CN111067428A - Cleaning method, storage medium and cleaning equipment - Google Patents
Cleaning method, storage medium and cleaning equipment Download PDFInfo
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- CN111067428A CN111067428A CN201911344419.8A CN201911344419A CN111067428A CN 111067428 A CN111067428 A CN 111067428A CN 201911344419 A CN201911344419 A CN 201911344419A CN 111067428 A CN111067428 A CN 111067428A
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/24—Floor-sweeping machines, motor-driven
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
- A47L11/4011—Regulation of the cleaning machine by electric means; Control systems and remote control systems therefor
Abstract
The invention discloses a cleaning method, a storage medium and cleaning equipment, and relates to the technical field of cleaning, wherein the method comprises the following steps: acquiring environmental information of an area to be cleaned; determining the pollution type of the area to be cleaned and the pollution grade under the pollution type according to the environmental information; and acquiring a control instruction matched with the pollution type and the pollution grade from a preset database, and controlling a cleaning device to clean the area to be cleaned according to the control instruction. The invention has the beneficial effects that: the corresponding cleaning mode can be formulated according to the pollution condition of the area to be cleaned so as to carry out targeted cleaning, and the cleaning effect can be greatly improved.
Description
Technical Field
The invention belongs to the technical field of cleaning, and particularly relates to a cleaning method, a storage medium and cleaning equipment.
Background
Along with the improvement of living standard of people, intelligent products used by people are more and more. The intelligent cleaning equipment can automatically clean the environment, can reduce the working intensity of a user and save the time of the user, and is popular among the users. However, the existing intelligent cleaning devices generally have one or more fixed working modes. If one mode of operation is used for cleaning for different types of contamination, the cleaning effect is compromised. Accordingly, there is a need for improvements to existing cleaning methods.
Disclosure of Invention
The present invention is based on the above technical problem, and provides a cleaning method, a storage medium, and a cleaning apparatus capable of performing targeted cleaning according to the type and grade of contamination of an area to be cleaned.
In a first aspect, an embodiment of the present invention provides a cleaning method, including:
acquiring environmental information of an area to be cleaned;
determining the pollution type of the area to be cleaned and the pollution grade under the pollution type according to the environmental information;
and acquiring a control instruction matched with the pollution type and the pollution grade from a preset database, and controlling a cleaning device to clean the area to be cleaned according to the control instruction.
According to one embodiment of the present invention, the environment information includes environment image information;
determining the pollution type of the area to be cleaned and the pollution level under the pollution type according to the environmental information, wherein the pollution type comprises the following steps:
identifying pollutants in the environment image information by using an image identification model, and determining the pollution type of the area to be cleaned according to an identification result; and
and calculating the size of the pollutant in the environment image information, and determining the pollution level corresponding to the pollution type according to the size of the pollutant.
Further, the image recognition model is constructed by the following steps:
performing machine learning training on an image recognition model to be trained by utilizing a plurality of groups of training data to obtain the image recognition model; wherein each of the plurality of sets of training data includes a pollutant picture and a pollution type corresponding to the pollutant picture.
According to another embodiment of the present invention, the environmental information includes information on a kind of a microorganism and information on a quantity of the microorganism;
determining the pollution type of the area to be cleaned and the pollution level under the pollution type according to the environmental information, wherein the pollution type comprises the following steps:
determining the pollution type of the area to be cleaned according to the type information of the microorganisms; and
and determining the pollution level of the area to be cleaned according to the quantity information of the microorganisms.
Further, the database is constructed by the steps of:
acquiring cleaning modes corresponding to different pollution types respectively and parameter values correspondingly set in the same cleaning mode under different pollution levels;
and correlating the pollution type, the pollution level and the cleaning mode, and generating corresponding control instructions to construct the database.
