Ambient environment analysis method and air purifier

By integrating the surrounding environment analysis method in the air purifier and dynamically adjusting the purification strategy, the existing air purifiers have solved the problems of high operating noise, high usage cost and high energy consumption, and improved the convenience of use and the degree of humanization.

CN119474760AInactive Publication Date: 2025-02-18北京三五二环保科技有限公司
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Patent Information

Application Number
CN202510058172.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-14
Publication Date
2025-02-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing air purifiers cannot automatically adjust the purification strategy according to the surrounding environment, especially when there are children, the elderly and pets in the family, which is inconvenient to use.

Method used

Through an ambient environment analysis method, the air cleanliness value within the coverage range is obtained, and the cruise route is determined based on the air cleanliness value for moving purification. During the mobile purification process, image data of the surrounding environment is obtained, feature objects are extracted and their behavior is judged, thereby dynamically adjusting the purification strategy.

Benefits of technology

It reduces the number of equipment, improves the convenience of use and the degree of humanization, adapts to different environments and user needs, and reduces operating noise and energy consumption.

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Abstract

The invention relates to a surrounding environment analysis method and an air purifier. The method comprises the following steps: acquiring an air cleanliness value in a coverage range or acquiring an air cleanliness value of a sensor existing in the coverage range; a cruise route is determined according to the air cleanliness value, and mobile purification is conducted within the coverage range according to the cruise route; image data in the surrounding environment are obtained in the mobile purification process, and feature objects in the image data are extracted, wherein the feature objects comprise character objects and non-character objects; and judging behaviors of the feature object and determining a purification strategy according to the behaviors of the feature object. According to the ambient environment analysis method and the air purifier, a proper purification strategy can be selected by analyzing the ambient environment, and by means of the mode, the use convenience and the humanization degree are improved while the number of devices is reduced.
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Description

Technical Field

[0001] The present application relates to the field of smart home technology, and in particular to a surrounding environment analysis method and an air purifier. Background Art

[0002] At present, air purifiers have become a very common household appliance in our lives. Many families are paying more and more attention to indoor air quality. Air purifiers are used to remove formaldehyde in new houses. Households with larger areas will even have one in every room. Although the air quality has indeed improved, many problems have also arisen, such as loud operating noise, high operating costs and high energy consumption.

[0003] In addition, the air purifier in this deployment mode cannot select the appropriate purification mode according to the surrounding environment, especially for families with children, elderly people and pets, and needs to be frequently adjusted during use, causing certain inconveniences. Summary of the invention

[0004] The present application provides an ambient environment analysis method and an air purifier, which can select a suitable purification strategy by analyzing the ambient environment. This method reduces the number of devices while improving the convenience and humanization of use.

[0005] The above-mentioned purpose of the present application is achieved through the following technical solutions: In a first aspect, the present application provides a surrounding environment analysis method, comprising: Obtaining the air cleanliness value within the coverage area or obtaining the air cleanliness value of the sensor within the coverage area; Determine the cruise route based on the air cleanliness value and perform mobile purification within the coverage area according to the cruise route; During the mobile purification process, image data of the surrounding environment is acquired and feature objects in the image data are extracted, wherein the feature objects include human objects and non-human objects; Determine the behavior of the feature object and determine the purification strategy based on the behavior of the feature object.

[0006] In a possible implementation manner of the first aspect, obtaining an air cleanliness value within a coverage area and determining a cruise route according to the air cleanliness value includes: Divide the coverage area into multiple independent purification areas; At least one first data collection point is set in each independent purification area; A cruise route is generated according to the first data collection points, and each first data collection point is located on the cruise route.

[0007] In a possible implementation of the first aspect, when the surrounding environment of the first data collection point changes, the first data collection point whose surrounding environment remains unchanged is removed on the cruise route; The change in the surrounding environment of the first data collection point includes the appearance of a feature object at the first data collection point.

[0008] In a possible implementation manner of the first aspect, when the air cleanliness values ​​at the first data collection points on the cruise route are all within a normal range, all the first data collection points of the independent purification area are included in the cruise route.

[0009] In a possible implementation manner of the first aspect, determining the behavior of the feature object includes: Setting a second data collection point according to the location of the feature object, wherein the number of the second data collection point is at least one; The behavior of the feature object at each second data collection point is obtained, where the behavior includes influencing behavior and non-influencing behavior.

[0010] In a possible implementation manner of the first aspect, the method further includes: When the behavior of the characteristic object includes an influencing behavior, a continuous purification strategy is configured for the location where the influencing behavior is located until the influencing behavior disappears and the air cleanliness value at the location where the influencing behavior is located returns to normal; When the behaviors of the characteristic object include only non-influencing behaviors, an intermittent purification strategy is configured for the location of the non-influencing behaviors.

