a first conductivity target value according to the first conductivity detection value, determines a second conductivity target value according to the second conductivity detection value, determines a ratio or an absolute value of a difference between the first conductivity target value and the second conductivity target value as a target dirtiness value, and determines the target dirtiness value as the dirtiness information.
Since the first conductivity sensor 17 is provided downstream of the water softener 11, the first conductivity sensor 17 can detect the conductivity of the softened clean water, thereby ensuring the detection accuracy of the conductivity in the clean water path, thereby ensuring the accuracy of the determined dirtiness information. Upon controlling the subsequent cleaning operations based on the dirtiness information, the cleaning effect can be significantly improved, thereby improving the user experience.
It can be understood that conductivity is a parameter used for measuring the conductivity of a water solution and is directly related to the number and types of ions dissolved in the water. Hard water contains more ions, such as calcium and magnesium. After the water is softened, these ions can be removed, resulting in a reduced content of ionized substances. Therefore, soft water will generally have a lower conductivity than hard water. For example, the conductivity of industrial softened water is around 1040 ks/cm. The conductivity of newly distilled water or ion-exchanged water is in the range of 0.5 to 2 ks/cm. As the concentration of dissolved solids in water increases, the conductivity increases accordingly.
In some embodiments, as shown in
In some embodiments, while softening the clean water, the resin in the resin chamber 1121 can also be regenerated in the water softener 11, thereby ensuring the softening effect of the clean water and, thus, effectively improving the cleaning effect upon using the softened clean water.
As shown in
Continuing to refer to
In some other embodiments, the first conductivity sensor 17 is provided in the clean water branch. For example, it can be provided in any clean water branch among the multiple clean water branches, or the first conductivity sensor 17 can be provided on each clean water branch. When the first conductivity sensor 17 is provided on each clean water branch, the processor may use the average value of the conductivity values detected by each first conductivity sensor 17 as the first conductivity target value. Alternatively, weight values may be set for each conductivity value detected by the first conductivity sensor 17, and then the weighted conductivity values are added to obtain the first conductivity target value. In this way, the accuracy of the first conductivity target value can be effectively improved, thereby improving the accuracy of the detection results of the dirtiness detection module. Accordingly, upon controlling the sweeping robot to clean based on the detection results, the cleaning effect of the sweeping robot can be effectively improved, thereby improving the user experience.
In yet some other embodiments, the first conductivity sensor 17 is provided in both the clean water main path 151 and at least one clean water branch. For example, the first conductivity sensor 17 can be respectively provided in the clean water main path 151 and in any one of the clean water branches. The first conductivity sensor 17 can also be provided in the clean water main path 151 and each of the clean water branches. The processor may use the average value of the conductivity values detected by each first conductivity sensor 17 as the first conductivity target value. Alternatively, weight values may be set for each conductivity value detected by the first conductivity sensor 17, and then the weighted conductivity values are added to obtain the first conductivity target value. In this way, the accuracy of the first conductivity target value can be further improved.
Continuing to refer to
Continuing to refer to
Adopting such an arrangement improves the convenience of supplying water to the cleaning pool 14 on the one hand. The softened clean water is provided to the cleaning pool 14 through the second clean water branch 153, thereby improving the cleaning effect of the cleaning cloth on the cleaning device 2. On the other hand, instead of manually cleaning the cleaning cloth, the convenience of using the cleaning device 2 is effectively improved, thereby further improving the user experience.
Continuing to refer to
Continuing to refer to
When the connecting pipe 161 for transporting cleaning liquid is connected to the clean water path, the cleaning liquid may cause certain damage to the water softener 11 and thus affect the effect of softening the clean water. In view of this, the connection position between the connecting pipe 161 and the clean water path is located downstream of the water softener 11. The clean water is softened by the water softener before being mixed with the cleaning liquid, and the clean water mixed with the cleaning liquid flows out from the clean water path. With such arrangement, on the one hand, the cleaning liquid can be effectively prevented from causing damage to the water softener 11, thereby effectively improving the effect of the water softener 11 on softening clean water. On the other hand, softened clean water mixed with cleaning liquid can further improve the cleaning effect during cleaning.