Further, after controlling the cleaning device to clean the area to be cleaned according to the control command, the method further comprises the following steps:
acquiring environment information of a cleaned area to be cleaned;
determining the residual degree of pollutants in the cleaned area to be cleaned according to the environment information of the cleaned area to be cleaned;
and adjusting the parameter value in the cleaning mode in the control instruction according to the residual degree of the pollutants to obtain the adjusted control instruction.
In a second aspect, an embodiment of the present invention provides a storage medium having program code stored thereon, which when executed by a processor, implements a cleaning method as described in any one of the above embodiments.
In a third aspect, an embodiment of the present invention provides a cleaning apparatus, including an environment detection device, a memory, a controller, and a cleaning device, wherein:
the environment detection device is used for acquiring environment information of an area to be cleaned;
the controller is used for executing a program code which is stored in the memory and used for realizing the cleaning method in any one of the above embodiments according to the environment information collected by the environment detection device, and outputting a corresponding control instruction;
the cleaning device is used for cleaning the area to be cleaned according to the control instruction output by the controller.
Further, the environment detection device comprises a camera, and the camera is used for acquiring environment image information of the area to be cleaned so as to take the environment image as the environment information.
Further, the environment detection device includes a microorganism detection device for acquiring the kind information of the microorganisms and the number information of the microorganisms in the area to be cleaned, so as to take the kind information of the microorganisms and the number information of the microorganisms as the environment information.
According to the cleaning method, the storage medium and the cleaning equipment provided by the embodiment of the invention, the pollution type of the area to be cleaned and the pollution grade under the pollution type are determined according to the environmental information of the area to be cleaned, the control instruction matched with the pollution type and the pollution grade is obtained in the preset database, and the cleaning device is controlled to clean the area to be cleaned according to the control instruction, so that the environmental cleaning can be carried out in a targeted manner according to the pollution condition of the environment. Therefore, the cleaning method provided by the embodiment of the invention can be used for formulating a corresponding cleaning mode according to the pollution condition of the area to be cleaned so as to carry out targeted cleaning, and the cleaning effect can be greatly improved.
Drawings
The scope of the present disclosure may be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. Wherein the included drawings are:
FIG. 1 is a schematic flow chart of a cleaning method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a cleaning method according to a second embodiment of the present invention;
FIG. 3 shows a detailed flow chart of step 220 shown in FIG. 2;
FIG. 4 shows another detailed flow chart of step 220 shown in FIG. 2;
FIG. 5 is a flow chart illustrating adjustment of control commands according to a second embodiment of the present invention;
fig. 6 shows a flow chart of kitchen cleaning according to the second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the following will describe in detail an implementation method of the present invention with reference to the accompanying drawings and embodiments, so that how to apply technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Example one
According to an embodiment of the present invention, there is provided a cleaning method, which may be applied to a controller of a cleaning apparatus, the cleaning apparatus may further include an environment detection device for acquiring environmental information of an area to be cleaned and a cleaning device for cleaning, wherein the environment detection device and the cleaning device are respectively connected to the controller.
Fig. 1 is a schematic flow chart of a cleaning method according to an embodiment of the present invention, and as shown in fig. 1, the cleaning method may include: step 110 to step 130.
In step 110, environmental information of the area to be cleaned is acquired.
Here, the area to be cleaned refers to an area that a user wants to clean, and the area to be cleaned may include one or more. Taking kitchen cleaning as an example, the area to be cleaned may include areas such as a range hood, a cabinet, a cooking bench, and the ground. The environmental information of the area to be cleaned is collected by the environmental detection device, so that the controller determines the pollution type of the area to be cleaned and the pollution level under the pollution type according to the environmental information.
In step 120, according to the environmental information, a pollution type of the area to be cleaned and a pollution level under the pollution type are determined.
Here, the type of contamination of the area to be cleaned may include dust contamination, water contamination, oil contamination, bacterial contamination, fungal contamination or other foreign matter contamination. For example, when water stains are detected from the environmental information of the area to be cleaned, it may be determined that the type of contamination of the area to be cleaned is water stain contamination. And determining the pollution level corresponding to the water stain pollution by checking the area of the water stain.