[0011] In a possible implementation of the first aspect, when executing the purification strategy, image data at the second data acquisition point is continuously or intermittently acquired, and when an influencing behavior appears in the image data, the intermittent purification strategy at the second data acquisition point corresponding to the influencing behavior is replaced with a continuous purification strategy.

[0012] In a second aspect, the present application provides a surrounding environment analysis device, comprising: A data acquisition unit, used to acquire the air cleanliness value within the coverage area or acquire the air cleanliness value of the sensor within the coverage area; A purification processing unit is used to determine a cruise route according to the air cleanliness value and to perform mobile purification within the coverage area according to the cruise route; A continuous detection unit, used to obtain image data in the surrounding environment and extract characteristic objects in the image data during the mobile purification process, wherein the characteristic objects include human objects and non-human objects; The strategy allocation unit is used to judge the behavior of the feature object and determine the purification strategy according to the behavior of the feature object.

[0013] In a third aspect, the present application provides an air purifier, the air purifier comprising: one or more memories for storing instructions; and One or more processors, used to call and run the instructions from the memory to execute the method as described in the first aspect and any possible implementation of the first aspect.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium comprises: Program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0015] In a fifth aspect, the present application provides a computer program product, comprising program instructions. When the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0016] In a sixth aspect, the present application provides a chip system, which includes a processor for implementing the functions involved in the above aspects, for example, generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0017] The chip system may be composed of chips, or may include chips and other discrete devices.

[0018] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wired or wireless means, or the processor and the memory can also be coupled on the same device. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic flowchart of the steps of a surrounding environment analysis method provided in this application.

[0020] Figure 2 This is a schematic diagram of a method of providing air cleanliness values ​​within a coverage range provided by this application.

[0021] Figure 3 This is another schematic diagram of the air cleanliness value within the coverage range provided by the present application.

[0022] Figure 4 This is a path diagram provided by the present application for determining a cruise route and moving according to the cruise route.

[0023] Figure 5 This is a schematic diagram provided by the present application for generating a moving path based on two data collection points. DETAILED DESCRIPTION

[0024] The technical solution in this application is further described in detail below in conjunction with the accompanying drawings.

[0025] This application discloses a method for analyzing the surrounding environment. Figure 1 The surrounding environment analysis method disclosed in this application comprises the following steps: S101, obtaining an air cleanliness value within a coverage area or obtaining an air cleanliness value of a sensor within the coverage area; S102, determining a cruise route according to the air cleanliness value and performing mobile purification within the coverage area according to the cruise route; S103, acquiring image data in the surrounding environment during mobile purification and extracting feature objects in the image data, wherein the feature objects include human objects and non-human objects; S104, judging the behavior of the feature object and determining a purification strategy according to the behavior of the feature object.

[0026] First of all, it needs to be explained that the surrounding environment analysis method disclosed in the present application is based on a movable air sensor. The movable air sensor is mainly composed of four parts: a mobile chassis, an air purifier, a sensor and a controller. The air purifier is installed on the mobile chassis, and the sensor and the controller are installed on the mobile chassis or the air purifier.

[0027] In step S101, the air purifier first obtains the air cleanliness value within the coverage area or obtains the air cleanliness value of the sensor within the coverage area, see Figure 2 The way to obtain the air cleanliness value within the coverage area is to cruise within the coverage area and rely on the sensors carried by the user to obtain data. Please refer to Figure 3 ,The way of acquiring the air cleanliness value of the sensor existing within the ,coverage range is to communicate with the sensor and obtain the air cleanliness value detected by the sensor.

[0028] In step S102, a cruise route is determined according to the air cleanliness value and mobile purification is performed within the coverage area according to the cruise route. Figure 4 As shown by the dotted line in , the method of determining the cruise route according to the air cleanliness value here is to first determine the areas that need to be purified according to the air cleanliness value, and then connect these areas in sequence to obtain the cruise route.

[0029] The corresponding scenario here is that there are no feature objects in the coverage area. In step S103, the air purifier obtains image data of the surrounding environment during the mobile purification process and extracts feature objects in the image data. The feature objects are divided into two categories, namely human objects and non-human objects.

[0030] When there is a characteristic object in the surrounding environment, step S104 is executed, in which the behavior of the characteristic object is judged and a purification strategy is determined according to the behavior of the characteristic object. That is, when the characteristic object appears, the environment in which the characteristic object is located is processed first.