For example, the cleaning liquid in the cleaning liquid chamber 16 can be pumped to the clean water path by providing a first pumping device 162 on the connecting pipe. The first pumping device 162 may be, for example, a peristaltic pump.
Continuing to refer to
In some other embodiments, the second conductivity sensor 18 is provided in the second wastewater pipe 133, so that the conductivity of the wastewater in the cleaning pool 14 can also be detected.
In some other embodiments, the first wastewater pipe 132 and the second wastewater pipe 133 are both provided with second conductivity sensors 18, and the processor can calculate an average value of the conductivity values detected by respective second conductivity sensors 18 as the second conductivity target value. Alternatively, weight values may be set for each conductivity value detected by the second conductivity sensor 18, and then the weighted conductivity values are added to obtain the second conductivity target value. In this way, the accuracy of the second conductivity target value can be effectively improved, thereby improving the accuracy of the detection results of the dirtiness detection module. Accordingly, upon controlling the sweeping robot to clean based on the detection results, the cleaning effect of the sweeping robot can be effectively improved, thereby improving the user experience.
Some embodiments of this disclosure provide a method for controlling the docking station as described above. As shown in
In S100, at least one first conductivity detection value of the clean water path is obtained.
In this step, as shown in
The first conductivity sensor 17 may be provided in any one of the clean water main path 151, the first clean water branch 152 and the second clean water branch 153, so as to obtain one first conductivity detection value. Alternatively, the first conductivity sensor 17 may be provided in the first clean water branch 152 and the second clean water branch 153 respectively, so as to obtain two first conductivity detection values Alternatively, the first conductivity sensor 17 may also be provided in the clean water main path 151 and either one of the first clean water branch 152 and the second clean water branch 153, so as to obtain two first conductivity detection values. Alternatively, the first conductivity sensor 17 may be provided on each one of the clean water main path 151, the first clean water branch 152 and the second clean water branch 153, so as to obtain three first conductivity detection values.
In S200, at least one second conductivity detection value of the wastewater path is obtained.
In this step, as shown in
In S300, the dirtiness information is determined based on the at least one first conductivity detection value and the at least one second conductivity detection value.
In some embodiments, the dirtiness information, determined based on the at least one first conductivity detection value and the at least one second conductivity detection value, can effectively improve the accuracy of the dirtiness information. During subsequent cleaning operations controlled based on the dirtiness information, the cleaning effect can be significantly improved, thereby improving the user experience.
In some embodiments, as shown in
In S310, the first conductivity target value is determined based on the at least one first conductivity detection value.
In this step, when there is only one first conductivity detection value, the first conductivity detection value is used as the first conductivity target value. When there are multiple first conductivity detection values, the average of the first conductivity detection values may be used as the first conductivity target value. Alternatively, weight values may be set for each first conductivity detection value, and then the weighted first conductivity detection values are added to obtain the first conductivity target value. For example, there are three first conductivity detection values, including a first conductivity detection value on the clean water main path, a first conductivity detection value on the first clean water branch, and a first conductivity detection value on the second clean water branch. Accordingly, the first conductivity target value=the first conductivity detection value on the clean water main path×0.4+the first conductivity detection value on the first clean water branch×0.3+the first conductivity detection value on the second clean water branch×0.3.
In S320, the second conductivity target value is determined based on the at least one second conductivity detection value.
In this step, when there is only one second conductivity detection value, the second conductivity detection value is used as the second conductivity target value. When there are multiple second conductivity detection values, the average value of respective second conductivity sensors 18 may be used as the second conductivity target value, or the weighted average value of respective second conductivity sensors 18 may be used as the second conductivity target value.