In step 130, a control instruction matching the pollution type and the pollution level is obtained from a preset database, and a cleaning device is controlled to clean the area to be cleaned according to the control instruction.
Here, the preset database includes a plurality of control instructions, and the control instructions are used to instruct the cleaning device to switch to a corresponding cleaning mode and determine a parameter value of the cleaning mode, so as to control the cleaning device to clean the area to be cleaned.
For example, cleaning water stain pollution, switching to a cleaning mode for cleaning water stains to clean the water stains; and cleaning bacterial contamination, and switching to a cleaning mode for cleaning bacteria to kill the bacteria in the target detection area.
In the present embodiment, as shown in table 1, 15 cases can be classified according to a specific pollution type and different pollution levels under the same pollution type. Of course, these 15 cases are used to illustrate the above embodiments, and may be classified into other types or levels of contamination in specific implementations.
TABLE 1
In this embodiment, the pollution type of the area to be cleaned and the pollution level under the pollution type are determined according to the environmental information of the area to be cleaned, a control instruction matched with both the pollution type and the pollution level is acquired from a preset database, and a cleaning device is controlled to clean the area to be cleaned according to the control instruction. The corresponding cleaning mode can be formulated according to the pollution condition of the area to be cleaned so as to carry out targeted cleaning, and the cleaning effect can be greatly improved.
Example two
On the basis of the above embodiments, the second embodiment of the present invention may further provide a cleaning method. Fig. 2 is a schematic flow chart of a cleaning method according to a second embodiment of the present invention, and as shown in fig. 2, the cleaning method may include: step 210 to step 230.
In step 210, environmental information of the area to be cleaned is acquired.
Here, the area to be cleaned refers to an area that a user wants to clean, and the area to be cleaned may include one or more. Taking kitchen cleaning as an example, the area to be cleaned may include areas such as a range hood, a cabinet, a cooking bench, and the ground. The environmental information of the area to be cleaned is collected by the environmental detection device, so that the controller determines the pollution type of the area to be cleaned and the pollution level under the pollution type according to the environmental information.
In step 220, according to the environmental information, a pollution type of the area to be cleaned and a pollution level under the pollution type are determined.
Here, the type of contamination of the area to be cleaned may include dust contamination, water contamination, oil contamination, bacterial contamination, fungal contamination or other foreign matter contamination. For example, when water stains are detected from the environmental information of the area to be cleaned, it may be determined that the type of contamination of the area to be cleaned is water stain contamination. And determining the pollution level corresponding to the water stain pollution by checking the area of the water stain.
In step 230, a control command matching the pollution type and the pollution level is obtained from a preset database, and a cleaning device is controlled to clean the area to be cleaned according to the control command.
In an alternative embodiment, before step 210, the method further comprises the step of constructing the database, wherein the database is constructed by the following steps:
acquiring cleaning modes corresponding to different pollution types respectively and parameter values correspondingly set in the same cleaning mode under different pollution levels;
and correlating the pollution type, the pollution level and the cleaning mode, and generating corresponding control instructions to construct the database.
Here, cleaning patterns set corresponding to different contamination types are acquired. For example, water stain contamination corresponds to a cleaning mode that is dedicated to cleaning water stains; bacterial contamination corresponds to a cleaning mode specifically used for cleaning bacteria; fungal contamination corresponds to a cleaning mode specifically used to clean the fungus. In the same pollution type, due to different pollution grades, the parameter values of the cleaning modes corresponding to the same pollution type are different. The length of time for a heavily soiled cleaning will be longer and the cleaning intensity for a heavily soiled application will be greater. Therefore, it is necessary to determine the parameter values of the cleaning modes corresponding to the same pollution type under different pollution levels, so as to obtain a control command, which can refer to table 1.