[0031] The specific method of obtaining the air cleanliness value within the coverage area and determining the cruise route according to the air cleanliness value is: S201, dividing the coverage area into regions to obtain multiple independent purification regions; S202, setting at least one first data collection point in each independent purification area; S203, generating a cruise route according to the first data collection points, where each first data collection point is located on the cruise route.

[0032] When the surrounding environment of the first data collection point changes, the first data collection point whose surrounding environment remains unchanged is removed on the cruise route. At this time, the change in the surrounding environment of the first data collection point refers to the appearance of a feature object in the surrounding environment. At this time, the first data collection point whose surrounding environment remains unchanged will be removed on the cruise route. That is, as recorded in the previous article, when a feature object appears, the environment in which the feature object is located will be processed first.

[0033] When the air cleanliness values ​​at the first data collection points on the cruise route are all within the normal range, all the first data collection points of the independent purification area will be re-incorporated into the cruise route.

[0034] In some examples, the specific way to determine the behavior of a feature object is: S301, setting a second data collection point according to the location of the feature object, the number of the second data collection point is at least one; S302, obtaining the behavior of the feature object at each second data collection point, where the behavior includes influencing behavior and non-influencing behavior.

[0035] See also Figure 5 In step 301 and step S302, a second data collection point is set according to the location of the feature object, because the location of the feature object may conflict with the first data collection point at this time, and then the behavior of the feature object at each second data collection point is obtained at the second data collection point, and the behavior includes influencing behavior and non-influencing behavior.

[0036] It should be noted here that the second data collection point will change according to the location of the feature object, that is, when the location of the feature object changes, the second data collection point will also move accordingly.

[0037] When the behavior of the characteristic object includes an influencing behavior, a continuous purification strategy is configured for the location where the influencing behavior is located until the influencing behavior disappears and the air cleanliness value at the location where the influencing behavior is located returns to normal; When the behaviors of the characteristic object include only non-influencing behaviors, an intermittent purification strategy is configured for the location of the non-influencing behaviors.

[0038] The way to determine influencing behavior and non-influencing behavior refers to whether the behavior has a direct impact on the surrounding environment, such as smoking and pets' toileting behavior, etc., and of course it can also be user-defined behavior.

[0039] Of course, when executing the purification strategy, it is also necessary to continuously or intermittently obtain image data at the second data collection point. When an influencing behavior appears in the image data, the intermittent purification strategy at the second data collection point corresponding to the influencing behavior is replaced with a continuous purification strategy.

[0040] The present application also provides a surrounding environment analysis device, comprising: A data acquisition unit, used to acquire the air cleanliness value within the coverage area or acquire the air cleanliness value of the sensor within the coverage area; A purification processing unit is used to determine a cruise route according to the air cleanliness value and to perform mobile purification within the coverage area according to the cruise route; A continuous detection unit, used to obtain image data in the surrounding environment and extract characteristic objects in the image data during the mobile purification process, wherein the characteristic objects include human objects and non-human objects; The strategy allocation unit is used to judge the behavior of the feature object and determine the purification strategy according to the behavior of the feature object.

[0041] Further, obtaining the air cleanliness value within the coverage area and determining the cruise route according to the air cleanliness value includes: Divide the coverage area into multiple independent purification areas; At least one first data collection point is set in each independent purification area; A cruise route is generated according to the first data collection points, and each first data collection point is located on the cruise route.

[0042] Further, when the surrounding environment of the first data collection point changes, the first data collection point whose surrounding environment remains unchanged is removed on the cruise route; The change in the surrounding environment of the first data collection point includes the appearance of a feature object at the first data collection point.

[0043] Furthermore, when the air cleanliness values ​​at the first data collection points on the cruise route are all within a normal range, all the first data collection points of the independent purification area are incorporated into the cruise route.

[0044] Furthermore, the behavior of determining the feature object includes: Setting a second data collection point according to the location of the feature object, wherein the number of the second data collection point is at least one; The behavior of the feature object at each second data collection point is obtained, where the behavior includes influencing behavior and non-influencing behavior.

[0045] Furthermore, it also includes: When the behavior of the characteristic object includes an influencing behavior, a continuous purification strategy is configured for the location where the influencing behavior is located until the influencing behavior disappears and the air cleanliness value at the location where the influencing behavior is located returns to normal; When the behaviors of the characteristic object include only non-influencing behaviors, an intermittent purification strategy is configured for the location of the non-influencing behaviors.

[0046] Furthermore, when executing the purification strategy, image data at the second data collection point is continuously or intermittently acquired, and when an influencing behavior appears in the image data, the intermittent purification strategy at the second data collection point corresponding to the influencing behavior is replaced with a continuous purification strategy.