In S330, a ratio between or an absolute value of the difference between the first conductivity target value and the second conductivity target value is used as a target dirtiness value, and the target dirtiness value is determined as the dirtiness information.
In some embodiments, the first conductivity target value determined based on at least one first conductivity detection value can further improve the accuracy of the first conductivity target value. Correspondingly, the second conductivity target value determined based on at least one second conductivity detection value can improve the accuracy of the second conductivity target value. Furthermore, the dirtiness information determined based on the ratio between or the absolute value of the difference between the first conductivity target value and the second conductivity target value can effectively improve the accuracy of the dirtiness information, thereby improving the accuracy of the detection results of the dirtiness detection module. Furthermore, upon controlling the sweeping robot to clean based on the detection results, the cleaning effect of the sweeping robot can be effectively improved, thereby improving the user experience.
In some embodiments, after determining the dirtiness information, the method for controlling the docking station further includes: controlling the docking station to send out a dirtiness information prompt.
In some embodiments, when the dirtiness information is determined, the docking station is controlled to send out the dirtiness information prompt, for example, by voice broadcast or by lighting an indicator light, so that the user can perform subsequent operations according to the prompt. For example, when the indicator light is green, the user is prompted to end the operation of the cleaning device; when the indicator light flashes red, the user is prompted to rewash the cleaning cloth on the cleaning device.
In some embodiments, the method for controlling the docking station further includes: determine a cleaning strategy based on the dirtiness information.
In some embodiments, the cleaning strategy may be, for example, a strategy for cleaning the ground with the cleaning device 2, or a strategy for the docking station to clean the cleaning cloth on the cleaning device 2. Determining the cleaning strategy based on the dirtiness information enables the implementation of different cleaning strategies based on different dirtiness conditions. In this way, on the one hand, it can further improve the cleaning effect and avoid incomplete cleaning due to excessive dirt on the ground. On the other hand, it can also effectively save energy and avoid the waste of water resources and electricity caused by excessive cleaning.
In some embodiments, the cleaning strategy includes whether to rewash the cleaning cloth, the number of rewashes of the cleaning cloth, whether to re-mop and/or an area to be re-mopped. In this way, the cleaning effect on the cleaning cloth and the ground can be effectively improved, thereby further improving the user experience.
In some embodiments, the cleaning strategy is determined based on the dirtiness information in the following manner.
Based on the target dirtiness value and first preset configuration information, it is determined whether to rewash the cleaning cloth and the number of rewashes of the cleaning cloth. The first preset configuration information is indicative of a correspondence between dirtiness value ranges and whether to rewash the cleaning cloth and the number of rewashes. For example, the absolute value of the difference between the first conductivity target value and the second conductivity target value is taken as the target dirtiness value. When the target dirtiness value is less than or equal to 300 s/m, there is no need to clean the cleaning cloth. When the target dirtiness value is greater than 300 s/m and less than or equal to 400 s/m, the cleaning cloth is rewashed once. When the target dirtiness value is greater than 400 s/m and less than or equal to 500 s/m, the cleaning cloth is rewashed twice. Accordingly, the greater the dirtiness value, the greater the number of rewashes.
In this way, the intelligent judgment of rewashing the cleaning cloth can be realized, which can not only improve the cleanliness of the cleaning cloth, but also effectively save energy.
In some embodiments, the cleaning strategy may also be determined based on the dirtiness information in the following manner.