Here, the preset database may include a plurality of control instructions, and the control instructions are used to instruct the cleaning device to switch to a corresponding cleaning mode and determine a parameter value of the cleaning mode, so as to control the cleaning device to clean the area to be cleaned. For example, cleaning water stain pollution, switching to a cleaning mode for cleaning water stains to clean the water stains; and cleaning bacterial contamination, and switching to a cleaning mode for cleaning bacteria to kill the bacteria in the target detection area.
In an alternative embodiment, fig. 3 shows a specific flowchart of step 220 shown in fig. 2, and as shown in fig. 3, when the environment information includes environment image information, in step 220, determining a contamination type of the area to be cleaned and a contamination level under the contamination type according to the environment information may include: step 2201 to step 2202.
In step 2201, the pollutants in the environment image information are identified by using an image identification model, and the pollution type of the area to be cleaned is determined according to the identification result.
Here, the environment image information refers to a picture of an area to be cleaned, which can be obtained by a camera. After the area to be cleaned is determined, the controller controls the camera to shoot the area to be cleaned so as to acquire the environment image information.
And then, identifying the pollutants in the environment image information by using an image identification model, thereby determining the pollution types according to the types of the pollutants. The image recognition model is a trained neural network model used for recognizing the pollution type. For example, if the image recognition model identifies water stains from the environmental image information of the area to be cleaned, it can be determined that the type of contamination of the area to be cleaned is water stain contamination.
In step 2202, the size of the pollutant in the environment image information is calculated, and the pollution level corresponding to the pollution type is determined according to the size of the pollutant.
Here, the size of the pollutant in the environment image information is calculated, and the actual size of the pollutant can be determined by calculating the area size or the volume size of the pollutant in the picture. The pollutants can comprise water stains, dust, oil stains or other impurities, and the pollution grade corresponding to the pollution type is determined according to the size of the pollutants. Wherein, different sizes of the same pollutant can be set in the database corresponding to different pollution levels. For example, the water stain with area size a is rated as one level of contamination, and the water stain with area size B is rated as two levels of contamination.
In an alternative embodiment, the image recognition model is constructed by:
performing machine learning training on an image recognition model to be trained by utilizing a plurality of groups of training data to obtain the image recognition model; wherein each of the plurality of sets of training data includes a pollutant picture and a pollution type corresponding to the pollutant picture.
Here, machine learning is performed by inputting a plurality of sets of training data into an image recognition model to be trained to obtain an image recognition model for performing contamination type classification. Wherein each set of training data comprises a pollutant picture and a pollution type corresponding to the pollutant picture. For example, a picture of water stain corresponds to water stain contamination, and a picture of oil stain corresponds to oil stain contamination.
It is worth noting that the construction of the image recognition model may be performed before step 210.
In another embodiment, fig. 4 shows another specific flowchart of step 220 shown in fig. 2, and as shown in fig. 4, when the environmental information includes information on a type of a microorganism and information on a quantity of the microorganism, the determining, in step 220, a contamination type of the area to be cleaned and a contamination level under the contamination type according to the environmental information may include: step 2211 to step 2212.
In step 2211, the type of contamination of the area to be cleaned is determined based on the information of the type of microorganism.
Here, the controller controls the environment detection device to acquire information on the kind of microorganisms and information on the number of microorganisms in the area to be cleaned. Specifically, an ATP fluorescence detector or a bacteria detector may be used to detect microorganisms in the area to be cleaned, so as to identify the type information of the microorganisms in the area to be cleaned and the number information of the microorganisms in the area to be cleaned. Thereby determining the type of contamination of the area to be cleaned based on the information on the type of the microorganisms. For example, if the kind of microorganism in the area to be cleaned is bacteria, the type of contamination in the area to be cleaned is bacterial contamination; the type of microorganism in the area to be cleaned is fungus, and the type of contamination in the area to be cleaned is fungal contamination.
In step 2212, a contamination level of the area to be cleaned is determined according to the information of the number of microorganisms.
Here, different numbers of microorganisms of the same type of contamination type correspond to different contamination levels. For example, if the predetermined number range [ 100, 150 ] corresponds to the contamination level a, the contamination level a may be determined when the number information of the microorganisms is 120.