[0047] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0048] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0049] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0050] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0051] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0052] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0053] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0054] It should also be understood that in various embodiments of the present application, the first, second, etc. are only used to indicate that multiple objects are different. For example, the first time window and the second time window are only used to indicate different time windows. They should not have any impact on the time window itself, and the first, second, etc. mentioned above should not impose any limitations on the embodiments of the present application.

[0055] It should also be understood that in the various embodiments of the present application, unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0056] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a computer-readable storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0057] The present application also provides an air purifier, the air purifier comprising: one or more memories for storing instructions; and One or more processors are used to call and run the instructions from the memory to execute the method as described above.

[0058] The present application also provides a computer program product, which includes instructions. When the instructions are executed, the terminal device and the network device perform operations of the terminal device and the network device corresponding to the above method.

[0059] The present application also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0060] The chip system may be composed of chips, or may include chips and other discrete devices.

[0061] The processor mentioned in any of the above places can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing programs for controlling the above-mentioned feedback information transmission method.

[0062] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wire or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

[0063] Optionally, the computer instructions are stored in a memory.

[0064] Optionally, the memory is a storage unit within the chip, such as a register, a cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as a ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0065] It can be understood that the memory in the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0066] The nonvolatile memory may be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory.

[0067] The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct memory bus RAM.

[0068] The embodiments of this specific implementation method are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, all equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for analyzing surrounding environment, characterized in that: include: Obtaining the air cleanliness value within the coverage area or obtaining the air cleanliness value of the sensor within the coverage area; Determine the cruise route based on the air cleanliness value and perform mobile purification within the coverage area according to the cruise route; During the mobile purification process, image data of the surrounding environment is acquired and feature objects in the image data are extracted, wherein the feature objects include human objects and non-human objects; Determine the behavior of the feature object and determine the purification strategy based on the behavior of the feature object.

2. The surrounding environment analysis method according to claim 1, characterized in that: Obtaining the air cleanliness value within the coverage area and determining the cruise route according to the air cleanliness value includes: Divide the coverage area into multiple independent purification areas; At least one first data collection point is set in each independent purification area; A cruise route is generated according to the first data collection points, and each first data collection point is located on the cruise route.

3. The surrounding environment analysis method according to claim 2, characterized in that: When the surrounding environment of the first data collection point changes, the first data collection point whose surrounding environment remains unchanged is removed from the cruise route; The change in the surrounding environment of the first data collection point includes the appearance of a feature object at the first data collection point.

4. The surrounding environment analysis method according to claim 3, characterized in that: When the air cleanliness values ​​at the first data collection points on the cruise route are all within a normal range, all the first data collection points of the independent purification area are incorporated into the cruise route.

5. The surrounding environment analysis method according to claim 1, characterized in that: The behaviors of judging feature objects include: Setting a second data collection point according to the location of the feature object, wherein the number of the second data collection point is at least one; The behavior of the feature object at each second data collection point is obtained, where the behavior includes influencing behavior and non-influencing behavior.

6. The surrounding environment analysis method according to claim 5, characterized in that: Also includes: When the behavior of the characteristic object includes an influencing behavior, a continuous purification strategy is configured for the location where the influencing behavior is located until the influencing behavior disappears and the air cleanliness value at the location where the influencing behavior is located returns to normal; When the behaviors of the characteristic object include only non-influencing behaviors, an intermittent purification strategy is configured for the location of the non-influencing behaviors.

7. The surrounding environment analysis method according to claim 5, characterized in that: When executing the purification strategy, the image data at the second data collection point is continuously or intermittently acquired. When an influencing behavior appears in the image data, the intermittent purification strategy at the second data collection point corresponding to the influencing behavior is replaced with a continuous purification strategy.

8. A surrounding environment analysis device, characterized in that: include: A data acquisition unit, used to acquire the air cleanliness value within the coverage area or acquire the air cleanliness value of the sensor within the coverage area; A purification processing unit is used to determine a cruise route according to the air cleanliness value and to perform mobile purification within the coverage area according to the cruise route; A continuous detection unit, used to obtain image data in the surrounding environment and extract characteristic objects in the image data during the mobile purification process, wherein the characteristic objects include human objects and non-human objects; The strategy allocation unit is used to judge the behavior of the feature object and determine the purification strategy according to the behavior of the feature object.

9. An air purifier, characterized in that: The air purifier comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium comprises: The program, when the program is executed by a processor, the method according to any one of claims 1 to 7 is executed.

Citation Information

Patent Citations

  • Indoor environment detection result processing method, device and system, and processor

    CN107728484A

  • Intelligent air purifying device and control method thereof

    CN110686335A