Based on the target dirtiness value and second preset configuration information, it is determined whether to re-mop and the area to be re-mopped. The second preset configuration information is indicative of a correspondence between dirtiness value ranges and whether to re-mop and percentages of the area to be re-mopped to a previously mopped area. For example, the absolute value of the difference between the first conductivity target value and the second conductivity target value is used as the target dirtiness value. When the target dirtiness value is less than or equal to 300 s/m, there is no need to re-mop. When the target dirtiness value is greater than 300 s/m and less than or equal to 400 s/m, the ground is to be re-mopped, and the area to be re-mopped may account for 20% of the previously mopped area. When the target dirtiness value is greater than 400 s/m and less than or equal to 500 s/m, the ground is to be re-mopped, and the area to be re-mopped may account for 40% of the previously mopped area. The greater the dirtiness value, the greater the corresponding percentage. It should be noted that the percentage of the area to be re-mopped to the previously mopped area is the percentage of, along the path from the beginning to the end of the previous mopping, the area to be re-mopped from back to front accounts for the previously mopped area. For example, when referring to that the area to be re-mopped accounts for 20% of the previously mopped area, the 20% area is the last 20% of the previously mopped area.
In this way, intelligent judgment of the ground mopping area can be realized, which can not only improve the ground cleaning effect, but also save energy.
In some embodiments, the method for controlling the docking station further includes a following step: determining a cumulative mopping time of the cleaning cloth since a previous cleaning.
In this step, when the cleaning cloth is cleaned, the cleaning device 2 drives out of the docking station, and the timing starts. The timing ends until the cleaning device 2 returns to the docking station again, thereby determining the cumulative mopping time. After the cleaning device 2 returns to the docking station, the cleaning cloth on the cleaning device 2 is cleaned again. For example, the longer the cumulative mopping time, the higher the degree of dirtiness of the cleaning cloth; and the shorter the cumulative mopping time, the lower the degree of dirtiness of the cleaning cloth.
In some embodiments, the cleaning strategy may also be determined based on the dirtiness information in the following manner.
Based on the target dirtiness value and third preset configuration information, it is determined whether to re-mop and the area to be re-mopped. The third preset configuration information is indicative of a correspondence between dirtiness value ranges, time length ranges and whether to re-mop, percentages of the area to be re-mopped to the previously mopped area.
Within the same time range, the greater the dirtiness value, the greater the corresponding percentage. For example, the absolute value of the difference between the first conductivity target value and the second conductivity target value is used as the target dirtiness value. When the cumulative time range of the cleaning cloth after the previous cleaning is the same as a time range in the third preset configuration information, and when the target dirtiness value is less than or equal to 300 s/m, there is no need to re-mop the ground. When the target dirtiness value is greater than 300 s/m and less than or equal to 400 s/m, the ground is to be re-mopped, and the area to be re-mopped may account for 20% of the previously mopped area. When the target dirtiness value is greater than 400 s/m and less than or equal to 500 s/m, the ground is to be re-mopped, and the area to be re-mopped may account for 40% of the previously mopped area. Accordingly, within the same time range, the greater the dirtiness value, the greater the dirtiness degree of the cleaning cloth, thereby indicating the greater dirtiness degree of the ground. Therefore, the area that needs to be re-mopped accounts for the greater percentage of the previously mopped area.
Within the same dirtiness value range, the longer the time length, the smaller the corresponding percentage. For example, the absolute value of the difference between the first conductivity target value and the second conductivity target value is used as the target dirtiness value. When the target dirtiness value range is the same as a dirtiness value range in the third preset configuration information, and when the cumulative mopping time of the cleaning cloth after the previous cleaning is greater than or equal to 10 minutes, there is no need to re-mop the ground. When the cumulative mopping time of the cleaning cloth after the previous cleaning is greater than or equal to 8 minutes and less than 10 minutes, the ground is to be re-mopped, and the area to be re-mopped may account for 20% of the previously mopped area. When the cumulative mopping time of the cleaning cloth after the previous cleaning is greater than or equal to 6 minutes and less than 8 minutes, the ground is to be re-mopped, and the area to be re-mopped may account for 40% of the previously mopped area. Accordingly, within the same dirtiness value range, the longer the time length, the lower the dirtiness degree of the ground, and thus the area that needs to be re-mopped accounts for the smaller percentage of the previously mopped area.