In an optional implementation manner, fig. 5 shows a schematic flow chart of adjusting a control instruction according to a second embodiment of the present invention, as shown in fig. 5, after controlling a cleaning device to clean the area to be cleaned according to the control instruction in step 230, the method may further include: step 240 to step 260.
In step 240, environmental information of the cleaned area is acquired.
Here, after the area to be cleaned is correspondingly cleaned, the environmental information of the cleaned area to be cleaned is acquired again. The detailed process of acquiring the environment information has been described in detail in the above embodiments, and is not described herein again.
In step 250, the residual degree of the contaminants in the cleaned area is determined according to the environmental information of the cleaned area.
Here, the residual degree of the contaminants may include a residual degree of water stain, oil stain, and microorganisms. The residual degree of the contaminants is used for representing whether the corresponding cleaning mode cleans the area to be cleaned. For example, after the cleaning of the cleaning region is performed by using the bacteria cleaning mode, the bacteria residue of the cleaning region after cleaning is detected again, so as to determine whether the cleaning mode can be cleaned.
In step 260, a parameter value in the cleaning mode in the control instruction is adjusted according to the residual degree of the pollutant to obtain an adjusted control instruction.
Here, after the cleaning area is cleaned by using the bacterial cleaning mode, by detecting the bacterial residue of the cleaned area again, it is found that the bacterial residue in the area is still higher than the preset threshold, and it can be determined that the parameter value of the corresponding cleaning mode may not be suitable for the pollution condition. Therefore, the parameter value in the cleaning mode in the control command can be adjusted. For example, the sterilization intensity and the sterilization duration are increased, so that the corresponding control instructions in the database are adjusted. The parameter value of the cleaning mode can be adjusted by combining with the actual cleaning condition, so that the cleaning mode can be more suitable for the corresponding pollution condition.
The above embodiments are explained below by way of an example:
fig. 6 shows a schematic flow chart of kitchen cleaning according to a second embodiment of the present invention, and as shown in fig. 6, when a user cleans a to-be-cleaned area of a kitchen, the to-be-cleaned area may include sub-areas such as a table top, a cooking bench, a range hood, and a cupboard.
The controller controls the environment detection device to detect and identify each area of the kitchen so as to collect environment information. The controller receives the environmental information collected by the environmental detection device, so that the pollution type and the pollution level corresponding to each area are determined. And acquiring a control instruction corresponding to each area from the database according to the pollution type and the pollution level corresponding to each area. Then, the cleaning device receives the control command, and switches to the corresponding cleaning mode to clean the corresponding area.
EXAMPLE III
According to an embodiment of the present invention, there is also provided a storage medium having stored thereon program code which, when executed by a processor, implements a cleaning method as in any one of the above embodiments.
Example four
There is also provided, in accordance with an embodiment of the present invention, a cleaning apparatus including an environment detection device, a memory, a controller, and a cleaning device, wherein:
the environment detection device is used for acquiring environment information of an area to be cleaned;
the controller is used for executing a program code which is stored in the memory and used for realizing the cleaning method in any one of the above embodiments according to the environment information collected by the environment detection device, and outputting a corresponding control instruction;
the cleaning device is used for cleaning the area to be cleaned according to the control instruction output by the controller.
Further, the environment detection device comprises a camera, and the camera is used for acquiring environment image information of the area to be cleaned so as to take the environment image as the environment information.
Further, the environment detection device includes a microorganism detection device for acquiring the kind information of the microorganisms and the number information of the microorganisms in the area to be cleaned, so as to take the kind information of the microorganisms and the number information of the microorganisms as the environment information.
The technical scheme of the invention is explained in detail in the above with reference to the accompanying drawings, and considering that in the related art, a working mode is adopted for cleaning different types of pollution, and the cleaning effect is greatly reduced. The invention provides a cleaning method, a storage medium and cleaning equipment, wherein the pollution type of a region to be cleaned and the pollution grade under the pollution type are determined according to the environmental information of the region to be cleaned, a control instruction matched with the pollution type and the pollution grade is obtained in a preset database, and a cleaning device is controlled to clean the region to be cleaned according to the control instruction, so that the environment can be cleaned in a targeted manner according to the pollution condition of the environment. The corresponding cleaning mode can be formulated according to the pollution condition of the area to be cleaned so as to carry out targeted cleaning, and the cleaning effect can be greatly improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method of cleaning, comprising:
acquiring environmental information of an area to be cleaned;
determining the pollution type of the area to be cleaned and the pollution grade under the pollution type according to the environmental information;
and acquiring a control instruction matched with the pollution type and the pollution grade from a preset database, and controlling a cleaning device to clean the area to be cleaned according to the control instruction.
2. The cleaning method according to claim 1, wherein the environmental information includes environmental image information;
determining the pollution type of the area to be cleaned and the pollution level under the pollution type according to the environmental information, wherein the pollution type comprises the following steps:
identifying pollutants in the environment image information by using an image identification model, and determining the pollution type of the area to be cleaned according to an identification result; and
and calculating the size of the pollutant in the environment image information, and determining the pollution level corresponding to the pollution type according to the size of the pollutant.
3. The cleaning method of claim 2, wherein the image recognition model is constructed by:
performing machine learning training on an image recognition model to be trained by utilizing a plurality of groups of training data to obtain the image recognition model; wherein each of the plurality of sets of training data includes a pollutant picture and a pollution type corresponding to the pollutant picture.
4. The cleaning method according to claim 1, wherein the environmental information includes information on a kind of the microorganism and information on a number of the microorganism;
determining the pollution type of the area to be cleaned and the pollution level under the pollution type according to the environmental information, wherein the pollution type comprises the following steps:
determining the pollution type of the area to be cleaned according to the type information of the microorganisms; and
and determining the pollution level of the area to be cleaned according to the quantity information of the microorganisms.
5. The cleaning method of claim 1, wherein the database is constructed by:
acquiring cleaning modes corresponding to different pollution types respectively and parameter values correspondingly set in the same cleaning mode under different pollution levels;
and correlating the pollution type, the pollution level and the cleaning mode, and generating corresponding control instructions to construct the database.
6. The cleaning method according to claim 5, wherein after controlling the cleaning device to clean the area to be cleaned according to the control command, the method further comprises:
acquiring environment information of a cleaned area to be cleaned;
determining the residual degree of pollutants in the cleaned area to be cleaned according to the environment information of the cleaned area to be cleaned;
and adjusting the parameter value in the cleaning mode in the control instruction according to the residual degree of the pollutants to obtain the adjusted control instruction.
7. A storage medium having program code stored thereon, wherein the program code, when executed by a processor, implements a cleaning method as claimed in any one of claims 1 to 6.
8. A cleaning apparatus, comprising an environment detection device, a memory, a controller, and a cleaning device, wherein:
the environment detection device is used for acquiring environment information of an area to be cleaned;
the controller is used for executing the program code stored in the memory and used for realizing the cleaning method according to the environmental information collected by the environmental detection device and outputting a corresponding control instruction;
the cleaning device is used for cleaning the area to be cleaned according to the control instruction output by the controller.
9. The cleaning apparatus according to claim 8, wherein the environment detection device includes a camera for acquiring environment image information of the area to be cleaned to take the environment image as the environment information.
10. The cleaning apparatus according to claim 8, wherein the environment detection means includes microorganism detection means for acquiring information on the kind of microorganism and information on the number of the microorganism in the area to be cleaned, so as to take the information on the kind of microorganism and the information on the number of the microorganism as the environment information.
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| CN114570713A (en) * | 2022-03-21 | 2022-06-03 | 郑州市中心医院 | Tubular instrument cleaning and disinfecting parameter adjusting system for obstetrics and gynecology department |
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