In this way, intelligent judgment of the ground mopping area can also be realized, which can not only improve the ground cleaning effect, but also save energy.
Some embodiments of this disclosure provide an apparatus for controlling the docking station as described above, which is configured to implement the method for controlling the docking station as described above. As shown in
The first obtaining module 100 is configured to obtain at least one first conductivity detection value of the clean water path.
The second obtaining module 200 is configured to obtain at least one second conductivity detection value of the wastewater path.
The determining module 300 is configured to determine the dirtiness information based on the at least one first conductivity detection value and the at least one second conductivity detection value.
In some embodiments, the determining module 300 is specifically configured to determine the first conductivity target value based on at least one first conductivity detection value; determine the second conductivity target value based on at least one second conductivity detection value; determine the ratio or the absolute value of difference between the first conductivity target value and the second conductivity target value as the target dirtiness value, and determine the target dirtiness value as the dirtiness information.
Some embodiments of this disclosure provide cleaning equipment. The cleaning equipment includes a docking station and a cleaning device matching with each other. The cleaning device may be, for example, a sweeping robot.
As shown in
The processing component 402 generally controls the overall operation of the cleaning equipment 400, such as operations associated with water supplying, dirt discharging, data communication, cleaning and the like. The processing component 402 may include one or more processors 420 to execute instructions to perform all or some of the steps of the methods described above. Additionally, the processing component 402 may include one or more modules that facilitate interaction between the processing component 402 and other components. For example, the processing component 402 may include a multimedia module to facilitate interaction between the multimedia component 408 and the processing component 402.
The memory 404 is configured to store various types of data to support operation at the cleaning equipment 400. Examples of such data include instructions for any application or method operating on the cleaning equipment 400, such as a driving route of the sweeping robot. The memory 404 may be implemented by any type of volatile or non-volatile storage device or combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
The power component 406 provides power to various components of the cleaning equipment 400. The power components 406 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to the cleaning equipment 400.
The multimedia component 408 includes a screen that provides an output interface between the cleaning equipment 400 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touch, swipe, and gestures on the touch panel. The touch sensor may not only sense the boundaries of a touch or swipe action, but also detect the duration and pressure associated with the touch or swipe action.
The audio component 410 is configured to output and/or input audio signals. For example, the audio component 410 includes a microphone (MIC) that is configured to receive external audio signals when the cleaning equipment 400 is in operating modes, such as cleaning mode and water supplying mode. The received audio signal may be further stored in the memory 404 or transmitted via the communication component 416. In some embodiments, the audio component 410 also includes a speaker for outputting audio signals.
The I/O interface 412 provides an interface between the processing component 402 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to: home button, volume buttons, start button, and lock button.
The sensor assembly 414 includes one or more sensors for providing status assessments of various aspects of the cleaning equipment 400. For example, the sensor assembly 414 can detect the open/closed state of the cleaning equipment 400. The sensor assembly 414 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 414 may also include a light sensor, such as a CMOS or CCD image sensor, for use during the cleaning. In some embodiments, the sensor assembly 414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 416 is configured to facilitate wired or wireless communication between the cleaning equipment 400 and other devices. The cleaning equipment 400 may access wireless networks based on communication standards, such as WiFi, 2G, 3G, 4G, 5G or a combination thereof. In some embodiments, the communication component 416 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In some embodiments, the communication component 416 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
In some embodiments, the cleaning equipment 400 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic component, which are configured to perform the forgoing methods.
In some embodiments, there is also provided a non-transitory computer-readable storage medium, such as the memory 404 including instructions executable by the processor 420 of the cleaning equipment 400 to perform the method described above. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like. When the instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to perform the method shown in the forgoing embodiments.
Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or techniques in the technical field not disclosed by this disclosure. The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that this disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of this disclosure is limited only by the appended claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 202311630203.4 | Nov 2023 | CN | national |
